diff --git a/.github/actions/install-cudnn/action.yml b/.github/actions/install-cudnn/action.yml
index a5afe666ba..e361985294 100644
--- a/.github/actions/install-cudnn/action.yml
+++ b/.github/actions/install-cudnn/action.yml
@@ -46,10 +46,12 @@ runs:
         Get-ChildItem -Path "${env:CUDA_PATH}\lib"
         Get-ChildItem -Path "C:\cudnn\" -Directory | Move-Item -Destination "C:\cudnn\cuda"
         Get-ChildItem -Path "C:\cudnn\"
+        Get-ChildItem -Path "C:\cudnn\cuda"
         Move-Item -Path "C:\cudnn\cuda\bin\cudnn*.dll" -Destination "${env:CUDA_PATH}\bin"
         Move-Item -Path "C:\cudnn\cuda\include\cudnn*.h" -Destination "${env:CUDA_PATH}\include"
         Move-Item -Path "C:\cudnn\cuda\lib\cudnn*.lib" -Destination "${env:CUDA_PATH}\lib\x64"
-        echo "CUDNN_INCLUDE_PATH=""${CUDA_PATH}\include""" | Out-File -FilePath $env:GITHUB_ENV -Encoding utf8 -Append
-        echo "CUDNN_LIBRARY_PATH=""${CUDA_PATH}\lib\x64""" | Out-File -FilePath $env:GITHUB_ENV -Encoding utf8 -Append
+        Move-Item -Path "C:\cudnn\cuda\lib\x64\cudnn*.lib" -Destination "${env:CUDA_PATH}\lib\x64"
+        echo "CUDNN_INCLUDE_PATH=""${env:CUDA_PATH}\include""" | Out-File -FilePath $env:GITHUB_ENV -Encoding utf8 -Append
+        echo "CUDNN_LIBRARY_PATH=""${env:CUDA_PATH}\lib\x64""" | Out-File -FilePath $env:GITHUB_ENV -Encoding utf8 -Append
         Remove-Item -Path cudnn.zip
       shell: pwsh
\ No newline at end of file
diff --git a/.github/actions/install-cudnn/cudnn-url.txt b/.github/actions/install-cudnn/cudnn-url.txt
index ee9cc650fc..9c10c44d98 100644
--- a/.github/actions/install-cudnn/cudnn-url.txt
+++ b/.github/actions/install-cudnn/cudnn-url.txt
@@ -1,8 +1,10 @@
 windows 11.3    https://torch-cdn.mlverse.org/cudnn/cudnn-11.3-windows-x64-v8.2.1.32.zip
 windows 11.7    https://developer.download.nvidia.com/compute/redist/cudnn/v8.5.0/local_installers/11.7/cudnn-windows-x86_64-8.5.0.96_cuda11-archive.zip
 windows 11.8    https://developer.download.nvidia.com/compute/redist/cudnn/v8.7.0/local_installers/11.8/cudnn-windows-x86_64-8.7.0.84_cuda11-archive.zip
+windows 12.4    https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/windows-x86_64/cudnn-windows-x86_64-8.9.7.29_cuda12-archive.zip
 linux   11.3    https://torch-cdn.mlverse.org/cudnn/cudnn-11.3-linux-x64-v8.2.1.32.tgz
 linux   11.6    https://torch-cdn.mlverse.org/cudnn/cudnn-linux-x86_64-8.6.0.163_cuda11-archive.tgz
 linux   10.2    https://torch-cdn.mlverse.org/cudnn/cudnn-10.2-linux-x64-v7.6.5.32.tgz
 linux   11.7    https://torch-cdn.mlverse.org/cudnn/cudnn-linux-x86_64-8.5.0.96_cuda11-archive.tar.xz
-linux   11.8    https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/cudnn-linux-x86_64-8.9.0.131_cuda11-archive.tar.xz
\ No newline at end of file
+linux   11.8    https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/cudnn-linux-x86_64-8.9.0.131_cuda11-archive.tar.xz
+linux   12.4    https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/cudnn-linux-x86_64-8.9.7.29_cuda12-archive.tar.xz
\ No newline at end of file
diff --git a/.github/workflows/lantern.yaml b/.github/workflows/lantern.yaml
index c0edddb299..b631b31dcd 100644
--- a/.github/workflows/lantern.yaml
+++ b/.github/workflows/lantern.yaml
@@ -18,16 +18,16 @@ jobs:
         config: 
           # when changing supported versions here, please modify supported versions
           # in install.R
-          - {os: macOS, version: cpu-intel, runner: macos-12}
+          - {os: macOS, version: cpu-intel, runner: macos-13}
           - {os: macOS, version: cpu-m1, runner: [self-hosted, m1]}
           
           - {os: ubuntu, version: cpu, runner: ubuntu-latest}
-          - {os: ubuntu, version: cu11.7, runner: [self-hosted, linux]}
           - {os: ubuntu, version: cu11.8, runner: [self-hosted, linux]}
+          - {os: ubuntu, version: cu12.4, runner: [self-hosted, linux]}
 
-          - {os: windows, version: cpu, runner: windows-2019}
-          - {os: windows, version: cu11.7, runner: windows-2019}
+          - {os: windows, version: cpu, runner: windows-2022}
           - {os: windows, version: cu11.8, runner: windows-2019}
+          - {os: windows, version: cu12.4, runner: windows-2019}
         
         precxx11abi: [0, 1]
 
@@ -39,16 +39,14 @@ jobs:
           - config: {os: ubuntu}
             precxx11abi: 1
             container: ubuntu:20.04
-          
-          # specify the CUDA patch for each major/minor version.
-          # required for cuda installation
-          - config: {version: cu11.7}
-            cuda: 11.7
-            cuda_patch: 1
             
           - config: {version: cu11.8}
             cuda: 11.8
             cuda_patch: 0
+          
+          - config: {version: cu12.4}
+            cuda: 12.4
+            cuda_patch: 1
 
         exclude:
           - config: {os: macOS}
@@ -80,17 +78,18 @@ jobs:
 
       - name: Install CUDA
         if: ${{matrix.cuda != ''}}
-        uses: Jimver/cuda-toolkit@v0.2.10
+        uses: Jimver/cuda-toolkit@v0.2.18
         id: cuda-toolkit
         with:
           cuda: "${{matrix.cuda}}.${{matrix.cuda_patch}}"
+          log-file-suffix: '${{matrix.cuda}}.${{matrix.cuda_patch}}.${{matrix.precxx11abi}}.txt'
           
       - name: Install CuDNN
         if: ${{ matrix.cuda != '' }}
         uses: ./.github/actions/install-cudnn
         with:
           cuda_version: ${{ matrix.cuda }}
-        
+
       - name: Run cmake
         run: |
           cd src/lantern/
diff --git a/.github/workflows/main.yaml b/.github/workflows/main.yaml
index e1996cd610..281ea3b016 100644
--- a/.github/workflows/main.yaml
+++ b/.github/workflows/main.yaml
@@ -32,18 +32,14 @@ jobs:
 
           - {os: ubuntu, r_version: release, version: cpu, runner: ubuntu-20.04}
           - {os: ubuntu, r_version: release, version: cpu, runner: ubuntu-20.04, precxx11abi: 1}
-          - {os: ubuntu, r_version: release, version: cu11.7, runner: [self-hosted, gpu-local]}
-          - {os: ubuntu, r_version: release, version: cu11.8, runner: [self-hosted, gpu-local]}
+          - {os: ubuntu, r_version: release, version: cu12.4, runner: [self-hosted, gpu-local]}
 
           - {os: windows, r_version: release, version: cpu, runner: windows-latest}
         
         include:
           
-          - config: {os: ubuntu, version: cu11.7}
-            container: {image: 'nvidia/cuda:11.7.1-cudnn8-devel-ubuntu20.04', options: '--gpus all --runtime=nvidia'}
-
-          - config: {os: ubuntu, version: cu11.8}
-            container: {image: 'nvidia/cuda:11.8.0-cudnn8-devel-ubuntu20.04', options: '--gpus all --runtime=nvidia'}
+          - config: {os: ubuntu, version: cu12.4}
+            container: {image: 'nvidia/cuda:12.4.1-cudnn-devel-ubuntu20.04', options: '--gpus all --runtime=nvidia'}
 
     runs-on: ${{ matrix.config.runner }}
     container: ${{ matrix.container }}
@@ -79,7 +75,7 @@ jobs:
       - uses: ./.github/actions/setup-r
         with:
           r_version: ${{ matrix.config.r_version}}
-      
+
       - name: Setup cmake
         uses: jwlawson/actions-setup-cmake@v1
         if: ${{ env.BUILD_LANTERN == 1}}
@@ -91,16 +87,15 @@ jobs:
           cache: false
           extra-packages: any::rcmdcheck
           needs: check
-      
-      - run: |
-          Sys.getenv("PRECXX11ABI")
-          Sys.setenv("PRECXX11ABI" = 1)
-          pkgbuild::build()
-        shell: Rscript {0}
- 
+
+      - name: Session info
+        run: |
+          Rscript -e "sessionInfo()"
+
       - uses: r-lib/actions/check-r-package@v2
         with:
           error-on: '"error"'
           args: 'c("--no-multiarch", "--no-manual", "--as-cran")'
+
       
       
diff --git a/DESCRIPTION b/DESCRIPTION
index 01b86796a3..feb1ced255 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,7 +1,7 @@
 Package: torch
 Type: Package
 Title: Tensors and Neural Networks with 'GPU' Acceleration
-Version: 0.13.0.9000
+Version: 0.13.0.9001
 Authors@R: c(
     person("Daniel", "Falbel", email = "daniel@rstudio.com", role = c("aut", "cre", "cph")),
     person("Javier", "Luraschi", email = "jluraschi@gmail.com", role = c("aut")),
@@ -11,6 +11,7 @@ Authors@R: c(
     person("Krzysztof", "Joachimiak", role = c("ctb")),
     person("Hamada S.", "Badr", role = c("ctb")),
     person("Sebastian", "Fischer", role = c("ctb")),
+    person("Maximilian", "Pichler", role = c("ctb")),
     person(family = "RStudio", role = c("cph"))
     )
 Description: Provides functionality to define and train neural networks similar to
@@ -43,8 +44,9 @@ Imports:
     glue,
     desc,
     safetensors (>= 0.1.1),
-    jsonlite
-RoxygenNote: 7.3.1
+    jsonlite,
+    scales
+RoxygenNote: 7.3.2
 Roxygen: list(markdown = TRUE)
 Suggests:
     testthat (>= 3.0.0),
@@ -177,3 +179,5 @@ Collate:
     'variable_list.R'
     'with-indices.R'
     'wrapers.R'
+Remotes:
+    RcppCore/Rcpp
diff --git a/NEWS.md b/NEWS.md
index 19583433cd..a52fcd8fd6 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -3,6 +3,7 @@
 ## Bug fixes
 
 - `torch_iinfo()` now support all integer dtypes (#1190 @cregouby)
+- Fixed float key_padding_mask in `nnf_multi_head_attention_forward()` (#1205)
 
 # torch 0.13.0
 
diff --git a/R/RcppExports.R b/R/RcppExports.R
index c065c5de94..41beb7cef8 100644
--- a/R/RcppExports.R
+++ b/R/RcppExports.R
@@ -561,6 +561,10 @@ cpp_torch_method_all_self_Tensor_dim_int64_t <- function(self, dim, keepdim) {
     .Call(`_torch_cpp_torch_method_all_self_Tensor_dim_int64_t`, self, dim, keepdim)
 }
 
+cpp_torch_method_all_self_Tensor_dim_IntArrayRef <- function(self, dim, keepdim) {
+    .Call(`_torch_cpp_torch_method_all_self_Tensor_dim_IntArrayRef`, self, dim, keepdim)
+}
+
 cpp_torch_method_all_self_Tensor_dim_Dimname <- function(self, dim, keepdim) {
     .Call(`_torch_cpp_torch_method_all_self_Tensor_dim_Dimname`, self, dim, keepdim)
 }
@@ -573,6 +577,10 @@ cpp_torch_method_any_self_Tensor_dim_int64_t <- function(self, dim, keepdim) {
     .Call(`_torch_cpp_torch_method_any_self_Tensor_dim_int64_t`, self, dim, keepdim)
 }
 
+cpp_torch_method_any_self_Tensor_dim_IntArrayRef <- function(self, dim, keepdim) {
+    .Call(`_torch_cpp_torch_method_any_self_Tensor_dim_IntArrayRef`, self, dim, keepdim)
+}
+
 cpp_torch_method_any_self_Tensor_dim_Dimname <- function(self, dim, keepdim) {
     .Call(`_torch_cpp_torch_method_any_self_Tensor_dim_Dimname`, self, dim, keepdim)
 }
@@ -725,6 +733,10 @@ cpp_torch_method_copysign__self_Tensor_other_Scalar <- function(self, other) {
     .Call(`_torch_cpp_torch_method_copysign__self_Tensor_other_Scalar`, self, other)
 }
 
+cpp_torch_method__lazy_clone_self_Tensor <- function(self) {
+    .Call(`_torch_cpp_torch_method__lazy_clone_self_Tensor`, self)
+}
+
 cpp_torch_method_logical_not_self_Tensor <- function(self) {
     .Call(`_torch_cpp_torch_method_logical_not_self_Tensor`, self)
 }
@@ -1209,8 +1221,8 @@ cpp_torch_method_lcm__self_Tensor_other_Tensor <- function(self, other) {
     .Call(`_torch_cpp_torch_method_lcm__self_Tensor_other_Tensor`, self, other)
 }
 
-cpp_torch_method_index_self_Tensor_indices_constc10Listc10optionalTensor <- function(self, indices) {
-    .Call(`_torch_cpp_torch_method_index_self_Tensor_indices_constc10Listc10optionalTensor`, self, indices)
+cpp_torch_method_index_self_Tensor_indices_constc10ListstdoptionalTensor <- function(self, indices) {
+    .Call(`_torch_cpp_torch_method_index_self_Tensor_indices_constc10ListstdoptionalTensor`, self, indices)
 }
 
 cpp_torch_method_index_copy__self_Tensor_dim_int64_t_index_Tensor_source_Tensor <- function(self, dim, index, source) {
@@ -1229,12 +1241,12 @@ cpp_torch_method_index_copy_self_Tensor_dim_Dimname_index_Tensor_source_Tensor <
     .Call(`_torch_cpp_torch_method_index_copy_self_Tensor_dim_Dimname_index_Tensor_source_Tensor`, self, dim, index, source)
 }
 
-cpp_torch_method_index_put__self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor <- function(self, indices, values, accumulate) {
-    .Call(`_torch_cpp_torch_method_index_put__self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor`, self, indices, values, accumulate)
+cpp_torch_method_index_put__self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor <- function(self, indices, values, accumulate) {
+    .Call(`_torch_cpp_torch_method_index_put__self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor`, self, indices, values, accumulate)
 }
 
-cpp_torch_method_index_put_self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor <- function(self, indices, values, accumulate) {
-    .Call(`_torch_cpp_torch_method_index_put_self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor`, self, indices, values, accumulate)
+cpp_torch_method_index_put_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor <- function(self, indices, values, accumulate) {
+    .Call(`_torch_cpp_torch_method_index_put_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor`, self, indices, values, accumulate)
 }
 
 cpp_torch_method_isclose_self_Tensor_other_Tensor <- function(self, other, rtol, atol, equal_nan) {
@@ -1773,6 +1785,10 @@ cpp_torch_method_slice_self_Tensor <- function(self, dim, start, end, step) {
     .Call(`_torch_cpp_torch_method_slice_self_Tensor`, self, dim, start, end, step)
 }
 
+cpp_torch_method_slice_inverse_self_Tensor_src_Tensor <- function(self, src, dim, start, end, step) {
+    .Call(`_torch_cpp_torch_method_slice_inverse_self_Tensor_src_Tensor`, self, src, dim, start, end, step)
+}
+
 cpp_torch_method_slice_scatter_self_Tensor_src_Tensor <- function(self, src, dim, start, end, step) {
     .Call(`_torch_cpp_torch_method_slice_scatter_self_Tensor_src_Tensor`, self, src, dim, start, end, step)
 }
@@ -2025,8 +2041,8 @@ cpp_torch_method__nested_tensor_strides_self_Tensor <- function(self) {
     .Call(`_torch_cpp_torch_method__nested_tensor_strides_self_Tensor`, self)
 }
 
-cpp_torch_method__nested_tensor_offsets_self_Tensor <- function(self) {
-    .Call(`_torch_cpp_torch_method__nested_tensor_offsets_self_Tensor`, self)
+cpp_torch_method__nested_tensor_storage_offsets_self_Tensor <- function(self) {
+    .Call(`_torch_cpp_torch_method__nested_tensor_storage_offsets_self_Tensor`, self)
 }
 
 cpp_torch_method_trunc_self_Tensor <- function(self) {
@@ -2193,12 +2209,16 @@ cpp_torch_method_sparse_mask_self_Tensor_mask_Tensor <- function(self, mask) {
     .Call(`_torch_cpp_torch_method_sparse_mask_self_Tensor_mask_Tensor`, self, mask)
 }
 
-cpp_torch_method_to_dense_self_Tensor <- function(self, dtype) {
-    .Call(`_torch_cpp_torch_method_to_dense_self_Tensor`, self, dtype)
+cpp_torch_method__sparse_mask_projection_self_Tensor_mask_Tensor <- function(self, mask, accumulate_matches) {
+    .Call(`_torch_cpp_torch_method__sparse_mask_projection_self_Tensor_mask_Tensor`, self, mask, accumulate_matches)
 }
 
-cpp_torch_method__to_dense_self_Tensor <- function(self, dtype) {
-    .Call(`_torch_cpp_torch_method__to_dense_self_Tensor`, self, dtype)
+cpp_torch_method_to_dense_self_Tensor <- function(self, dtype, masked_grad) {
+    .Call(`_torch_cpp_torch_method_to_dense_self_Tensor`, self, dtype, masked_grad)
+}
+
+cpp_torch_method__to_dense_self_Tensor <- function(self, dtype, masked_grad) {
+    .Call(`_torch_cpp_torch_method__to_dense_self_Tensor`, self, dtype, masked_grad)
 }
 
 cpp_torch_method_sparse_dim_self_Tensor <- function(self) {
@@ -2277,26 +2297,50 @@ cpp_torch_method_to_sparse_self_Tensor_sparse_dim_int64_t <- function(self, spar
     .Call(`_torch_cpp_torch_method_to_sparse_self_Tensor_sparse_dim_int64_t`, self, sparse_dim)
 }
 
+cpp_torch_method__to_sparse_self_Tensor_sparse_dim_int64_t <- function(self, sparse_dim) {
+    .Call(`_torch_cpp_torch_method__to_sparse_self_Tensor_sparse_dim_int64_t`, self, sparse_dim)
+}
+
 cpp_torch_method_to_sparse_self_Tensor <- function(self, layout, blocksize, dense_dim) {
     .Call(`_torch_cpp_torch_method_to_sparse_self_Tensor`, self, layout, blocksize, dense_dim)
 }
 
+cpp_torch_method__to_sparse_self_Tensor <- function(self, layout, blocksize, dense_dim) {
+    .Call(`_torch_cpp_torch_method__to_sparse_self_Tensor`, self, layout, blocksize, dense_dim)
+}
+
 cpp_torch_method_to_sparse_csr_self_Tensor <- function(self, dense_dim) {
     .Call(`_torch_cpp_torch_method_to_sparse_csr_self_Tensor`, self, dense_dim)
 }
 
+cpp_torch_method__to_sparse_csr_self_Tensor <- function(self, dense_dim) {
+    .Call(`_torch_cpp_torch_method__to_sparse_csr_self_Tensor`, self, dense_dim)
+}
+
 cpp_torch_method_to_sparse_csc_self_Tensor <- function(self, dense_dim) {
     .Call(`_torch_cpp_torch_method_to_sparse_csc_self_Tensor`, self, dense_dim)
 }
 
+cpp_torch_method__to_sparse_csc_self_Tensor <- function(self, dense_dim) {
+    .Call(`_torch_cpp_torch_method__to_sparse_csc_self_Tensor`, self, dense_dim)
+}
+
 cpp_torch_method_to_sparse_bsr_self_Tensor_blocksize_IntArrayRef <- function(self, blocksize, dense_dim) {
     .Call(`_torch_cpp_torch_method_to_sparse_bsr_self_Tensor_blocksize_IntArrayRef`, self, blocksize, dense_dim)
 }
 
+cpp_torch_method__to_sparse_bsr_self_Tensor_blocksize_IntArrayRef <- function(self, blocksize, dense_dim) {
+    .Call(`_torch_cpp_torch_method__to_sparse_bsr_self_Tensor_blocksize_IntArrayRef`, self, blocksize, dense_dim)
+}
+
 cpp_torch_method_to_sparse_bsc_self_Tensor_blocksize_IntArrayRef <- function(self, blocksize, dense_dim) {
     .Call(`_torch_cpp_torch_method_to_sparse_bsc_self_Tensor_blocksize_IntArrayRef`, self, blocksize, dense_dim)
 }
 
+cpp_torch_method__to_sparse_bsc_self_Tensor_blocksize_IntArrayRef <- function(self, blocksize, dense_dim) {
+    .Call(`_torch_cpp_torch_method__to_sparse_bsc_self_Tensor_blocksize_IntArrayRef`, self, blocksize, dense_dim)
+}
+
 cpp_torch_method_to_mkldnn_self_Tensor <- function(self, dtype) {
     .Call(`_torch_cpp_torch_method_to_mkldnn_self_Tensor`, self, dtype)
 }
@@ -2977,6 +3021,10 @@ cpp_torch_method_nonzero_self_Tensor <- function(self) {
     .Call(`_torch_cpp_torch_method_nonzero_self_Tensor`, self)
 }
 
+cpp_torch_method_nonzero_static_self_Tensor_size_int64_t <- function(self, size, fill_value) {
+    .Call(`_torch_cpp_torch_method_nonzero_static_self_Tensor_size_int64_t`, self, size, fill_value)
+}
+
 cpp_torch_method_nonzero_numpy_self_Tensor <- function(self) {
     .Call(`_torch_cpp_torch_method_nonzero_numpy_self_Tensor`, self)
 }
@@ -3473,10 +3521,46 @@ cpp_torch_namespace__assert_async_self_Tensor <- function(self) {
     invisible(.Call(`_torch_cpp_torch_namespace__assert_async_self_Tensor`, self))
 }
 
+cpp_torch_namespace__assert_async_self_Tensor_assert_msg_c10string_view <- function(self, assert_msg) {
+    invisible(.Call(`_torch_cpp_torch_namespace__assert_async_self_Tensor_assert_msg_c10string_view`, self, assert_msg))
+}
+
+cpp_torch_namespace__assert_scalar_self_Scalar_assert_msg_c10string_view <- function(self, assert_msg) {
+    invisible(.Call(`_torch_cpp_torch_namespace__assert_scalar_self_Scalar_assert_msg_c10string_view`, self, assert_msg))
+}
+
+cpp_torch_namespace__functional_assert_scalar_self_Scalar_assert_msg_c10string_view_dep_token_Tensor <- function(self, assert_msg, dep_token) {
+    .Call(`_torch_cpp_torch_namespace__functional_assert_scalar_self_Scalar_assert_msg_c10string_view_dep_token_Tensor`, self, assert_msg, dep_token)
+}
+
+cpp_torch_namespace__functional_assert_async_self_Tensor_assert_msg_c10string_view_dep_token_Tensor <- function(self, assert_msg, dep_token) {
+    .Call(`_torch_cpp_torch_namespace__functional_assert_async_self_Tensor_assert_msg_c10string_view_dep_token_Tensor`, self, assert_msg, dep_token)
+}
+
 cpp_torch_namespace__assert_tensor_metadata_a_Tensor <- function(a, size, stride, dtype) {
     invisible(.Call(`_torch_cpp_torch_namespace__assert_tensor_metadata_a_Tensor`, a, size, stride, dtype))
 }
 
+cpp_torch_namespace__print_s_c10string_view <- function(s) {
+    invisible(.Call(`_torch_cpp_torch_namespace__print_s_c10string_view`, s))
+}
+
+cpp_torch_namespace_sym_constrain_range_size_Scalar <- function(size, min, max) {
+    invisible(.Call(`_torch_cpp_torch_namespace_sym_constrain_range_size_Scalar`, size, min, max))
+}
+
+cpp_torch_namespace_sym_constrain_range_for_size_size_Scalar <- function(size, min, max) {
+    invisible(.Call(`_torch_cpp_torch_namespace_sym_constrain_range_for_size_size_Scalar`, size, min, max))
+}
+
+cpp_torch_namespace__functional_sym_constrain_range_size_Scalar_min_int64_t_max_int64_t_dep_token_Tensor <- function(size, min, max, dep_token) {
+    .Call(`_torch_cpp_torch_namespace__functional_sym_constrain_range_size_Scalar_min_int64_t_max_int64_t_dep_token_Tensor`, size, min, max, dep_token)
+}
+
+cpp_torch_namespace__functional_sym_constrain_range_for_size_size_Scalar_min_int64_t_max_int64_t_dep_token_Tensor <- function(size, min, max, dep_token) {
+    .Call(`_torch_cpp_torch_namespace__functional_sym_constrain_range_for_size_size_Scalar_min_int64_t_max_int64_t_dep_token_Tensor`, size, min, max, dep_token)
+}
+
 cpp_torch_namespace__use_cudnn_ctc_loss_log_probs_Tensor_targets_Tensor_input_lengths_IntArrayRef_target_lengths_IntArrayRef_blank_int64_t <- function(log_probs, targets, input_lengths, target_lengths, blank) {
     .Call(`_torch_cpp_torch_namespace__use_cudnn_ctc_loss_log_probs_Tensor_targets_Tensor_input_lengths_IntArrayRef_target_lengths_IntArrayRef_blank_int64_t`, log_probs, targets, input_lengths, target_lengths, blank)
 }
@@ -3781,14 +3865,26 @@ cpp_torch_namespace__test_check_tensor_self_Tensor <- function(self) {
     .Call(`_torch_cpp_torch_namespace__test_check_tensor_self_Tensor`, self)
 }
 
+cpp_torch_namespace__test_functorch_fallback_self_Tensor_other_Tensor <- function(self, other) {
+    .Call(`_torch_cpp_torch_namespace__test_functorch_fallback_self_Tensor_other_Tensor`, self, other)
+}
+
 cpp_torch_namespace_all_self_Tensor_dim_int64_t <- function(self, dim, keepdim) {
     .Call(`_torch_cpp_torch_namespace_all_self_Tensor_dim_int64_t`, self, dim, keepdim)
 }
 
+cpp_torch_namespace_all_self_Tensor_dim_IntArrayRef <- function(self, dim, keepdim) {
+    .Call(`_torch_cpp_torch_namespace_all_self_Tensor_dim_IntArrayRef`, self, dim, keepdim)
+}
+
 cpp_torch_namespace_all_out_out_Tensor_self_Tensor_dim_int64_t <- function(out, self, dim, keepdim) {
     .Call(`_torch_cpp_torch_namespace_all_out_out_Tensor_self_Tensor_dim_int64_t`, out, self, dim, keepdim)
 }
 
+cpp_torch_namespace_all_out_out_Tensor_self_Tensor_dim_IntArrayRef <- function(out, self, dim, keepdim) {
+    .Call(`_torch_cpp_torch_namespace_all_out_out_Tensor_self_Tensor_dim_IntArrayRef`, out, self, dim, keepdim)
+}
+
 cpp_torch_namespace_all_self_Tensor_dim_Dimname <- function(self, dim, keepdim) {
     .Call(`_torch_cpp_torch_namespace_all_self_Tensor_dim_Dimname`, self, dim, keepdim)
 }
@@ -3805,10 +3901,18 @@ cpp_torch_namespace_any_self_Tensor_dim_int64_t <- function(self, dim, keepdim)
     .Call(`_torch_cpp_torch_namespace_any_self_Tensor_dim_int64_t`, self, dim, keepdim)
 }
 
+cpp_torch_namespace_any_self_Tensor_dim_IntArrayRef <- function(self, dim, keepdim) {
+    .Call(`_torch_cpp_torch_namespace_any_self_Tensor_dim_IntArrayRef`, self, dim, keepdim)
+}
+
 cpp_torch_namespace_any_out_out_Tensor_self_Tensor_dim_int64_t <- function(out, self, dim, keepdim) {
     .Call(`_torch_cpp_torch_namespace_any_out_out_Tensor_self_Tensor_dim_int64_t`, out, self, dim, keepdim)
 }
 
+cpp_torch_namespace_any_out_out_Tensor_self_Tensor_dim_IntArrayRef <- function(out, self, dim, keepdim) {
+    .Call(`_torch_cpp_torch_namespace_any_out_out_Tensor_self_Tensor_dim_IntArrayRef`, out, self, dim, keepdim)
+}
+
 cpp_torch_namespace_any_self_Tensor_dim_Dimname <- function(self, dim, keepdim) {
     .Call(`_torch_cpp_torch_namespace_any_self_Tensor_dim_Dimname`, self, dim, keepdim)
 }
@@ -4101,6 +4205,10 @@ cpp_torch_namespace_copysign_out_out_Tensor_self_Tensor_other_Scalar <- function
     .Call(`_torch_cpp_torch_namespace_copysign_out_out_Tensor_self_Tensor_other_Scalar`, out, self, other)
 }
 
+cpp_torch_namespace__lazy_clone_self_Tensor <- function(self) {
+    .Call(`_torch_cpp_torch_namespace__lazy_clone_self_Tensor`, self)
+}
+
 cpp_torch_namespace_logical_not_self_Tensor <- function(self) {
     .Call(`_torch_cpp_torch_namespace_logical_not_self_Tensor`, self)
 }
@@ -4525,6 +4633,10 @@ cpp_torch_namespace_cudnn_convolution_self_Tensor_weight_Tensor_padding_IntArray
     .Call(`_torch_cpp_torch_namespace_cudnn_convolution_self_Tensor_weight_Tensor_padding_IntArrayRef_stride_IntArrayRef_dilation_IntArrayRef_groups_int64_t_benchmark_bool_deterministic_bool_allow_tf32_bool`, self, weight, padding, stride, dilation, groups, benchmark, deterministic, allow_tf32)
 }
 
+cpp_torch_namespace_cudnn_convolution_out_out_Tensor_self_Tensor_weight_Tensor_padding_IntArrayRef_stride_IntArrayRef_dilation_IntArrayRef_groups_int64_t_benchmark_bool_deterministic_bool_allow_tf32_bool <- function(out, self, weight, padding, stride, dilation, groups, benchmark, deterministic, allow_tf32) {
+    .Call(`_torch_cpp_torch_namespace_cudnn_convolution_out_out_Tensor_self_Tensor_weight_Tensor_padding_IntArrayRef_stride_IntArrayRef_dilation_IntArrayRef_groups_int64_t_benchmark_bool_deterministic_bool_allow_tf32_bool`, out, self, weight, padding, stride, dilation, groups, benchmark, deterministic, allow_tf32)
+}
+
 cpp_torch_namespace_cudnn_convolution_transpose_self_Tensor_weight_Tensor_padding_IntArrayRef_output_padding_IntArrayRef_stride_IntArrayRef_dilation_IntArrayRef_groups_int64_t_benchmark_bool_deterministic_bool_allow_tf32_bool <- function(self, weight, padding, output_padding, stride, dilation, groups, benchmark, deterministic, allow_tf32) {
     .Call(`_torch_cpp_torch_namespace_cudnn_convolution_transpose_self_Tensor_weight_Tensor_padding_IntArrayRef_output_padding_IntArrayRef_stride_IntArrayRef_dilation_IntArrayRef_groups_int64_t_benchmark_bool_deterministic_bool_allow_tf32_bool`, self, weight, padding, output_padding, stride, dilation, groups, benchmark, deterministic, allow_tf32)
 }
@@ -4877,6 +4989,10 @@ cpp_torch_namespace_empty_size_IntArrayRef <- function(size, options, memory_for
     .Call(`_torch_cpp_torch_namespace_empty_size_IntArrayRef`, size, options, memory_format)
 }
 
+cpp_torch_namespace_empty_permuted_size_IntArrayRef_physical_layout_IntArrayRef <- function(size, physical_layout, options) {
+    .Call(`_torch_cpp_torch_namespace_empty_permuted_size_IntArrayRef_physical_layout_IntArrayRef`, size, physical_layout, options)
+}
+
 cpp_torch_namespace__empty_affine_quantized_size_IntArrayRef <- function(size, options, scale, zero_point, memory_format) {
     .Call(`_torch_cpp_torch_namespace__empty_affine_quantized_size_IntArrayRef`, size, options, scale, zero_point, memory_format)
 }
@@ -5209,28 +5325,24 @@ cpp_torch_namespace__validate_compressed_sparse_indices_is_crow_bool_compressed_
     invisible(.Call(`_torch_cpp_torch_namespace__validate_compressed_sparse_indices_is_crow_bool_compressed_idx_Tensor_plain_idx_Tensor_cdim_int64_t_dim_int64_t_nnz_int64_t`, is_crow, compressed_idx, plain_idx, cdim, dim, nnz))
 }
 
-cpp_torch_namespace__cufft_get_plan_cache_size_device_index_int64_t <- function(device_index) {
-    .Call(`_torch_cpp_torch_namespace__cufft_get_plan_cache_size_device_index_int64_t`, device_index)
+cpp_torch_namespace_index_self_Tensor_indices_constc10ListstdoptionalTensor <- function(self, indices) {
+    .Call(`_torch_cpp_torch_namespace_index_self_Tensor_indices_constc10ListstdoptionalTensor`, self, indices)
 }
 
-cpp_torch_namespace__cufft_get_plan_cache_max_size_device_index_int64_t <- function(device_index) {
-    .Call(`_torch_cpp_torch_namespace__cufft_get_plan_cache_max_size_device_index_int64_t`, device_index)
+cpp_torch_namespace_index_out_out_Tensor_self_Tensor_indices_constc10ListstdoptionalTensor <- function(out, self, indices) {
+    .Call(`_torch_cpp_torch_namespace_index_out_out_Tensor_self_Tensor_indices_constc10ListstdoptionalTensor`, out, self, indices)
 }
 
-cpp_torch_namespace__cufft_set_plan_cache_max_size_device_index_int64_t_max_size_int64_t <- function(device_index, max_size) {
-    invisible(.Call(`_torch_cpp_torch_namespace__cufft_set_plan_cache_max_size_device_index_int64_t_max_size_int64_t`, device_index, max_size))
+cpp_torch_namespace__unsafe_index_self_Tensor_indices_constc10ListstdoptionalTensor <- function(self, indices) {
+    .Call(`_torch_cpp_torch_namespace__unsafe_index_self_Tensor_indices_constc10ListstdoptionalTensor`, self, indices)
 }
 
-cpp_torch_namespace__cufft_clear_plan_cache_device_index_int64_t <- function(device_index) {
-    invisible(.Call(`_torch_cpp_torch_namespace__cufft_clear_plan_cache_device_index_int64_t`, device_index))
+cpp_torch_namespace__unsafe_masked_index_self_Tensor_mask_Tensor_indices_constc10ListstdoptionalTensor_fill_Scalar <- function(self, mask, indices, fill) {
+    .Call(`_torch_cpp_torch_namespace__unsafe_masked_index_self_Tensor_mask_Tensor_indices_constc10ListstdoptionalTensor_fill_Scalar`, self, mask, indices, fill)
 }
 
-cpp_torch_namespace_index_self_Tensor_indices_constc10Listc10optionalTensor <- function(self, indices) {
-    .Call(`_torch_cpp_torch_namespace_index_self_Tensor_indices_constc10Listc10optionalTensor`, self, indices)
-}
-
-cpp_torch_namespace_index_out_out_Tensor_self_Tensor_indices_constc10Listc10optionalTensor <- function(out, self, indices) {
-    .Call(`_torch_cpp_torch_namespace_index_out_out_Tensor_self_Tensor_indices_constc10Listc10optionalTensor`, out, self, indices)
+cpp_torch_namespace__unsafe_masked_index_put_accumulate_self_Tensor_mask_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor <- function(self, mask, indices, values) {
+    .Call(`_torch_cpp_torch_namespace__unsafe_masked_index_put_accumulate_self_Tensor_mask_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor`, self, mask, indices, values)
 }
 
 cpp_torch_namespace_index_copy_out_out_Tensor_self_Tensor_dim_int64_t_index_Tensor_source_Tensor <- function(out, self, dim, index, source) {
@@ -5245,16 +5357,20 @@ cpp_torch_namespace_index_copy_self_Tensor_dim_Dimname_index_Tensor_source_Tenso
     .Call(`_torch_cpp_torch_namespace_index_copy_self_Tensor_dim_Dimname_index_Tensor_source_Tensor`, self, dim, index, source)
 }
 
-cpp_torch_namespace_index_put__self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor <- function(self, indices, values, accumulate) {
-    .Call(`_torch_cpp_torch_namespace_index_put__self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor`, self, indices, values, accumulate)
+cpp_torch_namespace_index_put__self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor <- function(self, indices, values, accumulate) {
+    .Call(`_torch_cpp_torch_namespace_index_put__self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor`, self, indices, values, accumulate)
+}
+
+cpp_torch_namespace_index_put_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor <- function(self, indices, values, accumulate) {
+    .Call(`_torch_cpp_torch_namespace_index_put_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor`, self, indices, values, accumulate)
 }
 
-cpp_torch_namespace_index_put_self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor <- function(self, indices, values, accumulate) {
-    .Call(`_torch_cpp_torch_namespace_index_put_self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor`, self, indices, values, accumulate)
+cpp_torch_namespace__unsafe_index_put_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor <- function(self, indices, values, accumulate) {
+    .Call(`_torch_cpp_torch_namespace__unsafe_index_put_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor`, self, indices, values, accumulate)
 }
 
-cpp_torch_namespace__index_put_impl__self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor <- function(self, indices, values, accumulate, unsafe) {
-    .Call(`_torch_cpp_torch_namespace__index_put_impl__self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor`, self, indices, values, accumulate, unsafe)
+cpp_torch_namespace__index_put_impl__self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor <- function(self, indices, values, accumulate, unsafe) {
+    .Call(`_torch_cpp_torch_namespace__index_put_impl__self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor`, self, indices, values, accumulate, unsafe)
 }
 
 cpp_torch_namespace_instance_norm_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_use_input_stats_bool_momentum_double_eps_double_cudnn_enabled_bool <- function(input, weight, bias, running_mean, running_var, use_input_stats, momentum, eps, cudnn_enabled) {
@@ -5377,6 +5493,10 @@ cpp_torch_namespace_native_layer_norm_backward_grad_out_Tensor_input_Tensor_norm
     .Call(`_torch_cpp_torch_namespace_native_layer_norm_backward_grad_out_Tensor_input_Tensor_normalized_shape_IntArrayRef_mean_Tensor_rstd_Tensor_weight_Tensor_bias_Tensor_output_mask_stdarraybool3`, grad_out, input, normalized_shape, mean, rstd, weight, bias, output_mask)
 }
 
+cpp_torch_namespace_rms_norm_input_Tensor_normalized_shape_IntArrayRef <- function(input, normalized_shape, weight, eps) {
+    .Call(`_torch_cpp_torch_namespace_rms_norm_input_Tensor_normalized_shape_IntArrayRef`, input, normalized_shape, weight, eps)
+}
+
 cpp_torch_namespace_nan_to_num_self_Tensor <- function(self, nan, posinf, neginf) {
     .Call(`_torch_cpp_torch_namespace_nan_to_num_self_Tensor`, self, nan, posinf, neginf)
 }
@@ -5417,6 +5537,46 @@ cpp_torch_namespace_mkldnn_linear_backward_self_Tensor_grad_output_Tensor_weight
     .Call(`_torch_cpp_torch_namespace_mkldnn_linear_backward_self_Tensor_grad_output_Tensor_weight_Tensor_output_mask_stdarraybool3`, self, grad_output, weight, output_mask)
 }
 
+cpp_torch_namespace__cslt_compress_input_Tensor <- function(input) {
+    .Call(`_torch_cpp_torch_namespace__cslt_compress_input_Tensor`, input)
+}
+
+cpp_torch_namespace__cslt_sparse_mm_compressed_A_Tensor_dense_B_Tensor <- function(compressed_A, dense_B, bias, alpha, out_dtype, transpose_result, alg_id) {
+    .Call(`_torch_cpp_torch_namespace__cslt_sparse_mm_compressed_A_Tensor_dense_B_Tensor`, compressed_A, dense_B, bias, alpha, out_dtype, transpose_result, alg_id)
+}
+
+cpp_torch_namespace__cslt_sparse_mm_search_compressed_A_Tensor_dense_B_Tensor <- function(compressed_A, dense_B, bias, alpha, out_dtype, transpose_result) {
+    .Call(`_torch_cpp_torch_namespace__cslt_sparse_mm_search_compressed_A_Tensor_dense_B_Tensor`, compressed_A, dense_B, bias, alpha, out_dtype, transpose_result)
+}
+
+cpp_torch_namespace__sparse_semi_structured_tile_input_Tensor <- function(input, algorithm, use_cutlass) {
+    .Call(`_torch_cpp_torch_namespace__sparse_semi_structured_tile_input_Tensor`, input, algorithm, use_cutlass)
+}
+
+cpp_torch_namespace__sparse_semi_structured_apply_input_Tensor_thread_masks_Tensor <- function(input, thread_masks) {
+    .Call(`_torch_cpp_torch_namespace__sparse_semi_structured_apply_input_Tensor_thread_masks_Tensor`, input, thread_masks)
+}
+
+cpp_torch_namespace__sparse_semi_structured_apply_dense_input_Tensor_thread_masks_Tensor <- function(input, thread_masks) {
+    .Call(`_torch_cpp_torch_namespace__sparse_semi_structured_apply_dense_input_Tensor_thread_masks_Tensor`, input, thread_masks)
+}
+
+cpp_torch_namespace__sparse_semi_structured_linear_input_Tensor_weight_Tensor_meta_Tensor <- function(input, weight, meta, bias, activation, out_dtype) {
+    .Call(`_torch_cpp_torch_namespace__sparse_semi_structured_linear_input_Tensor_weight_Tensor_meta_Tensor`, input, weight, meta, bias, activation, out_dtype)
+}
+
+cpp_torch_namespace__sparse_semi_structured_mm_mat1_Tensor_mat1_meta_Tensor_mat2_Tensor <- function(mat1, mat1_meta, mat2, out_dtype) {
+    .Call(`_torch_cpp_torch_namespace__sparse_semi_structured_mm_mat1_Tensor_mat1_meta_Tensor_mat2_Tensor`, mat1, mat1_meta, mat2, out_dtype)
+}
+
+cpp_torch_namespace__sparse_semi_structured_addmm_input_Tensor_mat1_Tensor_mat1_meta_Tensor_mat2_Tensor <- function(input, mat1, mat1_meta, mat2, alpha, beta, out_dtype) {
+    .Call(`_torch_cpp_torch_namespace__sparse_semi_structured_addmm_input_Tensor_mat1_Tensor_mat1_meta_Tensor_mat2_Tensor`, input, mat1, mat1_meta, mat2, alpha, beta, out_dtype)
+}
+
+cpp_torch_namespace__mixed_dtypes_linear_input_Tensor_weight_Tensor_scale_Tensor <- function(input, weight, scale, bias, activation) {
+    .Call(`_torch_cpp_torch_namespace__mixed_dtypes_linear_input_Tensor_weight_Tensor_scale_Tensor`, input, weight, scale, bias, activation)
+}
+
 cpp_torch_namespace_fbgemm_linear_int8_weight_fp32_activation_input_Tensor_weight_Tensor_packed_Tensor_col_offsets_Tensor_weight_scale_Scalar_weight_zero_point_Scalar_bias_Tensor <- function(input, weight, packed, col_offsets, weight_scale, weight_zero_point, bias) {
     .Call(`_torch_cpp_torch_namespace_fbgemm_linear_int8_weight_fp32_activation_input_Tensor_weight_Tensor_packed_Tensor_col_offsets_Tensor_weight_scale_Scalar_weight_zero_point_Scalar_bias_Tensor`, input, weight, packed, col_offsets, weight_scale, weight_zero_point, bias)
 }
@@ -5433,6 +5593,14 @@ cpp_torch_namespace_fbgemm_pack_gemm_matrix_fp16_input_Tensor <- function(input)
     .Call(`_torch_cpp_torch_namespace_fbgemm_pack_gemm_matrix_fp16_input_Tensor`, input)
 }
 
+cpp_torch_namespace__wrapped_linear_prepack_weight_Tensor_weight_scale_Tensor_weight_zero_point_Tensor_bias_Tensor <- function(weight, weight_scale, weight_zero_point, bias) {
+    .Call(`_torch_cpp_torch_namespace__wrapped_linear_prepack_weight_Tensor_weight_scale_Tensor_weight_zero_point_Tensor_bias_Tensor`, weight, weight_scale, weight_zero_point, bias)
+}
+
+cpp_torch_namespace__wrapped_quantized_linear_prepacked_input_Tensor_input_scale_Tensor_input_zero_point_Tensor_packed_weight_Tensor_output_scale_Tensor_output_zero_point_Tensor_out_channel_int64_t <- function(input, input_scale, input_zero_point, packed_weight, output_scale, output_zero_point, out_channel) {
+    .Call(`_torch_cpp_torch_namespace__wrapped_quantized_linear_prepacked_input_Tensor_input_scale_Tensor_input_zero_point_Tensor_packed_weight_Tensor_output_scale_Tensor_output_zero_point_Tensor_out_channel_int64_t`, input, input_scale, input_zero_point, packed_weight, output_scale, output_zero_point, out_channel)
+}
+
 cpp_torch_namespace_fbgemm_linear_fp16_weight_fp32_activation_input_Tensor_packed_weight_Tensor_bias_Tensor <- function(input, packed_weight, bias) {
     .Call(`_torch_cpp_torch_namespace_fbgemm_linear_fp16_weight_fp32_activation_input_Tensor_packed_weight_Tensor_bias_Tensor`, input, packed_weight, bias)
 }
@@ -5465,10 +5633,34 @@ cpp_torch_namespace_linspace_start_Scalar_end_Scalar_steps_int64_t <- function(s
     .Call(`_torch_cpp_torch_namespace_linspace_start_Scalar_end_Scalar_steps_int64_t`, start, end, steps, options)
 }
 
+cpp_torch_namespace_linspace_start_Tensor_end_Tensor_steps_int64_t <- function(start, end, steps, options) {
+    .Call(`_torch_cpp_torch_namespace_linspace_start_Tensor_end_Tensor_steps_int64_t`, start, end, steps, options)
+}
+
+cpp_torch_namespace_linspace_start_Tensor_end_Scalar_steps_int64_t <- function(start, end, steps, options) {
+    .Call(`_torch_cpp_torch_namespace_linspace_start_Tensor_end_Scalar_steps_int64_t`, start, end, steps, options)
+}
+
+cpp_torch_namespace_linspace_start_Scalar_end_Tensor_steps_int64_t <- function(start, end, steps, options) {
+    .Call(`_torch_cpp_torch_namespace_linspace_start_Scalar_end_Tensor_steps_int64_t`, start, end, steps, options)
+}
+
 cpp_torch_namespace_linspace_out_out_Tensor_start_Scalar_end_Scalar_steps_int64_t <- function(out, start, end, steps) {
     .Call(`_torch_cpp_torch_namespace_linspace_out_out_Tensor_start_Scalar_end_Scalar_steps_int64_t`, out, start, end, steps)
 }
 
+cpp_torch_namespace_linspace_out_out_Tensor_start_Tensor_end_Tensor_steps_int64_t <- function(out, start, end, steps) {
+    .Call(`_torch_cpp_torch_namespace_linspace_out_out_Tensor_start_Tensor_end_Tensor_steps_int64_t`, out, start, end, steps)
+}
+
+cpp_torch_namespace_linspace_out_out_Tensor_start_Tensor_end_Scalar_steps_int64_t <- function(out, start, end, steps) {
+    .Call(`_torch_cpp_torch_namespace_linspace_out_out_Tensor_start_Tensor_end_Scalar_steps_int64_t`, out, start, end, steps)
+}
+
+cpp_torch_namespace_linspace_out_out_Tensor_start_Scalar_end_Tensor_steps_int64_t <- function(out, start, end, steps) {
+    .Call(`_torch_cpp_torch_namespace_linspace_out_out_Tensor_start_Scalar_end_Tensor_steps_int64_t`, out, start, end, steps)
+}
+
 cpp_torch_namespace_log_self_Tensor <- function(self) {
     .Call(`_torch_cpp_torch_namespace_log_self_Tensor`, self)
 }
@@ -5569,10 +5761,34 @@ cpp_torch_namespace_logspace_start_Scalar_end_Scalar_steps_int64_t <- function(s
     .Call(`_torch_cpp_torch_namespace_logspace_start_Scalar_end_Scalar_steps_int64_t`, start, end, steps, base, options)
 }
 
+cpp_torch_namespace_logspace_start_Tensor_end_Tensor_steps_int64_t <- function(start, end, steps, base, options) {
+    .Call(`_torch_cpp_torch_namespace_logspace_start_Tensor_end_Tensor_steps_int64_t`, start, end, steps, base, options)
+}
+
+cpp_torch_namespace_logspace_start_Tensor_end_Scalar_steps_int64_t <- function(start, end, steps, base, options) {
+    .Call(`_torch_cpp_torch_namespace_logspace_start_Tensor_end_Scalar_steps_int64_t`, start, end, steps, base, options)
+}
+
+cpp_torch_namespace_logspace_start_Scalar_end_Tensor_steps_int64_t <- function(start, end, steps, base, options) {
+    .Call(`_torch_cpp_torch_namespace_logspace_start_Scalar_end_Tensor_steps_int64_t`, start, end, steps, base, options)
+}
+
 cpp_torch_namespace_logspace_out_out_Tensor_start_Scalar_end_Scalar_steps_int64_t <- function(out, start, end, steps, base) {
     .Call(`_torch_cpp_torch_namespace_logspace_out_out_Tensor_start_Scalar_end_Scalar_steps_int64_t`, out, start, end, steps, base)
 }
 
+cpp_torch_namespace_logspace_out_out_Tensor_start_Tensor_end_Tensor_steps_int64_t <- function(out, start, end, steps, base) {
+    .Call(`_torch_cpp_torch_namespace_logspace_out_out_Tensor_start_Tensor_end_Tensor_steps_int64_t`, out, start, end, steps, base)
+}
+
+cpp_torch_namespace_logspace_out_out_Tensor_start_Tensor_end_Scalar_steps_int64_t <- function(out, start, end, steps, base) {
+    .Call(`_torch_cpp_torch_namespace_logspace_out_out_Tensor_start_Tensor_end_Scalar_steps_int64_t`, out, start, end, steps, base)
+}
+
+cpp_torch_namespace_logspace_out_out_Tensor_start_Scalar_end_Tensor_steps_int64_t <- function(out, start, end, steps, base) {
+    .Call(`_torch_cpp_torch_namespace_logspace_out_out_Tensor_start_Scalar_end_Tensor_steps_int64_t`, out, start, end, steps, base)
+}
+
 cpp_torch_namespace_log_softmax_self_Tensor_dim_int64_t <- function(self, dim, dtype) {
     .Call(`_torch_cpp_torch_namespace_log_softmax_self_Tensor_dim_int64_t`, self, dim, dtype)
 }
@@ -5765,6 +5981,10 @@ cpp_torch_namespace_quantized_max_pool2d_self_Tensor_kernel_size_IntArrayRef <-
     .Call(`_torch_cpp_torch_namespace_quantized_max_pool2d_self_Tensor_kernel_size_IntArrayRef`, self, kernel_size, stride, padding, dilation, ceil_mode)
 }
 
+cpp_torch_namespace_quantized_max_pool3d_self_Tensor_kernel_size_IntArrayRef <- function(self, kernel_size, stride, padding, dilation, ceil_mode) {
+    .Call(`_torch_cpp_torch_namespace_quantized_max_pool3d_self_Tensor_kernel_size_IntArrayRef`, self, kernel_size, stride, padding, dilation, ceil_mode)
+}
+
 cpp_torch_namespace_max_pool3d_self_Tensor_kernel_size_IntArrayRef <- function(self, kernel_size, stride, padding, dilation, ceil_mode) {
     .Call(`_torch_cpp_torch_namespace_max_pool3d_self_Tensor_kernel_size_IntArrayRef`, self, kernel_size, stride, padding, dilation, ceil_mode)
 }
@@ -5773,6 +5993,10 @@ cpp_torch_namespace_mean_self_Tensor <- function(self, dtype) {
     .Call(`_torch_cpp_torch_namespace_mean_self_Tensor`, self, dtype)
 }
 
+cpp_torch_namespace_mean_out_out_Tensor_self_Tensor <- function(out, self, dtype) {
+    .Call(`_torch_cpp_torch_namespace_mean_out_out_Tensor_self_Tensor`, out, self, dtype)
+}
+
 cpp_torch_namespace_mean_self_Tensor_dim_IntArrayRef <- function(self, dim, keepdim, dtype) {
     .Call(`_torch_cpp_torch_namespace_mean_self_Tensor_dim_IntArrayRef`, self, dim, keepdim, dtype)
 }
@@ -5925,6 +6149,26 @@ cpp_torch_namespace_mm_out_out_Tensor_self_Tensor_mat2_Tensor <- function(out, s
     .Call(`_torch_cpp_torch_namespace_mm_out_out_Tensor_self_Tensor_mat2_Tensor`, out, self, mat2)
 }
 
+cpp_torch_namespace__int_mm_self_Tensor_mat2_Tensor <- function(self, mat2) {
+    .Call(`_torch_cpp_torch_namespace__int_mm_self_Tensor_mat2_Tensor`, self, mat2)
+}
+
+cpp_torch_namespace__int_mm_out_out_Tensor_self_Tensor_mat2_Tensor <- function(out, self, mat2) {
+    .Call(`_torch_cpp_torch_namespace__int_mm_out_out_Tensor_self_Tensor_mat2_Tensor`, out, self, mat2)
+}
+
+cpp_torch_namespace__convert_weight_to_int4pack_self_Tensor_innerKTiles_int64_t <- function(self, innerKTiles) {
+    .Call(`_torch_cpp_torch_namespace__convert_weight_to_int4pack_self_Tensor_innerKTiles_int64_t`, self, innerKTiles)
+}
+
+cpp_torch_namespace__weight_int4pack_mm_self_Tensor_mat2_Tensor_qGroupSize_int64_t_qScaleAndZeros_Tensor <- function(self, mat2, qGroupSize, qScaleAndZeros) {
+    .Call(`_torch_cpp_torch_namespace__weight_int4pack_mm_self_Tensor_mat2_Tensor_qGroupSize_int64_t_qScaleAndZeros_Tensor`, self, mat2, qGroupSize, qScaleAndZeros)
+}
+
+cpp_torch_namespace__weight_int8pack_mm_self_Tensor_mat2_Tensor_scales_Tensor <- function(self, mat2, scales) {
+    .Call(`_torch_cpp_torch_namespace__weight_int8pack_mm_self_Tensor_mat2_Tensor_scales_Tensor`, self, mat2, scales)
+}
+
 cpp_torch_namespace__sparse_mm_sparse_Tensor_dense_Tensor <- function(sparse, dense) {
     .Call(`_torch_cpp_torch_namespace__sparse_mm_sparse_Tensor_dense_Tensor`, sparse, dense)
 }
@@ -6021,6 +6265,10 @@ cpp_torch_namespace__native_batch_norm_legit_input_Tensor_weight_Tensor_bias_Ten
     .Call(`_torch_cpp_torch_namespace__native_batch_norm_legit_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_training_bool_momentum_double_eps_double`, input, weight, bias, running_mean, running_var, training, momentum, eps)
 }
 
+cpp_torch_namespace__native_batch_norm_legit_no_training_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double <- function(input, weight, bias, running_mean, running_var, momentum, eps) {
+    .Call(`_torch_cpp_torch_namespace__native_batch_norm_legit_no_training_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double`, input, weight, bias, running_mean, running_var, momentum, eps)
+}
+
 cpp_torch_namespace__native_batch_norm_legit_out_out_Tensor_save_mean_Tensor_save_invstd_Tensor_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_training_bool_momentum_double_eps_double <- function(out, save_mean, save_invstd, input, weight, bias, running_mean, running_var, training, momentum, eps) {
     .Call(`_torch_cpp_torch_namespace__native_batch_norm_legit_out_out_Tensor_save_mean_Tensor_save_invstd_Tensor_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_training_bool_momentum_double_eps_double`, out, save_mean, save_invstd, input, weight, bias, running_mean, running_var, training, momentum, eps)
 }
@@ -6061,8 +6309,8 @@ cpp_torch_namespace_batch_norm_backward_reduce_grad_out_Tensor_input_Tensor_mean
     .Call(`_torch_cpp_torch_namespace_batch_norm_backward_reduce_grad_out_Tensor_input_Tensor_mean_Tensor_invstd_Tensor_weight_Tensor_input_g_bool_weight_g_bool_bias_g_bool`, grad_out, input, mean, invstd, weight, input_g, weight_g, bias_g)
 }
 
-cpp_torch_namespace_batch_norm_backward_elemt_grad_out_Tensor_input_Tensor_mean_Tensor_invstd_Tensor_weight_Tensor_mean_dy_Tensor_mean_dy_xmu_Tensor_count_Tensor <- function(grad_out, input, mean, invstd, weight, mean_dy, mean_dy_xmu, count) {
-    .Call(`_torch_cpp_torch_namespace_batch_norm_backward_elemt_grad_out_Tensor_input_Tensor_mean_Tensor_invstd_Tensor_weight_Tensor_mean_dy_Tensor_mean_dy_xmu_Tensor_count_Tensor`, grad_out, input, mean, invstd, weight, mean_dy, mean_dy_xmu, count)
+cpp_torch_namespace_batch_norm_backward_elemt_grad_out_Tensor_input_Tensor_mean_Tensor_invstd_Tensor_weight_Tensor_sum_dy_Tensor_sum_dy_xmu_Tensor_count_Tensor <- function(grad_out, input, mean, invstd, weight, sum_dy, sum_dy_xmu, count) {
+    .Call(`_torch_cpp_torch_namespace_batch_norm_backward_elemt_grad_out_Tensor_input_Tensor_mean_Tensor_invstd_Tensor_weight_Tensor_sum_dy_Tensor_sum_dy_xmu_Tensor_count_Tensor`, grad_out, input, mean, invstd, weight, sum_dy, sum_dy_xmu, count)
 }
 
 cpp_torch_namespace_batch_norm_update_stats_input_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double <- function(input, running_mean, running_var, momentum) {
@@ -6657,6 +6905,10 @@ cpp_torch_namespace_slice_backward_grad_output_Tensor_input_sizes_IntArrayRef_di
     .Call(`_torch_cpp_torch_namespace_slice_backward_grad_output_Tensor_input_sizes_IntArrayRef_dim_int64_t_start_int64_t_end_int64_t_step_int64_t`, grad_output, input_sizes, dim, start, end, step)
 }
 
+cpp_torch_namespace_slice_inverse_self_Tensor_src_Tensor <- function(self, src, dim, start, end, step) {
+    .Call(`_torch_cpp_torch_namespace_slice_inverse_self_Tensor_src_Tensor`, self, src, dim, start, end, step)
+}
+
 cpp_torch_namespace_slice_scatter_self_Tensor_src_Tensor <- function(self, src, dim, start, end, step) {
     .Call(`_torch_cpp_torch_namespace_slice_scatter_self_Tensor_src_Tensor`, self, src, dim, start, end, step)
 }
@@ -6773,6 +7025,14 @@ cpp_torch_namespace_sspaddmm_out_out_Tensor_self_Tensor_mat1_Tensor_mat2_Tensor
     .Call(`_torch_cpp_torch_namespace_sspaddmm_out_out_Tensor_self_Tensor_mat1_Tensor_mat2_Tensor`, out, self, mat1, mat2, beta, alpha)
 }
 
+cpp_torch_namespace__chunk_cat_tensors_TensorList_dim_int64_t_num_chunks_int64_t <- function(tensors, dim, num_chunks) {
+    .Call(`_torch_cpp_torch_namespace__chunk_cat_tensors_TensorList_dim_int64_t_num_chunks_int64_t`, tensors, dim, num_chunks)
+}
+
+cpp_torch_namespace__chunk_cat_out_out_Tensor_tensors_TensorList_dim_int64_t_num_chunks_int64_t <- function(out, tensors, dim, num_chunks) {
+    .Call(`_torch_cpp_torch_namespace__chunk_cat_out_out_Tensor_tensors_TensorList_dim_int64_t_num_chunks_int64_t`, out, tensors, dim, num_chunks)
+}
+
 cpp_torch_namespace_stack_tensors_TensorList <- function(tensors, dim) {
     .Call(`_torch_cpp_torch_namespace_stack_tensors_TensorList`, tensors, dim)
 }
@@ -7073,12 +7333,56 @@ cpp_torch_namespace__nested_from_padded_and_nested_example_padded_Tensor_nt_exam
     .Call(`_torch_cpp_torch_namespace__nested_from_padded_and_nested_example_padded_Tensor_nt_example_Tensor`, padded, nt_example)
 }
 
-cpp_torch_namespace__nested_view_from_buffer_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_IntArrayRef <- function(self, nested_size, nested_strides, offsets) {
-    .Call(`_torch_cpp_torch_namespace__nested_view_from_buffer_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_IntArrayRef`, self, nested_size, nested_strides, offsets)
+cpp_torch_namespace__nested_view_from_buffer_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_Tensor <- function(self, nested_size, nested_strides, offsets) {
+    .Call(`_torch_cpp_torch_namespace__nested_view_from_buffer_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_Tensor`, self, nested_size, nested_strides, offsets)
+}
+
+cpp_torch_namespace__nested_view_from_buffer_copy_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_Tensor <- function(self, nested_size, nested_strides, offsets) {
+    .Call(`_torch_cpp_torch_namespace__nested_view_from_buffer_copy_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_Tensor`, self, nested_size, nested_strides, offsets)
+}
+
+cpp_torch_namespace__nested_view_from_jagged_self_Tensor_offsets_Tensor_dummy_Tensor <- function(self, offsets, dummy, lengths, ragged_idx, min_seqlen, max_seqlen) {
+    .Call(`_torch_cpp_torch_namespace__nested_view_from_jagged_self_Tensor_offsets_Tensor_dummy_Tensor`, self, offsets, dummy, lengths, ragged_idx, min_seqlen, max_seqlen)
+}
+
+cpp_torch_namespace__nested_view_from_jagged_copy_self_Tensor_offsets_Tensor_dummy_Tensor <- function(self, offsets, dummy, lengths, ragged_idx, min_seqlen, max_seqlen) {
+    .Call(`_torch_cpp_torch_namespace__nested_view_from_jagged_copy_self_Tensor_offsets_Tensor_dummy_Tensor`, self, offsets, dummy, lengths, ragged_idx, min_seqlen, max_seqlen)
+}
+
+cpp_torch_namespace__nested_get_values_self_Tensor <- function(self) {
+    .Call(`_torch_cpp_torch_namespace__nested_get_values_self_Tensor`, self)
 }
 
-cpp_torch_namespace__nested_view_from_buffer_copy_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_IntArrayRef <- function(self, nested_size, nested_strides, offsets) {
-    .Call(`_torch_cpp_torch_namespace__nested_view_from_buffer_copy_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_IntArrayRef`, self, nested_size, nested_strides, offsets)
+cpp_torch_namespace__nested_get_values_copy_self_Tensor <- function(self) {
+    .Call(`_torch_cpp_torch_namespace__nested_get_values_copy_self_Tensor`, self)
+}
+
+cpp_torch_namespace__nested_get_offsets_self_Tensor <- function(self) {
+    .Call(`_torch_cpp_torch_namespace__nested_get_offsets_self_Tensor`, self)
+}
+
+cpp_torch_namespace__nested_get_lengths_self_Tensor <- function(self) {
+    .Call(`_torch_cpp_torch_namespace__nested_get_lengths_self_Tensor`, self)
+}
+
+cpp_torch_namespace__nested_get_ragged_idx_self_Tensor <- function(self) {
+    .Call(`_torch_cpp_torch_namespace__nested_get_ragged_idx_self_Tensor`, self)
+}
+
+cpp_torch_namespace__nested_get_min_seqlen_self_Tensor <- function(self) {
+    .Call(`_torch_cpp_torch_namespace__nested_get_min_seqlen_self_Tensor`, self)
+}
+
+cpp_torch_namespace__nested_get_max_seqlen_self_Tensor <- function(self) {
+    .Call(`_torch_cpp_torch_namespace__nested_get_max_seqlen_self_Tensor`, self)
+}
+
+cpp_torch_namespace__nested_get_jagged_dummy_any_Tensor <- function(any) {
+    .Call(`_torch_cpp_torch_namespace__nested_get_jagged_dummy_any_Tensor`, any)
+}
+
+cpp_torch_namespace__nested_compute_contiguous_strides_offsets_nested_size_Tensor <- function(nested_size) {
+    .Call(`_torch_cpp_torch_namespace__nested_compute_contiguous_strides_offsets_nested_size_Tensor`, nested_size)
 }
 
 cpp_torch_namespace__trilinear_i1_Tensor_i2_Tensor_i3_Tensor_expand1_IntArrayRef_expand2_IntArrayRef_expand3_IntArrayRef_sumdim_IntArrayRef <- function(i1, i2, i3, expand1, expand2, expand3, sumdim, unroll_dim) {
@@ -7277,6 +7581,22 @@ cpp_torch_namespace_native_norm_self_Tensor_p_Scalar_dim_IntArrayRef_keepdim_boo
     .Call(`_torch_cpp_torch_namespace_native_norm_self_Tensor_p_Scalar_dim_IntArrayRef_keepdim_bool_dtype_ScalarType`, self, p, dim, keepdim, dtype)
 }
 
+cpp_torch_namespace__batch_norm_with_update_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double <- function(input, weight, bias, running_mean, running_var, momentum, eps) {
+    .Call(`_torch_cpp_torch_namespace__batch_norm_with_update_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double`, input, weight, bias, running_mean, running_var, momentum, eps)
+}
+
+cpp_torch_namespace__batch_norm_with_update_out_out_Tensor_save_mean_Tensor_save_invstd_Tensor_reserve_Tensor_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double <- function(out, save_mean, save_invstd, reserve, input, weight, bias, running_mean, running_var, momentum, eps) {
+    .Call(`_torch_cpp_torch_namespace__batch_norm_with_update_out_out_Tensor_save_mean_Tensor_save_invstd_Tensor_reserve_Tensor_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double`, out, save_mean, save_invstd, reserve, input, weight, bias, running_mean, running_var, momentum, eps)
+}
+
+cpp_torch_namespace__batch_norm_no_update_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double <- function(input, weight, bias, running_mean, running_var, momentum, eps) {
+    .Call(`_torch_cpp_torch_namespace__batch_norm_no_update_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double`, input, weight, bias, running_mean, running_var, momentum, eps)
+}
+
+cpp_torch_namespace_batch_norm_backward_grad_out_Tensor_input_Tensor_weight_Tensor_running_mean_Tensor_running_var_Tensor_save_mean_Tensor_save_var_Tensor_update_bool_eps_double_output_mask_stdarraybool3_reserve_Tensor <- function(grad_out, input, weight, running_mean, running_var, save_mean, save_var, update, eps, output_mask, reserve) {
+    .Call(`_torch_cpp_torch_namespace_batch_norm_backward_grad_out_Tensor_input_Tensor_weight_Tensor_running_mean_Tensor_running_var_Tensor_save_mean_Tensor_save_var_Tensor_update_bool_eps_double_output_mask_stdarraybool3_reserve_Tensor`, grad_out, input, weight, running_mean, running_var, save_mean, save_var, update, eps, output_mask, reserve)
+}
+
 cpp_torch_namespace__sparse_sum_self_Tensor <- function(self) {
     .Call(`_torch_cpp_torch_namespace__sparse_sum_self_Tensor`, self)
 }
@@ -7509,6 +7829,18 @@ cpp_torch_namespace__addmm_activation_self_Tensor_mat1_Tensor_mat2_Tensor <- fun
     .Call(`_torch_cpp_torch_namespace__addmm_activation_self_Tensor_mat1_Tensor_mat2_Tensor`, self, mat1, mat2, beta, alpha, use_gelu)
 }
 
+cpp_torch_namespace__scaled_mm_self_Tensor_mat2_Tensor_scale_a_Tensor_scale_b_Tensor <- function(self, mat2, scale_a, scale_b, bias, scale_result, out_dtype, use_fast_accum) {
+    .Call(`_torch_cpp_torch_namespace__scaled_mm_self_Tensor_mat2_Tensor_scale_a_Tensor_scale_b_Tensor`, self, mat2, scale_a, scale_b, bias, scale_result, out_dtype, use_fast_accum)
+}
+
+cpp_torch_namespace__scaled_mm_out_out_Tensor_self_Tensor_mat2_Tensor_scale_a_Tensor_scale_b_Tensor <- function(out, self, mat2, scale_a, scale_b, bias, scale_result, out_dtype, use_fast_accum) {
+    .Call(`_torch_cpp_torch_namespace__scaled_mm_out_out_Tensor_self_Tensor_mat2_Tensor_scale_a_Tensor_scale_b_Tensor`, out, self, mat2, scale_a, scale_b, bias, scale_result, out_dtype, use_fast_accum)
+}
+
+cpp_torch_namespace__sparse_compressed_tensor_with_dims_nnz_int64_t_dense_dim_int64_t_size_IntArrayRef_blocksize_IntArrayRef_index_dtype_ScalarType_options_TensorOptions <- function(nnz, dense_dim, size, blocksize, index_dtype, options) {
+    .Call(`_torch_cpp_torch_namespace__sparse_compressed_tensor_with_dims_nnz_int64_t_dense_dim_int64_t_size_IntArrayRef_blocksize_IntArrayRef_index_dtype_ScalarType_options_TensorOptions`, nnz, dense_dim, size, blocksize, index_dtype, options)
+}
+
 cpp_torch_namespace_sparse_compressed_tensor_compressed_indices_Tensor_plain_indices_Tensor_values_Tensor_size_IntArrayRef_options_TensorOptions <- function(compressed_indices, plain_indices, values, size, options) {
     .Call(`_torch_cpp_torch_namespace_sparse_compressed_tensor_compressed_indices_Tensor_plain_indices_Tensor_values_Tensor_size_IntArrayRef_options_TensorOptions`, compressed_indices, plain_indices, values, size, options)
 }
@@ -7573,20 +7905,20 @@ cpp_torch_namespace_sparse_coo_tensor_size_IntArrayRef_options_TensorOptions <-
     .Call(`_torch_cpp_torch_namespace_sparse_coo_tensor_size_IntArrayRef_options_TensorOptions`, size, options)
 }
 
-cpp_torch_namespace_sparse_coo_tensor_indices_Tensor_values_Tensor_options_TensorOptions <- function(indices, values, options) {
-    .Call(`_torch_cpp_torch_namespace_sparse_coo_tensor_indices_Tensor_values_Tensor_options_TensorOptions`, indices, values, options)
+cpp_torch_namespace_sparse_coo_tensor_indices_Tensor_values_Tensor_options_TensorOptions <- function(indices, values, options, is_coalesced) {
+    .Call(`_torch_cpp_torch_namespace_sparse_coo_tensor_indices_Tensor_values_Tensor_options_TensorOptions`, indices, values, options, is_coalesced)
 }
 
-cpp_torch_namespace_sparse_coo_tensor_indices_Tensor_values_Tensor_size_IntArrayRef_options_TensorOptions <- function(indices, values, size, options) {
-    .Call(`_torch_cpp_torch_namespace_sparse_coo_tensor_indices_Tensor_values_Tensor_size_IntArrayRef_options_TensorOptions`, indices, values, size, options)
+cpp_torch_namespace_sparse_coo_tensor_indices_Tensor_values_Tensor_size_IntArrayRef_options_TensorOptions <- function(indices, values, size, options, is_coalesced) {
+    .Call(`_torch_cpp_torch_namespace_sparse_coo_tensor_indices_Tensor_values_Tensor_size_IntArrayRef_options_TensorOptions`, indices, values, size, options, is_coalesced)
 }
 
-cpp_torch_namespace__sparse_coo_tensor_unsafe_indices_Tensor_values_Tensor_size_IntArrayRef <- function(indices, values, size, options) {
-    .Call(`_torch_cpp_torch_namespace__sparse_coo_tensor_unsafe_indices_Tensor_values_Tensor_size_IntArrayRef`, indices, values, size, options)
+cpp_torch_namespace__sparse_coo_tensor_unsafe_indices_Tensor_values_Tensor_size_IntArrayRef <- function(indices, values, size, options, is_coalesced) {
+    .Call(`_torch_cpp_torch_namespace__sparse_coo_tensor_unsafe_indices_Tensor_values_Tensor_size_IntArrayRef`, indices, values, size, options, is_coalesced)
 }
 
-cpp_torch_namespace__validate_sparse_coo_tensor_args_indices_Tensor_values_Tensor_size_IntArrayRef <- function(indices, values, size) {
-    invisible(.Call(`_torch_cpp_torch_namespace__validate_sparse_coo_tensor_args_indices_Tensor_values_Tensor_size_IntArrayRef`, indices, values, size))
+cpp_torch_namespace__validate_sparse_coo_tensor_args_indices_Tensor_values_Tensor_size_IntArrayRef <- function(indices, values, size, is_coalesced) {
+    invisible(.Call(`_torch_cpp_torch_namespace__validate_sparse_coo_tensor_args_indices_Tensor_values_Tensor_size_IntArrayRef`, indices, values, size, is_coalesced))
 }
 
 cpp_torch_namespace__validate_sparse_compressed_tensor_args_compressed_indices_Tensor_plain_indices_Tensor_values_Tensor_size_IntArrayRef_layout_Layout <- function(compressed_indices, plain_indices, values, size, layout) {
@@ -7613,16 +7945,16 @@ cpp_torch_namespace__sparse_coo_tensor_with_dims_sparse_dim_int64_t_dense_dim_in
     .Call(`_torch_cpp_torch_namespace__sparse_coo_tensor_with_dims_sparse_dim_int64_t_dense_dim_int64_t_size_IntArrayRef_options_TensorOptions`, sparse_dim, dense_dim, size, options)
 }
 
-cpp_torch_namespace__sparse_coo_tensor_with_dims_and_tensors_sparse_dim_int64_t_dense_dim_int64_t_size_IntArrayRef_indices_Tensor_values_Tensor_options_TensorOptions <- function(sparse_dim, dense_dim, size, indices, values, options) {
-    .Call(`_torch_cpp_torch_namespace__sparse_coo_tensor_with_dims_and_tensors_sparse_dim_int64_t_dense_dim_int64_t_size_IntArrayRef_indices_Tensor_values_Tensor_options_TensorOptions`, sparse_dim, dense_dim, size, indices, values, options)
+cpp_torch_namespace__sparse_coo_tensor_with_dims_and_tensors_sparse_dim_int64_t_dense_dim_int64_t_size_IntArrayRef_indices_Tensor_values_Tensor_options_TensorOptions <- function(sparse_dim, dense_dim, size, indices, values, options, is_coalesced) {
+    .Call(`_torch_cpp_torch_namespace__sparse_coo_tensor_with_dims_and_tensors_sparse_dim_int64_t_dense_dim_int64_t_size_IntArrayRef_indices_Tensor_values_Tensor_options_TensorOptions`, sparse_dim, dense_dim, size, indices, values, options, is_coalesced)
 }
 
 cpp_torch_namespace__to_cpu_tensors_TensorList <- function(tensors) {
     .Call(`_torch_cpp_torch_namespace__to_cpu_tensors_TensorList`, tensors)
 }
 
-cpp_torch_namespace_to_dense_backward_grad_Tensor_input_Tensor <- function(grad, input) {
-    .Call(`_torch_cpp_torch_namespace_to_dense_backward_grad_Tensor_input_Tensor`, grad, input)
+cpp_torch_namespace_to_dense_backward_grad_Tensor_input_Tensor <- function(grad, input, masked_grad) {
+    .Call(`_torch_cpp_torch_namespace_to_dense_backward_grad_Tensor_input_Tensor`, grad, input, masked_grad)
 }
 
 cpp_torch_namespace__coalesce_self_Tensor <- function(self) {
@@ -7649,12 +7981,16 @@ cpp_torch_namespace_unbind_self_Tensor_dim_Dimname <- function(self, dim) {
     .Call(`_torch_cpp_torch_namespace_unbind_self_Tensor_dim_Dimname`, self, dim)
 }
 
+cpp_torch_namespace__to_sparse_semi_structured_dense_Tensor <- function(dense) {
+    .Call(`_torch_cpp_torch_namespace__to_sparse_semi_structured_dense_Tensor`, dense)
+}
+
 cpp_torch_namespace_mkldnn_reorder_conv2d_weight_self_Tensor <- function(self, padding, stride, dilation, groups, input_size) {
     .Call(`_torch_cpp_torch_namespace_mkldnn_reorder_conv2d_weight_self_Tensor`, self, padding, stride, dilation, groups, input_size)
 }
 
-cpp_torch_namespace_mkldnn_reorder_conv3d_weight_self_Tensor <- function(self, padding, stride, dilation, groups) {
-    .Call(`_torch_cpp_torch_namespace_mkldnn_reorder_conv3d_weight_self_Tensor`, self, padding, stride, dilation, groups)
+cpp_torch_namespace_mkldnn_reorder_conv3d_weight_self_Tensor <- function(self, padding, stride, dilation, groups, input_size) {
+    .Call(`_torch_cpp_torch_namespace_mkldnn_reorder_conv3d_weight_self_Tensor`, self, padding, stride, dilation, groups, input_size)
 }
 
 cpp_torch_namespace_to_mkldnn_backward_grad_Tensor_input_Tensor <- function(grad, input) {
@@ -7825,8 +8161,8 @@ cpp_torch_namespace_result_type_scalar1_Scalar_scalar2_Scalar <- function(scalar
     .Call(`_torch_cpp_torch_namespace_result_type_scalar1_Scalar_scalar2_Scalar`, scalar1, scalar2)
 }
 
-cpp_torch_namespace_can_cast_from_ScalarType_to_ScalarType <- function(from, to) {
-    .Call(`_torch_cpp_torch_namespace_can_cast_from_ScalarType_to_ScalarType`, from, to)
+cpp_torch_namespace_can_cast_from__ScalarType_to_ScalarType <- function(from_, to) {
+    .Call(`_torch_cpp_torch_namespace_can_cast_from__ScalarType_to_ScalarType`, from_, to)
 }
 
 cpp_torch_namespace_promote_types_type1_ScalarType_type2_ScalarType <- function(type1, type2) {
@@ -7973,6 +8309,10 @@ cpp_torch_namespace_masked_scatter_self_Tensor_mask_Tensor_source_Tensor <- func
     .Call(`_torch_cpp_torch_namespace_masked_scatter_self_Tensor_mask_Tensor_source_Tensor`, self, mask, source)
 }
 
+cpp_torch_namespace_masked_scatter_backward_grad_output_Tensor_mask_Tensor_sizes_IntArrayRef <- function(grad_output, mask, sizes) {
+    .Call(`_torch_cpp_torch_namespace_masked_scatter_backward_grad_output_Tensor_mask_Tensor_sizes_IntArrayRef`, grad_output, mask, sizes)
+}
+
 cpp_torch_namespace__masked_softmax_self_Tensor_mask_Tensor <- function(self, mask, dim, mask_type) {
     .Call(`_torch_cpp_torch_namespace__masked_softmax_self_Tensor_mask_Tensor`, self, mask, dim, mask_type)
 }
@@ -8509,6 +8849,14 @@ cpp_torch_namespace_nonzero_self_Tensor <- function(self) {
     .Call(`_torch_cpp_torch_namespace_nonzero_self_Tensor`, self)
 }
 
+cpp_torch_namespace_nonzero_static_out_out_Tensor_self_Tensor_size_int64_t <- function(out, self, size, fill_value) {
+    .Call(`_torch_cpp_torch_namespace_nonzero_static_out_out_Tensor_self_Tensor_size_int64_t`, out, self, size, fill_value)
+}
+
+cpp_torch_namespace_nonzero_static_self_Tensor_size_int64_t <- function(self, size, fill_value) {
+    .Call(`_torch_cpp_torch_namespace_nonzero_static_self_Tensor_size_int64_t`, self, size, fill_value)
+}
+
 cpp_torch_namespace_nonzero_numpy_self_Tensor <- function(self) {
     .Call(`_torch_cpp_torch_namespace_nonzero_numpy_self_Tensor`, self)
 }
@@ -8901,6 +9249,10 @@ cpp_torch_namespace_min_self_Tensor <- function(self) {
     .Call(`_torch_cpp_torch_namespace_min_self_Tensor`, self)
 }
 
+cpp_torch_namespace_min_out_out_Tensor_self_Tensor <- function(out, self) {
+    .Call(`_torch_cpp_torch_namespace_min_out_out_Tensor_self_Tensor`, out, self)
+}
+
 cpp_torch_namespace_fmin_self_Tensor_other_Tensor <- function(self, other) {
     .Call(`_torch_cpp_torch_namespace_fmin_self_Tensor_other_Tensor`, self, other)
 }
@@ -9037,6 +9389,10 @@ cpp_torch_namespace_argsort_self_Tensor_stable_bool_dim_int64_t <- function(self
     .Call(`_torch_cpp_torch_namespace_argsort_self_Tensor_stable_bool_dim_int64_t`, self, stable, dim, descending)
 }
 
+cpp_torch_namespace_argsort_out_out_Tensor_self_Tensor_stable_bool <- function(out, self, stable, dim, descending) {
+    .Call(`_torch_cpp_torch_namespace_argsort_out_out_Tensor_self_Tensor_stable_bool`, out, self, stable, dim, descending)
+}
+
 cpp_torch_namespace_argsort_self_Tensor_dim_Dimname <- function(self, dim, descending) {
     .Call(`_torch_cpp_torch_namespace_argsort_self_Tensor_dim_Dimname`, self, dim, descending)
 }
@@ -9169,156 +9525,156 @@ cpp_torch_namespace__foreach_add__self_TensorList_scalar_Scalar <- function(self
     invisible(.Call(`_torch_cpp_torch_namespace__foreach_add__self_TensorList_scalar_Scalar`, self, scalar))
 }
 
-cpp_torch_namespace__foreach_sub_self_TensorList_scalar_Scalar <- function(self, scalar) {
-    .Call(`_torch_cpp_torch_namespace__foreach_sub_self_TensorList_scalar_Scalar`, self, scalar)
+cpp_torch_namespace__foreach_add_self_TensorList_other_TensorList <- function(self, other, alpha) {
+    .Call(`_torch_cpp_torch_namespace__foreach_add_self_TensorList_other_TensorList`, self, other, alpha)
 }
 
-cpp_torch_namespace__foreach_sub__self_TensorList_scalar_Scalar <- function(self, scalar) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_sub__self_TensorList_scalar_Scalar`, self, scalar))
+cpp_torch_namespace__foreach_add__self_TensorList_other_TensorList <- function(self, other, alpha) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_add__self_TensorList_other_TensorList`, self, other, alpha))
 }
 
-cpp_torch_namespace__foreach_mul_self_TensorList_scalar_Scalar <- function(self, scalar) {
-    .Call(`_torch_cpp_torch_namespace__foreach_mul_self_TensorList_scalar_Scalar`, self, scalar)
+cpp_torch_namespace__foreach_add_self_TensorList_scalars_ArrayRefScalar <- function(self, scalars) {
+    .Call(`_torch_cpp_torch_namespace__foreach_add_self_TensorList_scalars_ArrayRefScalar`, self, scalars)
 }
 
-cpp_torch_namespace__foreach_mul__self_TensorList_scalar_Scalar <- function(self, scalar) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_mul__self_TensorList_scalar_Scalar`, self, scalar))
+cpp_torch_namespace__foreach_add__self_TensorList_scalars_ArrayRefScalar <- function(self, scalars) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_add__self_TensorList_scalars_ArrayRefScalar`, self, scalars))
 }
 
-cpp_torch_namespace__foreach_div_self_TensorList_scalar_Scalar <- function(self, scalar) {
-    .Call(`_torch_cpp_torch_namespace__foreach_div_self_TensorList_scalar_Scalar`, self, scalar)
+cpp_torch_namespace__foreach_add_self_TensorList_other_Tensor <- function(self, other, alpha) {
+    .Call(`_torch_cpp_torch_namespace__foreach_add_self_TensorList_other_Tensor`, self, other, alpha)
 }
 
-cpp_torch_namespace__foreach_div__self_TensorList_scalar_Scalar <- function(self, scalar) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_div__self_TensorList_scalar_Scalar`, self, scalar))
+cpp_torch_namespace__foreach_add__self_TensorList_other_Tensor <- function(self, other, alpha) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_add__self_TensorList_other_Tensor`, self, other, alpha))
 }
 
-cpp_torch_namespace__foreach_clamp_min_self_TensorList_scalar_Scalar <- function(self, scalar) {
-    .Call(`_torch_cpp_torch_namespace__foreach_clamp_min_self_TensorList_scalar_Scalar`, self, scalar)
+cpp_torch_namespace__foreach_sub_self_TensorList_scalar_Scalar <- function(self, scalar) {
+    .Call(`_torch_cpp_torch_namespace__foreach_sub_self_TensorList_scalar_Scalar`, self, scalar)
 }
 
-cpp_torch_namespace__foreach_clamp_min__self_TensorList_scalar_Scalar <- function(self, scalar) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_clamp_min__self_TensorList_scalar_Scalar`, self, scalar))
+cpp_torch_namespace__foreach_sub__self_TensorList_scalar_Scalar <- function(self, scalar) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_sub__self_TensorList_scalar_Scalar`, self, scalar))
 }
 
-cpp_torch_namespace__foreach_clamp_max_self_TensorList_scalar_Scalar <- function(self, scalar) {
-    .Call(`_torch_cpp_torch_namespace__foreach_clamp_max_self_TensorList_scalar_Scalar`, self, scalar)
+cpp_torch_namespace__foreach_sub_self_TensorList_other_TensorList <- function(self, other, alpha) {
+    .Call(`_torch_cpp_torch_namespace__foreach_sub_self_TensorList_other_TensorList`, self, other, alpha)
 }
 
-cpp_torch_namespace__foreach_clamp_max__self_TensorList_scalar_Scalar <- function(self, scalar) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_clamp_max__self_TensorList_scalar_Scalar`, self, scalar))
+cpp_torch_namespace__foreach_sub__self_TensorList_other_TensorList <- function(self, other, alpha) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_sub__self_TensorList_other_TensorList`, self, other, alpha))
 }
 
-cpp_torch_namespace__foreach_maximum_self_TensorList_scalar_Scalar <- function(self, scalar) {
-    .Call(`_torch_cpp_torch_namespace__foreach_maximum_self_TensorList_scalar_Scalar`, self, scalar)
+cpp_torch_namespace__foreach_sub_self_TensorList_scalars_ArrayRefScalar <- function(self, scalars) {
+    .Call(`_torch_cpp_torch_namespace__foreach_sub_self_TensorList_scalars_ArrayRefScalar`, self, scalars)
 }
 
-cpp_torch_namespace__foreach_maximum__self_TensorList_scalar_Scalar <- function(self, scalar) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_maximum__self_TensorList_scalar_Scalar`, self, scalar))
+cpp_torch_namespace__foreach_sub__self_TensorList_scalars_ArrayRefScalar <- function(self, scalars) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_sub__self_TensorList_scalars_ArrayRefScalar`, self, scalars))
 }
 
-cpp_torch_namespace__foreach_minimum_self_TensorList_scalar_Scalar <- function(self, scalar) {
-    .Call(`_torch_cpp_torch_namespace__foreach_minimum_self_TensorList_scalar_Scalar`, self, scalar)
+cpp_torch_namespace__foreach_mul_self_TensorList_scalar_Scalar <- function(self, scalar) {
+    .Call(`_torch_cpp_torch_namespace__foreach_mul_self_TensorList_scalar_Scalar`, self, scalar)
 }
 
-cpp_torch_namespace__foreach_minimum__self_TensorList_scalar_Scalar <- function(self, scalar) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_minimum__self_TensorList_scalar_Scalar`, self, scalar))
+cpp_torch_namespace__foreach_mul__self_TensorList_scalar_Scalar <- function(self, scalar) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_mul__self_TensorList_scalar_Scalar`, self, scalar))
 }
 
-cpp_torch_namespace__foreach_add_self_TensorList_other_TensorList <- function(self, other, alpha) {
-    .Call(`_torch_cpp_torch_namespace__foreach_add_self_TensorList_other_TensorList`, self, other, alpha)
+cpp_torch_namespace__foreach_mul_self_TensorList_other_TensorList <- function(self, other) {
+    .Call(`_torch_cpp_torch_namespace__foreach_mul_self_TensorList_other_TensorList`, self, other)
 }
 
-cpp_torch_namespace__foreach_add__self_TensorList_other_TensorList <- function(self, other, alpha) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_add__self_TensorList_other_TensorList`, self, other, alpha))
+cpp_torch_namespace__foreach_mul__self_TensorList_other_TensorList <- function(self, other) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_mul__self_TensorList_other_TensorList`, self, other))
 }
 
-cpp_torch_namespace__foreach_sub_self_TensorList_other_TensorList <- function(self, other, alpha) {
-    .Call(`_torch_cpp_torch_namespace__foreach_sub_self_TensorList_other_TensorList`, self, other, alpha)
+cpp_torch_namespace__foreach_mul_self_TensorList_scalars_ArrayRefScalar <- function(self, scalars) {
+    .Call(`_torch_cpp_torch_namespace__foreach_mul_self_TensorList_scalars_ArrayRefScalar`, self, scalars)
 }
 
-cpp_torch_namespace__foreach_sub__self_TensorList_other_TensorList <- function(self, other, alpha) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_sub__self_TensorList_other_TensorList`, self, other, alpha))
+cpp_torch_namespace__foreach_mul__self_TensorList_scalars_ArrayRefScalar <- function(self, scalars) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_mul__self_TensorList_scalars_ArrayRefScalar`, self, scalars))
 }
 
-cpp_torch_namespace__foreach_mul_self_TensorList_other_TensorList <- function(self, other) {
-    .Call(`_torch_cpp_torch_namespace__foreach_mul_self_TensorList_other_TensorList`, self, other)
+cpp_torch_namespace__foreach_mul_self_TensorList_other_Tensor <- function(self, other) {
+    .Call(`_torch_cpp_torch_namespace__foreach_mul_self_TensorList_other_Tensor`, self, other)
 }
 
-cpp_torch_namespace__foreach_mul__self_TensorList_other_TensorList <- function(self, other) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_mul__self_TensorList_other_TensorList`, self, other))
+cpp_torch_namespace__foreach_mul__self_TensorList_other_Tensor <- function(self, other) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_mul__self_TensorList_other_Tensor`, self, other))
 }
 
-cpp_torch_namespace__foreach_div_self_TensorList_other_TensorList <- function(self, other) {
-    .Call(`_torch_cpp_torch_namespace__foreach_div_self_TensorList_other_TensorList`, self, other)
+cpp_torch_namespace__foreach_div_self_TensorList_scalar_Scalar <- function(self, scalar) {
+    .Call(`_torch_cpp_torch_namespace__foreach_div_self_TensorList_scalar_Scalar`, self, scalar)
 }
 
-cpp_torch_namespace__foreach_div__self_TensorList_other_TensorList <- function(self, other) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_div__self_TensorList_other_TensorList`, self, other))
+cpp_torch_namespace__foreach_div__self_TensorList_scalar_Scalar <- function(self, scalar) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_div__self_TensorList_scalar_Scalar`, self, scalar))
 }
 
-cpp_torch_namespace__foreach_clamp_min_self_TensorList_other_TensorList <- function(self, other) {
-    .Call(`_torch_cpp_torch_namespace__foreach_clamp_min_self_TensorList_other_TensorList`, self, other)
+cpp_torch_namespace__foreach_div_self_TensorList_other_TensorList <- function(self, other) {
+    .Call(`_torch_cpp_torch_namespace__foreach_div_self_TensorList_other_TensorList`, self, other)
 }
 
-cpp_torch_namespace__foreach_clamp_min__self_TensorList_other_TensorList <- function(self, other) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_clamp_min__self_TensorList_other_TensorList`, self, other))
+cpp_torch_namespace__foreach_div__self_TensorList_other_TensorList <- function(self, other) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_div__self_TensorList_other_TensorList`, self, other))
 }
 
-cpp_torch_namespace__foreach_clamp_max_self_TensorList_other_TensorList <- function(self, other) {
-    .Call(`_torch_cpp_torch_namespace__foreach_clamp_max_self_TensorList_other_TensorList`, self, other)
+cpp_torch_namespace__foreach_div_self_TensorList_scalars_ArrayRefScalar <- function(self, scalars) {
+    .Call(`_torch_cpp_torch_namespace__foreach_div_self_TensorList_scalars_ArrayRefScalar`, self, scalars)
 }
 
-cpp_torch_namespace__foreach_clamp_max__self_TensorList_other_TensorList <- function(self, other) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_clamp_max__self_TensorList_other_TensorList`, self, other))
+cpp_torch_namespace__foreach_div__self_TensorList_scalars_ArrayRefScalar <- function(self, scalars) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_div__self_TensorList_scalars_ArrayRefScalar`, self, scalars))
 }
 
-cpp_torch_namespace__foreach_maximum_self_TensorList_other_TensorList <- function(self, other) {
-    .Call(`_torch_cpp_torch_namespace__foreach_maximum_self_TensorList_other_TensorList`, self, other)
+cpp_torch_namespace__foreach_div_self_TensorList_other_Tensor <- function(self, other) {
+    .Call(`_torch_cpp_torch_namespace__foreach_div_self_TensorList_other_Tensor`, self, other)
 }
 
-cpp_torch_namespace__foreach_maximum__self_TensorList_other_TensorList <- function(self, other) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_maximum__self_TensorList_other_TensorList`, self, other))
+cpp_torch_namespace__foreach_div__self_TensorList_other_Tensor <- function(self, other) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_div__self_TensorList_other_Tensor`, self, other))
 }
 
-cpp_torch_namespace__foreach_minimum_self_TensorList_other_TensorList <- function(self, other) {
-    .Call(`_torch_cpp_torch_namespace__foreach_minimum_self_TensorList_other_TensorList`, self, other)
+cpp_torch_namespace__foreach_clamp_max_self_TensorList_scalar_Scalar <- function(self, scalar) {
+    .Call(`_torch_cpp_torch_namespace__foreach_clamp_max_self_TensorList_scalar_Scalar`, self, scalar)
 }
 
-cpp_torch_namespace__foreach_minimum__self_TensorList_other_TensorList <- function(self, other) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_minimum__self_TensorList_other_TensorList`, self, other))
+cpp_torch_namespace__foreach_clamp_max__self_TensorList_scalar_Scalar <- function(self, scalar) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_clamp_max__self_TensorList_scalar_Scalar`, self, scalar))
 }
 
-cpp_torch_namespace__foreach_add_self_TensorList_scalars_ArrayRefScalar <- function(self, scalars) {
-    .Call(`_torch_cpp_torch_namespace__foreach_add_self_TensorList_scalars_ArrayRefScalar`, self, scalars)
+cpp_torch_namespace__foreach_clamp_max_self_TensorList_other_TensorList <- function(self, other) {
+    .Call(`_torch_cpp_torch_namespace__foreach_clamp_max_self_TensorList_other_TensorList`, self, other)
 }
 
-cpp_torch_namespace__foreach_add__self_TensorList_scalars_ArrayRefScalar <- function(self, scalars) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_add__self_TensorList_scalars_ArrayRefScalar`, self, scalars))
+cpp_torch_namespace__foreach_clamp_max__self_TensorList_other_TensorList <- function(self, other) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_clamp_max__self_TensorList_other_TensorList`, self, other))
 }
 
-cpp_torch_namespace__foreach_sub_self_TensorList_scalars_ArrayRefScalar <- function(self, scalars) {
-    .Call(`_torch_cpp_torch_namespace__foreach_sub_self_TensorList_scalars_ArrayRefScalar`, self, scalars)
+cpp_torch_namespace__foreach_clamp_max_self_TensorList_scalars_ArrayRefScalar <- function(self, scalars) {
+    .Call(`_torch_cpp_torch_namespace__foreach_clamp_max_self_TensorList_scalars_ArrayRefScalar`, self, scalars)
 }
 
-cpp_torch_namespace__foreach_sub__self_TensorList_scalars_ArrayRefScalar <- function(self, scalars) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_sub__self_TensorList_scalars_ArrayRefScalar`, self, scalars))
+cpp_torch_namespace__foreach_clamp_max__self_TensorList_scalars_ArrayRefScalar <- function(self, scalars) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_clamp_max__self_TensorList_scalars_ArrayRefScalar`, self, scalars))
 }
 
-cpp_torch_namespace__foreach_div_self_TensorList_scalars_ArrayRefScalar <- function(self, scalars) {
-    .Call(`_torch_cpp_torch_namespace__foreach_div_self_TensorList_scalars_ArrayRefScalar`, self, scalars)
+cpp_torch_namespace__foreach_clamp_min_self_TensorList_scalar_Scalar <- function(self, scalar) {
+    .Call(`_torch_cpp_torch_namespace__foreach_clamp_min_self_TensorList_scalar_Scalar`, self, scalar)
 }
 
-cpp_torch_namespace__foreach_div__self_TensorList_scalars_ArrayRefScalar <- function(self, scalars) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_div__self_TensorList_scalars_ArrayRefScalar`, self, scalars))
+cpp_torch_namespace__foreach_clamp_min__self_TensorList_scalar_Scalar <- function(self, scalar) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_clamp_min__self_TensorList_scalar_Scalar`, self, scalar))
 }
 
-cpp_torch_namespace__foreach_mul_self_TensorList_scalars_ArrayRefScalar <- function(self, scalars) {
-    .Call(`_torch_cpp_torch_namespace__foreach_mul_self_TensorList_scalars_ArrayRefScalar`, self, scalars)
+cpp_torch_namespace__foreach_clamp_min_self_TensorList_other_TensorList <- function(self, other) {
+    .Call(`_torch_cpp_torch_namespace__foreach_clamp_min_self_TensorList_other_TensorList`, self, other)
 }
 
-cpp_torch_namespace__foreach_mul__self_TensorList_scalars_ArrayRefScalar <- function(self, scalars) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_mul__self_TensorList_scalars_ArrayRefScalar`, self, scalars))
+cpp_torch_namespace__foreach_clamp_min__self_TensorList_other_TensorList <- function(self, other) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_clamp_min__self_TensorList_other_TensorList`, self, other))
 }
 
 cpp_torch_namespace__foreach_clamp_min_self_TensorList_scalars_ArrayRefScalar <- function(self, scalars) {
@@ -9329,12 +9685,20 @@ cpp_torch_namespace__foreach_clamp_min__self_TensorList_scalars_ArrayRefScalar <
     invisible(.Call(`_torch_cpp_torch_namespace__foreach_clamp_min__self_TensorList_scalars_ArrayRefScalar`, self, scalars))
 }
 
-cpp_torch_namespace__foreach_clamp_max_self_TensorList_scalars_ArrayRefScalar <- function(self, scalars) {
-    .Call(`_torch_cpp_torch_namespace__foreach_clamp_max_self_TensorList_scalars_ArrayRefScalar`, self, scalars)
+cpp_torch_namespace__foreach_maximum_self_TensorList_scalar_Scalar <- function(self, scalar) {
+    .Call(`_torch_cpp_torch_namespace__foreach_maximum_self_TensorList_scalar_Scalar`, self, scalar)
 }
 
-cpp_torch_namespace__foreach_clamp_max__self_TensorList_scalars_ArrayRefScalar <- function(self, scalars) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_clamp_max__self_TensorList_scalars_ArrayRefScalar`, self, scalars))
+cpp_torch_namespace__foreach_maximum__self_TensorList_scalar_Scalar <- function(self, scalar) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_maximum__self_TensorList_scalar_Scalar`, self, scalar))
+}
+
+cpp_torch_namespace__foreach_maximum_self_TensorList_other_TensorList <- function(self, other) {
+    .Call(`_torch_cpp_torch_namespace__foreach_maximum_self_TensorList_other_TensorList`, self, other)
+}
+
+cpp_torch_namespace__foreach_maximum__self_TensorList_other_TensorList <- function(self, other) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_maximum__self_TensorList_other_TensorList`, self, other))
 }
 
 cpp_torch_namespace__foreach_maximum_self_TensorList_scalars_ArrayRefScalar <- function(self, scalars) {
@@ -9345,6 +9709,22 @@ cpp_torch_namespace__foreach_maximum__self_TensorList_scalars_ArrayRefScalar <-
     invisible(.Call(`_torch_cpp_torch_namespace__foreach_maximum__self_TensorList_scalars_ArrayRefScalar`, self, scalars))
 }
 
+cpp_torch_namespace__foreach_minimum_self_TensorList_scalar_Scalar <- function(self, scalar) {
+    .Call(`_torch_cpp_torch_namespace__foreach_minimum_self_TensorList_scalar_Scalar`, self, scalar)
+}
+
+cpp_torch_namespace__foreach_minimum__self_TensorList_scalar_Scalar <- function(self, scalar) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_minimum__self_TensorList_scalar_Scalar`, self, scalar))
+}
+
+cpp_torch_namespace__foreach_minimum_self_TensorList_other_TensorList <- function(self, other) {
+    .Call(`_torch_cpp_torch_namespace__foreach_minimum_self_TensorList_other_TensorList`, self, other)
+}
+
+cpp_torch_namespace__foreach_minimum__self_TensorList_other_TensorList <- function(self, other) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_minimum__self_TensorList_other_TensorList`, self, other))
+}
+
 cpp_torch_namespace__foreach_minimum_self_TensorList_scalars_ArrayRefScalar <- function(self, scalars) {
     .Call(`_torch_cpp_torch_namespace__foreach_minimum_self_TensorList_scalars_ArrayRefScalar`, self, scalars)
 }
@@ -9353,24 +9733,52 @@ cpp_torch_namespace__foreach_minimum__self_TensorList_scalars_ArrayRefScalar <-
     invisible(.Call(`_torch_cpp_torch_namespace__foreach_minimum__self_TensorList_scalars_ArrayRefScalar`, self, scalars))
 }
 
-cpp_torch_namespace__foreach_exp_self_TensorList <- function(self) {
-    .Call(`_torch_cpp_torch_namespace__foreach_exp_self_TensorList`, self)
+cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList <- function(self, tensor1, tensor2, value) {
+    .Call(`_torch_cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList`, self, tensor1, tensor2, value)
 }
 
-cpp_torch_namespace__foreach_zero__self_TensorList <- function(self) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_zero__self_TensorList`, self))
+cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar <- function(self, tensor1, tensor2, scalars) {
+    .Call(`_torch_cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar`, self, tensor1, tensor2, scalars)
 }
 
-cpp_torch_namespace__foreach_exp__self_TensorList <- function(self) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_exp__self_TensorList`, self))
+cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor <- function(self, tensor1, tensor2, scalars) {
+    .Call(`_torch_cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor`, self, tensor1, tensor2, scalars)
 }
 
-cpp_torch_namespace__foreach_sqrt_self_TensorList <- function(self) {
-    .Call(`_torch_cpp_torch_namespace__foreach_sqrt_self_TensorList`, self)
+cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList <- function(self, tensor1, tensor2, value) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList`, self, tensor1, tensor2, value))
 }
 
-cpp_torch_namespace__foreach_sqrt__self_TensorList <- function(self) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_sqrt__self_TensorList`, self))
+cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar <- function(self, tensor1, tensor2, scalars) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar`, self, tensor1, tensor2, scalars))
+}
+
+cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor <- function(self, tensor1, tensor2, scalars) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor`, self, tensor1, tensor2, scalars))
+}
+
+cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList <- function(self, tensor1, tensor2, value) {
+    .Call(`_torch_cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList`, self, tensor1, tensor2, value)
+}
+
+cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar <- function(self, tensor1, tensor2, scalars) {
+    .Call(`_torch_cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar`, self, tensor1, tensor2, scalars)
+}
+
+cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor <- function(self, tensor1, tensor2, scalars) {
+    .Call(`_torch_cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor`, self, tensor1, tensor2, scalars)
+}
+
+cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList <- function(self, tensor1, tensor2, value) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList`, self, tensor1, tensor2, value))
+}
+
+cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar <- function(self, tensor1, tensor2, scalars) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar`, self, tensor1, tensor2, scalars))
+}
+
+cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor <- function(self, tensor1, tensor2, scalars) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor`, self, tensor1, tensor2, scalars))
 }
 
 cpp_torch_namespace__foreach_abs_self_TensorList <- function(self) {
@@ -9445,6 +9853,14 @@ cpp_torch_namespace__foreach_erfc__self_TensorList <- function(self) {
     invisible(.Call(`_torch_cpp_torch_namespace__foreach_erfc__self_TensorList`, self))
 }
 
+cpp_torch_namespace__foreach_exp_self_TensorList <- function(self) {
+    .Call(`_torch_cpp_torch_namespace__foreach_exp_self_TensorList`, self)
+}
+
+cpp_torch_namespace__foreach_exp__self_TensorList <- function(self) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_exp__self_TensorList`, self))
+}
+
 cpp_torch_namespace__foreach_expm1_self_TensorList <- function(self) {
     .Call(`_torch_cpp_torch_namespace__foreach_expm1_self_TensorList`, self)
 }
@@ -9461,6 +9877,38 @@ cpp_torch_namespace__foreach_floor__self_TensorList <- function(self) {
     invisible(.Call(`_torch_cpp_torch_namespace__foreach_floor__self_TensorList`, self))
 }
 
+cpp_torch_namespace__foreach_frac_self_TensorList <- function(self) {
+    .Call(`_torch_cpp_torch_namespace__foreach_frac_self_TensorList`, self)
+}
+
+cpp_torch_namespace__foreach_frac__self_TensorList <- function(self) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_frac__self_TensorList`, self))
+}
+
+cpp_torch_namespace__foreach_lerp_self_TensorList_tensors1_TensorList_weights_TensorList <- function(self, tensors1, weights) {
+    .Call(`_torch_cpp_torch_namespace__foreach_lerp_self_TensorList_tensors1_TensorList_weights_TensorList`, self, tensors1, weights)
+}
+
+cpp_torch_namespace__foreach_lerp__self_TensorList_tensors1_TensorList_weights_TensorList <- function(self, tensors1, weights) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_lerp__self_TensorList_tensors1_TensorList_weights_TensorList`, self, tensors1, weights))
+}
+
+cpp_torch_namespace__foreach_lerp_self_TensorList_tensors1_TensorList_weight_Scalar <- function(self, tensors1, weight) {
+    .Call(`_torch_cpp_torch_namespace__foreach_lerp_self_TensorList_tensors1_TensorList_weight_Scalar`, self, tensors1, weight)
+}
+
+cpp_torch_namespace__foreach_lerp__self_TensorList_tensors1_TensorList_weight_Scalar <- function(self, tensors1, weight) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_lerp__self_TensorList_tensors1_TensorList_weight_Scalar`, self, tensors1, weight))
+}
+
+cpp_torch_namespace__foreach_lgamma_self_TensorList <- function(self) {
+    .Call(`_torch_cpp_torch_namespace__foreach_lgamma_self_TensorList`, self)
+}
+
+cpp_torch_namespace__foreach_lgamma__self_TensorList <- function(self) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_lgamma__self_TensorList`, self))
+}
+
 cpp_torch_namespace__foreach_log_self_TensorList <- function(self) {
     .Call(`_torch_cpp_torch_namespace__foreach_log_self_TensorList`, self)
 }
@@ -9493,6 +9941,10 @@ cpp_torch_namespace__foreach_log2__self_TensorList <- function(self) {
     invisible(.Call(`_torch_cpp_torch_namespace__foreach_log2__self_TensorList`, self))
 }
 
+cpp_torch_namespace__foreach_max_self_TensorList <- function(self) {
+    .Call(`_torch_cpp_torch_namespace__foreach_max_self_TensorList`, self)
+}
+
 cpp_torch_namespace__foreach_neg_self_TensorList <- function(self) {
     .Call(`_torch_cpp_torch_namespace__foreach_neg_self_TensorList`, self)
 }
@@ -9501,60 +9953,36 @@ cpp_torch_namespace__foreach_neg__self_TensorList <- function(self) {
     invisible(.Call(`_torch_cpp_torch_namespace__foreach_neg__self_TensorList`, self))
 }
 
-cpp_torch_namespace__foreach_tan_self_TensorList <- function(self) {
-    .Call(`_torch_cpp_torch_namespace__foreach_tan_self_TensorList`, self)
+cpp_torch_namespace__foreach_norm_self_TensorList <- function(self, ord, dtype) {
+    .Call(`_torch_cpp_torch_namespace__foreach_norm_self_TensorList`, self, ord, dtype)
 }
 
-cpp_torch_namespace__foreach_tan__self_TensorList <- function(self) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_tan__self_TensorList`, self))
+cpp_torch_namespace__foreach_pow_self_TensorList_exponent_TensorList <- function(self, exponent) {
+    .Call(`_torch_cpp_torch_namespace__foreach_pow_self_TensorList_exponent_TensorList`, self, exponent)
 }
 
-cpp_torch_namespace__foreach_tanh_self_TensorList <- function(self) {
-    .Call(`_torch_cpp_torch_namespace__foreach_tanh_self_TensorList`, self)
-}
-
-cpp_torch_namespace__foreach_tanh__self_TensorList <- function(self) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_tanh__self_TensorList`, self))
+cpp_torch_namespace__foreach_pow_self_TensorList_exponent_Scalar <- function(self, exponent) {
+    .Call(`_torch_cpp_torch_namespace__foreach_pow_self_TensorList_exponent_Scalar`, self, exponent)
 }
 
-cpp_torch_namespace__foreach_sin_self_TensorList <- function(self) {
-    .Call(`_torch_cpp_torch_namespace__foreach_sin_self_TensorList`, self)
-}
-
-cpp_torch_namespace__foreach_sin__self_TensorList <- function(self) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_sin__self_TensorList`, self))
-}
-
-cpp_torch_namespace__foreach_sinh_self_TensorList <- function(self) {
-    .Call(`_torch_cpp_torch_namespace__foreach_sinh_self_TensorList`, self)
-}
-
-cpp_torch_namespace__foreach_sinh__self_TensorList <- function(self) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_sinh__self_TensorList`, self))
-}
-
-cpp_torch_namespace__foreach_round_self_TensorList <- function(self) {
-    .Call(`_torch_cpp_torch_namespace__foreach_round_self_TensorList`, self)
-}
-
-cpp_torch_namespace__foreach_round__self_TensorList <- function(self) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_round__self_TensorList`, self))
+cpp_torch_namespace__foreach_pow_self_TensorList_exponent_ArrayRefScalar <- function(self, exponent) {
+    .Call(`_torch_cpp_torch_namespace__foreach_pow_self_TensorList_exponent_ArrayRefScalar`, self, exponent)
 }
 
-cpp_torch_namespace__foreach_lgamma_self_TensorList <- function(self) {
-    .Call(`_torch_cpp_torch_namespace__foreach_lgamma_self_TensorList`, self)
+cpp_torch_namespace__foreach_pow_self_Scalar_exponent_TensorList <- function(self, exponent) {
+    .Call(`_torch_cpp_torch_namespace__foreach_pow_self_Scalar_exponent_TensorList`, self, exponent)
 }
 
-cpp_torch_namespace__foreach_lgamma__self_TensorList <- function(self) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_lgamma__self_TensorList`, self))
+cpp_torch_namespace__foreach_pow__self_TensorList_exponent_TensorList <- function(self, exponent) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_pow__self_TensorList_exponent_TensorList`, self, exponent))
 }
 
-cpp_torch_namespace__foreach_frac_self_TensorList <- function(self) {
-    .Call(`_torch_cpp_torch_namespace__foreach_frac_self_TensorList`, self)
+cpp_torch_namespace__foreach_pow__self_TensorList_exponent_Scalar <- function(self, exponent) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_pow__self_TensorList_exponent_Scalar`, self, exponent))
 }
 
-cpp_torch_namespace__foreach_frac__self_TensorList <- function(self) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_frac__self_TensorList`, self))
+cpp_torch_namespace__foreach_pow__self_TensorList_exponent_ArrayRefScalar <- function(self, exponent) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_pow__self_TensorList_exponent_ArrayRefScalar`, self, exponent))
 }
 
 cpp_torch_namespace__foreach_reciprocal_self_TensorList <- function(self) {
@@ -9565,88 +9993,88 @@ cpp_torch_namespace__foreach_reciprocal__self_TensorList <- function(self) {
     invisible(.Call(`_torch_cpp_torch_namespace__foreach_reciprocal__self_TensorList`, self))
 }
 
-cpp_torch_namespace__foreach_sigmoid_self_TensorList <- function(self) {
-    .Call(`_torch_cpp_torch_namespace__foreach_sigmoid_self_TensorList`, self)
+cpp_torch_namespace__foreach_round_self_TensorList <- function(self) {
+    .Call(`_torch_cpp_torch_namespace__foreach_round_self_TensorList`, self)
 }
 
-cpp_torch_namespace__foreach_sigmoid__self_TensorList <- function(self) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_sigmoid__self_TensorList`, self))
+cpp_torch_namespace__foreach_round__self_TensorList <- function(self) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_round__self_TensorList`, self))
 }
 
-cpp_torch_namespace__foreach_trunc_self_TensorList <- function(self) {
-    .Call(`_torch_cpp_torch_namespace__foreach_trunc_self_TensorList`, self)
+cpp_torch_namespace__foreach_sigmoid_self_TensorList <- function(self) {
+    .Call(`_torch_cpp_torch_namespace__foreach_sigmoid_self_TensorList`, self)
 }
 
-cpp_torch_namespace__foreach_trunc__self_TensorList <- function(self) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_trunc__self_TensorList`, self))
+cpp_torch_namespace__foreach_sigmoid__self_TensorList <- function(self) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_sigmoid__self_TensorList`, self))
 }
 
-cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList <- function(self, tensor1, tensor2, value) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList`, self, tensor1, tensor2, value))
+cpp_torch_namespace__foreach_sign_self_TensorList <- function(self) {
+    .Call(`_torch_cpp_torch_namespace__foreach_sign_self_TensorList`, self)
 }
 
-cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList <- function(self, tensor1, tensor2, value) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList`, self, tensor1, tensor2, value))
+cpp_torch_namespace__foreach_sign__self_TensorList <- function(self) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_sign__self_TensorList`, self))
 }
 
-cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar <- function(self, tensor1, tensor2, scalars) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar`, self, tensor1, tensor2, scalars))
+cpp_torch_namespace__foreach_sin_self_TensorList <- function(self) {
+    .Call(`_torch_cpp_torch_namespace__foreach_sin_self_TensorList`, self)
 }
 
-cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor <- function(self, tensor1, tensor2, scalars) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor`, self, tensor1, tensor2, scalars))
+cpp_torch_namespace__foreach_sin__self_TensorList <- function(self) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_sin__self_TensorList`, self))
 }
 
-cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar <- function(self, tensor1, tensor2, scalars) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar`, self, tensor1, tensor2, scalars))
+cpp_torch_namespace__foreach_sinh_self_TensorList <- function(self) {
+    .Call(`_torch_cpp_torch_namespace__foreach_sinh_self_TensorList`, self)
 }
 
-cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor <- function(self, tensor1, tensor2, scalars) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor`, self, tensor1, tensor2, scalars))
+cpp_torch_namespace__foreach_sinh__self_TensorList <- function(self) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_sinh__self_TensorList`, self))
 }
 
-cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList <- function(self, tensor1, tensor2, value) {
-    .Call(`_torch_cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList`, self, tensor1, tensor2, value)
+cpp_torch_namespace__foreach_sqrt_self_TensorList <- function(self) {
+    .Call(`_torch_cpp_torch_namespace__foreach_sqrt_self_TensorList`, self)
 }
 
-cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList <- function(self, tensor1, tensor2, value) {
-    .Call(`_torch_cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList`, self, tensor1, tensor2, value)
+cpp_torch_namespace__foreach_sqrt__self_TensorList <- function(self) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_sqrt__self_TensorList`, self))
 }
 
-cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar <- function(self, tensor1, tensor2, scalars) {
-    .Call(`_torch_cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar`, self, tensor1, tensor2, scalars)
+cpp_torch_namespace__foreach_tan_self_TensorList <- function(self) {
+    .Call(`_torch_cpp_torch_namespace__foreach_tan_self_TensorList`, self)
 }
 
-cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor <- function(self, tensor1, tensor2, scalars) {
-    .Call(`_torch_cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor`, self, tensor1, tensor2, scalars)
+cpp_torch_namespace__foreach_tan__self_TensorList <- function(self) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_tan__self_TensorList`, self))
 }
 
-cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar <- function(self, tensor1, tensor2, scalars) {
-    .Call(`_torch_cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar`, self, tensor1, tensor2, scalars)
+cpp_torch_namespace__foreach_tanh_self_TensorList <- function(self) {
+    .Call(`_torch_cpp_torch_namespace__foreach_tanh_self_TensorList`, self)
 }
 
-cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor <- function(self, tensor1, tensor2, scalars) {
-    .Call(`_torch_cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor`, self, tensor1, tensor2, scalars)
+cpp_torch_namespace__foreach_tanh__self_TensorList <- function(self) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_tanh__self_TensorList`, self))
 }
 
-cpp_torch_namespace__foreach_norm_self_TensorList <- function(self, ord) {
-    .Call(`_torch_cpp_torch_namespace__foreach_norm_self_TensorList`, self, ord)
+cpp_torch_namespace__foreach_trunc_self_TensorList <- function(self) {
+    .Call(`_torch_cpp_torch_namespace__foreach_trunc_self_TensorList`, self)
 }
 
-cpp_torch_namespace__foreach_lerp_self_TensorList_tensors1_TensorList_weights_TensorList <- function(self, tensors1, weights) {
-    .Call(`_torch_cpp_torch_namespace__foreach_lerp_self_TensorList_tensors1_TensorList_weights_TensorList`, self, tensors1, weights)
+cpp_torch_namespace__foreach_trunc__self_TensorList <- function(self) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_trunc__self_TensorList`, self))
 }
 
-cpp_torch_namespace__foreach_lerp__self_TensorList_tensors1_TensorList_weights_TensorList <- function(self, tensors1, weights) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_lerp__self_TensorList_tensors1_TensorList_weights_TensorList`, self, tensors1, weights))
+cpp_torch_namespace__foreach_zero__self_TensorList <- function(self) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_zero__self_TensorList`, self))
 }
 
-cpp_torch_namespace__foreach_lerp_self_TensorList_tensors1_TensorList_weight_Scalar <- function(self, tensors1, weight) {
-    .Call(`_torch_cpp_torch_namespace__foreach_lerp_self_TensorList_tensors1_TensorList_weight_Scalar`, self, tensors1, weight)
+cpp_torch_namespace__foreach_copy__self_TensorList_src_TensorList <- function(self, src, non_blocking) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_copy__self_TensorList_src_TensorList`, self, src, non_blocking))
 }
 
-cpp_torch_namespace__foreach_lerp__self_TensorList_tensors1_TensorList_weight_Scalar <- function(self, tensors1, weight) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_lerp__self_TensorList_tensors1_TensorList_weight_Scalar`, self, tensors1, weight))
+cpp_torch_namespace__foreach_copy_self_TensorList_src_TensorList <- function(self, src, non_blocking) {
+    .Call(`_torch_cpp_torch_namespace__foreach_copy_self_TensorList_src_TensorList`, self, src, non_blocking)
 }
 
 cpp_torch_namespace_bucketize_self_Tensor_boundaries_Tensor <- function(self, boundaries, out_int32, right) {
@@ -9673,6 +10101,10 @@ cpp_torch_namespace_searchsorted_sorted_sequence_Tensor_self_Scalar <- function(
     .Call(`_torch_cpp_torch_namespace_searchsorted_sorted_sequence_Tensor_self_Scalar`, sorted_sequence, self, out_int32, right, side, sorter)
 }
 
+cpp_torch_namespace_searchsorted_out_out_Tensor_sorted_sequence_Tensor_self_Scalar <- function(out, sorted_sequence, self, out_int32, right, side, sorter) {
+    .Call(`_torch_cpp_torch_namespace_searchsorted_out_out_Tensor_sorted_sequence_Tensor_self_Scalar`, out, sorted_sequence, self, out_int32, right, side, sorter)
+}
+
 cpp_torch_namespace__convert_indices_from_coo_to_csr_self_Tensor_size_int64_t <- function(self, size, out_int32) {
     .Call(`_torch_cpp_torch_namespace__convert_indices_from_coo_to_csr_self_Tensor_size_int64_t`, self, size, out_int32)
 }
@@ -11361,6 +11793,10 @@ cpp_torch_namespace_linalg_eig_out_eigenvalues_Tensor_eigenvectors_Tensor_self_T
     .Call(`_torch_cpp_torch_namespace_linalg_eig_out_eigenvalues_Tensor_eigenvectors_Tensor_self_Tensor`, eigenvalues, eigenvectors, self)
 }
 
+cpp_torch_namespace__linalg_eigvals_self_Tensor <- function(self) {
+    .Call(`_torch_cpp_torch_namespace__linalg_eigvals_self_Tensor`, self)
+}
+
 cpp_torch_namespace_linalg_eigvals_self_Tensor <- function(self) {
     .Call(`_torch_cpp_torch_namespace_linalg_eigvals_self_Tensor`, self)
 }
@@ -11581,6 +12017,10 @@ cpp_torch_namespace_linalg_solve_A_Tensor_B_Tensor <- function(A, B, left) {
     .Call(`_torch_cpp_torch_namespace_linalg_solve_A_Tensor_B_Tensor`, A, B, left)
 }
 
+cpp_torch_namespace__spsolve_A_Tensor_B_Tensor <- function(A, B, left) {
+    .Call(`_torch_cpp_torch_namespace__spsolve_A_Tensor_B_Tensor`, A, B, left)
+}
+
 cpp_torch_namespace_linalg_solve_out_out_Tensor_A_Tensor_B_Tensor <- function(out, A, B, left) {
     .Call(`_torch_cpp_torch_namespace_linalg_solve_out_out_Tensor_A_Tensor_B_Tensor`, out, A, B, left)
 }
@@ -11665,6 +12105,10 @@ cpp_torch_namespace__test_serialization_subcmul_self_Tensor_other_Tensor <- func
     .Call(`_torch_cpp_torch_namespace__test_serialization_subcmul_self_Tensor_other_Tensor`, self, other, alpha)
 }
 
+cpp_torch_namespace__test_parallel_materialize_self_Tensor_num_parallel_int64_t <- function(self, num_parallel, skip_first) {
+    .Call(`_torch_cpp_torch_namespace__test_parallel_materialize_self_Tensor_num_parallel_int64_t`, self, num_parallel, skip_first)
+}
+
 cpp_torch_namespace__test_optional_intlist_values_Tensor_addends_IntArrayRef <- function(values, addends) {
     .Call(`_torch_cpp_torch_namespace__test_optional_intlist_values_Tensor_addends_IntArrayRef`, values, addends)
 }
@@ -11705,8 +12149,8 @@ cpp_torch_namespace__segment_reduce_backward_grad_Tensor_output_Tensor_data_Tens
     .Call(`_torch_cpp_torch_namespace__segment_reduce_backward_grad_Tensor_output_Tensor_data_Tensor_reduce_c10string_view`, grad, output, data, reduce, lengths, offsets, axis, initial)
 }
 
-cpp_torch_namespace_pad_sequence_sequences_TensorList <- function(sequences, batch_first, padding_value) {
-    .Call(`_torch_cpp_torch_namespace_pad_sequence_sequences_TensorList`, sequences, batch_first, padding_value)
+cpp_torch_namespace_pad_sequence_sequences_TensorList <- function(sequences, batch_first, padding_value, padding_side) {
+    .Call(`_torch_cpp_torch_namespace_pad_sequence_sequences_TensorList`, sequences, batch_first, padding_value, padding_side)
 }
 
 cpp_torch_namespace_flatten_dense_tensors_tensors_TensorList <- function(tensors) {
@@ -11877,10 +12321,22 @@ cpp_torch_namespace_alias_copy_self_Tensor <- function(self) {
     .Call(`_torch_cpp_torch_namespace_alias_copy_self_Tensor`, self)
 }
 
+cpp_torch_namespace__jagged_to_padded_dense_forward_values_Tensor_offsets_TensorList_max_lengths_IntArrayRef <- function(values, offsets, max_lengths, padding_value) {
+    .Call(`_torch_cpp_torch_namespace__jagged_to_padded_dense_forward_values_Tensor_offsets_TensorList_max_lengths_IntArrayRef`, values, offsets, max_lengths, padding_value)
+}
+
+cpp_torch_namespace__padded_dense_to_jagged_forward_dense_Tensor_offsets_TensorList <- function(dense, offsets, total_L) {
+    .Call(`_torch_cpp_torch_namespace__padded_dense_to_jagged_forward_dense_Tensor_offsets_TensorList`, dense, offsets, total_L)
+}
+
 cpp_torch_namespace__nested_tensor_softmax_with_shape_self_Tensor_query_Tensor <- function(self, query) {
     .Call(`_torch_cpp_torch_namespace__nested_tensor_softmax_with_shape_self_Tensor_query_Tensor`, self, query)
 }
 
+cpp_torch_namespace__safe_softmax_self_Tensor_dim_int64_t <- function(self, dim, dtype) {
+    .Call(`_torch_cpp_torch_namespace__safe_softmax_self_Tensor_dim_int64_t`, self, dim, dtype)
+}
+
 cpp_torch_namespace__transformer_encoder_layer_fwd_src_Tensor_embed_dim_int64_t_num_heads_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor_use_gelu_bool_norm_first_bool_eps_double_norm_weight_1_Tensor_norm_bias_1_Tensor_norm_weight_2_Tensor_norm_bias_2_Tensor_ffn_weight_1_Tensor_ffn_bias_1_Tensor_ffn_weight_2_Tensor_ffn_bias_2_Tensor <- function(src, embed_dim, num_heads, qkv_weight, qkv_bias, proj_weight, proj_bias, use_gelu, norm_first, eps, norm_weight_1, norm_bias_1, norm_weight_2, norm_bias_2, ffn_weight_1, ffn_bias_1, ffn_weight_2, ffn_bias_2, mask, mask_type) {
     .Call(`_torch_cpp_torch_namespace__transformer_encoder_layer_fwd_src_Tensor_embed_dim_int64_t_num_heads_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor_use_gelu_bool_norm_first_bool_eps_double_norm_weight_1_Tensor_norm_bias_1_Tensor_norm_weight_2_Tensor_norm_bias_2_Tensor_ffn_weight_1_Tensor_ffn_bias_1_Tensor_ffn_weight_2_Tensor_ffn_bias_2_Tensor`, src, embed_dim, num_heads, qkv_weight, qkv_bias, proj_weight, proj_bias, use_gelu, norm_first, eps, norm_weight_1, norm_bias_1, norm_weight_2, norm_bias_2, ffn_weight_1, ffn_bias_1, ffn_weight_2, ffn_bias_2, mask, mask_type)
 }
@@ -11889,62 +12345,86 @@ cpp_torch_namespace__native_multi_head_attention_query_Tensor_key_Tensor_value_T
     .Call(`_torch_cpp_torch_namespace__native_multi_head_attention_query_Tensor_key_Tensor_value_Tensor_embed_dim_int64_t_num_head_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor`, query, key, value, embed_dim, num_head, qkv_weight, qkv_bias, proj_weight, proj_bias, mask, need_weights, average_attn_weights, mask_type)
 }
 
-cpp_torch_namespace_scaled_dot_product_attention_query_Tensor_key_Tensor_value_Tensor <- function(query, key, value, attn_mask, dropout_p, is_causal) {
-    .Call(`_torch_cpp_torch_namespace_scaled_dot_product_attention_query_Tensor_key_Tensor_value_Tensor`, query, key, value, attn_mask, dropout_p, is_causal)
+cpp_torch_namespace_scaled_dot_product_attention_query_Tensor_key_Tensor_value_Tensor <- function(query, key, value, attn_mask, dropout_p, is_causal, scale, enable_gqa) {
+    .Call(`_torch_cpp_torch_namespace_scaled_dot_product_attention_query_Tensor_key_Tensor_value_Tensor`, query, key, value, attn_mask, dropout_p, is_causal, scale, enable_gqa)
+}
+
+cpp_torch_namespace__fused_sdp_choice_query_Tensor_key_Tensor_value_Tensor <- function(query, key, value, attn_mask, dropout_p, is_causal, scale, enable_gqa) {
+    .Call(`_torch_cpp_torch_namespace__fused_sdp_choice_query_Tensor_key_Tensor_value_Tensor`, query, key, value, attn_mask, dropout_p, is_causal, scale, enable_gqa)
+}
+
+cpp_torch_namespace__scaled_dot_product_attention_math_query_Tensor_key_Tensor_value_Tensor <- function(query, key, value, attn_mask, dropout_p, is_causal, dropout_mask, scale, enable_gqa) {
+    .Call(`_torch_cpp_torch_namespace__scaled_dot_product_attention_math_query_Tensor_key_Tensor_value_Tensor`, query, key, value, attn_mask, dropout_p, is_causal, dropout_mask, scale, enable_gqa)
+}
+
+cpp_torch_namespace__scaled_dot_product_attention_math_for_mps_query_Tensor_key_Tensor_value_Tensor <- function(query, key, value, attn_mask, dropout_p, is_causal, dropout_mask, scale) {
+    .Call(`_torch_cpp_torch_namespace__scaled_dot_product_attention_math_for_mps_query_Tensor_key_Tensor_value_Tensor`, query, key, value, attn_mask, dropout_p, is_causal, dropout_mask, scale)
 }
 
-cpp_torch_namespace__scaled_dot_product_attention_query_Tensor_key_Tensor_value_Tensor <- function(query, key, value, attn_mask, dropout_p, need_attn_weights, is_causal) {
-    .Call(`_torch_cpp_torch_namespace__scaled_dot_product_attention_query_Tensor_key_Tensor_value_Tensor`, query, key, value, attn_mask, dropout_p, need_attn_weights, is_causal)
+cpp_torch_namespace__scaled_dot_product_flash_attention_query_Tensor_key_Tensor_value_Tensor <- function(query, key, value, dropout_p, is_causal, return_debug_mask, scale) {
+    .Call(`_torch_cpp_torch_namespace__scaled_dot_product_flash_attention_query_Tensor_key_Tensor_value_Tensor`, query, key, value, dropout_p, is_causal, return_debug_mask, scale)
 }
 
-cpp_torch_namespace__fused_sdp_choice_query_Tensor_key_Tensor_value_Tensor <- function(query, key, value, attn_mask, dropout_p, is_causal) {
-    .Call(`_torch_cpp_torch_namespace__fused_sdp_choice_query_Tensor_key_Tensor_value_Tensor`, query, key, value, attn_mask, dropout_p, is_causal)
+cpp_torch_namespace__scaled_dot_product_flash_attention_for_cpu_query_Tensor_key_Tensor_value_Tensor <- function(query, key, value, dropout_p, is_causal, attn_mask, scale) {
+    .Call(`_torch_cpp_torch_namespace__scaled_dot_product_flash_attention_for_cpu_query_Tensor_key_Tensor_value_Tensor`, query, key, value, dropout_p, is_causal, attn_mask, scale)
 }
 
-cpp_torch_namespace__scaled_dot_product_attention_math_query_Tensor_key_Tensor_value_Tensor <- function(query, key, value, attn_mask, dropout_p, is_causal, dropout_mask) {
-    .Call(`_torch_cpp_torch_namespace__scaled_dot_product_attention_math_query_Tensor_key_Tensor_value_Tensor`, query, key, value, attn_mask, dropout_p, is_causal, dropout_mask)
+cpp_torch_namespace__scaled_dot_product_fused_attention_overrideable_query_Tensor_key_Tensor_value_Tensor <- function(query, key, value, attn_bias, dropout_p, is_causal, return_debug_mask, scale) {
+    .Call(`_torch_cpp_torch_namespace__scaled_dot_product_fused_attention_overrideable_query_Tensor_key_Tensor_value_Tensor`, query, key, value, attn_bias, dropout_p, is_causal, return_debug_mask, scale)
 }
 
-cpp_torch_namespace__scaled_dot_product_flash_attention_query_Tensor_key_Tensor_value_Tensor <- function(query, key, value, dropout_p, is_causal, return_debug_mask) {
-    .Call(`_torch_cpp_torch_namespace__scaled_dot_product_flash_attention_query_Tensor_key_Tensor_value_Tensor`, query, key, value, dropout_p, is_causal, return_debug_mask)
+cpp_torch_namespace__scaled_dot_product_flash_attention_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_philox_seed_Tensor_philox_offset_Tensor <- function(grad_out, query, key, value, out, logsumexp, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, philox_seed, philox_offset, scale) {
+    .Call(`_torch_cpp_torch_namespace__scaled_dot_product_flash_attention_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_philox_seed_Tensor_philox_offset_Tensor`, grad_out, query, key, value, out, logsumexp, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, philox_seed, philox_offset, scale)
 }
 
-cpp_torch_namespace__scaled_dot_product_flash_attention_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_philox_seed_int64_t_philox_offset_int64_t <- function(grad_out, query, key, value, out, logsumexp, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, philox_seed, philox_offset) {
-    .Call(`_torch_cpp_torch_namespace__scaled_dot_product_flash_attention_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_philox_seed_int64_t_philox_offset_int64_t`, grad_out, query, key, value, out, logsumexp, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, philox_seed, philox_offset)
+cpp_torch_namespace__scaled_dot_product_flash_attention_for_cpu_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_dropout_p_double_is_causal_bool <- function(grad_out, query, key, value, out, logsumexp, dropout_p, is_causal, attn_mask, scale) {
+    .Call(`_torch_cpp_torch_namespace__scaled_dot_product_flash_attention_for_cpu_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_dropout_p_double_is_causal_bool`, grad_out, query, key, value, out, logsumexp, dropout_p, is_causal, attn_mask, scale)
 }
 
-cpp_torch_namespace__scaled_dot_product_efficient_attention_query_Tensor_key_Tensor_value_Tensor_compute_log_sumexp_bool <- function(query, key, value, compute_log_sumexp, is_causal) {
-    .Call(`_torch_cpp_torch_namespace__scaled_dot_product_efficient_attention_query_Tensor_key_Tensor_value_Tensor_compute_log_sumexp_bool`, query, key, value, compute_log_sumexp, is_causal)
+cpp_torch_namespace__scaled_dot_product_fused_attention_overrideable_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_attn_bias_Tensor_grad_input_mask_stdarraybool4_out_Tensor_logsumexp_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_philox_seed_Tensor_philox_offset_Tensor <- function(grad_out, query, key, value, attn_bias, grad_input_mask, out, logsumexp, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, philox_seed, philox_offset, scale) {
+    .Call(`_torch_cpp_torch_namespace__scaled_dot_product_fused_attention_overrideable_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_attn_bias_Tensor_grad_input_mask_stdarraybool4_out_Tensor_logsumexp_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_philox_seed_Tensor_philox_offset_Tensor`, grad_out, query, key, value, attn_bias, grad_input_mask, out, logsumexp, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, philox_seed, philox_offset, scale)
 }
 
-cpp_torch_namespace__scaled_dot_product_efficient_attention_backward_grad_out__Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor <- function(grad_out_, query, key, value, out, logsumexp, is_causal, chunk_grad_outputs) {
-    .Call(`_torch_cpp_torch_namespace__scaled_dot_product_efficient_attention_backward_grad_out__Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor`, grad_out_, query, key, value, out, logsumexp, is_causal, chunk_grad_outputs)
+cpp_torch_namespace__scaled_dot_product_efficient_attention_query_Tensor_key_Tensor_value_Tensor_attn_bias_Tensor_compute_log_sumexp_bool <- function(query, key, value, attn_bias, compute_log_sumexp, dropout_p, is_causal, scale) {
+    .Call(`_torch_cpp_torch_namespace__scaled_dot_product_efficient_attention_query_Tensor_key_Tensor_value_Tensor_attn_bias_Tensor_compute_log_sumexp_bool`, query, key, value, attn_bias, compute_log_sumexp, dropout_p, is_causal, scale)
 }
 
-cpp_torch_namespace__chunk_grad_outputs_efficient_attention_query_Tensor_key_Tensor_value_Tensor <- function(query, key, value, is_causal) {
-    .Call(`_torch_cpp_torch_namespace__chunk_grad_outputs_efficient_attention_query_Tensor_key_Tensor_value_Tensor`, query, key, value, is_causal)
+cpp_torch_namespace__scaled_dot_product_efficient_attention_backward_grad_out__Tensor_query_Tensor_key_Tensor_value_Tensor_attn_bias_Tensor_out_Tensor_logsumexp_Tensor_philox_seed_Tensor_philox_offset_Tensor_dropout_p_double_grad_input_mask_stdarraybool4 <- function(grad_out_, query, key, value, attn_bias, out, logsumexp, philox_seed, philox_offset, dropout_p, grad_input_mask, is_causal, scale) {
+    .Call(`_torch_cpp_torch_namespace__scaled_dot_product_efficient_attention_backward_grad_out__Tensor_query_Tensor_key_Tensor_value_Tensor_attn_bias_Tensor_out_Tensor_logsumexp_Tensor_philox_seed_Tensor_philox_offset_Tensor_dropout_p_double_grad_input_mask_stdarraybool4`, grad_out_, query, key, value, attn_bias, out, logsumexp, philox_seed, philox_offset, dropout_p, grad_input_mask, is_causal, scale)
 }
 
-cpp_torch_namespace__flash_attention_forward_query_Tensor_key_Tensor_value_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_return_debug_mask_bool <- function(query, key, value, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, return_debug_mask) {
-    .Call(`_torch_cpp_torch_namespace__flash_attention_forward_query_Tensor_key_Tensor_value_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_return_debug_mask_bool`, query, key, value, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, return_debug_mask)
+cpp_torch_namespace__scaled_dot_product_cudnn_attention_query_Tensor_key_Tensor_value_Tensor_attn_bias_Tensor_compute_log_sumexp_bool <- function(query, key, value, attn_bias, compute_log_sumexp, dropout_p, is_causal, return_debug_mask, scale) {
+    .Call(`_torch_cpp_torch_namespace__scaled_dot_product_cudnn_attention_query_Tensor_key_Tensor_value_Tensor_attn_bias_Tensor_compute_log_sumexp_bool`, query, key, value, attn_bias, compute_log_sumexp, dropout_p, is_causal, return_debug_mask, scale)
 }
 
-cpp_torch_namespace__flash_attention_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_philox_seed_int64_t_philox_offset_int64_t <- function(grad_out, query, key, value, out, logsumexp, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, philox_seed, philox_offset) {
-    .Call(`_torch_cpp_torch_namespace__flash_attention_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_philox_seed_int64_t_philox_offset_int64_t`, grad_out, query, key, value, out, logsumexp, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, philox_seed, philox_offset)
+cpp_torch_namespace__scaled_dot_product_cudnn_attention_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_philox_seed_Tensor_philox_offset_Tensor_attn_bias_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool <- function(grad_out, query, key, value, out, logsumexp, philox_seed, philox_offset, attn_bias, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, scale) {
+    .Call(`_torch_cpp_torch_namespace__scaled_dot_product_cudnn_attention_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_philox_seed_Tensor_philox_offset_Tensor_attn_bias_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool`, grad_out, query, key, value, out, logsumexp, philox_seed, philox_offset, attn_bias, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, scale)
 }
 
-cpp_torch_namespace__efficient_attention_forward_query_Tensor_key_Tensor_value_Tensor_cu_seqlens_q_Tensor_cu_seqlens_k_Tensor_max_seqlen_q_int64_t <- function(query, key, value, cu_seqlens_q, cu_seqlens_k, max_seqlen_q, compute_log_sumexp, causal) {
-    .Call(`_torch_cpp_torch_namespace__efficient_attention_forward_query_Tensor_key_Tensor_value_Tensor_cu_seqlens_q_Tensor_cu_seqlens_k_Tensor_max_seqlen_q_int64_t`, query, key, value, cu_seqlens_q, cu_seqlens_k, max_seqlen_q, compute_log_sumexp, causal)
+cpp_torch_namespace__flash_attention_forward_query_Tensor_key_Tensor_value_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_return_debug_mask_bool <- function(query, key, value, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, return_debug_mask, scale, window_size_left, window_size_right, seqused_k, alibi_slopes) {
+    .Call(`_torch_cpp_torch_namespace__flash_attention_forward_query_Tensor_key_Tensor_value_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_return_debug_mask_bool`, query, key, value, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, return_debug_mask, scale, window_size_left, window_size_right, seqused_k, alibi_slopes)
 }
 
-cpp_torch_namespace__efficient_attention_backward_grad_out__Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor <- function(grad_out_, query, key, value, out, logsumexp, is_causal, chunk_grad_outputs) {
-    .Call(`_torch_cpp_torch_namespace__efficient_attention_backward_grad_out__Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor`, grad_out_, query, key, value, out, logsumexp, is_causal, chunk_grad_outputs)
+cpp_torch_namespace__flash_attention_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_philox_seed_Tensor_philox_offset_Tensor <- function(grad_out, query, key, value, out, logsumexp, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, philox_seed, philox_offset, scale, window_size_left, window_size_right) {
+    .Call(`_torch_cpp_torch_namespace__flash_attention_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_philox_seed_Tensor_philox_offset_Tensor`, grad_out, query, key, value, out, logsumexp, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, philox_seed, philox_offset, scale, window_size_left, window_size_right)
+}
+
+cpp_torch_namespace__efficient_attention_forward_query_Tensor_key_Tensor_value_Tensor_bias_Tensor_cu_seqlens_q_Tensor_cu_seqlens_k_Tensor_max_seqlen_q_int64_t_max_seqlen_k_int64_t_dropout_p_double_custom_mask_type_int64_t <- function(query, key, value, bias, cu_seqlens_q, cu_seqlens_k, max_seqlen_q, max_seqlen_k, dropout_p, custom_mask_type, compute_log_sumexp, scale, seqlen_k, window_size) {
+    .Call(`_torch_cpp_torch_namespace__efficient_attention_forward_query_Tensor_key_Tensor_value_Tensor_bias_Tensor_cu_seqlens_q_Tensor_cu_seqlens_k_Tensor_max_seqlen_q_int64_t_max_seqlen_k_int64_t_dropout_p_double_custom_mask_type_int64_t`, query, key, value, bias, cu_seqlens_q, cu_seqlens_k, max_seqlen_q, max_seqlen_k, dropout_p, custom_mask_type, compute_log_sumexp, scale, seqlen_k, window_size)
+}
+
+cpp_torch_namespace__efficient_attention_backward_grad_out__Tensor_query_Tensor_key_Tensor_value_Tensor_bias_Tensor_out_Tensor_cu_seqlens_q_Tensor_cu_seqlens_k_Tensor_max_seqlen_q_int64_t_max_seqlen_k_int64_t_logsumexp_Tensor_dropout_p_double_philox_seed_Tensor_philox_offset_Tensor_custom_mask_type_int64_t_bias_requires_grad_bool <- function(grad_out_, query, key, value, bias, out, cu_seqlens_q, cu_seqlens_k, max_seqlen_q, max_seqlen_k, logsumexp, dropout_p, philox_seed, philox_offset, custom_mask_type, bias_requires_grad, scale, num_splits_key, window_size, shared_storage_dqdkdv) {
+    .Call(`_torch_cpp_torch_namespace__efficient_attention_backward_grad_out__Tensor_query_Tensor_key_Tensor_value_Tensor_bias_Tensor_out_Tensor_cu_seqlens_q_Tensor_cu_seqlens_k_Tensor_max_seqlen_q_int64_t_max_seqlen_k_int64_t_logsumexp_Tensor_dropout_p_double_philox_seed_Tensor_philox_offset_Tensor_custom_mask_type_int64_t_bias_requires_grad_bool`, grad_out_, query, key, value, bias, out, cu_seqlens_q, cu_seqlens_k, max_seqlen_q, max_seqlen_k, logsumexp, dropout_p, philox_seed, philox_offset, custom_mask_type, bias_requires_grad, scale, num_splits_key, window_size, shared_storage_dqdkdv)
 }
 
 cpp_torch_namespace__triton_scaled_dot_attention_q_Tensor_k_Tensor_v_Tensor <- function(q, k, v, dropout_p) {
     .Call(`_torch_cpp_torch_namespace__triton_scaled_dot_attention_q_Tensor_k_Tensor_v_Tensor`, q, k, v, dropout_p)
 }
 
+cpp_torch_namespace__fill_mem_eff_dropout_mask__self_Tensor_dropout_p_double_seed_int64_t_offset_int64_t <- function(self, dropout_p, seed, offset) {
+    .Call(`_torch_cpp_torch_namespace__fill_mem_eff_dropout_mask__self_Tensor_dropout_p_double_seed_int64_t_offset_int64_t`, self, dropout_p, seed, offset)
+}
+
 cpp_torch_namespace__triton_multi_head_attention_query_Tensor_key_Tensor_value_Tensor_embed_dim_int64_t_num_head_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor <- function(query, key, value, embed_dim, num_head, qkv_weight, qkv_bias, proj_weight, proj_bias, mask) {
     .Call(`_torch_cpp_torch_namespace__triton_multi_head_attention_query_Tensor_key_Tensor_value_Tensor_embed_dim_int64_t_num_head_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor`, query, key, value, embed_dim, num_head, qkv_weight, qkv_bias, proj_weight, proj_bias, mask)
 }
@@ -11957,14 +12437,6 @@ cpp_torch_namespace_special_airy_ai_out_out_Tensor_x_Tensor <- function(out, x)
     .Call(`_torch_cpp_torch_namespace_special_airy_ai_out_out_Tensor_x_Tensor`, out, x)
 }
 
-cpp_torch_namespace__transformer_decoder_only_layer_fwd_src_Tensor_embed_dim_int64_t_num_heads_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor_use_gelu_bool_norm_first_bool_eps_double_norm_weight_1_Tensor_norm_bias_1_Tensor_norm_weight_2_Tensor_norm_bias_2_Tensor_ffn_weight_1_Tensor_ffn_bias_1_Tensor_ffn_weight_2_Tensor_ffn_bias_2_Tensor <- function(src, embed_dim, num_heads, qkv_weight, qkv_bias, proj_weight, proj_bias, use_gelu, norm_first, eps, norm_weight_1, norm_bias_1, norm_weight_2, norm_bias_2, ffn_weight_1, ffn_bias_1, ffn_weight_2, ffn_bias_2, mask, incr_key, incr_value) {
-    .Call(`_torch_cpp_torch_namespace__transformer_decoder_only_layer_fwd_src_Tensor_embed_dim_int64_t_num_heads_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor_use_gelu_bool_norm_first_bool_eps_double_norm_weight_1_Tensor_norm_bias_1_Tensor_norm_weight_2_Tensor_norm_bias_2_Tensor_ffn_weight_1_Tensor_ffn_bias_1_Tensor_ffn_weight_2_Tensor_ffn_bias_2_Tensor`, src, embed_dim, num_heads, qkv_weight, qkv_bias, proj_weight, proj_bias, use_gelu, norm_first, eps, norm_weight_1, norm_bias_1, norm_weight_2, norm_bias_2, ffn_weight_1, ffn_bias_1, ffn_weight_2, ffn_bias_2, mask, incr_key, incr_value)
-}
-
-cpp_torch_namespace__native_decoder_only_multi_head_attention_query_Tensor_key_Tensor_value_Tensor_embed_dim_int64_t_num_head_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor <- function(query, key, value, embed_dim, num_head, qkv_weight, qkv_bias, proj_weight, proj_bias, mask, incr_key, incr_value, need_weights, average_attn_weights) {
-    .Call(`_torch_cpp_torch_namespace__native_decoder_only_multi_head_attention_query_Tensor_key_Tensor_value_Tensor_embed_dim_int64_t_num_head_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor`, query, key, value, embed_dim, num_head, qkv_weight, qkv_bias, proj_weight, proj_bias, mask, incr_key, incr_value, need_weights, average_attn_weights)
-}
-
 cpp_torch_namespace_special_bessel_j0_self_Tensor <- function(self) {
     .Call(`_torch_cpp_torch_namespace_special_bessel_j0_self_Tensor`, self)
 }
@@ -12337,20 +12809,44 @@ cpp_torch_namespace_special_spherical_bessel_j0_x_Tensor <- function(x) {
     .Call(`_torch_cpp_torch_namespace_special_spherical_bessel_j0_x_Tensor`, x)
 }
 
-cpp_torch_namespace_special_spherical_bessel_j0_out_out_Tensor_x_Tensor <- function(out, x) {
-    .Call(`_torch_cpp_torch_namespace_special_spherical_bessel_j0_out_out_Tensor_x_Tensor`, out, x)
+cpp_torch_namespace_special_spherical_bessel_j0_out_out_Tensor_x_Tensor <- function(out, x) {
+    .Call(`_torch_cpp_torch_namespace_special_spherical_bessel_j0_out_out_Tensor_x_Tensor`, out, x)
+}
+
+cpp_torch_namespace__foobar_self_Tensor <- function(self, arg1, arg2, arg3) {
+    .Call(`_torch_cpp_torch_namespace__foobar_self_Tensor`, self, arg1, arg2, arg3)
+}
+
+cpp_torch_namespace__fused_adam__self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_double_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool <- function(self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf) {
+    invisible(.Call(`_torch_cpp_torch_namespace__fused_adam__self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_double_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool`, self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf))
+}
+
+cpp_torch_namespace__fused_adam__self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool <- function(self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf) {
+    invisible(.Call(`_torch_cpp_torch_namespace__fused_adam__self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool`, self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf))
+}
+
+cpp_torch_namespace__fused_adamw__self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_double_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool <- function(self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf) {
+    invisible(.Call(`_torch_cpp_torch_namespace__fused_adamw__self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_double_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool`, self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf))
+}
+
+cpp_torch_namespace__fused_adamw__self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool <- function(self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf) {
+    invisible(.Call(`_torch_cpp_torch_namespace__fused_adamw__self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool`, self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf))
+}
+
+cpp_torch_namespace__fused_sgd__self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_double_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool <- function(self, grads, momentum_buffer_list, weight_decay, momentum, lr, dampening, nesterov, maximize, is_first_step, grad_scale, found_inf) {
+    invisible(.Call(`_torch_cpp_torch_namespace__fused_sgd__self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_double_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool`, self, grads, momentum_buffer_list, weight_decay, momentum, lr, dampening, nesterov, maximize, is_first_step, grad_scale, found_inf))
 }
 
-cpp_torch_namespace__foobar_self_Tensor <- function(self, arg1, arg2, arg3) {
-    .Call(`_torch_cpp_torch_namespace__foobar_self_Tensor`, self, arg1, arg2, arg3)
+cpp_torch_namespace__fused_sgd__self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_Tensor_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool <- function(self, grads, momentum_buffer_list, weight_decay, momentum, lr, dampening, nesterov, maximize, is_first_step, grad_scale, found_inf) {
+    invisible(.Call(`_torch_cpp_torch_namespace__fused_sgd__self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_Tensor_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool`, self, grads, momentum_buffer_list, weight_decay, momentum, lr, dampening, nesterov, maximize, is_first_step, grad_scale, found_inf))
 }
 
-cpp_torch_namespace__fused_adam__self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_double_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool <- function(self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf) {
-    invisible(.Call(`_torch_cpp_torch_namespace__fused_adam__self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_double_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool`, self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf))
+cpp_torch_namespace__fused_adagrad__self_TensorList_grads_TensorList_state_sums_TensorList_state_steps_TensorList_lr_double_lr_decay_double_weight_decay_double_eps_double_maximize_bool <- function(self, grads, state_sums, state_steps, lr, lr_decay, weight_decay, eps, maximize, grad_scale, found_inf) {
+    invisible(.Call(`_torch_cpp_torch_namespace__fused_adagrad__self_TensorList_grads_TensorList_state_sums_TensorList_state_steps_TensorList_lr_double_lr_decay_double_weight_decay_double_eps_double_maximize_bool`, self, grads, state_sums, state_steps, lr, lr_decay, weight_decay, eps, maximize, grad_scale, found_inf))
 }
 
-cpp_torch_namespace__fused_adamw__self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_double_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool <- function(self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf) {
-    invisible(.Call(`_torch_cpp_torch_namespace__fused_adamw__self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_double_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool`, self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf))
+cpp_torch_namespace__propagate_xla_data_input_Tensor_output_Tensor <- function(input, output) {
+    invisible(.Call(`_torch_cpp_torch_namespace__propagate_xla_data_input_Tensor_output_Tensor`, input, output))
 }
 
 cpp_torch_namespace__new_zeros_with_same_feature_meta_out_out_Tensor_self_Tensor_other_Tensor <- function(out, self, other, self_num_batch_dims) {
@@ -12409,6 +12905,10 @@ cpp_torch_namespace_affine_grid_generator_out_out_Tensor_theta_Tensor_size_IntAr
     .Call(`_torch_cpp_torch_namespace_affine_grid_generator_out_out_Tensor_theta_Tensor_size_IntArrayRef_align_corners_bool`, out, theta, size, align_corners)
 }
 
+cpp_torch_namespace__test_functorch_fallback_out_out_Tensor_self_Tensor_other_Tensor <- function(out, self, other) {
+    .Call(`_torch_cpp_torch_namespace__test_functorch_fallback_out_out_Tensor_self_Tensor_other_Tensor`, out, self, other)
+}
+
 cpp_torch_namespace_bartlett_window_out_out_Tensor_window_length_int64_t <- function(out, window_length) {
     .Call(`_torch_cpp_torch_namespace_bartlett_window_out_out_Tensor_window_length_int64_t`, out, window_length)
 }
@@ -12517,10 +13017,6 @@ cpp_torch_namespace_cudnn_batch_norm_backward_out_out0_Tensor_out1_Tensor_out2_T
     .Call(`_torch_cpp_torch_namespace_cudnn_batch_norm_backward_out_out0_Tensor_out1_Tensor_out2_Tensor_input_Tensor_grad_output_Tensor_weight_Tensor_running_mean_Tensor_running_var_Tensor_save_mean_Tensor_save_var_Tensor_epsilon_double_reserveSpace_Tensor`, out0, out1, out2, input, grad_output, weight, running_mean, running_var, save_mean, save_var, epsilon, reserveSpace)
 }
 
-cpp_torch_namespace_cudnn_convolution_out_out_Tensor_self_Tensor_weight_Tensor_padding_IntArrayRef_stride_IntArrayRef_dilation_IntArrayRef_groups_int64_t_benchmark_bool_deterministic_bool_allow_tf32_bool <- function(out, self, weight, padding, stride, dilation, groups, benchmark, deterministic, allow_tf32) {
-    .Call(`_torch_cpp_torch_namespace_cudnn_convolution_out_out_Tensor_self_Tensor_weight_Tensor_padding_IntArrayRef_stride_IntArrayRef_dilation_IntArrayRef_groups_int64_t_benchmark_bool_deterministic_bool_allow_tf32_bool`, out, self, weight, padding, stride, dilation, groups, benchmark, deterministic, allow_tf32)
-}
-
 cpp_torch_namespace_cudnn_convolution_transpose_out_out_Tensor_self_Tensor_weight_Tensor_padding_IntArrayRef_output_padding_IntArrayRef_stride_IntArrayRef_dilation_IntArrayRef_groups_int64_t_benchmark_bool_deterministic_bool_allow_tf32_bool <- function(out, self, weight, padding, output_padding, stride, dilation, groups, benchmark, deterministic, allow_tf32) {
     .Call(`_torch_cpp_torch_namespace_cudnn_convolution_transpose_out_out_Tensor_self_Tensor_weight_Tensor_padding_IntArrayRef_output_padding_IntArrayRef_stride_IntArrayRef_dilation_IntArrayRef_groups_int64_t_benchmark_bool_deterministic_bool_allow_tf32_bool`, out, self, weight, padding, output_padding, stride, dilation, groups, benchmark, deterministic, allow_tf32)
 }
@@ -12613,6 +13109,10 @@ cpp_torch_namespace_empty_out_out_Tensor_size_IntArrayRef_names_DimnameList <- f
     .Call(`_torch_cpp_torch_namespace_empty_out_out_Tensor_size_IntArrayRef_names_DimnameList`, out, size, names, memory_format)
 }
 
+cpp_torch_namespace_empty_permuted_out_out_Tensor_size_IntArrayRef_physical_layout_IntArrayRef <- function(out, size, physical_layout) {
+    .Call(`_torch_cpp_torch_namespace_empty_permuted_out_out_Tensor_size_IntArrayRef_physical_layout_IntArrayRef`, out, size, physical_layout)
+}
+
 cpp_torch_namespace_new_empty_out_out_Tensor_self_Tensor_size_IntArrayRef <- function(out, self, size) {
     .Call(`_torch_cpp_torch_namespace_new_empty_out_out_Tensor_self_Tensor_size_IntArrayRef`, out, self, size)
 }
@@ -12677,6 +13177,10 @@ cpp_torch_namespace_fill_out_out_Tensor_self_Tensor_value_Tensor <- function(out
     .Call(`_torch_cpp_torch_namespace_fill_out_out_Tensor_self_Tensor_value_Tensor`, out, self, value)
 }
 
+cpp_torch_namespace_floor_divide_out_out_Tensor_self_Tensor_other_Scalar <- function(out, self, other) {
+    .Call(`_torch_cpp_torch_namespace_floor_divide_out_out_Tensor_self_Tensor_other_Scalar`, out, self, other)
+}
+
 cpp_torch_namespace_full_out_out_Tensor_size_IntArrayRef_fill_value_Scalar_names_DimnameList <- function(out, size, fill_value, names) {
     .Call(`_torch_cpp_torch_namespace_full_out_out_Tensor_size_IntArrayRef_fill_value_Scalar_names_DimnameList`, out, size, fill_value, names)
 }
@@ -12753,16 +13257,16 @@ cpp_torch_namespace_native_group_norm_backward_out_out0_Tensor_out1_Tensor_out2_
     .Call(`_torch_cpp_torch_namespace_native_group_norm_backward_out_out0_Tensor_out1_Tensor_out2_Tensor_grad_out_Tensor_input_Tensor_mean_Tensor_rstd_Tensor_weight_Tensor_FALSE_int64_t_C_int64_t_HxW_int64_t_group_int64_t_output_mask_stdarraybool3`, out0, out1, out2, grad_out, input, mean, rstd, weight, False, C, HxW, group, output_mask)
 }
 
-cpp_torch_namespace_index_put_out_out_Tensor_self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor <- function(out, self, indices, values, accumulate) {
-    .Call(`_torch_cpp_torch_namespace_index_put_out_out_Tensor_self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor`, out, self, indices, values, accumulate)
+cpp_torch_namespace_index_put_out_out_Tensor_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor <- function(out, self, indices, values, accumulate) {
+    .Call(`_torch_cpp_torch_namespace_index_put_out_out_Tensor_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor`, out, self, indices, values, accumulate)
 }
 
-cpp_torch_namespace__index_put_impl_out_out_Tensor_self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor <- function(out, self, indices, values, accumulate, unsafe) {
-    .Call(`_torch_cpp_torch_namespace__index_put_impl_out_out_Tensor_self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor`, out, self, indices, values, accumulate, unsafe)
+cpp_torch_namespace__index_put_impl_out_out_Tensor_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor <- function(out, self, indices, values, accumulate, unsafe) {
+    .Call(`_torch_cpp_torch_namespace__index_put_impl_out_out_Tensor_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor`, out, self, indices, values, accumulate, unsafe)
 }
 
-cpp_torch_namespace__index_put_impl_self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor <- function(self, indices, values, accumulate, unsafe) {
-    .Call(`_torch_cpp_torch_namespace__index_put_impl_self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor`, self, indices, values, accumulate, unsafe)
+cpp_torch_namespace__index_put_impl_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor <- function(self, indices, values, accumulate, unsafe) {
+    .Call(`_torch_cpp_torch_namespace__index_put_impl_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor`, self, indices, values, accumulate, unsafe)
 }
 
 cpp_torch_namespace_isnan_out_out_Tensor_self_Tensor <- function(out, self) {
@@ -12837,6 +13341,10 @@ cpp_torch_namespace_quantized_max_pool2d_out_out_Tensor_self_Tensor_kernel_size_
     .Call(`_torch_cpp_torch_namespace_quantized_max_pool2d_out_out_Tensor_self_Tensor_kernel_size_IntArrayRef`, out, self, kernel_size, stride, padding, dilation, ceil_mode)
 }
 
+cpp_torch_namespace_quantized_max_pool3d_out_out_Tensor_self_Tensor_kernel_size_IntArrayRef <- function(out, self, kernel_size, stride, padding, dilation, ceil_mode) {
+    .Call(`_torch_cpp_torch_namespace_quantized_max_pool3d_out_out_Tensor_self_Tensor_kernel_size_IntArrayRef`, out, self, kernel_size, stride, padding, dilation, ceil_mode)
+}
+
 cpp_torch_namespace_median_out_out_Tensor_self_Tensor <- function(out, self) {
     .Call(`_torch_cpp_torch_namespace_median_out_out_Tensor_self_Tensor`, out, self)
 }
@@ -12905,6 +13413,10 @@ cpp_torch_namespace__native_batch_norm_legit_functional_input_Tensor_weight_Tens
     .Call(`_torch_cpp_torch_namespace__native_batch_norm_legit_functional_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_training_bool_momentum_double_eps_double`, input, weight, bias, running_mean, running_var, training, momentum, eps)
 }
 
+cpp_torch_namespace__native_batch_norm_legit_no_training_out_out0_Tensor_out1_Tensor_out2_Tensor_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double <- function(out0, out1, out2, input, weight, bias, running_mean, running_var, momentum, eps) {
+    .Call(`_torch_cpp_torch_namespace__native_batch_norm_legit_no_training_out_out0_Tensor_out1_Tensor_out2_Tensor_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double`, out0, out1, out2, input, weight, bias, running_mean, running_var, momentum, eps)
+}
+
 cpp_torch_namespace_batch_norm_stats_out_out0_Tensor_out1_Tensor_input_Tensor_eps_double <- function(out0, out1, input, eps) {
     .Call(`_torch_cpp_torch_namespace_batch_norm_stats_out_out0_Tensor_out1_Tensor_input_Tensor_eps_double`, out0, out1, input, eps)
 }
@@ -12925,8 +13437,8 @@ cpp_torch_namespace_batch_norm_backward_reduce_out_out0_Tensor_out1_Tensor_out2_
     .Call(`_torch_cpp_torch_namespace_batch_norm_backward_reduce_out_out0_Tensor_out1_Tensor_out2_Tensor_out3_Tensor_grad_out_Tensor_input_Tensor_mean_Tensor_invstd_Tensor_weight_Tensor_input_g_bool_weight_g_bool_bias_g_bool`, out0, out1, out2, out3, grad_out, input, mean, invstd, weight, input_g, weight_g, bias_g)
 }
 
-cpp_torch_namespace_batch_norm_backward_elemt_out_out_Tensor_grad_out_Tensor_input_Tensor_mean_Tensor_invstd_Tensor_weight_Tensor_mean_dy_Tensor_mean_dy_xmu_Tensor_count_Tensor <- function(out, grad_out, input, mean, invstd, weight, mean_dy, mean_dy_xmu, count) {
-    .Call(`_torch_cpp_torch_namespace_batch_norm_backward_elemt_out_out_Tensor_grad_out_Tensor_input_Tensor_mean_Tensor_invstd_Tensor_weight_Tensor_mean_dy_Tensor_mean_dy_xmu_Tensor_count_Tensor`, out, grad_out, input, mean, invstd, weight, mean_dy, mean_dy_xmu, count)
+cpp_torch_namespace_batch_norm_backward_elemt_out_out_Tensor_grad_out_Tensor_input_Tensor_mean_Tensor_invstd_Tensor_weight_Tensor_sum_dy_Tensor_sum_dy_xmu_Tensor_count_Tensor <- function(out, grad_out, input, mean, invstd, weight, sum_dy, sum_dy_xmu, count) {
+    .Call(`_torch_cpp_torch_namespace_batch_norm_backward_elemt_out_out_Tensor_grad_out_Tensor_input_Tensor_mean_Tensor_invstd_Tensor_weight_Tensor_sum_dy_Tensor_sum_dy_xmu_Tensor_count_Tensor`, out, grad_out, input, mean, invstd, weight, sum_dy, sum_dy_xmu, count)
 }
 
 cpp_torch_namespace_batch_norm_update_stats_out_out0_Tensor_out1_Tensor_input_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double <- function(out0, out1, input, running_mean, running_var, momentum) {
@@ -13113,12 +13625,24 @@ cpp_torch_namespace__nested_tensor_strides_out_out_Tensor_self_Tensor <- functio
     .Call(`_torch_cpp_torch_namespace__nested_tensor_strides_out_out_Tensor_self_Tensor`, out, self)
 }
 
+cpp_torch_namespace__nested_tensor_storage_offsets_out_out_Tensor_self_Tensor <- function(out, self) {
+    .Call(`_torch_cpp_torch_namespace__nested_tensor_storage_offsets_out_out_Tensor_self_Tensor`, out, self)
+}
+
 cpp_torch_namespace__nested_from_padded_and_nested_example_out_out_Tensor_padded_Tensor_nt_example_Tensor <- function(out, padded, nt_example) {
     .Call(`_torch_cpp_torch_namespace__nested_from_padded_and_nested_example_out_out_Tensor_padded_Tensor_nt_example_Tensor`, out, padded, nt_example)
 }
 
-cpp_torch_namespace__nested_view_from_buffer_copy_out_out_Tensor_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_IntArrayRef <- function(out, self, nested_size, nested_strides, offsets) {
-    .Call(`_torch_cpp_torch_namespace__nested_view_from_buffer_copy_out_out_Tensor_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_IntArrayRef`, out, self, nested_size, nested_strides, offsets)
+cpp_torch_namespace__nested_view_from_buffer_copy_out_out_Tensor_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_Tensor <- function(out, self, nested_size, nested_strides, offsets) {
+    .Call(`_torch_cpp_torch_namespace__nested_view_from_buffer_copy_out_out_Tensor_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_Tensor`, out, self, nested_size, nested_strides, offsets)
+}
+
+cpp_torch_namespace__nested_view_from_jagged_copy_out_out_Tensor_self_Tensor_offsets_Tensor_dummy_Tensor <- function(out, self, offsets, dummy, lengths, ragged_idx, min_seqlen, max_seqlen) {
+    .Call(`_torch_cpp_torch_namespace__nested_view_from_jagged_copy_out_out_Tensor_self_Tensor_offsets_Tensor_dummy_Tensor`, out, self, offsets, dummy, lengths, ragged_idx, min_seqlen, max_seqlen)
+}
+
+cpp_torch_namespace__nested_get_values_copy_out_out_Tensor_self_Tensor <- function(out, self) {
+    .Call(`_torch_cpp_torch_namespace__nested_get_values_copy_out_out_Tensor_self_Tensor`, out, self)
 }
 
 cpp_torch_namespace__trilinear_out_out_Tensor_i1_Tensor_i2_Tensor_i3_Tensor_expand1_IntArrayRef_expand2_IntArrayRef_expand3_IntArrayRef_sumdim_IntArrayRef <- function(out, i1, i2, i3, expand1, expand2, expand3, sumdim, unroll_dim) {
@@ -13201,6 +13725,14 @@ cpp_torch_namespace_native_norm_out_out_Tensor_self_Tensor_p_Scalar_dim_IntArray
     .Call(`_torch_cpp_torch_namespace_native_norm_out_out_Tensor_self_Tensor_p_Scalar_dim_IntArrayRef_keepdim_bool_dtype_ScalarType`, out, self, p, dim, keepdim, dtype)
 }
 
+cpp_torch_namespace__batch_norm_with_update_functional_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double <- function(input, weight, bias, running_mean, running_var, momentum, eps) {
+    .Call(`_torch_cpp_torch_namespace__batch_norm_with_update_functional_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double`, input, weight, bias, running_mean, running_var, momentum, eps)
+}
+
+cpp_torch_namespace__batch_norm_no_update_out_out0_Tensor_out1_Tensor_out2_Tensor_out3_Tensor_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double <- function(out0, out1, out2, out3, input, weight, bias, running_mean, running_var, momentum, eps) {
+    .Call(`_torch_cpp_torch_namespace__batch_norm_no_update_out_out0_Tensor_out1_Tensor_out2_Tensor_out3_Tensor_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double`, out0, out1, out2, out3, input, weight, bias, running_mean, running_var, momentum, eps)
+}
+
 cpp_torch_namespace__sparse_sum_out_out_Tensor_self_Tensor_dim_IntArrayRef <- function(out, self, dim) {
     .Call(`_torch_cpp_torch_namespace__sparse_sum_out_out_Tensor_self_Tensor_dim_IntArrayRef`, out, self, dim)
 }
@@ -13297,8 +13829,8 @@ cpp_torch_namespace__sparse_coo_tensor_with_dims_out_out_Tensor_sparse_dim_int64
     .Call(`_torch_cpp_torch_namespace__sparse_coo_tensor_with_dims_out_out_Tensor_sparse_dim_int64_t_dense_dim_int64_t_size_IntArrayRef`, out, sparse_dim, dense_dim, size)
 }
 
-cpp_torch_namespace__sparse_coo_tensor_with_dims_and_tensors_out_out_Tensor_sparse_dim_int64_t_dense_dim_int64_t_size_IntArrayRef_indices_Tensor_values_Tensor <- function(out, sparse_dim, dense_dim, size, indices, values) {
-    .Call(`_torch_cpp_torch_namespace__sparse_coo_tensor_with_dims_and_tensors_out_out_Tensor_sparse_dim_int64_t_dense_dim_int64_t_size_IntArrayRef_indices_Tensor_values_Tensor`, out, sparse_dim, dense_dim, size, indices, values)
+cpp_torch_namespace__sparse_coo_tensor_with_dims_and_tensors_out_out_Tensor_sparse_dim_int64_t_dense_dim_int64_t_size_IntArrayRef_indices_Tensor_values_Tensor <- function(out, sparse_dim, dense_dim, size, indices, values, is_coalesced) {
+    .Call(`_torch_cpp_torch_namespace__sparse_coo_tensor_with_dims_and_tensors_out_out_Tensor_sparse_dim_int64_t_dense_dim_int64_t_size_IntArrayRef_indices_Tensor_values_Tensor`, out, sparse_dim, dense_dim, size, indices, values, is_coalesced)
 }
 
 cpp_torch_namespace_sparse_resize_out_out_Tensor_self_Tensor_size_IntArrayRef_sparse_dim_int64_t_dense_dim_int64_t <- function(out, self, size, sparse_dim, dense_dim) {
@@ -13321,8 +13853,12 @@ cpp_torch_namespace_sparse_mask_out_out_Tensor_self_Tensor_mask_Tensor <- functi
     .Call(`_torch_cpp_torch_namespace_sparse_mask_out_out_Tensor_self_Tensor_mask_Tensor`, out, self, mask)
 }
 
-cpp_torch_namespace__to_dense_out_out_Tensor_self_Tensor <- function(out, self, dtype) {
-    .Call(`_torch_cpp_torch_namespace__to_dense_out_out_Tensor_self_Tensor`, out, self, dtype)
+cpp_torch_namespace__sparse_mask_projection_out_out_Tensor_self_Tensor_mask_Tensor <- function(out, self, mask, accumulate_matches) {
+    .Call(`_torch_cpp_torch_namespace__sparse_mask_projection_out_out_Tensor_self_Tensor_mask_Tensor`, out, self, mask, accumulate_matches)
+}
+
+cpp_torch_namespace__to_dense_out_out_Tensor_self_Tensor <- function(out, self, dtype, masked_grad) {
+    .Call(`_torch_cpp_torch_namespace__to_dense_out_out_Tensor_self_Tensor`, out, self, dtype, masked_grad)
 }
 
 cpp_torch_namespace__coalesce_out_out_Tensor_self_Tensor <- function(out, self) {
@@ -13345,28 +13881,28 @@ cpp_torch_namespace_copy_sparse_to_sparse_self_Tensor_src_Tensor <- function(sel
     .Call(`_torch_cpp_torch_namespace_copy_sparse_to_sparse_self_Tensor_src_Tensor`, self, src, non_blocking)
 }
 
-cpp_torch_namespace_to_sparse_out_out_Tensor_self_Tensor_sparse_dim_int64_t <- function(out, self, sparse_dim) {
-    .Call(`_torch_cpp_torch_namespace_to_sparse_out_out_Tensor_self_Tensor_sparse_dim_int64_t`, out, self, sparse_dim)
+cpp_torch_namespace__to_sparse_out_out_Tensor_self_Tensor_sparse_dim_int64_t <- function(out, self, sparse_dim) {
+    .Call(`_torch_cpp_torch_namespace__to_sparse_out_out_Tensor_self_Tensor_sparse_dim_int64_t`, out, self, sparse_dim)
 }
 
-cpp_torch_namespace_to_sparse_out_out_Tensor_self_Tensor <- function(out, self, layout, blocksize, dense_dim) {
-    .Call(`_torch_cpp_torch_namespace_to_sparse_out_out_Tensor_self_Tensor`, out, self, layout, blocksize, dense_dim)
+cpp_torch_namespace__to_sparse_out_out_Tensor_self_Tensor <- function(out, self, layout, blocksize, dense_dim) {
+    .Call(`_torch_cpp_torch_namespace__to_sparse_out_out_Tensor_self_Tensor`, out, self, layout, blocksize, dense_dim)
 }
 
-cpp_torch_namespace_to_sparse_csr_out_out_Tensor_self_Tensor <- function(out, self, dense_dim) {
-    .Call(`_torch_cpp_torch_namespace_to_sparse_csr_out_out_Tensor_self_Tensor`, out, self, dense_dim)
+cpp_torch_namespace__to_sparse_csr_out_out_Tensor_self_Tensor <- function(out, self, dense_dim) {
+    .Call(`_torch_cpp_torch_namespace__to_sparse_csr_out_out_Tensor_self_Tensor`, out, self, dense_dim)
 }
 
-cpp_torch_namespace_to_sparse_csc_out_out_Tensor_self_Tensor <- function(out, self, dense_dim) {
-    .Call(`_torch_cpp_torch_namespace_to_sparse_csc_out_out_Tensor_self_Tensor`, out, self, dense_dim)
+cpp_torch_namespace__to_sparse_csc_out_out_Tensor_self_Tensor <- function(out, self, dense_dim) {
+    .Call(`_torch_cpp_torch_namespace__to_sparse_csc_out_out_Tensor_self_Tensor`, out, self, dense_dim)
 }
 
-cpp_torch_namespace_to_sparse_bsr_out_out_Tensor_self_Tensor_blocksize_IntArrayRef <- function(out, self, blocksize, dense_dim) {
-    .Call(`_torch_cpp_torch_namespace_to_sparse_bsr_out_out_Tensor_self_Tensor_blocksize_IntArrayRef`, out, self, blocksize, dense_dim)
+cpp_torch_namespace__to_sparse_bsr_out_out_Tensor_self_Tensor_blocksize_IntArrayRef <- function(out, self, blocksize, dense_dim) {
+    .Call(`_torch_cpp_torch_namespace__to_sparse_bsr_out_out_Tensor_self_Tensor_blocksize_IntArrayRef`, out, self, blocksize, dense_dim)
 }
 
-cpp_torch_namespace_to_sparse_bsc_out_out_Tensor_self_Tensor_blocksize_IntArrayRef <- function(out, self, blocksize, dense_dim) {
-    .Call(`_torch_cpp_torch_namespace_to_sparse_bsc_out_out_Tensor_self_Tensor_blocksize_IntArrayRef`, out, self, blocksize, dense_dim)
+cpp_torch_namespace__to_sparse_bsc_out_out_Tensor_self_Tensor_blocksize_IntArrayRef <- function(out, self, blocksize, dense_dim) {
+    .Call(`_torch_cpp_torch_namespace__to_sparse_bsc_out_out_Tensor_self_Tensor_blocksize_IntArrayRef`, out, self, blocksize, dense_dim)
 }
 
 cpp_torch_namespace_to_mkldnn_out_out_Tensor_self_Tensor <- function(out, self, dtype) {
@@ -13377,8 +13913,8 @@ cpp_torch_namespace_mkldnn_reorder_conv2d_weight_out_out_Tensor_self_Tensor <- f
     .Call(`_torch_cpp_torch_namespace_mkldnn_reorder_conv2d_weight_out_out_Tensor_self_Tensor`, out, self, padding, stride, dilation, groups, input_size)
 }
 
-cpp_torch_namespace_mkldnn_reorder_conv3d_weight_out_out_Tensor_self_Tensor <- function(out, self, padding, stride, dilation, groups) {
-    .Call(`_torch_cpp_torch_namespace_mkldnn_reorder_conv3d_weight_out_out_Tensor_self_Tensor`, out, self, padding, stride, dilation, groups)
+cpp_torch_namespace_mkldnn_reorder_conv3d_weight_out_out_Tensor_self_Tensor <- function(out, self, padding, stride, dilation, groups, input_size) {
+    .Call(`_torch_cpp_torch_namespace_mkldnn_reorder_conv3d_weight_out_out_Tensor_self_Tensor`, out, self, padding, stride, dilation, groups, input_size)
 }
 
 cpp_torch_namespace_quantize_per_tensor_dynamic_out_out_Tensor_self_Tensor_dtype_ScalarType_reduce_range_bool <- function(out, self, dtype, reduce_range) {
@@ -13697,10 +14233,6 @@ cpp_torch_namespace_remainder_out_out_Tensor_self_Scalar_other_Tensor <- functio
     .Call(`_torch_cpp_torch_namespace_remainder_out_out_Tensor_self_Scalar_other_Tensor`, out, self, other)
 }
 
-cpp_torch_namespace_argsort_out_out_Tensor_self_Tensor_stable_bool <- function(out, self, stable, dim, descending) {
-    .Call(`_torch_cpp_torch_namespace_argsort_out_out_Tensor_self_Tensor_stable_bool`, out, self, stable, dim, descending)
-}
-
 cpp_torch_namespace_unfold_backward_out_out_Tensor_grad_in_Tensor_input_sizes_IntArrayRef_dim_int64_t_size_int64_t_step_int64_t <- function(out, grad_in, input_sizes, dim, size, step) {
     .Call(`_torch_cpp_torch_namespace_unfold_backward_out_out_Tensor_grad_in_Tensor_input_sizes_IntArrayRef_dim_int64_t_size_int64_t_step_int64_t`, out, grad_in, input_sizes, dim, size, step)
 }
@@ -13729,112 +14261,132 @@ cpp_torch_namespace__foreach_add_out_out_TensorList_self_TensorList_scalar_Scala
     invisible(.Call(`_torch_cpp_torch_namespace__foreach_add_out_out_TensorList_self_TensorList_scalar_Scalar`, out, self, scalar))
 }
 
-cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_scalar_Scalar <- function(out, self, scalar) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_scalar_Scalar`, out, self, scalar))
+cpp_torch_namespace__foreach_add_out_out_TensorList_self_TensorList_other_TensorList <- function(out, self, other, alpha) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_add_out_out_TensorList_self_TensorList_other_TensorList`, out, self, other, alpha))
 }
 
-cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_scalar_Scalar <- function(out, self, scalar) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_scalar_Scalar`, out, self, scalar))
+cpp_torch_namespace__foreach_add_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar <- function(out, self, scalars) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_add_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar`, out, self, scalars))
 }
 
-cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_scalar_Scalar <- function(out, self, scalar) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_scalar_Scalar`, out, self, scalar))
+cpp_torch_namespace__foreach_add_out_out_TensorList_self_TensorList_other_Tensor <- function(out, self, other, alpha) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_add_out_out_TensorList_self_TensorList_other_Tensor`, out, self, other, alpha))
 }
 
-cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_scalar_Scalar <- function(out, self, scalar) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_scalar_Scalar`, out, self, scalar))
+cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_scalar_Scalar <- function(out, self, scalar) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_scalar_Scalar`, out, self, scalar))
 }
 
-cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_scalar_Scalar <- function(out, self, scalar) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_scalar_Scalar`, out, self, scalar))
+cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_other_TensorList <- function(out, self, other, alpha) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_other_TensorList`, out, self, other, alpha))
 }
 
-cpp_torch_namespace__foreach_maximum_out_out_TensorList_self_TensorList_scalar_Scalar <- function(out, self, scalar) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_maximum_out_out_TensorList_self_TensorList_scalar_Scalar`, out, self, scalar))
+cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar <- function(out, self, scalars) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar`, out, self, scalars))
 }
 
-cpp_torch_namespace__foreach_minimum_out_out_TensorList_self_TensorList_scalar_Scalar <- function(out, self, scalar) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_minimum_out_out_TensorList_self_TensorList_scalar_Scalar`, out, self, scalar))
+cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_scalar_Scalar <- function(out, self, scalar) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_scalar_Scalar`, out, self, scalar))
 }
 
-cpp_torch_namespace__foreach_add_out_out_TensorList_self_TensorList_other_TensorList <- function(out, self, other, alpha) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_add_out_out_TensorList_self_TensorList_other_TensorList`, out, self, other, alpha))
+cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_other_TensorList <- function(out, self, other) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_other_TensorList`, out, self, other))
 }
 
-cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_other_TensorList <- function(out, self, other, alpha) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_other_TensorList`, out, self, other, alpha))
+cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar <- function(out, self, scalars) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar`, out, self, scalars))
 }
 
-cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_other_TensorList <- function(out, self, other) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_other_TensorList`, out, self, other))
+cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_other_Tensor <- function(out, self, other) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_other_Tensor`, out, self, other))
 }
 
-cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_other_TensorList <- function(out, self, other) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_other_TensorList`, out, self, other))
+cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_scalar_Scalar <- function(out, self, scalar) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_scalar_Scalar`, out, self, scalar))
 }
 
-cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_other_TensorList <- function(out, self, other) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_other_TensorList`, out, self, other))
+cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_other_TensorList <- function(out, self, other) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_other_TensorList`, out, self, other))
 }
 
-cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_other_TensorList <- function(out, self, other) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_other_TensorList`, out, self, other))
+cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar <- function(out, self, scalars) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar`, out, self, scalars))
 }
 
-cpp_torch_namespace__foreach_maximum_out_out_TensorList_self_TensorList_other_TensorList <- function(out, self, other) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_maximum_out_out_TensorList_self_TensorList_other_TensorList`, out, self, other))
+cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_other_Tensor <- function(out, self, other) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_other_Tensor`, out, self, other))
 }
 
-cpp_torch_namespace__foreach_minimum_out_out_TensorList_self_TensorList_other_TensorList <- function(out, self, other) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_minimum_out_out_TensorList_self_TensorList_other_TensorList`, out, self, other))
+cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_scalar_Scalar <- function(out, self, scalar) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_scalar_Scalar`, out, self, scalar))
 }
 
-cpp_torch_namespace__foreach_add_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar <- function(out, self, scalars) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_add_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar`, out, self, scalars))
+cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_other_TensorList <- function(out, self, other) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_other_TensorList`, out, self, other))
 }
 
-cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar <- function(out, self, scalars) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar`, out, self, scalars))
+cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar <- function(out, self, scalars) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar`, out, self, scalars))
 }
 
-cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar <- function(out, self, scalars) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar`, out, self, scalars))
+cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_scalar_Scalar <- function(out, self, scalar) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_scalar_Scalar`, out, self, scalar))
 }
 
-cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar <- function(out, self, scalars) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar`, out, self, scalars))
+cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_other_TensorList <- function(out, self, other) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_other_TensorList`, out, self, other))
 }
 
 cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar <- function(out, self, scalars) {
     invisible(.Call(`_torch_cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar`, out, self, scalars))
 }
 
-cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar <- function(out, self, scalars) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar`, out, self, scalars))
+cpp_torch_namespace__foreach_maximum_out_out_TensorList_self_TensorList_scalar_Scalar <- function(out, self, scalar) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_maximum_out_out_TensorList_self_TensorList_scalar_Scalar`, out, self, scalar))
+}
+
+cpp_torch_namespace__foreach_maximum_out_out_TensorList_self_TensorList_other_TensorList <- function(out, self, other) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_maximum_out_out_TensorList_self_TensorList_other_TensorList`, out, self, other))
 }
 
 cpp_torch_namespace__foreach_maximum_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar <- function(out, self, scalars) {
     invisible(.Call(`_torch_cpp_torch_namespace__foreach_maximum_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar`, out, self, scalars))
 }
 
+cpp_torch_namespace__foreach_minimum_out_out_TensorList_self_TensorList_scalar_Scalar <- function(out, self, scalar) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_minimum_out_out_TensorList_self_TensorList_scalar_Scalar`, out, self, scalar))
+}
+
+cpp_torch_namespace__foreach_minimum_out_out_TensorList_self_TensorList_other_TensorList <- function(out, self, other) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_minimum_out_out_TensorList_self_TensorList_other_TensorList`, out, self, other))
+}
+
 cpp_torch_namespace__foreach_minimum_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar <- function(out, self, scalars) {
     invisible(.Call(`_torch_cpp_torch_namespace__foreach_minimum_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar`, out, self, scalars))
 }
 
-cpp_torch_namespace__foreach_exp_out_out_TensorList_self_TensorList <- function(out, self) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_exp_out_out_TensorList_self_TensorList`, out, self))
+cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList <- function(out, self, tensor1, tensor2, value) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList`, out, self, tensor1, tensor2, value))
 }
 
-cpp_torch_namespace__foreach_zero_out_out_TensorList_self_TensorList <- function(out, self) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_zero_out_out_TensorList_self_TensorList`, out, self))
+cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar <- function(out, self, tensor1, tensor2, scalars) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar`, out, self, tensor1, tensor2, scalars))
 }
 
-cpp_torch_namespace__foreach_zero_self_TensorList <- function(self) {
-    .Call(`_torch_cpp_torch_namespace__foreach_zero_self_TensorList`, self)
+cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor <- function(out, self, tensor1, tensor2, scalars) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor`, out, self, tensor1, tensor2, scalars))
 }
 
-cpp_torch_namespace__foreach_sqrt_out_out_TensorList_self_TensorList <- function(out, self) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_sqrt_out_out_TensorList_self_TensorList`, out, self))
+cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList <- function(out, self, tensor1, tensor2, value) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList`, out, self, tensor1, tensor2, value))
+}
+
+cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar <- function(out, self, tensor1, tensor2, scalars) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar`, out, self, tensor1, tensor2, scalars))
+}
+
+cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor <- function(out, self, tensor1, tensor2, scalars) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor`, out, self, tensor1, tensor2, scalars))
 }
 
 cpp_torch_namespace__foreach_abs_out_out_TensorList_self_TensorList <- function(out, self) {
@@ -13873,6 +14425,10 @@ cpp_torch_namespace__foreach_erfc_out_out_TensorList_self_TensorList <- function
     invisible(.Call(`_torch_cpp_torch_namespace__foreach_erfc_out_out_TensorList_self_TensorList`, out, self))
 }
 
+cpp_torch_namespace__foreach_exp_out_out_TensorList_self_TensorList <- function(out, self) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_exp_out_out_TensorList_self_TensorList`, out, self))
+}
+
 cpp_torch_namespace__foreach_expm1_out_out_TensorList_self_TensorList <- function(out, self) {
     invisible(.Call(`_torch_cpp_torch_namespace__foreach_expm1_out_out_TensorList_self_TensorList`, out, self))
 }
@@ -13881,6 +14437,22 @@ cpp_torch_namespace__foreach_floor_out_out_TensorList_self_TensorList <- functio
     invisible(.Call(`_torch_cpp_torch_namespace__foreach_floor_out_out_TensorList_self_TensorList`, out, self))
 }
 
+cpp_torch_namespace__foreach_frac_out_out_TensorList_self_TensorList <- function(out, self) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_frac_out_out_TensorList_self_TensorList`, out, self))
+}
+
+cpp_torch_namespace__foreach_lerp_out_out_TensorList_self_TensorList_tensors1_TensorList_weights_TensorList <- function(out, self, tensors1, weights) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_lerp_out_out_TensorList_self_TensorList_tensors1_TensorList_weights_TensorList`, out, self, tensors1, weights))
+}
+
+cpp_torch_namespace__foreach_lerp_out_out_TensorList_self_TensorList_tensors1_TensorList_weight_Scalar <- function(out, self, tensors1, weight) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_lerp_out_out_TensorList_self_TensorList_tensors1_TensorList_weight_Scalar`, out, self, tensors1, weight))
+}
+
+cpp_torch_namespace__foreach_lgamma_out_out_TensorList_self_TensorList <- function(out, self) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_lgamma_out_out_TensorList_self_TensorList`, out, self))
+}
+
 cpp_torch_namespace__foreach_log_out_out_TensorList_self_TensorList <- function(out, self) {
     invisible(.Call(`_torch_cpp_torch_namespace__foreach_log_out_out_TensorList_self_TensorList`, out, self))
 }
@@ -13897,94 +14469,86 @@ cpp_torch_namespace__foreach_log2_out_out_TensorList_self_TensorList <- function
     invisible(.Call(`_torch_cpp_torch_namespace__foreach_log2_out_out_TensorList_self_TensorList`, out, self))
 }
 
-cpp_torch_namespace__foreach_neg_out_out_TensorList_self_TensorList <- function(out, self) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_neg_out_out_TensorList_self_TensorList`, out, self))
-}
-
-cpp_torch_namespace__foreach_tan_out_out_TensorList_self_TensorList <- function(out, self) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_tan_out_out_TensorList_self_TensorList`, out, self))
-}
-
-cpp_torch_namespace__foreach_tanh_out_out_TensorList_self_TensorList <- function(out, self) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_tanh_out_out_TensorList_self_TensorList`, out, self))
+cpp_torch_namespace__foreach_max_out_out_TensorList_self_TensorList <- function(out, self) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_max_out_out_TensorList_self_TensorList`, out, self))
 }
 
-cpp_torch_namespace__foreach_sin_out_out_TensorList_self_TensorList <- function(out, self) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_sin_out_out_TensorList_self_TensorList`, out, self))
+cpp_torch_namespace__foreach_neg_out_out_TensorList_self_TensorList <- function(out, self) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_neg_out_out_TensorList_self_TensorList`, out, self))
 }
 
-cpp_torch_namespace__foreach_sinh_out_out_TensorList_self_TensorList <- function(out, self) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_sinh_out_out_TensorList_self_TensorList`, out, self))
+cpp_torch_namespace__foreach_norm_out_out_TensorList_self_TensorList <- function(out, self, ord, dtype) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_norm_out_out_TensorList_self_TensorList`, out, self, ord, dtype))
 }
 
-cpp_torch_namespace__foreach_round_out_out_TensorList_self_TensorList <- function(out, self) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_round_out_out_TensorList_self_TensorList`, out, self))
+cpp_torch_namespace__foreach_pow_out_out_TensorList_self_TensorList_exponent_TensorList <- function(out, self, exponent) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_pow_out_out_TensorList_self_TensorList_exponent_TensorList`, out, self, exponent))
 }
 
-cpp_torch_namespace__foreach_lgamma_out_out_TensorList_self_TensorList <- function(out, self) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_lgamma_out_out_TensorList_self_TensorList`, out, self))
+cpp_torch_namespace__foreach_pow_out_out_TensorList_self_TensorList_exponent_Scalar <- function(out, self, exponent) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_pow_out_out_TensorList_self_TensorList_exponent_Scalar`, out, self, exponent))
 }
 
-cpp_torch_namespace__foreach_frac_out_out_TensorList_self_TensorList <- function(out, self) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_frac_out_out_TensorList_self_TensorList`, out, self))
+cpp_torch_namespace__foreach_pow_out_out_TensorList_self_TensorList_exponent_ArrayRefScalar <- function(out, self, exponent) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_pow_out_out_TensorList_self_TensorList_exponent_ArrayRefScalar`, out, self, exponent))
 }
 
 cpp_torch_namespace__foreach_reciprocal_out_out_TensorList_self_TensorList <- function(out, self) {
     invisible(.Call(`_torch_cpp_torch_namespace__foreach_reciprocal_out_out_TensorList_self_TensorList`, out, self))
 }
 
+cpp_torch_namespace__foreach_round_out_out_TensorList_self_TensorList <- function(out, self) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_round_out_out_TensorList_self_TensorList`, out, self))
+}
+
 cpp_torch_namespace__foreach_sigmoid_out_out_TensorList_self_TensorList <- function(out, self) {
     invisible(.Call(`_torch_cpp_torch_namespace__foreach_sigmoid_out_out_TensorList_self_TensorList`, out, self))
 }
 
-cpp_torch_namespace__foreach_trunc_out_out_TensorList_self_TensorList <- function(out, self) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_trunc_out_out_TensorList_self_TensorList`, out, self))
+cpp_torch_namespace__foreach_sign_out_out_TensorList_self_TensorList <- function(out, self) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_sign_out_out_TensorList_self_TensorList`, out, self))
 }
 
-cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList <- function(out, self, tensor1, tensor2, value) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList`, out, self, tensor1, tensor2, value))
+cpp_torch_namespace__foreach_sin_out_out_TensorList_self_TensorList <- function(out, self) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_sin_out_out_TensorList_self_TensorList`, out, self))
 }
 
-cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList <- function(out, self, tensor1, tensor2, value) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList`, out, self, tensor1, tensor2, value))
+cpp_torch_namespace__foreach_sinh_out_out_TensorList_self_TensorList <- function(out, self) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_sinh_out_out_TensorList_self_TensorList`, out, self))
 }
 
-cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar <- function(out, self, tensor1, tensor2, scalars) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar`, out, self, tensor1, tensor2, scalars))
+cpp_torch_namespace__foreach_sqrt_out_out_TensorList_self_TensorList <- function(out, self) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_sqrt_out_out_TensorList_self_TensorList`, out, self))
 }
 
-cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor <- function(out, self, tensor1, tensor2, scalars) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor`, out, self, tensor1, tensor2, scalars))
+cpp_torch_namespace__foreach_tan_out_out_TensorList_self_TensorList <- function(out, self) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_tan_out_out_TensorList_self_TensorList`, out, self))
 }
 
-cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar <- function(out, self, tensor1, tensor2, scalars) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar`, out, self, tensor1, tensor2, scalars))
+cpp_torch_namespace__foreach_tanh_out_out_TensorList_self_TensorList <- function(out, self) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_tanh_out_out_TensorList_self_TensorList`, out, self))
 }
 
-cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor <- function(out, self, tensor1, tensor2, scalars) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor`, out, self, tensor1, tensor2, scalars))
+cpp_torch_namespace__foreach_trunc_out_out_TensorList_self_TensorList <- function(out, self) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_trunc_out_out_TensorList_self_TensorList`, out, self))
 }
 
-cpp_torch_namespace__foreach_norm_out_out_TensorList_self_TensorList <- function(out, self, ord) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_norm_out_out_TensorList_self_TensorList`, out, self, ord))
+cpp_torch_namespace__foreach_zero_out_out_TensorList_self_TensorList <- function(out, self) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_zero_out_out_TensorList_self_TensorList`, out, self))
 }
 
-cpp_torch_namespace__foreach_lerp_out_out_TensorList_self_TensorList_tensors1_TensorList_weights_TensorList <- function(out, self, tensors1, weights) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_lerp_out_out_TensorList_self_TensorList_tensors1_TensorList_weights_TensorList`, out, self, tensors1, weights))
+cpp_torch_namespace__foreach_zero_self_TensorList <- function(self) {
+    .Call(`_torch_cpp_torch_namespace__foreach_zero_self_TensorList`, self)
 }
 
-cpp_torch_namespace__foreach_lerp_out_out_TensorList_self_TensorList_tensors1_TensorList_weight_Scalar <- function(out, self, tensors1, weight) {
-    invisible(.Call(`_torch_cpp_torch_namespace__foreach_lerp_out_out_TensorList_self_TensorList_tensors1_TensorList_weight_Scalar`, out, self, tensors1, weight))
+cpp_torch_namespace__foreach_copy_out_out_TensorList_self_TensorList_src_TensorList <- function(out, self, src, non_blocking) {
+    invisible(.Call(`_torch_cpp_torch_namespace__foreach_copy_out_out_TensorList_self_TensorList_src_TensorList`, out, self, src, non_blocking))
 }
 
 cpp_torch_namespace_bucketize_out_out_Tensor_self_Scalar_boundaries_Tensor <- function(out, self, boundaries, out_int32, right) {
     .Call(`_torch_cpp_torch_namespace_bucketize_out_out_Tensor_self_Scalar_boundaries_Tensor`, out, self, boundaries, out_int32, right)
 }
 
-cpp_torch_namespace_searchsorted_out_out_Tensor_sorted_sequence_Tensor_self_Scalar <- function(out, sorted_sequence, self, out_int32, right, side, sorter) {
-    .Call(`_torch_cpp_torch_namespace_searchsorted_out_out_Tensor_sorted_sequence_Tensor_self_Scalar`, out, sorted_sequence, self, out_int32, right, side, sorter)
-}
-
 cpp_torch_namespace_glu_jvp_out_out_Tensor_glu_Tensor_x_Tensor_dx_Tensor_dim_int64_t <- function(out, glu, x, dx, dim) {
     .Call(`_torch_cpp_torch_namespace_glu_jvp_out_out_Tensor_glu_Tensor_x_Tensor_dx_Tensor_dim_int64_t`, out, glu, x, dx, dim)
 }
@@ -14233,14 +14797,6 @@ cpp_torch_namespace__triton_multi_head_attention_out_out_Tensor_query_Tensor_key
     .Call(`_torch_cpp_torch_namespace__triton_multi_head_attention_out_out_Tensor_query_Tensor_key_Tensor_value_Tensor_embed_dim_int64_t_num_head_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor`, out, query, key, value, embed_dim, num_head, qkv_weight, qkv_bias, proj_weight, proj_bias, mask)
 }
 
-cpp_torch_namespace__transformer_decoder_only_layer_fwd_out_out0_Tensor_out1_Tensor_out2_Tensor_src_Tensor_embed_dim_int64_t_num_heads_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor_use_gelu_bool_norm_first_bool_eps_double_norm_weight_1_Tensor_norm_bias_1_Tensor_norm_weight_2_Tensor_norm_bias_2_Tensor_ffn_weight_1_Tensor_ffn_bias_1_Tensor_ffn_weight_2_Tensor_ffn_bias_2_Tensor <- function(out0, out1, out2, src, embed_dim, num_heads, qkv_weight, qkv_bias, proj_weight, proj_bias, use_gelu, norm_first, eps, norm_weight_1, norm_bias_1, norm_weight_2, norm_bias_2, ffn_weight_1, ffn_bias_1, ffn_weight_2, ffn_bias_2, mask, incr_key, incr_value) {
-    .Call(`_torch_cpp_torch_namespace__transformer_decoder_only_layer_fwd_out_out0_Tensor_out1_Tensor_out2_Tensor_src_Tensor_embed_dim_int64_t_num_heads_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor_use_gelu_bool_norm_first_bool_eps_double_norm_weight_1_Tensor_norm_bias_1_Tensor_norm_weight_2_Tensor_norm_bias_2_Tensor_ffn_weight_1_Tensor_ffn_bias_1_Tensor_ffn_weight_2_Tensor_ffn_bias_2_Tensor`, out0, out1, out2, src, embed_dim, num_heads, qkv_weight, qkv_bias, proj_weight, proj_bias, use_gelu, norm_first, eps, norm_weight_1, norm_bias_1, norm_weight_2, norm_bias_2, ffn_weight_1, ffn_bias_1, ffn_weight_2, ffn_bias_2, mask, incr_key, incr_value)
-}
-
-cpp_torch_namespace__native_decoder_only_multi_head_attention_out_out0_Tensor_out1_Tensor_out2_Tensor_out3_Tensor_query_Tensor_key_Tensor_value_Tensor_embed_dim_int64_t_num_head_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor <- function(out0, out1, out2, out3, query, key, value, embed_dim, num_head, qkv_weight, qkv_bias, proj_weight, proj_bias, mask, incr_key, incr_value, need_weights, average_attn_weights) {
-    .Call(`_torch_cpp_torch_namespace__native_decoder_only_multi_head_attention_out_out0_Tensor_out1_Tensor_out2_Tensor_out3_Tensor_query_Tensor_key_Tensor_value_Tensor_embed_dim_int64_t_num_head_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor`, out0, out1, out2, out3, query, key, value, embed_dim, num_head, qkv_weight, qkv_bias, proj_weight, proj_bias, mask, incr_key, incr_value, need_weights, average_attn_weights)
-}
-
 cpp_torch_namespace__foobar_out_out_Tensor_self_Tensor <- function(out, self, arg1, arg2, arg3) {
     .Call(`_torch_cpp_torch_namespace__foobar_out_out_Tensor_self_Tensor`, out, self, arg1, arg2, arg3)
 }
@@ -14253,6 +14809,14 @@ cpp_torch_namespace__fused_adam_self_TensorList_grads_TensorList_exp_avgs_Tensor
     .Call(`_torch_cpp_torch_namespace__fused_adam_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_double_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool`, self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf)
 }
 
+cpp_torch_namespace__fused_adam_out_out_TensorList_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool <- function(out, self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf) {
+    invisible(.Call(`_torch_cpp_torch_namespace__fused_adam_out_out_TensorList_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool`, out, self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf))
+}
+
+cpp_torch_namespace__fused_adam_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool <- function(self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf) {
+    .Call(`_torch_cpp_torch_namespace__fused_adam_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool`, self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf)
+}
+
 cpp_torch_namespace__fused_adamw_out_out_TensorList_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_double_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool <- function(out, self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf) {
     invisible(.Call(`_torch_cpp_torch_namespace__fused_adamw_out_out_TensorList_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_double_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool`, out, self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf))
 }
@@ -14261,6 +14825,38 @@ cpp_torch_namespace__fused_adamw_self_TensorList_grads_TensorList_exp_avgs_Tenso
     .Call(`_torch_cpp_torch_namespace__fused_adamw_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_double_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool`, self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf)
 }
 
+cpp_torch_namespace__fused_adamw_out_out_TensorList_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool <- function(out, self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf) {
+    invisible(.Call(`_torch_cpp_torch_namespace__fused_adamw_out_out_TensorList_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool`, out, self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf))
+}
+
+cpp_torch_namespace__fused_adamw_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool <- function(self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf) {
+    .Call(`_torch_cpp_torch_namespace__fused_adamw_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool`, self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf)
+}
+
+cpp_torch_namespace__fused_sgd_out_out_TensorList_self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_double_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool <- function(out, self, grads, momentum_buffer_list, weight_decay, momentum, lr, dampening, nesterov, maximize, is_first_step, grad_scale, found_inf) {
+    invisible(.Call(`_torch_cpp_torch_namespace__fused_sgd_out_out_TensorList_self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_double_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool`, out, self, grads, momentum_buffer_list, weight_decay, momentum, lr, dampening, nesterov, maximize, is_first_step, grad_scale, found_inf))
+}
+
+cpp_torch_namespace__fused_sgd_self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_double_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool <- function(self, grads, momentum_buffer_list, weight_decay, momentum, lr, dampening, nesterov, maximize, is_first_step, grad_scale, found_inf) {
+    .Call(`_torch_cpp_torch_namespace__fused_sgd_self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_double_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool`, self, grads, momentum_buffer_list, weight_decay, momentum, lr, dampening, nesterov, maximize, is_first_step, grad_scale, found_inf)
+}
+
+cpp_torch_namespace__fused_sgd_out_out_TensorList_self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_Tensor_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool <- function(out, self, grads, momentum_buffer_list, weight_decay, momentum, lr, dampening, nesterov, maximize, is_first_step, grad_scale, found_inf) {
+    invisible(.Call(`_torch_cpp_torch_namespace__fused_sgd_out_out_TensorList_self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_Tensor_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool`, out, self, grads, momentum_buffer_list, weight_decay, momentum, lr, dampening, nesterov, maximize, is_first_step, grad_scale, found_inf))
+}
+
+cpp_torch_namespace__fused_sgd_self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_Tensor_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool <- function(self, grads, momentum_buffer_list, weight_decay, momentum, lr, dampening, nesterov, maximize, is_first_step, grad_scale, found_inf) {
+    .Call(`_torch_cpp_torch_namespace__fused_sgd_self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_Tensor_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool`, self, grads, momentum_buffer_list, weight_decay, momentum, lr, dampening, nesterov, maximize, is_first_step, grad_scale, found_inf)
+}
+
+cpp_torch_namespace__fused_adagrad_out_out_TensorList_self_TensorList_grads_TensorList_state_sums_TensorList_state_steps_TensorList_lr_double_lr_decay_double_weight_decay_double_eps_double_maximize_bool <- function(out, self, grads, state_sums, state_steps, lr, lr_decay, weight_decay, eps, maximize, grad_scale, found_inf) {
+    invisible(.Call(`_torch_cpp_torch_namespace__fused_adagrad_out_out_TensorList_self_TensorList_grads_TensorList_state_sums_TensorList_state_steps_TensorList_lr_double_lr_decay_double_weight_decay_double_eps_double_maximize_bool`, out, self, grads, state_sums, state_steps, lr, lr_decay, weight_decay, eps, maximize, grad_scale, found_inf))
+}
+
+cpp_torch_namespace__fused_adagrad_self_TensorList_grads_TensorList_state_sums_TensorList_state_steps_TensorList_lr_double_lr_decay_double_weight_decay_double_eps_double_maximize_bool <- function(self, grads, state_sums, state_steps, lr, lr_decay, weight_decay, eps, maximize, grad_scale, found_inf) {
+    .Call(`_torch_cpp_torch_namespace__fused_adagrad_self_TensorList_grads_TensorList_state_sums_TensorList_state_steps_TensorList_lr_double_lr_decay_double_weight_decay_double_eps_double_maximize_bool`, self, grads, state_sums, state_steps, lr, lr_decay, weight_decay, eps, maximize, grad_scale, found_inf)
+}
+
 cpp_torch_generator <- function() {
     .Call(`_torch_cpp_torch_generator`)
 }
diff --git a/R/gen-method.R b/R/gen-method.R
index 6ca8fd6a9d..e88be8b8d9 100644
--- a/R/gen-method.R
+++ b/R/gen-method.R
@@ -316,26 +316,26 @@ call_c_function(
   return_types = return_types,
   fun_type = 'method'
 )})
-Tensor$set("public", "_neg_view", function() {  args <- list()
+Tensor$set("public", "_lazy_clone", function() {  args <- list()
 args <- c(list(self = self), args)
 expected_types <- list(self = "Tensor")
 nd_args <- "self"
 return_types <- list(list('Tensor'))
 call_c_function(
-  fun_name = '_neg_view',
+  fun_name = '_lazy_clone',
   args = args,
   expected_types = expected_types,
   nd_args = nd_args,
   return_types = return_types,
   fun_type = 'method'
 )})
-Tensor$set("public", "_nested_tensor_offsets", function() {  args <- list()
+Tensor$set("public", "_neg_view", function() {  args <- list()
 args <- c(list(self = self), args)
 expected_types <- list(self = "Tensor")
 nd_args <- "self"
-return_types <- list(list('IntArrayRef'))
+return_types <- list(list('Tensor'))
 call_c_function(
-  fun_name = '_nested_tensor_offsets',
+  fun_name = '_neg_view',
   args = args,
   expected_types = expected_types,
   nd_args = nd_args,
@@ -355,6 +355,19 @@ call_c_function(
   return_types = return_types,
   fun_type = 'method'
 )})
+Tensor$set("public", "_nested_tensor_storage_offsets", function() {  args <- list()
+args <- c(list(self = self), args)
+expected_types <- list(self = "Tensor")
+nd_args <- "self"
+return_types <- list(list('Tensor'))
+call_c_function(
+  fun_name = '_nested_tensor_storage_offsets',
+  args = args,
+  expected_types = expected_types,
+  nd_args = nd_args,
+  return_types = return_types,
+  fun_type = 'method'
+)})
 Tensor$set("public", "_nested_tensor_strides", function() {  args <- list()
 args <- c(list(self = self), args)
 expected_types <- list(self = "Tensor")
@@ -394,9 +407,22 @@ call_c_function(
   return_types = return_types,
   fun_type = 'method'
 )})
-Tensor$set("public", "_to_dense", function(dtype = NULL) {  args <- mget(x = c("dtype"))
+Tensor$set("public", "_sparse_mask_projection", function(mask, accumulate_matches = FALSE) {  args <- mget(x = c("mask", "accumulate_matches"))
 args <- c(list(self = self), args)
-expected_types <- list(self = "Tensor", dtype = "ScalarType")
+expected_types <- list(self = "Tensor", mask = "Tensor", accumulate_matches = "bool")
+nd_args <- c("self", "mask")
+return_types <- list(list('Tensor'))
+call_c_function(
+  fun_name = '_sparse_mask_projection',
+  args = args,
+  expected_types = expected_types,
+  nd_args = nd_args,
+  return_types = return_types,
+  fun_type = 'method'
+)})
+Tensor$set("public", "_to_dense", function(dtype = NULL, masked_grad = NULL) {  args <- mget(x = c("dtype", "masked_grad"))
+args <- c(list(self = self), args)
+expected_types <- list(self = "Tensor", dtype = "ScalarType", masked_grad = "bool")
 nd_args <- "self"
 return_types <- list(list('Tensor'))
 call_c_function(
@@ -407,6 +433,72 @@ call_c_function(
   return_types = return_types,
   fun_type = 'method'
 )})
+Tensor$set("public", "_to_sparse", function(layout = NULL, sparse_dim, blocksize = NULL, dense_dim = NULL) {  args <- mget(x = c("layout", "sparse_dim", "blocksize", "dense_dim"))
+args <- c(list(self = self), args)
+expected_types <- list(self = "Tensor", layout = "Layout", sparse_dim = "int64_t", 
+    blocksize = "IntArrayRef", dense_dim = "int64_t")
+nd_args <- c("self", "sparse_dim")
+return_types <- list(list('Tensor'))
+call_c_function(
+  fun_name = '_to_sparse',
+  args = args,
+  expected_types = expected_types,
+  nd_args = nd_args,
+  return_types = return_types,
+  fun_type = 'method'
+)})
+Tensor$set("public", "_to_sparse_bsc", function(blocksize, dense_dim = NULL) {  args <- mget(x = c("blocksize", "dense_dim"))
+args <- c(list(self = self), args)
+expected_types <- list(self = "Tensor", blocksize = "IntArrayRef", dense_dim = "int64_t")
+nd_args <- c("self", "blocksize")
+return_types <- list(list('Tensor'))
+call_c_function(
+  fun_name = '_to_sparse_bsc',
+  args = args,
+  expected_types = expected_types,
+  nd_args = nd_args,
+  return_types = return_types,
+  fun_type = 'method'
+)})
+Tensor$set("public", "_to_sparse_bsr", function(blocksize, dense_dim = NULL) {  args <- mget(x = c("blocksize", "dense_dim"))
+args <- c(list(self = self), args)
+expected_types <- list(self = "Tensor", blocksize = "IntArrayRef", dense_dim = "int64_t")
+nd_args <- c("self", "blocksize")
+return_types <- list(list('Tensor'))
+call_c_function(
+  fun_name = '_to_sparse_bsr',
+  args = args,
+  expected_types = expected_types,
+  nd_args = nd_args,
+  return_types = return_types,
+  fun_type = 'method'
+)})
+Tensor$set("public", "_to_sparse_csc", function(dense_dim = NULL) {  args <- mget(x = c("dense_dim"))
+args <- c(list(self = self), args)
+expected_types <- list(self = "Tensor", dense_dim = "int64_t")
+nd_args <- "self"
+return_types <- list(list('Tensor'))
+call_c_function(
+  fun_name = '_to_sparse_csc',
+  args = args,
+  expected_types = expected_types,
+  nd_args = nd_args,
+  return_types = return_types,
+  fun_type = 'method'
+)})
+Tensor$set("public", "_to_sparse_csr", function(dense_dim = NULL) {  args <- mget(x = c("dense_dim"))
+args <- c(list(self = self), args)
+expected_types <- list(self = "Tensor", dense_dim = "int64_t")
+nd_args <- "self"
+return_types <- list(list('Tensor'))
+call_c_function(
+  fun_name = '_to_sparse_csr',
+  args = args,
+  expected_types = expected_types,
+  nd_args = nd_args,
+  return_types = return_types,
+  fun_type = 'method'
+)})
 Tensor$set("public", "_values", function() {  args <- list()
 args <- c(list(self = self), args)
 expected_types <- list(self = "Tensor")
@@ -784,9 +876,10 @@ call_c_function(
   return_types = return_types,
   fun_type = 'method'
 )})
-Tensor$set("public", "all", function(dim, keepdim = FALSE) {  args <- mget(x = c("dim", "keepdim"))
+Tensor$set("public", "all", function(dim = NULL, keepdim = FALSE) {  args <- mget(x = c("dim", "keepdim"))
 args <- c(list(self = self), args)
-expected_types <- list(self = "Tensor", dim = c("int64_t", "Dimname"), keepdim = "bool")
+expected_types <- list(self = "Tensor", dim = c("int64_t", "IntArrayRef", "Dimname"
+), keepdim = "bool")
 nd_args <- c("self", "dim")
 return_types <- list(list('Tensor'))
 call_c_function(
@@ -863,9 +956,10 @@ call_c_function(
   return_types = return_types,
   fun_type = 'method'
 )})
-Tensor$set("public", "any", function(dim, keepdim = FALSE) {  args <- mget(x = c("dim", "keepdim"))
+Tensor$set("public", "any", function(dim = NULL, keepdim = FALSE) {  args <- mget(x = c("dim", "keepdim"))
 args <- c(list(self = self), args)
-expected_types <- list(self = "Tensor", dim = c("int64_t", "Dimname"), keepdim = "bool")
+expected_types <- list(self = "Tensor", dim = c("int64_t", "IntArrayRef", "Dimname"
+), keepdim = "bool")
 nd_args <- c("self", "dim")
 return_types <- list(list('Tensor'))
 call_c_function(
@@ -3274,7 +3368,7 @@ call_c_function(
 )})
 Tensor$set("public", "index", function(indices) {  args <- mget(x = c("indices"))
 args <- c(list(self = self), args)
-expected_types <- list(self = "Tensor", indices = "const c10::List<c10::optional<Tensor>> &")
+expected_types <- list(self = "Tensor", indices = "const c10::List<::std::optional<Tensor>> &")
 nd_args <- c("self", "indices")
 return_types <- list(list('Tensor'))
 call_c_function(
@@ -3371,7 +3465,7 @@ call_c_function(
 )})
 Tensor$set("public", "index_put", function(indices, values, accumulate = FALSE) {  args <- mget(x = c("indices", "values", "accumulate"))
 args <- c(list(self = self), args)
-expected_types <- list(self = "Tensor", indices = "const c10::List<c10::optional<Tensor>> &", 
+expected_types <- list(self = "Tensor", indices = "const c10::List<::std::optional<Tensor>> &", 
     values = "Tensor", accumulate = "bool")
 nd_args <- c("self", "indices", "values")
 return_types <- list(list('Tensor'))
@@ -3385,7 +3479,7 @@ call_c_function(
 )})
 Tensor$set("public", "index_put_", function(indices, values, accumulate = FALSE) {  args <- mget(x = c("indices", "values", "accumulate"))
 args <- c(list(self = self), args)
-expected_types <- list(self = "Tensor", indices = "const c10::List<c10::optional<Tensor>> &", 
+expected_types <- list(self = "Tensor", indices = "const c10::List<::std::optional<Tensor>> &", 
     values = "Tensor", accumulate = "bool")
 nd_args <- c("self", "indices", "values")
 return_types <- list(list('Tensor'))
@@ -5059,6 +5153,19 @@ call_c_function(
   return_types = return_types,
   fun_type = 'method'
 )})
+Tensor$set("public", "nonzero_static", function(size, fill_value = -1L) {  args <- mget(x = c("size", "fill_value"))
+args <- c(list(self = self), args)
+expected_types <- list(self = "Tensor", size = "int64_t", fill_value = "int64_t")
+nd_args <- c("self", "size")
+return_types <- list(list('Tensor'))
+call_c_function(
+  fun_name = 'nonzero_static',
+  args = args,
+  expected_types = expected_types,
+  nd_args = nd_args,
+  return_types = return_types,
+  fun_type = 'method'
+)})
 Tensor$set("private", "_norm", function(p = 2L, dim, keepdim = FALSE, dtype) {  args <- mget(x = c("p", "dim", "keepdim", "dtype"))
 args <- c(list(self = self), args)
 expected_types <- list(self = "Tensor", p = "Scalar", dim = c("IntArrayRef", "DimnameList"
@@ -6215,6 +6322,20 @@ call_c_function(
   return_types = return_types,
   fun_type = 'method'
 )})
+Tensor$set("public", "slice_inverse", function(src, dim = 1L, start = NULL, end = NULL, step = 1L) {  args <- mget(x = c("src", "dim", "start", "end", "step"))
+args <- c(list(self = self), args)
+expected_types <- list(self = "Tensor", src = "Tensor", dim = "int64_t", start = "int64_t", 
+    end = "int64_t", step = "int64_t")
+nd_args <- c("self", "src")
+return_types <- list(list('Tensor'))
+call_c_function(
+  fun_name = 'slice_inverse',
+  args = args,
+  expected_types = expected_types,
+  nd_args = nd_args,
+  return_types = return_types,
+  fun_type = 'method'
+)})
 Tensor$set("public", "slice_scatter", function(src, dim = 1L, start = NULL, end = NULL, step = 1L) {  args <- mget(x = c("src", "dim", "start", "end", "step"))
 args <- c(list(self = self), args)
 expected_types <- list(self = "Tensor", src = "Tensor", dim = "int64_t", start = "int64_t", 
@@ -6791,9 +6912,9 @@ call_c_function(
   return_types = return_types,
   fun_type = 'method'
 )})
-Tensor$set("public", "to_dense", function(dtype = NULL) {  args <- mget(x = c("dtype"))
+Tensor$set("public", "to_dense", function(dtype = NULL, masked_grad = NULL) {  args <- mget(x = c("dtype", "masked_grad"))
 args <- c(list(self = self), args)
-expected_types <- list(self = "Tensor", dtype = "ScalarType")
+expected_types <- list(self = "Tensor", dtype = "ScalarType", masked_grad = "bool")
 nd_args <- "self"
 return_types <- list(list('Tensor'))
 call_c_function(
diff --git a/R/gen-namespace-docs.R b/R/gen-namespace-docs.R
index 9dcdd84f67..ad6550e6ce 100644
--- a/R/gen-namespace-docs.R
+++ b/R/gen-namespace-docs.R
@@ -4450,7 +4450,7 @@ NULL
 #' described in the type promotion documentation .
 #'
 #'
-#' @param from (dtype) The original `torch_dtype`.
+#' @param from_ (dtype) The original `torch_dtype`.
 #' @param to (dtype) The target `torch_dtype`.
 #'
 #' @name torch_can_cast
diff --git a/R/gen-namespace.R b/R/gen-namespace.R
index 9a80fd6f11..22c521607b 100644
--- a/R/gen-namespace.R
+++ b/R/gen-namespace.R
@@ -510,10 +510,10 @@ fun_type = 'namespace'
 
 
 #' @rdname torch__assert_async
-torch__assert_async <- function(self) {
-  args <- mget(x = c("self"))
-expected_types <- list(self = "Tensor")
-nd_args <- "self"
+torch__assert_async <- function(self, assert_msg) {
+  args <- mget(x = c("self", "assert_msg"))
+expected_types <- list(self = "Tensor", assert_msg = "c10::string_view")
+nd_args <- c("self", "assert_msg")
 return_types <- list(list("void"))
 call_c_function(
 fun_name = '_assert_async',
@@ -526,6 +526,23 @@ fun_type = 'namespace'
 }
 
 
+#' @rdname torch__assert_scalar
+torch__assert_scalar <- function(self, assert_msg) {
+  args <- mget(x = c("self", "assert_msg"))
+expected_types <- list(self = "Scalar", assert_msg = "c10::string_view")
+nd_args <- c("self", "assert_msg")
+return_types <- list(list("void"))
+call_c_function(
+fun_name = '_assert_scalar',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
 #' @rdname torch__assert_tensor_metadata
 torch__assert_tensor_metadata <- function(a, size = NULL, stride = NULL, dtype = NULL) {
   args <- mget(x = c("a", "size", "stride", "dtype"))
@@ -586,6 +603,104 @@ fun_type = 'namespace'
 }
 
 
+#' @rdname torch__batch_norm_no_update
+torch__batch_norm_no_update <- function(input, weight, bias, running_mean, running_var, momentum, eps) {
+  args <- mget(x = c("input", "weight", "bias", "running_mean", "running_var", "momentum", "eps"))
+expected_types <- list(input = "Tensor", weight = "Tensor", bias = "Tensor", running_mean = "Tensor", 
+    running_var = "Tensor", momentum = "double", eps = "double")
+nd_args <- c("input", "weight", "bias", "running_mean", "running_var", "momentum", 
+"eps")
+return_types <- list(list("Tensor", "Tensor", "Tensor", "Tensor"))
+call_c_function(
+fun_name = '_batch_norm_no_update',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__batch_norm_no_update_out
+torch__batch_norm_no_update_out <- function(out0, out1, out2, out3, input, weight, bias, running_mean, running_var, momentum, eps) {
+  args <- mget(x = c("out0", "out1", "out2", "out3", "input", "weight", "bias", "running_mean", "running_var", "momentum", "eps"))
+expected_types <- list(out0 = "Tensor", out1 = "Tensor", out2 = "Tensor", out3 = "Tensor", 
+    input = "Tensor", weight = "Tensor", bias = "Tensor", running_mean = "Tensor", 
+    running_var = "Tensor", momentum = "double", eps = "double")
+nd_args <- c("out0", "out1", "out2", "out3", "input", "weight", "bias", 
+"running_mean", "running_var", "momentum", "eps")
+return_types <- list(list("Tensor", "Tensor", "Tensor", "Tensor"))
+call_c_function(
+fun_name = '_batch_norm_no_update_out',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__batch_norm_with_update
+torch__batch_norm_with_update <- function(input, weight, bias, running_mean, running_var, momentum, eps) {
+  args <- mget(x = c("input", "weight", "bias", "running_mean", "running_var", "momentum", "eps"))
+expected_types <- list(input = "Tensor", weight = "Tensor", bias = "Tensor", running_mean = "Tensor", 
+    running_var = "Tensor", momentum = "double", eps = "double")
+nd_args <- c("input", "weight", "bias", "running_mean", "running_var", "momentum", 
+"eps")
+return_types <- list(list("Tensor", "Tensor", "Tensor", "Tensor"))
+call_c_function(
+fun_name = '_batch_norm_with_update',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__batch_norm_with_update_functional
+torch__batch_norm_with_update_functional <- function(input, weight, bias, running_mean, running_var, momentum, eps) {
+  args <- mget(x = c("input", "weight", "bias", "running_mean", "running_var", "momentum", "eps"))
+expected_types <- list(input = "Tensor", weight = "Tensor", bias = "Tensor", running_mean = "Tensor", 
+    running_var = "Tensor", momentum = "double", eps = "double")
+nd_args <- c("input", "weight", "bias", "running_mean", "running_var", "momentum", 
+"eps")
+return_types <- list(list("Tensor", "Tensor", "Tensor", "Tensor", "Tensor", "Tensor"))
+call_c_function(
+fun_name = '_batch_norm_with_update_functional',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__batch_norm_with_update_out
+torch__batch_norm_with_update_out <- function(out, save_mean, save_invstd, reserve, input, weight, bias, running_mean, running_var, momentum, eps) {
+  args <- mget(x = c("out", "save_mean", "save_invstd", "reserve", "input", "weight", "bias", "running_mean", "running_var", "momentum", "eps"))
+expected_types <- list(out = "Tensor", save_mean = "Tensor", save_invstd = "Tensor", 
+    reserve = "Tensor", input = "Tensor", weight = "Tensor", 
+    bias = "Tensor", running_mean = "Tensor", running_var = "Tensor", 
+    momentum = "double", eps = "double")
+nd_args <- c("out", "save_mean", "save_invstd", "reserve", "input", "weight", 
+"bias", "running_mean", "running_var", "momentum", "eps")
+return_types <- list(list("Tensor", "Tensor", "Tensor", "Tensor"))
+call_c_function(
+fun_name = '_batch_norm_with_update_out',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
 #' @rdname torch__cast_Byte
 torch__cast_Byte <- function(self, non_blocking = FALSE) {
   args <- mget(x = c("self", "non_blocking"))
@@ -844,14 +959,32 @@ fun_type = 'namespace'
 }
 
 
-#' @rdname torch__chunk_grad_outputs_efficient_attention
-torch__chunk_grad_outputs_efficient_attention <- function(query, key, value, is_causal = FALSE) {
-  args <- mget(x = c("query", "key", "value", "is_causal"))
-expected_types <- list(query = "Tensor", key = "Tensor", value = "Tensor", is_causal = "bool")
-nd_args <- c("query", "key", "value")
-return_types <- list(list('bool'))
+#' @rdname torch__chunk_cat
+torch__chunk_cat <- function(tensors, dim, num_chunks) {
+  args <- mget(x = c("tensors", "dim", "num_chunks"))
+expected_types <- list(tensors = "TensorList", dim = "int64_t", num_chunks = "int64_t")
+nd_args <- c("tensors", "dim", "num_chunks")
+return_types <- list(list('Tensor'))
 call_c_function(
-fun_name = '_chunk_grad_outputs_efficient_attention',
+fun_name = '_chunk_cat',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__chunk_cat_out
+torch__chunk_cat_out <- function(out, tensors, dim, num_chunks) {
+  args <- mget(x = c("out", "tensors", "dim", "num_chunks"))
+expected_types <- list(out = "Tensor", tensors = "TensorList", dim = "int64_t", 
+    num_chunks = "int64_t")
+nd_args <- c("out", "tensors", "dim", "num_chunks")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_chunk_cat_out',
 args = args,
 expected_types = expected_types,
 nd_args = nd_args,
@@ -1158,6 +1291,23 @@ fun_type = 'namespace'
 }
 
 
+#' @rdname torch__convert_weight_to_int4pack
+torch__convert_weight_to_int4pack <- function(self, innerKTiles) {
+  args <- mget(x = c("self", "innerKTiles"))
+expected_types <- list(self = "Tensor", innerKTiles = "int64_t")
+nd_args <- c("self", "innerKTiles")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_convert_weight_to_int4pack',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
 #' @rdname torch__convolution
 torch__convolution <- function(input, weight, bias, stride, padding, dilation, transposed, output_padding, groups, benchmark, deterministic, cudnn_enabled, allow_tf32) {
   args <- mget(x = c("input", "weight", "bias", "stride", "padding", "dilation", "transposed", "output_padding", "groups", "benchmark", "deterministic", "cudnn_enabled", "allow_tf32"))
@@ -1312,6 +1462,60 @@ fun_type = 'namespace'
 }
 
 
+#' @rdname torch__cslt_compress
+torch__cslt_compress <- function(input) {
+  args <- mget(x = c("input"))
+expected_types <- list(input = "Tensor")
+nd_args <- "input"
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_cslt_compress',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__cslt_sparse_mm
+torch__cslt_sparse_mm <- function(compressed_A, dense_B, bias = list(), alpha = list(), out_dtype = NULL, transpose_result = FALSE, alg_id = 0L) {
+  args <- mget(x = c("compressed_A", "dense_B", "bias", "alpha", "out_dtype", "transpose_result", "alg_id"))
+expected_types <- list(compressed_A = "Tensor", dense_B = "Tensor", bias = "Tensor", 
+    alpha = "Tensor", out_dtype = "ScalarType", transpose_result = "bool", 
+    alg_id = "int64_t")
+nd_args <- c("compressed_A", "dense_B")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_cslt_sparse_mm',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__cslt_sparse_mm_search
+torch__cslt_sparse_mm_search <- function(compressed_A, dense_B, bias = list(), alpha = list(), out_dtype = NULL, transpose_result = FALSE) {
+  args <- mget(x = c("compressed_A", "dense_B", "bias", "alpha", "out_dtype", "transpose_result"))
+expected_types <- list(compressed_A = "Tensor", dense_B = "Tensor", bias = "Tensor", 
+    alpha = "Tensor", out_dtype = "ScalarType", transpose_result = "bool")
+nd_args <- c("compressed_A", "dense_B")
+return_types <- list(list('int64_t'))
+call_c_function(
+fun_name = '_cslt_sparse_mm_search',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
 #' @rdname torch__ctc_loss
 torch__ctc_loss <- function(log_probs, targets, input_lengths, target_lengths, blank = 0L, zero_infinity = FALSE) {
   args <- mget(x = c("log_probs", "targets", "input_lengths", "target_lengths", "blank", "zero_infinity"))
@@ -1616,74 +1820,6 @@ fun_type = 'namespace'
 }
 
 
-#' @rdname torch__cufft_clear_plan_cache
-torch__cufft_clear_plan_cache <- function(device_index) {
-  args <- mget(x = c("device_index"))
-expected_types <- list(device_index = "int64_t")
-nd_args <- "device_index"
-return_types <- list(list("void"))
-call_c_function(
-fun_name = '_cufft_clear_plan_cache',
-args = args,
-expected_types = expected_types,
-nd_args = nd_args,
-return_types = return_types,
-fun_type = 'namespace'
-)
-}
-
-
-#' @rdname torch__cufft_get_plan_cache_max_size
-torch__cufft_get_plan_cache_max_size <- function(device_index) {
-  args <- mget(x = c("device_index"))
-expected_types <- list(device_index = "int64_t")
-nd_args <- "device_index"
-return_types <- list(list('int64_t'))
-call_c_function(
-fun_name = '_cufft_get_plan_cache_max_size',
-args = args,
-expected_types = expected_types,
-nd_args = nd_args,
-return_types = return_types,
-fun_type = 'namespace'
-)
-}
-
-
-#' @rdname torch__cufft_get_plan_cache_size
-torch__cufft_get_plan_cache_size <- function(device_index) {
-  args <- mget(x = c("device_index"))
-expected_types <- list(device_index = "int64_t")
-nd_args <- "device_index"
-return_types <- list(list('int64_t'))
-call_c_function(
-fun_name = '_cufft_get_plan_cache_size',
-args = args,
-expected_types = expected_types,
-nd_args = nd_args,
-return_types = return_types,
-fun_type = 'namespace'
-)
-}
-
-
-#' @rdname torch__cufft_set_plan_cache_max_size
-torch__cufft_set_plan_cache_max_size <- function(device_index, max_size) {
-  args <- mget(x = c("device_index", "max_size"))
-expected_types <- list(device_index = "int64_t", max_size = "int64_t")
-nd_args <- c("device_index", "max_size")
-return_types <- list(list("void"))
-call_c_function(
-fun_name = '_cufft_set_plan_cache_max_size',
-args = args,
-expected_types = expected_types,
-nd_args = nd_args,
-return_types = return_types,
-fun_type = 'namespace'
-)
-}
-
-
 #' @rdname torch__cummax_helper
 torch__cummax_helper <- function(self, values, indices, dim) {
   args <- mget(x = c("self", "values", "indices", "dim"))
@@ -1789,13 +1925,20 @@ fun_type = 'namespace'
 
 
 #' @rdname torch__efficient_attention_backward
-torch__efficient_attention_backward <- function(grad_out_, query, key, value, out, logsumexp, is_causal = FALSE, chunk_grad_outputs = FALSE) {
-  args <- mget(x = c("grad_out_", "query", "key", "value", "out", "logsumexp", "is_causal", "chunk_grad_outputs"))
+torch__efficient_attention_backward <- function(grad_out_, query, key, value, bias, out, cu_seqlens_q, cu_seqlens_k, max_seqlen_q, max_seqlen_k, logsumexp, dropout_p, philox_seed, philox_offset, custom_mask_type, bias_requires_grad, scale = NULL, num_splits_key = NULL, window_size = NULL, shared_storage_dqdkdv = FALSE) {
+  args <- mget(x = c("grad_out_", "query", "key", "value", "bias", "out", "cu_seqlens_q", "cu_seqlens_k", "max_seqlen_q", "max_seqlen_k", "logsumexp", "dropout_p", "philox_seed", "philox_offset", "custom_mask_type", "bias_requires_grad", "scale", "num_splits_key", "window_size", "shared_storage_dqdkdv"))
 expected_types <- list(grad_out_ = "Tensor", query = "Tensor", key = "Tensor", 
-    value = "Tensor", out = "Tensor", logsumexp = "Tensor", is_causal = "bool", 
-    chunk_grad_outputs = "bool")
-nd_args <- c("grad_out_", "query", "key", "value", "out", "logsumexp")
-return_types <- list(list("Tensor", "Tensor", "Tensor"))
+    value = "Tensor", bias = "Tensor", out = "Tensor", cu_seqlens_q = "Tensor", 
+    cu_seqlens_k = "Tensor", max_seqlen_q = "int64_t", max_seqlen_k = "int64_t", 
+    logsumexp = "Tensor", dropout_p = "double", philox_seed = "Tensor", 
+    philox_offset = "Tensor", custom_mask_type = "int64_t", bias_requires_grad = "bool", 
+    scale = "double", num_splits_key = "int64_t", window_size = "int64_t", 
+    shared_storage_dqdkdv = "bool")
+nd_args <- c("grad_out_", "query", "key", "value", "bias", "out", "cu_seqlens_q", 
+"cu_seqlens_k", "max_seqlen_q", "max_seqlen_k", "logsumexp", 
+"dropout_p", "philox_seed", "philox_offset", "custom_mask_type", 
+"bias_requires_grad")
+return_types <- list(list("Tensor", "Tensor", "Tensor", "Tensor"))
 call_c_function(
 fun_name = '_efficient_attention_backward',
 args = args,
@@ -1808,14 +1951,17 @@ fun_type = 'namespace'
 
 
 #' @rdname torch__efficient_attention_forward
-torch__efficient_attention_forward <- function(query, key, value, cu_seqlens_q, cu_seqlens_k, max_seqlen_q, compute_log_sumexp = FALSE, causal = FALSE) {
-  args <- mget(x = c("query", "key", "value", "cu_seqlens_q", "cu_seqlens_k", "max_seqlen_q", "compute_log_sumexp", "causal"))
-expected_types <- list(query = "Tensor", key = "Tensor", value = "Tensor", cu_seqlens_q = "Tensor", 
-    cu_seqlens_k = "Tensor", max_seqlen_q = "int64_t", compute_log_sumexp = "bool", 
-    causal = "bool")
-nd_args <- c("query", "key", "value", "cu_seqlens_q", "cu_seqlens_k", "max_seqlen_q"
-)
-return_types <- list(list("Tensor", "Tensor"))
+torch__efficient_attention_forward <- function(query, key, value, bias, cu_seqlens_q, cu_seqlens_k, max_seqlen_q, max_seqlen_k, dropout_p, custom_mask_type, compute_log_sumexp = FALSE, scale = NULL, seqlen_k = list(), window_size = NULL) {
+  args <- mget(x = c("query", "key", "value", "bias", "cu_seqlens_q", "cu_seqlens_k", "max_seqlen_q", "max_seqlen_k", "dropout_p", "custom_mask_type", "compute_log_sumexp", "scale", "seqlen_k", "window_size"))
+expected_types <- list(query = "Tensor", key = "Tensor", value = "Tensor", bias = "Tensor", 
+    cu_seqlens_q = "Tensor", cu_seqlens_k = "Tensor", max_seqlen_q = "int64_t", 
+    max_seqlen_k = "int64_t", dropout_p = "double", custom_mask_type = "int64_t", 
+    compute_log_sumexp = "bool", scale = "double", seqlen_k = "Tensor", 
+    window_size = "int64_t")
+nd_args <- c("query", "key", "value", "bias", "cu_seqlens_q", "cu_seqlens_k", 
+"max_seqlen_q", "max_seqlen_k", "dropout_p", "custom_mask_type"
+)
+return_types <- list(list("Tensor", "Tensor", "Tensor", "Tensor", "int64_t", "int64_t"))
 call_c_function(
 fun_name = '_efficient_attention_forward',
 args = args,
@@ -2441,14 +2587,33 @@ fun_type = 'namespace'
 }
 
 
+#' @rdname torch__fill_mem_eff_dropout_mask_
+torch__fill_mem_eff_dropout_mask_ <- function(self, dropout_p, seed, offset) {
+  args <- mget(x = c("self", "dropout_p", "seed", "offset"))
+expected_types <- list(self = "Tensor", dropout_p = "double", seed = "int64_t", 
+    offset = "int64_t")
+nd_args <- c("self", "dropout_p", "seed", "offset")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_fill_mem_eff_dropout_mask_',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
 #' @rdname torch__flash_attention_backward
-torch__flash_attention_backward <- function(grad_out, query, key, value, out, logsumexp, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, philox_seed, philox_offset) {
-  args <- mget(x = c("grad_out", "query", "key", "value", "out", "logsumexp", "cum_seq_q", "cum_seq_k", "max_q", "max_k", "dropout_p", "is_causal", "philox_seed", "philox_offset"))
+torch__flash_attention_backward <- function(grad_out, query, key, value, out, logsumexp, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, philox_seed, philox_offset, scale = NULL, window_size_left = NULL, window_size_right = NULL) {
+  args <- mget(x = c("grad_out", "query", "key", "value", "out", "logsumexp", "cum_seq_q", "cum_seq_k", "max_q", "max_k", "dropout_p", "is_causal", "philox_seed", "philox_offset", "scale", "window_size_left", "window_size_right"))
 expected_types <- list(grad_out = "Tensor", query = "Tensor", key = "Tensor", value = "Tensor", 
     out = "Tensor", logsumexp = "Tensor", cum_seq_q = "Tensor", 
     cum_seq_k = "Tensor", max_q = "int64_t", max_k = "int64_t", 
-    dropout_p = "double", is_causal = "bool", philox_seed = "int64_t", 
-    philox_offset = "int64_t")
+    dropout_p = "double", is_causal = "bool", philox_seed = "Tensor", 
+    philox_offset = "Tensor", scale = "double", window_size_left = "int64_t", 
+    window_size_right = "int64_t")
 nd_args <- c("grad_out", "query", "key", "value", "out", "logsumexp", "cum_seq_q", 
 "cum_seq_k", "max_q", "max_k", "dropout_p", "is_causal", "philox_seed", 
 "philox_offset")
@@ -2465,14 +2630,16 @@ fun_type = 'namespace'
 
 
 #' @rdname torch__flash_attention_forward
-torch__flash_attention_forward <- function(query, key, value, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, return_debug_mask) {
-  args <- mget(x = c("query", "key", "value", "cum_seq_q", "cum_seq_k", "max_q", "max_k", "dropout_p", "is_causal", "return_debug_mask"))
+torch__flash_attention_forward <- function(query, key, value, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, return_debug_mask, scale = NULL, window_size_left = NULL, window_size_right = NULL, seqused_k = list(), alibi_slopes = list()) {
+  args <- mget(x = c("query", "key", "value", "cum_seq_q", "cum_seq_k", "max_q", "max_k", "dropout_p", "is_causal", "return_debug_mask", "scale", "window_size_left", "window_size_right", "seqused_k", "alibi_slopes"))
 expected_types <- list(query = "Tensor", key = "Tensor", value = "Tensor", cum_seq_q = "Tensor", 
     cum_seq_k = "Tensor", max_q = "int64_t", max_k = "int64_t", 
-    dropout_p = "double", is_causal = "bool", return_debug_mask = "bool")
+    dropout_p = "double", is_causal = "bool", return_debug_mask = "bool", 
+    scale = "double", window_size_left = "int64_t", window_size_right = "int64_t", 
+    seqused_k = "Tensor", alibi_slopes = "Tensor")
 nd_args <- c("query", "key", "value", "cum_seq_q", "cum_seq_k", "max_q", 
 "max_k", "dropout_p", "is_causal", "return_debug_mask")
-return_types <- list(list("Tensor", "Tensor", "int64_t", "int64_t", "Tensor"))
+return_types <- list(list("Tensor", "Tensor", "Tensor", "Tensor", "Tensor"))
 call_c_function(
 fun_name = '_flash_attention_forward',
 args = args,
@@ -2624,8 +2791,8 @@ fun_type = 'namespace'
 #' @rdname torch__foreach_add
 torch__foreach_add <- function(self, other, scalar, scalars, alpha = 1L) {
   args <- mget(x = c("self", "other", "scalar", "scalars", "alpha"))
-expected_types <- list(self = "TensorList", other = "TensorList", scalar = "Scalar", 
-    scalars = "ArrayRef<Scalar>", alpha = "Scalar")
+expected_types <- list(self = "TensorList", other = c("TensorList", "Tensor"), 
+    scalar = "Scalar", scalars = "ArrayRef<Scalar>", alpha = "Scalar")
 nd_args <- c("self", "other", "scalar", "scalars")
 return_types <- list(list('TensorList'))
 call_c_function(
@@ -2642,8 +2809,8 @@ fun_type = 'namespace'
 #' @rdname torch__foreach_add_
 torch__foreach_add_ <- function(self, other, scalar, scalars, alpha = 1L) {
   args <- mget(x = c("self", "other", "scalar", "scalars", "alpha"))
-expected_types <- list(self = "TensorList", other = "TensorList", scalar = "Scalar", 
-    scalars = "ArrayRef<Scalar>", alpha = "Scalar")
+expected_types <- list(self = "TensorList", other = c("TensorList", "Tensor"), 
+    scalar = "Scalar", scalars = "ArrayRef<Scalar>", alpha = "Scalar")
 nd_args <- c("self", "other", "scalar", "scalars")
 return_types <- list(list("void"))
 call_c_function(
@@ -2660,8 +2827,8 @@ fun_type = 'namespace'
 #' @rdname torch__foreach_add_out
 torch__foreach_add_out <- function(out, self, other, scalar, scalars, alpha = 1L) {
   args <- mget(x = c("out", "self", "other", "scalar", "scalars", "alpha"))
-expected_types <- list(out = "TensorList", self = "TensorList", other = "TensorList", 
-    scalar = "Scalar", scalars = "ArrayRef<Scalar>", alpha = "Scalar")
+expected_types <- list(out = "TensorList", self = "TensorList", other = c("TensorList", 
+"Tensor"), scalar = "Scalar", scalars = "ArrayRef<Scalar>", alpha = "Scalar")
 nd_args <- c("out", "self", "other", "scalar", "scalars")
 return_types <- list(list("void"))
 call_c_function(
@@ -3046,6 +3213,58 @@ fun_type = 'namespace'
 }
 
 
+#' @rdname torch__foreach_copy
+torch__foreach_copy <- function(self, src, non_blocking = FALSE) {
+  args <- mget(x = c("self", "src", "non_blocking"))
+expected_types <- list(self = "TensorList", src = "TensorList", non_blocking = "bool")
+nd_args <- c("self", "src")
+return_types <- list(list('TensorList'))
+call_c_function(
+fun_name = '_foreach_copy',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__foreach_copy_
+torch__foreach_copy_ <- function(self, src, non_blocking = FALSE) {
+  args <- mget(x = c("self", "src", "non_blocking"))
+expected_types <- list(self = "TensorList", src = "TensorList", non_blocking = "bool")
+nd_args <- c("self", "src")
+return_types <- list(list("void"))
+call_c_function(
+fun_name = '_foreach_copy_',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__foreach_copy_out
+torch__foreach_copy_out <- function(out, self, src, non_blocking = FALSE) {
+  args <- mget(x = c("out", "self", "src", "non_blocking"))
+expected_types <- list(out = "TensorList", self = "TensorList", src = "TensorList", 
+    non_blocking = "bool")
+nd_args <- c("out", "self", "src")
+return_types <- list(list("void"))
+call_c_function(
+fun_name = '_foreach_copy_out',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
 #' @rdname torch__foreach_cos
 torch__foreach_cos <- function(self) {
   args <- mget(x = c("self"))
@@ -3151,8 +3370,8 @@ fun_type = 'namespace'
 #' @rdname torch__foreach_div
 torch__foreach_div <- function(self, other, scalar, scalars) {
   args <- mget(x = c("self", "other", "scalar", "scalars"))
-expected_types <- list(self = "TensorList", other = "TensorList", scalar = "Scalar", 
-    scalars = "ArrayRef<Scalar>")
+expected_types <- list(self = "TensorList", other = c("TensorList", "Tensor"), 
+    scalar = "Scalar", scalars = "ArrayRef<Scalar>")
 nd_args <- c("self", "other", "scalar", "scalars")
 return_types <- list(list('TensorList'))
 call_c_function(
@@ -3169,8 +3388,8 @@ fun_type = 'namespace'
 #' @rdname torch__foreach_div_
 torch__foreach_div_ <- function(self, other, scalar, scalars) {
   args <- mget(x = c("self", "other", "scalar", "scalars"))
-expected_types <- list(self = "TensorList", other = "TensorList", scalar = "Scalar", 
-    scalars = "ArrayRef<Scalar>")
+expected_types <- list(self = "TensorList", other = c("TensorList", "Tensor"), 
+    scalar = "Scalar", scalars = "ArrayRef<Scalar>")
 nd_args <- c("self", "other", "scalar", "scalars")
 return_types <- list(list("void"))
 call_c_function(
@@ -3187,8 +3406,8 @@ fun_type = 'namespace'
 #' @rdname torch__foreach_div_out
 torch__foreach_div_out <- function(out, self, other, scalar, scalars) {
   args <- mget(x = c("out", "self", "other", "scalar", "scalars"))
-expected_types <- list(out = "TensorList", self = "TensorList", other = "TensorList", 
-    scalar = "Scalar", scalars = "ArrayRef<Scalar>")
+expected_types <- list(out = "TensorList", self = "TensorList", other = c("TensorList", 
+"Tensor"), scalar = "Scalar", scalars = "ArrayRef<Scalar>")
 nd_args <- c("out", "self", "other", "scalar", "scalars")
 return_types <- list(list("void"))
 call_c_function(
@@ -3817,6 +4036,40 @@ fun_type = 'namespace'
 }
 
 
+#' @rdname torch__foreach_max
+torch__foreach_max <- function(self) {
+  args <- mget(x = c("self"))
+expected_types <- list(self = "TensorList")
+nd_args <- "self"
+return_types <- list(list('TensorList'))
+call_c_function(
+fun_name = '_foreach_max',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__foreach_max_out
+torch__foreach_max_out <- function(out, self) {
+  args <- mget(x = c("out", "self"))
+expected_types <- list(out = "TensorList", self = "TensorList")
+nd_args <- c("out", "self")
+return_types <- list(list("void"))
+call_c_function(
+fun_name = '_foreach_max_out',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
 #' @rdname torch__foreach_maximum
 torch__foreach_maximum <- function(self, other, scalar, scalars) {
   args <- mget(x = c("self", "other", "scalar", "scalars"))
@@ -3928,8 +4181,8 @@ fun_type = 'namespace'
 #' @rdname torch__foreach_mul
 torch__foreach_mul <- function(self, other, scalar, scalars) {
   args <- mget(x = c("self", "other", "scalar", "scalars"))
-expected_types <- list(self = "TensorList", other = "TensorList", scalar = "Scalar", 
-    scalars = "ArrayRef<Scalar>")
+expected_types <- list(self = "TensorList", other = c("TensorList", "Tensor"), 
+    scalar = "Scalar", scalars = "ArrayRef<Scalar>")
 nd_args <- c("self", "other", "scalar", "scalars")
 return_types <- list(list('TensorList'))
 call_c_function(
@@ -3946,8 +4199,8 @@ fun_type = 'namespace'
 #' @rdname torch__foreach_mul_
 torch__foreach_mul_ <- function(self, other, scalar, scalars) {
   args <- mget(x = c("self", "other", "scalar", "scalars"))
-expected_types <- list(self = "TensorList", other = "TensorList", scalar = "Scalar", 
-    scalars = "ArrayRef<Scalar>")
+expected_types <- list(self = "TensorList", other = c("TensorList", "Tensor"), 
+    scalar = "Scalar", scalars = "ArrayRef<Scalar>")
 nd_args <- c("self", "other", "scalar", "scalars")
 return_types <- list(list("void"))
 call_c_function(
@@ -3964,8 +4217,8 @@ fun_type = 'namespace'
 #' @rdname torch__foreach_mul_out
 torch__foreach_mul_out <- function(out, self, other, scalar, scalars) {
   args <- mget(x = c("out", "self", "other", "scalar", "scalars"))
-expected_types <- list(out = "TensorList", self = "TensorList", other = "TensorList", 
-    scalar = "Scalar", scalars = "ArrayRef<Scalar>")
+expected_types <- list(out = "TensorList", self = "TensorList", other = c("TensorList", 
+"Tensor"), scalar = "Scalar", scalars = "ArrayRef<Scalar>")
 nd_args <- c("out", "self", "other", "scalar", "scalars")
 return_types <- list(list("void"))
 call_c_function(
@@ -4031,9 +4284,9 @@ fun_type = 'namespace'
 
 
 #' @rdname torch__foreach_norm
-torch__foreach_norm <- function(self, ord = 2L) {
-  args <- mget(x = c("self", "ord"))
-expected_types <- list(self = "TensorList", ord = "Scalar")
+torch__foreach_norm <- function(self, ord = 2L, dtype = NULL) {
+  args <- mget(x = c("self", "ord", "dtype"))
+expected_types <- list(self = "TensorList", ord = "Scalar", dtype = "ScalarType")
 nd_args <- "self"
 return_types <- list(list('TensorList'))
 call_c_function(
@@ -4048,9 +4301,10 @@ fun_type = 'namespace'
 
 
 #' @rdname torch__foreach_norm_out
-torch__foreach_norm_out <- function(out, self, ord = 2L) {
-  args <- mget(x = c("out", "self", "ord"))
-expected_types <- list(out = "TensorList", self = "TensorList", ord = "Scalar")
+torch__foreach_norm_out <- function(out, self, ord = 2L, dtype = NULL) {
+  args <- mget(x = c("out", "self", "ord", "dtype"))
+expected_types <- list(out = "TensorList", self = "TensorList", ord = "Scalar", 
+    dtype = "ScalarType")
 nd_args <- c("out", "self")
 return_types <- list(list("void"))
 call_c_function(
@@ -4064,6 +4318,60 @@ fun_type = 'namespace'
 }
 
 
+#' @rdname torch__foreach_pow
+torch__foreach_pow <- function(self, exponent) {
+  args <- mget(x = c("self", "exponent"))
+expected_types <- list(self = c("TensorList", "Scalar"), exponent = c("TensorList", 
+"Scalar", "ArrayRef<Scalar>"))
+nd_args <- c("self", "exponent")
+return_types <- list(list('TensorList'))
+call_c_function(
+fun_name = '_foreach_pow',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__foreach_pow_
+torch__foreach_pow_ <- function(self, exponent) {
+  args <- mget(x = c("self", "exponent"))
+expected_types <- list(self = "TensorList", exponent = c("TensorList", "Scalar", 
+"ArrayRef<Scalar>"))
+nd_args <- c("self", "exponent")
+return_types <- list(list("void"))
+call_c_function(
+fun_name = '_foreach_pow_',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__foreach_pow_out
+torch__foreach_pow_out <- function(out, self, exponent) {
+  args <- mget(x = c("out", "self", "exponent"))
+expected_types <- list(out = "TensorList", self = "TensorList", exponent = c("TensorList", 
+"Scalar", "ArrayRef<Scalar>"))
+nd_args <- c("out", "self", "exponent")
+return_types <- list(list("void"))
+call_c_function(
+fun_name = '_foreach_pow_out',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
 #' @rdname torch__foreach_reciprocal
 torch__foreach_reciprocal <- function(self) {
   args <- mget(x = c("self"))
@@ -4217,6 +4525,57 @@ fun_type = 'namespace'
 }
 
 
+#' @rdname torch__foreach_sign
+torch__foreach_sign <- function(self) {
+  args <- mget(x = c("self"))
+expected_types <- list(self = "TensorList")
+nd_args <- "self"
+return_types <- list(list('TensorList'))
+call_c_function(
+fun_name = '_foreach_sign',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__foreach_sign_
+torch__foreach_sign_ <- function(self) {
+  args <- mget(x = c("self"))
+expected_types <- list(self = "TensorList")
+nd_args <- "self"
+return_types <- list(list("void"))
+call_c_function(
+fun_name = '_foreach_sign_',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__foreach_sign_out
+torch__foreach_sign_out <- function(out, self) {
+  args <- mget(x = c("out", "self"))
+expected_types <- list(out = "TensorList", self = "TensorList")
+nd_args <- c("out", "self")
+return_types <- list(list("void"))
+call_c_function(
+fun_name = '_foreach_sign_out',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
 #' @rdname torch__foreach_sin
 torch__foreach_sin <- function(self) {
   args <- mget(x = c("self"))
@@ -4628,12 +4987,143 @@ fun_type = 'namespace'
 }
 
 
+#' @rdname torch__functional_assert_async
+torch__functional_assert_async <- function(self, assert_msg, dep_token) {
+  args <- mget(x = c("self", "assert_msg", "dep_token"))
+expected_types <- list(self = "Tensor", assert_msg = "c10::string_view", dep_token = "Tensor")
+nd_args <- c("self", "assert_msg", "dep_token")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_functional_assert_async',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__functional_assert_scalar
+torch__functional_assert_scalar <- function(self, assert_msg, dep_token) {
+  args <- mget(x = c("self", "assert_msg", "dep_token"))
+expected_types <- list(self = "Scalar", assert_msg = "c10::string_view", dep_token = "Tensor")
+nd_args <- c("self", "assert_msg", "dep_token")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_functional_assert_scalar',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__functional_sym_constrain_range
+torch__functional_sym_constrain_range <- function(size, min, max, dep_token) {
+  args <- mget(x = c("size", "min", "max", "dep_token"))
+expected_types <- list(size = "Scalar", min = "int64_t", max = "int64_t", dep_token = "Tensor")
+nd_args <- c("size", "min", "max", "dep_token")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_functional_sym_constrain_range',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__functional_sym_constrain_range_for_size
+torch__functional_sym_constrain_range_for_size <- function(size, min, max, dep_token) {
+  args <- mget(x = c("size", "min", "max", "dep_token"))
+expected_types <- list(size = "Scalar", min = "int64_t", max = "int64_t", dep_token = "Tensor")
+nd_args <- c("size", "min", "max", "dep_token")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_functional_sym_constrain_range_for_size',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__fused_adagrad
+torch__fused_adagrad <- function(self, grads, state_sums, state_steps, lr, lr_decay, weight_decay, eps, maximize, grad_scale = list(), found_inf = list()) {
+  args <- mget(x = c("self", "grads", "state_sums", "state_steps", "lr", "lr_decay", "weight_decay", "eps", "maximize", "grad_scale", "found_inf"))
+expected_types <- list(self = "TensorList", grads = "TensorList", state_sums = "TensorList", 
+    state_steps = "TensorList", lr = "double", lr_decay = "double", 
+    weight_decay = "double", eps = "double", maximize = "bool", 
+    grad_scale = "Tensor", found_inf = "Tensor")
+nd_args <- c("self", "grads", "state_sums", "state_steps", "lr", "lr_decay", 
+"weight_decay", "eps", "maximize")
+return_types <- list(list("TensorList", "TensorList", "TensorList", "TensorList"))
+call_c_function(
+fun_name = '_fused_adagrad',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__fused_adagrad_
+torch__fused_adagrad_ <- function(self, grads, state_sums, state_steps, lr, lr_decay, weight_decay, eps, maximize, grad_scale = list(), found_inf = list()) {
+  args <- mget(x = c("self", "grads", "state_sums", "state_steps", "lr", "lr_decay", "weight_decay", "eps", "maximize", "grad_scale", "found_inf"))
+expected_types <- list(self = "TensorList", grads = "TensorList", state_sums = "TensorList", 
+    state_steps = "TensorList", lr = "double", lr_decay = "double", 
+    weight_decay = "double", eps = "double", maximize = "bool", 
+    grad_scale = "Tensor", found_inf = "Tensor")
+nd_args <- c("self", "grads", "state_sums", "state_steps", "lr", "lr_decay", 
+"weight_decay", "eps", "maximize")
+return_types <- list(list("void"))
+call_c_function(
+fun_name = '_fused_adagrad_',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__fused_adagrad_out
+torch__fused_adagrad_out <- function(out, self, grads, state_sums, state_steps, lr, lr_decay, weight_decay, eps, maximize, grad_scale = list(), found_inf = list()) {
+  args <- mget(x = c("out", "self", "grads", "state_sums", "state_steps", "lr", "lr_decay", "weight_decay", "eps", "maximize", "grad_scale", "found_inf"))
+expected_types <- list(out = "TensorList", self = "TensorList", grads = "TensorList", 
+    state_sums = "TensorList", state_steps = "TensorList", lr = "double", 
+    lr_decay = "double", weight_decay = "double", eps = "double", 
+    maximize = "bool", grad_scale = "Tensor", found_inf = "Tensor")
+nd_args <- c("out", "self", "grads", "state_sums", "state_steps", "lr", 
+"lr_decay", "weight_decay", "eps", "maximize")
+return_types <- list(list("void"))
+call_c_function(
+fun_name = '_fused_adagrad_out',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
 #' @rdname torch__fused_adam
 torch__fused_adam <- function(self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale = list(), found_inf = list()) {
   args <- mget(x = c("self", "grads", "exp_avgs", "exp_avg_sqs", "max_exp_avg_sqs", "state_steps", "lr", "beta1", "beta2", "weight_decay", "eps", "amsgrad", "maximize", "grad_scale", "found_inf"))
 expected_types <- list(self = "TensorList", grads = "TensorList", exp_avgs = "TensorList", 
     exp_avg_sqs = "TensorList", max_exp_avg_sqs = "TensorList", 
-    state_steps = "TensorList", lr = "double", beta1 = "double", 
+    state_steps = "TensorList", lr = c("double", "Tensor"), beta1 = "double", 
     beta2 = "double", weight_decay = "double", eps = "double", 
     amsgrad = "bool", maximize = "bool", grad_scale = "Tensor", 
     found_inf = "Tensor")
@@ -4657,7 +5147,7 @@ torch__fused_adam_ <- function(self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_s
   args <- mget(x = c("self", "grads", "exp_avgs", "exp_avg_sqs", "max_exp_avg_sqs", "state_steps", "lr", "beta1", "beta2", "weight_decay", "eps", "amsgrad", "maximize", "grad_scale", "found_inf"))
 expected_types <- list(self = "TensorList", grads = "TensorList", exp_avgs = "TensorList", 
     exp_avg_sqs = "TensorList", max_exp_avg_sqs = "TensorList", 
-    state_steps = "TensorList", lr = "double", beta1 = "double", 
+    state_steps = "TensorList", lr = c("double", "Tensor"), beta1 = "double", 
     beta2 = "double", weight_decay = "double", eps = "double", 
     amsgrad = "bool", maximize = "bool", grad_scale = "Tensor", 
     found_inf = "Tensor")
@@ -4681,7 +5171,7 @@ torch__fused_adam_out <- function(out, self, grads, exp_avgs, exp_avg_sqs, max_e
   args <- mget(x = c("out", "self", "grads", "exp_avgs", "exp_avg_sqs", "max_exp_avg_sqs", "state_steps", "lr", "beta1", "beta2", "weight_decay", "eps", "amsgrad", "maximize", "grad_scale", "found_inf"))
 expected_types <- list(out = "TensorList", self = "TensorList", grads = "TensorList", 
     exp_avgs = "TensorList", exp_avg_sqs = "TensorList", max_exp_avg_sqs = "TensorList", 
-    state_steps = "TensorList", lr = "double", beta1 = "double", 
+    state_steps = "TensorList", lr = c("double", "Tensor"), beta1 = "double", 
     beta2 = "double", weight_decay = "double", eps = "double", 
     amsgrad = "bool", maximize = "bool", grad_scale = "Tensor", 
     found_inf = "Tensor")
@@ -4705,7 +5195,7 @@ torch__fused_adamw <- function(self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_s
   args <- mget(x = c("self", "grads", "exp_avgs", "exp_avg_sqs", "max_exp_avg_sqs", "state_steps", "lr", "beta1", "beta2", "weight_decay", "eps", "amsgrad", "maximize", "grad_scale", "found_inf"))
 expected_types <- list(self = "TensorList", grads = "TensorList", exp_avgs = "TensorList", 
     exp_avg_sqs = "TensorList", max_exp_avg_sqs = "TensorList", 
-    state_steps = "TensorList", lr = "double", beta1 = "double", 
+    state_steps = "TensorList", lr = c("double", "Tensor"), beta1 = "double", 
     beta2 = "double", weight_decay = "double", eps = "double", 
     amsgrad = "bool", maximize = "bool", grad_scale = "Tensor", 
     found_inf = "Tensor")
@@ -4729,7 +5219,7 @@ torch__fused_adamw_ <- function(self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_
   args <- mget(x = c("self", "grads", "exp_avgs", "exp_avg_sqs", "max_exp_avg_sqs", "state_steps", "lr", "beta1", "beta2", "weight_decay", "eps", "amsgrad", "maximize", "grad_scale", "found_inf"))
 expected_types <- list(self = "TensorList", grads = "TensorList", exp_avgs = "TensorList", 
     exp_avg_sqs = "TensorList", max_exp_avg_sqs = "TensorList", 
-    state_steps = "TensorList", lr = "double", beta1 = "double", 
+    state_steps = "TensorList", lr = c("double", "Tensor"), beta1 = "double", 
     beta2 = "double", weight_decay = "double", eps = "double", 
     amsgrad = "bool", maximize = "bool", grad_scale = "Tensor", 
     found_inf = "Tensor")
@@ -4753,7 +5243,7 @@ torch__fused_adamw_out <- function(out, self, grads, exp_avgs, exp_avg_sqs, max_
   args <- mget(x = c("out", "self", "grads", "exp_avgs", "exp_avg_sqs", "max_exp_avg_sqs", "state_steps", "lr", "beta1", "beta2", "weight_decay", "eps", "amsgrad", "maximize", "grad_scale", "found_inf"))
 expected_types <- list(out = "TensorList", self = "TensorList", grads = "TensorList", 
     exp_avgs = "TensorList", exp_avg_sqs = "TensorList", max_exp_avg_sqs = "TensorList", 
-    state_steps = "TensorList", lr = "double", beta1 = "double", 
+    state_steps = "TensorList", lr = c("double", "Tensor"), beta1 = "double", 
     beta2 = "double", weight_decay = "double", eps = "double", 
     amsgrad = "bool", maximize = "bool", grad_scale = "Tensor", 
     found_inf = "Tensor")
@@ -4877,10 +5367,11 @@ fun_type = 'namespace'
 
 
 #' @rdname torch__fused_sdp_choice
-torch__fused_sdp_choice <- function(query, key, value, attn_mask = list(), dropout_p = 0L, is_causal = FALSE) {
-  args <- mget(x = c("query", "key", "value", "attn_mask", "dropout_p", "is_causal"))
+torch__fused_sdp_choice <- function(query, key, value, attn_mask = list(), dropout_p = 0L, is_causal = FALSE, scale = NULL, enable_gqa = FALSE) {
+  args <- mget(x = c("query", "key", "value", "attn_mask", "dropout_p", "is_causal", "scale", "enable_gqa"))
 expected_types <- list(query = "Tensor", key = "Tensor", value = "Tensor", attn_mask = "Tensor", 
-    dropout_p = "double", is_causal = "bool")
+    dropout_p = "double", is_causal = "bool", scale = "double", 
+    enable_gqa = "bool")
 nd_args <- c("query", "key", "value")
 return_types <- list(list('int64_t'))
 call_c_function(
@@ -4894,6 +5385,71 @@ fun_type = 'namespace'
 }
 
 
+#' @rdname torch__fused_sgd
+torch__fused_sgd <- function(self, grads, momentum_buffer_list, weight_decay, momentum, lr, dampening, nesterov, maximize, is_first_step, grad_scale = list(), found_inf = list()) {
+  args <- mget(x = c("self", "grads", "momentum_buffer_list", "weight_decay", "momentum", "lr", "dampening", "nesterov", "maximize", "is_first_step", "grad_scale", "found_inf"))
+expected_types <- list(self = "TensorList", grads = "TensorList", momentum_buffer_list = "TensorList", 
+    weight_decay = "double", momentum = "double", lr = c("double", 
+    "Tensor"), dampening = "double", nesterov = "bool", maximize = "bool", 
+    is_first_step = "bool", grad_scale = "Tensor", found_inf = "Tensor")
+nd_args <- c("self", "grads", "momentum_buffer_list", "weight_decay", "momentum", 
+"lr", "dampening", "nesterov", "maximize", "is_first_step")
+return_types <- list(list("TensorList", "TensorList", "TensorList"))
+call_c_function(
+fun_name = '_fused_sgd',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__fused_sgd_
+torch__fused_sgd_ <- function(self, grads, momentum_buffer_list, weight_decay, momentum, lr, dampening, nesterov, maximize, is_first_step, grad_scale = list(), found_inf = list()) {
+  args <- mget(x = c("self", "grads", "momentum_buffer_list", "weight_decay", "momentum", "lr", "dampening", "nesterov", "maximize", "is_first_step", "grad_scale", "found_inf"))
+expected_types <- list(self = "TensorList", grads = "TensorList", momentum_buffer_list = "TensorList", 
+    weight_decay = "double", momentum = "double", lr = c("double", 
+    "Tensor"), dampening = "double", nesterov = "bool", maximize = "bool", 
+    is_first_step = "bool", grad_scale = "Tensor", found_inf = "Tensor")
+nd_args <- c("self", "grads", "momentum_buffer_list", "weight_decay", "momentum", 
+"lr", "dampening", "nesterov", "maximize", "is_first_step")
+return_types <- list(list("void"))
+call_c_function(
+fun_name = '_fused_sgd_',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__fused_sgd_out
+torch__fused_sgd_out <- function(out, self, grads, momentum_buffer_list, weight_decay, momentum, lr, dampening, nesterov, maximize, is_first_step, grad_scale = list(), found_inf = list()) {
+  args <- mget(x = c("out", "self", "grads", "momentum_buffer_list", "weight_decay", "momentum", "lr", "dampening", "nesterov", "maximize", "is_first_step", "grad_scale", "found_inf"))
+expected_types <- list(out = "TensorList", self = "TensorList", grads = "TensorList", 
+    momentum_buffer_list = "TensorList", weight_decay = "double", 
+    momentum = "double", lr = c("double", "Tensor"), dampening = "double", 
+    nesterov = "bool", maximize = "bool", is_first_step = "bool", 
+    grad_scale = "Tensor", found_inf = "Tensor")
+nd_args <- c("out", "self", "grads", "momentum_buffer_list", "weight_decay", 
+"momentum", "lr", "dampening", "nesterov", "maximize", "is_first_step"
+)
+return_types <- list(list("void"))
+call_c_function(
+fun_name = '_fused_sgd_out',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
 #' @rdname torch__fw_primal_copy
 torch__fw_primal_copy <- function(self, level) {
   args <- mget(x = c("self", "level"))
@@ -5148,7 +5704,7 @@ fun_type = 'namespace'
 #' @rdname torch__index_put_impl
 torch__index_put_impl <- function(self, indices, values, accumulate = FALSE, unsafe = FALSE) {
   args <- mget(x = c("self", "indices", "values", "accumulate", "unsafe"))
-expected_types <- list(self = "Tensor", indices = "const c10::List<c10::optional<Tensor>> &", 
+expected_types <- list(self = "Tensor", indices = "const c10::List<::std::optional<Tensor>> &", 
     values = "Tensor", accumulate = "bool", unsafe = "bool")
 nd_args <- c("self", "indices", "values")
 return_types <- list(list('Tensor'))
@@ -5166,7 +5722,7 @@ fun_type = 'namespace'
 #' @rdname torch__index_put_impl_
 torch__index_put_impl_ <- function(self, indices, values, accumulate = FALSE, unsafe = FALSE) {
   args <- mget(x = c("self", "indices", "values", "accumulate", "unsafe"))
-expected_types <- list(self = "Tensor", indices = "const c10::List<c10::optional<Tensor>> &", 
+expected_types <- list(self = "Tensor", indices = "const c10::List<::std::optional<Tensor>> &", 
     values = "Tensor", accumulate = "bool", unsafe = "bool")
 nd_args <- c("self", "indices", "values")
 return_types <- list(list('Tensor'))
@@ -5184,7 +5740,7 @@ fun_type = 'namespace'
 #' @rdname torch__index_put_impl_out
 torch__index_put_impl_out <- function(out, self, indices, values, accumulate = FALSE, unsafe = FALSE) {
   args <- mget(x = c("out", "self", "indices", "values", "accumulate", "unsafe"))
-expected_types <- list(out = "Tensor", self = "Tensor", indices = "const c10::List<c10::optional<Tensor>> &", 
+expected_types <- list(out = "Tensor", self = "Tensor", indices = "const c10::List<::std::optional<Tensor>> &", 
     values = "Tensor", accumulate = "bool", unsafe = "bool")
 nd_args <- c("out", "self", "indices", "values")
 return_types <- list(list('Tensor'))
@@ -5233,6 +5789,40 @@ fun_type = 'namespace'
 }
 
 
+#' @rdname torch__int_mm
+torch__int_mm <- function(self, mat2) {
+  args <- mget(x = c("self", "mat2"))
+expected_types <- list(self = "Tensor", mat2 = "Tensor")
+nd_args <- c("self", "mat2")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_int_mm',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__int_mm_out
+torch__int_mm_out <- function(out, self, mat2) {
+  args <- mget(x = c("out", "self", "mat2"))
+expected_types <- list(out = "Tensor", self = "Tensor", mat2 = "Tensor")
+nd_args <- c("out", "self", "mat2")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_int_mm_out',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
 #' @rdname torch__is_all_true
 torch__is_all_true <- function(self) {
   args <- mget(x = c("self"))
@@ -5284,6 +5874,41 @@ fun_type = 'namespace'
 }
 
 
+#' @rdname torch__jagged_to_padded_dense_forward
+torch__jagged_to_padded_dense_forward <- function(values, offsets, max_lengths, padding_value = 0L) {
+  args <- mget(x = c("values", "offsets", "max_lengths", "padding_value"))
+expected_types <- list(values = "Tensor", offsets = "TensorList", max_lengths = "IntArrayRef", 
+    padding_value = "double")
+nd_args <- c("values", "offsets", "max_lengths")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_jagged_to_padded_dense_forward',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__lazy_clone
+torch__lazy_clone <- function(self) {
+  args <- mget(x = c("self"))
+expected_types <- list(self = "Tensor")
+nd_args <- "self"
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_lazy_clone',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
 #' @rdname torch__linalg_check_errors
 torch__linalg_check_errors <- function(info, api_name, is_matrix) {
   args <- mget(x = c("info", "api_name", "is_matrix"))
@@ -5370,6 +5995,23 @@ fun_type = 'namespace'
 }
 
 
+#' @rdname torch__linalg_eigvals
+torch__linalg_eigvals <- function(self) {
+  args <- mget(x = c("self"))
+expected_types <- list(self = "Tensor")
+nd_args <- "self"
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_linalg_eigvals',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
 #' @rdname torch__linalg_slogdet
 torch__linalg_slogdet <- function(A) {
   args <- mget(x = c("A"))
@@ -5883,6 +6525,24 @@ fun_type = 'namespace'
 }
 
 
+#' @rdname torch__mixed_dtypes_linear
+torch__mixed_dtypes_linear <- function(input, weight, scale, bias = list(), activation = NULL) {
+  args <- mget(x = c("input", "weight", "scale", "bias", "activation"))
+expected_types <- list(input = "Tensor", weight = "Tensor", scale = "Tensor", bias = "Tensor", 
+    activation = "c10::string_view")
+nd_args <- c("input", "weight", "scale")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_mixed_dtypes_linear',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
 #' @rdname torch__mkldnn_reshape
 torch__mkldnn_reshape <- function(self, shape) {
   args <- mget(x = c("self", "shape"))
@@ -6087,18 +6747,16 @@ fun_type = 'namespace'
 }
 
 
-#' @rdname torch__native_batch_norm_legit_out
-torch__native_batch_norm_legit_out <- function(out, save_mean, save_invstd, input, weight, bias, running_mean, running_var, training, momentum, eps) {
-  args <- mget(x = c("out", "save_mean", "save_invstd", "input", "weight", "bias", "running_mean", "running_var", "training", "momentum", "eps"))
-expected_types <- list(out = "Tensor", save_mean = "Tensor", save_invstd = "Tensor", 
-    input = "Tensor", weight = "Tensor", bias = "Tensor", running_mean = "Tensor", 
-    running_var = "Tensor", training = "bool", momentum = "double", 
-    eps = "double")
-nd_args <- c("out", "save_mean", "save_invstd", "input", "weight", "bias", 
-"running_mean", "running_var", "training", "momentum", "eps")
+#' @rdname torch__native_batch_norm_legit_no_training
+torch__native_batch_norm_legit_no_training <- function(input, weight, bias, running_mean, running_var, momentum, eps) {
+  args <- mget(x = c("input", "weight", "bias", "running_mean", "running_var", "momentum", "eps"))
+expected_types <- list(input = "Tensor", weight = "Tensor", bias = "Tensor", running_mean = "Tensor", 
+    running_var = "Tensor", momentum = "double", eps = "double")
+nd_args <- c("input", "weight", "bias", "running_mean", "running_var", "momentum", 
+"eps")
 return_types <- list(list("Tensor", "Tensor", "Tensor"))
 call_c_function(
-fun_name = '_native_batch_norm_legit_out',
+fun_name = '_native_batch_norm_legit_no_training',
 args = args,
 expected_types = expected_types,
 nd_args = nd_args,
@@ -6108,19 +6766,17 @@ fun_type = 'namespace'
 }
 
 
-#' @rdname torch__native_decoder_only_multi_head_attention
-torch__native_decoder_only_multi_head_attention <- function(query, key, value, embed_dim, num_head, qkv_weight, qkv_bias, proj_weight, proj_bias, mask = list(), incr_key = list(), incr_value = list(), need_weights = TRUE, average_attn_weights = TRUE) {
-  args <- mget(x = c("query", "key", "value", "embed_dim", "num_head", "qkv_weight", "qkv_bias", "proj_weight", "proj_bias", "mask", "incr_key", "incr_value", "need_weights", "average_attn_weights"))
-expected_types <- list(query = "Tensor", key = "Tensor", value = "Tensor", embed_dim = "int64_t", 
-    num_head = "int64_t", qkv_weight = "Tensor", qkv_bias = "Tensor", 
-    proj_weight = "Tensor", proj_bias = "Tensor", mask = "Tensor", 
-    incr_key = "Tensor", incr_value = "Tensor", need_weights = "bool", 
-    average_attn_weights = "bool")
-nd_args <- c("query", "key", "value", "embed_dim", "num_head", "qkv_weight", 
-"qkv_bias", "proj_weight", "proj_bias")
-return_types <- list(list("Tensor", "Tensor", "Tensor", "Tensor"))
+#' @rdname torch__native_batch_norm_legit_no_training_out
+torch__native_batch_norm_legit_no_training_out <- function(out0, out1, out2, input, weight, bias, running_mean, running_var, momentum, eps) {
+  args <- mget(x = c("out0", "out1", "out2", "input", "weight", "bias", "running_mean", "running_var", "momentum", "eps"))
+expected_types <- list(out0 = "Tensor", out1 = "Tensor", out2 = "Tensor", input = "Tensor", 
+    weight = "Tensor", bias = "Tensor", running_mean = "Tensor", 
+    running_var = "Tensor", momentum = "double", eps = "double")
+nd_args <- c("out0", "out1", "out2", "input", "weight", "bias", "running_mean", 
+"running_var", "momentum", "eps")
+return_types <- list(list("Tensor", "Tensor", "Tensor"))
 call_c_function(
-fun_name = '_native_decoder_only_multi_head_attention',
+fun_name = '_native_batch_norm_legit_no_training_out',
 args = args,
 expected_types = expected_types,
 nd_args = nd_args,
@@ -6130,21 +6786,18 @@ fun_type = 'namespace'
 }
 
 
-#' @rdname torch__native_decoder_only_multi_head_attention_out
-torch__native_decoder_only_multi_head_attention_out <- function(out0, out1, out2, out3, query, key, value, embed_dim, num_head, qkv_weight, qkv_bias, proj_weight, proj_bias, mask = list(), incr_key = list(), incr_value = list(), need_weights = TRUE, average_attn_weights = TRUE) {
-  args <- mget(x = c("out0", "out1", "out2", "out3", "query", "key", "value", "embed_dim", "num_head", "qkv_weight", "qkv_bias", "proj_weight", "proj_bias", "mask", "incr_key", "incr_value", "need_weights", "average_attn_weights"))
-expected_types <- list(out0 = "Tensor", out1 = "Tensor", out2 = "Tensor", out3 = "Tensor", 
-    query = "Tensor", key = "Tensor", value = "Tensor", embed_dim = "int64_t", 
-    num_head = "int64_t", qkv_weight = "Tensor", qkv_bias = "Tensor", 
-    proj_weight = "Tensor", proj_bias = "Tensor", mask = "Tensor", 
-    incr_key = "Tensor", incr_value = "Tensor", need_weights = "bool", 
-    average_attn_weights = "bool")
-nd_args <- c("out0", "out1", "out2", "out3", "query", "key", "value", "embed_dim", 
-"num_head", "qkv_weight", "qkv_bias", "proj_weight", "proj_bias"
-)
-return_types <- list(list("Tensor", "Tensor", "Tensor", "Tensor"))
+#' @rdname torch__native_batch_norm_legit_out
+torch__native_batch_norm_legit_out <- function(out, save_mean, save_invstd, input, weight, bias, running_mean, running_var, training, momentum, eps) {
+  args <- mget(x = c("out", "save_mean", "save_invstd", "input", "weight", "bias", "running_mean", "running_var", "training", "momentum", "eps"))
+expected_types <- list(out = "Tensor", save_mean = "Tensor", save_invstd = "Tensor", 
+    input = "Tensor", weight = "Tensor", bias = "Tensor", running_mean = "Tensor", 
+    running_var = "Tensor", training = "bool", momentum = "double", 
+    eps = "double")
+nd_args <- c("out", "save_mean", "save_invstd", "input", "weight", "bias", 
+"running_mean", "running_var", "training", "momentum", "eps")
+return_types <- list(list("Tensor", "Tensor", "Tensor"))
 call_c_function(
-fun_name = '_native_decoder_only_multi_head_attention_out',
+fun_name = '_native_batch_norm_legit_out',
 args = args,
 expected_types = expected_types,
 nd_args = nd_args,
@@ -6248,6 +6901,23 @@ fun_type = 'namespace'
 }
 
 
+#' @rdname torch__nested_compute_contiguous_strides_offsets
+torch__nested_compute_contiguous_strides_offsets <- function(nested_size) {
+  args <- mget(x = c("nested_size"))
+expected_types <- list(nested_size = "Tensor")
+nd_args <- "nested_size"
+return_types <- list(list("Tensor", "Tensor"))
+call_c_function(
+fun_name = '_nested_compute_contiguous_strides_offsets',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
 #' @rdname torch__nested_from_padded
 torch__nested_from_padded <- function(padded, cpu_nested_shape_example, fuse_transform_0213 = FALSE) {
   args <- mget(x = c("padded", "cpu_nested_shape_example", "fuse_transform_0213"))
@@ -6318,6 +6988,159 @@ fun_type = 'namespace'
 }
 
 
+#' @rdname torch__nested_get_jagged_dummy
+torch__nested_get_jagged_dummy <- function(any) {
+  args <- mget(x = c("any"))
+expected_types <- list(any = "Tensor")
+nd_args <- "any"
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_nested_get_jagged_dummy',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__nested_get_lengths
+torch__nested_get_lengths <- function(self) {
+  args <- mget(x = c("self"))
+expected_types <- list(self = "Tensor")
+nd_args <- "self"
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_nested_get_lengths',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__nested_get_max_seqlen
+torch__nested_get_max_seqlen <- function(self) {
+  args <- mget(x = c("self"))
+expected_types <- list(self = "Tensor")
+nd_args <- "self"
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_nested_get_max_seqlen',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__nested_get_min_seqlen
+torch__nested_get_min_seqlen <- function(self) {
+  args <- mget(x = c("self"))
+expected_types <- list(self = "Tensor")
+nd_args <- "self"
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_nested_get_min_seqlen',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__nested_get_offsets
+torch__nested_get_offsets <- function(self) {
+  args <- mget(x = c("self"))
+expected_types <- list(self = "Tensor")
+nd_args <- "self"
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_nested_get_offsets',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__nested_get_ragged_idx
+torch__nested_get_ragged_idx <- function(self) {
+  args <- mget(x = c("self"))
+expected_types <- list(self = "Tensor")
+nd_args <- "self"
+return_types <- list(list('int64_t'))
+call_c_function(
+fun_name = '_nested_get_ragged_idx',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__nested_get_values
+torch__nested_get_values <- function(self) {
+  args <- mget(x = c("self"))
+expected_types <- list(self = "Tensor")
+nd_args <- "self"
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_nested_get_values',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__nested_get_values_copy
+torch__nested_get_values_copy <- function(self) {
+  args <- mget(x = c("self"))
+expected_types <- list(self = "Tensor")
+nd_args <- "self"
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_nested_get_values_copy',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__nested_get_values_copy_out
+torch__nested_get_values_copy_out <- function(out, self) {
+  args <- mget(x = c("out", "self"))
+expected_types <- list(out = "Tensor", self = "Tensor")
+nd_args <- c("out", "self")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_nested_get_values_copy_out',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
 #' @rdname torch__nested_select_backward
 torch__nested_select_backward <- function(grad_output, self, dim, index) {
   args <- mget(x = c("grad_output", "self", "dim", "index"))
@@ -6474,6 +7297,23 @@ fun_type = 'namespace'
 }
 
 
+#' @rdname torch__nested_tensor_storage_offsets_out
+torch__nested_tensor_storage_offsets_out <- function(out, self) {
+  args <- mget(x = c("out", "self"))
+expected_types <- list(out = "Tensor", self = "Tensor")
+nd_args <- c("out", "self")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_nested_tensor_storage_offsets_out',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
 #' @rdname torch__nested_tensor_strides_out
 torch__nested_tensor_strides_out <- function(out, self) {
   args <- mget(x = c("out", "self"))
@@ -6495,7 +7335,7 @@ fun_type = 'namespace'
 torch__nested_view_from_buffer <- function(self, nested_size, nested_strides, offsets) {
   args <- mget(x = c("self", "nested_size", "nested_strides", "offsets"))
 expected_types <- list(self = "Tensor", nested_size = "Tensor", nested_strides = "Tensor", 
-    offsets = "IntArrayRef")
+    offsets = "Tensor")
 nd_args <- c("self", "nested_size", "nested_strides", "offsets")
 return_types <- list(list('Tensor'))
 call_c_function(
@@ -6513,7 +7353,7 @@ fun_type = 'namespace'
 torch__nested_view_from_buffer_copy <- function(self, nested_size, nested_strides, offsets) {
   args <- mget(x = c("self", "nested_size", "nested_strides", "offsets"))
 expected_types <- list(self = "Tensor", nested_size = "Tensor", nested_strides = "Tensor", 
-    offsets = "IntArrayRef")
+    offsets = "Tensor")
 nd_args <- c("self", "nested_size", "nested_strides", "offsets")
 return_types <- list(list('Tensor'))
 call_c_function(
@@ -6531,7 +7371,7 @@ fun_type = 'namespace'
 torch__nested_view_from_buffer_copy_out <- function(out, self, nested_size, nested_strides, offsets) {
   args <- mget(x = c("out", "self", "nested_size", "nested_strides", "offsets"))
 expected_types <- list(out = "Tensor", self = "Tensor", nested_size = "Tensor", 
-    nested_strides = "Tensor", offsets = "IntArrayRef")
+    nested_strides = "Tensor", offsets = "Tensor")
 nd_args <- c("out", "self", "nested_size", "nested_strides", "offsets")
 return_types <- list(list('Tensor'))
 call_c_function(
@@ -6545,6 +7385,61 @@ fun_type = 'namespace'
 }
 
 
+#' @rdname torch__nested_view_from_jagged
+torch__nested_view_from_jagged <- function(self, offsets, dummy, lengths = list(), ragged_idx = 1L, min_seqlen = list(), max_seqlen = list()) {
+  args <- mget(x = c("self", "offsets", "dummy", "lengths", "ragged_idx", "min_seqlen", "max_seqlen"))
+expected_types <- list(self = "Tensor", offsets = "Tensor", dummy = "Tensor", lengths = "Tensor", 
+    ragged_idx = "int64_t", min_seqlen = "Tensor", max_seqlen = "Tensor")
+nd_args <- c("self", "offsets", "dummy")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_nested_view_from_jagged',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__nested_view_from_jagged_copy
+torch__nested_view_from_jagged_copy <- function(self, offsets, dummy, lengths = list(), ragged_idx = 1L, min_seqlen = list(), max_seqlen = list()) {
+  args <- mget(x = c("self", "offsets", "dummy", "lengths", "ragged_idx", "min_seqlen", "max_seqlen"))
+expected_types <- list(self = "Tensor", offsets = "Tensor", dummy = "Tensor", lengths = "Tensor", 
+    ragged_idx = "int64_t", min_seqlen = "Tensor", max_seqlen = "Tensor")
+nd_args <- c("self", "offsets", "dummy")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_nested_view_from_jagged_copy',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__nested_view_from_jagged_copy_out
+torch__nested_view_from_jagged_copy_out <- function(out, self, offsets, dummy, lengths = list(), ragged_idx = 1L, min_seqlen = list(), max_seqlen = list()) {
+  args <- mget(x = c("out", "self", "offsets", "dummy", "lengths", "ragged_idx", "min_seqlen", "max_seqlen"))
+expected_types <- list(out = "Tensor", self = "Tensor", offsets = "Tensor", dummy = "Tensor", 
+    lengths = "Tensor", ragged_idx = "int64_t", min_seqlen = "Tensor", 
+    max_seqlen = "Tensor")
+nd_args <- c("out", "self", "offsets", "dummy")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_nested_view_from_jagged_copy_out',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
 #' @rdname torch__new_zeros_with_same_feature_meta
 torch__new_zeros_with_same_feature_meta <- function(self, other, self_num_batch_dims = 0L) {
   args <- mget(x = c("self", "other", "self_num_batch_dims"))
@@ -6722,6 +7617,23 @@ fun_type = 'namespace'
 }
 
 
+#' @rdname torch__padded_dense_to_jagged_forward
+torch__padded_dense_to_jagged_forward <- function(dense, offsets, total_L = NULL) {
+  args <- mget(x = c("dense", "offsets", "total_L"))
+expected_types <- list(dense = "Tensor", offsets = "TensorList", total_L = "int64_t")
+nd_args <- c("dense", "offsets")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_padded_dense_to_jagged_forward',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
 #' @rdname torch__pdist_backward
 torch__pdist_backward <- function(grad, self, p, pdist) {
   args <- mget(x = c("grad", "self", "p", "pdist"))
@@ -6859,6 +7771,40 @@ fun_type = 'namespace'
 }
 
 
+#' @rdname torch__print
+torch__print <- function(s) {
+  args <- mget(x = c("s"))
+expected_types <- list(s = "c10::string_view")
+nd_args <- "s"
+return_types <- list(list("void"))
+call_c_function(
+fun_name = '_print',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__propagate_xla_data
+torch__propagate_xla_data <- function(input, output) {
+  args <- mget(x = c("input", "output"))
+expected_types <- list(input = "Tensor", output = "Tensor")
+nd_args <- c("input", "output")
+return_types <- list(list("void"))
+call_c_function(
+fun_name = '_propagate_xla_data',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
 #' @rdname torch__remove_batch_dim
 torch__remove_batch_dim <- function(self, level, batch_size, out_dim) {
   args <- mget(x = c("self", "level", "batch_size", "out_dim"))
@@ -7030,6 +7976,23 @@ fun_type = 'namespace'
 }
 
 
+#' @rdname torch__safe_softmax
+torch__safe_softmax <- function(self, dim, dtype = NULL) {
+  args <- mget(x = c("self", "dim", "dtype"))
+expected_types <- list(self = "Tensor", dim = "int64_t", dtype = "ScalarType")
+nd_args <- c("self", "dim")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_safe_softmax',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
 #' @rdname torch__sample_dirichlet
 torch__sample_dirichlet <- function(self, generator = NULL) {
   args <- mget(x = c("self", "generator"))
@@ -7081,15 +8044,16 @@ fun_type = 'namespace'
 }
 
 
-#' @rdname torch__scaled_dot_product_attention
-torch__scaled_dot_product_attention <- function(query, key, value, attn_mask = list(), dropout_p = 0L, need_attn_weights = FALSE, is_causal = FALSE) {
-  args <- mget(x = c("query", "key", "value", "attn_mask", "dropout_p", "need_attn_weights", "is_causal"))
+#' @rdname torch__scaled_dot_product_attention_math
+torch__scaled_dot_product_attention_math <- function(query, key, value, attn_mask = list(), dropout_p = 0L, is_causal = FALSE, dropout_mask = list(), scale = NULL, enable_gqa = FALSE) {
+  args <- mget(x = c("query", "key", "value", "attn_mask", "dropout_p", "is_causal", "dropout_mask", "scale", "enable_gqa"))
 expected_types <- list(query = "Tensor", key = "Tensor", value = "Tensor", attn_mask = "Tensor", 
-    dropout_p = "double", need_attn_weights = "bool", is_causal = "bool")
+    dropout_p = "double", is_causal = "bool", dropout_mask = "Tensor", 
+    scale = "double", enable_gqa = "bool")
 nd_args <- c("query", "key", "value")
 return_types <- list(list("Tensor", "Tensor"))
 call_c_function(
-fun_name = '_scaled_dot_product_attention',
+fun_name = '_scaled_dot_product_attention_math',
 args = args,
 expected_types = expected_types,
 nd_args = nd_args,
@@ -7099,15 +8063,58 @@ fun_type = 'namespace'
 }
 
 
-#' @rdname torch__scaled_dot_product_attention_math
-torch__scaled_dot_product_attention_math <- function(query, key, value, attn_mask = list(), dropout_p = 0L, is_causal = FALSE, dropout_mask = list()) {
-  args <- mget(x = c("query", "key", "value", "attn_mask", "dropout_p", "is_causal", "dropout_mask"))
+#' @rdname torch__scaled_dot_product_attention_math_for_mps
+torch__scaled_dot_product_attention_math_for_mps <- function(query, key, value, attn_mask = list(), dropout_p = 0L, is_causal = FALSE, dropout_mask = list(), scale = NULL) {
+  args <- mget(x = c("query", "key", "value", "attn_mask", "dropout_p", "is_causal", "dropout_mask", "scale"))
 expected_types <- list(query = "Tensor", key = "Tensor", value = "Tensor", attn_mask = "Tensor", 
-    dropout_p = "double", is_causal = "bool", dropout_mask = "Tensor")
+    dropout_p = "double", is_causal = "bool", dropout_mask = "Tensor", 
+    scale = "double")
 nd_args <- c("query", "key", "value")
 return_types <- list(list("Tensor", "Tensor"))
 call_c_function(
-fun_name = '_scaled_dot_product_attention_math',
+fun_name = '_scaled_dot_product_attention_math_for_mps',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__scaled_dot_product_cudnn_attention
+torch__scaled_dot_product_cudnn_attention <- function(query, key, value, attn_bias, compute_log_sumexp, dropout_p = 0L, is_causal = FALSE, return_debug_mask = FALSE, scale = NULL) {
+  args <- mget(x = c("query", "key", "value", "attn_bias", "compute_log_sumexp", "dropout_p", "is_causal", "return_debug_mask", "scale"))
+expected_types <- list(query = "Tensor", key = "Tensor", value = "Tensor", attn_bias = "Tensor", 
+    compute_log_sumexp = "bool", dropout_p = "double", is_causal = "bool", 
+    return_debug_mask = "bool", scale = "double")
+nd_args <- c("query", "key", "value", "attn_bias", "compute_log_sumexp")
+return_types <- list(list("Tensor", "Tensor", "Tensor", "Tensor", "int64_t", "int64_t",     "Tensor", "Tensor", "Tensor"))
+call_c_function(
+fun_name = '_scaled_dot_product_cudnn_attention',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__scaled_dot_product_cudnn_attention_backward
+torch__scaled_dot_product_cudnn_attention_backward <- function(grad_out, query, key, value, out, logsumexp, philox_seed, philox_offset, attn_bias, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, scale = NULL) {
+  args <- mget(x = c("grad_out", "query", "key", "value", "out", "logsumexp", "philox_seed", "philox_offset", "attn_bias", "cum_seq_q", "cum_seq_k", "max_q", "max_k", "dropout_p", "is_causal", "scale"))
+expected_types <- list(grad_out = "Tensor", query = "Tensor", key = "Tensor", value = "Tensor", 
+    out = "Tensor", logsumexp = "Tensor", philox_seed = "Tensor", 
+    philox_offset = "Tensor", attn_bias = "Tensor", cum_seq_q = "Tensor", 
+    cum_seq_k = "Tensor", max_q = "int64_t", max_k = "int64_t", 
+    dropout_p = "double", is_causal = "bool", scale = "double")
+nd_args <- c("grad_out", "query", "key", "value", "out", "logsumexp", "philox_seed", 
+"philox_offset", "attn_bias", "cum_seq_q", "cum_seq_k", "max_q", 
+"max_k", "dropout_p", "is_causal")
+return_types <- list(list("Tensor", "Tensor", "Tensor"))
+call_c_function(
+fun_name = '_scaled_dot_product_cudnn_attention_backward',
 args = args,
 expected_types = expected_types,
 nd_args = nd_args,
@@ -7118,12 +8125,13 @@ fun_type = 'namespace'
 
 
 #' @rdname torch__scaled_dot_product_efficient_attention
-torch__scaled_dot_product_efficient_attention <- function(query, key, value, compute_log_sumexp, is_causal = FALSE) {
-  args <- mget(x = c("query", "key", "value", "compute_log_sumexp", "is_causal"))
-expected_types <- list(query = "Tensor", key = "Tensor", value = "Tensor", compute_log_sumexp = "bool", 
-    is_causal = "bool")
-nd_args <- c("query", "key", "value", "compute_log_sumexp")
-return_types <- list(list("Tensor", "Tensor"))
+torch__scaled_dot_product_efficient_attention <- function(query, key, value, attn_bias, compute_log_sumexp, dropout_p = 0L, is_causal = FALSE, scale = NULL) {
+  args <- mget(x = c("query", "key", "value", "attn_bias", "compute_log_sumexp", "dropout_p", "is_causal", "scale"))
+expected_types <- list(query = "Tensor", key = "Tensor", value = "Tensor", attn_bias = "Tensor", 
+    compute_log_sumexp = "bool", dropout_p = "double", is_causal = "bool", 
+    scale = "double")
+nd_args <- c("query", "key", "value", "attn_bias", "compute_log_sumexp")
+return_types <- list(list("Tensor", "Tensor", "Tensor", "Tensor"))
 call_c_function(
 fun_name = '_scaled_dot_product_efficient_attention',
 args = args,
@@ -7136,13 +8144,17 @@ fun_type = 'namespace'
 
 
 #' @rdname torch__scaled_dot_product_efficient_attention_backward
-torch__scaled_dot_product_efficient_attention_backward <- function(grad_out_, query, key, value, out, logsumexp, is_causal = FALSE, chunk_grad_outputs = FALSE) {
-  args <- mget(x = c("grad_out_", "query", "key", "value", "out", "logsumexp", "is_causal", "chunk_grad_outputs"))
+torch__scaled_dot_product_efficient_attention_backward <- function(grad_out_, query, key, value, attn_bias, out, logsumexp, philox_seed, philox_offset, dropout_p, grad_input_mask, is_causal = FALSE, scale = NULL) {
+  args <- mget(x = c("grad_out_", "query", "key", "value", "attn_bias", "out", "logsumexp", "philox_seed", "philox_offset", "dropout_p", "grad_input_mask", "is_causal", "scale"))
 expected_types <- list(grad_out_ = "Tensor", query = "Tensor", key = "Tensor", 
-    value = "Tensor", out = "Tensor", logsumexp = "Tensor", is_causal = "bool", 
-    chunk_grad_outputs = "bool")
-nd_args <- c("grad_out_", "query", "key", "value", "out", "logsumexp")
-return_types <- list(list("Tensor", "Tensor", "Tensor"))
+    value = "Tensor", attn_bias = "Tensor", out = "Tensor", logsumexp = "Tensor", 
+    philox_seed = "Tensor", philox_offset = "Tensor", dropout_p = "double", 
+    grad_input_mask = "::std::array<bool,4>", is_causal = "bool", 
+    scale = "double")
+nd_args <- c("grad_out_", "query", "key", "value", "attn_bias", "out", "logsumexp", 
+"philox_seed", "philox_offset", "dropout_p", "grad_input_mask"
+)
+return_types <- list(list("Tensor", "Tensor", "Tensor", "Tensor"))
 call_c_function(
 fun_name = '_scaled_dot_product_efficient_attention_backward',
 args = args,
@@ -7155,12 +8167,12 @@ fun_type = 'namespace'
 
 
 #' @rdname torch__scaled_dot_product_flash_attention
-torch__scaled_dot_product_flash_attention <- function(query, key, value, dropout_p = 0L, is_causal = FALSE, return_debug_mask = FALSE) {
-  args <- mget(x = c("query", "key", "value", "dropout_p", "is_causal", "return_debug_mask"))
+torch__scaled_dot_product_flash_attention <- function(query, key, value, dropout_p = 0L, is_causal = FALSE, return_debug_mask = FALSE, scale = NULL) {
+  args <- mget(x = c("query", "key", "value", "dropout_p", "is_causal", "return_debug_mask", "scale"))
 expected_types <- list(query = "Tensor", key = "Tensor", value = "Tensor", dropout_p = "double", 
-    is_causal = "bool", return_debug_mask = "bool")
+    is_causal = "bool", return_debug_mask = "bool", scale = "double")
 nd_args <- c("query", "key", "value")
-return_types <- list(list("Tensor", "Tensor", "Tensor", "Tensor", "int64_t", "int64_t",     "int64_t", "int64_t", "Tensor"))
+return_types <- list(list("Tensor", "Tensor", "Tensor", "Tensor", "int64_t", "int64_t",     "Tensor", "Tensor", "Tensor"))
 call_c_function(
 fun_name = '_scaled_dot_product_flash_attention',
 args = args,
@@ -7173,13 +8185,13 @@ fun_type = 'namespace'
 
 
 #' @rdname torch__scaled_dot_product_flash_attention_backward
-torch__scaled_dot_product_flash_attention_backward <- function(grad_out, query, key, value, out, logsumexp, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, philox_seed, philox_offset) {
-  args <- mget(x = c("grad_out", "query", "key", "value", "out", "logsumexp", "cum_seq_q", "cum_seq_k", "max_q", "max_k", "dropout_p", "is_causal", "philox_seed", "philox_offset"))
+torch__scaled_dot_product_flash_attention_backward <- function(grad_out, query, key, value, out, logsumexp, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, philox_seed, philox_offset, scale = NULL) {
+  args <- mget(x = c("grad_out", "query", "key", "value", "out", "logsumexp", "cum_seq_q", "cum_seq_k", "max_q", "max_k", "dropout_p", "is_causal", "philox_seed", "philox_offset", "scale"))
 expected_types <- list(grad_out = "Tensor", query = "Tensor", key = "Tensor", value = "Tensor", 
     out = "Tensor", logsumexp = "Tensor", cum_seq_q = "Tensor", 
     cum_seq_k = "Tensor", max_q = "int64_t", max_k = "int64_t", 
-    dropout_p = "double", is_causal = "bool", philox_seed = "int64_t", 
-    philox_offset = "int64_t")
+    dropout_p = "double", is_causal = "bool", philox_seed = "Tensor", 
+    philox_offset = "Tensor", scale = "double")
 nd_args <- c("grad_out", "query", "key", "value", "out", "logsumexp", "cum_seq_q", 
 "cum_seq_k", "max_q", "max_k", "dropout_p", "is_causal", "philox_seed", 
 "philox_offset")
@@ -7195,6 +8207,125 @@ fun_type = 'namespace'
 }
 
 
+#' @rdname torch__scaled_dot_product_flash_attention_for_cpu
+torch__scaled_dot_product_flash_attention_for_cpu <- function(query, key, value, dropout_p = 0L, is_causal = FALSE, attn_mask = list(), scale = NULL) {
+  args <- mget(x = c("query", "key", "value", "dropout_p", "is_causal", "attn_mask", "scale"))
+expected_types <- list(query = "Tensor", key = "Tensor", value = "Tensor", dropout_p = "double", 
+    is_causal = "bool", attn_mask = "Tensor", scale = "double")
+nd_args <- c("query", "key", "value")
+return_types <- list(list("Tensor", "Tensor"))
+call_c_function(
+fun_name = '_scaled_dot_product_flash_attention_for_cpu',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__scaled_dot_product_flash_attention_for_cpu_backward
+torch__scaled_dot_product_flash_attention_for_cpu_backward <- function(grad_out, query, key, value, out, logsumexp, dropout_p, is_causal, attn_mask = list(), scale = NULL) {
+  args <- mget(x = c("grad_out", "query", "key", "value", "out", "logsumexp", "dropout_p", "is_causal", "attn_mask", "scale"))
+expected_types <- list(grad_out = "Tensor", query = "Tensor", key = "Tensor", value = "Tensor", 
+    out = "Tensor", logsumexp = "Tensor", dropout_p = "double", 
+    is_causal = "bool", attn_mask = "Tensor", scale = "double")
+nd_args <- c("grad_out", "query", "key", "value", "out", "logsumexp", "dropout_p", 
+"is_causal")
+return_types <- list(list("Tensor", "Tensor", "Tensor"))
+call_c_function(
+fun_name = '_scaled_dot_product_flash_attention_for_cpu_backward',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__scaled_dot_product_fused_attention_overrideable
+torch__scaled_dot_product_fused_attention_overrideable <- function(query, key, value, attn_bias = list(), dropout_p = 0L, is_causal = FALSE, return_debug_mask = FALSE, scale = NULL) {
+  args <- mget(x = c("query", "key", "value", "attn_bias", "dropout_p", "is_causal", "return_debug_mask", "scale"))
+expected_types <- list(query = "Tensor", key = "Tensor", value = "Tensor", attn_bias = "Tensor", 
+    dropout_p = "double", is_causal = "bool", return_debug_mask = "bool", 
+    scale = "double")
+nd_args <- c("query", "key", "value")
+return_types <- list(list("Tensor", "Tensor", "Tensor", "Tensor", "int64_t", "int64_t",     "Tensor", "Tensor", "Tensor"))
+call_c_function(
+fun_name = '_scaled_dot_product_fused_attention_overrideable',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__scaled_dot_product_fused_attention_overrideable_backward
+torch__scaled_dot_product_fused_attention_overrideable_backward <- function(grad_out, query, key, value, attn_bias, grad_input_mask, out, logsumexp, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, philox_seed, philox_offset, scale = NULL) {
+  args <- mget(x = c("grad_out", "query", "key", "value", "attn_bias", "grad_input_mask", "out", "logsumexp", "cum_seq_q", "cum_seq_k", "max_q", "max_k", "dropout_p", "is_causal", "philox_seed", "philox_offset", "scale"))
+expected_types <- list(grad_out = "Tensor", query = "Tensor", key = "Tensor", value = "Tensor", 
+    attn_bias = "Tensor", grad_input_mask = "::std::array<bool,4>", 
+    out = "Tensor", logsumexp = "Tensor", cum_seq_q = "Tensor", 
+    cum_seq_k = "Tensor", max_q = "int64_t", max_k = "int64_t", 
+    dropout_p = "double", is_causal = "bool", philox_seed = "Tensor", 
+    philox_offset = "Tensor", scale = "double")
+nd_args <- c("grad_out", "query", "key", "value", "attn_bias", "grad_input_mask", 
+"out", "logsumexp", "cum_seq_q", "cum_seq_k", "max_q", "max_k", 
+"dropout_p", "is_causal", "philox_seed", "philox_offset")
+return_types <- list(list("Tensor", "Tensor", "Tensor", "Tensor"))
+call_c_function(
+fun_name = '_scaled_dot_product_fused_attention_overrideable_backward',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__scaled_mm
+torch__scaled_mm <- function(self, mat2, scale_a, scale_b, bias = list(), scale_result = list(), out_dtype = NULL, use_fast_accum = FALSE) {
+  args <- mget(x = c("self", "mat2", "scale_a", "scale_b", "bias", "scale_result", "out_dtype", "use_fast_accum"))
+expected_types <- list(self = "Tensor", mat2 = "Tensor", scale_a = "Tensor", scale_b = "Tensor", 
+    bias = "Tensor", scale_result = "Tensor", out_dtype = "ScalarType", 
+    use_fast_accum = "bool")
+nd_args <- c("self", "mat2", "scale_a", "scale_b")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_scaled_mm',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__scaled_mm_out
+torch__scaled_mm_out <- function(out, self, mat2, scale_a, scale_b, bias = list(), scale_result = list(), out_dtype = NULL, use_fast_accum = FALSE) {
+  args <- mget(x = c("out", "self", "mat2", "scale_a", "scale_b", "bias", "scale_result", "out_dtype", "use_fast_accum"))
+expected_types <- list(out = "Tensor", self = "Tensor", mat2 = "Tensor", scale_a = "Tensor", 
+    scale_b = "Tensor", bias = "Tensor", scale_result = "Tensor", 
+    out_dtype = "ScalarType", use_fast_accum = "bool")
+nd_args <- c("out", "self", "mat2", "scale_a", "scale_b")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_scaled_mm_out',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
 #' @rdname torch__segment_reduce_backward
 torch__segment_reduce_backward <- function(grad, output, data, reduce, lengths = list(), offsets = list(), axis = 0L, initial = NULL) {
   args <- mget(x = c("grad", "output", "data", "reduce", "lengths", "offsets", "axis", "initial"))
@@ -7613,11 +8744,30 @@ fun_type = 'namespace'
 }
 
 
+#' @rdname torch__sparse_compressed_tensor_with_dims
+torch__sparse_compressed_tensor_with_dims <- function(nnz, dense_dim, size, blocksize, index_dtype, options) {
+  args <- mget(x = c("nnz", "dense_dim", "size", "blocksize", "index_dtype", "options"))
+expected_types <- list(nnz = "int64_t", dense_dim = "int64_t", size = "IntArrayRef", 
+    blocksize = "IntArrayRef", index_dtype = "ScalarType", options = "TensorOptions")
+nd_args <- c("nnz", "dense_dim", "size", "blocksize", "index_dtype", "options"
+)
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_sparse_compressed_tensor_with_dims',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
 #' @rdname torch__sparse_coo_tensor_unsafe
-torch__sparse_coo_tensor_unsafe <- function(indices, values, size, options = list()) {
-  args <- mget(x = c("indices", "values", "size", "options"))
+torch__sparse_coo_tensor_unsafe <- function(indices, values, size, options = list(), is_coalesced = NULL) {
+  args <- mget(x = c("indices", "values", "size", "options", "is_coalesced"))
 expected_types <- list(indices = "Tensor", values = "Tensor", size = "IntArrayRef", 
-    options = "TensorOptions")
+    options = "TensorOptions", is_coalesced = "bool")
 nd_args <- c("indices", "values", "size")
 return_types <- list(list('Tensor'))
 call_c_function(
@@ -7650,10 +8800,11 @@ fun_type = 'namespace'
 
 
 #' @rdname torch__sparse_coo_tensor_with_dims_and_tensors
-torch__sparse_coo_tensor_with_dims_and_tensors <- function(sparse_dim, dense_dim, size, indices, values, options) {
-  args <- mget(x = c("sparse_dim", "dense_dim", "size", "indices", "values", "options"))
+torch__sparse_coo_tensor_with_dims_and_tensors <- function(sparse_dim, dense_dim, size, indices, values, options, is_coalesced = NULL) {
+  args <- mget(x = c("sparse_dim", "dense_dim", "size", "indices", "values", "options", "is_coalesced"))
 expected_types <- list(sparse_dim = "int64_t", dense_dim = "int64_t", size = "IntArrayRef", 
-    indices = "Tensor", values = "Tensor", options = "TensorOptions")
+    indices = "Tensor", values = "Tensor", options = "TensorOptions", 
+    is_coalesced = "bool")
 nd_args <- c("sparse_dim", "dense_dim", "size", "indices", "values", "options"
 )
 return_types <- list(list('Tensor'))
@@ -7669,10 +8820,11 @@ fun_type = 'namespace'
 
 
 #' @rdname torch__sparse_coo_tensor_with_dims_and_tensors_out
-torch__sparse_coo_tensor_with_dims_and_tensors_out <- function(out, sparse_dim, dense_dim, size, indices, values) {
-  args <- mget(x = c("out", "sparse_dim", "dense_dim", "size", "indices", "values"))
+torch__sparse_coo_tensor_with_dims_and_tensors_out <- function(out, sparse_dim, dense_dim, size, indices, values, is_coalesced = NULL) {
+  args <- mget(x = c("out", "sparse_dim", "dense_dim", "size", "indices", "values", "is_coalesced"))
 expected_types <- list(out = "Tensor", sparse_dim = "int64_t", dense_dim = "int64_t", 
-    size = "IntArrayRef", indices = "Tensor", values = "Tensor")
+    size = "IntArrayRef", indices = "Tensor", values = "Tensor", 
+    is_coalesced = "bool")
 nd_args <- c("out", "sparse_dim", "dense_dim", "size", "indices", "values"
 )
 return_types <- list(list('Tensor'))
@@ -7884,6 +9036,23 @@ fun_type = 'namespace'
 }
 
 
+#' @rdname torch__sparse_mask_projection_out
+torch__sparse_mask_projection_out <- function(out, self, mask, accumulate_matches = FALSE) {
+  args <- mget(x = c("out", "self", "mask", "accumulate_matches"))
+expected_types <- list(out = "Tensor", self = "Tensor", mask = "Tensor", accumulate_matches = "bool")
+nd_args <- c("out", "self", "mask")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_sparse_mask_projection_out',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
 #' @rdname torch__sparse_mm
 torch__sparse_mm <- function(sparse, dense, reduce) {
   args <- mget(x = c("sparse", "dense", "reduce"))
@@ -7937,6 +9106,111 @@ fun_type = 'namespace'
 }
 
 
+#' @rdname torch__sparse_semi_structured_addmm
+torch__sparse_semi_structured_addmm <- function(input, mat1, mat1_meta, mat2, alpha = 1L, beta = 1L, out_dtype = NULL) {
+  args <- mget(x = c("input", "mat1", "mat1_meta", "mat2", "alpha", "beta", "out_dtype"))
+expected_types <- list(input = "Tensor", mat1 = "Tensor", mat1_meta = "Tensor", 
+    mat2 = "Tensor", alpha = "Scalar", beta = "Scalar", out_dtype = "ScalarType")
+nd_args <- c("input", "mat1", "mat1_meta", "mat2")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_sparse_semi_structured_addmm',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__sparse_semi_structured_apply
+torch__sparse_semi_structured_apply <- function(input, thread_masks) {
+  args <- mget(x = c("input", "thread_masks"))
+expected_types <- list(input = "Tensor", thread_masks = "Tensor")
+nd_args <- c("input", "thread_masks")
+return_types <- list(list("Tensor", "Tensor"))
+call_c_function(
+fun_name = '_sparse_semi_structured_apply',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__sparse_semi_structured_apply_dense
+torch__sparse_semi_structured_apply_dense <- function(input, thread_masks) {
+  args <- mget(x = c("input", "thread_masks"))
+expected_types <- list(input = "Tensor", thread_masks = "Tensor")
+nd_args <- c("input", "thread_masks")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_sparse_semi_structured_apply_dense',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__sparse_semi_structured_linear
+torch__sparse_semi_structured_linear <- function(input, weight, meta, bias = list(), activation = NULL, out_dtype = NULL) {
+  args <- mget(x = c("input", "weight", "meta", "bias", "activation", "out_dtype"))
+expected_types <- list(input = "Tensor", weight = "Tensor", meta = "Tensor", bias = "Tensor", 
+    activation = "c10::string_view", out_dtype = "ScalarType")
+nd_args <- c("input", "weight", "meta")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_sparse_semi_structured_linear',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__sparse_semi_structured_mm
+torch__sparse_semi_structured_mm <- function(mat1, mat1_meta, mat2, out_dtype = NULL) {
+  args <- mget(x = c("mat1", "mat1_meta", "mat2", "out_dtype"))
+expected_types <- list(mat1 = "Tensor", mat1_meta = "Tensor", mat2 = "Tensor", 
+    out_dtype = "ScalarType")
+nd_args <- c("mat1", "mat1_meta", "mat2")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_sparse_semi_structured_mm',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__sparse_semi_structured_tile
+torch__sparse_semi_structured_tile <- function(input, algorithm = "", use_cutlass = TRUE) {
+  args <- mget(x = c("input", "algorithm", "use_cutlass"))
+expected_types <- list(input = "Tensor", algorithm = "c10::string_view", use_cutlass = "bool")
+nd_args <- "input"
+return_types <- list(list("Tensor", "Tensor", "Tensor", "Tensor", "Tensor"))
+call_c_function(
+fun_name = '_sparse_semi_structured_tile',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
 #' @rdname torch__sparse_softmax
 torch__sparse_softmax <- function(self, dim, dtype = NULL, half_to_float) {
   args <- mget(x = c("self", "dim", "dtype", "half_to_float"))
@@ -8146,6 +9420,23 @@ fun_type = 'namespace'
 }
 
 
+#' @rdname torch__spsolve
+torch__spsolve <- function(A, B, left = TRUE) {
+  args <- mget(x = c("A", "B", "left"))
+expected_types <- list(A = "Tensor", B = "Tensor", left = "bool")
+nd_args <- c("A", "B")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_spsolve',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
 #' @rdname torch__stack
 torch__stack <- function(tensors, dim = 1L) {
   args <- mget(x = c("tensors", "dim"))
@@ -8350,6 +9641,40 @@ fun_type = 'namespace'
 }
 
 
+#' @rdname torch__test_functorch_fallback
+torch__test_functorch_fallback <- function(self, other) {
+  args <- mget(x = c("self", "other"))
+expected_types <- list(self = "Tensor", other = "Tensor")
+nd_args <- c("self", "other")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_test_functorch_fallback',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__test_functorch_fallback_out
+torch__test_functorch_fallback_out <- function(out, self, other) {
+  args <- mget(x = c("out", "self", "other"))
+expected_types <- list(out = "Tensor", self = "Tensor", other = "Tensor")
+nd_args <- c("out", "self", "other")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_test_functorch_fallback_out',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
 #' @rdname torch__test_optional_filled_intlist
 torch__test_optional_filled_intlist <- function(values, addends) {
   args <- mget(x = c("values", "addends"))
@@ -8452,6 +9777,23 @@ fun_type = 'namespace'
 }
 
 
+#' @rdname torch__test_parallel_materialize
+torch__test_parallel_materialize <- function(self, num_parallel, skip_first = FALSE) {
+  args <- mget(x = c("self", "num_parallel", "skip_first"))
+expected_types <- list(self = "Tensor", num_parallel = "int64_t", skip_first = "bool")
+nd_args <- c("self", "num_parallel")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_test_parallel_materialize',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
 #' @rdname torch__test_serialization_subcmul
 torch__test_serialization_subcmul <- function(self, other, alpha = 1L) {
   args <- mget(x = c("self", "other", "alpha"))
@@ -8764,9 +10106,9 @@ fun_type = 'namespace'
 
 
 #' @rdname torch__to_dense_out
-torch__to_dense_out <- function(out, self, dtype = NULL) {
-  args <- mget(x = c("out", "self", "dtype"))
-expected_types <- list(out = "Tensor", self = "Tensor", dtype = "ScalarType")
+torch__to_dense_out <- function(out, self, dtype = NULL, masked_grad = NULL) {
+  args <- mget(x = c("out", "self", "dtype", "masked_grad"))
+expected_types <- list(out = "Tensor", self = "Tensor", dtype = "ScalarType", masked_grad = "bool")
 nd_args <- c("out", "self")
 return_types <- list(list('Tensor'))
 call_c_function(
@@ -8780,14 +10122,15 @@ fun_type = 'namespace'
 }
 
 
-#' @rdname torch__transform_bias_rescale_qkv
-torch__transform_bias_rescale_qkv <- function(qkv, qkv_bias, num_heads) {
-  args <- mget(x = c("qkv", "qkv_bias", "num_heads"))
-expected_types <- list(qkv = "Tensor", qkv_bias = "Tensor", num_heads = "int64_t")
-nd_args <- c("qkv", "qkv_bias", "num_heads")
-return_types <- list(list("Tensor", "Tensor", "Tensor"))
+#' @rdname torch__to_sparse_bsc_out
+torch__to_sparse_bsc_out <- function(out, self, blocksize, dense_dim = NULL) {
+  args <- mget(x = c("out", "self", "blocksize", "dense_dim"))
+expected_types <- list(out = "Tensor", self = "Tensor", blocksize = "IntArrayRef", 
+    dense_dim = "int64_t")
+nd_args <- c("out", "self", "blocksize")
+return_types <- list(list('Tensor'))
 call_c_function(
-fun_name = '_transform_bias_rescale_qkv',
+fun_name = '_to_sparse_bsc_out',
 args = args,
 expected_types = expected_types,
 nd_args = nd_args,
@@ -8797,15 +10140,15 @@ fun_type = 'namespace'
 }
 
 
-#' @rdname torch__transform_bias_rescale_qkv_out
-torch__transform_bias_rescale_qkv_out <- function(out0, out1, out2, qkv, qkv_bias, num_heads) {
-  args <- mget(x = c("out0", "out1", "out2", "qkv", "qkv_bias", "num_heads"))
-expected_types <- list(out0 = "Tensor", out1 = "Tensor", out2 = "Tensor", qkv = "Tensor", 
-    qkv_bias = "Tensor", num_heads = "int64_t")
-nd_args <- c("out0", "out1", "out2", "qkv", "qkv_bias", "num_heads")
-return_types <- list(list("Tensor", "Tensor", "Tensor"))
+#' @rdname torch__to_sparse_bsr_out
+torch__to_sparse_bsr_out <- function(out, self, blocksize, dense_dim = NULL) {
+  args <- mget(x = c("out", "self", "blocksize", "dense_dim"))
+expected_types <- list(out = "Tensor", self = "Tensor", blocksize = "IntArrayRef", 
+    dense_dim = "int64_t")
+nd_args <- c("out", "self", "blocksize")
+return_types <- list(list('Tensor'))
 call_c_function(
-fun_name = '_transform_bias_rescale_qkv_out',
+fun_name = '_to_sparse_bsr_out',
 args = args,
 expected_types = expected_types,
 nd_args = nd_args,
@@ -8815,23 +10158,83 @@ fun_type = 'namespace'
 }
 
 
-#' @rdname torch__transformer_decoder_only_layer_fwd
-torch__transformer_decoder_only_layer_fwd <- function(src, embed_dim, num_heads, qkv_weight, qkv_bias, proj_weight, proj_bias, use_gelu, norm_first, eps, norm_weight_1, norm_bias_1, norm_weight_2, norm_bias_2, ffn_weight_1, ffn_bias_1, ffn_weight_2, ffn_bias_2, mask = list(), incr_key = list(), incr_value = list()) {
-  args <- mget(x = c("src", "embed_dim", "num_heads", "qkv_weight", "qkv_bias", "proj_weight", "proj_bias", "use_gelu", "norm_first", "eps", "norm_weight_1", "norm_bias_1", "norm_weight_2", "norm_bias_2", "ffn_weight_1", "ffn_bias_1", "ffn_weight_2", "ffn_bias_2", "mask", "incr_key", "incr_value"))
-expected_types <- list(src = "Tensor", embed_dim = "int64_t", num_heads = "int64_t", 
-    qkv_weight = "Tensor", qkv_bias = "Tensor", proj_weight = "Tensor", 
-    proj_bias = "Tensor", use_gelu = "bool", norm_first = "bool", 
-    eps = "double", norm_weight_1 = "Tensor", norm_bias_1 = "Tensor", 
-    norm_weight_2 = "Tensor", norm_bias_2 = "Tensor", ffn_weight_1 = "Tensor", 
-    ffn_bias_1 = "Tensor", ffn_weight_2 = "Tensor", ffn_bias_2 = "Tensor", 
-    mask = "Tensor", incr_key = "Tensor", incr_value = "Tensor")
-nd_args <- c("src", "embed_dim", "num_heads", "qkv_weight", "qkv_bias", 
-"proj_weight", "proj_bias", "use_gelu", "norm_first", "eps", 
-"norm_weight_1", "norm_bias_1", "norm_weight_2", "norm_bias_2", 
-"ffn_weight_1", "ffn_bias_1", "ffn_weight_2", "ffn_bias_2")
+#' @rdname torch__to_sparse_csc_out
+torch__to_sparse_csc_out <- function(out, self, dense_dim = NULL) {
+  args <- mget(x = c("out", "self", "dense_dim"))
+expected_types <- list(out = "Tensor", self = "Tensor", dense_dim = "int64_t")
+nd_args <- c("out", "self")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_to_sparse_csc_out',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__to_sparse_csr_out
+torch__to_sparse_csr_out <- function(out, self, dense_dim = NULL) {
+  args <- mget(x = c("out", "self", "dense_dim"))
+expected_types <- list(out = "Tensor", self = "Tensor", dense_dim = "int64_t")
+nd_args <- c("out", "self")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_to_sparse_csr_out',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__to_sparse_out
+torch__to_sparse_out <- function(out, self, layout = NULL, sparse_dim, blocksize = NULL, dense_dim = NULL) {
+  args <- mget(x = c("out", "self", "layout", "sparse_dim", "blocksize", "dense_dim"))
+expected_types <- list(out = "Tensor", self = "Tensor", layout = "Layout", sparse_dim = "int64_t", 
+    blocksize = "IntArrayRef", dense_dim = "int64_t")
+nd_args <- c("out", "self", "sparse_dim")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_to_sparse_out',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__to_sparse_semi_structured
+torch__to_sparse_semi_structured <- function(dense) {
+  args <- mget(x = c("dense"))
+expected_types <- list(dense = "Tensor")
+nd_args <- "dense"
+return_types <- list(list("Tensor", "Tensor"))
+call_c_function(
+fun_name = '_to_sparse_semi_structured',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__transform_bias_rescale_qkv
+torch__transform_bias_rescale_qkv <- function(qkv, qkv_bias, num_heads) {
+  args <- mget(x = c("qkv", "qkv_bias", "num_heads"))
+expected_types <- list(qkv = "Tensor", qkv_bias = "Tensor", num_heads = "int64_t")
+nd_args <- c("qkv", "qkv_bias", "num_heads")
 return_types <- list(list("Tensor", "Tensor", "Tensor"))
 call_c_function(
-fun_name = '_transformer_decoder_only_layer_fwd',
+fun_name = '_transform_bias_rescale_qkv',
 args = args,
 expected_types = expected_types,
 nd_args = nd_args,
@@ -8841,24 +10244,15 @@ fun_type = 'namespace'
 }
 
 
-#' @rdname torch__transformer_decoder_only_layer_fwd_out
-torch__transformer_decoder_only_layer_fwd_out <- function(out0, out1, out2, src, embed_dim, num_heads, qkv_weight, qkv_bias, proj_weight, proj_bias, use_gelu, norm_first, eps, norm_weight_1, norm_bias_1, norm_weight_2, norm_bias_2, ffn_weight_1, ffn_bias_1, ffn_weight_2, ffn_bias_2, mask = list(), incr_key = list(), incr_value = list()) {
-  args <- mget(x = c("out0", "out1", "out2", "src", "embed_dim", "num_heads", "qkv_weight", "qkv_bias", "proj_weight", "proj_bias", "use_gelu", "norm_first", "eps", "norm_weight_1", "norm_bias_1", "norm_weight_2", "norm_bias_2", "ffn_weight_1", "ffn_bias_1", "ffn_weight_2", "ffn_bias_2", "mask", "incr_key", "incr_value"))
-expected_types <- list(out0 = "Tensor", out1 = "Tensor", out2 = "Tensor", src = "Tensor", 
-    embed_dim = "int64_t", num_heads = "int64_t", qkv_weight = "Tensor", 
-    qkv_bias = "Tensor", proj_weight = "Tensor", proj_bias = "Tensor", 
-    use_gelu = "bool", norm_first = "bool", eps = "double", norm_weight_1 = "Tensor", 
-    norm_bias_1 = "Tensor", norm_weight_2 = "Tensor", norm_bias_2 = "Tensor", 
-    ffn_weight_1 = "Tensor", ffn_bias_1 = "Tensor", ffn_weight_2 = "Tensor", 
-    ffn_bias_2 = "Tensor", mask = "Tensor", incr_key = "Tensor", 
-    incr_value = "Tensor")
-nd_args <- c("out0", "out1", "out2", "src", "embed_dim", "num_heads", "qkv_weight", 
-"qkv_bias", "proj_weight", "proj_bias", "use_gelu", "norm_first", 
-"eps", "norm_weight_1", "norm_bias_1", "norm_weight_2", "norm_bias_2", 
-"ffn_weight_1", "ffn_bias_1", "ffn_weight_2", "ffn_bias_2")
+#' @rdname torch__transform_bias_rescale_qkv_out
+torch__transform_bias_rescale_qkv_out <- function(out0, out1, out2, qkv, qkv_bias, num_heads) {
+  args <- mget(x = c("out0", "out1", "out2", "qkv", "qkv_bias", "num_heads"))
+expected_types <- list(out0 = "Tensor", out1 = "Tensor", out2 = "Tensor", qkv = "Tensor", 
+    qkv_bias = "Tensor", num_heads = "int64_t")
+nd_args <- c("out0", "out1", "out2", "qkv", "qkv_bias", "num_heads")
 return_types <- list(list("Tensor", "Tensor", "Tensor"))
 call_c_function(
-fun_name = '_transformer_decoder_only_layer_fwd_out',
+fun_name = '_transform_bias_rescale_qkv_out',
 args = args,
 expected_types = expected_types,
 nd_args = nd_args,
@@ -9124,6 +10518,77 @@ fun_type = 'namespace'
 }
 
 
+#' @rdname torch__unsafe_index
+torch__unsafe_index <- function(self, indices) {
+  args <- mget(x = c("self", "indices"))
+expected_types <- list(self = "Tensor", indices = "const c10::List<::std::optional<Tensor>> &")
+nd_args <- c("self", "indices")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_unsafe_index',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__unsafe_index_put
+torch__unsafe_index_put <- function(self, indices, values, accumulate = FALSE) {
+  args <- mget(x = c("self", "indices", "values", "accumulate"))
+expected_types <- list(self = "Tensor", indices = "const c10::List<::std::optional<Tensor>> &", 
+    values = "Tensor", accumulate = "bool")
+nd_args <- c("self", "indices", "values")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_unsafe_index_put',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__unsafe_masked_index
+torch__unsafe_masked_index <- function(self, mask, indices, fill) {
+  args <- mget(x = c("self", "mask", "indices", "fill"))
+expected_types <- list(self = "Tensor", mask = "Tensor", indices = "const c10::List<::std::optional<Tensor>> &", 
+    fill = "Scalar")
+nd_args <- c("self", "mask", "indices", "fill")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_unsafe_masked_index',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__unsafe_masked_index_put_accumulate
+torch__unsafe_masked_index_put_accumulate <- function(self, mask, indices, values) {
+  args <- mget(x = c("self", "mask", "indices", "values"))
+expected_types <- list(self = "Tensor", mask = "Tensor", indices = "const c10::List<::std::optional<Tensor>> &", 
+    values = "Tensor")
+nd_args <- c("self", "mask", "indices", "values")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_unsafe_masked_index_put_accumulate',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
 #' @rdname torch__unsafe_view
 torch__unsafe_view <- function(self, size) {
   args <- mget(x = c("self", "size"))
@@ -9625,9 +11090,10 @@ fun_type = 'namespace'
 
 
 #' @rdname torch__validate_sparse_coo_tensor_args
-torch__validate_sparse_coo_tensor_args <- function(indices, values, size) {
-  args <- mget(x = c("indices", "values", "size"))
-expected_types <- list(indices = "Tensor", values = "Tensor", size = "IntArrayRef")
+torch__validate_sparse_coo_tensor_args <- function(indices, values, size, is_coalesced = NULL) {
+  args <- mget(x = c("indices", "values", "size", "is_coalesced"))
+expected_types <- list(indices = "Tensor", values = "Tensor", size = "IntArrayRef", 
+    is_coalesced = "bool")
 nd_args <- c("indices", "values", "size")
 return_types <- list(list("void"))
 call_c_function(
@@ -9711,6 +11177,41 @@ fun_type = 'namespace'
 }
 
 
+#' @rdname torch__weight_int4pack_mm
+torch__weight_int4pack_mm <- function(self, mat2, qGroupSize, qScaleAndZeros) {
+  args <- mget(x = c("self", "mat2", "qGroupSize", "qScaleAndZeros"))
+expected_types <- list(self = "Tensor", mat2 = "Tensor", qGroupSize = "int64_t", 
+    qScaleAndZeros = "Tensor")
+nd_args <- c("self", "mat2", "qGroupSize", "qScaleAndZeros")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_weight_int4pack_mm',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__weight_int8pack_mm
+torch__weight_int8pack_mm <- function(self, mat2, scales) {
+  args <- mget(x = c("self", "mat2", "scales"))
+expected_types <- list(self = "Tensor", mat2 = "Tensor", scales = "Tensor")
+nd_args <- c("self", "mat2", "scales")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_weight_int8pack_mm',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
 #' @rdname torch__weight_norm
 torch__weight_norm <- function(v, g, dim = 1L) {
   args <- mget(x = c("v", "g", "dim"))
@@ -9818,6 +11319,44 @@ fun_type = 'namespace'
 }
 
 
+#' @rdname torch__wrapped_linear_prepack
+torch__wrapped_linear_prepack <- function(weight, weight_scale, weight_zero_point, bias) {
+  args <- mget(x = c("weight", "weight_scale", "weight_zero_point", "bias"))
+expected_types <- list(weight = "Tensor", weight_scale = "Tensor", weight_zero_point = "Tensor", 
+    bias = "Tensor")
+nd_args <- c("weight", "weight_scale", "weight_zero_point", "bias")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_wrapped_linear_prepack',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch__wrapped_quantized_linear_prepacked
+torch__wrapped_quantized_linear_prepacked <- function(input, input_scale, input_zero_point, packed_weight, output_scale, output_zero_point, out_channel) {
+  args <- mget(x = c("input", "input_scale", "input_zero_point", "packed_weight", "output_scale", "output_zero_point", "out_channel"))
+expected_types <- list(input = "Tensor", input_scale = "Tensor", input_zero_point = "Tensor", 
+    packed_weight = "Tensor", output_scale = "Tensor", output_zero_point = "Tensor", 
+    out_channel = "int64_t")
+nd_args <- c("input", "input_scale", "input_zero_point", "packed_weight", 
+"output_scale", "output_zero_point", "out_channel")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = '_wrapped_quantized_linear_prepacked',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
 #' @rdname torch_abs
 torch_abs <- function(self) {
   args <- mget(x = c("self"))
@@ -10669,9 +12208,10 @@ fun_type = 'namespace'
 
 
 #' @rdname torch_all
-torch_all <- function(self, dim, keepdim = FALSE) {
+torch_all <- function(self, dim = NULL, keepdim = FALSE) {
   args <- mget(x = c("self", "dim", "keepdim"))
-expected_types <- list(self = "Tensor", dim = c("int64_t", "Dimname"), keepdim = "bool")
+expected_types <- list(self = "Tensor", dim = c("int64_t", "IntArrayRef", "Dimname"
+), keepdim = "bool")
 nd_args <- c("self", "dim")
 return_types <- list(list('Tensor'))
 call_c_function(
@@ -10686,10 +12226,10 @@ fun_type = 'namespace'
 
 
 #' @rdname torch_all_out
-torch_all_out <- function(out, self, dim, keepdim = FALSE) {
+torch_all_out <- function(out, self, dim = NULL, keepdim = FALSE) {
   args <- mget(x = c("out", "self", "dim", "keepdim"))
-expected_types <- list(out = "Tensor", self = "Tensor", dim = c("int64_t", "Dimname"
-), keepdim = "bool")
+expected_types <- list(out = "Tensor", self = "Tensor", dim = c("int64_t", "IntArrayRef", 
+"Dimname"), keepdim = "bool")
 nd_args <- c("out", "self", "dim")
 return_types <- list(list('Tensor'))
 call_c_function(
@@ -10893,9 +12433,10 @@ fun_type = 'namespace'
 
 
 #' @rdname torch_any
-torch_any <- function(self, dim, keepdim = FALSE) {
+torch_any <- function(self, dim = NULL, keepdim = FALSE) {
   args <- mget(x = c("self", "dim", "keepdim"))
-expected_types <- list(self = "Tensor", dim = c("int64_t", "Dimname"), keepdim = "bool")
+expected_types <- list(self = "Tensor", dim = c("int64_t", "IntArrayRef", "Dimname"
+), keepdim = "bool")
 nd_args <- c("self", "dim")
 return_types <- list(list('Tensor'))
 call_c_function(
@@ -10910,10 +12451,10 @@ fun_type = 'namespace'
 
 
 #' @rdname torch_any_out
-torch_any_out <- function(out, self, dim, keepdim = FALSE) {
+torch_any_out <- function(out, self, dim = NULL, keepdim = FALSE) {
   args <- mget(x = c("out", "self", "dim", "keepdim"))
-expected_types <- list(out = "Tensor", self = "Tensor", dim = c("int64_t", "Dimname"
-), keepdim = "bool")
+expected_types <- list(out = "Tensor", self = "Tensor", dim = c("int64_t", "IntArrayRef", 
+"Dimname"), keepdim = "bool")
 nd_args <- c("out", "self", "dim")
 return_types <- list(list('Tensor'))
 call_c_function(
@@ -12085,14 +13626,36 @@ fun_type = 'namespace'
 }
 
 
+#' @rdname torch_batch_norm_backward
+torch_batch_norm_backward <- function(grad_out, input, weight, running_mean, running_var, save_mean, save_var, update, eps, output_mask, reserve) {
+  args <- mget(x = c("grad_out", "input", "weight", "running_mean", "running_var", "save_mean", "save_var", "update", "eps", "output_mask", "reserve"))
+expected_types <- list(grad_out = "Tensor", input = "Tensor", weight = "Tensor", 
+    running_mean = "Tensor", running_var = "Tensor", save_mean = "Tensor", 
+    save_var = "Tensor", update = "bool", eps = "double", output_mask = "::std::array<bool,3>", 
+    reserve = "Tensor")
+nd_args <- c("grad_out", "input", "weight", "running_mean", "running_var", 
+"save_mean", "save_var", "update", "eps", "output_mask", "reserve"
+)
+return_types <- list(list("Tensor", "Tensor", "Tensor"))
+call_c_function(
+fun_name = 'batch_norm_backward',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
 #' @rdname torch_batch_norm_backward_elemt
-torch_batch_norm_backward_elemt <- function(grad_out, input, mean, invstd, weight, mean_dy, mean_dy_xmu, count) {
-  args <- mget(x = c("grad_out", "input", "mean", "invstd", "weight", "mean_dy", "mean_dy_xmu", "count"))
+torch_batch_norm_backward_elemt <- function(grad_out, input, mean, invstd, weight, sum_dy, sum_dy_xmu, count) {
+  args <- mget(x = c("grad_out", "input", "mean", "invstd", "weight", "sum_dy", "sum_dy_xmu", "count"))
 expected_types <- list(grad_out = "Tensor", input = "Tensor", mean = "Tensor", 
-    invstd = "Tensor", weight = "Tensor", mean_dy = "Tensor", 
-    mean_dy_xmu = "Tensor", count = "Tensor")
-nd_args <- c("grad_out", "input", "mean", "invstd", "weight", "mean_dy", 
-"mean_dy_xmu", "count")
+    invstd = "Tensor", weight = "Tensor", sum_dy = "Tensor", 
+    sum_dy_xmu = "Tensor", count = "Tensor")
+nd_args <- c("grad_out", "input", "mean", "invstd", "weight", "sum_dy", 
+"sum_dy_xmu", "count")
 return_types <- list(list('Tensor'))
 call_c_function(
 fun_name = 'batch_norm_backward_elemt',
@@ -12106,13 +13669,13 @@ fun_type = 'namespace'
 
 
 #' @rdname torch_batch_norm_backward_elemt_out
-torch_batch_norm_backward_elemt_out <- function(out, grad_out, input, mean, invstd, weight, mean_dy, mean_dy_xmu, count) {
-  args <- mget(x = c("out", "grad_out", "input", "mean", "invstd", "weight", "mean_dy", "mean_dy_xmu", "count"))
+torch_batch_norm_backward_elemt_out <- function(out, grad_out, input, mean, invstd, weight, sum_dy, sum_dy_xmu, count) {
+  args <- mget(x = c("out", "grad_out", "input", "mean", "invstd", "weight", "sum_dy", "sum_dy_xmu", "count"))
 expected_types <- list(out = "Tensor", grad_out = "Tensor", input = "Tensor", mean = "Tensor", 
-    invstd = "Tensor", weight = "Tensor", mean_dy = "Tensor", 
-    mean_dy_xmu = "Tensor", count = "Tensor")
-nd_args <- c("out", "grad_out", "input", "mean", "invstd", "weight", "mean_dy", 
-"mean_dy_xmu", "count")
+    invstd = "Tensor", weight = "Tensor", sum_dy = "Tensor", 
+    sum_dy_xmu = "Tensor", count = "Tensor")
+nd_args <- c("out", "grad_out", "input", "mean", "invstd", "weight", "sum_dy", 
+"sum_dy_xmu", "count")
 return_types <- list(list('Tensor'))
 call_c_function(
 fun_name = 'batch_norm_backward_elemt_out',
@@ -12967,10 +14530,10 @@ fun_type = 'namespace'
 
 
 #' @rdname torch_can_cast
-torch_can_cast <- function(from, to) {
-  args <- mget(x = c("from", "to"))
-expected_types <- list(from = "ScalarType", to = "ScalarType")
-nd_args <- c("from", "to")
+torch_can_cast <- function(from_, to) {
+  args <- mget(x = c("from_", "to"))
+expected_types <- list(from_ = "ScalarType", to = "ScalarType")
+nd_args <- c("from_", "to")
 return_types <- list(list('bool'))
 call_c_function(
 fun_name = 'can_cast',
@@ -16446,6 +18009,40 @@ fun_type = 'namespace'
 }
 
 
+#' @rdname torch_empty_permuted
+torch_empty_permuted <- function(size, physical_layout, options = list()) {
+  args <- mget(x = c("size", "physical_layout", "options"))
+expected_types <- list(size = "IntArrayRef", physical_layout = "IntArrayRef", options = "TensorOptions")
+nd_args <- c("size", "physical_layout")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = 'empty_permuted',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch_empty_permuted_out
+torch_empty_permuted_out <- function(out, size, physical_layout) {
+  args <- mget(x = c("out", "size", "physical_layout"))
+expected_types <- list(out = "Tensor", size = "IntArrayRef", physical_layout = "IntArrayRef")
+nd_args <- c("out", "size", "physical_layout")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = 'empty_permuted_out',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
 #' @rdname torch_empty_quantized
 torch_empty_quantized <- function(size, qtensor, options = list(), memory_format = NULL) {
   args <- mget(x = c("size", "qtensor", "options", "memory_format"))
@@ -18339,7 +19936,8 @@ fun_type = 'namespace'
 #' @rdname torch_floor_divide_out
 torch_floor_divide_out <- function(out, self, other) {
   args <- mget(x = c("out", "self", "other"))
-expected_types <- list(out = "Tensor", self = "Tensor", other = "Tensor")
+expected_types <- list(out = "Tensor", self = "Tensor", other = c("Tensor", "Scalar"
+))
 nd_args <- c("out", "self", "other")
 return_types <- list(list('Tensor'))
 call_c_function(
@@ -20606,7 +22204,7 @@ fun_type = 'namespace'
 #' @rdname torch_index
 torch_index <- function(self, indices) {
   args <- mget(x = c("self", "indices"))
-expected_types <- list(self = "Tensor", indices = "const c10::List<c10::optional<Tensor>> &")
+expected_types <- list(self = "Tensor", indices = "const c10::List<::std::optional<Tensor>> &")
 nd_args <- c("self", "indices")
 return_types <- list(list('Tensor'))
 call_c_function(
@@ -20731,7 +22329,7 @@ fun_type = 'namespace'
 #' @rdname torch_index_out
 torch_index_out <- function(out, self, indices) {
   args <- mget(x = c("out", "self", "indices"))
-expected_types <- list(out = "Tensor", self = "Tensor", indices = "const c10::List<c10::optional<Tensor>> &")
+expected_types <- list(out = "Tensor", self = "Tensor", indices = "const c10::List<::std::optional<Tensor>> &")
 nd_args <- c("out", "self", "indices")
 return_types <- list(list('Tensor'))
 call_c_function(
@@ -20748,7 +22346,7 @@ fun_type = 'namespace'
 #' @rdname torch_index_put
 torch_index_put <- function(self, indices, values, accumulate = FALSE) {
   args <- mget(x = c("self", "indices", "values", "accumulate"))
-expected_types <- list(self = "Tensor", indices = "const c10::List<c10::optional<Tensor>> &", 
+expected_types <- list(self = "Tensor", indices = "const c10::List<::std::optional<Tensor>> &", 
     values = "Tensor", accumulate = "bool")
 nd_args <- c("self", "indices", "values")
 return_types <- list(list('Tensor'))
@@ -20766,7 +22364,7 @@ fun_type = 'namespace'
 #' @rdname torch_index_put_
 torch_index_put_ <- function(self, indices, values, accumulate = FALSE) {
   args <- mget(x = c("self", "indices", "values", "accumulate"))
-expected_types <- list(self = "Tensor", indices = "const c10::List<c10::optional<Tensor>> &", 
+expected_types <- list(self = "Tensor", indices = "const c10::List<::std::optional<Tensor>> &", 
     values = "Tensor", accumulate = "bool")
 nd_args <- c("self", "indices", "values")
 return_types <- list(list('Tensor'))
@@ -20784,7 +22382,7 @@ fun_type = 'namespace'
 #' @rdname torch_index_put_out
 torch_index_put_out <- function(out, self, indices, values, accumulate = FALSE) {
   args <- mget(x = c("out", "self", "indices", "values", "accumulate"))
-expected_types <- list(out = "Tensor", self = "Tensor", indices = "const c10::List<c10::optional<Tensor>> &", 
+expected_types <- list(out = "Tensor", self = "Tensor", indices = "const c10::List<::std::optional<Tensor>> &", 
     values = "Tensor", accumulate = "bool")
 nd_args <- c("out", "self", "indices", "values")
 return_types <- list(list('Tensor'))
@@ -23532,7 +25130,8 @@ fun_type = 'namespace'
 #' @rdname .torch_linspace
 .torch_linspace <- function(start, end, steps, options = list()) {
   args <- mget(x = c("start", "end", "steps", "options"))
-expected_types <- list(start = "Scalar", end = "Scalar", steps = "int64_t", options = "TensorOptions")
+expected_types <- list(start = c("Scalar", "Tensor"), end = c("Scalar", "Tensor"
+), steps = "int64_t", options = "TensorOptions")
 nd_args <- c("start", "end", "steps")
 return_types <- list(list('Tensor'))
 call_c_function(
@@ -23549,7 +25148,8 @@ fun_type = 'namespace'
 #' @rdname torch_linspace_out
 torch_linspace_out <- function(out, start, end, steps) {
   args <- mget(x = c("out", "start", "end", "steps"))
-expected_types <- list(out = "Tensor", start = "Scalar", end = "Scalar", steps = "int64_t")
+expected_types <- list(out = "Tensor", start = c("Scalar", "Tensor"), end = c("Scalar", 
+"Tensor"), steps = "int64_t")
 nd_args <- c("out", "start", "end", "steps")
 return_types <- list(list('Tensor'))
 call_c_function(
@@ -24284,8 +25884,8 @@ fun_type = 'namespace'
 #' @rdname .torch_logspace
 .torch_logspace <- function(start, end, steps, base = 10, options = list()) {
   args <- mget(x = c("start", "end", "steps", "base", "options"))
-expected_types <- list(start = "Scalar", end = "Scalar", steps = "int64_t", base = "double", 
-    options = "TensorOptions")
+expected_types <- list(start = c("Scalar", "Tensor"), end = c("Scalar", "Tensor"
+), steps = "int64_t", base = "double", options = "TensorOptions")
 nd_args <- c("start", "end", "steps")
 return_types <- list(list('Tensor'))
 call_c_function(
@@ -24302,8 +25902,8 @@ fun_type = 'namespace'
 #' @rdname torch_logspace_out
 torch_logspace_out <- function(out, start, end, steps, base = 10) {
   args <- mget(x = c("out", "start", "end", "steps", "base"))
-expected_types <- list(out = "Tensor", start = "Scalar", end = "Scalar", steps = "int64_t", 
-    base = "double")
+expected_types <- list(out = "Tensor", start = c("Scalar", "Tensor"), end = c("Scalar", 
+"Tensor"), steps = "int64_t", base = "double")
 nd_args <- c("out", "start", "end", "steps")
 return_types <- list(list('Tensor'))
 call_c_function(
@@ -24617,6 +26217,23 @@ fun_type = 'namespace'
 }
 
 
+#' @rdname torch_masked_scatter_backward
+torch_masked_scatter_backward <- function(grad_output, mask, sizes) {
+  args <- mget(x = c("grad_output", "mask", "sizes"))
+expected_types <- list(grad_output = "Tensor", mask = "Tensor", sizes = "IntArrayRef")
+nd_args <- c("grad_output", "mask", "sizes")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = 'masked_scatter_backward',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
 #' @rdname torch_masked_scatter_out
 torch_masked_scatter_out <- function(out, self, mask, source) {
   args <- mget(x = c("out", "self", "mask", "source"))
@@ -26237,10 +27854,10 @@ fun_type = 'namespace'
 
 
 #' @rdname torch_mkldnn_reorder_conv3d_weight
-torch_mkldnn_reorder_conv3d_weight <- function(self, padding = 0L, stride = 1L, dilation = 1L, groups = 1L) {
-  args <- mget(x = c("self", "padding", "stride", "dilation", "groups"))
+torch_mkldnn_reorder_conv3d_weight <- function(self, padding = 0L, stride = 1L, dilation = 1L, groups = 1L, input_size = NULL) {
+  args <- mget(x = c("self", "padding", "stride", "dilation", "groups", "input_size"))
 expected_types <- list(self = "Tensor", padding = "IntArrayRef", stride = "IntArrayRef", 
-    dilation = "IntArrayRef", groups = "int64_t")
+    dilation = "IntArrayRef", groups = "int64_t", input_size = "IntArrayRef")
 nd_args <- "self"
 return_types <- list(list('Tensor'))
 call_c_function(
@@ -26255,10 +27872,11 @@ fun_type = 'namespace'
 
 
 #' @rdname torch_mkldnn_reorder_conv3d_weight_out
-torch_mkldnn_reorder_conv3d_weight_out <- function(out, self, padding = 0L, stride = 1L, dilation = 1L, groups = 1L) {
-  args <- mget(x = c("out", "self", "padding", "stride", "dilation", "groups"))
+torch_mkldnn_reorder_conv3d_weight_out <- function(out, self, padding = 0L, stride = 1L, dilation = 1L, groups = 1L, input_size = NULL) {
+  args <- mget(x = c("out", "self", "padding", "stride", "dilation", "groups", "input_size"))
 expected_types <- list(out = "Tensor", self = "Tensor", padding = "IntArrayRef", 
-    stride = "IntArrayRef", dilation = "IntArrayRef", groups = "int64_t")
+    stride = "IntArrayRef", dilation = "IntArrayRef", groups = "int64_t", 
+    input_size = "IntArrayRef")
 nd_args <- c("out", "self")
 return_types <- list(list('Tensor'))
 call_c_function(
@@ -28205,6 +29823,40 @@ fun_type = 'namespace'
 }
 
 
+#' @rdname torch_nonzero_static
+torch_nonzero_static <- function(self, size, fill_value = -1L) {
+  args <- mget(x = c("self", "size", "fill_value"))
+expected_types <- list(self = "Tensor", size = "int64_t", fill_value = "int64_t")
+nd_args <- c("self", "size")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = 'nonzero_static',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch_nonzero_static_out
+torch_nonzero_static_out <- function(out, self, size, fill_value = -1L) {
+  args <- mget(x = c("out", "self", "size", "fill_value"))
+expected_types <- list(out = "Tensor", self = "Tensor", size = "int64_t", fill_value = "int64_t")
+nd_args <- c("out", "self", "size")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = 'nonzero_static_out',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
 #' @rdname .torch_norm
 .torch_norm <- function(self, p = 2L, dim, keepdim = FALSE, dtype) {
   args <- mget(x = c("self", "p", "dim", "keepdim", "dtype"))
@@ -28588,9 +30240,10 @@ fun_type = 'namespace'
 
 
 #' @rdname torch_pad_sequence
-torch_pad_sequence <- function(sequences, batch_first = FALSE, padding_value = 0L) {
-  args <- mget(x = c("sequences", "batch_first", "padding_value"))
-expected_types <- list(sequences = "TensorList", batch_first = "bool", padding_value = "double")
+torch_pad_sequence <- function(sequences, batch_first = FALSE, padding_value = 0L, padding_side = "right") {
+  args <- mget(x = c("sequences", "batch_first", "padding_value", "padding_side"))
+expected_types <- list(sequences = "TensorList", batch_first = "bool", padding_value = "double", 
+    padding_side = "c10::string_view")
 nd_args <- "sequences"
 return_types <- list(list('Tensor'))
 call_c_function(
@@ -29493,6 +31146,43 @@ fun_type = 'namespace'
 }
 
 
+#' @rdname torch_quantized_max_pool3d
+torch_quantized_max_pool3d <- function(self, kernel_size, stride = list(), padding = 0L, dilation = 1L, ceil_mode = FALSE) {
+  args <- mget(x = c("self", "kernel_size", "stride", "padding", "dilation", "ceil_mode"))
+expected_types <- list(self = "Tensor", kernel_size = "IntArrayRef", stride = "IntArrayRef", 
+    padding = "IntArrayRef", dilation = "IntArrayRef", ceil_mode = "bool")
+nd_args <- c("self", "kernel_size")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = 'quantized_max_pool3d',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch_quantized_max_pool3d_out
+torch_quantized_max_pool3d_out <- function(out, self, kernel_size, stride = list(), padding = 0L, dilation = 1L, ceil_mode = FALSE) {
+  args <- mget(x = c("out", "self", "kernel_size", "stride", "padding", "dilation", "ceil_mode"))
+expected_types <- list(out = "Tensor", self = "Tensor", kernel_size = "IntArrayRef", 
+    stride = "IntArrayRef", padding = "IntArrayRef", dilation = "IntArrayRef", 
+    ceil_mode = "bool")
+nd_args <- c("out", "self", "kernel_size")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = 'quantized_max_pool3d_out',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
 #' @rdname torch_quantized_rnn_relu_cell
 torch_quantized_rnn_relu_cell <- function(input, hx, w_ih, w_hh, b_ih, b_hh, packed_ih, packed_hh, col_offsets_ih, col_offsets_hh, scale_ih, scale_hh, zero_point_ih, zero_point_hh) {
   args <- mget(x = c("input", "hx", "w_ih", "w_hh", "b_ih", "b_hh", "packed_ih", "packed_hh", "col_offsets_ih", "col_offsets_hh", "scale_ih", "scale_hh", "zero_point_ih", "zero_point_hh"))
@@ -30816,6 +32506,24 @@ fun_type = 'namespace'
 }
 
 
+#' @rdname torch_rms_norm
+torch_rms_norm <- function(input, normalized_shape, weight = list(), eps = NULL) {
+  args <- mget(x = c("input", "normalized_shape", "weight", "eps"))
+expected_types <- list(input = "Tensor", normalized_shape = "IntArrayRef", weight = "Tensor", 
+    eps = "double")
+nd_args <- c("input", "normalized_shape")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = 'rms_norm',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
 #' @rdname torch_rnn_relu
 torch_rnn_relu <- function(data, input, batch_sizes, hx, params, has_biases, num_layers, dropout, train, batch_first, bidirectional) {
   args <- mget(x = c("data", "input", "batch_sizes", "hx", "params", "has_biases", "num_layers", "dropout", "train", "batch_first", "bidirectional"))
@@ -31334,10 +33042,11 @@ fun_type = 'namespace'
 
 
 #' @rdname torch_scaled_dot_product_attention
-torch_scaled_dot_product_attention <- function(query, key, value, attn_mask = list(), dropout_p = 0L, is_causal = FALSE) {
-  args <- mget(x = c("query", "key", "value", "attn_mask", "dropout_p", "is_causal"))
+torch_scaled_dot_product_attention <- function(query, key, value, attn_mask = list(), dropout_p = 0L, is_causal = FALSE, scale = NULL, enable_gqa = FALSE) {
+  args <- mget(x = c("query", "key", "value", "attn_mask", "dropout_p", "is_causal", "scale", "enable_gqa"))
 expected_types <- list(query = "Tensor", key = "Tensor", value = "Tensor", attn_mask = "Tensor", 
-    dropout_p = "double", is_causal = "bool")
+    dropout_p = "double", is_causal = "bool", scale = "double", 
+    enable_gqa = "bool")
 nd_args <- c("query", "key", "value")
 return_types <- list(list('Tensor'))
 call_c_function(
@@ -32261,6 +33970,24 @@ fun_type = 'namespace'
 }
 
 
+#' @rdname torch_slice_inverse
+torch_slice_inverse <- function(self, src, dim = 1L, start = NULL, end = NULL, step = 1L) {
+  args <- mget(x = c("self", "src", "dim", "start", "end", "step"))
+expected_types <- list(self = "Tensor", src = "Tensor", dim = "int64_t", start = "int64_t", 
+    end = "int64_t", step = "int64_t")
+nd_args <- c("self", "src")
+return_types <- list(list('Tensor'))
+call_c_function(
+fun_name = 'slice_inverse',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
 #' @rdname torch_slice_scatter
 torch_slice_scatter <- function(self, src, dim = 1L, start = NULL, end = NULL, step = 1L) {
   args <- mget(x = c("self", "src", "dim", "start", "end", "step"))
@@ -32982,10 +34709,10 @@ fun_type = 'namespace'
 
 
 #' @rdname .torch_sparse_coo_tensor
-.torch_sparse_coo_tensor <- function(indices, values, size, options = list()) {
-  args <- mget(x = c("indices", "values", "size", "options"))
+.torch_sparse_coo_tensor <- function(indices, values, size, options = list(), is_coalesced = NULL) {
+  args <- mget(x = c("indices", "values", "size", "options", "is_coalesced"))
 expected_types <- list(indices = "Tensor", values = "Tensor", size = "IntArrayRef", 
-    options = "TensorOptions")
+    options = "TensorOptions", is_coalesced = "bool")
 nd_args <- c("indices", "values", "size", "options")
 return_types <- list(list('Tensor'))
 call_c_function(
@@ -35643,6 +37370,40 @@ fun_type = 'namespace'
 }
 
 
+#' @rdname torch_sym_constrain_range
+torch_sym_constrain_range <- function(size, min = NULL, max = NULL) {
+  args <- mget(x = c("size", "min", "max"))
+expected_types <- list(size = "Scalar", min = "int64_t", max = "int64_t")
+nd_args <- "size"
+return_types <- list(list("void"))
+call_c_function(
+fun_name = 'sym_constrain_range',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
+#' @rdname torch_sym_constrain_range_for_size
+torch_sym_constrain_range_for_size <- function(size, min = NULL, max = NULL) {
+  args <- mget(x = c("size", "min", "max"))
+expected_types <- list(size = "Scalar", min = "int64_t", max = "int64_t")
+nd_args <- "size"
+return_types <- list(list("void"))
+call_c_function(
+fun_name = 'sym_constrain_range_for_size',
+args = args,
+expected_types = expected_types,
+nd_args = nd_args,
+return_types = return_types,
+fun_type = 'namespace'
+)
+}
+
+
 #' @rdname torch_t
 torch_t <- function(self) {
   args <- mget(x = c("self"))
@@ -36093,9 +37854,9 @@ fun_type = 'namespace'
 
 
 #' @rdname torch_to_dense_backward
-torch_to_dense_backward <- function(grad, input) {
-  args <- mget(x = c("grad", "input"))
-expected_types <- list(grad = "Tensor", input = "Tensor")
+torch_to_dense_backward <- function(grad, input, masked_grad = NULL) {
+  args <- mget(x = c("grad", "input", "masked_grad"))
+expected_types <- list(grad = "Tensor", input = "Tensor", masked_grad = "bool")
 nd_args <- c("grad", "input")
 return_types <- list(list('Tensor'))
 call_c_function(
@@ -36160,94 +37921,6 @@ fun_type = 'namespace'
 }
 
 
-#' @rdname torch_to_sparse_bsc_out
-torch_to_sparse_bsc_out <- function(out, self, blocksize, dense_dim = NULL) {
-  args <- mget(x = c("out", "self", "blocksize", "dense_dim"))
-expected_types <- list(out = "Tensor", self = "Tensor", blocksize = "IntArrayRef", 
-    dense_dim = "int64_t")
-nd_args <- c("out", "self", "blocksize")
-return_types <- list(list('Tensor'))
-call_c_function(
-fun_name = 'to_sparse_bsc_out',
-args = args,
-expected_types = expected_types,
-nd_args = nd_args,
-return_types = return_types,
-fun_type = 'namespace'
-)
-}
-
-
-#' @rdname torch_to_sparse_bsr_out
-torch_to_sparse_bsr_out <- function(out, self, blocksize, dense_dim = NULL) {
-  args <- mget(x = c("out", "self", "blocksize", "dense_dim"))
-expected_types <- list(out = "Tensor", self = "Tensor", blocksize = "IntArrayRef", 
-    dense_dim = "int64_t")
-nd_args <- c("out", "self", "blocksize")
-return_types <- list(list('Tensor'))
-call_c_function(
-fun_name = 'to_sparse_bsr_out',
-args = args,
-expected_types = expected_types,
-nd_args = nd_args,
-return_types = return_types,
-fun_type = 'namespace'
-)
-}
-
-
-#' @rdname torch_to_sparse_csc_out
-torch_to_sparse_csc_out <- function(out, self, dense_dim = NULL) {
-  args <- mget(x = c("out", "self", "dense_dim"))
-expected_types <- list(out = "Tensor", self = "Tensor", dense_dim = "int64_t")
-nd_args <- c("out", "self")
-return_types <- list(list('Tensor'))
-call_c_function(
-fun_name = 'to_sparse_csc_out',
-args = args,
-expected_types = expected_types,
-nd_args = nd_args,
-return_types = return_types,
-fun_type = 'namespace'
-)
-}
-
-
-#' @rdname torch_to_sparse_csr_out
-torch_to_sparse_csr_out <- function(out, self, dense_dim = NULL) {
-  args <- mget(x = c("out", "self", "dense_dim"))
-expected_types <- list(out = "Tensor", self = "Tensor", dense_dim = "int64_t")
-nd_args <- c("out", "self")
-return_types <- list(list('Tensor'))
-call_c_function(
-fun_name = 'to_sparse_csr_out',
-args = args,
-expected_types = expected_types,
-nd_args = nd_args,
-return_types = return_types,
-fun_type = 'namespace'
-)
-}
-
-
-#' @rdname torch_to_sparse_out
-torch_to_sparse_out <- function(out, self, layout = NULL, sparse_dim, blocksize = NULL, dense_dim = NULL) {
-  args <- mget(x = c("out", "self", "layout", "sparse_dim", "blocksize", "dense_dim"))
-expected_types <- list(out = "Tensor", self = "Tensor", layout = "Layout", sparse_dim = "int64_t", 
-    blocksize = "IntArrayRef", dense_dim = "int64_t")
-nd_args <- c("out", "self", "sparse_dim")
-return_types <- list(list('Tensor'))
-call_c_function(
-fun_name = 'to_sparse_out',
-args = args,
-expected_types = expected_types,
-nd_args = nd_args,
-return_types = return_types,
-fun_type = 'namespace'
-)
-}
-
-
 #' @rdname .torch_topk
 .torch_topk <- function(self, k, dim = -1L, largest = TRUE, sorted = TRUE) {
   args <- mget(x = c("self", "k", "dim", "largest", "sorted"))
diff --git a/R/install.R b/R/install.R
index dd65f5cb99..f8f16ac3a7 100644
--- a/R/install.R
+++ b/R/install.R
@@ -1,5 +1,5 @@
 branch <- "main"
-torch_version <- "2.0.1"
+torch_version <- "2.5.1"
 
 #' Install Torch
 #'
@@ -176,11 +176,7 @@ libtorch_url <- function() {
   
   if (is_macos()) {
     arch <- architecture()
-    if (arch == "x86_64") {
-      url <- glue::glue("https://download.pytorch.org/libtorch/cpu/libtorch-macos-{torch_version}.zip") 
-    } else if (arch == "arm64") {
-      url <- glue::glue("https://github.com/mlverse/libtorch-mac-m1/releases/download/LibTorch-for-R/libtorch-v{torch_version}.zip") 
-    }
+    url <- glue::glue("https://github.com/mlverse/libtorch-mac-m1/releases/download/LibTorch-for-R/libtorch-{arch}-v{torch_version}.zip") 
   }
   kind <- installation_kind()
   if (is_windows()) {
@@ -457,12 +453,12 @@ cuda_version_windows <- function() {
 }
 
 check_supported_cuda_version_windows <- function(version) {
-  supported_versions <- c("11.7", "11.8")
+  supported_versions <- c("11.8", "12.4")
   check_supported_version(version, supported_versions)
 }
 
 check_supported_cuda_version_linux <- function(version) {
-  supported_versions <- c("11.7", "11.8")
+  supported_versions <- c("11.8", "12.4")
   check_supported_version(version, supported_versions)
 }
 
diff --git a/R/nnf-activation.R b/R/nnf-activation.R
index e5aa7603e9..0a65f897bd 100644
--- a/R/nnf-activation.R
+++ b/R/nnf-activation.R
@@ -728,10 +728,14 @@ nnf_multi_head_attention_forward <- function(query, # type: Tensor
 
   if (!is.null(key_padding_mask)) {
     attn_output_weights <- attn_output_weights$view(c(bsz, num_heads, tgt_len, src_len))
-    attn_output_weights <- attn_output_weights$masked_fill(
-      key_padding_mask$unsqueeze(2)$unsqueeze(3),
-      -Inf
-    )
+    if (key_padding_mask$dtype == torch_bool()) {
+      attn_output_weights <- attn_output_weights$masked_fill(
+        key_padding_mask$unsqueeze(2)$unsqueeze(3),
+        -Inf
+      )
+    } else {
+      attn_output_weights <- attn_output_weights + key_padding_mask$unsqueeze(2)$unsqueeze(3)
+    }
     attn_output_weights <- attn_output_weights$view(c(
       bsz * num_heads,
       tgt_len,
diff --git a/R/positron.R b/R/positron.R
index 66f6d5631f..d599ab3f60 100644
--- a/R/positron.R
+++ b/R/positron.R
@@ -29,7 +29,7 @@ register_positron_methods_impl <- function() {
   register_ark_method("ark_positron_variable_display_value", "nn_module", function(x, ...) {
     paste0(
       "nn_module (",
-      scales::comma(torch:::get_parameter_count(attr(x, "module"))),
+      scales::comma(get_parameter_count(attr(x, "module"))),
       " parameters)"
     )
   })
diff --git a/R/tensor.R b/R/tensor.R
index 99de733325..d5213dc92f 100644
--- a/R/tensor.R
+++ b/R/tensor.R
@@ -89,6 +89,10 @@ Tensor <- R7Class(
         dtype <- self$dtype
       }
 
+      if (is.null(memory_format)) {
+        memory_format <- torch_preserve_format()
+      }
+
       if (has_device) {
         private$`_to`(
           dtype = dtype,
diff --git a/configure.win b/configure.win
index eea4fae9bd..5dee7817d8 100755
--- a/configure.win
+++ b/configure.win
@@ -1,2 +1,2 @@
 #!/usr/bin/env sh
-CMAKE_FLAGS="-G\"Visual Studio 16\" $CMAKE_FLAGS" sh ./configure
+CMAKE_FLAGS="-G\"Visual Studio 17\" $CMAKE_FLAGS" sh ./configure
diff --git a/inst/include/lantern/lantern.h b/inst/include/lantern/lantern.h
index 863bfcafb1..62bc14bd21 100644
--- a/inst/include/lantern/lantern.h
+++ b/inst/include/lantern/lantern.h
@@ -6,6 +6,8 @@
 #else
 #define WIN32_LEAN_AND_MEAN 1
 #include <windows.h>
+#undef max
+#undef min
 #endif
 
 #ifndef HOST_API
@@ -48,13 +50,13 @@ void check_lantern_loaded();
 
 extern int lanternLogEnabled;
 #define LLOG(...) if ((lanternLogEnabled & 1) == 1) {              \
-  printf("%ld INFO ", time(NULL));                                 \
+  printf("%lld INFO ", (long long)time(NULL));                                 \
   printf(__VA_ARGS__);                                        \
   printf("\n");                                                    \
 }                                                                  \
 if ((lanternLogEnabled & 2) == 2) {                                \
   FILE *pFile = fopen("lantern.log", "a");                         \
-  fprintf(pFile, "%ld INFO ", time(NULL));                         \
+  fprintf(pFile, "%lld INFO ", (long long)time(NULL));                         \
   fprintf(pFile, __VA_ARGS__);                               \
   fprintf(pFile, "\n");                                            \
   fclose(pFile);                                                   \
@@ -2343,7 +2345,7 @@ LANTERN_API void* (LANTERN_PTR _lantern_torch_show_config) ();
 HOST_API void* lantern_torch_show_config () 
 {
   LANTERN_CHECK_LOADED
-  auto ret = _lantern_torch_show_config();
+  void* ret = _lantern_torch_show_config();
   LANTERN_HOST_HANDLER;
   return ret;
 }
@@ -2352,7 +2354,7 @@ LANTERN_API void* (LANTERN_PTR _lantern_torch_parallel_info) ();
 HOST_API void* lantern_torch_parallel_info () 
 {
   LANTERN_CHECK_LOADED
-  auto ret = _lantern_torch_parallel_info();
+  void* ret = _lantern_torch_parallel_info();
   LANTERN_HOST_HANDLER;
   return ret;
 }
@@ -2658,8 +2660,28 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_align_tensors_tensorlist(void* tensors) { LANTERN_CHECK_LOADED void* ret = _lantern_align_tensors_tensorlist(tensors); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__assert_async_tensor)(void* self);
   HOST_API void* lantern__assert_async_tensor(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__assert_async_tensor(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__assert_async_tensor_cstringview)(void* self, void* assert_msg);
+  HOST_API void* lantern__assert_async_tensor_cstringview(void* self, void* assert_msg) { LANTERN_CHECK_LOADED void* ret = _lantern__assert_async_tensor_cstringview(self, assert_msg); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__assert_scalar_scalar_cstringview)(void* self, void* assert_msg);
+  HOST_API void* lantern__assert_scalar_scalar_cstringview(void* self, void* assert_msg) { LANTERN_CHECK_LOADED void* ret = _lantern__assert_scalar_scalar_cstringview(self, assert_msg); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__functional_assert_scalar_scalar_cstringview_tensor)(void* self, void* assert_msg, void* dep_token);
+  HOST_API void* lantern__functional_assert_scalar_scalar_cstringview_tensor(void* self, void* assert_msg, void* dep_token) { LANTERN_CHECK_LOADED void* ret = _lantern__functional_assert_scalar_scalar_cstringview_tensor(self, assert_msg, dep_token); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__functional_assert_async_tensor_cstringview_tensor)(void* self, void* assert_msg, void* dep_token);
+  HOST_API void* lantern__functional_assert_async_tensor_cstringview_tensor(void* self, void* assert_msg, void* dep_token) { LANTERN_CHECK_LOADED void* ret = _lantern__functional_assert_async_tensor_cstringview_tensor(self, assert_msg, dep_token); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__assert_tensor_metadata_tensor_intarrayref_intarrayref_scalartype)(void* a, void* size, void* stride, void* dtype);
   HOST_API void* lantern__assert_tensor_metadata_tensor_intarrayref_intarrayref_scalartype(void* a, void* size, void* stride, void* dtype) { LANTERN_CHECK_LOADED void* ret = _lantern__assert_tensor_metadata_tensor_intarrayref_intarrayref_scalartype(a, size, stride, dtype); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__print_cstringview)(void* s);
+  HOST_API void* lantern__print_cstringview(void* s) { LANTERN_CHECK_LOADED void* ret = _lantern__print_cstringview(s); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_sym_constrain_range_scalar_intt_intt)(void* size, void* min, void* max);
+  HOST_API void* lantern_sym_constrain_range_scalar_intt_intt(void* size, void* min, void* max) { LANTERN_CHECK_LOADED void* ret = _lantern_sym_constrain_range_scalar_intt_intt(size, min, max); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_sym_constrain_range_for_size_scalar_intt_intt)(void* size, void* min, void* max);
+  HOST_API void* lantern_sym_constrain_range_for_size_scalar_intt_intt(void* size, void* min, void* max) { LANTERN_CHECK_LOADED void* ret = _lantern_sym_constrain_range_for_size_scalar_intt_intt(size, min, max); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__functional_sym_constrain_range_scalar_intt_intt_tensor)(void* size, void* min, void* max, void* dep_token);
+  HOST_API void* lantern__functional_sym_constrain_range_scalar_intt_intt_tensor(void* size, void* min, void* max, void* dep_token) { LANTERN_CHECK_LOADED void* ret = _lantern__functional_sym_constrain_range_scalar_intt_intt_tensor(size, min, max, dep_token); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__functional_sym_constrain_range_for_size_scalar_intt_intt_tensor)(void* size, void* min, void* max, void* dep_token);
+  HOST_API void* lantern__functional_sym_constrain_range_for_size_scalar_intt_intt_tensor(void* size, void* min, void* max, void* dep_token) { LANTERN_CHECK_LOADED void* ret = _lantern__functional_sym_constrain_range_for_size_scalar_intt_intt_tensor(size, min, max, dep_token); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__make_dep_token_tensoroptions_memoryformat)(void* options, void* memory_format);
+  HOST_API void* lantern__make_dep_token_tensoroptions_memoryformat(void* options, void* memory_format) { LANTERN_CHECK_LOADED void* ret = _lantern__make_dep_token_tensoroptions_memoryformat(options, memory_format); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_refine_names_tensor_dimnamelist)(void* self, void* names);
   HOST_API void* lantern_Tensor_refine_names_tensor_dimnamelist(void* self, void* names) { void* ret = _lantern_Tensor_refine_names_tensor_dimnamelist(self, names); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__use_cudnn_ctc_loss_tensor_tensor_intarrayref_intarrayref_intt)(void* log_probs, void* targets, void* input_lengths, void* target_lengths, void* blank);
@@ -2876,12 +2898,20 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_Tensor__is_any_true_tensor(void* self) { void* ret = _lantern_Tensor__is_any_true_tensor(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__test_check_tensor_tensor)(void* self);
   HOST_API void* lantern__test_check_tensor_tensor(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__test_check_tensor_tensor(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__test_functorch_fallback_tensor_tensor)(void* self, void* other);
+  HOST_API void* lantern__test_functorch_fallback_tensor_tensor(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__test_functorch_fallback_tensor_tensor(self, other); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_all_tensor_intt_bool)(void* self, void* dim, void* keepdim);
   HOST_API void* lantern_all_tensor_intt_bool(void* self, void* dim, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_all_tensor_intt_bool(self, dim, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_all_tensor_intt_bool)(void* self, void* dim, void* keepdim);
   HOST_API void* lantern_Tensor_all_tensor_intt_bool(void* self, void* dim, void* keepdim) { void* ret = _lantern_Tensor_all_tensor_intt_bool(self, dim, keepdim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_all_tensor_intarrayref_bool)(void* self, void* dim, void* keepdim);
+  HOST_API void* lantern_all_tensor_intarrayref_bool(void* self, void* dim, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_all_tensor_intarrayref_bool(self, dim, keepdim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_Tensor_all_tensor_intarrayref_bool)(void* self, void* dim, void* keepdim);
+  HOST_API void* lantern_Tensor_all_tensor_intarrayref_bool(void* self, void* dim, void* keepdim) { void* ret = _lantern_Tensor_all_tensor_intarrayref_bool(self, dim, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_all_out_tensor_tensor_intt_bool)(void* out, void* self, void* dim, void* keepdim);
   HOST_API void* lantern_all_out_tensor_tensor_intt_bool(void* out, void* self, void* dim, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_all_out_tensor_tensor_intt_bool(out, self, dim, keepdim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_all_out_tensor_tensor_intarrayref_bool)(void* out, void* self, void* dim, void* keepdim);
+  HOST_API void* lantern_all_out_tensor_tensor_intarrayref_bool(void* out, void* self, void* dim, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_all_out_tensor_tensor_intarrayref_bool(out, self, dim, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_all_tensor_dimname_bool)(void* self, void* dim, void* keepdim);
   HOST_API void* lantern_all_tensor_dimname_bool(void* self, void* dim, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_all_tensor_dimname_bool(self, dim, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_all_tensor_dimname_bool)(void* self, void* dim, void* keepdim);
@@ -2896,8 +2926,14 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_any_tensor_intt_bool(void* self, void* dim, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_any_tensor_intt_bool(self, dim, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_any_tensor_intt_bool)(void* self, void* dim, void* keepdim);
   HOST_API void* lantern_Tensor_any_tensor_intt_bool(void* self, void* dim, void* keepdim) { void* ret = _lantern_Tensor_any_tensor_intt_bool(self, dim, keepdim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_any_tensor_intarrayref_bool)(void* self, void* dim, void* keepdim);
+  HOST_API void* lantern_any_tensor_intarrayref_bool(void* self, void* dim, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_any_tensor_intarrayref_bool(self, dim, keepdim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_Tensor_any_tensor_intarrayref_bool)(void* self, void* dim, void* keepdim);
+  HOST_API void* lantern_Tensor_any_tensor_intarrayref_bool(void* self, void* dim, void* keepdim) { void* ret = _lantern_Tensor_any_tensor_intarrayref_bool(self, dim, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_any_out_tensor_tensor_intt_bool)(void* out, void* self, void* dim, void* keepdim);
   HOST_API void* lantern_any_out_tensor_tensor_intt_bool(void* out, void* self, void* dim, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_any_out_tensor_tensor_intt_bool(out, self, dim, keepdim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_any_out_tensor_tensor_intarrayref_bool)(void* out, void* self, void* dim, void* keepdim);
+  HOST_API void* lantern_any_out_tensor_tensor_intarrayref_bool(void* out, void* self, void* dim, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_any_out_tensor_tensor_intarrayref_bool(out, self, dim, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_any_tensor_dimname_bool)(void* self, void* dim, void* keepdim);
   HOST_API void* lantern_any_tensor_dimname_bool(void* self, void* dim, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_any_tensor_dimname_bool(self, dim, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_any_tensor_dimname_bool)(void* self, void* dim, void* keepdim);
@@ -3122,6 +3158,10 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_Tensor_copysign__tensor_scalar(void* self, void* other) { void* ret = _lantern_Tensor_copysign__tensor_scalar(self, other); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_copysign_out_tensor_tensor_scalar)(void* out, void* self, void* other);
   HOST_API void* lantern_copysign_out_tensor_tensor_scalar(void* out, void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern_copysign_out_tensor_tensor_scalar(out, self, other); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__lazy_clone_tensor)(void* self);
+  HOST_API void* lantern__lazy_clone_tensor(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__lazy_clone_tensor(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_Tensor__lazy_clone_tensor)(void* self);
+  HOST_API void* lantern_Tensor__lazy_clone_tensor(void* self) { void* ret = _lantern_Tensor__lazy_clone_tensor(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_logical_not_tensor)(void* self);
   HOST_API void* lantern_logical_not_tensor(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern_logical_not_tensor(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_logical_not_tensor)(void* self);
@@ -3420,6 +3460,8 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_cudnn_batch_norm_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_tensor(void* input, void* grad_output, void* weight, void* running_mean, void* running_var, void* save_mean, void* save_var, void* epsilon, void* reserveSpace) { LANTERN_CHECK_LOADED void* ret = _lantern_cudnn_batch_norm_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_tensor(input, grad_output, weight, running_mean, running_var, save_mean, save_var, epsilon, reserveSpace); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_cudnn_convolution_tensor_tensor_intarrayref_intarrayref_intarrayref_intt_bool_bool_bool)(void* self, void* weight, void* padding, void* stride, void* dilation, void* groups, void* benchmark, void* deterministic, void* allow_tf32);
   HOST_API void* lantern_cudnn_convolution_tensor_tensor_intarrayref_intarrayref_intarrayref_intt_bool_bool_bool(void* self, void* weight, void* padding, void* stride, void* dilation, void* groups, void* benchmark, void* deterministic, void* allow_tf32) { LANTERN_CHECK_LOADED void* ret = _lantern_cudnn_convolution_tensor_tensor_intarrayref_intarrayref_intarrayref_intt_bool_bool_bool(self, weight, padding, stride, dilation, groups, benchmark, deterministic, allow_tf32); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_cudnn_convolution_out_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intt_bool_bool_bool)(void* out, void* self, void* weight, void* padding, void* stride, void* dilation, void* groups, void* benchmark, void* deterministic, void* allow_tf32);
+  HOST_API void* lantern_cudnn_convolution_out_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intt_bool_bool_bool(void* out, void* self, void* weight, void* padding, void* stride, void* dilation, void* groups, void* benchmark, void* deterministic, void* allow_tf32) { LANTERN_CHECK_LOADED void* ret = _lantern_cudnn_convolution_out_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intt_bool_bool_bool(out, self, weight, padding, stride, dilation, groups, benchmark, deterministic, allow_tf32); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_cudnn_convolution_transpose_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt_bool_bool_bool)(void* self, void* weight, void* padding, void* output_padding, void* stride, void* dilation, void* groups, void* benchmark, void* deterministic, void* allow_tf32);
   HOST_API void* lantern_cudnn_convolution_transpose_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt_bool_bool_bool(void* self, void* weight, void* padding, void* output_padding, void* stride, void* dilation, void* groups, void* benchmark, void* deterministic, void* allow_tf32) { LANTERN_CHECK_LOADED void* ret = _lantern_cudnn_convolution_transpose_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt_bool_bool_bool(self, weight, padding, output_padding, stride, dilation, groups, benchmark, deterministic, allow_tf32); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__mps_convolution_transpose_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt)(void* self, void* weight, void* padding, void* output_padding, void* stride, void* dilation, void* groups);
@@ -3676,6 +3718,8 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_empty_intarrayref_dimnamelist_tensoroptions_memoryformat(void* size, void* names, void* options, void* memory_format) { LANTERN_CHECK_LOADED void* ret = _lantern_empty_intarrayref_dimnamelist_tensoroptions_memoryformat(size, names, options, memory_format); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_empty_intarrayref_tensoroptions_memoryformat)(void* size, void* options, void* memory_format);
   HOST_API void* lantern_empty_intarrayref_tensoroptions_memoryformat(void* size, void* options, void* memory_format) { LANTERN_CHECK_LOADED void* ret = _lantern_empty_intarrayref_tensoroptions_memoryformat(size, options, memory_format); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_empty_permuted_intarrayref_intarrayref_tensoroptions)(void* size, void* physical_layout, void* options);
+  HOST_API void* lantern_empty_permuted_intarrayref_intarrayref_tensoroptions(void* size, void* physical_layout, void* options) { LANTERN_CHECK_LOADED void* ret = _lantern_empty_permuted_intarrayref_intarrayref_tensoroptions(size, physical_layout, options); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_new_empty_tensor_intarrayref_tensoroptions)(void* self, void* size, void* options);
   HOST_API void* lantern_Tensor_new_empty_tensor_intarrayref_tensoroptions(void* self, void* size, void* options) { void* ret = _lantern_Tensor_new_empty_tensor_intarrayref_tensoroptions(self, size, options); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_new_empty_strided_tensor_intarrayref_intarrayref_tensoroptions)(void* self, void* size, void* stride, void* options);
@@ -3918,20 +3962,26 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern__fft_c2c_out_tensor_tensor_intarrayref_intt_bool(void* out, void* self, void* dim, void* normalization, void* forward) { LANTERN_CHECK_LOADED void* ret = _lantern__fft_c2c_out_tensor_tensor_intarrayref_intt_bool(out, self, dim, normalization, forward); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__validate_compressed_sparse_indices_bool_tensor_tensor_intt_intt_intt)(void* is_crow, void* compressed_idx, void* plain_idx, void* cdim, void* dim, void* nnz);
   HOST_API void* lantern__validate_compressed_sparse_indices_bool_tensor_tensor_intt_intt_intt(void* is_crow, void* compressed_idx, void* plain_idx, void* cdim, void* dim, void* nnz) { LANTERN_CHECK_LOADED void* ret = _lantern__validate_compressed_sparse_indices_bool_tensor_tensor_intt_intt_intt(is_crow, compressed_idx, plain_idx, cdim, dim, nnz); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__cufft_get_plan_cache_size_intt)(void* device_index);
-  HOST_API void* lantern__cufft_get_plan_cache_size_intt(void* device_index) { LANTERN_CHECK_LOADED void* ret = _lantern__cufft_get_plan_cache_size_intt(device_index); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__cufft_get_plan_cache_max_size_intt)(void* device_index);
-  HOST_API void* lantern__cufft_get_plan_cache_max_size_intt(void* device_index) { LANTERN_CHECK_LOADED void* ret = _lantern__cufft_get_plan_cache_max_size_intt(device_index); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__cufft_set_plan_cache_max_size_intt_intt)(void* device_index, void* max_size);
-  HOST_API void* lantern__cufft_set_plan_cache_max_size_intt_intt(void* device_index, void* max_size) { LANTERN_CHECK_LOADED void* ret = _lantern__cufft_set_plan_cache_max_size_intt_intt(device_index, max_size); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__cufft_clear_plan_cache_intt)(void* device_index);
-  HOST_API void* lantern__cufft_clear_plan_cache_intt(void* device_index) { LANTERN_CHECK_LOADED void* ret = _lantern__cufft_clear_plan_cache_intt(device_index); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_index_tensor_constclistcoptionaltensor)(void* self, void* indices);
-  HOST_API void* lantern_index_tensor_constclistcoptionaltensor(void* self, void* indices) { LANTERN_CHECK_LOADED void* ret = _lantern_index_tensor_constclistcoptionaltensor(self, indices); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_Tensor_index_tensor_constclistcoptionaltensor)(void* self, void* indices);
-  HOST_API void* lantern_Tensor_index_tensor_constclistcoptionaltensor(void* self, void* indices) { void* ret = _lantern_Tensor_index_tensor_constclistcoptionaltensor(self, indices); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_index_out_tensor_tensor_constclistcoptionaltensor)(void* out, void* self, void* indices);
-  HOST_API void* lantern_index_out_tensor_tensor_constclistcoptionaltensor(void* out, void* self, void* indices) { LANTERN_CHECK_LOADED void* ret = _lantern_index_out_tensor_tensor_constclistcoptionaltensor(out, self, indices); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__cufft_get_plan_cache_size_deviceindex)(void* device_index);
+  HOST_API void* lantern__cufft_get_plan_cache_size_deviceindex(void* device_index) { LANTERN_CHECK_LOADED void* ret = _lantern__cufft_get_plan_cache_size_deviceindex(device_index); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__cufft_get_plan_cache_max_size_deviceindex)(void* device_index);
+  HOST_API void* lantern__cufft_get_plan_cache_max_size_deviceindex(void* device_index) { LANTERN_CHECK_LOADED void* ret = _lantern__cufft_get_plan_cache_max_size_deviceindex(device_index); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__cufft_set_plan_cache_max_size_deviceindex_intt)(void* device_index, void* max_size);
+  HOST_API void* lantern__cufft_set_plan_cache_max_size_deviceindex_intt(void* device_index, void* max_size) { LANTERN_CHECK_LOADED void* ret = _lantern__cufft_set_plan_cache_max_size_deviceindex_intt(device_index, max_size); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__cufft_clear_plan_cache_deviceindex)(void* device_index);
+  HOST_API void* lantern__cufft_clear_plan_cache_deviceindex(void* device_index) { LANTERN_CHECK_LOADED void* ret = _lantern__cufft_clear_plan_cache_deviceindex(device_index); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_index_tensor_constcliststdoptionaltensor)(void* self, void* indices);
+  HOST_API void* lantern_index_tensor_constcliststdoptionaltensor(void* self, void* indices) { LANTERN_CHECK_LOADED void* ret = _lantern_index_tensor_constcliststdoptionaltensor(self, indices); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_Tensor_index_tensor_constcliststdoptionaltensor)(void* self, void* indices);
+  HOST_API void* lantern_Tensor_index_tensor_constcliststdoptionaltensor(void* self, void* indices) { void* ret = _lantern_Tensor_index_tensor_constcliststdoptionaltensor(self, indices); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_index_out_tensor_tensor_constcliststdoptionaltensor)(void* out, void* self, void* indices);
+  HOST_API void* lantern_index_out_tensor_tensor_constcliststdoptionaltensor(void* out, void* self, void* indices) { LANTERN_CHECK_LOADED void* ret = _lantern_index_out_tensor_tensor_constcliststdoptionaltensor(out, self, indices); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__unsafe_index_tensor_constcliststdoptionaltensor)(void* self, void* indices);
+  HOST_API void* lantern__unsafe_index_tensor_constcliststdoptionaltensor(void* self, void* indices) { LANTERN_CHECK_LOADED void* ret = _lantern__unsafe_index_tensor_constcliststdoptionaltensor(self, indices); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__unsafe_masked_index_tensor_tensor_constcliststdoptionaltensor_scalar)(void* self, void* mask, void* indices, void* fill);
+  HOST_API void* lantern__unsafe_masked_index_tensor_tensor_constcliststdoptionaltensor_scalar(void* self, void* mask, void* indices, void* fill) { LANTERN_CHECK_LOADED void* ret = _lantern__unsafe_masked_index_tensor_tensor_constcliststdoptionaltensor_scalar(self, mask, indices, fill); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__unsafe_masked_index_put_accumulate_tensor_tensor_constcliststdoptionaltensor_tensor)(void* self, void* mask, void* indices, void* values);
+  HOST_API void* lantern__unsafe_masked_index_put_accumulate_tensor_tensor_constcliststdoptionaltensor_tensor(void* self, void* mask, void* indices, void* values) { LANTERN_CHECK_LOADED void* ret = _lantern__unsafe_masked_index_put_accumulate_tensor_tensor_constcliststdoptionaltensor_tensor(self, mask, indices, values); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_index_copy_out_tensor_tensor_intt_tensor_tensor)(void* out, void* self, void* dim, void* index, void* source);
   HOST_API void* lantern_index_copy_out_tensor_tensor_intt_tensor_tensor(void* out, void* self, void* dim, void* index, void* source) { LANTERN_CHECK_LOADED void* ret = _lantern_index_copy_out_tensor_tensor_intt_tensor_tensor(out, self, dim, index, source); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_index_copy__tensor_intt_tensor_tensor)(void* self, void* dim, void* index, void* source);
@@ -3946,16 +3996,18 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_index_copy_tensor_dimname_tensor_tensor(void* self, void* dim, void* index, void* source) { LANTERN_CHECK_LOADED void* ret = _lantern_index_copy_tensor_dimname_tensor_tensor(self, dim, index, source); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_index_copy_tensor_dimname_tensor_tensor)(void* self, void* dim, void* index, void* source);
   HOST_API void* lantern_Tensor_index_copy_tensor_dimname_tensor_tensor(void* self, void* dim, void* index, void* source) { void* ret = _lantern_Tensor_index_copy_tensor_dimname_tensor_tensor(self, dim, index, source); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_index_put__tensor_constclistcoptionaltensor_tensor_bool)(void* self, void* indices, void* values, void* accumulate);
-  HOST_API void* lantern_index_put__tensor_constclistcoptionaltensor_tensor_bool(void* self, void* indices, void* values, void* accumulate) { LANTERN_CHECK_LOADED void* ret = _lantern_index_put__tensor_constclistcoptionaltensor_tensor_bool(self, indices, values, accumulate); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_Tensor_index_put__tensor_constclistcoptionaltensor_tensor_bool)(void* self, void* indices, void* values, void* accumulate);
-  HOST_API void* lantern_Tensor_index_put__tensor_constclistcoptionaltensor_tensor_bool(void* self, void* indices, void* values, void* accumulate) { void* ret = _lantern_Tensor_index_put__tensor_constclistcoptionaltensor_tensor_bool(self, indices, values, accumulate); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_index_put_tensor_constclistcoptionaltensor_tensor_bool)(void* self, void* indices, void* values, void* accumulate);
-  HOST_API void* lantern_index_put_tensor_constclistcoptionaltensor_tensor_bool(void* self, void* indices, void* values, void* accumulate) { LANTERN_CHECK_LOADED void* ret = _lantern_index_put_tensor_constclistcoptionaltensor_tensor_bool(self, indices, values, accumulate); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_Tensor_index_put_tensor_constclistcoptionaltensor_tensor_bool)(void* self, void* indices, void* values, void* accumulate);
-  HOST_API void* lantern_Tensor_index_put_tensor_constclistcoptionaltensor_tensor_bool(void* self, void* indices, void* values, void* accumulate) { void* ret = _lantern_Tensor_index_put_tensor_constclistcoptionaltensor_tensor_bool(self, indices, values, accumulate); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__index_put_impl__tensor_constclistcoptionaltensor_tensor_bool_bool)(void* self, void* indices, void* values, void* accumulate, void* unsafe);
-  HOST_API void* lantern__index_put_impl__tensor_constclistcoptionaltensor_tensor_bool_bool(void* self, void* indices, void* values, void* accumulate, void* unsafe) { LANTERN_CHECK_LOADED void* ret = _lantern__index_put_impl__tensor_constclistcoptionaltensor_tensor_bool_bool(self, indices, values, accumulate, unsafe); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_index_put__tensor_constcliststdoptionaltensor_tensor_bool)(void* self, void* indices, void* values, void* accumulate);
+  HOST_API void* lantern_index_put__tensor_constcliststdoptionaltensor_tensor_bool(void* self, void* indices, void* values, void* accumulate) { LANTERN_CHECK_LOADED void* ret = _lantern_index_put__tensor_constcliststdoptionaltensor_tensor_bool(self, indices, values, accumulate); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_Tensor_index_put__tensor_constcliststdoptionaltensor_tensor_bool)(void* self, void* indices, void* values, void* accumulate);
+  HOST_API void* lantern_Tensor_index_put__tensor_constcliststdoptionaltensor_tensor_bool(void* self, void* indices, void* values, void* accumulate) { void* ret = _lantern_Tensor_index_put__tensor_constcliststdoptionaltensor_tensor_bool(self, indices, values, accumulate); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_index_put_tensor_constcliststdoptionaltensor_tensor_bool)(void* self, void* indices, void* values, void* accumulate);
+  HOST_API void* lantern_index_put_tensor_constcliststdoptionaltensor_tensor_bool(void* self, void* indices, void* values, void* accumulate) { LANTERN_CHECK_LOADED void* ret = _lantern_index_put_tensor_constcliststdoptionaltensor_tensor_bool(self, indices, values, accumulate); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_Tensor_index_put_tensor_constcliststdoptionaltensor_tensor_bool)(void* self, void* indices, void* values, void* accumulate);
+  HOST_API void* lantern_Tensor_index_put_tensor_constcliststdoptionaltensor_tensor_bool(void* self, void* indices, void* values, void* accumulate) { void* ret = _lantern_Tensor_index_put_tensor_constcliststdoptionaltensor_tensor_bool(self, indices, values, accumulate); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__unsafe_index_put_tensor_constcliststdoptionaltensor_tensor_bool)(void* self, void* indices, void* values, void* accumulate);
+  HOST_API void* lantern__unsafe_index_put_tensor_constcliststdoptionaltensor_tensor_bool(void* self, void* indices, void* values, void* accumulate) { LANTERN_CHECK_LOADED void* ret = _lantern__unsafe_index_put_tensor_constcliststdoptionaltensor_tensor_bool(self, indices, values, accumulate); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__index_put_impl__tensor_constcliststdoptionaltensor_tensor_bool_bool)(void* self, void* indices, void* values, void* accumulate, void* unsafe);
+  HOST_API void* lantern__index_put_impl__tensor_constcliststdoptionaltensor_tensor_bool_bool(void* self, void* indices, void* values, void* accumulate, void* unsafe) { LANTERN_CHECK_LOADED void* ret = _lantern__index_put_impl__tensor_constcliststdoptionaltensor_tensor_bool_bool(self, indices, values, accumulate, unsafe); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_instance_norm_tensor_tensor_tensor_tensor_tensor_bool_double_double_bool)(void* input, void* weight, void* bias, void* running_mean, void* running_var, void* use_input_stats, void* momentum, void* eps, void* cudnn_enabled);
   HOST_API void* lantern_instance_norm_tensor_tensor_tensor_tensor_tensor_bool_double_double_bool(void* input, void* weight, void* bias, void* running_mean, void* running_var, void* use_input_stats, void* momentum, void* eps, void* cudnn_enabled) { LANTERN_CHECK_LOADED void* ret = _lantern_instance_norm_tensor_tensor_tensor_tensor_tensor_bool_double_double_bool(input, weight, bias, running_mean, running_var, use_input_stats, momentum, eps, cudnn_enabled); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_isclose_tensor_tensor_double_double_bool)(void* self, void* other, void* rtol, void* atol, void* equal_nan);
@@ -4048,6 +4100,8 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_native_layer_norm_tensor_intarrayref_tensor_tensor_double(void* input, void* normalized_shape, void* weight, void* bias, void* eps) { LANTERN_CHECK_LOADED void* ret = _lantern_native_layer_norm_tensor_intarrayref_tensor_tensor_double(input, normalized_shape, weight, bias, eps); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_native_layer_norm_backward_tensor_tensor_intarrayref_tensor_tensor_tensor_tensor_stdarraybool)(void* grad_out, void* input, void* normalized_shape, void* mean, void* rstd, void* weight, void* bias, void* output_mask);
   HOST_API void* lantern_native_layer_norm_backward_tensor_tensor_intarrayref_tensor_tensor_tensor_tensor_stdarraybool(void* grad_out, void* input, void* normalized_shape, void* mean, void* rstd, void* weight, void* bias, void* output_mask) { LANTERN_CHECK_LOADED void* ret = _lantern_native_layer_norm_backward_tensor_tensor_intarrayref_tensor_tensor_tensor_tensor_stdarraybool(grad_out, input, normalized_shape, mean, rstd, weight, bias, output_mask); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_rms_norm_tensor_intarrayref_tensor_double)(void* input, void* normalized_shape, void* weight, void* eps);
+  HOST_API void* lantern_rms_norm_tensor_intarrayref_tensor_double(void* input, void* normalized_shape, void* weight, void* eps) { LANTERN_CHECK_LOADED void* ret = _lantern_rms_norm_tensor_intarrayref_tensor_double(input, normalized_shape, weight, eps); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_nan_to_num_tensor_double_double_double)(void* self, void* nan, void* posinf, void* neginf);
   HOST_API void* lantern_nan_to_num_tensor_double_double_double(void* self, void* nan, void* posinf, void* neginf) { LANTERN_CHECK_LOADED void* ret = _lantern_nan_to_num_tensor_double_double_double(self, nan, posinf, neginf); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_nan_to_num_tensor_double_double_double)(void* self, void* nan, void* posinf, void* neginf);
@@ -4072,6 +4126,26 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_mkldnn_linear_backward_weights_tensor_tensor_tensor_bool(void* grad_output, void* input, void* weight, void* bias_defined) { LANTERN_CHECK_LOADED void* ret = _lantern_mkldnn_linear_backward_weights_tensor_tensor_tensor_bool(grad_output, input, weight, bias_defined); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_mkldnn_linear_backward_tensor_tensor_tensor_stdarraybool)(void* self, void* grad_output, void* weight, void* output_mask);
   HOST_API void* lantern_mkldnn_linear_backward_tensor_tensor_tensor_stdarraybool(void* self, void* grad_output, void* weight, void* output_mask) { LANTERN_CHECK_LOADED void* ret = _lantern_mkldnn_linear_backward_tensor_tensor_tensor_stdarraybool(self, grad_output, weight, output_mask); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__cslt_compress_tensor)(void* input);
+  HOST_API void* lantern__cslt_compress_tensor(void* input) { LANTERN_CHECK_LOADED void* ret = _lantern__cslt_compress_tensor(input); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__cslt_sparse_mm_tensor_tensor_tensor_tensor_scalartype_bool_intt)(void* compressed_A, void* dense_B, void* bias, void* alpha, void* out_dtype, void* transpose_result, void* alg_id);
+  HOST_API void* lantern__cslt_sparse_mm_tensor_tensor_tensor_tensor_scalartype_bool_intt(void* compressed_A, void* dense_B, void* bias, void* alpha, void* out_dtype, void* transpose_result, void* alg_id) { LANTERN_CHECK_LOADED void* ret = _lantern__cslt_sparse_mm_tensor_tensor_tensor_tensor_scalartype_bool_intt(compressed_A, dense_B, bias, alpha, out_dtype, transpose_result, alg_id); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__cslt_sparse_mm_search_tensor_tensor_tensor_tensor_scalartype_bool)(void* compressed_A, void* dense_B, void* bias, void* alpha, void* out_dtype, void* transpose_result);
+  HOST_API void* lantern__cslt_sparse_mm_search_tensor_tensor_tensor_tensor_scalartype_bool(void* compressed_A, void* dense_B, void* bias, void* alpha, void* out_dtype, void* transpose_result) { LANTERN_CHECK_LOADED void* ret = _lantern__cslt_sparse_mm_search_tensor_tensor_tensor_tensor_scalartype_bool(compressed_A, dense_B, bias, alpha, out_dtype, transpose_result); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__sparse_semi_structured_tile_tensor_cstringview_bool)(void* input, void* algorithm, void* use_cutlass);
+  HOST_API void* lantern__sparse_semi_structured_tile_tensor_cstringview_bool(void* input, void* algorithm, void* use_cutlass) { LANTERN_CHECK_LOADED void* ret = _lantern__sparse_semi_structured_tile_tensor_cstringview_bool(input, algorithm, use_cutlass); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__sparse_semi_structured_apply_tensor_tensor)(void* input, void* thread_masks);
+  HOST_API void* lantern__sparse_semi_structured_apply_tensor_tensor(void* input, void* thread_masks) { LANTERN_CHECK_LOADED void* ret = _lantern__sparse_semi_structured_apply_tensor_tensor(input, thread_masks); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__sparse_semi_structured_apply_dense_tensor_tensor)(void* input, void* thread_masks);
+  HOST_API void* lantern__sparse_semi_structured_apply_dense_tensor_tensor(void* input, void* thread_masks) { LANTERN_CHECK_LOADED void* ret = _lantern__sparse_semi_structured_apply_dense_tensor_tensor(input, thread_masks); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__sparse_semi_structured_linear_tensor_tensor_tensor_tensor_cstringview_scalartype)(void* input, void* weight, void* meta, void* bias, void* activation, void* out_dtype);
+  HOST_API void* lantern__sparse_semi_structured_linear_tensor_tensor_tensor_tensor_cstringview_scalartype(void* input, void* weight, void* meta, void* bias, void* activation, void* out_dtype) { LANTERN_CHECK_LOADED void* ret = _lantern__sparse_semi_structured_linear_tensor_tensor_tensor_tensor_cstringview_scalartype(input, weight, meta, bias, activation, out_dtype); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__sparse_semi_structured_mm_tensor_tensor_tensor_scalartype)(void* mat1, void* mat1_meta, void* mat2, void* out_dtype);
+  HOST_API void* lantern__sparse_semi_structured_mm_tensor_tensor_tensor_scalartype(void* mat1, void* mat1_meta, void* mat2, void* out_dtype) { LANTERN_CHECK_LOADED void* ret = _lantern__sparse_semi_structured_mm_tensor_tensor_tensor_scalartype(mat1, mat1_meta, mat2, out_dtype); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__sparse_semi_structured_addmm_tensor_tensor_tensor_tensor_scalar_scalar_scalartype)(void* input, void* mat1, void* mat1_meta, void* mat2, void* alpha, void* beta, void* out_dtype);
+  HOST_API void* lantern__sparse_semi_structured_addmm_tensor_tensor_tensor_tensor_scalar_scalar_scalartype(void* input, void* mat1, void* mat1_meta, void* mat2, void* alpha, void* beta, void* out_dtype) { LANTERN_CHECK_LOADED void* ret = _lantern__sparse_semi_structured_addmm_tensor_tensor_tensor_tensor_scalar_scalar_scalartype(input, mat1, mat1_meta, mat2, alpha, beta, out_dtype); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__mixed_dtypes_linear_tensor_tensor_tensor_tensor_cstringview)(void* input, void* weight, void* scale, void* bias, void* activation);
+  HOST_API void* lantern__mixed_dtypes_linear_tensor_tensor_tensor_tensor_cstringview(void* input, void* weight, void* scale, void* bias, void* activation) { LANTERN_CHECK_LOADED void* ret = _lantern__mixed_dtypes_linear_tensor_tensor_tensor_tensor_cstringview(input, weight, scale, bias, activation); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_fbgemm_linear_int8_weight_fp32_activation_tensor_tensor_tensor_tensor_scalar_scalar_tensor)(void* input, void* weight, void* packed, void* col_offsets, void* weight_scale, void* weight_zero_point, void* bias);
   HOST_API void* lantern_fbgemm_linear_int8_weight_fp32_activation_tensor_tensor_tensor_tensor_scalar_scalar_tensor(void* input, void* weight, void* packed, void* col_offsets, void* weight_scale, void* weight_zero_point, void* bias) { LANTERN_CHECK_LOADED void* ret = _lantern_fbgemm_linear_int8_weight_fp32_activation_tensor_tensor_tensor_tensor_scalar_scalar_tensor(input, weight, packed, col_offsets, weight_scale, weight_zero_point, bias); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_fbgemm_linear_int8_weight_tensor_tensor_tensor_tensor_scalar_scalar_tensor)(void* input, void* weight, void* packed, void* col_offsets, void* weight_scale, void* weight_zero_point, void* bias);
@@ -4080,6 +4154,10 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_fbgemm_linear_quantize_weight_tensor(void* input) { LANTERN_CHECK_LOADED void* ret = _lantern_fbgemm_linear_quantize_weight_tensor(input); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_fbgemm_pack_gemm_matrix_fp16_tensor)(void* input);
   HOST_API void* lantern_fbgemm_pack_gemm_matrix_fp16_tensor(void* input) { LANTERN_CHECK_LOADED void* ret = _lantern_fbgemm_pack_gemm_matrix_fp16_tensor(input); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__wrapped_linear_prepack_tensor_tensor_tensor_tensor)(void* weight, void* weight_scale, void* weight_zero_point, void* bias);
+  HOST_API void* lantern__wrapped_linear_prepack_tensor_tensor_tensor_tensor(void* weight, void* weight_scale, void* weight_zero_point, void* bias) { LANTERN_CHECK_LOADED void* ret = _lantern__wrapped_linear_prepack_tensor_tensor_tensor_tensor(weight, weight_scale, weight_zero_point, bias); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__wrapped_quantized_linear_prepacked_tensor_tensor_tensor_tensor_tensor_tensor_intt)(void* input, void* input_scale, void* input_zero_point, void* packed_weight, void* output_scale, void* output_zero_point, void* out_channel);
+  HOST_API void* lantern__wrapped_quantized_linear_prepacked_tensor_tensor_tensor_tensor_tensor_tensor_intt(void* input, void* input_scale, void* input_zero_point, void* packed_weight, void* output_scale, void* output_zero_point, void* out_channel) { LANTERN_CHECK_LOADED void* ret = _lantern__wrapped_quantized_linear_prepacked_tensor_tensor_tensor_tensor_tensor_tensor_intt(input, input_scale, input_zero_point, packed_weight, output_scale, output_zero_point, out_channel); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_fbgemm_linear_fp16_weight_fp32_activation_tensor_tensor_tensor)(void* input, void* packed_weight, void* bias);
   HOST_API void* lantern_fbgemm_linear_fp16_weight_fp32_activation_tensor_tensor_tensor(void* input, void* packed_weight, void* bias) { LANTERN_CHECK_LOADED void* ret = _lantern_fbgemm_linear_fp16_weight_fp32_activation_tensor_tensor_tensor(input, packed_weight, bias); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_fbgemm_linear_fp16_weight_tensor_tensor_tensor)(void* input, void* packed_weight, void* bias);
@@ -4100,8 +4178,20 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_ldexp_out_tensor_tensor_tensor(void* out, void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern_ldexp_out_tensor_tensor_tensor(out, self, other); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_linspace_scalar_scalar_intt_tensoroptions)(void* start, void* end, void* steps, void* options);
   HOST_API void* lantern_linspace_scalar_scalar_intt_tensoroptions(void* start, void* end, void* steps, void* options) { LANTERN_CHECK_LOADED void* ret = _lantern_linspace_scalar_scalar_intt_tensoroptions(start, end, steps, options); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_linspace_tensor_tensor_intt_tensoroptions)(void* start, void* end, void* steps, void* options);
+  HOST_API void* lantern_linspace_tensor_tensor_intt_tensoroptions(void* start, void* end, void* steps, void* options) { LANTERN_CHECK_LOADED void* ret = _lantern_linspace_tensor_tensor_intt_tensoroptions(start, end, steps, options); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_linspace_tensor_scalar_intt_tensoroptions)(void* start, void* end, void* steps, void* options);
+  HOST_API void* lantern_linspace_tensor_scalar_intt_tensoroptions(void* start, void* end, void* steps, void* options) { LANTERN_CHECK_LOADED void* ret = _lantern_linspace_tensor_scalar_intt_tensoroptions(start, end, steps, options); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_linspace_scalar_tensor_intt_tensoroptions)(void* start, void* end, void* steps, void* options);
+  HOST_API void* lantern_linspace_scalar_tensor_intt_tensoroptions(void* start, void* end, void* steps, void* options) { LANTERN_CHECK_LOADED void* ret = _lantern_linspace_scalar_tensor_intt_tensoroptions(start, end, steps, options); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_linspace_out_tensor_scalar_scalar_intt)(void* out, void* start, void* end, void* steps);
   HOST_API void* lantern_linspace_out_tensor_scalar_scalar_intt(void* out, void* start, void* end, void* steps) { LANTERN_CHECK_LOADED void* ret = _lantern_linspace_out_tensor_scalar_scalar_intt(out, start, end, steps); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_linspace_out_tensor_tensor_tensor_intt)(void* out, void* start, void* end, void* steps);
+  HOST_API void* lantern_linspace_out_tensor_tensor_tensor_intt(void* out, void* start, void* end, void* steps) { LANTERN_CHECK_LOADED void* ret = _lantern_linspace_out_tensor_tensor_tensor_intt(out, start, end, steps); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_linspace_out_tensor_tensor_scalar_intt)(void* out, void* start, void* end, void* steps);
+  HOST_API void* lantern_linspace_out_tensor_tensor_scalar_intt(void* out, void* start, void* end, void* steps) { LANTERN_CHECK_LOADED void* ret = _lantern_linspace_out_tensor_tensor_scalar_intt(out, start, end, steps); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_linspace_out_tensor_scalar_tensor_intt)(void* out, void* start, void* end, void* steps);
+  HOST_API void* lantern_linspace_out_tensor_scalar_tensor_intt(void* out, void* start, void* end, void* steps) { LANTERN_CHECK_LOADED void* ret = _lantern_linspace_out_tensor_scalar_tensor_intt(out, start, end, steps); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_log_tensor)(void* self);
   HOST_API void* lantern_log_tensor(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern_log_tensor(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_log_tensor)(void* self);
@@ -4180,8 +4270,20 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_xlogy_out_tensor_tensor_scalar(void* out, void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern_xlogy_out_tensor_tensor_scalar(out, self, other); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_logspace_scalar_scalar_intt_double_tensoroptions)(void* start, void* end, void* steps, void* base, void* options);
   HOST_API void* lantern_logspace_scalar_scalar_intt_double_tensoroptions(void* start, void* end, void* steps, void* base, void* options) { LANTERN_CHECK_LOADED void* ret = _lantern_logspace_scalar_scalar_intt_double_tensoroptions(start, end, steps, base, options); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_logspace_tensor_tensor_intt_double_tensoroptions)(void* start, void* end, void* steps, void* base, void* options);
+  HOST_API void* lantern_logspace_tensor_tensor_intt_double_tensoroptions(void* start, void* end, void* steps, void* base, void* options) { LANTERN_CHECK_LOADED void* ret = _lantern_logspace_tensor_tensor_intt_double_tensoroptions(start, end, steps, base, options); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_logspace_tensor_scalar_intt_double_tensoroptions)(void* start, void* end, void* steps, void* base, void* options);
+  HOST_API void* lantern_logspace_tensor_scalar_intt_double_tensoroptions(void* start, void* end, void* steps, void* base, void* options) { LANTERN_CHECK_LOADED void* ret = _lantern_logspace_tensor_scalar_intt_double_tensoroptions(start, end, steps, base, options); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_logspace_scalar_tensor_intt_double_tensoroptions)(void* start, void* end, void* steps, void* base, void* options);
+  HOST_API void* lantern_logspace_scalar_tensor_intt_double_tensoroptions(void* start, void* end, void* steps, void* base, void* options) { LANTERN_CHECK_LOADED void* ret = _lantern_logspace_scalar_tensor_intt_double_tensoroptions(start, end, steps, base, options); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_logspace_out_tensor_scalar_scalar_intt_double)(void* out, void* start, void* end, void* steps, void* base);
   HOST_API void* lantern_logspace_out_tensor_scalar_scalar_intt_double(void* out, void* start, void* end, void* steps, void* base) { LANTERN_CHECK_LOADED void* ret = _lantern_logspace_out_tensor_scalar_scalar_intt_double(out, start, end, steps, base); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_logspace_out_tensor_tensor_tensor_intt_double)(void* out, void* start, void* end, void* steps, void* base);
+  HOST_API void* lantern_logspace_out_tensor_tensor_tensor_intt_double(void* out, void* start, void* end, void* steps, void* base) { LANTERN_CHECK_LOADED void* ret = _lantern_logspace_out_tensor_tensor_tensor_intt_double(out, start, end, steps, base); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_logspace_out_tensor_tensor_scalar_intt_double)(void* out, void* start, void* end, void* steps, void* base);
+  HOST_API void* lantern_logspace_out_tensor_tensor_scalar_intt_double(void* out, void* start, void* end, void* steps, void* base) { LANTERN_CHECK_LOADED void* ret = _lantern_logspace_out_tensor_tensor_scalar_intt_double(out, start, end, steps, base); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_logspace_out_tensor_scalar_tensor_intt_double)(void* out, void* start, void* end, void* steps, void* base);
+  HOST_API void* lantern_logspace_out_tensor_scalar_tensor_intt_double(void* out, void* start, void* end, void* steps, void* base) { LANTERN_CHECK_LOADED void* ret = _lantern_logspace_out_tensor_scalar_tensor_intt_double(out, start, end, steps, base); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_log_softmax_tensor_intt_scalartype)(void* self, void* dim, void* dtype);
   HOST_API void* lantern_log_softmax_tensor_intt_scalartype(void* self, void* dim, void* dtype) { LANTERN_CHECK_LOADED void* ret = _lantern_log_softmax_tensor_intt_scalartype(self, dim, dtype); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_log_softmax_tensor_intt_scalartype)(void* self, void* dim, void* dtype);
@@ -4304,12 +4406,16 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_quantized_max_pool1d_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool(void* self, void* kernel_size, void* stride, void* padding, void* dilation, void* ceil_mode) { LANTERN_CHECK_LOADED void* ret = _lantern_quantized_max_pool1d_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool(self, kernel_size, stride, padding, dilation, ceil_mode); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_quantized_max_pool2d_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool)(void* self, void* kernel_size, void* stride, void* padding, void* dilation, void* ceil_mode);
   HOST_API void* lantern_quantized_max_pool2d_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool(void* self, void* kernel_size, void* stride, void* padding, void* dilation, void* ceil_mode) { LANTERN_CHECK_LOADED void* ret = _lantern_quantized_max_pool2d_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool(self, kernel_size, stride, padding, dilation, ceil_mode); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_quantized_max_pool3d_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool)(void* self, void* kernel_size, void* stride, void* padding, void* dilation, void* ceil_mode);
+  HOST_API void* lantern_quantized_max_pool3d_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool(void* self, void* kernel_size, void* stride, void* padding, void* dilation, void* ceil_mode) { LANTERN_CHECK_LOADED void* ret = _lantern_quantized_max_pool3d_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool(self, kernel_size, stride, padding, dilation, ceil_mode); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_max_pool3d_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool)(void* self, void* kernel_size, void* stride, void* padding, void* dilation, void* ceil_mode);
   HOST_API void* lantern_max_pool3d_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool(void* self, void* kernel_size, void* stride, void* padding, void* dilation, void* ceil_mode) { LANTERN_CHECK_LOADED void* ret = _lantern_max_pool3d_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool(self, kernel_size, stride, padding, dilation, ceil_mode); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_mean_tensor_scalartype)(void* self, void* dtype);
   HOST_API void* lantern_mean_tensor_scalartype(void* self, void* dtype) { LANTERN_CHECK_LOADED void* ret = _lantern_mean_tensor_scalartype(self, dtype); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_mean_tensor_scalartype)(void* self, void* dtype);
   HOST_API void* lantern_Tensor_mean_tensor_scalartype(void* self, void* dtype) { void* ret = _lantern_Tensor_mean_tensor_scalartype(self, dtype); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_mean_out_tensor_tensor_scalartype)(void* out, void* self, void* dtype);
+  HOST_API void* lantern_mean_out_tensor_tensor_scalartype(void* out, void* self, void* dtype) { LANTERN_CHECK_LOADED void* ret = _lantern_mean_out_tensor_tensor_scalartype(out, self, dtype); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_mean_tensor_intarrayref_bool_scalartype)(void* self, void* dim, void* keepdim, void* dtype);
   HOST_API void* lantern_mean_tensor_intarrayref_bool_scalartype(void* self, void* dim, void* keepdim, void* dtype) { LANTERN_CHECK_LOADED void* ret = _lantern_mean_tensor_intarrayref_bool_scalartype(self, dim, keepdim, dtype); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_mean_tensor_intarrayref_bool_scalartype)(void* self, void* dim, void* keepdim, void* dtype);
@@ -4412,6 +4518,16 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_Tensor_mm_tensor_tensor(void* self, void* mat2) { void* ret = _lantern_Tensor_mm_tensor_tensor(self, mat2); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_mm_out_tensor_tensor_tensor)(void* out, void* self, void* mat2);
   HOST_API void* lantern_mm_out_tensor_tensor_tensor(void* out, void* self, void* mat2) { LANTERN_CHECK_LOADED void* ret = _lantern_mm_out_tensor_tensor_tensor(out, self, mat2); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__int_mm_tensor_tensor)(void* self, void* mat2);
+  HOST_API void* lantern__int_mm_tensor_tensor(void* self, void* mat2) { LANTERN_CHECK_LOADED void* ret = _lantern__int_mm_tensor_tensor(self, mat2); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__int_mm_out_tensor_tensor_tensor)(void* out, void* self, void* mat2);
+  HOST_API void* lantern__int_mm_out_tensor_tensor_tensor(void* out, void* self, void* mat2) { LANTERN_CHECK_LOADED void* ret = _lantern__int_mm_out_tensor_tensor_tensor(out, self, mat2); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__convert_weight_to_int4pack_tensor_intt)(void* self, void* innerKTiles);
+  HOST_API void* lantern__convert_weight_to_int4pack_tensor_intt(void* self, void* innerKTiles) { LANTERN_CHECK_LOADED void* ret = _lantern__convert_weight_to_int4pack_tensor_intt(self, innerKTiles); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__weight_int4pack_mm_tensor_tensor_intt_tensor)(void* self, void* mat2, void* qGroupSize, void* qScaleAndZeros);
+  HOST_API void* lantern__weight_int4pack_mm_tensor_tensor_intt_tensor(void* self, void* mat2, void* qGroupSize, void* qScaleAndZeros) { LANTERN_CHECK_LOADED void* ret = _lantern__weight_int4pack_mm_tensor_tensor_intt_tensor(self, mat2, qGroupSize, qScaleAndZeros); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__weight_int8pack_mm_tensor_tensor_tensor)(void* self, void* mat2, void* scales);
+  HOST_API void* lantern__weight_int8pack_mm_tensor_tensor_tensor(void* self, void* mat2, void* scales) { LANTERN_CHECK_LOADED void* ret = _lantern__weight_int8pack_mm_tensor_tensor_tensor(self, mat2, scales); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__sparse_mm_tensor_tensor)(void* sparse, void* dense);
   HOST_API void* lantern__sparse_mm_tensor_tensor(void* sparse, void* dense) { LANTERN_CHECK_LOADED void* ret = _lantern__sparse_mm_tensor_tensor(sparse, dense); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__sparse_mm_tensor_tensor_cstringview)(void* sparse, void* dense, void* reduce);
@@ -4492,6 +4608,8 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_native_batch_norm_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_double_double(void* out, void* save_mean, void* save_invstd, void* input, void* weight, void* bias, void* running_mean, void* running_var, void* training, void* momentum, void* eps) { LANTERN_CHECK_LOADED void* ret = _lantern_native_batch_norm_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_double_double(out, save_mean, save_invstd, input, weight, bias, running_mean, running_var, training, momentum, eps); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__native_batch_norm_legit_tensor_tensor_tensor_tensor_tensor_bool_double_double)(void* input, void* weight, void* bias, void* running_mean, void* running_var, void* training, void* momentum, void* eps);
   HOST_API void* lantern__native_batch_norm_legit_tensor_tensor_tensor_tensor_tensor_bool_double_double(void* input, void* weight, void* bias, void* running_mean, void* running_var, void* training, void* momentum, void* eps) { LANTERN_CHECK_LOADED void* ret = _lantern__native_batch_norm_legit_tensor_tensor_tensor_tensor_tensor_bool_double_double(input, weight, bias, running_mean, running_var, training, momentum, eps); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__native_batch_norm_legit_no_training_tensor_tensor_tensor_tensor_tensor_double_double)(void* input, void* weight, void* bias, void* running_mean, void* running_var, void* momentum, void* eps);
+  HOST_API void* lantern__native_batch_norm_legit_no_training_tensor_tensor_tensor_tensor_tensor_double_double(void* input, void* weight, void* bias, void* running_mean, void* running_var, void* momentum, void* eps) { LANTERN_CHECK_LOADED void* ret = _lantern__native_batch_norm_legit_no_training_tensor_tensor_tensor_tensor_tensor_double_double(input, weight, bias, running_mean, running_var, momentum, eps); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__native_batch_norm_legit_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_double_double)(void* out, void* save_mean, void* save_invstd, void* input, void* weight, void* bias, void* running_mean, void* running_var, void* training, void* momentum, void* eps);
   HOST_API void* lantern__native_batch_norm_legit_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_double_double(void* out, void* save_mean, void* save_invstd, void* input, void* weight, void* bias, void* running_mean, void* running_var, void* training, void* momentum, void* eps) { LANTERN_CHECK_LOADED void* ret = _lantern__native_batch_norm_legit_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_double_double(out, save_mean, save_invstd, input, weight, bias, running_mean, running_var, training, momentum, eps); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__native_batch_norm_legit_tensor_tensor_tensor_bool_double_double)(void* input, void* weight, void* bias, void* training, void* momentum, void* eps);
@@ -4512,8 +4630,8 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_native_batch_norm_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_double_stdarraybool(void* grad_out, void* input, void* weight, void* running_mean, void* running_var, void* save_mean, void* save_invstd, void* train, void* eps, void* output_mask) { LANTERN_CHECK_LOADED void* ret = _lantern_native_batch_norm_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_double_stdarraybool(grad_out, input, weight, running_mean, running_var, save_mean, save_invstd, train, eps, output_mask); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_batch_norm_backward_reduce_tensor_tensor_tensor_tensor_tensor_bool_bool_bool)(void* grad_out, void* input, void* mean, void* invstd, void* weight, void* input_g, void* weight_g, void* bias_g);
   HOST_API void* lantern_batch_norm_backward_reduce_tensor_tensor_tensor_tensor_tensor_bool_bool_bool(void* grad_out, void* input, void* mean, void* invstd, void* weight, void* input_g, void* weight_g, void* bias_g) { LANTERN_CHECK_LOADED void* ret = _lantern_batch_norm_backward_reduce_tensor_tensor_tensor_tensor_tensor_bool_bool_bool(grad_out, input, mean, invstd, weight, input_g, weight_g, bias_g); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_batch_norm_backward_elemt_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor)(void* grad_out, void* input, void* mean, void* invstd, void* weight, void* mean_dy, void* mean_dy_xmu, void* count);
-  HOST_API void* lantern_batch_norm_backward_elemt_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor(void* grad_out, void* input, void* mean, void* invstd, void* weight, void* mean_dy, void* mean_dy_xmu, void* count) { LANTERN_CHECK_LOADED void* ret = _lantern_batch_norm_backward_elemt_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor(grad_out, input, mean, invstd, weight, mean_dy, mean_dy_xmu, count); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_batch_norm_backward_elemt_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor)(void* grad_out, void* input, void* mean, void* invstd, void* weight, void* sum_dy, void* sum_dy_xmu, void* count);
+  HOST_API void* lantern_batch_norm_backward_elemt_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor(void* grad_out, void* input, void* mean, void* invstd, void* weight, void* sum_dy, void* sum_dy_xmu, void* count) { LANTERN_CHECK_LOADED void* ret = _lantern_batch_norm_backward_elemt_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor(grad_out, input, mean, invstd, weight, sum_dy, sum_dy_xmu, count); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_batch_norm_update_stats_tensor_tensor_tensor_double)(void* input, void* running_mean, void* running_var, void* momentum);
   HOST_API void* lantern_batch_norm_update_stats_tensor_tensor_tensor_double(void* input, void* running_mean, void* running_var, void* momentum) { LANTERN_CHECK_LOADED void* ret = _lantern_batch_norm_update_stats_tensor_tensor_tensor_double(input, running_mean, running_var, momentum); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_is_vulkan_available)();
@@ -4932,6 +5050,10 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_Tensor_slice_tensor_intt_intt_intt_intt(void* self, void* dim, void* start, void* end, void* step) { void* ret = _lantern_Tensor_slice_tensor_intt_intt_intt_intt(self, dim, start, end, step); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_slice_backward_tensor_intarrayref_intt_intt_intt_intt)(void* grad_output, void* input_sizes, void* dim, void* start, void* end, void* step);
   HOST_API void* lantern_slice_backward_tensor_intarrayref_intt_intt_intt_intt(void* grad_output, void* input_sizes, void* dim, void* start, void* end, void* step) { LANTERN_CHECK_LOADED void* ret = _lantern_slice_backward_tensor_intarrayref_intt_intt_intt_intt(grad_output, input_sizes, dim, start, end, step); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_slice_inverse_tensor_tensor_intt_intt_intt_intt)(void* self, void* src, void* dim, void* start, void* end, void* step);
+  HOST_API void* lantern_slice_inverse_tensor_tensor_intt_intt_intt_intt(void* self, void* src, void* dim, void* start, void* end, void* step) { LANTERN_CHECK_LOADED void* ret = _lantern_slice_inverse_tensor_tensor_intt_intt_intt_intt(self, src, dim, start, end, step); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_Tensor_slice_inverse_tensor_tensor_intt_intt_intt_intt)(void* self, void* src, void* dim, void* start, void* end, void* step);
+  HOST_API void* lantern_Tensor_slice_inverse_tensor_tensor_intt_intt_intt_intt(void* self, void* src, void* dim, void* start, void* end, void* step) { void* ret = _lantern_Tensor_slice_inverse_tensor_tensor_intt_intt_intt_intt(self, src, dim, start, end, step); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_slice_scatter_tensor_tensor_intt_intt_intt_intt)(void* self, void* src, void* dim, void* start, void* end, void* step);
   HOST_API void* lantern_slice_scatter_tensor_tensor_intt_intt_intt_intt(void* self, void* src, void* dim, void* start, void* end, void* step) { LANTERN_CHECK_LOADED void* ret = _lantern_slice_scatter_tensor_tensor_intt_intt_intt_intt(self, src, dim, start, end, step); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_slice_scatter_tensor_tensor_intt_intt_intt_intt)(void* self, void* src, void* dim, void* start, void* end, void* step);
@@ -5044,6 +5166,10 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_Tensor_sspaddmm_tensor_tensor_tensor_scalar_scalar(void* self, void* mat1, void* mat2, void* beta, void* alpha) { void* ret = _lantern_Tensor_sspaddmm_tensor_tensor_tensor_scalar_scalar(self, mat1, mat2, beta, alpha); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_sspaddmm_out_tensor_tensor_tensor_tensor_scalar_scalar)(void* out, void* self, void* mat1, void* mat2, void* beta, void* alpha);
   HOST_API void* lantern_sspaddmm_out_tensor_tensor_tensor_tensor_scalar_scalar(void* out, void* self, void* mat1, void* mat2, void* beta, void* alpha) { LANTERN_CHECK_LOADED void* ret = _lantern_sspaddmm_out_tensor_tensor_tensor_tensor_scalar_scalar(out, self, mat1, mat2, beta, alpha); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__chunk_cat_tensorlist_intt_intt)(void* tensors, void* dim, void* num_chunks);
+  HOST_API void* lantern__chunk_cat_tensorlist_intt_intt(void* tensors, void* dim, void* num_chunks) { LANTERN_CHECK_LOADED void* ret = _lantern__chunk_cat_tensorlist_intt_intt(tensors, dim, num_chunks); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__chunk_cat_out_tensor_tensorlist_intt_intt)(void* out, void* tensors, void* dim, void* num_chunks);
+  HOST_API void* lantern__chunk_cat_out_tensor_tensorlist_intt_intt(void* out, void* tensors, void* dim, void* num_chunks) { LANTERN_CHECK_LOADED void* ret = _lantern__chunk_cat_out_tensor_tensorlist_intt_intt(out, tensors, dim, num_chunks); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_stack_tensorlist_intt)(void* tensors, void* dim);
   HOST_API void* lantern_stack_tensorlist_intt(void* tensors, void* dim) { LANTERN_CHECK_LOADED void* ret = _lantern_stack_tensorlist_intt(tensors, dim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_stack_out_tensor_tensorlist_intt)(void* out, void* tensors, void* dim);
@@ -5138,36 +5264,36 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_std_tensor_intarrayref_bool_bool(void* self, void* dim, void* unbiased, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_std_tensor_intarrayref_bool_bool(self, dim, unbiased, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_std_tensor_intarrayref_bool_bool)(void* self, void* dim, void* unbiased, void* keepdim);
   HOST_API void* lantern_Tensor_std_tensor_intarrayref_bool_bool(void* self, void* dim, void* unbiased, void* keepdim) { void* ret = _lantern_Tensor_std_tensor_intarrayref_bool_bool(self, dim, unbiased, keepdim); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_std_tensor_intarrayref_intt_bool)(void* self, void* dim, void* correction, void* keepdim);
-  HOST_API void* lantern_std_tensor_intarrayref_intt_bool(void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_std_tensor_intarrayref_intt_bool(self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_Tensor_std_tensor_intarrayref_intt_bool)(void* self, void* dim, void* correction, void* keepdim);
-  HOST_API void* lantern_Tensor_std_tensor_intarrayref_intt_bool(void* self, void* dim, void* correction, void* keepdim) { void* ret = _lantern_Tensor_std_tensor_intarrayref_intt_bool(self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_std_tensor_intarrayref_scalar_bool)(void* self, void* dim, void* correction, void* keepdim);
+  HOST_API void* lantern_std_tensor_intarrayref_scalar_bool(void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_std_tensor_intarrayref_scalar_bool(self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_Tensor_std_tensor_intarrayref_scalar_bool)(void* self, void* dim, void* correction, void* keepdim);
+  HOST_API void* lantern_Tensor_std_tensor_intarrayref_scalar_bool(void* self, void* dim, void* correction, void* keepdim) { void* ret = _lantern_Tensor_std_tensor_intarrayref_scalar_bool(self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_std_mean_tensor_bool)(void* self, void* unbiased);
   HOST_API void* lantern_std_mean_tensor_bool(void* self, void* unbiased) { LANTERN_CHECK_LOADED void* ret = _lantern_std_mean_tensor_bool(self, unbiased); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_std_mean_tensor_intarrayref_bool_bool)(void* self, void* dim, void* unbiased, void* keepdim);
   HOST_API void* lantern_std_mean_tensor_intarrayref_bool_bool(void* self, void* dim, void* unbiased, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_std_mean_tensor_intarrayref_bool_bool(self, dim, unbiased, keepdim); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_std_mean_tensor_intarrayref_intt_bool)(void* self, void* dim, void* correction, void* keepdim);
-  HOST_API void* lantern_std_mean_tensor_intarrayref_intt_bool(void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_std_mean_tensor_intarrayref_intt_bool(self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_std_mean_tensor_intarrayref_scalar_bool)(void* self, void* dim, void* correction, void* keepdim);
+  HOST_API void* lantern_std_mean_tensor_intarrayref_scalar_bool(void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_std_mean_tensor_intarrayref_scalar_bool(self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_std_mean_tensor_dimnamelist_bool_bool)(void* self, void* dim, void* unbiased, void* keepdim);
   HOST_API void* lantern_std_mean_tensor_dimnamelist_bool_bool(void* self, void* dim, void* unbiased, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_std_mean_tensor_dimnamelist_bool_bool(self, dim, unbiased, keepdim); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_std_mean_tensor_dimnamelist_intt_bool)(void* self, void* dim, void* correction, void* keepdim);
-  HOST_API void* lantern_std_mean_tensor_dimnamelist_intt_bool(void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_std_mean_tensor_dimnamelist_intt_bool(self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_std_mean_tensor_dimnamelist_scalar_bool)(void* self, void* dim, void* correction, void* keepdim);
+  HOST_API void* lantern_std_mean_tensor_dimnamelist_scalar_bool(void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_std_mean_tensor_dimnamelist_scalar_bool(self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_std_out_tensor_tensor_intarrayref_bool_bool)(void* out, void* self, void* dim, void* unbiased, void* keepdim);
   HOST_API void* lantern_std_out_tensor_tensor_intarrayref_bool_bool(void* out, void* self, void* dim, void* unbiased, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_std_out_tensor_tensor_intarrayref_bool_bool(out, self, dim, unbiased, keepdim); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_std_out_tensor_tensor_intarrayref_intt_bool)(void* out, void* self, void* dim, void* correction, void* keepdim);
-  HOST_API void* lantern_std_out_tensor_tensor_intarrayref_intt_bool(void* out, void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_std_out_tensor_tensor_intarrayref_intt_bool(out, self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_std_out_tensor_tensor_intarrayref_scalar_bool)(void* out, void* self, void* dim, void* correction, void* keepdim);
+  HOST_API void* lantern_std_out_tensor_tensor_intarrayref_scalar_bool(void* out, void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_std_out_tensor_tensor_intarrayref_scalar_bool(out, self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_std_tensor_dimnamelist_bool_bool)(void* self, void* dim, void* unbiased, void* keepdim);
   HOST_API void* lantern_std_tensor_dimnamelist_bool_bool(void* self, void* dim, void* unbiased, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_std_tensor_dimnamelist_bool_bool(self, dim, unbiased, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_std_tensor_dimnamelist_bool_bool)(void* self, void* dim, void* unbiased, void* keepdim);
   HOST_API void* lantern_Tensor_std_tensor_dimnamelist_bool_bool(void* self, void* dim, void* unbiased, void* keepdim) { void* ret = _lantern_Tensor_std_tensor_dimnamelist_bool_bool(self, dim, unbiased, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_std_out_tensor_tensor_dimnamelist_bool_bool)(void* out, void* self, void* dim, void* unbiased, void* keepdim);
   HOST_API void* lantern_std_out_tensor_tensor_dimnamelist_bool_bool(void* out, void* self, void* dim, void* unbiased, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_std_out_tensor_tensor_dimnamelist_bool_bool(out, self, dim, unbiased, keepdim); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_std_tensor_dimnamelist_intt_bool)(void* self, void* dim, void* correction, void* keepdim);
-  HOST_API void* lantern_std_tensor_dimnamelist_intt_bool(void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_std_tensor_dimnamelist_intt_bool(self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_Tensor_std_tensor_dimnamelist_intt_bool)(void* self, void* dim, void* correction, void* keepdim);
-  HOST_API void* lantern_Tensor_std_tensor_dimnamelist_intt_bool(void* self, void* dim, void* correction, void* keepdim) { void* ret = _lantern_Tensor_std_tensor_dimnamelist_intt_bool(self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_std_out_tensor_tensor_dimnamelist_intt_bool)(void* out, void* self, void* dim, void* correction, void* keepdim);
-  HOST_API void* lantern_std_out_tensor_tensor_dimnamelist_intt_bool(void* out, void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_std_out_tensor_tensor_dimnamelist_intt_bool(out, self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_std_tensor_dimnamelist_scalar_bool)(void* self, void* dim, void* correction, void* keepdim);
+  HOST_API void* lantern_std_tensor_dimnamelist_scalar_bool(void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_std_tensor_dimnamelist_scalar_bool(self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_Tensor_std_tensor_dimnamelist_scalar_bool)(void* self, void* dim, void* correction, void* keepdim);
+  HOST_API void* lantern_Tensor_std_tensor_dimnamelist_scalar_bool(void* self, void* dim, void* correction, void* keepdim) { void* ret = _lantern_Tensor_std_tensor_dimnamelist_scalar_bool(self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_std_out_tensor_tensor_dimnamelist_scalar_bool)(void* out, void* self, void* dim, void* correction, void* keepdim);
+  HOST_API void* lantern_std_out_tensor_tensor_dimnamelist_scalar_bool(void* out, void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_std_out_tensor_tensor_dimnamelist_scalar_bool(out, self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_prod_tensor_scalartype)(void* self, void* dtype);
   HOST_API void* lantern_prod_tensor_scalartype(void* self, void* dtype) { LANTERN_CHECK_LOADED void* ret = _lantern_prod_tensor_scalartype(self, dtype); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_prod_tensor_scalartype)(void* self, void* dtype);
@@ -5284,14 +5410,36 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_Tensor__nested_tensor_size_tensor(void* self) { void* ret = _lantern_Tensor__nested_tensor_size_tensor(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor__nested_tensor_strides_tensor)(void* self);
   HOST_API void* lantern_Tensor__nested_tensor_strides_tensor(void* self) { void* ret = _lantern_Tensor__nested_tensor_strides_tensor(self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_Tensor__nested_tensor_offsets_tensor)(void* self);
-  HOST_API void* lantern_Tensor__nested_tensor_offsets_tensor(void* self) { void* ret = _lantern_Tensor__nested_tensor_offsets_tensor(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_Tensor__nested_tensor_storage_offsets_tensor)(void* self);
+  HOST_API void* lantern_Tensor__nested_tensor_storage_offsets_tensor(void* self) { void* ret = _lantern_Tensor__nested_tensor_storage_offsets_tensor(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__nested_from_padded_and_nested_example_tensor_tensor)(void* padded, void* nt_example);
   HOST_API void* lantern__nested_from_padded_and_nested_example_tensor_tensor(void* padded, void* nt_example) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_from_padded_and_nested_example_tensor_tensor(padded, nt_example); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__nested_view_from_buffer_tensor_tensor_tensor_intarrayref)(void* self, void* nested_size, void* nested_strides, void* offsets);
-  HOST_API void* lantern__nested_view_from_buffer_tensor_tensor_tensor_intarrayref(void* self, void* nested_size, void* nested_strides, void* offsets) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_view_from_buffer_tensor_tensor_tensor_intarrayref(self, nested_size, nested_strides, offsets); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__nested_view_from_buffer_copy_tensor_tensor_tensor_intarrayref)(void* self, void* nested_size, void* nested_strides, void* offsets);
-  HOST_API void* lantern__nested_view_from_buffer_copy_tensor_tensor_tensor_intarrayref(void* self, void* nested_size, void* nested_strides, void* offsets) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_view_from_buffer_copy_tensor_tensor_tensor_intarrayref(self, nested_size, nested_strides, offsets); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__nested_view_from_buffer_tensor_tensor_tensor_tensor)(void* self, void* nested_size, void* nested_strides, void* offsets);
+  HOST_API void* lantern__nested_view_from_buffer_tensor_tensor_tensor_tensor(void* self, void* nested_size, void* nested_strides, void* offsets) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_view_from_buffer_tensor_tensor_tensor_tensor(self, nested_size, nested_strides, offsets); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__nested_view_from_buffer_copy_tensor_tensor_tensor_tensor)(void* self, void* nested_size, void* nested_strides, void* offsets);
+  HOST_API void* lantern__nested_view_from_buffer_copy_tensor_tensor_tensor_tensor(void* self, void* nested_size, void* nested_strides, void* offsets) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_view_from_buffer_copy_tensor_tensor_tensor_tensor(self, nested_size, nested_strides, offsets); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__nested_view_from_jagged_tensor_tensor_tensor_tensor_intt_tensor_tensor)(void* self, void* offsets, void* dummy, void* lengths, void* ragged_idx, void* min_seqlen, void* max_seqlen);
+  HOST_API void* lantern__nested_view_from_jagged_tensor_tensor_tensor_tensor_intt_tensor_tensor(void* self, void* offsets, void* dummy, void* lengths, void* ragged_idx, void* min_seqlen, void* max_seqlen) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_view_from_jagged_tensor_tensor_tensor_tensor_intt_tensor_tensor(self, offsets, dummy, lengths, ragged_idx, min_seqlen, max_seqlen); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__nested_view_from_jagged_copy_tensor_tensor_tensor_tensor_intt_tensor_tensor)(void* self, void* offsets, void* dummy, void* lengths, void* ragged_idx, void* min_seqlen, void* max_seqlen);
+  HOST_API void* lantern__nested_view_from_jagged_copy_tensor_tensor_tensor_tensor_intt_tensor_tensor(void* self, void* offsets, void* dummy, void* lengths, void* ragged_idx, void* min_seqlen, void* max_seqlen) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_view_from_jagged_copy_tensor_tensor_tensor_tensor_intt_tensor_tensor(self, offsets, dummy, lengths, ragged_idx, min_seqlen, max_seqlen); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__nested_get_values_tensor)(void* self);
+  HOST_API void* lantern__nested_get_values_tensor(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_get_values_tensor(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__nested_get_values_copy_tensor)(void* self);
+  HOST_API void* lantern__nested_get_values_copy_tensor(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_get_values_copy_tensor(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__nested_get_offsets_tensor)(void* self);
+  HOST_API void* lantern__nested_get_offsets_tensor(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_get_offsets_tensor(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__nested_get_lengths_tensor)(void* self);
+  HOST_API void* lantern__nested_get_lengths_tensor(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_get_lengths_tensor(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__nested_get_ragged_idx_tensor)(void* self);
+  HOST_API void* lantern__nested_get_ragged_idx_tensor(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_get_ragged_idx_tensor(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__nested_get_min_seqlen_tensor)(void* self);
+  HOST_API void* lantern__nested_get_min_seqlen_tensor(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_get_min_seqlen_tensor(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__nested_get_max_seqlen_tensor)(void* self);
+  HOST_API void* lantern__nested_get_max_seqlen_tensor(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_get_max_seqlen_tensor(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__nested_get_jagged_dummy_tensor)(void* any);
+  HOST_API void* lantern__nested_get_jagged_dummy_tensor(void* any) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_get_jagged_dummy_tensor(any); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__nested_compute_contiguous_strides_offsets_tensor)(void* nested_size);
+  HOST_API void* lantern__nested_compute_contiguous_strides_offsets_tensor(void* nested_size) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_compute_contiguous_strides_offsets_tensor(nested_size); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__trilinear_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt)(void* i1, void* i2, void* i3, void* expand1, void* expand2, void* expand3, void* sumdim, void* unroll_dim);
   HOST_API void* lantern__trilinear_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt(void* i1, void* i2, void* i3, void* expand1, void* expand2, void* expand3, void* sumdim, void* unroll_dim) { LANTERN_CHECK_LOADED void* ret = _lantern__trilinear_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt(i1, i2, i3, expand1, expand2, expand3, sumdim, unroll_dim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_triplet_margin_loss_tensor_tensor_tensor_double_double_double_bool_intt)(void* anchor, void* positive, void* negative, void* margin, void* p, void* eps, void* swap, void* reduction);
@@ -5348,36 +5496,36 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_var_tensor_intarrayref_bool_bool(void* self, void* dim, void* unbiased, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_var_tensor_intarrayref_bool_bool(self, dim, unbiased, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_var_tensor_intarrayref_bool_bool)(void* self, void* dim, void* unbiased, void* keepdim);
   HOST_API void* lantern_Tensor_var_tensor_intarrayref_bool_bool(void* self, void* dim, void* unbiased, void* keepdim) { void* ret = _lantern_Tensor_var_tensor_intarrayref_bool_bool(self, dim, unbiased, keepdim); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_var_tensor_intarrayref_intt_bool)(void* self, void* dim, void* correction, void* keepdim);
-  HOST_API void* lantern_var_tensor_intarrayref_intt_bool(void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_var_tensor_intarrayref_intt_bool(self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_Tensor_var_tensor_intarrayref_intt_bool)(void* self, void* dim, void* correction, void* keepdim);
-  HOST_API void* lantern_Tensor_var_tensor_intarrayref_intt_bool(void* self, void* dim, void* correction, void* keepdim) { void* ret = _lantern_Tensor_var_tensor_intarrayref_intt_bool(self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_var_tensor_intarrayref_scalar_bool)(void* self, void* dim, void* correction, void* keepdim);
+  HOST_API void* lantern_var_tensor_intarrayref_scalar_bool(void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_var_tensor_intarrayref_scalar_bool(self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_Tensor_var_tensor_intarrayref_scalar_bool)(void* self, void* dim, void* correction, void* keepdim);
+  HOST_API void* lantern_Tensor_var_tensor_intarrayref_scalar_bool(void* self, void* dim, void* correction, void* keepdim) { void* ret = _lantern_Tensor_var_tensor_intarrayref_scalar_bool(self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_var_out_tensor_tensor_intarrayref_bool_bool)(void* out, void* self, void* dim, void* unbiased, void* keepdim);
   HOST_API void* lantern_var_out_tensor_tensor_intarrayref_bool_bool(void* out, void* self, void* dim, void* unbiased, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_var_out_tensor_tensor_intarrayref_bool_bool(out, self, dim, unbiased, keepdim); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_var_out_tensor_tensor_intarrayref_intt_bool)(void* out, void* self, void* dim, void* correction, void* keepdim);
-  HOST_API void* lantern_var_out_tensor_tensor_intarrayref_intt_bool(void* out, void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_var_out_tensor_tensor_intarrayref_intt_bool(out, self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_var_out_tensor_tensor_intarrayref_scalar_bool)(void* out, void* self, void* dim, void* correction, void* keepdim);
+  HOST_API void* lantern_var_out_tensor_tensor_intarrayref_scalar_bool(void* out, void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_var_out_tensor_tensor_intarrayref_scalar_bool(out, self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_var_tensor_dimnamelist_bool_bool)(void* self, void* dim, void* unbiased, void* keepdim);
   HOST_API void* lantern_var_tensor_dimnamelist_bool_bool(void* self, void* dim, void* unbiased, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_var_tensor_dimnamelist_bool_bool(self, dim, unbiased, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_var_tensor_dimnamelist_bool_bool)(void* self, void* dim, void* unbiased, void* keepdim);
   HOST_API void* lantern_Tensor_var_tensor_dimnamelist_bool_bool(void* self, void* dim, void* unbiased, void* keepdim) { void* ret = _lantern_Tensor_var_tensor_dimnamelist_bool_bool(self, dim, unbiased, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_var_out_tensor_tensor_dimnamelist_bool_bool)(void* out, void* self, void* dim, void* unbiased, void* keepdim);
   HOST_API void* lantern_var_out_tensor_tensor_dimnamelist_bool_bool(void* out, void* self, void* dim, void* unbiased, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_var_out_tensor_tensor_dimnamelist_bool_bool(out, self, dim, unbiased, keepdim); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_var_tensor_dimnamelist_intt_bool)(void* self, void* dim, void* correction, void* keepdim);
-  HOST_API void* lantern_var_tensor_dimnamelist_intt_bool(void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_var_tensor_dimnamelist_intt_bool(self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_Tensor_var_tensor_dimnamelist_intt_bool)(void* self, void* dim, void* correction, void* keepdim);
-  HOST_API void* lantern_Tensor_var_tensor_dimnamelist_intt_bool(void* self, void* dim, void* correction, void* keepdim) { void* ret = _lantern_Tensor_var_tensor_dimnamelist_intt_bool(self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_var_out_tensor_tensor_dimnamelist_intt_bool)(void* out, void* self, void* dim, void* correction, void* keepdim);
-  HOST_API void* lantern_var_out_tensor_tensor_dimnamelist_intt_bool(void* out, void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_var_out_tensor_tensor_dimnamelist_intt_bool(out, self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_var_tensor_dimnamelist_scalar_bool)(void* self, void* dim, void* correction, void* keepdim);
+  HOST_API void* lantern_var_tensor_dimnamelist_scalar_bool(void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_var_tensor_dimnamelist_scalar_bool(self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_Tensor_var_tensor_dimnamelist_scalar_bool)(void* self, void* dim, void* correction, void* keepdim);
+  HOST_API void* lantern_Tensor_var_tensor_dimnamelist_scalar_bool(void* self, void* dim, void* correction, void* keepdim) { void* ret = _lantern_Tensor_var_tensor_dimnamelist_scalar_bool(self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_var_out_tensor_tensor_dimnamelist_scalar_bool)(void* out, void* self, void* dim, void* correction, void* keepdim);
+  HOST_API void* lantern_var_out_tensor_tensor_dimnamelist_scalar_bool(void* out, void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_var_out_tensor_tensor_dimnamelist_scalar_bool(out, self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_var_mean_tensor_bool)(void* self, void* unbiased);
   HOST_API void* lantern_var_mean_tensor_bool(void* self, void* unbiased) { LANTERN_CHECK_LOADED void* ret = _lantern_var_mean_tensor_bool(self, unbiased); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_var_mean_tensor_intarrayref_bool_bool)(void* self, void* dim, void* unbiased, void* keepdim);
   HOST_API void* lantern_var_mean_tensor_intarrayref_bool_bool(void* self, void* dim, void* unbiased, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_var_mean_tensor_intarrayref_bool_bool(self, dim, unbiased, keepdim); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_var_mean_tensor_intarrayref_intt_bool)(void* self, void* dim, void* correction, void* keepdim);
-  HOST_API void* lantern_var_mean_tensor_intarrayref_intt_bool(void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_var_mean_tensor_intarrayref_intt_bool(self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_var_mean_tensor_intarrayref_scalar_bool)(void* self, void* dim, void* correction, void* keepdim);
+  HOST_API void* lantern_var_mean_tensor_intarrayref_scalar_bool(void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_var_mean_tensor_intarrayref_scalar_bool(self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_var_mean_tensor_dimnamelist_bool_bool)(void* self, void* dim, void* unbiased, void* keepdim);
   HOST_API void* lantern_var_mean_tensor_dimnamelist_bool_bool(void* self, void* dim, void* unbiased, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_var_mean_tensor_dimnamelist_bool_bool(self, dim, unbiased, keepdim); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_var_mean_tensor_dimnamelist_intt_bool)(void* self, void* dim, void* correction, void* keepdim);
-  HOST_API void* lantern_var_mean_tensor_dimnamelist_intt_bool(void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_var_mean_tensor_dimnamelist_intt_bool(self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_var_mean_tensor_dimnamelist_scalar_bool)(void* self, void* dim, void* correction, void* keepdim);
+  HOST_API void* lantern_var_mean_tensor_dimnamelist_scalar_bool(void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_var_mean_tensor_dimnamelist_scalar_bool(self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_view_as_tensor_tensor)(void* self, void* other);
   HOST_API void* lantern_Tensor_view_as_tensor_tensor(void* self, void* other) { void* ret = _lantern_Tensor_view_as_tensor_tensor(self, other); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_where_tensor_tensor_tensor)(void* condition, void* self, void* other);
@@ -5432,6 +5580,14 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_native_norm_tensor_scalar(void* self, void* p) { LANTERN_CHECK_LOADED void* ret = _lantern_native_norm_tensor_scalar(self, p); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_native_norm_tensor_scalar_intarrayref_bool_scalartype)(void* self, void* p, void* dim, void* keepdim, void* dtype);
   HOST_API void* lantern_native_norm_tensor_scalar_intarrayref_bool_scalartype(void* self, void* p, void* dim, void* keepdim, void* dtype) { LANTERN_CHECK_LOADED void* ret = _lantern_native_norm_tensor_scalar_intarrayref_bool_scalartype(self, p, dim, keepdim, dtype); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__batch_norm_with_update_tensor_tensor_tensor_tensor_tensor_double_double)(void* input, void* weight, void* bias, void* running_mean, void* running_var, void* momentum, void* eps);
+  HOST_API void* lantern__batch_norm_with_update_tensor_tensor_tensor_tensor_tensor_double_double(void* input, void* weight, void* bias, void* running_mean, void* running_var, void* momentum, void* eps) { LANTERN_CHECK_LOADED void* ret = _lantern__batch_norm_with_update_tensor_tensor_tensor_tensor_tensor_double_double(input, weight, bias, running_mean, running_var, momentum, eps); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__batch_norm_with_update_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_double)(void* out, void* save_mean, void* save_invstd, void* reserve, void* input, void* weight, void* bias, void* running_mean, void* running_var, void* momentum, void* eps);
+  HOST_API void* lantern__batch_norm_with_update_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_double(void* out, void* save_mean, void* save_invstd, void* reserve, void* input, void* weight, void* bias, void* running_mean, void* running_var, void* momentum, void* eps) { LANTERN_CHECK_LOADED void* ret = _lantern__batch_norm_with_update_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_double(out, save_mean, save_invstd, reserve, input, weight, bias, running_mean, running_var, momentum, eps); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__batch_norm_no_update_tensor_tensor_tensor_tensor_tensor_double_double)(void* input, void* weight, void* bias, void* running_mean, void* running_var, void* momentum, void* eps);
+  HOST_API void* lantern__batch_norm_no_update_tensor_tensor_tensor_tensor_tensor_double_double(void* input, void* weight, void* bias, void* running_mean, void* running_var, void* momentum, void* eps) { LANTERN_CHECK_LOADED void* ret = _lantern__batch_norm_no_update_tensor_tensor_tensor_tensor_tensor_double_double(input, weight, bias, running_mean, running_var, momentum, eps); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_batch_norm_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_double_stdarraybool_tensor)(void* grad_out, void* input, void* weight, void* running_mean, void* running_var, void* save_mean, void* save_var, void* update, void* eps, void* output_mask, void* reserve);
+  HOST_API void* lantern_batch_norm_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_double_stdarraybool_tensor(void* grad_out, void* input, void* weight, void* running_mean, void* running_var, void* save_mean, void* save_var, void* update, void* eps, void* output_mask, void* reserve) { LANTERN_CHECK_LOADED void* ret = _lantern_batch_norm_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_double_stdarraybool_tensor(grad_out, input, weight, running_mean, running_var, save_mean, save_var, update, eps, output_mask, reserve); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__sparse_sum_tensor)(void* self);
   HOST_API void* lantern__sparse_sum_tensor(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__sparse_sum_tensor(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__sparse_sum_tensor_scalartype)(void* self, void* dtype);
@@ -5598,6 +5754,12 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern__addmm_activation_tensor_tensor_tensor_scalar_scalar_bool(void* self, void* mat1, void* mat2, void* beta, void* alpha, void* use_gelu) { LANTERN_CHECK_LOADED void* ret = _lantern__addmm_activation_tensor_tensor_tensor_scalar_scalar_bool(self, mat1, mat2, beta, alpha, use_gelu); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor__addmm_activation_tensor_tensor_tensor_scalar_scalar_bool)(void* self, void* mat1, void* mat2, void* beta, void* alpha, void* use_gelu);
   HOST_API void* lantern_Tensor__addmm_activation_tensor_tensor_tensor_scalar_scalar_bool(void* self, void* mat1, void* mat2, void* beta, void* alpha, void* use_gelu) { void* ret = _lantern_Tensor__addmm_activation_tensor_tensor_tensor_scalar_scalar_bool(self, mat1, mat2, beta, alpha, use_gelu); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__scaled_mm_tensor_tensor_tensor_tensor_tensor_tensor_scalartype_bool)(void* self, void* mat2, void* scale_a, void* scale_b, void* bias, void* scale_result, void* out_dtype, void* use_fast_accum);
+  HOST_API void* lantern__scaled_mm_tensor_tensor_tensor_tensor_tensor_tensor_scalartype_bool(void* self, void* mat2, void* scale_a, void* scale_b, void* bias, void* scale_result, void* out_dtype, void* use_fast_accum) { LANTERN_CHECK_LOADED void* ret = _lantern__scaled_mm_tensor_tensor_tensor_tensor_tensor_tensor_scalartype_bool(self, mat2, scale_a, scale_b, bias, scale_result, out_dtype, use_fast_accum); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__scaled_mm_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_scalartype_bool)(void* out, void* self, void* mat2, void* scale_a, void* scale_b, void* bias, void* scale_result, void* out_dtype, void* use_fast_accum);
+  HOST_API void* lantern__scaled_mm_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_scalartype_bool(void* out, void* self, void* mat2, void* scale_a, void* scale_b, void* bias, void* scale_result, void* out_dtype, void* use_fast_accum) { LANTERN_CHECK_LOADED void* ret = _lantern__scaled_mm_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_scalartype_bool(out, self, mat2, scale_a, scale_b, bias, scale_result, out_dtype, use_fast_accum); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__sparse_compressed_tensor_with_dims_intt_intt_intarrayref_intarrayref_scalartype_tensoroptions)(void* nnz, void* dense_dim, void* size, void* blocksize, void* index_dtype, void* options);
+  HOST_API void* lantern__sparse_compressed_tensor_with_dims_intt_intt_intarrayref_intarrayref_scalartype_tensoroptions(void* nnz, void* dense_dim, void* size, void* blocksize, void* index_dtype, void* options) { LANTERN_CHECK_LOADED void* ret = _lantern__sparse_compressed_tensor_with_dims_intt_intt_intarrayref_intarrayref_scalartype_tensoroptions(nnz, dense_dim, size, blocksize, index_dtype, options); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_sparse_compressed_tensor_tensor_tensor_tensor_intarrayref_tensoroptions)(void* compressed_indices, void* plain_indices, void* values, void* size, void* options);
   HOST_API void* lantern_sparse_compressed_tensor_tensor_tensor_tensor_intarrayref_tensoroptions(void* compressed_indices, void* plain_indices, void* values, void* size, void* options) { LANTERN_CHECK_LOADED void* ret = _lantern_sparse_compressed_tensor_tensor_tensor_tensor_intarrayref_tensoroptions(compressed_indices, plain_indices, values, size, options); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_sparse_csr_tensor_tensor_tensor_tensor_intarrayref_tensoroptions)(void* crow_indices, void* col_indices, void* values, void* size, void* options);
@@ -5630,14 +5792,14 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern__sparse_bsc_tensor_unsafe_tensor_tensor_tensor_intarrayref_tensoroptions(void* ccol_indices, void* row_indices, void* values, void* size, void* options) { LANTERN_CHECK_LOADED void* ret = _lantern__sparse_bsc_tensor_unsafe_tensor_tensor_tensor_intarrayref_tensoroptions(ccol_indices, row_indices, values, size, options); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_sparse_coo_tensor_intarrayref_tensoroptions)(void* size, void* options);
   HOST_API void* lantern_sparse_coo_tensor_intarrayref_tensoroptions(void* size, void* options) { LANTERN_CHECK_LOADED void* ret = _lantern_sparse_coo_tensor_intarrayref_tensoroptions(size, options); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_sparse_coo_tensor_tensor_tensor_tensoroptions)(void* indices, void* values, void* options);
-  HOST_API void* lantern_sparse_coo_tensor_tensor_tensor_tensoroptions(void* indices, void* values, void* options) { LANTERN_CHECK_LOADED void* ret = _lantern_sparse_coo_tensor_tensor_tensor_tensoroptions(indices, values, options); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_sparse_coo_tensor_tensor_tensor_intarrayref_tensoroptions)(void* indices, void* values, void* size, void* options);
-  HOST_API void* lantern_sparse_coo_tensor_tensor_tensor_intarrayref_tensoroptions(void* indices, void* values, void* size, void* options) { LANTERN_CHECK_LOADED void* ret = _lantern_sparse_coo_tensor_tensor_tensor_intarrayref_tensoroptions(indices, values, size, options); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__sparse_coo_tensor_unsafe_tensor_tensor_intarrayref_tensoroptions)(void* indices, void* values, void* size, void* options);
-  HOST_API void* lantern__sparse_coo_tensor_unsafe_tensor_tensor_intarrayref_tensoroptions(void* indices, void* values, void* size, void* options) { LANTERN_CHECK_LOADED void* ret = _lantern__sparse_coo_tensor_unsafe_tensor_tensor_intarrayref_tensoroptions(indices, values, size, options); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__validate_sparse_coo_tensor_args_tensor_tensor_intarrayref)(void* indices, void* values, void* size);
-  HOST_API void* lantern__validate_sparse_coo_tensor_args_tensor_tensor_intarrayref(void* indices, void* values, void* size) { LANTERN_CHECK_LOADED void* ret = _lantern__validate_sparse_coo_tensor_args_tensor_tensor_intarrayref(indices, values, size); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_sparse_coo_tensor_tensor_tensor_tensoroptions_bool)(void* indices, void* values, void* options, void* is_coalesced);
+  HOST_API void* lantern_sparse_coo_tensor_tensor_tensor_tensoroptions_bool(void* indices, void* values, void* options, void* is_coalesced) { LANTERN_CHECK_LOADED void* ret = _lantern_sparse_coo_tensor_tensor_tensor_tensoroptions_bool(indices, values, options, is_coalesced); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_sparse_coo_tensor_tensor_tensor_intarrayref_tensoroptions_bool)(void* indices, void* values, void* size, void* options, void* is_coalesced);
+  HOST_API void* lantern_sparse_coo_tensor_tensor_tensor_intarrayref_tensoroptions_bool(void* indices, void* values, void* size, void* options, void* is_coalesced) { LANTERN_CHECK_LOADED void* ret = _lantern_sparse_coo_tensor_tensor_tensor_intarrayref_tensoroptions_bool(indices, values, size, options, is_coalesced); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__sparse_coo_tensor_unsafe_tensor_tensor_intarrayref_tensoroptions_bool)(void* indices, void* values, void* size, void* options, void* is_coalesced);
+  HOST_API void* lantern__sparse_coo_tensor_unsafe_tensor_tensor_intarrayref_tensoroptions_bool(void* indices, void* values, void* size, void* options, void* is_coalesced) { LANTERN_CHECK_LOADED void* ret = _lantern__sparse_coo_tensor_unsafe_tensor_tensor_intarrayref_tensoroptions_bool(indices, values, size, options, is_coalesced); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__validate_sparse_coo_tensor_args_tensor_tensor_intarrayref_bool)(void* indices, void* values, void* size, void* is_coalesced);
+  HOST_API void* lantern__validate_sparse_coo_tensor_args_tensor_tensor_intarrayref_bool(void* indices, void* values, void* size, void* is_coalesced) { LANTERN_CHECK_LOADED void* ret = _lantern__validate_sparse_coo_tensor_args_tensor_tensor_intarrayref_bool(indices, values, size, is_coalesced); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__validate_sparse_compressed_tensor_args_tensor_tensor_tensor_intarrayref_layout)(void* compressed_indices, void* plain_indices, void* values, void* size, void* layout);
   HOST_API void* lantern__validate_sparse_compressed_tensor_args_tensor_tensor_tensor_intarrayref_layout(void* compressed_indices, void* plain_indices, void* values, void* size, void* layout) { LANTERN_CHECK_LOADED void* ret = _lantern__validate_sparse_compressed_tensor_args_tensor_tensor_tensor_intarrayref_layout(compressed_indices, plain_indices, values, size, layout); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__validate_sparse_csr_tensor_args_tensor_tensor_tensor_intarrayref)(void* crow_indices, void* col_indices, void* values, void* size);
@@ -5650,22 +5812,24 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern__validate_sparse_bsc_tensor_args_tensor_tensor_tensor_intarrayref(void* ccol_indices, void* row_indices, void* values, void* size) { LANTERN_CHECK_LOADED void* ret = _lantern__validate_sparse_bsc_tensor_args_tensor_tensor_tensor_intarrayref(ccol_indices, row_indices, values, size); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__sparse_coo_tensor_with_dims_intt_intt_intarrayref_tensoroptions)(void* sparse_dim, void* dense_dim, void* size, void* options);
   HOST_API void* lantern__sparse_coo_tensor_with_dims_intt_intt_intarrayref_tensoroptions(void* sparse_dim, void* dense_dim, void* size, void* options) { LANTERN_CHECK_LOADED void* ret = _lantern__sparse_coo_tensor_with_dims_intt_intt_intarrayref_tensoroptions(sparse_dim, dense_dim, size, options); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__sparse_coo_tensor_with_dims_and_tensors_intt_intt_intarrayref_tensor_tensor_tensoroptions)(void* sparse_dim, void* dense_dim, void* size, void* indices, void* values, void* options);
-  HOST_API void* lantern__sparse_coo_tensor_with_dims_and_tensors_intt_intt_intarrayref_tensor_tensor_tensoroptions(void* sparse_dim, void* dense_dim, void* size, void* indices, void* values, void* options) { LANTERN_CHECK_LOADED void* ret = _lantern__sparse_coo_tensor_with_dims_and_tensors_intt_intt_intarrayref_tensor_tensor_tensoroptions(sparse_dim, dense_dim, size, indices, values, options); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__sparse_coo_tensor_with_dims_and_tensors_intt_intt_intarrayref_tensor_tensor_tensoroptions_bool)(void* sparse_dim, void* dense_dim, void* size, void* indices, void* values, void* options, void* is_coalesced);
+  HOST_API void* lantern__sparse_coo_tensor_with_dims_and_tensors_intt_intt_intarrayref_tensor_tensor_tensoroptions_bool(void* sparse_dim, void* dense_dim, void* size, void* indices, void* values, void* options, void* is_coalesced) { LANTERN_CHECK_LOADED void* ret = _lantern__sparse_coo_tensor_with_dims_and_tensors_intt_intt_intarrayref_tensor_tensor_tensoroptions_bool(sparse_dim, dense_dim, size, indices, values, options, is_coalesced); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_sparse_resize__tensor_intarrayref_intt_intt)(void* self, void* size, void* sparse_dim, void* dense_dim);
   HOST_API void* lantern_Tensor_sparse_resize__tensor_intarrayref_intt_intt(void* self, void* size, void* sparse_dim, void* dense_dim) { void* ret = _lantern_Tensor_sparse_resize__tensor_intarrayref_intt_intt(self, size, sparse_dim, dense_dim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_sparse_resize_and_clear__tensor_intarrayref_intt_intt)(void* self, void* size, void* sparse_dim, void* dense_dim);
   HOST_API void* lantern_Tensor_sparse_resize_and_clear__tensor_intarrayref_intt_intt(void* self, void* size, void* sparse_dim, void* dense_dim) { void* ret = _lantern_Tensor_sparse_resize_and_clear__tensor_intarrayref_intt_intt(self, size, sparse_dim, dense_dim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_sparse_mask_tensor_tensor)(void* self, void* mask);
   HOST_API void* lantern_Tensor_sparse_mask_tensor_tensor(void* self, void* mask) { void* ret = _lantern_Tensor_sparse_mask_tensor_tensor(self, mask); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_Tensor__sparse_mask_projection_tensor_tensor_bool)(void* self, void* mask, void* accumulate_matches);
+  HOST_API void* lantern_Tensor__sparse_mask_projection_tensor_tensor_bool(void* self, void* mask, void* accumulate_matches) { void* ret = _lantern_Tensor__sparse_mask_projection_tensor_tensor_bool(self, mask, accumulate_matches); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__to_cpu_tensorlist)(void* tensors);
   HOST_API void* lantern__to_cpu_tensorlist(void* tensors) { LANTERN_CHECK_LOADED void* ret = _lantern__to_cpu_tensorlist(tensors); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_Tensor_to_dense_tensor_scalartype)(void* self, void* dtype);
-  HOST_API void* lantern_Tensor_to_dense_tensor_scalartype(void* self, void* dtype) { void* ret = _lantern_Tensor_to_dense_tensor_scalartype(self, dtype); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_Tensor__to_dense_tensor_scalartype)(void* self, void* dtype);
-  HOST_API void* lantern_Tensor__to_dense_tensor_scalartype(void* self, void* dtype) { void* ret = _lantern_Tensor__to_dense_tensor_scalartype(self, dtype); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_to_dense_backward_tensor_tensor)(void* grad, void* input);
-  HOST_API void* lantern_to_dense_backward_tensor_tensor(void* grad, void* input) { LANTERN_CHECK_LOADED void* ret = _lantern_to_dense_backward_tensor_tensor(grad, input); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_Tensor_to_dense_tensor_scalartype_bool)(void* self, void* dtype, void* masked_grad);
+  HOST_API void* lantern_Tensor_to_dense_tensor_scalartype_bool(void* self, void* dtype, void* masked_grad) { void* ret = _lantern_Tensor_to_dense_tensor_scalartype_bool(self, dtype, masked_grad); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_Tensor__to_dense_tensor_scalartype_bool)(void* self, void* dtype, void* masked_grad);
+  HOST_API void* lantern_Tensor__to_dense_tensor_scalartype_bool(void* self, void* dtype, void* masked_grad) { void* ret = _lantern_Tensor__to_dense_tensor_scalartype_bool(self, dtype, masked_grad); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_to_dense_backward_tensor_tensor_bool)(void* grad, void* input, void* masked_grad);
+  HOST_API void* lantern_to_dense_backward_tensor_tensor_bool(void* grad, void* input, void* masked_grad) { LANTERN_CHECK_LOADED void* ret = _lantern_to_dense_backward_tensor_tensor_bool(grad, input, masked_grad); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_sparse_dim_tensor)(void* self);
   HOST_API void* lantern_Tensor_sparse_dim_tensor(void* self) { void* ret = _lantern_Tensor_sparse_dim_tensor(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor__dimi_tensor)(void* self);
@@ -5716,22 +5880,36 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_Tensor_unbind_tensor_dimname(void* self, void* dim) { void* ret = _lantern_Tensor_unbind_tensor_dimname(self, dim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_to_sparse_tensor_intt)(void* self, void* sparse_dim);
   HOST_API void* lantern_Tensor_to_sparse_tensor_intt(void* self, void* sparse_dim) { void* ret = _lantern_Tensor_to_sparse_tensor_intt(self, sparse_dim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_Tensor__to_sparse_tensor_intt)(void* self, void* sparse_dim);
+  HOST_API void* lantern_Tensor__to_sparse_tensor_intt(void* self, void* sparse_dim) { void* ret = _lantern_Tensor__to_sparse_tensor_intt(self, sparse_dim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_to_sparse_tensor_layout_intarrayref_intt)(void* self, void* layout, void* blocksize, void* dense_dim);
   HOST_API void* lantern_Tensor_to_sparse_tensor_layout_intarrayref_intt(void* self, void* layout, void* blocksize, void* dense_dim) { void* ret = _lantern_Tensor_to_sparse_tensor_layout_intarrayref_intt(self, layout, blocksize, dense_dim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_Tensor__to_sparse_tensor_layout_intarrayref_intt)(void* self, void* layout, void* blocksize, void* dense_dim);
+  HOST_API void* lantern_Tensor__to_sparse_tensor_layout_intarrayref_intt(void* self, void* layout, void* blocksize, void* dense_dim) { void* ret = _lantern_Tensor__to_sparse_tensor_layout_intarrayref_intt(self, layout, blocksize, dense_dim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_to_sparse_csr_tensor_intt)(void* self, void* dense_dim);
   HOST_API void* lantern_Tensor_to_sparse_csr_tensor_intt(void* self, void* dense_dim) { void* ret = _lantern_Tensor_to_sparse_csr_tensor_intt(self, dense_dim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_Tensor__to_sparse_csr_tensor_intt)(void* self, void* dense_dim);
+  HOST_API void* lantern_Tensor__to_sparse_csr_tensor_intt(void* self, void* dense_dim) { void* ret = _lantern_Tensor__to_sparse_csr_tensor_intt(self, dense_dim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_to_sparse_csc_tensor_intt)(void* self, void* dense_dim);
   HOST_API void* lantern_Tensor_to_sparse_csc_tensor_intt(void* self, void* dense_dim) { void* ret = _lantern_Tensor_to_sparse_csc_tensor_intt(self, dense_dim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_Tensor__to_sparse_csc_tensor_intt)(void* self, void* dense_dim);
+  HOST_API void* lantern_Tensor__to_sparse_csc_tensor_intt(void* self, void* dense_dim) { void* ret = _lantern_Tensor__to_sparse_csc_tensor_intt(self, dense_dim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_to_sparse_bsr_tensor_intarrayref_intt)(void* self, void* blocksize, void* dense_dim);
   HOST_API void* lantern_Tensor_to_sparse_bsr_tensor_intarrayref_intt(void* self, void* blocksize, void* dense_dim) { void* ret = _lantern_Tensor_to_sparse_bsr_tensor_intarrayref_intt(self, blocksize, dense_dim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_Tensor__to_sparse_bsr_tensor_intarrayref_intt)(void* self, void* blocksize, void* dense_dim);
+  HOST_API void* lantern_Tensor__to_sparse_bsr_tensor_intarrayref_intt(void* self, void* blocksize, void* dense_dim) { void* ret = _lantern_Tensor__to_sparse_bsr_tensor_intarrayref_intt(self, blocksize, dense_dim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_to_sparse_bsc_tensor_intarrayref_intt)(void* self, void* blocksize, void* dense_dim);
   HOST_API void* lantern_Tensor_to_sparse_bsc_tensor_intarrayref_intt(void* self, void* blocksize, void* dense_dim) { void* ret = _lantern_Tensor_to_sparse_bsc_tensor_intarrayref_intt(self, blocksize, dense_dim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_Tensor__to_sparse_bsc_tensor_intarrayref_intt)(void* self, void* blocksize, void* dense_dim);
+  HOST_API void* lantern_Tensor__to_sparse_bsc_tensor_intarrayref_intt(void* self, void* blocksize, void* dense_dim) { void* ret = _lantern_Tensor__to_sparse_bsc_tensor_intarrayref_intt(self, blocksize, dense_dim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__to_sparse_semi_structured_tensor)(void* dense);
+  HOST_API void* lantern__to_sparse_semi_structured_tensor(void* dense) { LANTERN_CHECK_LOADED void* ret = _lantern__to_sparse_semi_structured_tensor(dense); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_to_mkldnn_tensor_scalartype)(void* self, void* dtype);
   HOST_API void* lantern_Tensor_to_mkldnn_tensor_scalartype(void* self, void* dtype) { void* ret = _lantern_Tensor_to_mkldnn_tensor_scalartype(self, dtype); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_mkldnn_reorder_conv2d_weight_tensor_intarrayref_intarrayref_intarrayref_intt_intarrayref)(void* self, void* padding, void* stride, void* dilation, void* groups, void* input_size);
   HOST_API void* lantern_mkldnn_reorder_conv2d_weight_tensor_intarrayref_intarrayref_intarrayref_intt_intarrayref(void* self, void* padding, void* stride, void* dilation, void* groups, void* input_size) { LANTERN_CHECK_LOADED void* ret = _lantern_mkldnn_reorder_conv2d_weight_tensor_intarrayref_intarrayref_intarrayref_intt_intarrayref(self, padding, stride, dilation, groups, input_size); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_mkldnn_reorder_conv3d_weight_tensor_intarrayref_intarrayref_intarrayref_intt)(void* self, void* padding, void* stride, void* dilation, void* groups);
-  HOST_API void* lantern_mkldnn_reorder_conv3d_weight_tensor_intarrayref_intarrayref_intarrayref_intt(void* self, void* padding, void* stride, void* dilation, void* groups) { LANTERN_CHECK_LOADED void* ret = _lantern_mkldnn_reorder_conv3d_weight_tensor_intarrayref_intarrayref_intarrayref_intt(self, padding, stride, dilation, groups); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_mkldnn_reorder_conv3d_weight_tensor_intarrayref_intarrayref_intarrayref_intt_intarrayref)(void* self, void* padding, void* stride, void* dilation, void* groups, void* input_size);
+  HOST_API void* lantern_mkldnn_reorder_conv3d_weight_tensor_intarrayref_intarrayref_intarrayref_intt_intarrayref(void* self, void* padding, void* stride, void* dilation, void* groups, void* input_size) { LANTERN_CHECK_LOADED void* ret = _lantern_mkldnn_reorder_conv3d_weight_tensor_intarrayref_intarrayref_intarrayref_intt_intarrayref(self, padding, stride, dilation, groups, input_size); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_to_mkldnn_backward_tensor_tensor)(void* grad, void* input);
   HOST_API void* lantern_to_mkldnn_backward_tensor_tensor(void* grad, void* input) { LANTERN_CHECK_LOADED void* ret = _lantern_to_mkldnn_backward_tensor_tensor(grad, input); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_quantize_per_tensor_dynamic_tensor_scalartype_bool)(void* self, void* dtype, void* reduce_range);
@@ -5846,8 +6024,8 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_result_type_scalar_tensor(void* scalar, void* tensor) { LANTERN_CHECK_LOADED void* ret = _lantern_result_type_scalar_tensor(scalar, tensor); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_result_type_scalar_scalar)(void* scalar1, void* scalar2);
   HOST_API void* lantern_result_type_scalar_scalar(void* scalar1, void* scalar2) { LANTERN_CHECK_LOADED void* ret = _lantern_result_type_scalar_scalar(scalar1, scalar2); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_can_cast_scalartype_scalartype)(void* from, void* to);
-  HOST_API void* lantern_can_cast_scalartype_scalartype(void* from, void* to) { LANTERN_CHECK_LOADED void* ret = _lantern_can_cast_scalartype_scalartype(from, to); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_can_cast_scalartype_scalartype)(void* from_, void* to);
+  HOST_API void* lantern_can_cast_scalartype_scalartype(void* from_, void* to) { LANTERN_CHECK_LOADED void* ret = _lantern_can_cast_scalartype_scalartype(from_, to); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_promote_types_scalartype_scalartype)(void* type1, void* type2);
   HOST_API void* lantern_promote_types_scalartype_scalartype(void* type1, void* type2) { LANTERN_CHECK_LOADED void* ret = _lantern_promote_types_scalartype_scalartype(type1, type2); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__local_scalar_dense_tensor)(void* self);
@@ -5944,6 +6122,8 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_masked_scatter_tensor_tensor_tensor(void* self, void* mask, void* source) { LANTERN_CHECK_LOADED void* ret = _lantern_masked_scatter_tensor_tensor_tensor(self, mask, source); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_masked_scatter_tensor_tensor_tensor)(void* self, void* mask, void* source);
   HOST_API void* lantern_Tensor_masked_scatter_tensor_tensor_tensor(void* self, void* mask, void* source) { void* ret = _lantern_Tensor_masked_scatter_tensor_tensor_tensor(self, mask, source); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_masked_scatter_backward_tensor_tensor_intarrayref)(void* grad_output, void* mask, void* sizes);
+  HOST_API void* lantern_masked_scatter_backward_tensor_tensor_intarrayref(void* grad_output, void* mask, void* sizes) { LANTERN_CHECK_LOADED void* ret = _lantern_masked_scatter_backward_tensor_tensor_intarrayref(grad_output, mask, sizes); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__masked_softmax_tensor_tensor_intt_intt)(void* self, void* mask, void* dim, void* mask_type);
   HOST_API void* lantern__masked_softmax_tensor_tensor_intt_intt(void* self, void* mask, void* dim, void* mask_type) { LANTERN_CHECK_LOADED void* ret = _lantern__masked_softmax_tensor_tensor_intt_intt(self, mask, dim, mask_type); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__masked_softmax_backward_tensor_tensor_tensor_intt)(void* grad_output, void* output, void* mask, void* dim);
@@ -6496,6 +6676,12 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_nonzero_tensor(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern_nonzero_tensor(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_nonzero_tensor)(void* self);
   HOST_API void* lantern_Tensor_nonzero_tensor(void* self) { void* ret = _lantern_Tensor_nonzero_tensor(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_nonzero_static_out_tensor_tensor_intt_intt)(void* out, void* self, void* size, void* fill_value);
+  HOST_API void* lantern_nonzero_static_out_tensor_tensor_intt_intt(void* out, void* self, void* size, void* fill_value) { LANTERN_CHECK_LOADED void* ret = _lantern_nonzero_static_out_tensor_tensor_intt_intt(out, self, size, fill_value); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_nonzero_static_tensor_intt_intt)(void* self, void* size, void* fill_value);
+  HOST_API void* lantern_nonzero_static_tensor_intt_intt(void* self, void* size, void* fill_value) { LANTERN_CHECK_LOADED void* ret = _lantern_nonzero_static_tensor_intt_intt(self, size, fill_value); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_Tensor_nonzero_static_tensor_intt_intt)(void* self, void* size, void* fill_value);
+  HOST_API void* lantern_Tensor_nonzero_static_tensor_intt_intt(void* self, void* size, void* fill_value) { void* ret = _lantern_Tensor_nonzero_static_tensor_intt_intt(self, size, fill_value); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_nonzero_numpy_tensor)(void* self);
   HOST_API void* lantern_nonzero_numpy_tensor(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern_nonzero_numpy_tensor(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_nonzero_numpy_tensor)(void* self);
@@ -6814,6 +7000,8 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_min_tensor(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern_min_tensor(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_min_tensor)(void* self);
   HOST_API void* lantern_Tensor_min_tensor(void* self) { void* ret = _lantern_Tensor_min_tensor(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_min_out_tensor_tensor)(void* out, void* self);
+  HOST_API void* lantern_min_out_tensor_tensor(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern_min_out_tensor_tensor(out, self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_fmin_tensor_tensor)(void* self, void* other);
   HOST_API void* lantern_fmin_tensor_tensor(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern_fmin_tensor_tensor(self, other); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_fmin_tensor_tensor)(void* self, void* other);
@@ -6918,6 +7106,8 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_argsort_tensor_bool_intt_bool(void* self, void* stable, void* dim, void* descending) { LANTERN_CHECK_LOADED void* ret = _lantern_argsort_tensor_bool_intt_bool(self, stable, dim, descending); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_argsort_tensor_bool_intt_bool)(void* self, void* stable, void* dim, void* descending);
   HOST_API void* lantern_Tensor_argsort_tensor_bool_intt_bool(void* self, void* stable, void* dim, void* descending) { void* ret = _lantern_Tensor_argsort_tensor_bool_intt_bool(self, stable, dim, descending); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_argsort_out_tensor_tensor_bool_intt_bool)(void* out, void* self, void* stable, void* dim, void* descending);
+  HOST_API void* lantern_argsort_out_tensor_tensor_bool_intt_bool(void* out, void* self, void* stable, void* dim, void* descending) { LANTERN_CHECK_LOADED void* ret = _lantern_argsort_out_tensor_tensor_bool_intt_bool(out, self, stable, dim, descending); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_argsort_tensor_dimname_bool)(void* self, void* dim, void* descending);
   HOST_API void* lantern_argsort_tensor_dimname_bool(void* self, void* dim, void* descending) { LANTERN_CHECK_LOADED void* ret = _lantern_argsort_tensor_dimname_bool(self, dim, descending); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_argsort_tensor_dimname_bool)(void* self, void* dim, void* descending);
@@ -7020,108 +7210,134 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern__foreach_add_tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_add_tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_add__tensorlist_scalar)(void* self, void* scalar);
   HOST_API void* lantern__foreach_add__tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_add__tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sub_tensorlist_scalar)(void* self, void* scalar);
-  HOST_API void* lantern__foreach_sub_tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sub_tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sub__tensorlist_scalar)(void* self, void* scalar);
-  HOST_API void* lantern__foreach_sub__tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sub__tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_mul_tensorlist_scalar)(void* self, void* scalar);
-  HOST_API void* lantern__foreach_mul_tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_mul_tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_mul__tensorlist_scalar)(void* self, void* scalar);
-  HOST_API void* lantern__foreach_mul__tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_mul__tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_div_tensorlist_scalar)(void* self, void* scalar);
-  HOST_API void* lantern__foreach_div_tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_div_tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_div__tensorlist_scalar)(void* self, void* scalar);
-  HOST_API void* lantern__foreach_div__tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_div__tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_min_tensorlist_scalar)(void* self, void* scalar);
-  HOST_API void* lantern__foreach_clamp_min_tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_min_tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_min__tensorlist_scalar)(void* self, void* scalar);
-  HOST_API void* lantern__foreach_clamp_min__tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_min__tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_max_tensorlist_scalar)(void* self, void* scalar);
-  HOST_API void* lantern__foreach_clamp_max_tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_max_tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_max__tensorlist_scalar)(void* self, void* scalar);
-  HOST_API void* lantern__foreach_clamp_max__tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_max__tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_maximum_tensorlist_scalar)(void* self, void* scalar);
-  HOST_API void* lantern__foreach_maximum_tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_maximum_tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_maximum__tensorlist_scalar)(void* self, void* scalar);
-  HOST_API void* lantern__foreach_maximum__tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_maximum__tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_minimum_tensorlist_scalar)(void* self, void* scalar);
-  HOST_API void* lantern__foreach_minimum_tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_minimum_tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_minimum__tensorlist_scalar)(void* self, void* scalar);
-  HOST_API void* lantern__foreach_minimum__tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_minimum__tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_add_tensorlist_tensorlist_scalar)(void* self, void* other, void* alpha);
   HOST_API void* lantern__foreach_add_tensorlist_tensorlist_scalar(void* self, void* other, void* alpha) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_add_tensorlist_tensorlist_scalar(self, other, alpha); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_add__tensorlist_tensorlist_scalar)(void* self, void* other, void* alpha);
   HOST_API void* lantern__foreach_add__tensorlist_tensorlist_scalar(void* self, void* other, void* alpha) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_add__tensorlist_tensorlist_scalar(self, other, alpha); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_add_tensorlist_arrayrefscalar)(void* self, void* scalars);
+  HOST_API void* lantern__foreach_add_tensorlist_arrayrefscalar(void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_add_tensorlist_arrayrefscalar(self, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_add__tensorlist_arrayrefscalar)(void* self, void* scalars);
+  HOST_API void* lantern__foreach_add__tensorlist_arrayrefscalar(void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_add__tensorlist_arrayrefscalar(self, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_add_tensorlist_tensor_scalar)(void* self, void* other, void* alpha);
+  HOST_API void* lantern__foreach_add_tensorlist_tensor_scalar(void* self, void* other, void* alpha) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_add_tensorlist_tensor_scalar(self, other, alpha); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_add__tensorlist_tensor_scalar)(void* self, void* other, void* alpha);
+  HOST_API void* lantern__foreach_add__tensorlist_tensor_scalar(void* self, void* other, void* alpha) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_add__tensorlist_tensor_scalar(self, other, alpha); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sub_tensorlist_scalar)(void* self, void* scalar);
+  HOST_API void* lantern__foreach_sub_tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sub_tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sub__tensorlist_scalar)(void* self, void* scalar);
+  HOST_API void* lantern__foreach_sub__tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sub__tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_sub_tensorlist_tensorlist_scalar)(void* self, void* other, void* alpha);
   HOST_API void* lantern__foreach_sub_tensorlist_tensorlist_scalar(void* self, void* other, void* alpha) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sub_tensorlist_tensorlist_scalar(self, other, alpha); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_sub__tensorlist_tensorlist_scalar)(void* self, void* other, void* alpha);
   HOST_API void* lantern__foreach_sub__tensorlist_tensorlist_scalar(void* self, void* other, void* alpha) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sub__tensorlist_tensorlist_scalar(self, other, alpha); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sub_tensorlist_arrayrefscalar)(void* self, void* scalars);
+  HOST_API void* lantern__foreach_sub_tensorlist_arrayrefscalar(void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sub_tensorlist_arrayrefscalar(self, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sub__tensorlist_arrayrefscalar)(void* self, void* scalars);
+  HOST_API void* lantern__foreach_sub__tensorlist_arrayrefscalar(void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sub__tensorlist_arrayrefscalar(self, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_mul_tensorlist_scalar)(void* self, void* scalar);
+  HOST_API void* lantern__foreach_mul_tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_mul_tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_mul__tensorlist_scalar)(void* self, void* scalar);
+  HOST_API void* lantern__foreach_mul__tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_mul__tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_mul_tensorlist_tensorlist)(void* self, void* other);
   HOST_API void* lantern__foreach_mul_tensorlist_tensorlist(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_mul_tensorlist_tensorlist(self, other); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_mul__tensorlist_tensorlist)(void* self, void* other);
   HOST_API void* lantern__foreach_mul__tensorlist_tensorlist(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_mul__tensorlist_tensorlist(self, other); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_mul_tensorlist_arrayrefscalar)(void* self, void* scalars);
+  HOST_API void* lantern__foreach_mul_tensorlist_arrayrefscalar(void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_mul_tensorlist_arrayrefscalar(self, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_mul__tensorlist_arrayrefscalar)(void* self, void* scalars);
+  HOST_API void* lantern__foreach_mul__tensorlist_arrayrefscalar(void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_mul__tensorlist_arrayrefscalar(self, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_mul_tensorlist_tensor)(void* self, void* other);
+  HOST_API void* lantern__foreach_mul_tensorlist_tensor(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_mul_tensorlist_tensor(self, other); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_mul__tensorlist_tensor)(void* self, void* other);
+  HOST_API void* lantern__foreach_mul__tensorlist_tensor(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_mul__tensorlist_tensor(self, other); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_div_tensorlist_scalar)(void* self, void* scalar);
+  HOST_API void* lantern__foreach_div_tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_div_tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_div__tensorlist_scalar)(void* self, void* scalar);
+  HOST_API void* lantern__foreach_div__tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_div__tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_div_tensorlist_tensorlist)(void* self, void* other);
   HOST_API void* lantern__foreach_div_tensorlist_tensorlist(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_div_tensorlist_tensorlist(self, other); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_div__tensorlist_tensorlist)(void* self, void* other);
   HOST_API void* lantern__foreach_div__tensorlist_tensorlist(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_div__tensorlist_tensorlist(self, other); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_min_tensorlist_tensorlist)(void* self, void* other);
-  HOST_API void* lantern__foreach_clamp_min_tensorlist_tensorlist(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_min_tensorlist_tensorlist(self, other); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_min__tensorlist_tensorlist)(void* self, void* other);
-  HOST_API void* lantern__foreach_clamp_min__tensorlist_tensorlist(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_min__tensorlist_tensorlist(self, other); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_max_tensorlist_tensorlist)(void* self, void* other);
-  HOST_API void* lantern__foreach_clamp_max_tensorlist_tensorlist(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_max_tensorlist_tensorlist(self, other); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_max__tensorlist_tensorlist)(void* self, void* other);
-  HOST_API void* lantern__foreach_clamp_max__tensorlist_tensorlist(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_max__tensorlist_tensorlist(self, other); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_maximum_tensorlist_tensorlist)(void* self, void* other);
-  HOST_API void* lantern__foreach_maximum_tensorlist_tensorlist(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_maximum_tensorlist_tensorlist(self, other); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_maximum__tensorlist_tensorlist)(void* self, void* other);
-  HOST_API void* lantern__foreach_maximum__tensorlist_tensorlist(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_maximum__tensorlist_tensorlist(self, other); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_minimum_tensorlist_tensorlist)(void* self, void* other);
-  HOST_API void* lantern__foreach_minimum_tensorlist_tensorlist(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_minimum_tensorlist_tensorlist(self, other); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_minimum__tensorlist_tensorlist)(void* self, void* other);
-  HOST_API void* lantern__foreach_minimum__tensorlist_tensorlist(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_minimum__tensorlist_tensorlist(self, other); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_add_tensorlist_arrayrefscalar)(void* self, void* scalars);
-  HOST_API void* lantern__foreach_add_tensorlist_arrayrefscalar(void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_add_tensorlist_arrayrefscalar(self, scalars); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_add__tensorlist_arrayrefscalar)(void* self, void* scalars);
-  HOST_API void* lantern__foreach_add__tensorlist_arrayrefscalar(void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_add__tensorlist_arrayrefscalar(self, scalars); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sub_tensorlist_arrayrefscalar)(void* self, void* scalars);
-  HOST_API void* lantern__foreach_sub_tensorlist_arrayrefscalar(void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sub_tensorlist_arrayrefscalar(self, scalars); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sub__tensorlist_arrayrefscalar)(void* self, void* scalars);
-  HOST_API void* lantern__foreach_sub__tensorlist_arrayrefscalar(void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sub__tensorlist_arrayrefscalar(self, scalars); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_div_tensorlist_arrayrefscalar)(void* self, void* scalars);
   HOST_API void* lantern__foreach_div_tensorlist_arrayrefscalar(void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_div_tensorlist_arrayrefscalar(self, scalars); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_div__tensorlist_arrayrefscalar)(void* self, void* scalars);
   HOST_API void* lantern__foreach_div__tensorlist_arrayrefscalar(void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_div__tensorlist_arrayrefscalar(self, scalars); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_mul_tensorlist_arrayrefscalar)(void* self, void* scalars);
-  HOST_API void* lantern__foreach_mul_tensorlist_arrayrefscalar(void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_mul_tensorlist_arrayrefscalar(self, scalars); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_mul__tensorlist_arrayrefscalar)(void* self, void* scalars);
-  HOST_API void* lantern__foreach_mul__tensorlist_arrayrefscalar(void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_mul__tensorlist_arrayrefscalar(self, scalars); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_min_tensorlist_arrayrefscalar)(void* self, void* scalars);
-  HOST_API void* lantern__foreach_clamp_min_tensorlist_arrayrefscalar(void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_min_tensorlist_arrayrefscalar(self, scalars); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_min__tensorlist_arrayrefscalar)(void* self, void* scalars);
-  HOST_API void* lantern__foreach_clamp_min__tensorlist_arrayrefscalar(void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_min__tensorlist_arrayrefscalar(self, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_div_tensorlist_tensor)(void* self, void* other);
+  HOST_API void* lantern__foreach_div_tensorlist_tensor(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_div_tensorlist_tensor(self, other); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_div__tensorlist_tensor)(void* self, void* other);
+  HOST_API void* lantern__foreach_div__tensorlist_tensor(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_div__tensorlist_tensor(self, other); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_max_tensorlist_scalar)(void* self, void* scalar);
+  HOST_API void* lantern__foreach_clamp_max_tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_max_tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_max__tensorlist_scalar)(void* self, void* scalar);
+  HOST_API void* lantern__foreach_clamp_max__tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_max__tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_max_tensorlist_tensorlist)(void* self, void* other);
+  HOST_API void* lantern__foreach_clamp_max_tensorlist_tensorlist(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_max_tensorlist_tensorlist(self, other); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_max__tensorlist_tensorlist)(void* self, void* other);
+  HOST_API void* lantern__foreach_clamp_max__tensorlist_tensorlist(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_max__tensorlist_tensorlist(self, other); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_max_tensorlist_arrayrefscalar)(void* self, void* scalars);
   HOST_API void* lantern__foreach_clamp_max_tensorlist_arrayrefscalar(void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_max_tensorlist_arrayrefscalar(self, scalars); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_max__tensorlist_arrayrefscalar)(void* self, void* scalars);
   HOST_API void* lantern__foreach_clamp_max__tensorlist_arrayrefscalar(void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_max__tensorlist_arrayrefscalar(self, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_min_tensorlist_scalar)(void* self, void* scalar);
+  HOST_API void* lantern__foreach_clamp_min_tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_min_tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_min__tensorlist_scalar)(void* self, void* scalar);
+  HOST_API void* lantern__foreach_clamp_min__tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_min__tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_min_tensorlist_tensorlist)(void* self, void* other);
+  HOST_API void* lantern__foreach_clamp_min_tensorlist_tensorlist(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_min_tensorlist_tensorlist(self, other); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_min__tensorlist_tensorlist)(void* self, void* other);
+  HOST_API void* lantern__foreach_clamp_min__tensorlist_tensorlist(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_min__tensorlist_tensorlist(self, other); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_min_tensorlist_arrayrefscalar)(void* self, void* scalars);
+  HOST_API void* lantern__foreach_clamp_min_tensorlist_arrayrefscalar(void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_min_tensorlist_arrayrefscalar(self, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_min__tensorlist_arrayrefscalar)(void* self, void* scalars);
+  HOST_API void* lantern__foreach_clamp_min__tensorlist_arrayrefscalar(void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_min__tensorlist_arrayrefscalar(self, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_maximum_tensorlist_scalar)(void* self, void* scalar);
+  HOST_API void* lantern__foreach_maximum_tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_maximum_tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_maximum__tensorlist_scalar)(void* self, void* scalar);
+  HOST_API void* lantern__foreach_maximum__tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_maximum__tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_maximum_tensorlist_tensorlist)(void* self, void* other);
+  HOST_API void* lantern__foreach_maximum_tensorlist_tensorlist(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_maximum_tensorlist_tensorlist(self, other); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_maximum__tensorlist_tensorlist)(void* self, void* other);
+  HOST_API void* lantern__foreach_maximum__tensorlist_tensorlist(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_maximum__tensorlist_tensorlist(self, other); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_maximum_tensorlist_arrayrefscalar)(void* self, void* scalars);
   HOST_API void* lantern__foreach_maximum_tensorlist_arrayrefscalar(void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_maximum_tensorlist_arrayrefscalar(self, scalars); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_maximum__tensorlist_arrayrefscalar)(void* self, void* scalars);
   HOST_API void* lantern__foreach_maximum__tensorlist_arrayrefscalar(void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_maximum__tensorlist_arrayrefscalar(self, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_minimum_tensorlist_scalar)(void* self, void* scalar);
+  HOST_API void* lantern__foreach_minimum_tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_minimum_tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_minimum__tensorlist_scalar)(void* self, void* scalar);
+  HOST_API void* lantern__foreach_minimum__tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_minimum__tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_minimum_tensorlist_tensorlist)(void* self, void* other);
+  HOST_API void* lantern__foreach_minimum_tensorlist_tensorlist(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_minimum_tensorlist_tensorlist(self, other); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_minimum__tensorlist_tensorlist)(void* self, void* other);
+  HOST_API void* lantern__foreach_minimum__tensorlist_tensorlist(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_minimum__tensorlist_tensorlist(self, other); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_minimum_tensorlist_arrayrefscalar)(void* self, void* scalars);
   HOST_API void* lantern__foreach_minimum_tensorlist_arrayrefscalar(void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_minimum_tensorlist_arrayrefscalar(self, scalars); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_minimum__tensorlist_arrayrefscalar)(void* self, void* scalars);
   HOST_API void* lantern__foreach_minimum__tensorlist_arrayrefscalar(void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_minimum__tensorlist_arrayrefscalar(self, scalars); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_exp_tensorlist)(void* self);
-  HOST_API void* lantern__foreach_exp_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_exp_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_zero__tensorlist)(void* self);
-  HOST_API void* lantern__foreach_zero__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_zero__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_exp__tensorlist)(void* self);
-  HOST_API void* lantern__foreach_exp__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_exp__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sqrt_tensorlist)(void* self);
-  HOST_API void* lantern__foreach_sqrt_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sqrt_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sqrt__tensorlist)(void* self);
-  HOST_API void* lantern__foreach_sqrt__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sqrt__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_scalar)(void* self, void* tensor1, void* tensor2, void* value);
+  HOST_API void* lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_scalar(void* self, void* tensor1, void* tensor2, void* value) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_scalar(self, tensor1, tensor2, value); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_arrayrefscalar)(void* self, void* tensor1, void* tensor2, void* scalars);
+  HOST_API void* lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_arrayrefscalar(void* self, void* tensor1, void* tensor2, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_arrayrefscalar(self, tensor1, tensor2, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_tensor)(void* self, void* tensor1, void* tensor2, void* scalars);
+  HOST_API void* lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_tensor(void* self, void* tensor1, void* tensor2, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_tensor(self, tensor1, tensor2, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_scalar)(void* self, void* tensor1, void* tensor2, void* value);
+  HOST_API void* lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_scalar(void* self, void* tensor1, void* tensor2, void* value) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_scalar(self, tensor1, tensor2, value); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_arrayrefscalar)(void* self, void* tensor1, void* tensor2, void* scalars);
+  HOST_API void* lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_arrayrefscalar(void* self, void* tensor1, void* tensor2, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_arrayrefscalar(self, tensor1, tensor2, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_tensor)(void* self, void* tensor1, void* tensor2, void* scalars);
+  HOST_API void* lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_tensor(void* self, void* tensor1, void* tensor2, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_tensor(self, tensor1, tensor2, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_scalar)(void* self, void* tensor1, void* tensor2, void* value);
+  HOST_API void* lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_scalar(void* self, void* tensor1, void* tensor2, void* value) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_scalar(self, tensor1, tensor2, value); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_arrayrefscalar)(void* self, void* tensor1, void* tensor2, void* scalars);
+  HOST_API void* lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_arrayrefscalar(void* self, void* tensor1, void* tensor2, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_arrayrefscalar(self, tensor1, tensor2, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_tensor)(void* self, void* tensor1, void* tensor2, void* scalars);
+  HOST_API void* lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_tensor(void* self, void* tensor1, void* tensor2, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_tensor(self, tensor1, tensor2, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_scalar)(void* self, void* tensor1, void* tensor2, void* value);
+  HOST_API void* lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_scalar(void* self, void* tensor1, void* tensor2, void* value) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_scalar(self, tensor1, tensor2, value); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_arrayrefscalar)(void* self, void* tensor1, void* tensor2, void* scalars);
+  HOST_API void* lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_arrayrefscalar(void* self, void* tensor1, void* tensor2, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_arrayrefscalar(self, tensor1, tensor2, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_tensor)(void* self, void* tensor1, void* tensor2, void* scalars);
+  HOST_API void* lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_tensor(void* self, void* tensor1, void* tensor2, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_tensor(self, tensor1, tensor2, scalars); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_abs_tensorlist)(void* self);
   HOST_API void* lantern__foreach_abs_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_abs_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_abs__tensorlist)(void* self);
@@ -7158,6 +7374,10 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern__foreach_erfc_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_erfc_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_erfc__tensorlist)(void* self);
   HOST_API void* lantern__foreach_erfc__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_erfc__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_exp_tensorlist)(void* self);
+  HOST_API void* lantern__foreach_exp_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_exp_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_exp__tensorlist)(void* self);
+  HOST_API void* lantern__foreach_exp__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_exp__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_expm1_tensorlist)(void* self);
   HOST_API void* lantern__foreach_expm1_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_expm1_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_expm1__tensorlist)(void* self);
@@ -7166,6 +7386,22 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern__foreach_floor_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_floor_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_floor__tensorlist)(void* self);
   HOST_API void* lantern__foreach_floor__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_floor__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_frac_tensorlist)(void* self);
+  HOST_API void* lantern__foreach_frac_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_frac_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_frac__tensorlist)(void* self);
+  HOST_API void* lantern__foreach_frac__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_frac__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_lerp_tensorlist_tensorlist_tensorlist)(void* self, void* tensors1, void* weights);
+  HOST_API void* lantern__foreach_lerp_tensorlist_tensorlist_tensorlist(void* self, void* tensors1, void* weights) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_lerp_tensorlist_tensorlist_tensorlist(self, tensors1, weights); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_lerp__tensorlist_tensorlist_tensorlist)(void* self, void* tensors1, void* weights);
+  HOST_API void* lantern__foreach_lerp__tensorlist_tensorlist_tensorlist(void* self, void* tensors1, void* weights) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_lerp__tensorlist_tensorlist_tensorlist(self, tensors1, weights); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_lerp_tensorlist_tensorlist_scalar)(void* self, void* tensors1, void* weight);
+  HOST_API void* lantern__foreach_lerp_tensorlist_tensorlist_scalar(void* self, void* tensors1, void* weight) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_lerp_tensorlist_tensorlist_scalar(self, tensors1, weight); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_lerp__tensorlist_tensorlist_scalar)(void* self, void* tensors1, void* weight);
+  HOST_API void* lantern__foreach_lerp__tensorlist_tensorlist_scalar(void* self, void* tensors1, void* weight) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_lerp__tensorlist_tensorlist_scalar(self, tensors1, weight); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_lgamma_tensorlist)(void* self);
+  HOST_API void* lantern__foreach_lgamma_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_lgamma_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_lgamma__tensorlist)(void* self);
+  HOST_API void* lantern__foreach_lgamma__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_lgamma__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_log_tensorlist)(void* self);
   HOST_API void* lantern__foreach_log_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_log_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_log__tensorlist)(void* self);
@@ -7182,84 +7418,74 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern__foreach_log2_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_log2_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_log2__tensorlist)(void* self);
   HOST_API void* lantern__foreach_log2__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_log2__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_max_tensorlist)(void* self);
+  HOST_API void* lantern__foreach_max_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_max_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_neg_tensorlist)(void* self);
   HOST_API void* lantern__foreach_neg_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_neg_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_neg__tensorlist)(void* self);
   HOST_API void* lantern__foreach_neg__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_neg__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_tan_tensorlist)(void* self);
-  HOST_API void* lantern__foreach_tan_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_tan_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_tan__tensorlist)(void* self);
-  HOST_API void* lantern__foreach_tan__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_tan__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_tanh_tensorlist)(void* self);
-  HOST_API void* lantern__foreach_tanh_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_tanh_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_tanh__tensorlist)(void* self);
-  HOST_API void* lantern__foreach_tanh__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_tanh__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sin_tensorlist)(void* self);
-  HOST_API void* lantern__foreach_sin_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sin_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sin__tensorlist)(void* self);
-  HOST_API void* lantern__foreach_sin__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sin__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sinh_tensorlist)(void* self);
-  HOST_API void* lantern__foreach_sinh_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sinh_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sinh__tensorlist)(void* self);
-  HOST_API void* lantern__foreach_sinh__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sinh__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_round_tensorlist)(void* self);
-  HOST_API void* lantern__foreach_round_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_round_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_round__tensorlist)(void* self);
-  HOST_API void* lantern__foreach_round__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_round__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_lgamma_tensorlist)(void* self);
-  HOST_API void* lantern__foreach_lgamma_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_lgamma_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_lgamma__tensorlist)(void* self);
-  HOST_API void* lantern__foreach_lgamma__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_lgamma__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_frac_tensorlist)(void* self);
-  HOST_API void* lantern__foreach_frac_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_frac_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_frac__tensorlist)(void* self);
-  HOST_API void* lantern__foreach_frac__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_frac__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_norm_tensorlist_scalar_scalartype)(void* self, void* ord, void* dtype);
+  HOST_API void* lantern__foreach_norm_tensorlist_scalar_scalartype(void* self, void* ord, void* dtype) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_norm_tensorlist_scalar_scalartype(self, ord, dtype); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_pow_tensorlist_tensorlist)(void* self, void* exponent);
+  HOST_API void* lantern__foreach_pow_tensorlist_tensorlist(void* self, void* exponent) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_pow_tensorlist_tensorlist(self, exponent); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_pow_tensorlist_scalar)(void* self, void* exponent);
+  HOST_API void* lantern__foreach_pow_tensorlist_scalar(void* self, void* exponent) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_pow_tensorlist_scalar(self, exponent); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_pow_tensorlist_arrayrefscalar)(void* self, void* exponent);
+  HOST_API void* lantern__foreach_pow_tensorlist_arrayrefscalar(void* self, void* exponent) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_pow_tensorlist_arrayrefscalar(self, exponent); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_pow_scalar_tensorlist)(void* self, void* exponent);
+  HOST_API void* lantern__foreach_pow_scalar_tensorlist(void* self, void* exponent) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_pow_scalar_tensorlist(self, exponent); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_pow__tensorlist_tensorlist)(void* self, void* exponent);
+  HOST_API void* lantern__foreach_pow__tensorlist_tensorlist(void* self, void* exponent) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_pow__tensorlist_tensorlist(self, exponent); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_pow__tensorlist_scalar)(void* self, void* exponent);
+  HOST_API void* lantern__foreach_pow__tensorlist_scalar(void* self, void* exponent) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_pow__tensorlist_scalar(self, exponent); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_pow__tensorlist_arrayrefscalar)(void* self, void* exponent);
+  HOST_API void* lantern__foreach_pow__tensorlist_arrayrefscalar(void* self, void* exponent) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_pow__tensorlist_arrayrefscalar(self, exponent); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_reciprocal_tensorlist)(void* self);
   HOST_API void* lantern__foreach_reciprocal_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_reciprocal_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_reciprocal__tensorlist)(void* self);
   HOST_API void* lantern__foreach_reciprocal__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_reciprocal__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_round_tensorlist)(void* self);
+  HOST_API void* lantern__foreach_round_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_round_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_round__tensorlist)(void* self);
+  HOST_API void* lantern__foreach_round__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_round__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_sigmoid_tensorlist)(void* self);
   HOST_API void* lantern__foreach_sigmoid_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sigmoid_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_sigmoid__tensorlist)(void* self);
   HOST_API void* lantern__foreach_sigmoid__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sigmoid__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sign_tensorlist)(void* self);
+  HOST_API void* lantern__foreach_sign_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sign_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sign__tensorlist)(void* self);
+  HOST_API void* lantern__foreach_sign__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sign__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sin_tensorlist)(void* self);
+  HOST_API void* lantern__foreach_sin_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sin_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sin__tensorlist)(void* self);
+  HOST_API void* lantern__foreach_sin__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sin__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sinh_tensorlist)(void* self);
+  HOST_API void* lantern__foreach_sinh_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sinh_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sinh__tensorlist)(void* self);
+  HOST_API void* lantern__foreach_sinh__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sinh__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sqrt_tensorlist)(void* self);
+  HOST_API void* lantern__foreach_sqrt_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sqrt_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sqrt__tensorlist)(void* self);
+  HOST_API void* lantern__foreach_sqrt__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sqrt__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_tan_tensorlist)(void* self);
+  HOST_API void* lantern__foreach_tan_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_tan_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_tan__tensorlist)(void* self);
+  HOST_API void* lantern__foreach_tan__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_tan__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_tanh_tensorlist)(void* self);
+  HOST_API void* lantern__foreach_tanh_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_tanh_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_tanh__tensorlist)(void* self);
+  HOST_API void* lantern__foreach_tanh__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_tanh__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_trunc_tensorlist)(void* self);
   HOST_API void* lantern__foreach_trunc_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_trunc_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_trunc__tensorlist)(void* self);
   HOST_API void* lantern__foreach_trunc__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_trunc__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_scalar)(void* self, void* tensor1, void* tensor2, void* value);
-  HOST_API void* lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_scalar(void* self, void* tensor1, void* tensor2, void* value) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_scalar(self, tensor1, tensor2, value); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_scalar)(void* self, void* tensor1, void* tensor2, void* value);
-  HOST_API void* lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_scalar(void* self, void* tensor1, void* tensor2, void* value) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_scalar(self, tensor1, tensor2, value); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_arrayrefscalar)(void* self, void* tensor1, void* tensor2, void* scalars);
-  HOST_API void* lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_arrayrefscalar(void* self, void* tensor1, void* tensor2, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_arrayrefscalar(self, tensor1, tensor2, scalars); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_tensor)(void* self, void* tensor1, void* tensor2, void* scalars);
-  HOST_API void* lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_tensor(void* self, void* tensor1, void* tensor2, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_tensor(self, tensor1, tensor2, scalars); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_arrayrefscalar)(void* self, void* tensor1, void* tensor2, void* scalars);
-  HOST_API void* lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_arrayrefscalar(void* self, void* tensor1, void* tensor2, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_arrayrefscalar(self, tensor1, tensor2, scalars); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_tensor)(void* self, void* tensor1, void* tensor2, void* scalars);
-  HOST_API void* lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_tensor(void* self, void* tensor1, void* tensor2, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_tensor(self, tensor1, tensor2, scalars); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_scalar)(void* self, void* tensor1, void* tensor2, void* value);
-  HOST_API void* lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_scalar(void* self, void* tensor1, void* tensor2, void* value) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_scalar(self, tensor1, tensor2, value); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_scalar)(void* self, void* tensor1, void* tensor2, void* value);
-  HOST_API void* lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_scalar(void* self, void* tensor1, void* tensor2, void* value) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_scalar(self, tensor1, tensor2, value); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_arrayrefscalar)(void* self, void* tensor1, void* tensor2, void* scalars);
-  HOST_API void* lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_arrayrefscalar(void* self, void* tensor1, void* tensor2, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_arrayrefscalar(self, tensor1, tensor2, scalars); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_tensor)(void* self, void* tensor1, void* tensor2, void* scalars);
-  HOST_API void* lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_tensor(void* self, void* tensor1, void* tensor2, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_tensor(self, tensor1, tensor2, scalars); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_arrayrefscalar)(void* self, void* tensor1, void* tensor2, void* scalars);
-  HOST_API void* lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_arrayrefscalar(void* self, void* tensor1, void* tensor2, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_arrayrefscalar(self, tensor1, tensor2, scalars); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_tensor)(void* self, void* tensor1, void* tensor2, void* scalars);
-  HOST_API void* lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_tensor(void* self, void* tensor1, void* tensor2, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_tensor(self, tensor1, tensor2, scalars); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_norm_tensorlist_scalar)(void* self, void* ord);
-  HOST_API void* lantern__foreach_norm_tensorlist_scalar(void* self, void* ord) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_norm_tensorlist_scalar(self, ord); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_lerp_tensorlist_tensorlist_tensorlist)(void* self, void* tensors1, void* weights);
-  HOST_API void* lantern__foreach_lerp_tensorlist_tensorlist_tensorlist(void* self, void* tensors1, void* weights) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_lerp_tensorlist_tensorlist_tensorlist(self, tensors1, weights); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_lerp__tensorlist_tensorlist_tensorlist)(void* self, void* tensors1, void* weights);
-  HOST_API void* lantern__foreach_lerp__tensorlist_tensorlist_tensorlist(void* self, void* tensors1, void* weights) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_lerp__tensorlist_tensorlist_tensorlist(self, tensors1, weights); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_lerp_tensorlist_tensorlist_scalar)(void* self, void* tensors1, void* weight);
-  HOST_API void* lantern__foreach_lerp_tensorlist_tensorlist_scalar(void* self, void* tensors1, void* weight) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_lerp_tensorlist_tensorlist_scalar(self, tensors1, weight); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_lerp__tensorlist_tensorlist_scalar)(void* self, void* tensors1, void* weight);
-  HOST_API void* lantern__foreach_lerp__tensorlist_tensorlist_scalar(void* self, void* tensors1, void* weight) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_lerp__tensorlist_tensorlist_scalar(self, tensors1, weight); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_zero__tensorlist)(void* self);
+  HOST_API void* lantern__foreach_zero__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_zero__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_copy__tensorlist_tensorlist_bool)(void* self, void* src, void* non_blocking);
+  HOST_API void* lantern__foreach_copy__tensorlist_tensorlist_bool(void* self, void* src, void* non_blocking) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_copy__tensorlist_tensorlist_bool(self, src, non_blocking); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_copy_tensorlist_tensorlist_bool)(void* self, void* src, void* non_blocking);
+  HOST_API void* lantern__foreach_copy_tensorlist_tensorlist_bool(void* self, void* src, void* non_blocking) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_copy_tensorlist_tensorlist_bool(self, src, non_blocking); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_bucketize_tensor_tensor_bool_bool)(void* self, void* boundaries, void* out_int32, void* right);
   HOST_API void* lantern_bucketize_tensor_tensor_bool_bool(void* self, void* boundaries, void* out_int32, void* right) { LANTERN_CHECK_LOADED void* ret = _lantern_bucketize_tensor_tensor_bool_bool(self, boundaries, out_int32, right); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_bucketize_out_tensor_tensor_tensor_bool_bool)(void* out, void* self, void* boundaries, void* out_int32, void* right);
@@ -7272,6 +7498,8 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_searchsorted_out_tensor_tensor_tensor_bool_bool_cstringview_tensor(void* out, void* sorted_sequence, void* self, void* out_int32, void* right, void* side, void* sorter) { LANTERN_CHECK_LOADED void* ret = _lantern_searchsorted_out_tensor_tensor_tensor_bool_bool_cstringview_tensor(out, sorted_sequence, self, out_int32, right, side, sorter); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_searchsorted_tensor_scalar_bool_bool_cstringview_tensor)(void* sorted_sequence, void* self, void* out_int32, void* right, void* side, void* sorter);
   HOST_API void* lantern_searchsorted_tensor_scalar_bool_bool_cstringview_tensor(void* sorted_sequence, void* self, void* out_int32, void* right, void* side, void* sorter) { LANTERN_CHECK_LOADED void* ret = _lantern_searchsorted_tensor_scalar_bool_bool_cstringview_tensor(sorted_sequence, self, out_int32, right, side, sorter); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_searchsorted_out_tensor_tensor_scalar_bool_bool_cstringview_tensor)(void* out, void* sorted_sequence, void* self, void* out_int32, void* right, void* side, void* sorter);
+  HOST_API void* lantern_searchsorted_out_tensor_tensor_scalar_bool_bool_cstringview_tensor(void* out, void* sorted_sequence, void* self, void* out_int32, void* right, void* side, void* sorter) { LANTERN_CHECK_LOADED void* ret = _lantern_searchsorted_out_tensor_tensor_scalar_bool_bool_cstringview_tensor(out, sorted_sequence, self, out_int32, right, side, sorter); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__convert_indices_from_coo_to_csr_tensor_intt_bool)(void* self, void* size, void* out_int32);
   HOST_API void* lantern__convert_indices_from_coo_to_csr_tensor_intt_bool(void* self, void* size, void* out_int32) { LANTERN_CHECK_LOADED void* ret = _lantern__convert_indices_from_coo_to_csr_tensor_intt_bool(self, size, out_int32); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__convert_indices_from_coo_to_csr_out_tensor_tensor_intt_bool)(void* out, void* self, void* size, void* out_int32);
@@ -8132,6 +8360,8 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_linalg_eig_tensor(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern_linalg_eig_tensor(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_linalg_eig_out_tensor_tensor_tensor)(void* eigenvalues, void* eigenvectors, void* self);
   HOST_API void* lantern_linalg_eig_out_tensor_tensor_tensor(void* eigenvalues, void* eigenvectors, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern_linalg_eig_out_tensor_tensor_tensor(eigenvalues, eigenvectors, self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__linalg_eigvals_tensor)(void* self);
+  HOST_API void* lantern__linalg_eigvals_tensor(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__linalg_eigvals_tensor(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_linalg_eigvals_tensor)(void* self);
   HOST_API void* lantern_linalg_eigvals_tensor(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern_linalg_eigvals_tensor(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_linalg_eigvals_out_tensor_tensor)(void* out, void* self);
@@ -8250,6 +8480,8 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_linalg_solve_ex_out_tensor_tensor_tensor_tensor_bool_bool(void* result, void* info, void* A, void* B, void* left, void* check_errors) { LANTERN_CHECK_LOADED void* ret = _lantern_linalg_solve_ex_out_tensor_tensor_tensor_tensor_bool_bool(result, info, A, B, left, check_errors); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_linalg_solve_tensor_tensor_bool)(void* A, void* B, void* left);
   HOST_API void* lantern_linalg_solve_tensor_tensor_bool(void* A, void* B, void* left) { LANTERN_CHECK_LOADED void* ret = _lantern_linalg_solve_tensor_tensor_bool(A, B, left); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__spsolve_tensor_tensor_bool)(void* A, void* B, void* left);
+  HOST_API void* lantern__spsolve_tensor_tensor_bool(void* A, void* B, void* left) { LANTERN_CHECK_LOADED void* ret = _lantern__spsolve_tensor_tensor_bool(A, B, left); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_linalg_solve_out_tensor_tensor_tensor_bool)(void* out, void* A, void* B, void* left);
   HOST_API void* lantern_linalg_solve_out_tensor_tensor_tensor_bool(void* out, void* A, void* B, void* left) { LANTERN_CHECK_LOADED void* ret = _lantern_linalg_solve_out_tensor_tensor_tensor_bool(out, A, B, left); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_linalg_tensorinv_tensor_intt)(void* self, void* ind);
@@ -8292,6 +8524,8 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_nested_to_padded_tensor_tensor_double_intarrayref(void* self, void* padding, void* output_size) { LANTERN_CHECK_LOADED void* ret = _lantern_nested_to_padded_tensor_tensor_double_intarrayref(self, padding, output_size); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__test_serialization_subcmul_tensor_tensor_scalar)(void* self, void* other, void* alpha);
   HOST_API void* lantern__test_serialization_subcmul_tensor_tensor_scalar(void* self, void* other, void* alpha) { LANTERN_CHECK_LOADED void* ret = _lantern__test_serialization_subcmul_tensor_tensor_scalar(self, other, alpha); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__test_parallel_materialize_tensor_intt_bool)(void* self, void* num_parallel, void* skip_first);
+  HOST_API void* lantern__test_parallel_materialize_tensor_intt_bool(void* self, void* num_parallel, void* skip_first) { LANTERN_CHECK_LOADED void* ret = _lantern__test_parallel_materialize_tensor_intt_bool(self, num_parallel, skip_first); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__test_optional_intlist_tensor_intarrayref)(void* values, void* addends);
   HOST_API void* lantern__test_optional_intlist_tensor_intarrayref(void* values, void* addends) { LANTERN_CHECK_LOADED void* ret = _lantern__test_optional_intlist_tensor_intarrayref(values, addends); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__test_optional_filled_intlist_tensor_intarrayref)(void* values, void* addends);
@@ -8318,8 +8552,8 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_segment_reduce_tensor_cstringview_tensor_tensor_tensor_intt_bool_scalar(void* data, void* reduce, void* lengths, void* indices, void* offsets, void* axis, void* unsafe, void* initial) { LANTERN_CHECK_LOADED void* ret = _lantern_segment_reduce_tensor_cstringview_tensor_tensor_tensor_intt_bool_scalar(data, reduce, lengths, indices, offsets, axis, unsafe, initial); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__segment_reduce_backward_tensor_tensor_tensor_cstringview_tensor_tensor_intt_scalar)(void* grad, void* output, void* data, void* reduce, void* lengths, void* offsets, void* axis, void* initial);
   HOST_API void* lantern__segment_reduce_backward_tensor_tensor_tensor_cstringview_tensor_tensor_intt_scalar(void* grad, void* output, void* data, void* reduce, void* lengths, void* offsets, void* axis, void* initial) { LANTERN_CHECK_LOADED void* ret = _lantern__segment_reduce_backward_tensor_tensor_tensor_cstringview_tensor_tensor_intt_scalar(grad, output, data, reduce, lengths, offsets, axis, initial); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_pad_sequence_tensorlist_bool_double)(void* sequences, void* batch_first, void* padding_value);
-  HOST_API void* lantern_pad_sequence_tensorlist_bool_double(void* sequences, void* batch_first, void* padding_value) { LANTERN_CHECK_LOADED void* ret = _lantern_pad_sequence_tensorlist_bool_double(sequences, batch_first, padding_value); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_pad_sequence_tensorlist_bool_double_cstringview)(void* sequences, void* batch_first, void* padding_value, void* padding_side);
+  HOST_API void* lantern_pad_sequence_tensorlist_bool_double_cstringview(void* sequences, void* batch_first, void* padding_value, void* padding_side) { LANTERN_CHECK_LOADED void* ret = _lantern_pad_sequence_tensorlist_bool_double_cstringview(sequences, batch_first, padding_value, padding_side); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_flatten_dense_tensors_tensorlist)(void* tensors);
   HOST_API void* lantern_flatten_dense_tensors_tensorlist(void* tensors) { LANTERN_CHECK_LOADED void* ret = _lantern_flatten_dense_tensors_tensorlist(tensors); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_unflatten_dense_tensors_tensor_tensorlist)(void* flat, void* tensors);
@@ -8406,50 +8640,64 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_alias_copy_tensor(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern_alias_copy_tensor(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_to_padded_tensor_tensor_double_intarrayref)(void* self, void* padding, void* output_size);
   HOST_API void* lantern_Tensor_to_padded_tensor_tensor_double_intarrayref(void* self, void* padding, void* output_size) { void* ret = _lantern_Tensor_to_padded_tensor_tensor_double_intarrayref(self, padding, output_size); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__jagged_to_padded_dense_forward_tensor_tensorlist_intarrayref_double)(void* values, void* offsets, void* max_lengths, void* padding_value);
+  HOST_API void* lantern__jagged_to_padded_dense_forward_tensor_tensorlist_intarrayref_double(void* values, void* offsets, void* max_lengths, void* padding_value) { LANTERN_CHECK_LOADED void* ret = _lantern__jagged_to_padded_dense_forward_tensor_tensorlist_intarrayref_double(values, offsets, max_lengths, padding_value); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__padded_dense_to_jagged_forward_tensor_tensorlist_intt)(void* dense, void* offsets, void* total_L);
+  HOST_API void* lantern__padded_dense_to_jagged_forward_tensor_tensorlist_intt(void* dense, void* offsets, void* total_L) { LANTERN_CHECK_LOADED void* ret = _lantern__padded_dense_to_jagged_forward_tensor_tensorlist_intt(dense, offsets, total_L); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__nested_tensor_softmax_with_shape_tensor_tensor)(void* self, void* query);
   HOST_API void* lantern__nested_tensor_softmax_with_shape_tensor_tensor(void* self, void* query) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_tensor_softmax_with_shape_tensor_tensor(self, query); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__safe_softmax_tensor_intt_scalartype)(void* self, void* dim, void* dtype);
+  HOST_API void* lantern__safe_softmax_tensor_intt_scalartype(void* self, void* dim, void* dtype) { LANTERN_CHECK_LOADED void* ret = _lantern__safe_softmax_tensor_intt_scalartype(self, dim, dtype); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__transformer_encoder_layer_fwd_tensor_intt_intt_tensor_tensor_tensor_tensor_bool_bool_double_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt)(void* src, void* embed_dim, void* num_heads, void* qkv_weight, void* qkv_bias, void* proj_weight, void* proj_bias, void* use_gelu, void* norm_first, void* eps, void* norm_weight_1, void* norm_bias_1, void* norm_weight_2, void* norm_bias_2, void* ffn_weight_1, void* ffn_bias_1, void* ffn_weight_2, void* ffn_bias_2, void* mask, void* mask_type);
   HOST_API void* lantern__transformer_encoder_layer_fwd_tensor_intt_intt_tensor_tensor_tensor_tensor_bool_bool_double_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt(void* src, void* embed_dim, void* num_heads, void* qkv_weight, void* qkv_bias, void* proj_weight, void* proj_bias, void* use_gelu, void* norm_first, void* eps, void* norm_weight_1, void* norm_bias_1, void* norm_weight_2, void* norm_bias_2, void* ffn_weight_1, void* ffn_bias_1, void* ffn_weight_2, void* ffn_bias_2, void* mask, void* mask_type) { LANTERN_CHECK_LOADED void* ret = _lantern__transformer_encoder_layer_fwd_tensor_intt_intt_tensor_tensor_tensor_tensor_bool_bool_double_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt(src, embed_dim, num_heads, qkv_weight, qkv_bias, proj_weight, proj_bias, use_gelu, norm_first, eps, norm_weight_1, norm_bias_1, norm_weight_2, norm_bias_2, ffn_weight_1, ffn_bias_1, ffn_weight_2, ffn_bias_2, mask, mask_type); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__native_multi_head_attention_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_tensor_bool_bool_intt)(void* query, void* key, void* value, void* embed_dim, void* num_head, void* qkv_weight, void* qkv_bias, void* proj_weight, void* proj_bias, void* mask, void* need_weights, void* average_attn_weights, void* mask_type);
   HOST_API void* lantern__native_multi_head_attention_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_tensor_bool_bool_intt(void* query, void* key, void* value, void* embed_dim, void* num_head, void* qkv_weight, void* qkv_bias, void* proj_weight, void* proj_bias, void* mask, void* need_weights, void* average_attn_weights, void* mask_type) { LANTERN_CHECK_LOADED void* ret = _lantern__native_multi_head_attention_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_tensor_bool_bool_intt(query, key, value, embed_dim, num_head, qkv_weight, qkv_bias, proj_weight, proj_bias, mask, need_weights, average_attn_weights, mask_type); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_scaled_dot_product_attention_tensor_tensor_tensor_tensor_double_bool)(void* query, void* key, void* value, void* attn_mask, void* dropout_p, void* is_causal);
-  HOST_API void* lantern_scaled_dot_product_attention_tensor_tensor_tensor_tensor_double_bool(void* query, void* key, void* value, void* attn_mask, void* dropout_p, void* is_causal) { LANTERN_CHECK_LOADED void* ret = _lantern_scaled_dot_product_attention_tensor_tensor_tensor_tensor_double_bool(query, key, value, attn_mask, dropout_p, is_causal); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__scaled_dot_product_attention_tensor_tensor_tensor_tensor_double_bool_bool)(void* query, void* key, void* value, void* attn_mask, void* dropout_p, void* need_attn_weights, void* is_causal);
-  HOST_API void* lantern__scaled_dot_product_attention_tensor_tensor_tensor_tensor_double_bool_bool(void* query, void* key, void* value, void* attn_mask, void* dropout_p, void* need_attn_weights, void* is_causal) { LANTERN_CHECK_LOADED void* ret = _lantern__scaled_dot_product_attention_tensor_tensor_tensor_tensor_double_bool_bool(query, key, value, attn_mask, dropout_p, need_attn_weights, is_causal); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__fused_sdp_choice_tensor_tensor_tensor_tensor_double_bool)(void* query, void* key, void* value, void* attn_mask, void* dropout_p, void* is_causal);
-  HOST_API void* lantern__fused_sdp_choice_tensor_tensor_tensor_tensor_double_bool(void* query, void* key, void* value, void* attn_mask, void* dropout_p, void* is_causal) { LANTERN_CHECK_LOADED void* ret = _lantern__fused_sdp_choice_tensor_tensor_tensor_tensor_double_bool(query, key, value, attn_mask, dropout_p, is_causal); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__scaled_dot_product_attention_math_tensor_tensor_tensor_tensor_double_bool_tensor)(void* query, void* key, void* value, void* attn_mask, void* dropout_p, void* is_causal, void* dropout_mask);
-  HOST_API void* lantern__scaled_dot_product_attention_math_tensor_tensor_tensor_tensor_double_bool_tensor(void* query, void* key, void* value, void* attn_mask, void* dropout_p, void* is_causal, void* dropout_mask) { LANTERN_CHECK_LOADED void* ret = _lantern__scaled_dot_product_attention_math_tensor_tensor_tensor_tensor_double_bool_tensor(query, key, value, attn_mask, dropout_p, is_causal, dropout_mask); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__scaled_dot_product_flash_attention_tensor_tensor_tensor_double_bool_bool)(void* query, void* key, void* value, void* dropout_p, void* is_causal, void* return_debug_mask);
-  HOST_API void* lantern__scaled_dot_product_flash_attention_tensor_tensor_tensor_double_bool_bool(void* query, void* key, void* value, void* dropout_p, void* is_causal, void* return_debug_mask) { LANTERN_CHECK_LOADED void* ret = _lantern__scaled_dot_product_flash_attention_tensor_tensor_tensor_double_bool_bool(query, key, value, dropout_p, is_causal, return_debug_mask); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__scaled_dot_product_flash_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_intt_intt)(void* grad_out, void* query, void* key, void* value, void* out, void* logsumexp, void* cum_seq_q, void* cum_seq_k, void* max_q, void* max_k, void* dropout_p, void* is_causal, void* philox_seed, void* philox_offset);
-  HOST_API void* lantern__scaled_dot_product_flash_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_intt_intt(void* grad_out, void* query, void* key, void* value, void* out, void* logsumexp, void* cum_seq_q, void* cum_seq_k, void* max_q, void* max_k, void* dropout_p, void* is_causal, void* philox_seed, void* philox_offset) { LANTERN_CHECK_LOADED void* ret = _lantern__scaled_dot_product_flash_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_intt_intt(grad_out, query, key, value, out, logsumexp, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, philox_seed, philox_offset); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__scaled_dot_product_efficient_attention_tensor_tensor_tensor_bool_bool)(void* query, void* key, void* value, void* compute_log_sumexp, void* is_causal);
-  HOST_API void* lantern__scaled_dot_product_efficient_attention_tensor_tensor_tensor_bool_bool(void* query, void* key, void* value, void* compute_log_sumexp, void* is_causal) { LANTERN_CHECK_LOADED void* ret = _lantern__scaled_dot_product_efficient_attention_tensor_tensor_tensor_bool_bool(query, key, value, compute_log_sumexp, is_causal); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__scaled_dot_product_efficient_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_bool_bool)(void* grad_out_, void* query, void* key, void* value, void* out, void* logsumexp, void* is_causal, void* chunk_grad_outputs);
-  HOST_API void* lantern__scaled_dot_product_efficient_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_bool_bool(void* grad_out_, void* query, void* key, void* value, void* out, void* logsumexp, void* is_causal, void* chunk_grad_outputs) { LANTERN_CHECK_LOADED void* ret = _lantern__scaled_dot_product_efficient_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_bool_bool(grad_out_, query, key, value, out, logsumexp, is_causal, chunk_grad_outputs); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__chunk_grad_outputs_efficient_attention_tensor_tensor_tensor_bool)(void* query, void* key, void* value, void* is_causal);
-  HOST_API void* lantern__chunk_grad_outputs_efficient_attention_tensor_tensor_tensor_bool(void* query, void* key, void* value, void* is_causal) { LANTERN_CHECK_LOADED void* ret = _lantern__chunk_grad_outputs_efficient_attention_tensor_tensor_tensor_bool(query, key, value, is_causal); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__flash_attention_forward_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_bool)(void* query, void* key, void* value, void* cum_seq_q, void* cum_seq_k, void* max_q, void* max_k, void* dropout_p, void* is_causal, void* return_debug_mask);
-  HOST_API void* lantern__flash_attention_forward_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_bool(void* query, void* key, void* value, void* cum_seq_q, void* cum_seq_k, void* max_q, void* max_k, void* dropout_p, void* is_causal, void* return_debug_mask) { LANTERN_CHECK_LOADED void* ret = _lantern__flash_attention_forward_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_bool(query, key, value, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, return_debug_mask); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__flash_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_intt_intt)(void* grad_out, void* query, void* key, void* value, void* out, void* logsumexp, void* cum_seq_q, void* cum_seq_k, void* max_q, void* max_k, void* dropout_p, void* is_causal, void* philox_seed, void* philox_offset);
-  HOST_API void* lantern__flash_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_intt_intt(void* grad_out, void* query, void* key, void* value, void* out, void* logsumexp, void* cum_seq_q, void* cum_seq_k, void* max_q, void* max_k, void* dropout_p, void* is_causal, void* philox_seed, void* philox_offset) { LANTERN_CHECK_LOADED void* ret = _lantern__flash_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_intt_intt(grad_out, query, key, value, out, logsumexp, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, philox_seed, philox_offset); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__efficient_attention_forward_tensor_tensor_tensor_tensor_tensor_intt_bool_bool)(void* query, void* key, void* value, void* cu_seqlens_q, void* cu_seqlens_k, void* max_seqlen_q, void* compute_log_sumexp, void* causal);
-  HOST_API void* lantern__efficient_attention_forward_tensor_tensor_tensor_tensor_tensor_intt_bool_bool(void* query, void* key, void* value, void* cu_seqlens_q, void* cu_seqlens_k, void* max_seqlen_q, void* compute_log_sumexp, void* causal) { LANTERN_CHECK_LOADED void* ret = _lantern__efficient_attention_forward_tensor_tensor_tensor_tensor_tensor_intt_bool_bool(query, key, value, cu_seqlens_q, cu_seqlens_k, max_seqlen_q, compute_log_sumexp, causal); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__efficient_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_bool_bool)(void* grad_out_, void* query, void* key, void* value, void* out, void* logsumexp, void* is_causal, void* chunk_grad_outputs);
-  HOST_API void* lantern__efficient_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_bool_bool(void* grad_out_, void* query, void* key, void* value, void* out, void* logsumexp, void* is_causal, void* chunk_grad_outputs) { LANTERN_CHECK_LOADED void* ret = _lantern__efficient_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_bool_bool(grad_out_, query, key, value, out, logsumexp, is_causal, chunk_grad_outputs); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_scaled_dot_product_attention_tensor_tensor_tensor_tensor_double_bool_double_bool)(void* query, void* key, void* value, void* attn_mask, void* dropout_p, void* is_causal, void* scale, void* enable_gqa);
+  HOST_API void* lantern_scaled_dot_product_attention_tensor_tensor_tensor_tensor_double_bool_double_bool(void* query, void* key, void* value, void* attn_mask, void* dropout_p, void* is_causal, void* scale, void* enable_gqa) { LANTERN_CHECK_LOADED void* ret = _lantern_scaled_dot_product_attention_tensor_tensor_tensor_tensor_double_bool_double_bool(query, key, value, attn_mask, dropout_p, is_causal, scale, enable_gqa); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__fused_sdp_choice_tensor_tensor_tensor_tensor_double_bool_double_bool)(void* query, void* key, void* value, void* attn_mask, void* dropout_p, void* is_causal, void* scale, void* enable_gqa);
+  HOST_API void* lantern__fused_sdp_choice_tensor_tensor_tensor_tensor_double_bool_double_bool(void* query, void* key, void* value, void* attn_mask, void* dropout_p, void* is_causal, void* scale, void* enable_gqa) { LANTERN_CHECK_LOADED void* ret = _lantern__fused_sdp_choice_tensor_tensor_tensor_tensor_double_bool_double_bool(query, key, value, attn_mask, dropout_p, is_causal, scale, enable_gqa); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__scaled_dot_product_attention_math_tensor_tensor_tensor_tensor_double_bool_tensor_double_bool)(void* query, void* key, void* value, void* attn_mask, void* dropout_p, void* is_causal, void* dropout_mask, void* scale, void* enable_gqa);
+  HOST_API void* lantern__scaled_dot_product_attention_math_tensor_tensor_tensor_tensor_double_bool_tensor_double_bool(void* query, void* key, void* value, void* attn_mask, void* dropout_p, void* is_causal, void* dropout_mask, void* scale, void* enable_gqa) { LANTERN_CHECK_LOADED void* ret = _lantern__scaled_dot_product_attention_math_tensor_tensor_tensor_tensor_double_bool_tensor_double_bool(query, key, value, attn_mask, dropout_p, is_causal, dropout_mask, scale, enable_gqa); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__scaled_dot_product_attention_math_for_mps_tensor_tensor_tensor_tensor_double_bool_tensor_double)(void* query, void* key, void* value, void* attn_mask, void* dropout_p, void* is_causal, void* dropout_mask, void* scale);
+  HOST_API void* lantern__scaled_dot_product_attention_math_for_mps_tensor_tensor_tensor_tensor_double_bool_tensor_double(void* query, void* key, void* value, void* attn_mask, void* dropout_p, void* is_causal, void* dropout_mask, void* scale) { LANTERN_CHECK_LOADED void* ret = _lantern__scaled_dot_product_attention_math_for_mps_tensor_tensor_tensor_tensor_double_bool_tensor_double(query, key, value, attn_mask, dropout_p, is_causal, dropout_mask, scale); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__scaled_dot_product_flash_attention_tensor_tensor_tensor_double_bool_bool_double)(void* query, void* key, void* value, void* dropout_p, void* is_causal, void* return_debug_mask, void* scale);
+  HOST_API void* lantern__scaled_dot_product_flash_attention_tensor_tensor_tensor_double_bool_bool_double(void* query, void* key, void* value, void* dropout_p, void* is_causal, void* return_debug_mask, void* scale) { LANTERN_CHECK_LOADED void* ret = _lantern__scaled_dot_product_flash_attention_tensor_tensor_tensor_double_bool_bool_double(query, key, value, dropout_p, is_causal, return_debug_mask, scale); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__scaled_dot_product_flash_attention_for_cpu_tensor_tensor_tensor_double_bool_tensor_double)(void* query, void* key, void* value, void* dropout_p, void* is_causal, void* attn_mask, void* scale);
+  HOST_API void* lantern__scaled_dot_product_flash_attention_for_cpu_tensor_tensor_tensor_double_bool_tensor_double(void* query, void* key, void* value, void* dropout_p, void* is_causal, void* attn_mask, void* scale) { LANTERN_CHECK_LOADED void* ret = _lantern__scaled_dot_product_flash_attention_for_cpu_tensor_tensor_tensor_double_bool_tensor_double(query, key, value, dropout_p, is_causal, attn_mask, scale); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__scaled_dot_product_fused_attention_overrideable_tensor_tensor_tensor_tensor_double_bool_bool_double)(void* query, void* key, void* value, void* attn_bias, void* dropout_p, void* is_causal, void* return_debug_mask, void* scale);
+  HOST_API void* lantern__scaled_dot_product_fused_attention_overrideable_tensor_tensor_tensor_tensor_double_bool_bool_double(void* query, void* key, void* value, void* attn_bias, void* dropout_p, void* is_causal, void* return_debug_mask, void* scale) { LANTERN_CHECK_LOADED void* ret = _lantern__scaled_dot_product_fused_attention_overrideable_tensor_tensor_tensor_tensor_double_bool_bool_double(query, key, value, attn_bias, dropout_p, is_causal, return_debug_mask, scale); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__scaled_dot_product_flash_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_tensor_tensor_double)(void* grad_out, void* query, void* key, void* value, void* out, void* logsumexp, void* cum_seq_q, void* cum_seq_k, void* max_q, void* max_k, void* dropout_p, void* is_causal, void* philox_seed, void* philox_offset, void* scale);
+  HOST_API void* lantern__scaled_dot_product_flash_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_tensor_tensor_double(void* grad_out, void* query, void* key, void* value, void* out, void* logsumexp, void* cum_seq_q, void* cum_seq_k, void* max_q, void* max_k, void* dropout_p, void* is_causal, void* philox_seed, void* philox_offset, void* scale) { LANTERN_CHECK_LOADED void* ret = _lantern__scaled_dot_product_flash_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_tensor_tensor_double(grad_out, query, key, value, out, logsumexp, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, philox_seed, philox_offset, scale); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__scaled_dot_product_flash_attention_for_cpu_backward_tensor_tensor_tensor_tensor_tensor_tensor_double_bool_tensor_double)(void* grad_out, void* query, void* key, void* value, void* out, void* logsumexp, void* dropout_p, void* is_causal, void* attn_mask, void* scale);
+  HOST_API void* lantern__scaled_dot_product_flash_attention_for_cpu_backward_tensor_tensor_tensor_tensor_tensor_tensor_double_bool_tensor_double(void* grad_out, void* query, void* key, void* value, void* out, void* logsumexp, void* dropout_p, void* is_causal, void* attn_mask, void* scale) { LANTERN_CHECK_LOADED void* ret = _lantern__scaled_dot_product_flash_attention_for_cpu_backward_tensor_tensor_tensor_tensor_tensor_tensor_double_bool_tensor_double(grad_out, query, key, value, out, logsumexp, dropout_p, is_causal, attn_mask, scale); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__scaled_dot_product_fused_attention_overrideable_backward_tensor_tensor_tensor_tensor_tensor_stdarraybool_tensor_tensor_tensor_tensor_intt_intt_double_bool_tensor_tensor_double)(void* grad_out, void* query, void* key, void* value, void* attn_bias, void* grad_input_mask, void* out, void* logsumexp, void* cum_seq_q, void* cum_seq_k, void* max_q, void* max_k, void* dropout_p, void* is_causal, void* philox_seed, void* philox_offset, void* scale);
+  HOST_API void* lantern__scaled_dot_product_fused_attention_overrideable_backward_tensor_tensor_tensor_tensor_tensor_stdarraybool_tensor_tensor_tensor_tensor_intt_intt_double_bool_tensor_tensor_double(void* grad_out, void* query, void* key, void* value, void* attn_bias, void* grad_input_mask, void* out, void* logsumexp, void* cum_seq_q, void* cum_seq_k, void* max_q, void* max_k, void* dropout_p, void* is_causal, void* philox_seed, void* philox_offset, void* scale) { LANTERN_CHECK_LOADED void* ret = _lantern__scaled_dot_product_fused_attention_overrideable_backward_tensor_tensor_tensor_tensor_tensor_stdarraybool_tensor_tensor_tensor_tensor_intt_intt_double_bool_tensor_tensor_double(grad_out, query, key, value, attn_bias, grad_input_mask, out, logsumexp, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, philox_seed, philox_offset, scale); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__scaled_dot_product_efficient_attention_tensor_tensor_tensor_tensor_bool_double_bool_double)(void* query, void* key, void* value, void* attn_bias, void* compute_log_sumexp, void* dropout_p, void* is_causal, void* scale);
+  HOST_API void* lantern__scaled_dot_product_efficient_attention_tensor_tensor_tensor_tensor_bool_double_bool_double(void* query, void* key, void* value, void* attn_bias, void* compute_log_sumexp, void* dropout_p, void* is_causal, void* scale) { LANTERN_CHECK_LOADED void* ret = _lantern__scaled_dot_product_efficient_attention_tensor_tensor_tensor_tensor_bool_double_bool_double(query, key, value, attn_bias, compute_log_sumexp, dropout_p, is_causal, scale); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__scaled_dot_product_efficient_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_stdarraybool_bool_double)(void* grad_out_, void* query, void* key, void* value, void* attn_bias, void* out, void* logsumexp, void* philox_seed, void* philox_offset, void* dropout_p, void* grad_input_mask, void* is_causal, void* scale);
+  HOST_API void* lantern__scaled_dot_product_efficient_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_stdarraybool_bool_double(void* grad_out_, void* query, void* key, void* value, void* attn_bias, void* out, void* logsumexp, void* philox_seed, void* philox_offset, void* dropout_p, void* grad_input_mask, void* is_causal, void* scale) { LANTERN_CHECK_LOADED void* ret = _lantern__scaled_dot_product_efficient_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_stdarraybool_bool_double(grad_out_, query, key, value, attn_bias, out, logsumexp, philox_seed, philox_offset, dropout_p, grad_input_mask, is_causal, scale); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__scaled_dot_product_cudnn_attention_tensor_tensor_tensor_tensor_bool_double_bool_bool_double)(void* query, void* key, void* value, void* attn_bias, void* compute_log_sumexp, void* dropout_p, void* is_causal, void* return_debug_mask, void* scale);
+  HOST_API void* lantern__scaled_dot_product_cudnn_attention_tensor_tensor_tensor_tensor_bool_double_bool_bool_double(void* query, void* key, void* value, void* attn_bias, void* compute_log_sumexp, void* dropout_p, void* is_causal, void* return_debug_mask, void* scale) { LANTERN_CHECK_LOADED void* ret = _lantern__scaled_dot_product_cudnn_attention_tensor_tensor_tensor_tensor_bool_double_bool_bool_double(query, key, value, attn_bias, compute_log_sumexp, dropout_p, is_causal, return_debug_mask, scale); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__scaled_dot_product_cudnn_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_double)(void* grad_out, void* query, void* key, void* value, void* out, void* logsumexp, void* philox_seed, void* philox_offset, void* attn_bias, void* cum_seq_q, void* cum_seq_k, void* max_q, void* max_k, void* dropout_p, void* is_causal, void* scale);
+  HOST_API void* lantern__scaled_dot_product_cudnn_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_double(void* grad_out, void* query, void* key, void* value, void* out, void* logsumexp, void* philox_seed, void* philox_offset, void* attn_bias, void* cum_seq_q, void* cum_seq_k, void* max_q, void* max_k, void* dropout_p, void* is_causal, void* scale) { LANTERN_CHECK_LOADED void* ret = _lantern__scaled_dot_product_cudnn_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_double(grad_out, query, key, value, out, logsumexp, philox_seed, philox_offset, attn_bias, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, scale); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__flash_attention_forward_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_bool_double_intt_intt_tensor_tensor)(void* query, void* key, void* value, void* cum_seq_q, void* cum_seq_k, void* max_q, void* max_k, void* dropout_p, void* is_causal, void* return_debug_mask, void* scale, void* window_size_left, void* window_size_right, void* seqused_k, void* alibi_slopes);
+  HOST_API void* lantern__flash_attention_forward_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_bool_double_intt_intt_tensor_tensor(void* query, void* key, void* value, void* cum_seq_q, void* cum_seq_k, void* max_q, void* max_k, void* dropout_p, void* is_causal, void* return_debug_mask, void* scale, void* window_size_left, void* window_size_right, void* seqused_k, void* alibi_slopes) { LANTERN_CHECK_LOADED void* ret = _lantern__flash_attention_forward_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_bool_double_intt_intt_tensor_tensor(query, key, value, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, return_debug_mask, scale, window_size_left, window_size_right, seqused_k, alibi_slopes); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__flash_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_tensor_tensor_double_intt_intt)(void* grad_out, void* query, void* key, void* value, void* out, void* logsumexp, void* cum_seq_q, void* cum_seq_k, void* max_q, void* max_k, void* dropout_p, void* is_causal, void* philox_seed, void* philox_offset, void* scale, void* window_size_left, void* window_size_right);
+  HOST_API void* lantern__flash_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_tensor_tensor_double_intt_intt(void* grad_out, void* query, void* key, void* value, void* out, void* logsumexp, void* cum_seq_q, void* cum_seq_k, void* max_q, void* max_k, void* dropout_p, void* is_causal, void* philox_seed, void* philox_offset, void* scale, void* window_size_left, void* window_size_right) { LANTERN_CHECK_LOADED void* ret = _lantern__flash_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_tensor_tensor_double_intt_intt(grad_out, query, key, value, out, logsumexp, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, philox_seed, philox_offset, scale, window_size_left, window_size_right); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__efficient_attention_forward_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_intt_bool_double_tensor_intt)(void* query, void* key, void* value, void* bias, void* cu_seqlens_q, void* cu_seqlens_k, void* max_seqlen_q, void* max_seqlen_k, void* dropout_p, void* custom_mask_type, void* compute_log_sumexp, void* scale, void* seqlen_k, void* window_size);
+  HOST_API void* lantern__efficient_attention_forward_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_intt_bool_double_tensor_intt(void* query, void* key, void* value, void* bias, void* cu_seqlens_q, void* cu_seqlens_k, void* max_seqlen_q, void* max_seqlen_k, void* dropout_p, void* custom_mask_type, void* compute_log_sumexp, void* scale, void* seqlen_k, void* window_size) { LANTERN_CHECK_LOADED void* ret = _lantern__efficient_attention_forward_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_intt_bool_double_tensor_intt(query, key, value, bias, cu_seqlens_q, cu_seqlens_k, max_seqlen_q, max_seqlen_k, dropout_p, custom_mask_type, compute_log_sumexp, scale, seqlen_k, window_size); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__efficient_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_tensor_double_tensor_tensor_intt_bool_double_intt_intt_bool)(void* grad_out_, void* query, void* key, void* value, void* bias, void* out, void* cu_seqlens_q, void* cu_seqlens_k, void* max_seqlen_q, void* max_seqlen_k, void* logsumexp, void* dropout_p, void* philox_seed, void* philox_offset, void* custom_mask_type, void* bias_requires_grad, void* scale, void* num_splits_key, void* window_size, void* shared_storage_dqdkdv);
+  HOST_API void* lantern__efficient_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_tensor_double_tensor_tensor_intt_bool_double_intt_intt_bool(void* grad_out_, void* query, void* key, void* value, void* bias, void* out, void* cu_seqlens_q, void* cu_seqlens_k, void* max_seqlen_q, void* max_seqlen_k, void* logsumexp, void* dropout_p, void* philox_seed, void* philox_offset, void* custom_mask_type, void* bias_requires_grad, void* scale, void* num_splits_key, void* window_size, void* shared_storage_dqdkdv) { LANTERN_CHECK_LOADED void* ret = _lantern__efficient_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_tensor_double_tensor_tensor_intt_bool_double_intt_intt_bool(grad_out_, query, key, value, bias, out, cu_seqlens_q, cu_seqlens_k, max_seqlen_q, max_seqlen_k, logsumexp, dropout_p, philox_seed, philox_offset, custom_mask_type, bias_requires_grad, scale, num_splits_key, window_size, shared_storage_dqdkdv); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__triton_scaled_dot_attention_tensor_tensor_tensor_double)(void* q, void* k, void* v, void* dropout_p);
   HOST_API void* lantern__triton_scaled_dot_attention_tensor_tensor_tensor_double(void* q, void* k, void* v, void* dropout_p) { LANTERN_CHECK_LOADED void* ret = _lantern__triton_scaled_dot_attention_tensor_tensor_tensor_double(q, k, v, dropout_p); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__fill_mem_eff_dropout_mask__tensor_double_intt_intt)(void* self, void* dropout_p, void* seed, void* offset);
+  HOST_API void* lantern__fill_mem_eff_dropout_mask__tensor_double_intt_intt(void* self, void* dropout_p, void* seed, void* offset) { LANTERN_CHECK_LOADED void* ret = _lantern__fill_mem_eff_dropout_mask__tensor_double_intt_intt(self, dropout_p, seed, offset); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__triton_multi_head_attention_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_tensor)(void* query, void* key, void* value, void* embed_dim, void* num_head, void* qkv_weight, void* qkv_bias, void* proj_weight, void* proj_bias, void* mask);
   HOST_API void* lantern__triton_multi_head_attention_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_tensor(void* query, void* key, void* value, void* embed_dim, void* num_head, void* qkv_weight, void* qkv_bias, void* proj_weight, void* proj_bias, void* mask) { LANTERN_CHECK_LOADED void* ret = _lantern__triton_multi_head_attention_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_tensor(query, key, value, embed_dim, num_head, qkv_weight, qkv_bias, proj_weight, proj_bias, mask); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_special_airy_ai_tensor)(void* x);
   HOST_API void* lantern_special_airy_ai_tensor(void* x) { LANTERN_CHECK_LOADED void* ret = _lantern_special_airy_ai_tensor(x); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_special_airy_ai_out_tensor_tensor)(void* out, void* x);
   HOST_API void* lantern_special_airy_ai_out_tensor_tensor(void* out, void* x) { LANTERN_CHECK_LOADED void* ret = _lantern_special_airy_ai_out_tensor_tensor(out, x); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__transformer_decoder_only_layer_fwd_tensor_intt_intt_tensor_tensor_tensor_tensor_bool_bool_double_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor)(void* src, void* embed_dim, void* num_heads, void* qkv_weight, void* qkv_bias, void* proj_weight, void* proj_bias, void* use_gelu, void* norm_first, void* eps, void* norm_weight_1, void* norm_bias_1, void* norm_weight_2, void* norm_bias_2, void* ffn_weight_1, void* ffn_bias_1, void* ffn_weight_2, void* ffn_bias_2, void* mask, void* incr_key, void* incr_value);
-  HOST_API void* lantern__transformer_decoder_only_layer_fwd_tensor_intt_intt_tensor_tensor_tensor_tensor_bool_bool_double_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor(void* src, void* embed_dim, void* num_heads, void* qkv_weight, void* qkv_bias, void* proj_weight, void* proj_bias, void* use_gelu, void* norm_first, void* eps, void* norm_weight_1, void* norm_bias_1, void* norm_weight_2, void* norm_bias_2, void* ffn_weight_1, void* ffn_bias_1, void* ffn_weight_2, void* ffn_bias_2, void* mask, void* incr_key, void* incr_value) { LANTERN_CHECK_LOADED void* ret = _lantern__transformer_decoder_only_layer_fwd_tensor_intt_intt_tensor_tensor_tensor_tensor_bool_bool_double_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor(src, embed_dim, num_heads, qkv_weight, qkv_bias, proj_weight, proj_bias, use_gelu, norm_first, eps, norm_weight_1, norm_bias_1, norm_weight_2, norm_bias_2, ffn_weight_1, ffn_bias_1, ffn_weight_2, ffn_bias_2, mask, incr_key, incr_value); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__native_decoder_only_multi_head_attention_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_bool)(void* query, void* key, void* value, void* embed_dim, void* num_head, void* qkv_weight, void* qkv_bias, void* proj_weight, void* proj_bias, void* mask, void* incr_key, void* incr_value, void* need_weights, void* average_attn_weights);
-  HOST_API void* lantern__native_decoder_only_multi_head_attention_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_bool(void* query, void* key, void* value, void* embed_dim, void* num_head, void* qkv_weight, void* qkv_bias, void* proj_weight, void* proj_bias, void* mask, void* incr_key, void* incr_value, void* need_weights, void* average_attn_weights) { LANTERN_CHECK_LOADED void* ret = _lantern__native_decoder_only_multi_head_attention_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_bool(query, key, value, embed_dim, num_head, qkv_weight, qkv_bias, proj_weight, proj_bias, mask, incr_key, incr_value, need_weights, average_attn_weights); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_special_bessel_j0_tensor)(void* self);
   HOST_API void* lantern_special_bessel_j0_tensor(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern_special_bessel_j0_tensor(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_special_bessel_j0_out_tensor_tensor)(void* out, void* self);
@@ -8642,8 +8890,20 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern__foobar_tensor_bool_bool_bool(void* self, void* arg1, void* arg2, void* arg3) { LANTERN_CHECK_LOADED void* ret = _lantern__foobar_tensor_bool_bool_bool(self, arg1, arg2, arg3); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__fused_adam__tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor)(void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf);
   HOST_API void* lantern__fused_adam__tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor(void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf) { LANTERN_CHECK_LOADED void* ret = _lantern__fused_adam__tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor(self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__fused_adam__tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor)(void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf);
+  HOST_API void* lantern__fused_adam__tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor(void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf) { LANTERN_CHECK_LOADED void* ret = _lantern__fused_adam__tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor(self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__fused_adamw__tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor)(void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf);
   HOST_API void* lantern__fused_adamw__tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor(void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf) { LANTERN_CHECK_LOADED void* ret = _lantern__fused_adamw__tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor(self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__fused_adamw__tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor)(void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf);
+  HOST_API void* lantern__fused_adamw__tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor(void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf) { LANTERN_CHECK_LOADED void* ret = _lantern__fused_adamw__tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor(self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__fused_sgd__tensorlist_tensorlist_tensorlist_double_double_double_double_bool_bool_bool_tensor_tensor)(void* self, void* grads, void* momentum_buffer_list, void* weight_decay, void* momentum, void* lr, void* dampening, void* nesterov, void* maximize, void* is_first_step, void* grad_scale, void* found_inf);
+  HOST_API void* lantern__fused_sgd__tensorlist_tensorlist_tensorlist_double_double_double_double_bool_bool_bool_tensor_tensor(void* self, void* grads, void* momentum_buffer_list, void* weight_decay, void* momentum, void* lr, void* dampening, void* nesterov, void* maximize, void* is_first_step, void* grad_scale, void* found_inf) { LANTERN_CHECK_LOADED void* ret = _lantern__fused_sgd__tensorlist_tensorlist_tensorlist_double_double_double_double_bool_bool_bool_tensor_tensor(self, grads, momentum_buffer_list, weight_decay, momentum, lr, dampening, nesterov, maximize, is_first_step, grad_scale, found_inf); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__fused_sgd__tensorlist_tensorlist_tensorlist_double_double_tensor_double_bool_bool_bool_tensor_tensor)(void* self, void* grads, void* momentum_buffer_list, void* weight_decay, void* momentum, void* lr, void* dampening, void* nesterov, void* maximize, void* is_first_step, void* grad_scale, void* found_inf);
+  HOST_API void* lantern__fused_sgd__tensorlist_tensorlist_tensorlist_double_double_tensor_double_bool_bool_bool_tensor_tensor(void* self, void* grads, void* momentum_buffer_list, void* weight_decay, void* momentum, void* lr, void* dampening, void* nesterov, void* maximize, void* is_first_step, void* grad_scale, void* found_inf) { LANTERN_CHECK_LOADED void* ret = _lantern__fused_sgd__tensorlist_tensorlist_tensorlist_double_double_tensor_double_bool_bool_bool_tensor_tensor(self, grads, momentum_buffer_list, weight_decay, momentum, lr, dampening, nesterov, maximize, is_first_step, grad_scale, found_inf); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__fused_adagrad__tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_tensor_tensor)(void* self, void* grads, void* state_sums, void* state_steps, void* lr, void* lr_decay, void* weight_decay, void* eps, void* maximize, void* grad_scale, void* found_inf);
+  HOST_API void* lantern__fused_adagrad__tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_tensor_tensor(void* self, void* grads, void* state_sums, void* state_steps, void* lr, void* lr_decay, void* weight_decay, void* eps, void* maximize, void* grad_scale, void* found_inf) { LANTERN_CHECK_LOADED void* ret = _lantern__fused_adagrad__tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_tensor_tensor(self, grads, state_sums, state_steps, lr, lr_decay, weight_decay, eps, maximize, grad_scale, found_inf); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__propagate_xla_data_tensor_tensor)(void* input, void* output);
+  HOST_API void* lantern__propagate_xla_data_tensor_tensor(void* input, void* output) { LANTERN_CHECK_LOADED void* ret = _lantern__propagate_xla_data_tensor_tensor(input, output); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__new_zeros_with_same_feature_meta_out_tensor_tensor_tensor_intt)(void* out, void* self, void* other, void* self_num_batch_dims);
   HOST_API void* lantern__new_zeros_with_same_feature_meta_out_tensor_tensor_tensor_intt(void* out, void* self, void* other, void* self_num_batch_dims) { LANTERN_CHECK_LOADED void* ret = _lantern__new_zeros_with_same_feature_meta_out_tensor_tensor_tensor_intt(out, self, other, self_num_batch_dims); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__cudnn_ctc_loss_out_tensor_tensor_tensor_tensor_intarrayref_intarrayref_intt_bool_bool)(void* out0, void* out1, void* log_probs, void* targets, void* input_lengths, void* target_lengths, void* blank, void* deterministic, void* zero_infinity);
@@ -8672,6 +8932,8 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_add_out_tensor_tensor_scalar_scalar(void* out, void* self, void* other, void* alpha) { LANTERN_CHECK_LOADED void* ret = _lantern_add_out_tensor_tensor_scalar_scalar(out, self, other, alpha); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_affine_grid_generator_out_tensor_tensor_intarrayref_bool)(void* out, void* theta, void* size, void* align_corners);
   HOST_API void* lantern_affine_grid_generator_out_tensor_tensor_intarrayref_bool(void* out, void* theta, void* size, void* align_corners) { LANTERN_CHECK_LOADED void* ret = _lantern_affine_grid_generator_out_tensor_tensor_intarrayref_bool(out, theta, size, align_corners); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__test_functorch_fallback_out_tensor_tensor_tensor)(void* out, void* self, void* other);
+  HOST_API void* lantern__test_functorch_fallback_out_tensor_tensor_tensor(void* out, void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__test_functorch_fallback_out_tensor_tensor_tensor(out, self, other); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_bartlett_window_out_tensor_intt)(void* out, void* window_length);
   HOST_API void* lantern_bartlett_window_out_tensor_intt(void* out, void* window_length) { LANTERN_CHECK_LOADED void* ret = _lantern_bartlett_window_out_tensor_intt(out, window_length); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_bartlett_window_out_tensor_intt_bool)(void* out, void* window_length, void* periodic);
@@ -8726,8 +8988,6 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_cudnn_batch_norm_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_double_double(void* out0, void* out1, void* out2, void* out3, void* input, void* weight, void* bias, void* running_mean, void* running_var, void* training, void* exponential_average_factor, void* epsilon) { LANTERN_CHECK_LOADED void* ret = _lantern_cudnn_batch_norm_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_double_double(out0, out1, out2, out3, input, weight, bias, running_mean, running_var, training, exponential_average_factor, epsilon); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_cudnn_batch_norm_backward_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_tensor)(void* out0, void* out1, void* out2, void* input, void* grad_output, void* weight, void* running_mean, void* running_var, void* save_mean, void* save_var, void* epsilon, void* reserveSpace);
   HOST_API void* lantern_cudnn_batch_norm_backward_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_tensor(void* out0, void* out1, void* out2, void* input, void* grad_output, void* weight, void* running_mean, void* running_var, void* save_mean, void* save_var, void* epsilon, void* reserveSpace) { LANTERN_CHECK_LOADED void* ret = _lantern_cudnn_batch_norm_backward_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_tensor(out0, out1, out2, input, grad_output, weight, running_mean, running_var, save_mean, save_var, epsilon, reserveSpace); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_cudnn_convolution_out_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intt_bool_bool_bool)(void* out, void* self, void* weight, void* padding, void* stride, void* dilation, void* groups, void* benchmark, void* deterministic, void* allow_tf32);
-  HOST_API void* lantern_cudnn_convolution_out_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intt_bool_bool_bool(void* out, void* self, void* weight, void* padding, void* stride, void* dilation, void* groups, void* benchmark, void* deterministic, void* allow_tf32) { LANTERN_CHECK_LOADED void* ret = _lantern_cudnn_convolution_out_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intt_bool_bool_bool(out, self, weight, padding, stride, dilation, groups, benchmark, deterministic, allow_tf32); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_cudnn_convolution_transpose_out_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt_bool_bool_bool)(void* out, void* self, void* weight, void* padding, void* output_padding, void* stride, void* dilation, void* groups, void* benchmark, void* deterministic, void* allow_tf32);
   HOST_API void* lantern_cudnn_convolution_transpose_out_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt_bool_bool_bool(void* out, void* self, void* weight, void* padding, void* output_padding, void* stride, void* dilation, void* groups, void* benchmark, void* deterministic, void* allow_tf32) { LANTERN_CHECK_LOADED void* ret = _lantern_cudnn_convolution_transpose_out_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt_bool_bool_bool(out, self, weight, padding, output_padding, stride, dilation, groups, benchmark, deterministic, allow_tf32); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__mps_convolution_transpose_out_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt)(void* out, void* self, void* weight, void* padding, void* output_padding, void* stride, void* dilation, void* groups);
@@ -8774,6 +9034,8 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern__embedding_bag_per_sample_weights_backward_out_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt(void* out, void* grad, void* weight, void* indices, void* offsets, void* offset2bag, void* mode, void* padding_idx) { LANTERN_CHECK_LOADED void* ret = _lantern__embedding_bag_per_sample_weights_backward_out_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt(out, grad, weight, indices, offsets, offset2bag, mode, padding_idx); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_empty_out_tensor_intarrayref_dimnamelist_memoryformat)(void* out, void* size, void* names, void* memory_format);
   HOST_API void* lantern_empty_out_tensor_intarrayref_dimnamelist_memoryformat(void* out, void* size, void* names, void* memory_format) { LANTERN_CHECK_LOADED void* ret = _lantern_empty_out_tensor_intarrayref_dimnamelist_memoryformat(out, size, names, memory_format); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_empty_permuted_out_tensor_intarrayref_intarrayref)(void* out, void* size, void* physical_layout);
+  HOST_API void* lantern_empty_permuted_out_tensor_intarrayref_intarrayref(void* out, void* size, void* physical_layout) { LANTERN_CHECK_LOADED void* ret = _lantern_empty_permuted_out_tensor_intarrayref_intarrayref(out, size, physical_layout); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_new_empty_out_tensor_tensor_intarrayref)(void* out, void* self, void* size);
   HOST_API void* lantern_new_empty_out_tensor_tensor_intarrayref(void* out, void* self, void* size) { LANTERN_CHECK_LOADED void* ret = _lantern_new_empty_out_tensor_tensor_intarrayref(out, self, size); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_new_empty_strided_out_tensor_tensor_intarrayref_intarrayref)(void* out, void* self, void* size, void* stride);
@@ -8806,6 +9068,8 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_fill_out_tensor_tensor_scalar(void* out, void* self, void* value) { LANTERN_CHECK_LOADED void* ret = _lantern_fill_out_tensor_tensor_scalar(out, self, value); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_fill_out_tensor_tensor_tensor)(void* out, void* self, void* value);
   HOST_API void* lantern_fill_out_tensor_tensor_tensor(void* out, void* self, void* value) { LANTERN_CHECK_LOADED void* ret = _lantern_fill_out_tensor_tensor_tensor(out, self, value); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_floor_divide_out_tensor_tensor_scalar)(void* out, void* self, void* other);
+  HOST_API void* lantern_floor_divide_out_tensor_tensor_scalar(void* out, void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern_floor_divide_out_tensor_tensor_scalar(out, self, other); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_full_out_tensor_intarrayref_scalar_dimnamelist)(void* out, void* size, void* fill_value, void* names);
   HOST_API void* lantern_full_out_tensor_intarrayref_scalar_dimnamelist(void* out, void* size, void* fill_value, void* names) { LANTERN_CHECK_LOADED void* ret = _lantern_full_out_tensor_intarrayref_scalar_dimnamelist(out, size, fill_value, names); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_full_like_out_tensor_tensor_scalar_memoryformat)(void* out, void* self, void* fill_value, void* memory_format);
@@ -8844,12 +9108,12 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_native_group_norm_out_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_intt_intt_double(void* out0, void* out1, void* out2, void* input, void* weight, void* bias, void* N, void* C, void* HxW, void* group, void* eps) { LANTERN_CHECK_LOADED void* ret = _lantern_native_group_norm_out_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_intt_intt_double(out0, out1, out2, input, weight, bias, N, C, HxW, group, eps); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_native_group_norm_backward_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_intt_intt_stdarraybool)(void* out0, void* out1, void* out2, void* grad_out, void* input, void* mean, void* rstd, void* weight, void* N, void* C, void* HxW, void* group, void* output_mask);
   HOST_API void* lantern_native_group_norm_backward_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_intt_intt_stdarraybool(void* out0, void* out1, void* out2, void* grad_out, void* input, void* mean, void* rstd, void* weight, void* N, void* C, void* HxW, void* group, void* output_mask) { LANTERN_CHECK_LOADED void* ret = _lantern_native_group_norm_backward_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_intt_intt_stdarraybool(out0, out1, out2, grad_out, input, mean, rstd, weight, N, C, HxW, group, output_mask); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_index_put_out_tensor_tensor_constclistcoptionaltensor_tensor_bool)(void* out, void* self, void* indices, void* values, void* accumulate);
-  HOST_API void* lantern_index_put_out_tensor_tensor_constclistcoptionaltensor_tensor_bool(void* out, void* self, void* indices, void* values, void* accumulate) { LANTERN_CHECK_LOADED void* ret = _lantern_index_put_out_tensor_tensor_constclistcoptionaltensor_tensor_bool(out, self, indices, values, accumulate); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__index_put_impl_out_tensor_tensor_constclistcoptionaltensor_tensor_bool_bool)(void* out, void* self, void* indices, void* values, void* accumulate, void* unsafe);
-  HOST_API void* lantern__index_put_impl_out_tensor_tensor_constclistcoptionaltensor_tensor_bool_bool(void* out, void* self, void* indices, void* values, void* accumulate, void* unsafe) { LANTERN_CHECK_LOADED void* ret = _lantern__index_put_impl_out_tensor_tensor_constclistcoptionaltensor_tensor_bool_bool(out, self, indices, values, accumulate, unsafe); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__index_put_impl_tensor_constclistcoptionaltensor_tensor_bool_bool)(void* self, void* indices, void* values, void* accumulate, void* unsafe);
-  HOST_API void* lantern__index_put_impl_tensor_constclistcoptionaltensor_tensor_bool_bool(void* self, void* indices, void* values, void* accumulate, void* unsafe) { LANTERN_CHECK_LOADED void* ret = _lantern__index_put_impl_tensor_constclistcoptionaltensor_tensor_bool_bool(self, indices, values, accumulate, unsafe); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_index_put_out_tensor_tensor_constcliststdoptionaltensor_tensor_bool)(void* out, void* self, void* indices, void* values, void* accumulate);
+  HOST_API void* lantern_index_put_out_tensor_tensor_constcliststdoptionaltensor_tensor_bool(void* out, void* self, void* indices, void* values, void* accumulate) { LANTERN_CHECK_LOADED void* ret = _lantern_index_put_out_tensor_tensor_constcliststdoptionaltensor_tensor_bool(out, self, indices, values, accumulate); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__index_put_impl_out_tensor_tensor_constcliststdoptionaltensor_tensor_bool_bool)(void* out, void* self, void* indices, void* values, void* accumulate, void* unsafe);
+  HOST_API void* lantern__index_put_impl_out_tensor_tensor_constcliststdoptionaltensor_tensor_bool_bool(void* out, void* self, void* indices, void* values, void* accumulate, void* unsafe) { LANTERN_CHECK_LOADED void* ret = _lantern__index_put_impl_out_tensor_tensor_constcliststdoptionaltensor_tensor_bool_bool(out, self, indices, values, accumulate, unsafe); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__index_put_impl_tensor_constcliststdoptionaltensor_tensor_bool_bool)(void* self, void* indices, void* values, void* accumulate, void* unsafe);
+  HOST_API void* lantern__index_put_impl_tensor_constcliststdoptionaltensor_tensor_bool_bool(void* self, void* indices, void* values, void* accumulate, void* unsafe) { LANTERN_CHECK_LOADED void* ret = _lantern__index_put_impl_tensor_constcliststdoptionaltensor_tensor_bool_bool(self, indices, values, accumulate, unsafe); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_isnan_out_tensor_tensor)(void* out, void* self);
   HOST_API void* lantern_isnan_out_tensor_tensor(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern_isnan_out_tensor_tensor(out, self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_native_layer_norm_out_tensor_tensor_tensor_tensor_intarrayref_tensor_tensor_double)(void* out0, void* out1, void* out2, void* input, void* normalized_shape, void* weight, void* bias, void* eps);
@@ -8886,6 +9150,8 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_quantized_max_pool1d_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool(void* out, void* self, void* kernel_size, void* stride, void* padding, void* dilation, void* ceil_mode) { LANTERN_CHECK_LOADED void* ret = _lantern_quantized_max_pool1d_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool(out, self, kernel_size, stride, padding, dilation, ceil_mode); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_quantized_max_pool2d_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool)(void* out, void* self, void* kernel_size, void* stride, void* padding, void* dilation, void* ceil_mode);
   HOST_API void* lantern_quantized_max_pool2d_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool(void* out, void* self, void* kernel_size, void* stride, void* padding, void* dilation, void* ceil_mode) { LANTERN_CHECK_LOADED void* ret = _lantern_quantized_max_pool2d_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool(out, self, kernel_size, stride, padding, dilation, ceil_mode); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_quantized_max_pool3d_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool)(void* out, void* self, void* kernel_size, void* stride, void* padding, void* dilation, void* ceil_mode);
+  HOST_API void* lantern_quantized_max_pool3d_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool(void* out, void* self, void* kernel_size, void* stride, void* padding, void* dilation, void* ceil_mode) { LANTERN_CHECK_LOADED void* ret = _lantern_quantized_max_pool3d_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool(out, self, kernel_size, stride, padding, dilation, ceil_mode); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_median_out_tensor_tensor)(void* out, void* self);
   HOST_API void* lantern_median_out_tensor_tensor(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern_median_out_tensor_tensor(out, self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_nanmedian_out_tensor_tensor)(void* out, void* self);
@@ -8920,6 +9186,8 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_mul_out_tensor_tensor_scalar(void* out, void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern_mul_out_tensor_tensor_scalar(out, self, other); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__native_batch_norm_legit_functional_tensor_tensor_tensor_tensor_tensor_bool_double_double)(void* input, void* weight, void* bias, void* running_mean, void* running_var, void* training, void* momentum, void* eps);
   HOST_API void* lantern__native_batch_norm_legit_functional_tensor_tensor_tensor_tensor_tensor_bool_double_double(void* input, void* weight, void* bias, void* running_mean, void* running_var, void* training, void* momentum, void* eps) { LANTERN_CHECK_LOADED void* ret = _lantern__native_batch_norm_legit_functional_tensor_tensor_tensor_tensor_tensor_bool_double_double(input, weight, bias, running_mean, running_var, training, momentum, eps); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__native_batch_norm_legit_no_training_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_double)(void* out0, void* out1, void* out2, void* input, void* weight, void* bias, void* running_mean, void* running_var, void* momentum, void* eps);
+  HOST_API void* lantern__native_batch_norm_legit_no_training_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_double(void* out0, void* out1, void* out2, void* input, void* weight, void* bias, void* running_mean, void* running_var, void* momentum, void* eps) { LANTERN_CHECK_LOADED void* ret = _lantern__native_batch_norm_legit_no_training_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_double(out0, out1, out2, input, weight, bias, running_mean, running_var, momentum, eps); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_batch_norm_stats_out_tensor_tensor_tensor_double)(void* out0, void* out1, void* input, void* eps);
   HOST_API void* lantern_batch_norm_stats_out_tensor_tensor_tensor_double(void* out0, void* out1, void* input, void* eps) { LANTERN_CHECK_LOADED void* ret = _lantern_batch_norm_stats_out_tensor_tensor_tensor_double(out0, out1, input, eps); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_batch_norm_gather_stats_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_double_intt)(void* out0, void* out1, void* input, void* mean, void* invstd, void* running_mean, void* running_var, void* momentum, void* eps, void* count);
@@ -8930,8 +9198,8 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_native_batch_norm_backward_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_double_stdarraybool(void* out0, void* out1, void* out2, void* grad_out, void* input, void* weight, void* running_mean, void* running_var, void* save_mean, void* save_invstd, void* train, void* eps, void* output_mask) { LANTERN_CHECK_LOADED void* ret = _lantern_native_batch_norm_backward_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_double_stdarraybool(out0, out1, out2, grad_out, input, weight, running_mean, running_var, save_mean, save_invstd, train, eps, output_mask); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_batch_norm_backward_reduce_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_bool_bool)(void* out0, void* out1, void* out2, void* out3, void* grad_out, void* input, void* mean, void* invstd, void* weight, void* input_g, void* weight_g, void* bias_g);
   HOST_API void* lantern_batch_norm_backward_reduce_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_bool_bool(void* out0, void* out1, void* out2, void* out3, void* grad_out, void* input, void* mean, void* invstd, void* weight, void* input_g, void* weight_g, void* bias_g) { LANTERN_CHECK_LOADED void* ret = _lantern_batch_norm_backward_reduce_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_bool_bool(out0, out1, out2, out3, grad_out, input, mean, invstd, weight, input_g, weight_g, bias_g); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_batch_norm_backward_elemt_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor)(void* out, void* grad_out, void* input, void* mean, void* invstd, void* weight, void* mean_dy, void* mean_dy_xmu, void* count);
-  HOST_API void* lantern_batch_norm_backward_elemt_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor(void* out, void* grad_out, void* input, void* mean, void* invstd, void* weight, void* mean_dy, void* mean_dy_xmu, void* count) { LANTERN_CHECK_LOADED void* ret = _lantern_batch_norm_backward_elemt_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor(out, grad_out, input, mean, invstd, weight, mean_dy, mean_dy_xmu, count); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_batch_norm_backward_elemt_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor)(void* out, void* grad_out, void* input, void* mean, void* invstd, void* weight, void* sum_dy, void* sum_dy_xmu, void* count);
+  HOST_API void* lantern_batch_norm_backward_elemt_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor(void* out, void* grad_out, void* input, void* mean, void* invstd, void* weight, void* sum_dy, void* sum_dy_xmu, void* count) { LANTERN_CHECK_LOADED void* ret = _lantern_batch_norm_backward_elemt_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor(out, grad_out, input, mean, invstd, weight, sum_dy, sum_dy_xmu, count); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_batch_norm_update_stats_out_tensor_tensor_tensor_tensor_tensor_double)(void* out0, void* out1, void* input, void* running_mean, void* running_var, void* momentum);
   HOST_API void* lantern_batch_norm_update_stats_out_tensor_tensor_tensor_tensor_tensor_double(void* out0, void* out1, void* input, void* running_mean, void* running_var, void* momentum) { LANTERN_CHECK_LOADED void* ret = _lantern_batch_norm_update_stats_out_tensor_tensor_tensor_tensor_tensor_double(out0, out1, input, running_mean, running_var, momentum); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__nnpack_spatial_convolution_out_tensor_tensor_tensor_tensor_intarrayref_intarrayref)(void* out, void* input, void* weight, void* bias, void* padding, void* stride);
@@ -9004,8 +9272,8 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_unsafe_split_with_sizes_out_tensorlist_tensor_intarrayref_intt(void* out, void* self, void* split_sizes, void* dim) { LANTERN_CHECK_LOADED void* ret = _lantern_unsafe_split_with_sizes_out_tensorlist_tensor_intarrayref_intt(out, self, split_sizes, dim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_sum_out_tensor_tensor_scalartype)(void* out, void* self, void* dtype);
   HOST_API void* lantern_sum_out_tensor_tensor_scalartype(void* out, void* self, void* dtype) { LANTERN_CHECK_LOADED void* ret = _lantern_sum_out_tensor_tensor_scalartype(out, self, dtype); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_std_mean_out_tensor_tensor_tensor_intarrayref_intt_bool)(void* out0, void* out1, void* self, void* dim, void* correction, void* keepdim);
-  HOST_API void* lantern_std_mean_out_tensor_tensor_tensor_intarrayref_intt_bool(void* out0, void* out1, void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_std_mean_out_tensor_tensor_tensor_intarrayref_intt_bool(out0, out1, self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_std_mean_out_tensor_tensor_tensor_intarrayref_scalar_bool)(void* out0, void* out1, void* self, void* dim, void* correction, void* keepdim);
+  HOST_API void* lantern_std_mean_out_tensor_tensor_tensor_intarrayref_scalar_bool(void* out0, void* out1, void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_std_mean_out_tensor_tensor_tensor_intarrayref_scalar_bool(out0, out1, self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_prod_out_tensor_tensor_scalartype)(void* out, void* self, void* dtype);
   HOST_API void* lantern_prod_out_tensor_tensor_scalartype(void* out, void* self, void* dtype) { LANTERN_CHECK_LOADED void* ret = _lantern_prod_out_tensor_tensor_scalartype(out, self, dtype); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__mkldnn_transpose_out_tensor_tensor_intt_intt)(void* out, void* self, void* dim0, void* dim1);
@@ -9026,10 +9294,16 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern__nested_tensor_size_out_tensor_tensor(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_tensor_size_out_tensor_tensor(out, self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__nested_tensor_strides_out_tensor_tensor)(void* out, void* self);
   HOST_API void* lantern__nested_tensor_strides_out_tensor_tensor(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_tensor_strides_out_tensor_tensor(out, self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__nested_tensor_storage_offsets_out_tensor_tensor)(void* out, void* self);
+  HOST_API void* lantern__nested_tensor_storage_offsets_out_tensor_tensor(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_tensor_storage_offsets_out_tensor_tensor(out, self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__nested_from_padded_and_nested_example_out_tensor_tensor_tensor)(void* out, void* padded, void* nt_example);
   HOST_API void* lantern__nested_from_padded_and_nested_example_out_tensor_tensor_tensor(void* out, void* padded, void* nt_example) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_from_padded_and_nested_example_out_tensor_tensor_tensor(out, padded, nt_example); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__nested_view_from_buffer_copy_out_tensor_tensor_tensor_tensor_intarrayref)(void* out, void* self, void* nested_size, void* nested_strides, void* offsets);
-  HOST_API void* lantern__nested_view_from_buffer_copy_out_tensor_tensor_tensor_tensor_intarrayref(void* out, void* self, void* nested_size, void* nested_strides, void* offsets) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_view_from_buffer_copy_out_tensor_tensor_tensor_tensor_intarrayref(out, self, nested_size, nested_strides, offsets); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__nested_view_from_buffer_copy_out_tensor_tensor_tensor_tensor_tensor)(void* out, void* self, void* nested_size, void* nested_strides, void* offsets);
+  HOST_API void* lantern__nested_view_from_buffer_copy_out_tensor_tensor_tensor_tensor_tensor(void* out, void* self, void* nested_size, void* nested_strides, void* offsets) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_view_from_buffer_copy_out_tensor_tensor_tensor_tensor_tensor(out, self, nested_size, nested_strides, offsets); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__nested_view_from_jagged_copy_out_tensor_tensor_tensor_tensor_tensor_intt_tensor_tensor)(void* out, void* self, void* offsets, void* dummy, void* lengths, void* ragged_idx, void* min_seqlen, void* max_seqlen);
+  HOST_API void* lantern__nested_view_from_jagged_copy_out_tensor_tensor_tensor_tensor_tensor_intt_tensor_tensor(void* out, void* self, void* offsets, void* dummy, void* lengths, void* ragged_idx, void* min_seqlen, void* max_seqlen) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_view_from_jagged_copy_out_tensor_tensor_tensor_tensor_tensor_intt_tensor_tensor(out, self, offsets, dummy, lengths, ragged_idx, min_seqlen, max_seqlen); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__nested_get_values_copy_out_tensor_tensor)(void* out, void* self);
+  HOST_API void* lantern__nested_get_values_copy_out_tensor_tensor(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_get_values_copy_out_tensor_tensor(out, self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__trilinear_out_tensor_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt)(void* out, void* i1, void* i2, void* i3, void* expand1, void* expand2, void* expand3, void* sumdim, void* unroll_dim);
   HOST_API void* lantern__trilinear_out_tensor_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt(void* out, void* i1, void* i2, void* i3, void* expand1, void* expand2, void* expand3, void* sumdim, void* unroll_dim) { LANTERN_CHECK_LOADED void* ret = _lantern__trilinear_out_tensor_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt(out, i1, i2, i3, expand1, expand2, expand3, sumdim, unroll_dim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__unique_out_tensor_tensor_tensor_bool_bool)(void* out0, void* out1, void* self, void* sorted, void* return_inverse);
@@ -9044,8 +9318,8 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern__unique2_out_tensor_tensor_tensor_tensor_bool_bool_bool(void* out0, void* out1, void* out2, void* self, void* sorted, void* return_inverse, void* return_counts) { LANTERN_CHECK_LOADED void* ret = _lantern__unique2_out_tensor_tensor_tensor_tensor_bool_bool_bool(out0, out1, out2, self, sorted, return_inverse, return_counts); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__unsafe_view_out_tensor_tensor_intarrayref)(void* out, void* self, void* size);
   HOST_API void* lantern__unsafe_view_out_tensor_tensor_intarrayref(void* out, void* self, void* size) { LANTERN_CHECK_LOADED void* ret = _lantern__unsafe_view_out_tensor_tensor_intarrayref(out, self, size); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_var_mean_out_tensor_tensor_tensor_intarrayref_intt_bool)(void* out0, void* out1, void* self, void* dim, void* correction, void* keepdim);
-  HOST_API void* lantern_var_mean_out_tensor_tensor_tensor_intarrayref_intt_bool(void* out0, void* out1, void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_var_mean_out_tensor_tensor_tensor_intarrayref_intt_bool(out0, out1, self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_var_mean_out_tensor_tensor_tensor_intarrayref_scalar_bool)(void* out0, void* out1, void* self, void* dim, void* correction, void* keepdim);
+  HOST_API void* lantern_var_mean_out_tensor_tensor_tensor_intarrayref_scalar_bool(void* out0, void* out1, void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_var_mean_out_tensor_tensor_tensor_intarrayref_scalar_bool(out0, out1, self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__weight_norm_interface_out_tensor_tensor_tensor_tensor_intt)(void* out0, void* out1, void* v, void* g, void* dim);
   HOST_API void* lantern__weight_norm_interface_out_tensor_tensor_tensor_tensor_intt(void* out0, void* out1, void* v, void* g, void* dim) { LANTERN_CHECK_LOADED void* ret = _lantern__weight_norm_interface_out_tensor_tensor_tensor_tensor_intt(out0, out1, v, g, dim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__weight_norm_interface_backward_out_tensor_tensor_tensor_tensor_tensor_tensor_intt)(void* out0, void* out1, void* grad_w, void* saved_v, void* saved_g, void* saved_norms, void* dim);
@@ -9072,6 +9346,10 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_native_norm_out_tensor_tensor_scalar(void* out, void* self, void* p) { LANTERN_CHECK_LOADED void* ret = _lantern_native_norm_out_tensor_tensor_scalar(out, self, p); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_native_norm_out_tensor_tensor_scalar_intarrayref_bool_scalartype)(void* out, void* self, void* p, void* dim, void* keepdim, void* dtype);
   HOST_API void* lantern_native_norm_out_tensor_tensor_scalar_intarrayref_bool_scalartype(void* out, void* self, void* p, void* dim, void* keepdim, void* dtype) { LANTERN_CHECK_LOADED void* ret = _lantern_native_norm_out_tensor_tensor_scalar_intarrayref_bool_scalartype(out, self, p, dim, keepdim, dtype); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__batch_norm_with_update_functional_tensor_tensor_tensor_tensor_tensor_double_double)(void* input, void* weight, void* bias, void* running_mean, void* running_var, void* momentum, void* eps);
+  HOST_API void* lantern__batch_norm_with_update_functional_tensor_tensor_tensor_tensor_tensor_double_double(void* input, void* weight, void* bias, void* running_mean, void* running_var, void* momentum, void* eps) { LANTERN_CHECK_LOADED void* ret = _lantern__batch_norm_with_update_functional_tensor_tensor_tensor_tensor_tensor_double_double(input, weight, bias, running_mean, running_var, momentum, eps); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__batch_norm_no_update_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_double)(void* out0, void* out1, void* out2, void* out3, void* input, void* weight, void* bias, void* running_mean, void* running_var, void* momentum, void* eps);
+  HOST_API void* lantern__batch_norm_no_update_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_double(void* out0, void* out1, void* out2, void* out3, void* input, void* weight, void* bias, void* running_mean, void* running_var, void* momentum, void* eps) { LANTERN_CHECK_LOADED void* ret = _lantern__batch_norm_no_update_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_double(out0, out1, out2, out3, input, weight, bias, running_mean, running_var, momentum, eps); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__sparse_sum_out_tensor_tensor_intarrayref)(void* out, void* self, void* dim);
   HOST_API void* lantern__sparse_sum_out_tensor_tensor_intarrayref(void* out, void* self, void* dim) { LANTERN_CHECK_LOADED void* ret = _lantern__sparse_sum_out_tensor_tensor_intarrayref(out, self, dim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__sparse_sum_backward_out_tensor_tensor_tensor_intarrayref)(void* out, void* grad, void* self, void* dim);
@@ -9120,8 +9398,8 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_sparse_coo_tensor_out_tensor_intarrayref(void* out, void* size) { LANTERN_CHECK_LOADED void* ret = _lantern_sparse_coo_tensor_out_tensor_intarrayref(out, size); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__sparse_coo_tensor_with_dims_out_tensor_intt_intt_intarrayref)(void* out, void* sparse_dim, void* dense_dim, void* size);
   HOST_API void* lantern__sparse_coo_tensor_with_dims_out_tensor_intt_intt_intarrayref(void* out, void* sparse_dim, void* dense_dim, void* size) { LANTERN_CHECK_LOADED void* ret = _lantern__sparse_coo_tensor_with_dims_out_tensor_intt_intt_intarrayref(out, sparse_dim, dense_dim, size); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__sparse_coo_tensor_with_dims_and_tensors_out_tensor_intt_intt_intarrayref_tensor_tensor)(void* out, void* sparse_dim, void* dense_dim, void* size, void* indices, void* values);
-  HOST_API void* lantern__sparse_coo_tensor_with_dims_and_tensors_out_tensor_intt_intt_intarrayref_tensor_tensor(void* out, void* sparse_dim, void* dense_dim, void* size, void* indices, void* values) { LANTERN_CHECK_LOADED void* ret = _lantern__sparse_coo_tensor_with_dims_and_tensors_out_tensor_intt_intt_intarrayref_tensor_tensor(out, sparse_dim, dense_dim, size, indices, values); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__sparse_coo_tensor_with_dims_and_tensors_out_tensor_intt_intt_intarrayref_tensor_tensor_bool)(void* out, void* sparse_dim, void* dense_dim, void* size, void* indices, void* values, void* is_coalesced);
+  HOST_API void* lantern__sparse_coo_tensor_with_dims_and_tensors_out_tensor_intt_intt_intarrayref_tensor_tensor_bool(void* out, void* sparse_dim, void* dense_dim, void* size, void* indices, void* values, void* is_coalesced) { LANTERN_CHECK_LOADED void* ret = _lantern__sparse_coo_tensor_with_dims_and_tensors_out_tensor_intt_intt_intarrayref_tensor_tensor_bool(out, sparse_dim, dense_dim, size, indices, values, is_coalesced); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_sparse_resize_out_tensor_tensor_intarrayref_intt_intt)(void* out, void* self, void* size, void* sparse_dim, void* dense_dim);
   HOST_API void* lantern_sparse_resize_out_tensor_tensor_intarrayref_intt_intt(void* out, void* self, void* size, void* sparse_dim, void* dense_dim) { LANTERN_CHECK_LOADED void* ret = _lantern_sparse_resize_out_tensor_tensor_intarrayref_intt_intt(out, self, size, sparse_dim, dense_dim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_sparse_resize_tensor_intarrayref_intt_intt)(void* self, void* size, void* sparse_dim, void* dense_dim);
@@ -9132,8 +9410,10 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_sparse_resize_and_clear_tensor_intarrayref_intt_intt(void* self, void* size, void* sparse_dim, void* dense_dim) { LANTERN_CHECK_LOADED void* ret = _lantern_sparse_resize_and_clear_tensor_intarrayref_intt_intt(self, size, sparse_dim, dense_dim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_sparse_mask_out_tensor_tensor_tensor)(void* out, void* self, void* mask);
   HOST_API void* lantern_sparse_mask_out_tensor_tensor_tensor(void* out, void* self, void* mask) { LANTERN_CHECK_LOADED void* ret = _lantern_sparse_mask_out_tensor_tensor_tensor(out, self, mask); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__to_dense_out_tensor_tensor_scalartype)(void* out, void* self, void* dtype);
-  HOST_API void* lantern__to_dense_out_tensor_tensor_scalartype(void* out, void* self, void* dtype) { LANTERN_CHECK_LOADED void* ret = _lantern__to_dense_out_tensor_tensor_scalartype(out, self, dtype); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__sparse_mask_projection_out_tensor_tensor_tensor_bool)(void* out, void* self, void* mask, void* accumulate_matches);
+  HOST_API void* lantern__sparse_mask_projection_out_tensor_tensor_tensor_bool(void* out, void* self, void* mask, void* accumulate_matches) { LANTERN_CHECK_LOADED void* ret = _lantern__sparse_mask_projection_out_tensor_tensor_tensor_bool(out, self, mask, accumulate_matches); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__to_dense_out_tensor_tensor_scalartype_bool)(void* out, void* self, void* dtype, void* masked_grad);
+  HOST_API void* lantern__to_dense_out_tensor_tensor_scalartype_bool(void* out, void* self, void* dtype, void* masked_grad) { LANTERN_CHECK_LOADED void* ret = _lantern__to_dense_out_tensor_tensor_scalartype_bool(out, self, dtype, masked_grad); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__coalesce_out_tensor_tensor)(void* out, void* self);
   HOST_API void* lantern__coalesce_out_tensor_tensor(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__coalesce_out_tensor_tensor(out, self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__coalesced_out_tensor_tensor_bool)(void* out, void* self, void* coalesced);
@@ -9144,24 +9424,24 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_copy_sparse_to_sparse_out_tensor_tensor_tensor_bool(void* out, void* self, void* src, void* non_blocking) { LANTERN_CHECK_LOADED void* ret = _lantern_copy_sparse_to_sparse_out_tensor_tensor_tensor_bool(out, self, src, non_blocking); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_copy_sparse_to_sparse_tensor_tensor_bool)(void* self, void* src, void* non_blocking);
   HOST_API void* lantern_copy_sparse_to_sparse_tensor_tensor_bool(void* self, void* src, void* non_blocking) { LANTERN_CHECK_LOADED void* ret = _lantern_copy_sparse_to_sparse_tensor_tensor_bool(self, src, non_blocking); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_to_sparse_out_tensor_tensor_intt)(void* out, void* self, void* sparse_dim);
-  HOST_API void* lantern_to_sparse_out_tensor_tensor_intt(void* out, void* self, void* sparse_dim) { LANTERN_CHECK_LOADED void* ret = _lantern_to_sparse_out_tensor_tensor_intt(out, self, sparse_dim); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_to_sparse_out_tensor_tensor_layout_intarrayref_intt)(void* out, void* self, void* layout, void* blocksize, void* dense_dim);
-  HOST_API void* lantern_to_sparse_out_tensor_tensor_layout_intarrayref_intt(void* out, void* self, void* layout, void* blocksize, void* dense_dim) { LANTERN_CHECK_LOADED void* ret = _lantern_to_sparse_out_tensor_tensor_layout_intarrayref_intt(out, self, layout, blocksize, dense_dim); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_to_sparse_csr_out_tensor_tensor_intt)(void* out, void* self, void* dense_dim);
-  HOST_API void* lantern_to_sparse_csr_out_tensor_tensor_intt(void* out, void* self, void* dense_dim) { LANTERN_CHECK_LOADED void* ret = _lantern_to_sparse_csr_out_tensor_tensor_intt(out, self, dense_dim); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_to_sparse_csc_out_tensor_tensor_intt)(void* out, void* self, void* dense_dim);
-  HOST_API void* lantern_to_sparse_csc_out_tensor_tensor_intt(void* out, void* self, void* dense_dim) { LANTERN_CHECK_LOADED void* ret = _lantern_to_sparse_csc_out_tensor_tensor_intt(out, self, dense_dim); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_to_sparse_bsr_out_tensor_tensor_intarrayref_intt)(void* out, void* self, void* blocksize, void* dense_dim);
-  HOST_API void* lantern_to_sparse_bsr_out_tensor_tensor_intarrayref_intt(void* out, void* self, void* blocksize, void* dense_dim) { LANTERN_CHECK_LOADED void* ret = _lantern_to_sparse_bsr_out_tensor_tensor_intarrayref_intt(out, self, blocksize, dense_dim); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_to_sparse_bsc_out_tensor_tensor_intarrayref_intt)(void* out, void* self, void* blocksize, void* dense_dim);
-  HOST_API void* lantern_to_sparse_bsc_out_tensor_tensor_intarrayref_intt(void* out, void* self, void* blocksize, void* dense_dim) { LANTERN_CHECK_LOADED void* ret = _lantern_to_sparse_bsc_out_tensor_tensor_intarrayref_intt(out, self, blocksize, dense_dim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__to_sparse_out_tensor_tensor_intt)(void* out, void* self, void* sparse_dim);
+  HOST_API void* lantern__to_sparse_out_tensor_tensor_intt(void* out, void* self, void* sparse_dim) { LANTERN_CHECK_LOADED void* ret = _lantern__to_sparse_out_tensor_tensor_intt(out, self, sparse_dim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__to_sparse_out_tensor_tensor_layout_intarrayref_intt)(void* out, void* self, void* layout, void* blocksize, void* dense_dim);
+  HOST_API void* lantern__to_sparse_out_tensor_tensor_layout_intarrayref_intt(void* out, void* self, void* layout, void* blocksize, void* dense_dim) { LANTERN_CHECK_LOADED void* ret = _lantern__to_sparse_out_tensor_tensor_layout_intarrayref_intt(out, self, layout, blocksize, dense_dim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__to_sparse_csr_out_tensor_tensor_intt)(void* out, void* self, void* dense_dim);
+  HOST_API void* lantern__to_sparse_csr_out_tensor_tensor_intt(void* out, void* self, void* dense_dim) { LANTERN_CHECK_LOADED void* ret = _lantern__to_sparse_csr_out_tensor_tensor_intt(out, self, dense_dim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__to_sparse_csc_out_tensor_tensor_intt)(void* out, void* self, void* dense_dim);
+  HOST_API void* lantern__to_sparse_csc_out_tensor_tensor_intt(void* out, void* self, void* dense_dim) { LANTERN_CHECK_LOADED void* ret = _lantern__to_sparse_csc_out_tensor_tensor_intt(out, self, dense_dim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__to_sparse_bsr_out_tensor_tensor_intarrayref_intt)(void* out, void* self, void* blocksize, void* dense_dim);
+  HOST_API void* lantern__to_sparse_bsr_out_tensor_tensor_intarrayref_intt(void* out, void* self, void* blocksize, void* dense_dim) { LANTERN_CHECK_LOADED void* ret = _lantern__to_sparse_bsr_out_tensor_tensor_intarrayref_intt(out, self, blocksize, dense_dim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__to_sparse_bsc_out_tensor_tensor_intarrayref_intt)(void* out, void* self, void* blocksize, void* dense_dim);
+  HOST_API void* lantern__to_sparse_bsc_out_tensor_tensor_intarrayref_intt(void* out, void* self, void* blocksize, void* dense_dim) { LANTERN_CHECK_LOADED void* ret = _lantern__to_sparse_bsc_out_tensor_tensor_intarrayref_intt(out, self, blocksize, dense_dim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_to_mkldnn_out_tensor_tensor_scalartype)(void* out, void* self, void* dtype);
   HOST_API void* lantern_to_mkldnn_out_tensor_tensor_scalartype(void* out, void* self, void* dtype) { LANTERN_CHECK_LOADED void* ret = _lantern_to_mkldnn_out_tensor_tensor_scalartype(out, self, dtype); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_mkldnn_reorder_conv2d_weight_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intt_intarrayref)(void* out, void* self, void* padding, void* stride, void* dilation, void* groups, void* input_size);
   HOST_API void* lantern_mkldnn_reorder_conv2d_weight_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intt_intarrayref(void* out, void* self, void* padding, void* stride, void* dilation, void* groups, void* input_size) { LANTERN_CHECK_LOADED void* ret = _lantern_mkldnn_reorder_conv2d_weight_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intt_intarrayref(out, self, padding, stride, dilation, groups, input_size); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_mkldnn_reorder_conv3d_weight_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intt)(void* out, void* self, void* padding, void* stride, void* dilation, void* groups);
-  HOST_API void* lantern_mkldnn_reorder_conv3d_weight_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intt(void* out, void* self, void* padding, void* stride, void* dilation, void* groups) { LANTERN_CHECK_LOADED void* ret = _lantern_mkldnn_reorder_conv3d_weight_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intt(out, self, padding, stride, dilation, groups); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_mkldnn_reorder_conv3d_weight_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intt_intarrayref)(void* out, void* self, void* padding, void* stride, void* dilation, void* groups, void* input_size);
+  HOST_API void* lantern_mkldnn_reorder_conv3d_weight_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intt_intarrayref(void* out, void* self, void* padding, void* stride, void* dilation, void* groups, void* input_size) { LANTERN_CHECK_LOADED void* ret = _lantern_mkldnn_reorder_conv3d_weight_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intt_intarrayref(out, self, padding, stride, dilation, groups, input_size); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_quantize_per_tensor_dynamic_out_tensor_tensor_scalartype_bool)(void* out, void* self, void* dtype, void* reduce_range);
   HOST_API void* lantern_quantize_per_tensor_dynamic_out_tensor_tensor_scalartype_bool(void* out, void* self, void* dtype, void* reduce_range) { LANTERN_CHECK_LOADED void* ret = _lantern_quantize_per_tensor_dynamic_out_tensor_tensor_scalartype_bool(out, self, dtype, reduce_range); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_quantize_per_tensor_out_tensor_tensor_double_intt_scalartype)(void* out, void* self, void* scale, void* zero_point, void* dtype);
@@ -9320,8 +9600,6 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern__histogramdd_from_bin_tensors_out_tensor_tensor_tensorlist_tensor_bool(void* out, void* self, void* bins, void* weight, void* density) { LANTERN_CHECK_LOADED void* ret = _lantern__histogramdd_from_bin_tensors_out_tensor_tensor_tensorlist_tensor_bool(out, self, bins, weight, density); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_remainder_out_tensor_scalar_tensor)(void* out, void* self, void* other);
   HOST_API void* lantern_remainder_out_tensor_scalar_tensor(void* out, void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern_remainder_out_tensor_scalar_tensor(out, self, other); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_argsort_out_tensor_tensor_bool_intt_bool)(void* out, void* self, void* stable, void* dim, void* descending);
-  HOST_API void* lantern_argsort_out_tensor_tensor_bool_intt_bool(void* out, void* self, void* stable, void* dim, void* descending) { LANTERN_CHECK_LOADED void* ret = _lantern_argsort_out_tensor_tensor_bool_intt_bool(out, self, stable, dim, descending); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_unfold_backward_out_tensor_tensor_intarrayref_intt_intt_intt)(void* out, void* grad_in, void* input_sizes, void* dim, void* size, void* step);
   HOST_API void* lantern_unfold_backward_out_tensor_tensor_intarrayref_intt_intt_intt(void* out, void* grad_in, void* input_sizes, void* dim, void* size, void* step) { LANTERN_CHECK_LOADED void* ret = _lantern_unfold_backward_out_tensor_tensor_intarrayref_intt_intt_intt(out, grad_in, input_sizes, dim, size, step); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_normal_out_tensor_tensor_double_double_generator)(void* out, void* self, void* mean, void* std, void* generator);
@@ -9336,60 +9614,70 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern__amp_update_scale_tensor_tensor_tensor_double_double_intt(void* self, void* growth_tracker, void* found_inf, void* scale_growth_factor, void* scale_backoff_factor, void* growth_interval) { LANTERN_CHECK_LOADED void* ret = _lantern__amp_update_scale_tensor_tensor_tensor_double_double_intt(self, growth_tracker, found_inf, scale_growth_factor, scale_backoff_factor, growth_interval); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_add_out_tensorlist_tensorlist_scalar)(void* out, void* self, void* scalar);
   HOST_API void* lantern__foreach_add_out_tensorlist_tensorlist_scalar(void* out, void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_add_out_tensorlist_tensorlist_scalar(out, self, scalar); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sub_out_tensorlist_tensorlist_scalar)(void* out, void* self, void* scalar);
-  HOST_API void* lantern__foreach_sub_out_tensorlist_tensorlist_scalar(void* out, void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sub_out_tensorlist_tensorlist_scalar(out, self, scalar); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_mul_out_tensorlist_tensorlist_scalar)(void* out, void* self, void* scalar);
-  HOST_API void* lantern__foreach_mul_out_tensorlist_tensorlist_scalar(void* out, void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_mul_out_tensorlist_tensorlist_scalar(out, self, scalar); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_div_out_tensorlist_tensorlist_scalar)(void* out, void* self, void* scalar);
-  HOST_API void* lantern__foreach_div_out_tensorlist_tensorlist_scalar(void* out, void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_div_out_tensorlist_tensorlist_scalar(out, self, scalar); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_min_out_tensorlist_tensorlist_scalar)(void* out, void* self, void* scalar);
-  HOST_API void* lantern__foreach_clamp_min_out_tensorlist_tensorlist_scalar(void* out, void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_min_out_tensorlist_tensorlist_scalar(out, self, scalar); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_max_out_tensorlist_tensorlist_scalar)(void* out, void* self, void* scalar);
-  HOST_API void* lantern__foreach_clamp_max_out_tensorlist_tensorlist_scalar(void* out, void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_max_out_tensorlist_tensorlist_scalar(out, self, scalar); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_maximum_out_tensorlist_tensorlist_scalar)(void* out, void* self, void* scalar);
-  HOST_API void* lantern__foreach_maximum_out_tensorlist_tensorlist_scalar(void* out, void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_maximum_out_tensorlist_tensorlist_scalar(out, self, scalar); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_minimum_out_tensorlist_tensorlist_scalar)(void* out, void* self, void* scalar);
-  HOST_API void* lantern__foreach_minimum_out_tensorlist_tensorlist_scalar(void* out, void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_minimum_out_tensorlist_tensorlist_scalar(out, self, scalar); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_add_out_tensorlist_tensorlist_tensorlist_scalar)(void* out, void* self, void* other, void* alpha);
   HOST_API void* lantern__foreach_add_out_tensorlist_tensorlist_tensorlist_scalar(void* out, void* self, void* other, void* alpha) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_add_out_tensorlist_tensorlist_tensorlist_scalar(out, self, other, alpha); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_add_out_tensorlist_tensorlist_arrayrefscalar)(void* out, void* self, void* scalars);
+  HOST_API void* lantern__foreach_add_out_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_add_out_tensorlist_tensorlist_arrayrefscalar(out, self, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_add_out_tensorlist_tensorlist_tensor_scalar)(void* out, void* self, void* other, void* alpha);
+  HOST_API void* lantern__foreach_add_out_tensorlist_tensorlist_tensor_scalar(void* out, void* self, void* other, void* alpha) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_add_out_tensorlist_tensorlist_tensor_scalar(out, self, other, alpha); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sub_out_tensorlist_tensorlist_scalar)(void* out, void* self, void* scalar);
+  HOST_API void* lantern__foreach_sub_out_tensorlist_tensorlist_scalar(void* out, void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sub_out_tensorlist_tensorlist_scalar(out, self, scalar); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_sub_out_tensorlist_tensorlist_tensorlist_scalar)(void* out, void* self, void* other, void* alpha);
   HOST_API void* lantern__foreach_sub_out_tensorlist_tensorlist_tensorlist_scalar(void* out, void* self, void* other, void* alpha) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sub_out_tensorlist_tensorlist_tensorlist_scalar(out, self, other, alpha); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sub_out_tensorlist_tensorlist_arrayrefscalar)(void* out, void* self, void* scalars);
+  HOST_API void* lantern__foreach_sub_out_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sub_out_tensorlist_tensorlist_arrayrefscalar(out, self, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_mul_out_tensorlist_tensorlist_scalar)(void* out, void* self, void* scalar);
+  HOST_API void* lantern__foreach_mul_out_tensorlist_tensorlist_scalar(void* out, void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_mul_out_tensorlist_tensorlist_scalar(out, self, scalar); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_mul_out_tensorlist_tensorlist_tensorlist)(void* out, void* self, void* other);
   HOST_API void* lantern__foreach_mul_out_tensorlist_tensorlist_tensorlist(void* out, void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_mul_out_tensorlist_tensorlist_tensorlist(out, self, other); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_mul_out_tensorlist_tensorlist_arrayrefscalar)(void* out, void* self, void* scalars);
+  HOST_API void* lantern__foreach_mul_out_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_mul_out_tensorlist_tensorlist_arrayrefscalar(out, self, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_mul_out_tensorlist_tensorlist_tensor)(void* out, void* self, void* other);
+  HOST_API void* lantern__foreach_mul_out_tensorlist_tensorlist_tensor(void* out, void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_mul_out_tensorlist_tensorlist_tensor(out, self, other); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_div_out_tensorlist_tensorlist_scalar)(void* out, void* self, void* scalar);
+  HOST_API void* lantern__foreach_div_out_tensorlist_tensorlist_scalar(void* out, void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_div_out_tensorlist_tensorlist_scalar(out, self, scalar); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_div_out_tensorlist_tensorlist_tensorlist)(void* out, void* self, void* other);
   HOST_API void* lantern__foreach_div_out_tensorlist_tensorlist_tensorlist(void* out, void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_div_out_tensorlist_tensorlist_tensorlist(out, self, other); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_min_out_tensorlist_tensorlist_tensorlist)(void* out, void* self, void* other);
-  HOST_API void* lantern__foreach_clamp_min_out_tensorlist_tensorlist_tensorlist(void* out, void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_min_out_tensorlist_tensorlist_tensorlist(out, self, other); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_max_out_tensorlist_tensorlist_tensorlist)(void* out, void* self, void* other);
-  HOST_API void* lantern__foreach_clamp_max_out_tensorlist_tensorlist_tensorlist(void* out, void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_max_out_tensorlist_tensorlist_tensorlist(out, self, other); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_maximum_out_tensorlist_tensorlist_tensorlist)(void* out, void* self, void* other);
-  HOST_API void* lantern__foreach_maximum_out_tensorlist_tensorlist_tensorlist(void* out, void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_maximum_out_tensorlist_tensorlist_tensorlist(out, self, other); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_minimum_out_tensorlist_tensorlist_tensorlist)(void* out, void* self, void* other);
-  HOST_API void* lantern__foreach_minimum_out_tensorlist_tensorlist_tensorlist(void* out, void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_minimum_out_tensorlist_tensorlist_tensorlist(out, self, other); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_add_out_tensorlist_tensorlist_arrayrefscalar)(void* out, void* self, void* scalars);
-  HOST_API void* lantern__foreach_add_out_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_add_out_tensorlist_tensorlist_arrayrefscalar(out, self, scalars); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sub_out_tensorlist_tensorlist_arrayrefscalar)(void* out, void* self, void* scalars);
-  HOST_API void* lantern__foreach_sub_out_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sub_out_tensorlist_tensorlist_arrayrefscalar(out, self, scalars); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_div_out_tensorlist_tensorlist_arrayrefscalar)(void* out, void* self, void* scalars);
   HOST_API void* lantern__foreach_div_out_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_div_out_tensorlist_tensorlist_arrayrefscalar(out, self, scalars); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_mul_out_tensorlist_tensorlist_arrayrefscalar)(void* out, void* self, void* scalars);
-  HOST_API void* lantern__foreach_mul_out_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_mul_out_tensorlist_tensorlist_arrayrefscalar(out, self, scalars); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_min_out_tensorlist_tensorlist_arrayrefscalar)(void* out, void* self, void* scalars);
-  HOST_API void* lantern__foreach_clamp_min_out_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_min_out_tensorlist_tensorlist_arrayrefscalar(out, self, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_div_out_tensorlist_tensorlist_tensor)(void* out, void* self, void* other);
+  HOST_API void* lantern__foreach_div_out_tensorlist_tensorlist_tensor(void* out, void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_div_out_tensorlist_tensorlist_tensor(out, self, other); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_max_out_tensorlist_tensorlist_scalar)(void* out, void* self, void* scalar);
+  HOST_API void* lantern__foreach_clamp_max_out_tensorlist_tensorlist_scalar(void* out, void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_max_out_tensorlist_tensorlist_scalar(out, self, scalar); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_max_out_tensorlist_tensorlist_tensorlist)(void* out, void* self, void* other);
+  HOST_API void* lantern__foreach_clamp_max_out_tensorlist_tensorlist_tensorlist(void* out, void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_max_out_tensorlist_tensorlist_tensorlist(out, self, other); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_max_out_tensorlist_tensorlist_arrayrefscalar)(void* out, void* self, void* scalars);
   HOST_API void* lantern__foreach_clamp_max_out_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_max_out_tensorlist_tensorlist_arrayrefscalar(out, self, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_min_out_tensorlist_tensorlist_scalar)(void* out, void* self, void* scalar);
+  HOST_API void* lantern__foreach_clamp_min_out_tensorlist_tensorlist_scalar(void* out, void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_min_out_tensorlist_tensorlist_scalar(out, self, scalar); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_min_out_tensorlist_tensorlist_tensorlist)(void* out, void* self, void* other);
+  HOST_API void* lantern__foreach_clamp_min_out_tensorlist_tensorlist_tensorlist(void* out, void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_min_out_tensorlist_tensorlist_tensorlist(out, self, other); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_min_out_tensorlist_tensorlist_arrayrefscalar)(void* out, void* self, void* scalars);
+  HOST_API void* lantern__foreach_clamp_min_out_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_min_out_tensorlist_tensorlist_arrayrefscalar(out, self, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_maximum_out_tensorlist_tensorlist_scalar)(void* out, void* self, void* scalar);
+  HOST_API void* lantern__foreach_maximum_out_tensorlist_tensorlist_scalar(void* out, void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_maximum_out_tensorlist_tensorlist_scalar(out, self, scalar); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_maximum_out_tensorlist_tensorlist_tensorlist)(void* out, void* self, void* other);
+  HOST_API void* lantern__foreach_maximum_out_tensorlist_tensorlist_tensorlist(void* out, void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_maximum_out_tensorlist_tensorlist_tensorlist(out, self, other); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_maximum_out_tensorlist_tensorlist_arrayrefscalar)(void* out, void* self, void* scalars);
   HOST_API void* lantern__foreach_maximum_out_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_maximum_out_tensorlist_tensorlist_arrayrefscalar(out, self, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_minimum_out_tensorlist_tensorlist_scalar)(void* out, void* self, void* scalar);
+  HOST_API void* lantern__foreach_minimum_out_tensorlist_tensorlist_scalar(void* out, void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_minimum_out_tensorlist_tensorlist_scalar(out, self, scalar); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_minimum_out_tensorlist_tensorlist_tensorlist)(void* out, void* self, void* other);
+  HOST_API void* lantern__foreach_minimum_out_tensorlist_tensorlist_tensorlist(void* out, void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_minimum_out_tensorlist_tensorlist_tensorlist(out, self, other); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_minimum_out_tensorlist_tensorlist_arrayrefscalar)(void* out, void* self, void* scalars);
   HOST_API void* lantern__foreach_minimum_out_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_minimum_out_tensorlist_tensorlist_arrayrefscalar(out, self, scalars); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_exp_out_tensorlist_tensorlist)(void* out, void* self);
-  HOST_API void* lantern__foreach_exp_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_exp_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_zero_out_tensorlist_tensorlist)(void* out, void* self);
-  HOST_API void* lantern__foreach_zero_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_zero_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_zero_tensorlist)(void* self);
-  HOST_API void* lantern__foreach_zero_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_zero_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sqrt_out_tensorlist_tensorlist)(void* out, void* self);
-  HOST_API void* lantern__foreach_sqrt_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sqrt_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_scalar)(void* out, void* self, void* tensor1, void* tensor2, void* value);
+  HOST_API void* lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_scalar(void* out, void* self, void* tensor1, void* tensor2, void* value) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_scalar(out, self, tensor1, tensor2, value); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_arrayrefscalar)(void* out, void* self, void* tensor1, void* tensor2, void* scalars);
+  HOST_API void* lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* tensor1, void* tensor2, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_arrayrefscalar(out, self, tensor1, tensor2, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_tensor)(void* out, void* self, void* tensor1, void* tensor2, void* scalars);
+  HOST_API void* lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_tensor(void* out, void* self, void* tensor1, void* tensor2, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_tensor(out, self, tensor1, tensor2, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_scalar)(void* out, void* self, void* tensor1, void* tensor2, void* value);
+  HOST_API void* lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_scalar(void* out, void* self, void* tensor1, void* tensor2, void* value) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_scalar(out, self, tensor1, tensor2, value); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_arrayrefscalar)(void* out, void* self, void* tensor1, void* tensor2, void* scalars);
+  HOST_API void* lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* tensor1, void* tensor2, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_arrayrefscalar(out, self, tensor1, tensor2, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_tensor)(void* out, void* self, void* tensor1, void* tensor2, void* scalars);
+  HOST_API void* lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_tensor(void* out, void* self, void* tensor1, void* tensor2, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_tensor(out, self, tensor1, tensor2, scalars); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_abs_out_tensorlist_tensorlist)(void* out, void* self);
   HOST_API void* lantern__foreach_abs_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_abs_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_acos_out_tensorlist_tensorlist)(void* out, void* self);
@@ -9408,10 +9696,20 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern__foreach_erf_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_erf_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_erfc_out_tensorlist_tensorlist)(void* out, void* self);
   HOST_API void* lantern__foreach_erfc_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_erfc_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_exp_out_tensorlist_tensorlist)(void* out, void* self);
+  HOST_API void* lantern__foreach_exp_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_exp_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_expm1_out_tensorlist_tensorlist)(void* out, void* self);
   HOST_API void* lantern__foreach_expm1_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_expm1_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_floor_out_tensorlist_tensorlist)(void* out, void* self);
   HOST_API void* lantern__foreach_floor_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_floor_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_frac_out_tensorlist_tensorlist)(void* out, void* self);
+  HOST_API void* lantern__foreach_frac_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_frac_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_lerp_out_tensorlist_tensorlist_tensorlist_tensorlist)(void* out, void* self, void* tensors1, void* weights);
+  HOST_API void* lantern__foreach_lerp_out_tensorlist_tensorlist_tensorlist_tensorlist(void* out, void* self, void* tensors1, void* weights) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_lerp_out_tensorlist_tensorlist_tensorlist_tensorlist(out, self, tensors1, weights); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_lerp_out_tensorlist_tensorlist_tensorlist_scalar)(void* out, void* self, void* tensors1, void* weight);
+  HOST_API void* lantern__foreach_lerp_out_tensorlist_tensorlist_tensorlist_scalar(void* out, void* self, void* tensors1, void* weight) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_lerp_out_tensorlist_tensorlist_tensorlist_scalar(out, self, tensors1, weight); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_lgamma_out_tensorlist_tensorlist)(void* out, void* self);
+  HOST_API void* lantern__foreach_lgamma_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_lgamma_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_log_out_tensorlist_tensorlist)(void* out, void* self);
   HOST_API void* lantern__foreach_log_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_log_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_log10_out_tensorlist_tensorlist)(void* out, void* self);
@@ -9420,50 +9718,46 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern__foreach_log1p_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_log1p_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_log2_out_tensorlist_tensorlist)(void* out, void* self);
   HOST_API void* lantern__foreach_log2_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_log2_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_max_out_tensorlist_tensorlist)(void* out, void* self);
+  HOST_API void* lantern__foreach_max_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_max_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_neg_out_tensorlist_tensorlist)(void* out, void* self);
   HOST_API void* lantern__foreach_neg_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_neg_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_tan_out_tensorlist_tensorlist)(void* out, void* self);
-  HOST_API void* lantern__foreach_tan_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_tan_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_tanh_out_tensorlist_tensorlist)(void* out, void* self);
-  HOST_API void* lantern__foreach_tanh_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_tanh_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sin_out_tensorlist_tensorlist)(void* out, void* self);
-  HOST_API void* lantern__foreach_sin_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sin_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sinh_out_tensorlist_tensorlist)(void* out, void* self);
-  HOST_API void* lantern__foreach_sinh_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sinh_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_round_out_tensorlist_tensorlist)(void* out, void* self);
-  HOST_API void* lantern__foreach_round_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_round_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_lgamma_out_tensorlist_tensorlist)(void* out, void* self);
-  HOST_API void* lantern__foreach_lgamma_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_lgamma_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_frac_out_tensorlist_tensorlist)(void* out, void* self);
-  HOST_API void* lantern__foreach_frac_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_frac_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_norm_out_tensorlist_tensorlist_scalar_scalartype)(void* out, void* self, void* ord, void* dtype);
+  HOST_API void* lantern__foreach_norm_out_tensorlist_tensorlist_scalar_scalartype(void* out, void* self, void* ord, void* dtype) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_norm_out_tensorlist_tensorlist_scalar_scalartype(out, self, ord, dtype); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_pow_out_tensorlist_tensorlist_tensorlist)(void* out, void* self, void* exponent);
+  HOST_API void* lantern__foreach_pow_out_tensorlist_tensorlist_tensorlist(void* out, void* self, void* exponent) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_pow_out_tensorlist_tensorlist_tensorlist(out, self, exponent); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_pow_out_tensorlist_tensorlist_scalar)(void* out, void* self, void* exponent);
+  HOST_API void* lantern__foreach_pow_out_tensorlist_tensorlist_scalar(void* out, void* self, void* exponent) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_pow_out_tensorlist_tensorlist_scalar(out, self, exponent); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_pow_out_tensorlist_tensorlist_arrayrefscalar)(void* out, void* self, void* exponent);
+  HOST_API void* lantern__foreach_pow_out_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* exponent) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_pow_out_tensorlist_tensorlist_arrayrefscalar(out, self, exponent); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_reciprocal_out_tensorlist_tensorlist)(void* out, void* self);
   HOST_API void* lantern__foreach_reciprocal_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_reciprocal_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_round_out_tensorlist_tensorlist)(void* out, void* self);
+  HOST_API void* lantern__foreach_round_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_round_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_sigmoid_out_tensorlist_tensorlist)(void* out, void* self);
   HOST_API void* lantern__foreach_sigmoid_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sigmoid_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sign_out_tensorlist_tensorlist)(void* out, void* self);
+  HOST_API void* lantern__foreach_sign_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sign_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sin_out_tensorlist_tensorlist)(void* out, void* self);
+  HOST_API void* lantern__foreach_sin_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sin_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sinh_out_tensorlist_tensorlist)(void* out, void* self);
+  HOST_API void* lantern__foreach_sinh_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sinh_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sqrt_out_tensorlist_tensorlist)(void* out, void* self);
+  HOST_API void* lantern__foreach_sqrt_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sqrt_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_tan_out_tensorlist_tensorlist)(void* out, void* self);
+  HOST_API void* lantern__foreach_tan_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_tan_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_tanh_out_tensorlist_tensorlist)(void* out, void* self);
+  HOST_API void* lantern__foreach_tanh_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_tanh_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_trunc_out_tensorlist_tensorlist)(void* out, void* self);
   HOST_API void* lantern__foreach_trunc_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_trunc_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_scalar)(void* out, void* self, void* tensor1, void* tensor2, void* value);
-  HOST_API void* lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_scalar(void* out, void* self, void* tensor1, void* tensor2, void* value) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_scalar(out, self, tensor1, tensor2, value); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_scalar)(void* out, void* self, void* tensor1, void* tensor2, void* value);
-  HOST_API void* lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_scalar(void* out, void* self, void* tensor1, void* tensor2, void* value) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_scalar(out, self, tensor1, tensor2, value); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_arrayrefscalar)(void* out, void* self, void* tensor1, void* tensor2, void* scalars);
-  HOST_API void* lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* tensor1, void* tensor2, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_arrayrefscalar(out, self, tensor1, tensor2, scalars); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_tensor)(void* out, void* self, void* tensor1, void* tensor2, void* scalars);
-  HOST_API void* lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_tensor(void* out, void* self, void* tensor1, void* tensor2, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_tensor(out, self, tensor1, tensor2, scalars); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_arrayrefscalar)(void* out, void* self, void* tensor1, void* tensor2, void* scalars);
-  HOST_API void* lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* tensor1, void* tensor2, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_arrayrefscalar(out, self, tensor1, tensor2, scalars); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_tensor)(void* out, void* self, void* tensor1, void* tensor2, void* scalars);
-  HOST_API void* lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_tensor(void* out, void* self, void* tensor1, void* tensor2, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_tensor(out, self, tensor1, tensor2, scalars); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_norm_out_tensorlist_tensorlist_scalar)(void* out, void* self, void* ord);
-  HOST_API void* lantern__foreach_norm_out_tensorlist_tensorlist_scalar(void* out, void* self, void* ord) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_norm_out_tensorlist_tensorlist_scalar(out, self, ord); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_lerp_out_tensorlist_tensorlist_tensorlist_tensorlist)(void* out, void* self, void* tensors1, void* weights);
-  HOST_API void* lantern__foreach_lerp_out_tensorlist_tensorlist_tensorlist_tensorlist(void* out, void* self, void* tensors1, void* weights) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_lerp_out_tensorlist_tensorlist_tensorlist_tensorlist(out, self, tensors1, weights); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_lerp_out_tensorlist_tensorlist_tensorlist_scalar)(void* out, void* self, void* tensors1, void* weight);
-  HOST_API void* lantern__foreach_lerp_out_tensorlist_tensorlist_tensorlist_scalar(void* out, void* self, void* tensors1, void* weight) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_lerp_out_tensorlist_tensorlist_tensorlist_scalar(out, self, tensors1, weight); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_zero_out_tensorlist_tensorlist)(void* out, void* self);
+  HOST_API void* lantern__foreach_zero_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_zero_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_zero_tensorlist)(void* self);
+  HOST_API void* lantern__foreach_zero_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_zero_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_copy_out_tensorlist_tensorlist_tensorlist_bool)(void* out, void* self, void* src, void* non_blocking);
+  HOST_API void* lantern__foreach_copy_out_tensorlist_tensorlist_tensorlist_bool(void* out, void* self, void* src, void* non_blocking) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_copy_out_tensorlist_tensorlist_tensorlist_bool(out, self, src, non_blocking); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_bucketize_out_tensor_scalar_tensor_bool_bool)(void* out, void* self, void* boundaries, void* out_int32, void* right);
   HOST_API void* lantern_bucketize_out_tensor_scalar_tensor_bool_bool(void* out, void* self, void* boundaries, void* out_int32, void* right) { LANTERN_CHECK_LOADED void* ret = _lantern_bucketize_out_tensor_scalar_tensor_bool_bool(out, self, boundaries, out_int32, right); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_searchsorted_out_tensor_tensor_scalar_bool_bool_cstringview_tensor)(void* out, void* sorted_sequence, void* self, void* out_int32, void* right, void* side, void* sorter);
-  HOST_API void* lantern_searchsorted_out_tensor_tensor_scalar_bool_bool_cstringview_tensor(void* out, void* sorted_sequence, void* self, void* out_int32, void* right, void* side, void* sorter) { LANTERN_CHECK_LOADED void* ret = _lantern_searchsorted_out_tensor_tensor_scalar_bool_bool_cstringview_tensor(out, sorted_sequence, self, out_int32, right, side, sorter); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_glu_jvp_out_tensor_tensor_tensor_tensor_intt)(void* out, void* glu, void* x, void* dx, void* dim);
   HOST_API void* lantern_glu_jvp_out_tensor_tensor_tensor_tensor_intt(void* out, void* glu, void* x, void* dx, void* dim) { LANTERN_CHECK_LOADED void* ret = _lantern_glu_jvp_out_tensor_tensor_tensor_tensor_intt(out, glu, x, dx, dim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_glu_backward_jvp_out_tensor_tensor_tensor_tensor_tensor_tensor_intt)(void* out, void* grad_x, void* grad_glu, void* x, void* dgrad_glu, void* dx, void* dim);
@@ -9588,20 +9882,36 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern__triton_scaled_dot_attention_out_tensor_tensor_tensor_tensor_double(void* out, void* q, void* k, void* v, void* dropout_p) { LANTERN_CHECK_LOADED void* ret = _lantern__triton_scaled_dot_attention_out_tensor_tensor_tensor_tensor_double(out, q, k, v, dropout_p); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__triton_multi_head_attention_out_tensor_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_tensor)(void* out, void* query, void* key, void* value, void* embed_dim, void* num_head, void* qkv_weight, void* qkv_bias, void* proj_weight, void* proj_bias, void* mask);
   HOST_API void* lantern__triton_multi_head_attention_out_tensor_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_tensor(void* out, void* query, void* key, void* value, void* embed_dim, void* num_head, void* qkv_weight, void* qkv_bias, void* proj_weight, void* proj_bias, void* mask) { LANTERN_CHECK_LOADED void* ret = _lantern__triton_multi_head_attention_out_tensor_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_tensor(out, query, key, value, embed_dim, num_head, qkv_weight, qkv_bias, proj_weight, proj_bias, mask); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__transformer_decoder_only_layer_fwd_out_tensor_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_bool_bool_double_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor)(void* out0, void* out1, void* out2, void* src, void* embed_dim, void* num_heads, void* qkv_weight, void* qkv_bias, void* proj_weight, void* proj_bias, void* use_gelu, void* norm_first, void* eps, void* norm_weight_1, void* norm_bias_1, void* norm_weight_2, void* norm_bias_2, void* ffn_weight_1, void* ffn_bias_1, void* ffn_weight_2, void* ffn_bias_2, void* mask, void* incr_key, void* incr_value);
-  HOST_API void* lantern__transformer_decoder_only_layer_fwd_out_tensor_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_bool_bool_double_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor(void* out0, void* out1, void* out2, void* src, void* embed_dim, void* num_heads, void* qkv_weight, void* qkv_bias, void* proj_weight, void* proj_bias, void* use_gelu, void* norm_first, void* eps, void* norm_weight_1, void* norm_bias_1, void* norm_weight_2, void* norm_bias_2, void* ffn_weight_1, void* ffn_bias_1, void* ffn_weight_2, void* ffn_bias_2, void* mask, void* incr_key, void* incr_value) { LANTERN_CHECK_LOADED void* ret = _lantern__transformer_decoder_only_layer_fwd_out_tensor_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_bool_bool_double_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor(out0, out1, out2, src, embed_dim, num_heads, qkv_weight, qkv_bias, proj_weight, proj_bias, use_gelu, norm_first, eps, norm_weight_1, norm_bias_1, norm_weight_2, norm_bias_2, ffn_weight_1, ffn_bias_1, ffn_weight_2, ffn_bias_2, mask, incr_key, incr_value); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__native_decoder_only_multi_head_attention_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_bool)(void* out0, void* out1, void* out2, void* out3, void* query, void* key, void* value, void* embed_dim, void* num_head, void* qkv_weight, void* qkv_bias, void* proj_weight, void* proj_bias, void* mask, void* incr_key, void* incr_value, void* need_weights, void* average_attn_weights);
-  HOST_API void* lantern__native_decoder_only_multi_head_attention_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_bool(void* out0, void* out1, void* out2, void* out3, void* query, void* key, void* value, void* embed_dim, void* num_head, void* qkv_weight, void* qkv_bias, void* proj_weight, void* proj_bias, void* mask, void* incr_key, void* incr_value, void* need_weights, void* average_attn_weights) { LANTERN_CHECK_LOADED void* ret = _lantern__native_decoder_only_multi_head_attention_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_bool(out0, out1, out2, out3, query, key, value, embed_dim, num_head, qkv_weight, qkv_bias, proj_weight, proj_bias, mask, incr_key, incr_value, need_weights, average_attn_weights); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foobar_out_tensor_tensor_bool_bool_bool)(void* out, void* self, void* arg1, void* arg2, void* arg3);
   HOST_API void* lantern__foobar_out_tensor_tensor_bool_bool_bool(void* out, void* self, void* arg1, void* arg2, void* arg3) { LANTERN_CHECK_LOADED void* ret = _lantern__foobar_out_tensor_tensor_bool_bool_bool(out, self, arg1, arg2, arg3); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__fused_adam_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor)(void* out, void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf);
   HOST_API void* lantern__fused_adam_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor(void* out, void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf) { LANTERN_CHECK_LOADED void* ret = _lantern__fused_adam_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor(out, self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__fused_adam_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor)(void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf);
   HOST_API void* lantern__fused_adam_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor(void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf) { LANTERN_CHECK_LOADED void* ret = _lantern__fused_adam_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor(self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__fused_adam_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor)(void* out, void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf);
+  HOST_API void* lantern__fused_adam_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor(void* out, void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf) { LANTERN_CHECK_LOADED void* ret = _lantern__fused_adam_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor(out, self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__fused_adam_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor)(void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf);
+  HOST_API void* lantern__fused_adam_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor(void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf) { LANTERN_CHECK_LOADED void* ret = _lantern__fused_adam_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor(self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__fused_adamw_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor)(void* out, void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf);
   HOST_API void* lantern__fused_adamw_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor(void* out, void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf) { LANTERN_CHECK_LOADED void* ret = _lantern__fused_adamw_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor(out, self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__fused_adamw_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor)(void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf);
   HOST_API void* lantern__fused_adamw_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor(void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf) { LANTERN_CHECK_LOADED void* ret = _lantern__fused_adamw_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor(self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__fused_adamw_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor)(void* out, void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf);
+  HOST_API void* lantern__fused_adamw_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor(void* out, void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf) { LANTERN_CHECK_LOADED void* ret = _lantern__fused_adamw_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor(out, self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__fused_adamw_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor)(void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf);
+  HOST_API void* lantern__fused_adamw_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor(void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf) { LANTERN_CHECK_LOADED void* ret = _lantern__fused_adamw_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor(self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__fused_sgd_out_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_bool_bool_tensor_tensor)(void* out, void* self, void* grads, void* momentum_buffer_list, void* weight_decay, void* momentum, void* lr, void* dampening, void* nesterov, void* maximize, void* is_first_step, void* grad_scale, void* found_inf);
+  HOST_API void* lantern__fused_sgd_out_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_bool_bool_tensor_tensor(void* out, void* self, void* grads, void* momentum_buffer_list, void* weight_decay, void* momentum, void* lr, void* dampening, void* nesterov, void* maximize, void* is_first_step, void* grad_scale, void* found_inf) { LANTERN_CHECK_LOADED void* ret = _lantern__fused_sgd_out_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_bool_bool_tensor_tensor(out, self, grads, momentum_buffer_list, weight_decay, momentum, lr, dampening, nesterov, maximize, is_first_step, grad_scale, found_inf); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__fused_sgd_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_bool_bool_tensor_tensor)(void* self, void* grads, void* momentum_buffer_list, void* weight_decay, void* momentum, void* lr, void* dampening, void* nesterov, void* maximize, void* is_first_step, void* grad_scale, void* found_inf);
+  HOST_API void* lantern__fused_sgd_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_bool_bool_tensor_tensor(void* self, void* grads, void* momentum_buffer_list, void* weight_decay, void* momentum, void* lr, void* dampening, void* nesterov, void* maximize, void* is_first_step, void* grad_scale, void* found_inf) { LANTERN_CHECK_LOADED void* ret = _lantern__fused_sgd_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_bool_bool_tensor_tensor(self, grads, momentum_buffer_list, weight_decay, momentum, lr, dampening, nesterov, maximize, is_first_step, grad_scale, found_inf); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__fused_sgd_out_tensorlist_tensorlist_tensorlist_tensorlist_double_double_tensor_double_bool_bool_bool_tensor_tensor)(void* out, void* self, void* grads, void* momentum_buffer_list, void* weight_decay, void* momentum, void* lr, void* dampening, void* nesterov, void* maximize, void* is_first_step, void* grad_scale, void* found_inf);
+  HOST_API void* lantern__fused_sgd_out_tensorlist_tensorlist_tensorlist_tensorlist_double_double_tensor_double_bool_bool_bool_tensor_tensor(void* out, void* self, void* grads, void* momentum_buffer_list, void* weight_decay, void* momentum, void* lr, void* dampening, void* nesterov, void* maximize, void* is_first_step, void* grad_scale, void* found_inf) { LANTERN_CHECK_LOADED void* ret = _lantern__fused_sgd_out_tensorlist_tensorlist_tensorlist_tensorlist_double_double_tensor_double_bool_bool_bool_tensor_tensor(out, self, grads, momentum_buffer_list, weight_decay, momentum, lr, dampening, nesterov, maximize, is_first_step, grad_scale, found_inf); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__fused_sgd_tensorlist_tensorlist_tensorlist_double_double_tensor_double_bool_bool_bool_tensor_tensor)(void* self, void* grads, void* momentum_buffer_list, void* weight_decay, void* momentum, void* lr, void* dampening, void* nesterov, void* maximize, void* is_first_step, void* grad_scale, void* found_inf);
+  HOST_API void* lantern__fused_sgd_tensorlist_tensorlist_tensorlist_double_double_tensor_double_bool_bool_bool_tensor_tensor(void* self, void* grads, void* momentum_buffer_list, void* weight_decay, void* momentum, void* lr, void* dampening, void* nesterov, void* maximize, void* is_first_step, void* grad_scale, void* found_inf) { LANTERN_CHECK_LOADED void* ret = _lantern__fused_sgd_tensorlist_tensorlist_tensorlist_double_double_tensor_double_bool_bool_bool_tensor_tensor(self, grads, momentum_buffer_list, weight_decay, momentum, lr, dampening, nesterov, maximize, is_first_step, grad_scale, found_inf); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__fused_adagrad_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_tensor_tensor)(void* out, void* self, void* grads, void* state_sums, void* state_steps, void* lr, void* lr_decay, void* weight_decay, void* eps, void* maximize, void* grad_scale, void* found_inf);
+  HOST_API void* lantern__fused_adagrad_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_tensor_tensor(void* out, void* self, void* grads, void* state_sums, void* state_steps, void* lr, void* lr_decay, void* weight_decay, void* eps, void* maximize, void* grad_scale, void* found_inf) { LANTERN_CHECK_LOADED void* ret = _lantern__fused_adagrad_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_tensor_tensor(out, self, grads, state_sums, state_steps, lr, lr_decay, weight_decay, eps, maximize, grad_scale, found_inf); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__fused_adagrad_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_tensor_tensor)(void* self, void* grads, void* state_sums, void* state_steps, void* lr, void* lr_decay, void* weight_decay, void* eps, void* maximize, void* grad_scale, void* found_inf);
+  HOST_API void* lantern__fused_adagrad_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_tensor_tensor(void* self, void* grads, void* state_sums, void* state_steps, void* lr, void* lr_decay, void* weight_decay, void* eps, void* maximize, void* grad_scale, void* found_inf) { LANTERN_CHECK_LOADED void* ret = _lantern__fused_adagrad_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_tensor_tensor(self, grads, state_sums, state_steps, lr, lr_decay, weight_decay, eps, maximize, grad_scale, found_inf); LANTERN_HOST_HANDLER return ret; }
   /* Autogen Headers -- End */
 
 #ifdef __cplusplus
@@ -9711,8 +10021,12 @@ bool lanternLoadLibrary(const std::string &libPath, std::string *pError)
   }
 
   pLibrary = (void *)::LoadLibraryEx(libFile.c_str(), NULL, LOAD_LIBRARY_SEARCH_DEFAULT_DIRS);
+#elif defined(__APPLE__) || defined(__MACH__)
+  pLibrary = ::dlopen(libFile.c_str(), RTLD_NOW);
 #else
-  pLibrary = ::dlopen(libFile.c_str(), RTLD_NOW | RTLD_GLOBAL);
+  // On Linux use RTLD_DEEPBIND to avoid conflicts and make sure libtorch calls into
+  // the bundled MKL BLAS.
+  pLibrary = dlopen(libFile.c_str(), RTLD_NOW | RTLD_DEEPBIND);
 #endif
   if (pLibrary == NULL)
   {
@@ -10261,7 +10575,17 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_Tensor_align_as_tensor_tensor)
   LOAD_SYMBOL(_lantern_align_tensors_tensorlist)
   LOAD_SYMBOL(_lantern__assert_async_tensor)
+  LOAD_SYMBOL(_lantern__assert_async_tensor_cstringview)
+  LOAD_SYMBOL(_lantern__assert_scalar_scalar_cstringview)
+  LOAD_SYMBOL(_lantern__functional_assert_scalar_scalar_cstringview_tensor)
+  LOAD_SYMBOL(_lantern__functional_assert_async_tensor_cstringview_tensor)
   LOAD_SYMBOL(_lantern__assert_tensor_metadata_tensor_intarrayref_intarrayref_scalartype)
+  LOAD_SYMBOL(_lantern__print_cstringview)
+  LOAD_SYMBOL(_lantern_sym_constrain_range_scalar_intt_intt)
+  LOAD_SYMBOL(_lantern_sym_constrain_range_for_size_scalar_intt_intt)
+  LOAD_SYMBOL(_lantern__functional_sym_constrain_range_scalar_intt_intt_tensor)
+  LOAD_SYMBOL(_lantern__functional_sym_constrain_range_for_size_scalar_intt_intt_tensor)
+  LOAD_SYMBOL(_lantern__make_dep_token_tensoroptions_memoryformat)
   LOAD_SYMBOL(_lantern_Tensor_refine_names_tensor_dimnamelist)
   LOAD_SYMBOL(_lantern__use_cudnn_ctc_loss_tensor_tensor_intarrayref_intarrayref_intt)
   LOAD_SYMBOL(_lantern__use_cudnn_ctc_loss_tensor_tensor_tensor_tensor_intt)
@@ -10370,9 +10694,13 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern__is_any_true_tensor)
   LOAD_SYMBOL(_lantern_Tensor__is_any_true_tensor)
   LOAD_SYMBOL(_lantern__test_check_tensor_tensor)
+  LOAD_SYMBOL(_lantern__test_functorch_fallback_tensor_tensor)
   LOAD_SYMBOL(_lantern_all_tensor_intt_bool)
   LOAD_SYMBOL(_lantern_Tensor_all_tensor_intt_bool)
+  LOAD_SYMBOL(_lantern_all_tensor_intarrayref_bool)
+  LOAD_SYMBOL(_lantern_Tensor_all_tensor_intarrayref_bool)
   LOAD_SYMBOL(_lantern_all_out_tensor_tensor_intt_bool)
+  LOAD_SYMBOL(_lantern_all_out_tensor_tensor_intarrayref_bool)
   LOAD_SYMBOL(_lantern_all_tensor_dimname_bool)
   LOAD_SYMBOL(_lantern_Tensor_all_tensor_dimname_bool)
   LOAD_SYMBOL(_lantern_all_out_tensor_tensor_dimname_bool)
@@ -10380,7 +10708,10 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_Tensor_allclose_tensor_tensor_double_double_bool)
   LOAD_SYMBOL(_lantern_any_tensor_intt_bool)
   LOAD_SYMBOL(_lantern_Tensor_any_tensor_intt_bool)
+  LOAD_SYMBOL(_lantern_any_tensor_intarrayref_bool)
+  LOAD_SYMBOL(_lantern_Tensor_any_tensor_intarrayref_bool)
   LOAD_SYMBOL(_lantern_any_out_tensor_tensor_intt_bool)
+  LOAD_SYMBOL(_lantern_any_out_tensor_tensor_intarrayref_bool)
   LOAD_SYMBOL(_lantern_any_tensor_dimname_bool)
   LOAD_SYMBOL(_lantern_Tensor_any_tensor_dimname_bool)
   LOAD_SYMBOL(_lantern_any_out_tensor_tensor_dimname_bool)
@@ -10493,6 +10824,8 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_Tensor_copysign_tensor_scalar)
   LOAD_SYMBOL(_lantern_Tensor_copysign__tensor_scalar)
   LOAD_SYMBOL(_lantern_copysign_out_tensor_tensor_scalar)
+  LOAD_SYMBOL(_lantern__lazy_clone_tensor)
+  LOAD_SYMBOL(_lantern_Tensor__lazy_clone_tensor)
   LOAD_SYMBOL(_lantern_logical_not_tensor)
   LOAD_SYMBOL(_lantern_Tensor_logical_not_tensor)
   LOAD_SYMBOL(_lantern_Tensor_logical_not__tensor)
@@ -10642,6 +10975,7 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_cudnn_batch_norm_tensor_tensor_tensor_tensor_tensor_bool_double_double)
   LOAD_SYMBOL(_lantern_cudnn_batch_norm_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_tensor)
   LOAD_SYMBOL(_lantern_cudnn_convolution_tensor_tensor_intarrayref_intarrayref_intarrayref_intt_bool_bool_bool)
+  LOAD_SYMBOL(_lantern_cudnn_convolution_out_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intt_bool_bool_bool)
   LOAD_SYMBOL(_lantern_cudnn_convolution_transpose_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt_bool_bool_bool)
   LOAD_SYMBOL(_lantern__mps_convolution_transpose_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt)
   LOAD_SYMBOL(_lantern_mps_convolution_transpose_backward_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt_stdarraybool)
@@ -10770,6 +11104,7 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern__embedding_bag_per_sample_weights_backward_tensor_tensor_tensor_tensor_tensor_intt_intt)
   LOAD_SYMBOL(_lantern_empty_intarrayref_dimnamelist_tensoroptions_memoryformat)
   LOAD_SYMBOL(_lantern_empty_intarrayref_tensoroptions_memoryformat)
+  LOAD_SYMBOL(_lantern_empty_permuted_intarrayref_intarrayref_tensoroptions)
   LOAD_SYMBOL(_lantern_Tensor_new_empty_tensor_intarrayref_tensoroptions)
   LOAD_SYMBOL(_lantern_Tensor_new_empty_strided_tensor_intarrayref_intarrayref_tensoroptions)
   LOAD_SYMBOL(_lantern_Tensor_new_full_tensor_intarrayref_scalar_tensoroptions)
@@ -10891,13 +11226,16 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern__fft_c2c_tensor_intarrayref_intt_bool)
   LOAD_SYMBOL(_lantern__fft_c2c_out_tensor_tensor_intarrayref_intt_bool)
   LOAD_SYMBOL(_lantern__validate_compressed_sparse_indices_bool_tensor_tensor_intt_intt_intt)
-  LOAD_SYMBOL(_lantern__cufft_get_plan_cache_size_intt)
-  LOAD_SYMBOL(_lantern__cufft_get_plan_cache_max_size_intt)
-  LOAD_SYMBOL(_lantern__cufft_set_plan_cache_max_size_intt_intt)
-  LOAD_SYMBOL(_lantern__cufft_clear_plan_cache_intt)
-  LOAD_SYMBOL(_lantern_index_tensor_constclistcoptionaltensor)
-  LOAD_SYMBOL(_lantern_Tensor_index_tensor_constclistcoptionaltensor)
-  LOAD_SYMBOL(_lantern_index_out_tensor_tensor_constclistcoptionaltensor)
+  LOAD_SYMBOL(_lantern__cufft_get_plan_cache_size_deviceindex)
+  LOAD_SYMBOL(_lantern__cufft_get_plan_cache_max_size_deviceindex)
+  LOAD_SYMBOL(_lantern__cufft_set_plan_cache_max_size_deviceindex_intt)
+  LOAD_SYMBOL(_lantern__cufft_clear_plan_cache_deviceindex)
+  LOAD_SYMBOL(_lantern_index_tensor_constcliststdoptionaltensor)
+  LOAD_SYMBOL(_lantern_Tensor_index_tensor_constcliststdoptionaltensor)
+  LOAD_SYMBOL(_lantern_index_out_tensor_tensor_constcliststdoptionaltensor)
+  LOAD_SYMBOL(_lantern__unsafe_index_tensor_constcliststdoptionaltensor)
+  LOAD_SYMBOL(_lantern__unsafe_masked_index_tensor_tensor_constcliststdoptionaltensor_scalar)
+  LOAD_SYMBOL(_lantern__unsafe_masked_index_put_accumulate_tensor_tensor_constcliststdoptionaltensor_tensor)
   LOAD_SYMBOL(_lantern_index_copy_out_tensor_tensor_intt_tensor_tensor)
   LOAD_SYMBOL(_lantern_Tensor_index_copy__tensor_intt_tensor_tensor)
   LOAD_SYMBOL(_lantern_index_copy_tensor_intt_tensor_tensor)
@@ -10905,11 +11243,12 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_Tensor_index_copy__tensor_dimname_tensor_tensor)
   LOAD_SYMBOL(_lantern_index_copy_tensor_dimname_tensor_tensor)
   LOAD_SYMBOL(_lantern_Tensor_index_copy_tensor_dimname_tensor_tensor)
-  LOAD_SYMBOL(_lantern_index_put__tensor_constclistcoptionaltensor_tensor_bool)
-  LOAD_SYMBOL(_lantern_Tensor_index_put__tensor_constclistcoptionaltensor_tensor_bool)
-  LOAD_SYMBOL(_lantern_index_put_tensor_constclistcoptionaltensor_tensor_bool)
-  LOAD_SYMBOL(_lantern_Tensor_index_put_tensor_constclistcoptionaltensor_tensor_bool)
-  LOAD_SYMBOL(_lantern__index_put_impl__tensor_constclistcoptionaltensor_tensor_bool_bool)
+  LOAD_SYMBOL(_lantern_index_put__tensor_constcliststdoptionaltensor_tensor_bool)
+  LOAD_SYMBOL(_lantern_Tensor_index_put__tensor_constcliststdoptionaltensor_tensor_bool)
+  LOAD_SYMBOL(_lantern_index_put_tensor_constcliststdoptionaltensor_tensor_bool)
+  LOAD_SYMBOL(_lantern_Tensor_index_put_tensor_constcliststdoptionaltensor_tensor_bool)
+  LOAD_SYMBOL(_lantern__unsafe_index_put_tensor_constcliststdoptionaltensor_tensor_bool)
+  LOAD_SYMBOL(_lantern__index_put_impl__tensor_constcliststdoptionaltensor_tensor_bool_bool)
   LOAD_SYMBOL(_lantern_instance_norm_tensor_tensor_tensor_tensor_tensor_bool_double_double_bool)
   LOAD_SYMBOL(_lantern_isclose_tensor_tensor_double_double_bool)
   LOAD_SYMBOL(_lantern_Tensor_isclose_tensor_tensor_double_double_bool)
@@ -10956,6 +11295,7 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_layer_norm_tensor_intarrayref_tensor_tensor_double_bool)
   LOAD_SYMBOL(_lantern_native_layer_norm_tensor_intarrayref_tensor_tensor_double)
   LOAD_SYMBOL(_lantern_native_layer_norm_backward_tensor_tensor_intarrayref_tensor_tensor_tensor_tensor_stdarraybool)
+  LOAD_SYMBOL(_lantern_rms_norm_tensor_intarrayref_tensor_double)
   LOAD_SYMBOL(_lantern_nan_to_num_tensor_double_double_double)
   LOAD_SYMBOL(_lantern_Tensor_nan_to_num_tensor_double_double_double)
   LOAD_SYMBOL(_lantern_nan_to_num__tensor_double_double_double)
@@ -10968,10 +11308,22 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_mkldnn_linear_backward_input_intarrayref_tensor_tensor)
   LOAD_SYMBOL(_lantern_mkldnn_linear_backward_weights_tensor_tensor_tensor_bool)
   LOAD_SYMBOL(_lantern_mkldnn_linear_backward_tensor_tensor_tensor_stdarraybool)
+  LOAD_SYMBOL(_lantern__cslt_compress_tensor)
+  LOAD_SYMBOL(_lantern__cslt_sparse_mm_tensor_tensor_tensor_tensor_scalartype_bool_intt)
+  LOAD_SYMBOL(_lantern__cslt_sparse_mm_search_tensor_tensor_tensor_tensor_scalartype_bool)
+  LOAD_SYMBOL(_lantern__sparse_semi_structured_tile_tensor_cstringview_bool)
+  LOAD_SYMBOL(_lantern__sparse_semi_structured_apply_tensor_tensor)
+  LOAD_SYMBOL(_lantern__sparse_semi_structured_apply_dense_tensor_tensor)
+  LOAD_SYMBOL(_lantern__sparse_semi_structured_linear_tensor_tensor_tensor_tensor_cstringview_scalartype)
+  LOAD_SYMBOL(_lantern__sparse_semi_structured_mm_tensor_tensor_tensor_scalartype)
+  LOAD_SYMBOL(_lantern__sparse_semi_structured_addmm_tensor_tensor_tensor_tensor_scalar_scalar_scalartype)
+  LOAD_SYMBOL(_lantern__mixed_dtypes_linear_tensor_tensor_tensor_tensor_cstringview)
   LOAD_SYMBOL(_lantern_fbgemm_linear_int8_weight_fp32_activation_tensor_tensor_tensor_tensor_scalar_scalar_tensor)
   LOAD_SYMBOL(_lantern_fbgemm_linear_int8_weight_tensor_tensor_tensor_tensor_scalar_scalar_tensor)
   LOAD_SYMBOL(_lantern_fbgemm_linear_quantize_weight_tensor)
   LOAD_SYMBOL(_lantern_fbgemm_pack_gemm_matrix_fp16_tensor)
+  LOAD_SYMBOL(_lantern__wrapped_linear_prepack_tensor_tensor_tensor_tensor)
+  LOAD_SYMBOL(_lantern__wrapped_quantized_linear_prepacked_tensor_tensor_tensor_tensor_tensor_tensor_intt)
   LOAD_SYMBOL(_lantern_fbgemm_linear_fp16_weight_fp32_activation_tensor_tensor_tensor)
   LOAD_SYMBOL(_lantern_fbgemm_linear_fp16_weight_tensor_tensor_tensor)
   LOAD_SYMBOL(_lantern_fbgemm_pack_quantized_matrix_tensor)
@@ -10982,7 +11334,13 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_Tensor_ldexp__tensor_tensor)
   LOAD_SYMBOL(_lantern_ldexp_out_tensor_tensor_tensor)
   LOAD_SYMBOL(_lantern_linspace_scalar_scalar_intt_tensoroptions)
+  LOAD_SYMBOL(_lantern_linspace_tensor_tensor_intt_tensoroptions)
+  LOAD_SYMBOL(_lantern_linspace_tensor_scalar_intt_tensoroptions)
+  LOAD_SYMBOL(_lantern_linspace_scalar_tensor_intt_tensoroptions)
   LOAD_SYMBOL(_lantern_linspace_out_tensor_scalar_scalar_intt)
+  LOAD_SYMBOL(_lantern_linspace_out_tensor_tensor_tensor_intt)
+  LOAD_SYMBOL(_lantern_linspace_out_tensor_tensor_scalar_intt)
+  LOAD_SYMBOL(_lantern_linspace_out_tensor_scalar_tensor_intt)
   LOAD_SYMBOL(_lantern_log_tensor)
   LOAD_SYMBOL(_lantern_Tensor_log_tensor)
   LOAD_SYMBOL(_lantern_log__tensor)
@@ -11022,7 +11380,13 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_xlogy_out_tensor_scalar_tensor)
   LOAD_SYMBOL(_lantern_xlogy_out_tensor_tensor_scalar)
   LOAD_SYMBOL(_lantern_logspace_scalar_scalar_intt_double_tensoroptions)
+  LOAD_SYMBOL(_lantern_logspace_tensor_tensor_intt_double_tensoroptions)
+  LOAD_SYMBOL(_lantern_logspace_tensor_scalar_intt_double_tensoroptions)
+  LOAD_SYMBOL(_lantern_logspace_scalar_tensor_intt_double_tensoroptions)
   LOAD_SYMBOL(_lantern_logspace_out_tensor_scalar_scalar_intt_double)
+  LOAD_SYMBOL(_lantern_logspace_out_tensor_tensor_tensor_intt_double)
+  LOAD_SYMBOL(_lantern_logspace_out_tensor_tensor_scalar_intt_double)
+  LOAD_SYMBOL(_lantern_logspace_out_tensor_scalar_tensor_intt_double)
   LOAD_SYMBOL(_lantern_log_softmax_tensor_intt_scalartype)
   LOAD_SYMBOL(_lantern_Tensor_log_softmax_tensor_intt_scalartype)
   LOAD_SYMBOL(_lantern_log_softmax_out_tensor_tensor_intt_scalartype)
@@ -11084,9 +11448,11 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_mkldnn_max_pool3d_backward_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool)
   LOAD_SYMBOL(_lantern_quantized_max_pool1d_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool)
   LOAD_SYMBOL(_lantern_quantized_max_pool2d_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool)
+  LOAD_SYMBOL(_lantern_quantized_max_pool3d_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool)
   LOAD_SYMBOL(_lantern_max_pool3d_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool)
   LOAD_SYMBOL(_lantern_mean_tensor_scalartype)
   LOAD_SYMBOL(_lantern_Tensor_mean_tensor_scalartype)
+  LOAD_SYMBOL(_lantern_mean_out_tensor_tensor_scalartype)
   LOAD_SYMBOL(_lantern_mean_tensor_intarrayref_bool_scalartype)
   LOAD_SYMBOL(_lantern_Tensor_mean_tensor_intarrayref_bool_scalartype)
   LOAD_SYMBOL(_lantern_mean_out_tensor_tensor_intarrayref_bool_scalartype)
@@ -11138,6 +11504,11 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_mm_tensor_tensor)
   LOAD_SYMBOL(_lantern_Tensor_mm_tensor_tensor)
   LOAD_SYMBOL(_lantern_mm_out_tensor_tensor_tensor)
+  LOAD_SYMBOL(_lantern__int_mm_tensor_tensor)
+  LOAD_SYMBOL(_lantern__int_mm_out_tensor_tensor_tensor)
+  LOAD_SYMBOL(_lantern__convert_weight_to_int4pack_tensor_intt)
+  LOAD_SYMBOL(_lantern__weight_int4pack_mm_tensor_tensor_intt_tensor)
+  LOAD_SYMBOL(_lantern__weight_int8pack_mm_tensor_tensor_tensor)
   LOAD_SYMBOL(_lantern__sparse_mm_tensor_tensor)
   LOAD_SYMBOL(_lantern__sparse_mm_tensor_tensor_cstringview)
   LOAD_SYMBOL(_lantern__sparse_sparse_matmul_tensor_tensor)
@@ -11178,6 +11549,7 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_native_batch_norm_tensor_tensor_tensor_tensor_tensor_bool_double_double)
   LOAD_SYMBOL(_lantern_native_batch_norm_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_double_double)
   LOAD_SYMBOL(_lantern__native_batch_norm_legit_tensor_tensor_tensor_tensor_tensor_bool_double_double)
+  LOAD_SYMBOL(_lantern__native_batch_norm_legit_no_training_tensor_tensor_tensor_tensor_tensor_double_double)
   LOAD_SYMBOL(_lantern__native_batch_norm_legit_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_double_double)
   LOAD_SYMBOL(_lantern__native_batch_norm_legit_tensor_tensor_tensor_bool_double_double)
   LOAD_SYMBOL(_lantern__native_batch_norm_legit_out_tensor_tensor_tensor_tensor_tensor_tensor_bool_double_double)
@@ -11398,6 +11770,8 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_slice_tensor_intt_intt_intt_intt)
   LOAD_SYMBOL(_lantern_Tensor_slice_tensor_intt_intt_intt_intt)
   LOAD_SYMBOL(_lantern_slice_backward_tensor_intarrayref_intt_intt_intt_intt)
+  LOAD_SYMBOL(_lantern_slice_inverse_tensor_tensor_intt_intt_intt_intt)
+  LOAD_SYMBOL(_lantern_Tensor_slice_inverse_tensor_tensor_intt_intt_intt_intt)
   LOAD_SYMBOL(_lantern_slice_scatter_tensor_tensor_intt_intt_intt_intt)
   LOAD_SYMBOL(_lantern_Tensor_slice_scatter_tensor_tensor_intt_intt_intt_intt)
   LOAD_SYMBOL(_lantern_select_scatter_tensor_tensor_intt_intt)
@@ -11454,6 +11828,8 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_sspaddmm_tensor_tensor_tensor_scalar_scalar)
   LOAD_SYMBOL(_lantern_Tensor_sspaddmm_tensor_tensor_tensor_scalar_scalar)
   LOAD_SYMBOL(_lantern_sspaddmm_out_tensor_tensor_tensor_tensor_scalar_scalar)
+  LOAD_SYMBOL(_lantern__chunk_cat_tensorlist_intt_intt)
+  LOAD_SYMBOL(_lantern__chunk_cat_out_tensor_tensorlist_intt_intt)
   LOAD_SYMBOL(_lantern_stack_tensorlist_intt)
   LOAD_SYMBOL(_lantern_stack_out_tensor_tensorlist_intt)
   LOAD_SYMBOL(_lantern__stack_tensorlist_intt)
@@ -11501,21 +11877,21 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_Tensor_std_tensor_bool)
   LOAD_SYMBOL(_lantern_std_tensor_intarrayref_bool_bool)
   LOAD_SYMBOL(_lantern_Tensor_std_tensor_intarrayref_bool_bool)
-  LOAD_SYMBOL(_lantern_std_tensor_intarrayref_intt_bool)
-  LOAD_SYMBOL(_lantern_Tensor_std_tensor_intarrayref_intt_bool)
+  LOAD_SYMBOL(_lantern_std_tensor_intarrayref_scalar_bool)
+  LOAD_SYMBOL(_lantern_Tensor_std_tensor_intarrayref_scalar_bool)
   LOAD_SYMBOL(_lantern_std_mean_tensor_bool)
   LOAD_SYMBOL(_lantern_std_mean_tensor_intarrayref_bool_bool)
-  LOAD_SYMBOL(_lantern_std_mean_tensor_intarrayref_intt_bool)
+  LOAD_SYMBOL(_lantern_std_mean_tensor_intarrayref_scalar_bool)
   LOAD_SYMBOL(_lantern_std_mean_tensor_dimnamelist_bool_bool)
-  LOAD_SYMBOL(_lantern_std_mean_tensor_dimnamelist_intt_bool)
+  LOAD_SYMBOL(_lantern_std_mean_tensor_dimnamelist_scalar_bool)
   LOAD_SYMBOL(_lantern_std_out_tensor_tensor_intarrayref_bool_bool)
-  LOAD_SYMBOL(_lantern_std_out_tensor_tensor_intarrayref_intt_bool)
+  LOAD_SYMBOL(_lantern_std_out_tensor_tensor_intarrayref_scalar_bool)
   LOAD_SYMBOL(_lantern_std_tensor_dimnamelist_bool_bool)
   LOAD_SYMBOL(_lantern_Tensor_std_tensor_dimnamelist_bool_bool)
   LOAD_SYMBOL(_lantern_std_out_tensor_tensor_dimnamelist_bool_bool)
-  LOAD_SYMBOL(_lantern_std_tensor_dimnamelist_intt_bool)
-  LOAD_SYMBOL(_lantern_Tensor_std_tensor_dimnamelist_intt_bool)
-  LOAD_SYMBOL(_lantern_std_out_tensor_tensor_dimnamelist_intt_bool)
+  LOAD_SYMBOL(_lantern_std_tensor_dimnamelist_scalar_bool)
+  LOAD_SYMBOL(_lantern_Tensor_std_tensor_dimnamelist_scalar_bool)
+  LOAD_SYMBOL(_lantern_std_out_tensor_tensor_dimnamelist_scalar_bool)
   LOAD_SYMBOL(_lantern_prod_tensor_scalartype)
   LOAD_SYMBOL(_lantern_Tensor_prod_tensor_scalartype)
   LOAD_SYMBOL(_lantern_prod_tensor_intt_bool_scalartype)
@@ -11574,10 +11950,21 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern__nested_from_padded_tensor_tensor_bool)
   LOAD_SYMBOL(_lantern_Tensor__nested_tensor_size_tensor)
   LOAD_SYMBOL(_lantern_Tensor__nested_tensor_strides_tensor)
-  LOAD_SYMBOL(_lantern_Tensor__nested_tensor_offsets_tensor)
+  LOAD_SYMBOL(_lantern_Tensor__nested_tensor_storage_offsets_tensor)
   LOAD_SYMBOL(_lantern__nested_from_padded_and_nested_example_tensor_tensor)
-  LOAD_SYMBOL(_lantern__nested_view_from_buffer_tensor_tensor_tensor_intarrayref)
-  LOAD_SYMBOL(_lantern__nested_view_from_buffer_copy_tensor_tensor_tensor_intarrayref)
+  LOAD_SYMBOL(_lantern__nested_view_from_buffer_tensor_tensor_tensor_tensor)
+  LOAD_SYMBOL(_lantern__nested_view_from_buffer_copy_tensor_tensor_tensor_tensor)
+  LOAD_SYMBOL(_lantern__nested_view_from_jagged_tensor_tensor_tensor_tensor_intt_tensor_tensor)
+  LOAD_SYMBOL(_lantern__nested_view_from_jagged_copy_tensor_tensor_tensor_tensor_intt_tensor_tensor)
+  LOAD_SYMBOL(_lantern__nested_get_values_tensor)
+  LOAD_SYMBOL(_lantern__nested_get_values_copy_tensor)
+  LOAD_SYMBOL(_lantern__nested_get_offsets_tensor)
+  LOAD_SYMBOL(_lantern__nested_get_lengths_tensor)
+  LOAD_SYMBOL(_lantern__nested_get_ragged_idx_tensor)
+  LOAD_SYMBOL(_lantern__nested_get_min_seqlen_tensor)
+  LOAD_SYMBOL(_lantern__nested_get_max_seqlen_tensor)
+  LOAD_SYMBOL(_lantern__nested_get_jagged_dummy_tensor)
+  LOAD_SYMBOL(_lantern__nested_compute_contiguous_strides_offsets_tensor)
   LOAD_SYMBOL(_lantern__trilinear_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt)
   LOAD_SYMBOL(_lantern_triplet_margin_loss_tensor_tensor_tensor_double_double_double_bool_intt)
   LOAD_SYMBOL(_lantern_trunc_tensor)
@@ -11606,21 +11993,21 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_Tensor_var_tensor_bool)
   LOAD_SYMBOL(_lantern_var_tensor_intarrayref_bool_bool)
   LOAD_SYMBOL(_lantern_Tensor_var_tensor_intarrayref_bool_bool)
-  LOAD_SYMBOL(_lantern_var_tensor_intarrayref_intt_bool)
-  LOAD_SYMBOL(_lantern_Tensor_var_tensor_intarrayref_intt_bool)
+  LOAD_SYMBOL(_lantern_var_tensor_intarrayref_scalar_bool)
+  LOAD_SYMBOL(_lantern_Tensor_var_tensor_intarrayref_scalar_bool)
   LOAD_SYMBOL(_lantern_var_out_tensor_tensor_intarrayref_bool_bool)
-  LOAD_SYMBOL(_lantern_var_out_tensor_tensor_intarrayref_intt_bool)
+  LOAD_SYMBOL(_lantern_var_out_tensor_tensor_intarrayref_scalar_bool)
   LOAD_SYMBOL(_lantern_var_tensor_dimnamelist_bool_bool)
   LOAD_SYMBOL(_lantern_Tensor_var_tensor_dimnamelist_bool_bool)
   LOAD_SYMBOL(_lantern_var_out_tensor_tensor_dimnamelist_bool_bool)
-  LOAD_SYMBOL(_lantern_var_tensor_dimnamelist_intt_bool)
-  LOAD_SYMBOL(_lantern_Tensor_var_tensor_dimnamelist_intt_bool)
-  LOAD_SYMBOL(_lantern_var_out_tensor_tensor_dimnamelist_intt_bool)
+  LOAD_SYMBOL(_lantern_var_tensor_dimnamelist_scalar_bool)
+  LOAD_SYMBOL(_lantern_Tensor_var_tensor_dimnamelist_scalar_bool)
+  LOAD_SYMBOL(_lantern_var_out_tensor_tensor_dimnamelist_scalar_bool)
   LOAD_SYMBOL(_lantern_var_mean_tensor_bool)
   LOAD_SYMBOL(_lantern_var_mean_tensor_intarrayref_bool_bool)
-  LOAD_SYMBOL(_lantern_var_mean_tensor_intarrayref_intt_bool)
+  LOAD_SYMBOL(_lantern_var_mean_tensor_intarrayref_scalar_bool)
   LOAD_SYMBOL(_lantern_var_mean_tensor_dimnamelist_bool_bool)
-  LOAD_SYMBOL(_lantern_var_mean_tensor_dimnamelist_intt_bool)
+  LOAD_SYMBOL(_lantern_var_mean_tensor_dimnamelist_scalar_bool)
   LOAD_SYMBOL(_lantern_Tensor_view_as_tensor_tensor)
   LOAD_SYMBOL(_lantern_where_tensor_tensor_tensor)
   LOAD_SYMBOL(_lantern_Tensor_where_tensor_tensor_tensor)
@@ -11648,6 +12035,10 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_binomial_tensor_tensor_generator)
   LOAD_SYMBOL(_lantern_native_norm_tensor_scalar)
   LOAD_SYMBOL(_lantern_native_norm_tensor_scalar_intarrayref_bool_scalartype)
+  LOAD_SYMBOL(_lantern__batch_norm_with_update_tensor_tensor_tensor_tensor_tensor_double_double)
+  LOAD_SYMBOL(_lantern__batch_norm_with_update_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_double)
+  LOAD_SYMBOL(_lantern__batch_norm_no_update_tensor_tensor_tensor_tensor_tensor_double_double)
+  LOAD_SYMBOL(_lantern_batch_norm_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_double_stdarraybool_tensor)
   LOAD_SYMBOL(_lantern__sparse_sum_tensor)
   LOAD_SYMBOL(_lantern__sparse_sum_tensor_scalartype)
   LOAD_SYMBOL(_lantern__sparse_sum_tensor_intarrayref)
@@ -11731,6 +12122,9 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern__addmm_activation_out_tensor_tensor_tensor_tensor_scalar_scalar_bool)
   LOAD_SYMBOL(_lantern__addmm_activation_tensor_tensor_tensor_scalar_scalar_bool)
   LOAD_SYMBOL(_lantern_Tensor__addmm_activation_tensor_tensor_tensor_scalar_scalar_bool)
+  LOAD_SYMBOL(_lantern__scaled_mm_tensor_tensor_tensor_tensor_tensor_tensor_scalartype_bool)
+  LOAD_SYMBOL(_lantern__scaled_mm_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_scalartype_bool)
+  LOAD_SYMBOL(_lantern__sparse_compressed_tensor_with_dims_intt_intt_intarrayref_intarrayref_scalartype_tensoroptions)
   LOAD_SYMBOL(_lantern_sparse_compressed_tensor_tensor_tensor_tensor_intarrayref_tensoroptions)
   LOAD_SYMBOL(_lantern_sparse_csr_tensor_tensor_tensor_tensor_intarrayref_tensoroptions)
   LOAD_SYMBOL(_lantern_sparse_csc_tensor_tensor_tensor_tensor_intarrayref_tensoroptions)
@@ -11747,24 +12141,25 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern__sparse_bsr_tensor_unsafe_tensor_tensor_tensor_intarrayref_tensoroptions)
   LOAD_SYMBOL(_lantern__sparse_bsc_tensor_unsafe_tensor_tensor_tensor_intarrayref_tensoroptions)
   LOAD_SYMBOL(_lantern_sparse_coo_tensor_intarrayref_tensoroptions)
-  LOAD_SYMBOL(_lantern_sparse_coo_tensor_tensor_tensor_tensoroptions)
-  LOAD_SYMBOL(_lantern_sparse_coo_tensor_tensor_tensor_intarrayref_tensoroptions)
-  LOAD_SYMBOL(_lantern__sparse_coo_tensor_unsafe_tensor_tensor_intarrayref_tensoroptions)
-  LOAD_SYMBOL(_lantern__validate_sparse_coo_tensor_args_tensor_tensor_intarrayref)
+  LOAD_SYMBOL(_lantern_sparse_coo_tensor_tensor_tensor_tensoroptions_bool)
+  LOAD_SYMBOL(_lantern_sparse_coo_tensor_tensor_tensor_intarrayref_tensoroptions_bool)
+  LOAD_SYMBOL(_lantern__sparse_coo_tensor_unsafe_tensor_tensor_intarrayref_tensoroptions_bool)
+  LOAD_SYMBOL(_lantern__validate_sparse_coo_tensor_args_tensor_tensor_intarrayref_bool)
   LOAD_SYMBOL(_lantern__validate_sparse_compressed_tensor_args_tensor_tensor_tensor_intarrayref_layout)
   LOAD_SYMBOL(_lantern__validate_sparse_csr_tensor_args_tensor_tensor_tensor_intarrayref)
   LOAD_SYMBOL(_lantern__validate_sparse_csc_tensor_args_tensor_tensor_tensor_intarrayref)
   LOAD_SYMBOL(_lantern__validate_sparse_bsr_tensor_args_tensor_tensor_tensor_intarrayref)
   LOAD_SYMBOL(_lantern__validate_sparse_bsc_tensor_args_tensor_tensor_tensor_intarrayref)
   LOAD_SYMBOL(_lantern__sparse_coo_tensor_with_dims_intt_intt_intarrayref_tensoroptions)
-  LOAD_SYMBOL(_lantern__sparse_coo_tensor_with_dims_and_tensors_intt_intt_intarrayref_tensor_tensor_tensoroptions)
+  LOAD_SYMBOL(_lantern__sparse_coo_tensor_with_dims_and_tensors_intt_intt_intarrayref_tensor_tensor_tensoroptions_bool)
   LOAD_SYMBOL(_lantern_Tensor_sparse_resize__tensor_intarrayref_intt_intt)
   LOAD_SYMBOL(_lantern_Tensor_sparse_resize_and_clear__tensor_intarrayref_intt_intt)
   LOAD_SYMBOL(_lantern_Tensor_sparse_mask_tensor_tensor)
+  LOAD_SYMBOL(_lantern_Tensor__sparse_mask_projection_tensor_tensor_bool)
   LOAD_SYMBOL(_lantern__to_cpu_tensorlist)
-  LOAD_SYMBOL(_lantern_Tensor_to_dense_tensor_scalartype)
-  LOAD_SYMBOL(_lantern_Tensor__to_dense_tensor_scalartype)
-  LOAD_SYMBOL(_lantern_to_dense_backward_tensor_tensor)
+  LOAD_SYMBOL(_lantern_Tensor_to_dense_tensor_scalartype_bool)
+  LOAD_SYMBOL(_lantern_Tensor__to_dense_tensor_scalartype_bool)
+  LOAD_SYMBOL(_lantern_to_dense_backward_tensor_tensor_bool)
   LOAD_SYMBOL(_lantern_Tensor_sparse_dim_tensor)
   LOAD_SYMBOL(_lantern_Tensor__dimi_tensor)
   LOAD_SYMBOL(_lantern_Tensor_dense_dim_tensor)
@@ -11790,14 +12185,21 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_unbind_tensor_dimname)
   LOAD_SYMBOL(_lantern_Tensor_unbind_tensor_dimname)
   LOAD_SYMBOL(_lantern_Tensor_to_sparse_tensor_intt)
+  LOAD_SYMBOL(_lantern_Tensor__to_sparse_tensor_intt)
   LOAD_SYMBOL(_lantern_Tensor_to_sparse_tensor_layout_intarrayref_intt)
+  LOAD_SYMBOL(_lantern_Tensor__to_sparse_tensor_layout_intarrayref_intt)
   LOAD_SYMBOL(_lantern_Tensor_to_sparse_csr_tensor_intt)
+  LOAD_SYMBOL(_lantern_Tensor__to_sparse_csr_tensor_intt)
   LOAD_SYMBOL(_lantern_Tensor_to_sparse_csc_tensor_intt)
+  LOAD_SYMBOL(_lantern_Tensor__to_sparse_csc_tensor_intt)
   LOAD_SYMBOL(_lantern_Tensor_to_sparse_bsr_tensor_intarrayref_intt)
+  LOAD_SYMBOL(_lantern_Tensor__to_sparse_bsr_tensor_intarrayref_intt)
   LOAD_SYMBOL(_lantern_Tensor_to_sparse_bsc_tensor_intarrayref_intt)
+  LOAD_SYMBOL(_lantern_Tensor__to_sparse_bsc_tensor_intarrayref_intt)
+  LOAD_SYMBOL(_lantern__to_sparse_semi_structured_tensor)
   LOAD_SYMBOL(_lantern_Tensor_to_mkldnn_tensor_scalartype)
   LOAD_SYMBOL(_lantern_mkldnn_reorder_conv2d_weight_tensor_intarrayref_intarrayref_intarrayref_intt_intarrayref)
-  LOAD_SYMBOL(_lantern_mkldnn_reorder_conv3d_weight_tensor_intarrayref_intarrayref_intarrayref_intt)
+  LOAD_SYMBOL(_lantern_mkldnn_reorder_conv3d_weight_tensor_intarrayref_intarrayref_intarrayref_intt_intarrayref)
   LOAD_SYMBOL(_lantern_to_mkldnn_backward_tensor_tensor)
   LOAD_SYMBOL(_lantern_quantize_per_tensor_dynamic_tensor_scalartype_bool)
   LOAD_SYMBOL(_lantern_quantize_per_tensor_tensor_double_intt_scalartype)
@@ -11904,6 +12306,7 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_Tensor_masked_scatter__tensor_tensor_tensor)
   LOAD_SYMBOL(_lantern_masked_scatter_tensor_tensor_tensor)
   LOAD_SYMBOL(_lantern_Tensor_masked_scatter_tensor_tensor_tensor)
+  LOAD_SYMBOL(_lantern_masked_scatter_backward_tensor_tensor_intarrayref)
   LOAD_SYMBOL(_lantern__masked_softmax_tensor_tensor_intt_intt)
   LOAD_SYMBOL(_lantern__masked_softmax_backward_tensor_tensor_tensor_intt)
   LOAD_SYMBOL(_lantern_Tensor_view_tensor_intarrayref)
@@ -12180,6 +12583,9 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_nonzero_out_tensor_tensor)
   LOAD_SYMBOL(_lantern_nonzero_tensor)
   LOAD_SYMBOL(_lantern_Tensor_nonzero_tensor)
+  LOAD_SYMBOL(_lantern_nonzero_static_out_tensor_tensor_intt_intt)
+  LOAD_SYMBOL(_lantern_nonzero_static_tensor_intt_intt)
+  LOAD_SYMBOL(_lantern_Tensor_nonzero_static_tensor_intt_intt)
   LOAD_SYMBOL(_lantern_nonzero_numpy_tensor)
   LOAD_SYMBOL(_lantern_Tensor_nonzero_numpy_tensor)
   LOAD_SYMBOL(_lantern_argwhere_tensor)
@@ -12339,6 +12745,7 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_remainder_scalar_tensor)
   LOAD_SYMBOL(_lantern_min_tensor)
   LOAD_SYMBOL(_lantern_Tensor_min_tensor)
+  LOAD_SYMBOL(_lantern_min_out_tensor_tensor)
   LOAD_SYMBOL(_lantern_fmin_tensor_tensor)
   LOAD_SYMBOL(_lantern_Tensor_fmin_tensor_tensor)
   LOAD_SYMBOL(_lantern_fmin_out_tensor_tensor_tensor)
@@ -12391,6 +12798,7 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_Tensor_argsort_tensor_intt_bool)
   LOAD_SYMBOL(_lantern_argsort_tensor_bool_intt_bool)
   LOAD_SYMBOL(_lantern_Tensor_argsort_tensor_bool_intt_bool)
+  LOAD_SYMBOL(_lantern_argsort_out_tensor_tensor_bool_intt_bool)
   LOAD_SYMBOL(_lantern_argsort_tensor_dimname_bool)
   LOAD_SYMBOL(_lantern_Tensor_argsort_tensor_dimname_bool)
   LOAD_SYMBOL(_lantern_topk_out_tensor_tensor_tensor_intt_intt_bool_bool)
@@ -12442,57 +12850,70 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern__amp_update_scale__tensor_tensor_tensor_double_double_intt)
   LOAD_SYMBOL(_lantern__foreach_add_tensorlist_scalar)
   LOAD_SYMBOL(_lantern__foreach_add__tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_sub_tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_sub__tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_mul_tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_mul__tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_div_tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_div__tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_clamp_min_tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_clamp_min__tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_clamp_max_tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_clamp_max__tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_maximum_tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_maximum__tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_minimum_tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_minimum__tensorlist_scalar)
   LOAD_SYMBOL(_lantern__foreach_add_tensorlist_tensorlist_scalar)
   LOAD_SYMBOL(_lantern__foreach_add__tensorlist_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_add_tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_add__tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_add_tensorlist_tensor_scalar)
+  LOAD_SYMBOL(_lantern__foreach_add__tensorlist_tensor_scalar)
+  LOAD_SYMBOL(_lantern__foreach_sub_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_sub__tensorlist_scalar)
   LOAD_SYMBOL(_lantern__foreach_sub_tensorlist_tensorlist_scalar)
   LOAD_SYMBOL(_lantern__foreach_sub__tensorlist_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_sub_tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_sub__tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_mul_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_mul__tensorlist_scalar)
   LOAD_SYMBOL(_lantern__foreach_mul_tensorlist_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_mul__tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_mul_tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_mul__tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_mul_tensorlist_tensor)
+  LOAD_SYMBOL(_lantern__foreach_mul__tensorlist_tensor)
+  LOAD_SYMBOL(_lantern__foreach_div_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_div__tensorlist_scalar)
   LOAD_SYMBOL(_lantern__foreach_div_tensorlist_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_div__tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_clamp_min_tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_clamp_min__tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_clamp_max_tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_clamp_max__tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_maximum_tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_maximum__tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_minimum_tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_minimum__tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_add_tensorlist_arrayrefscalar)
-  LOAD_SYMBOL(_lantern__foreach_add__tensorlist_arrayrefscalar)
-  LOAD_SYMBOL(_lantern__foreach_sub_tensorlist_arrayrefscalar)
-  LOAD_SYMBOL(_lantern__foreach_sub__tensorlist_arrayrefscalar)
   LOAD_SYMBOL(_lantern__foreach_div_tensorlist_arrayrefscalar)
   LOAD_SYMBOL(_lantern__foreach_div__tensorlist_arrayrefscalar)
-  LOAD_SYMBOL(_lantern__foreach_mul_tensorlist_arrayrefscalar)
-  LOAD_SYMBOL(_lantern__foreach_mul__tensorlist_arrayrefscalar)
-  LOAD_SYMBOL(_lantern__foreach_clamp_min_tensorlist_arrayrefscalar)
-  LOAD_SYMBOL(_lantern__foreach_clamp_min__tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_div_tensorlist_tensor)
+  LOAD_SYMBOL(_lantern__foreach_div__tensorlist_tensor)
+  LOAD_SYMBOL(_lantern__foreach_clamp_max_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_clamp_max__tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_clamp_max_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_clamp_max__tensorlist_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_clamp_max_tensorlist_arrayrefscalar)
   LOAD_SYMBOL(_lantern__foreach_clamp_max__tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_clamp_min_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_clamp_min__tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_clamp_min_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_clamp_min__tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_clamp_min_tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_clamp_min__tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_maximum_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_maximum__tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_maximum_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_maximum__tensorlist_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_maximum_tensorlist_arrayrefscalar)
   LOAD_SYMBOL(_lantern__foreach_maximum__tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_minimum_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_minimum__tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_minimum_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_minimum__tensorlist_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_minimum_tensorlist_arrayrefscalar)
   LOAD_SYMBOL(_lantern__foreach_minimum__tensorlist_arrayrefscalar)
-  LOAD_SYMBOL(_lantern__foreach_exp_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_zero__tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_exp__tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_sqrt_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_sqrt__tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_tensor)
+  LOAD_SYMBOL(_lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_tensor)
+  LOAD_SYMBOL(_lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_tensor)
+  LOAD_SYMBOL(_lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_tensor)
   LOAD_SYMBOL(_lantern__foreach_abs_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_abs__tensorlist)
   LOAD_SYMBOL(_lantern__foreach_acos_tensorlist)
@@ -12511,10 +12932,20 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern__foreach_erf__tensorlist)
   LOAD_SYMBOL(_lantern__foreach_erfc_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_erfc__tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_exp_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_exp__tensorlist)
   LOAD_SYMBOL(_lantern__foreach_expm1_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_expm1__tensorlist)
   LOAD_SYMBOL(_lantern__foreach_floor_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_floor__tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_frac_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_frac__tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_lerp_tensorlist_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_lerp__tensorlist_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_lerp_tensorlist_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_lerp__tensorlist_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_lgamma_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_lgamma__tensorlist)
   LOAD_SYMBOL(_lantern__foreach_log_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_log__tensorlist)
   LOAD_SYMBOL(_lantern__foreach_log10_tensorlist)
@@ -12523,51 +12954,47 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern__foreach_log1p__tensorlist)
   LOAD_SYMBOL(_lantern__foreach_log2_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_log2__tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_max_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_neg_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_neg__tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_tan_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_tan__tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_tanh_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_tanh__tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_sin_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_sin__tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_sinh_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_sinh__tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_round_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_round__tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_lgamma_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_lgamma__tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_frac_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_frac__tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_norm_tensorlist_scalar_scalartype)
+  LOAD_SYMBOL(_lantern__foreach_pow_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_pow_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_pow_tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_pow_scalar_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_pow__tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_pow__tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_pow__tensorlist_arrayrefscalar)
   LOAD_SYMBOL(_lantern__foreach_reciprocal_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_reciprocal__tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_round_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_round__tensorlist)
   LOAD_SYMBOL(_lantern__foreach_sigmoid_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_sigmoid__tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_sign_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_sign__tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_sin_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_sin__tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_sinh_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_sinh__tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_sqrt_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_sqrt__tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_tan_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_tan__tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_tanh_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_tanh__tensorlist)
   LOAD_SYMBOL(_lantern__foreach_trunc_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_trunc__tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_arrayrefscalar)
-  LOAD_SYMBOL(_lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_tensor)
-  LOAD_SYMBOL(_lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_arrayrefscalar)
-  LOAD_SYMBOL(_lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_tensor)
-  LOAD_SYMBOL(_lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_arrayrefscalar)
-  LOAD_SYMBOL(_lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_tensor)
-  LOAD_SYMBOL(_lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_arrayrefscalar)
-  LOAD_SYMBOL(_lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_tensor)
-  LOAD_SYMBOL(_lantern__foreach_norm_tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_lerp_tensorlist_tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_lerp__tensorlist_tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_lerp_tensorlist_tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_lerp__tensorlist_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_zero__tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_copy__tensorlist_tensorlist_bool)
+  LOAD_SYMBOL(_lantern__foreach_copy_tensorlist_tensorlist_bool)
   LOAD_SYMBOL(_lantern_bucketize_tensor_tensor_bool_bool)
   LOAD_SYMBOL(_lantern_bucketize_out_tensor_tensor_tensor_bool_bool)
   LOAD_SYMBOL(_lantern_bucketize_scalar_tensor_bool_bool)
   LOAD_SYMBOL(_lantern_searchsorted_tensor_tensor_bool_bool_cstringview_tensor)
   LOAD_SYMBOL(_lantern_searchsorted_out_tensor_tensor_tensor_bool_bool_cstringview_tensor)
   LOAD_SYMBOL(_lantern_searchsorted_tensor_scalar_bool_bool_cstringview_tensor)
+  LOAD_SYMBOL(_lantern_searchsorted_out_tensor_tensor_scalar_bool_bool_cstringview_tensor)
   LOAD_SYMBOL(_lantern__convert_indices_from_coo_to_csr_tensor_intt_bool)
   LOAD_SYMBOL(_lantern__convert_indices_from_coo_to_csr_out_tensor_tensor_intt_bool)
   LOAD_SYMBOL(_lantern__convert_indices_from_csr_to_coo_tensor_tensor_bool_bool)
@@ -12998,6 +13425,7 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_Tensor_logdet_tensor)
   LOAD_SYMBOL(_lantern_linalg_eig_tensor)
   LOAD_SYMBOL(_lantern_linalg_eig_out_tensor_tensor_tensor)
+  LOAD_SYMBOL(_lantern__linalg_eigvals_tensor)
   LOAD_SYMBOL(_lantern_linalg_eigvals_tensor)
   LOAD_SYMBOL(_lantern_linalg_eigvals_out_tensor_tensor)
   LOAD_SYMBOL(_lantern__linalg_eigh_tensor_cstringview_bool)
@@ -13057,6 +13485,7 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_linalg_solve_ex_tensor_tensor_bool_bool)
   LOAD_SYMBOL(_lantern_linalg_solve_ex_out_tensor_tensor_tensor_tensor_bool_bool)
   LOAD_SYMBOL(_lantern_linalg_solve_tensor_tensor_bool)
+  LOAD_SYMBOL(_lantern__spsolve_tensor_tensor_bool)
   LOAD_SYMBOL(_lantern_linalg_solve_out_tensor_tensor_tensor_bool)
   LOAD_SYMBOL(_lantern_linalg_tensorinv_tensor_intt)
   LOAD_SYMBOL(_lantern_linalg_tensorinv_out_tensor_tensor_intt)
@@ -13078,6 +13507,7 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_linalg_multi_dot_out_tensor_tensorlist)
   LOAD_SYMBOL(_lantern_nested_to_padded_tensor_tensor_double_intarrayref)
   LOAD_SYMBOL(_lantern__test_serialization_subcmul_tensor_tensor_scalar)
+  LOAD_SYMBOL(_lantern__test_parallel_materialize_tensor_intt_bool)
   LOAD_SYMBOL(_lantern__test_optional_intlist_tensor_intarrayref)
   LOAD_SYMBOL(_lantern__test_optional_filled_intlist_tensor_intarrayref)
   LOAD_SYMBOL(_lantern__test_optional_floatlist_tensor_arrayrefdouble)
@@ -13091,7 +13521,7 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern__test_autograd_multiple_dispatch_view_copy_tensor)
   LOAD_SYMBOL(_lantern_segment_reduce_tensor_cstringview_tensor_tensor_tensor_intt_bool_scalar)
   LOAD_SYMBOL(_lantern__segment_reduce_backward_tensor_tensor_tensor_cstringview_tensor_tensor_intt_scalar)
-  LOAD_SYMBOL(_lantern_pad_sequence_tensorlist_bool_double)
+  LOAD_SYMBOL(_lantern_pad_sequence_tensorlist_bool_double_cstringview)
   LOAD_SYMBOL(_lantern_flatten_dense_tensors_tensorlist)
   LOAD_SYMBOL(_lantern_unflatten_dense_tensors_tensor_tensorlist)
   LOAD_SYMBOL(_lantern__nested_tensor_from_tensor_list_tensorlist_scalartype_layout_device_bool)
@@ -13135,28 +13565,35 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_unfold_copy_tensor_intt_intt_intt)
   LOAD_SYMBOL(_lantern_alias_copy_tensor)
   LOAD_SYMBOL(_lantern_Tensor_to_padded_tensor_tensor_double_intarrayref)
+  LOAD_SYMBOL(_lantern__jagged_to_padded_dense_forward_tensor_tensorlist_intarrayref_double)
+  LOAD_SYMBOL(_lantern__padded_dense_to_jagged_forward_tensor_tensorlist_intt)
   LOAD_SYMBOL(_lantern__nested_tensor_softmax_with_shape_tensor_tensor)
+  LOAD_SYMBOL(_lantern__safe_softmax_tensor_intt_scalartype)
   LOAD_SYMBOL(_lantern__transformer_encoder_layer_fwd_tensor_intt_intt_tensor_tensor_tensor_tensor_bool_bool_double_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt)
   LOAD_SYMBOL(_lantern__native_multi_head_attention_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_tensor_bool_bool_intt)
-  LOAD_SYMBOL(_lantern_scaled_dot_product_attention_tensor_tensor_tensor_tensor_double_bool)
-  LOAD_SYMBOL(_lantern__scaled_dot_product_attention_tensor_tensor_tensor_tensor_double_bool_bool)
-  LOAD_SYMBOL(_lantern__fused_sdp_choice_tensor_tensor_tensor_tensor_double_bool)
-  LOAD_SYMBOL(_lantern__scaled_dot_product_attention_math_tensor_tensor_tensor_tensor_double_bool_tensor)
-  LOAD_SYMBOL(_lantern__scaled_dot_product_flash_attention_tensor_tensor_tensor_double_bool_bool)
-  LOAD_SYMBOL(_lantern__scaled_dot_product_flash_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_intt_intt)
-  LOAD_SYMBOL(_lantern__scaled_dot_product_efficient_attention_tensor_tensor_tensor_bool_bool)
-  LOAD_SYMBOL(_lantern__scaled_dot_product_efficient_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_bool_bool)
-  LOAD_SYMBOL(_lantern__chunk_grad_outputs_efficient_attention_tensor_tensor_tensor_bool)
-  LOAD_SYMBOL(_lantern__flash_attention_forward_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_bool)
-  LOAD_SYMBOL(_lantern__flash_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_intt_intt)
-  LOAD_SYMBOL(_lantern__efficient_attention_forward_tensor_tensor_tensor_tensor_tensor_intt_bool_bool)
-  LOAD_SYMBOL(_lantern__efficient_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_bool_bool)
+  LOAD_SYMBOL(_lantern_scaled_dot_product_attention_tensor_tensor_tensor_tensor_double_bool_double_bool)
+  LOAD_SYMBOL(_lantern__fused_sdp_choice_tensor_tensor_tensor_tensor_double_bool_double_bool)
+  LOAD_SYMBOL(_lantern__scaled_dot_product_attention_math_tensor_tensor_tensor_tensor_double_bool_tensor_double_bool)
+  LOAD_SYMBOL(_lantern__scaled_dot_product_attention_math_for_mps_tensor_tensor_tensor_tensor_double_bool_tensor_double)
+  LOAD_SYMBOL(_lantern__scaled_dot_product_flash_attention_tensor_tensor_tensor_double_bool_bool_double)
+  LOAD_SYMBOL(_lantern__scaled_dot_product_flash_attention_for_cpu_tensor_tensor_tensor_double_bool_tensor_double)
+  LOAD_SYMBOL(_lantern__scaled_dot_product_fused_attention_overrideable_tensor_tensor_tensor_tensor_double_bool_bool_double)
+  LOAD_SYMBOL(_lantern__scaled_dot_product_flash_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_tensor_tensor_double)
+  LOAD_SYMBOL(_lantern__scaled_dot_product_flash_attention_for_cpu_backward_tensor_tensor_tensor_tensor_tensor_tensor_double_bool_tensor_double)
+  LOAD_SYMBOL(_lantern__scaled_dot_product_fused_attention_overrideable_backward_tensor_tensor_tensor_tensor_tensor_stdarraybool_tensor_tensor_tensor_tensor_intt_intt_double_bool_tensor_tensor_double)
+  LOAD_SYMBOL(_lantern__scaled_dot_product_efficient_attention_tensor_tensor_tensor_tensor_bool_double_bool_double)
+  LOAD_SYMBOL(_lantern__scaled_dot_product_efficient_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_stdarraybool_bool_double)
+  LOAD_SYMBOL(_lantern__scaled_dot_product_cudnn_attention_tensor_tensor_tensor_tensor_bool_double_bool_bool_double)
+  LOAD_SYMBOL(_lantern__scaled_dot_product_cudnn_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_double)
+  LOAD_SYMBOL(_lantern__flash_attention_forward_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_bool_double_intt_intt_tensor_tensor)
+  LOAD_SYMBOL(_lantern__flash_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_tensor_tensor_double_intt_intt)
+  LOAD_SYMBOL(_lantern__efficient_attention_forward_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_intt_bool_double_tensor_intt)
+  LOAD_SYMBOL(_lantern__efficient_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_tensor_double_tensor_tensor_intt_bool_double_intt_intt_bool)
   LOAD_SYMBOL(_lantern__triton_scaled_dot_attention_tensor_tensor_tensor_double)
+  LOAD_SYMBOL(_lantern__fill_mem_eff_dropout_mask__tensor_double_intt_intt)
   LOAD_SYMBOL(_lantern__triton_multi_head_attention_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_tensor)
   LOAD_SYMBOL(_lantern_special_airy_ai_tensor)
   LOAD_SYMBOL(_lantern_special_airy_ai_out_tensor_tensor)
-  LOAD_SYMBOL(_lantern__transformer_decoder_only_layer_fwd_tensor_intt_intt_tensor_tensor_tensor_tensor_bool_bool_double_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor)
-  LOAD_SYMBOL(_lantern__native_decoder_only_multi_head_attention_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_bool)
   LOAD_SYMBOL(_lantern_special_bessel_j0_tensor)
   LOAD_SYMBOL(_lantern_special_bessel_j0_out_tensor_tensor)
   LOAD_SYMBOL(_lantern_special_bessel_j1_tensor)
@@ -13253,7 +13690,13 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_special_spherical_bessel_j0_out_tensor_tensor)
   LOAD_SYMBOL(_lantern__foobar_tensor_bool_bool_bool)
   LOAD_SYMBOL(_lantern__fused_adam__tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor)
+  LOAD_SYMBOL(_lantern__fused_adam__tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor)
   LOAD_SYMBOL(_lantern__fused_adamw__tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor)
+  LOAD_SYMBOL(_lantern__fused_adamw__tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor)
+  LOAD_SYMBOL(_lantern__fused_sgd__tensorlist_tensorlist_tensorlist_double_double_double_double_bool_bool_bool_tensor_tensor)
+  LOAD_SYMBOL(_lantern__fused_sgd__tensorlist_tensorlist_tensorlist_double_double_tensor_double_bool_bool_bool_tensor_tensor)
+  LOAD_SYMBOL(_lantern__fused_adagrad__tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_tensor_tensor)
+  LOAD_SYMBOL(_lantern__propagate_xla_data_tensor_tensor)
   LOAD_SYMBOL(_lantern__new_zeros_with_same_feature_meta_out_tensor_tensor_tensor_intt)
   LOAD_SYMBOL(_lantern__cudnn_ctc_loss_out_tensor_tensor_tensor_tensor_intarrayref_intarrayref_intt_bool_bool)
   LOAD_SYMBOL(_lantern__cudnn_rnn_flatten_weight_out_tensor_tensorlist_intt_intt_intt_intt_intt_intt_bool_bool)
@@ -13268,6 +13711,7 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern__add_relu_out_tensor_tensor_scalar_scalar)
   LOAD_SYMBOL(_lantern_add_out_tensor_tensor_scalar_scalar)
   LOAD_SYMBOL(_lantern_affine_grid_generator_out_tensor_tensor_intarrayref_bool)
+  LOAD_SYMBOL(_lantern__test_functorch_fallback_out_tensor_tensor_tensor)
   LOAD_SYMBOL(_lantern_bartlett_window_out_tensor_intt)
   LOAD_SYMBOL(_lantern_bartlett_window_out_tensor_intt_bool)
   LOAD_SYMBOL(_lantern_quantized_batch_norm_out_tensor_tensor_tensor_tensor_tensor_tensor_double_double_intt)
@@ -13295,7 +13739,6 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_cudnn_affine_grid_generator_backward_out_tensor_tensor_intt_intt_intt_intt)
   LOAD_SYMBOL(_lantern_cudnn_batch_norm_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_double_double)
   LOAD_SYMBOL(_lantern_cudnn_batch_norm_backward_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_tensor)
-  LOAD_SYMBOL(_lantern_cudnn_convolution_out_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intt_bool_bool_bool)
   LOAD_SYMBOL(_lantern_cudnn_convolution_transpose_out_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt_bool_bool_bool)
   LOAD_SYMBOL(_lantern__mps_convolution_transpose_out_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt)
   LOAD_SYMBOL(_lantern_mps_convolution_transpose_backward_out_tensor_tensor_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt_stdarraybool)
@@ -13319,6 +13762,7 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern__embedding_bag_dense_backward_out_tensor_tensor_tensor_tensor_tensor_tensor_intt_bool_intt_tensor_intt)
   LOAD_SYMBOL(_lantern__embedding_bag_per_sample_weights_backward_out_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt)
   LOAD_SYMBOL(_lantern_empty_out_tensor_intarrayref_dimnamelist_memoryformat)
+  LOAD_SYMBOL(_lantern_empty_permuted_out_tensor_intarrayref_intarrayref)
   LOAD_SYMBOL(_lantern_new_empty_out_tensor_tensor_intarrayref)
   LOAD_SYMBOL(_lantern_new_empty_strided_out_tensor_tensor_intarrayref_intarrayref)
   LOAD_SYMBOL(_lantern_new_full_out_tensor_tensor_intarrayref_scalar)
@@ -13335,6 +13779,7 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_empty_strided_out_tensor_intarrayref_intarrayref)
   LOAD_SYMBOL(_lantern_fill_out_tensor_tensor_scalar)
   LOAD_SYMBOL(_lantern_fill_out_tensor_tensor_tensor)
+  LOAD_SYMBOL(_lantern_floor_divide_out_tensor_tensor_scalar)
   LOAD_SYMBOL(_lantern_full_out_tensor_intarrayref_scalar_dimnamelist)
   LOAD_SYMBOL(_lantern_full_like_out_tensor_tensor_scalar_memoryformat)
   LOAD_SYMBOL(_lantern_from_file_out_tensor_cstringview_bool_intt)
@@ -13354,9 +13799,9 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_kaiser_window_out_tensor_intt_bool_double)
   LOAD_SYMBOL(_lantern_native_group_norm_out_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_intt_intt_double)
   LOAD_SYMBOL(_lantern_native_group_norm_backward_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_intt_intt_stdarraybool)
-  LOAD_SYMBOL(_lantern_index_put_out_tensor_tensor_constclistcoptionaltensor_tensor_bool)
-  LOAD_SYMBOL(_lantern__index_put_impl_out_tensor_tensor_constclistcoptionaltensor_tensor_bool_bool)
-  LOAD_SYMBOL(_lantern__index_put_impl_tensor_constclistcoptionaltensor_tensor_bool_bool)
+  LOAD_SYMBOL(_lantern_index_put_out_tensor_tensor_constcliststdoptionaltensor_tensor_bool)
+  LOAD_SYMBOL(_lantern__index_put_impl_out_tensor_tensor_constcliststdoptionaltensor_tensor_bool_bool)
+  LOAD_SYMBOL(_lantern__index_put_impl_tensor_constcliststdoptionaltensor_tensor_bool_bool)
   LOAD_SYMBOL(_lantern_isnan_out_tensor_tensor)
   LOAD_SYMBOL(_lantern_native_layer_norm_out_tensor_tensor_tensor_tensor_intarrayref_tensor_tensor_double)
   LOAD_SYMBOL(_lantern_native_layer_norm_backward_out_tensor_tensor_tensor_tensor_tensor_intarrayref_tensor_tensor_tensor_tensor_stdarraybool)
@@ -13375,6 +13820,7 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_mkldnn_max_pool3d_backward_out_tensor_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool)
   LOAD_SYMBOL(_lantern_quantized_max_pool1d_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool)
   LOAD_SYMBOL(_lantern_quantized_max_pool2d_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool)
+  LOAD_SYMBOL(_lantern_quantized_max_pool3d_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool)
   LOAD_SYMBOL(_lantern_median_out_tensor_tensor)
   LOAD_SYMBOL(_lantern_nanmedian_out_tensor_tensor)
   LOAD_SYMBOL(_lantern__mps_convolution_out_tensor_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intt)
@@ -13392,6 +13838,7 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern__sparse_sparse_matmul_out_tensor_tensor_tensor)
   LOAD_SYMBOL(_lantern_mul_out_tensor_tensor_scalar)
   LOAD_SYMBOL(_lantern__native_batch_norm_legit_functional_tensor_tensor_tensor_tensor_tensor_bool_double_double)
+  LOAD_SYMBOL(_lantern__native_batch_norm_legit_no_training_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_double)
   LOAD_SYMBOL(_lantern_batch_norm_stats_out_tensor_tensor_tensor_double)
   LOAD_SYMBOL(_lantern_batch_norm_gather_stats_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_double_intt)
   LOAD_SYMBOL(_lantern_batch_norm_gather_stats_with_counts_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_double_tensor)
@@ -13434,7 +13881,7 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_unsafe_split_out_tensorlist_tensor_intt_intt)
   LOAD_SYMBOL(_lantern_unsafe_split_with_sizes_out_tensorlist_tensor_intarrayref_intt)
   LOAD_SYMBOL(_lantern_sum_out_tensor_tensor_scalartype)
-  LOAD_SYMBOL(_lantern_std_mean_out_tensor_tensor_tensor_intarrayref_intt_bool)
+  LOAD_SYMBOL(_lantern_std_mean_out_tensor_tensor_tensor_intarrayref_scalar_bool)
   LOAD_SYMBOL(_lantern_prod_out_tensor_tensor_scalartype)
   LOAD_SYMBOL(_lantern__mkldnn_transpose_out_tensor_tensor_intt_intt)
   LOAD_SYMBOL(_lantern_flip_out_tensor_tensor_intarrayref)
@@ -13445,8 +13892,11 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern__nested_from_padded_out_tensor_tensor_tensor_bool)
   LOAD_SYMBOL(_lantern__nested_tensor_size_out_tensor_tensor)
   LOAD_SYMBOL(_lantern__nested_tensor_strides_out_tensor_tensor)
+  LOAD_SYMBOL(_lantern__nested_tensor_storage_offsets_out_tensor_tensor)
   LOAD_SYMBOL(_lantern__nested_from_padded_and_nested_example_out_tensor_tensor_tensor)
-  LOAD_SYMBOL(_lantern__nested_view_from_buffer_copy_out_tensor_tensor_tensor_tensor_intarrayref)
+  LOAD_SYMBOL(_lantern__nested_view_from_buffer_copy_out_tensor_tensor_tensor_tensor_tensor)
+  LOAD_SYMBOL(_lantern__nested_view_from_jagged_copy_out_tensor_tensor_tensor_tensor_tensor_intt_tensor_tensor)
+  LOAD_SYMBOL(_lantern__nested_get_values_copy_out_tensor_tensor)
   LOAD_SYMBOL(_lantern__trilinear_out_tensor_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt)
   LOAD_SYMBOL(_lantern__unique_out_tensor_tensor_tensor_bool_bool)
   LOAD_SYMBOL(_lantern_unique_dim_out_tensor_tensor_tensor_tensor_intt_bool_bool_bool)
@@ -13454,7 +13904,7 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_unique_dim_consecutive_out_tensor_tensor_tensor_tensor_intt_bool_bool)
   LOAD_SYMBOL(_lantern__unique2_out_tensor_tensor_tensor_tensor_bool_bool_bool)
   LOAD_SYMBOL(_lantern__unsafe_view_out_tensor_tensor_intarrayref)
-  LOAD_SYMBOL(_lantern_var_mean_out_tensor_tensor_tensor_intarrayref_intt_bool)
+  LOAD_SYMBOL(_lantern_var_mean_out_tensor_tensor_tensor_intarrayref_scalar_bool)
   LOAD_SYMBOL(_lantern__weight_norm_interface_out_tensor_tensor_tensor_tensor_intt)
   LOAD_SYMBOL(_lantern__weight_norm_interface_backward_out_tensor_tensor_tensor_tensor_tensor_tensor_intt)
   LOAD_SYMBOL(_lantern_zeros_out_tensor_intarrayref_dimnamelist)
@@ -13468,6 +13918,8 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_binomial_out_tensor_tensor_tensor_generator)
   LOAD_SYMBOL(_lantern_native_norm_out_tensor_tensor_scalar)
   LOAD_SYMBOL(_lantern_native_norm_out_tensor_tensor_scalar_intarrayref_bool_scalartype)
+  LOAD_SYMBOL(_lantern__batch_norm_with_update_functional_tensor_tensor_tensor_tensor_tensor_double_double)
+  LOAD_SYMBOL(_lantern__batch_norm_no_update_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_double)
   LOAD_SYMBOL(_lantern__sparse_sum_out_tensor_tensor_intarrayref)
   LOAD_SYMBOL(_lantern__sparse_sum_backward_out_tensor_tensor_tensor_intarrayref)
   LOAD_SYMBOL(_lantern__sparse_csr_sum_out_tensor_tensor_intarrayref_bool_scalartype)
@@ -13492,27 +13944,28 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern__sparse_addmm_out_tensor_tensor_tensor_tensor_scalar_scalar)
   LOAD_SYMBOL(_lantern_sparse_coo_tensor_out_tensor_intarrayref)
   LOAD_SYMBOL(_lantern__sparse_coo_tensor_with_dims_out_tensor_intt_intt_intarrayref)
-  LOAD_SYMBOL(_lantern__sparse_coo_tensor_with_dims_and_tensors_out_tensor_intt_intt_intarrayref_tensor_tensor)
+  LOAD_SYMBOL(_lantern__sparse_coo_tensor_with_dims_and_tensors_out_tensor_intt_intt_intarrayref_tensor_tensor_bool)
   LOAD_SYMBOL(_lantern_sparse_resize_out_tensor_tensor_intarrayref_intt_intt)
   LOAD_SYMBOL(_lantern_sparse_resize_tensor_intarrayref_intt_intt)
   LOAD_SYMBOL(_lantern_sparse_resize_and_clear_out_tensor_tensor_intarrayref_intt_intt)
   LOAD_SYMBOL(_lantern_sparse_resize_and_clear_tensor_intarrayref_intt_intt)
   LOAD_SYMBOL(_lantern_sparse_mask_out_tensor_tensor_tensor)
-  LOAD_SYMBOL(_lantern__to_dense_out_tensor_tensor_scalartype)
+  LOAD_SYMBOL(_lantern__sparse_mask_projection_out_tensor_tensor_tensor_bool)
+  LOAD_SYMBOL(_lantern__to_dense_out_tensor_tensor_scalartype_bool)
   LOAD_SYMBOL(_lantern__coalesce_out_tensor_tensor)
   LOAD_SYMBOL(_lantern__coalesced_out_tensor_tensor_bool)
   LOAD_SYMBOL(_lantern__coalesced_tensor_bool)
   LOAD_SYMBOL(_lantern_copy_sparse_to_sparse_out_tensor_tensor_tensor_bool)
   LOAD_SYMBOL(_lantern_copy_sparse_to_sparse_tensor_tensor_bool)
-  LOAD_SYMBOL(_lantern_to_sparse_out_tensor_tensor_intt)
-  LOAD_SYMBOL(_lantern_to_sparse_out_tensor_tensor_layout_intarrayref_intt)
-  LOAD_SYMBOL(_lantern_to_sparse_csr_out_tensor_tensor_intt)
-  LOAD_SYMBOL(_lantern_to_sparse_csc_out_tensor_tensor_intt)
-  LOAD_SYMBOL(_lantern_to_sparse_bsr_out_tensor_tensor_intarrayref_intt)
-  LOAD_SYMBOL(_lantern_to_sparse_bsc_out_tensor_tensor_intarrayref_intt)
+  LOAD_SYMBOL(_lantern__to_sparse_out_tensor_tensor_intt)
+  LOAD_SYMBOL(_lantern__to_sparse_out_tensor_tensor_layout_intarrayref_intt)
+  LOAD_SYMBOL(_lantern__to_sparse_csr_out_tensor_tensor_intt)
+  LOAD_SYMBOL(_lantern__to_sparse_csc_out_tensor_tensor_intt)
+  LOAD_SYMBOL(_lantern__to_sparse_bsr_out_tensor_tensor_intarrayref_intt)
+  LOAD_SYMBOL(_lantern__to_sparse_bsc_out_tensor_tensor_intarrayref_intt)
   LOAD_SYMBOL(_lantern_to_mkldnn_out_tensor_tensor_scalartype)
   LOAD_SYMBOL(_lantern_mkldnn_reorder_conv2d_weight_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intt_intarrayref)
-  LOAD_SYMBOL(_lantern_mkldnn_reorder_conv3d_weight_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intt)
+  LOAD_SYMBOL(_lantern_mkldnn_reorder_conv3d_weight_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intt_intarrayref)
   LOAD_SYMBOL(_lantern_quantize_per_tensor_dynamic_out_tensor_tensor_scalartype_bool)
   LOAD_SYMBOL(_lantern_quantize_per_tensor_out_tensor_tensor_double_intt_scalartype)
   LOAD_SYMBOL(_lantern_quantize_per_tensor_out_tensor_tensor_tensor_tensor_scalartype)
@@ -13592,7 +14045,6 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern__histogramdd_from_bin_cts_out_tensor_tensor_intarrayref_arrayrefdouble_tensor_bool)
   LOAD_SYMBOL(_lantern__histogramdd_from_bin_tensors_out_tensor_tensor_tensorlist_tensor_bool)
   LOAD_SYMBOL(_lantern_remainder_out_tensor_scalar_tensor)
-  LOAD_SYMBOL(_lantern_argsort_out_tensor_tensor_bool_intt_bool)
   LOAD_SYMBOL(_lantern_unfold_backward_out_tensor_tensor_intarrayref_intt_intt_intt)
   LOAD_SYMBOL(_lantern_normal_out_tensor_tensor_double_double_generator)
   LOAD_SYMBOL(_lantern__amp_foreach_non_finite_check_and_unscale_out_tensorlist_tensorlist_tensor_tensor)
@@ -13600,33 +14052,38 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern__amp_update_scale_out_tensor_tensor_tensor_tensor_double_double_intt)
   LOAD_SYMBOL(_lantern__amp_update_scale_tensor_tensor_tensor_double_double_intt)
   LOAD_SYMBOL(_lantern__foreach_add_out_tensorlist_tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_sub_out_tensorlist_tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_mul_out_tensorlist_tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_div_out_tensorlist_tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_clamp_min_out_tensorlist_tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_clamp_max_out_tensorlist_tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_maximum_out_tensorlist_tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_minimum_out_tensorlist_tensorlist_scalar)
   LOAD_SYMBOL(_lantern__foreach_add_out_tensorlist_tensorlist_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_add_out_tensorlist_tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_add_out_tensorlist_tensorlist_tensor_scalar)
+  LOAD_SYMBOL(_lantern__foreach_sub_out_tensorlist_tensorlist_scalar)
   LOAD_SYMBOL(_lantern__foreach_sub_out_tensorlist_tensorlist_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_sub_out_tensorlist_tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_mul_out_tensorlist_tensorlist_scalar)
   LOAD_SYMBOL(_lantern__foreach_mul_out_tensorlist_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_mul_out_tensorlist_tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_mul_out_tensorlist_tensorlist_tensor)
+  LOAD_SYMBOL(_lantern__foreach_div_out_tensorlist_tensorlist_scalar)
   LOAD_SYMBOL(_lantern__foreach_div_out_tensorlist_tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_clamp_min_out_tensorlist_tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_clamp_max_out_tensorlist_tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_maximum_out_tensorlist_tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_minimum_out_tensorlist_tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_add_out_tensorlist_tensorlist_arrayrefscalar)
-  LOAD_SYMBOL(_lantern__foreach_sub_out_tensorlist_tensorlist_arrayrefscalar)
   LOAD_SYMBOL(_lantern__foreach_div_out_tensorlist_tensorlist_arrayrefscalar)
-  LOAD_SYMBOL(_lantern__foreach_mul_out_tensorlist_tensorlist_arrayrefscalar)
-  LOAD_SYMBOL(_lantern__foreach_clamp_min_out_tensorlist_tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_div_out_tensorlist_tensorlist_tensor)
+  LOAD_SYMBOL(_lantern__foreach_clamp_max_out_tensorlist_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_clamp_max_out_tensorlist_tensorlist_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_clamp_max_out_tensorlist_tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_clamp_min_out_tensorlist_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_clamp_min_out_tensorlist_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_clamp_min_out_tensorlist_tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_maximum_out_tensorlist_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_maximum_out_tensorlist_tensorlist_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_maximum_out_tensorlist_tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_minimum_out_tensorlist_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_minimum_out_tensorlist_tensorlist_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_minimum_out_tensorlist_tensorlist_arrayrefscalar)
-  LOAD_SYMBOL(_lantern__foreach_exp_out_tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_zero_out_tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_zero_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_sqrt_out_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_tensor)
+  LOAD_SYMBOL(_lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_tensor)
   LOAD_SYMBOL(_lantern__foreach_abs_out_tensorlist_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_acos_out_tensorlist_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_asin_out_tensorlist_tensorlist)
@@ -13636,34 +14093,37 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern__foreach_cosh_out_tensorlist_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_erf_out_tensorlist_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_erfc_out_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_exp_out_tensorlist_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_expm1_out_tensorlist_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_floor_out_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_frac_out_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_lerp_out_tensorlist_tensorlist_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_lerp_out_tensorlist_tensorlist_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_lgamma_out_tensorlist_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_log_out_tensorlist_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_log10_out_tensorlist_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_log1p_out_tensorlist_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_log2_out_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_max_out_tensorlist_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_neg_out_tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_tan_out_tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_tanh_out_tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_sin_out_tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_sinh_out_tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_round_out_tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_lgamma_out_tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_frac_out_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_norm_out_tensorlist_tensorlist_scalar_scalartype)
+  LOAD_SYMBOL(_lantern__foreach_pow_out_tensorlist_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_pow_out_tensorlist_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_pow_out_tensorlist_tensorlist_arrayrefscalar)
   LOAD_SYMBOL(_lantern__foreach_reciprocal_out_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_round_out_tensorlist_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_sigmoid_out_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_sign_out_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_sin_out_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_sinh_out_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_sqrt_out_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_tan_out_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_tanh_out_tensorlist_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_trunc_out_tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_arrayrefscalar)
-  LOAD_SYMBOL(_lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_tensor)
-  LOAD_SYMBOL(_lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_arrayrefscalar)
-  LOAD_SYMBOL(_lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_tensor)
-  LOAD_SYMBOL(_lantern__foreach_norm_out_tensorlist_tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_lerp_out_tensorlist_tensorlist_tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_lerp_out_tensorlist_tensorlist_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_zero_out_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_zero_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_copy_out_tensorlist_tensorlist_tensorlist_bool)
   LOAD_SYMBOL(_lantern_bucketize_out_tensor_scalar_tensor_bool_bool)
-  LOAD_SYMBOL(_lantern_searchsorted_out_tensor_tensor_scalar_bool_bool_cstringview_tensor)
   LOAD_SYMBOL(_lantern_glu_jvp_out_tensor_tensor_tensor_tensor_intt)
   LOAD_SYMBOL(_lantern_glu_backward_jvp_out_tensor_tensor_tensor_tensor_tensor_tensor_intt)
   LOAD_SYMBOL(_lantern_hardswish_backward_out_tensor_tensor_tensor)
@@ -13726,13 +14186,21 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern__native_multi_head_attention_out_tensor_tensor_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_tensor_bool_bool_intt)
   LOAD_SYMBOL(_lantern__triton_scaled_dot_attention_out_tensor_tensor_tensor_tensor_double)
   LOAD_SYMBOL(_lantern__triton_multi_head_attention_out_tensor_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_tensor)
-  LOAD_SYMBOL(_lantern__transformer_decoder_only_layer_fwd_out_tensor_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_bool_bool_double_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor)
-  LOAD_SYMBOL(_lantern__native_decoder_only_multi_head_attention_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_bool)
   LOAD_SYMBOL(_lantern__foobar_out_tensor_tensor_bool_bool_bool)
   LOAD_SYMBOL(_lantern__fused_adam_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor)
   LOAD_SYMBOL(_lantern__fused_adam_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor)
+  LOAD_SYMBOL(_lantern__fused_adam_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor)
+  LOAD_SYMBOL(_lantern__fused_adam_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor)
   LOAD_SYMBOL(_lantern__fused_adamw_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor)
   LOAD_SYMBOL(_lantern__fused_adamw_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor)
+  LOAD_SYMBOL(_lantern__fused_adamw_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor)
+  LOAD_SYMBOL(_lantern__fused_adamw_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor)
+  LOAD_SYMBOL(_lantern__fused_sgd_out_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_bool_bool_tensor_tensor)
+  LOAD_SYMBOL(_lantern__fused_sgd_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_bool_bool_tensor_tensor)
+  LOAD_SYMBOL(_lantern__fused_sgd_out_tensorlist_tensorlist_tensorlist_tensorlist_double_double_tensor_double_bool_bool_bool_tensor_tensor)
+  LOAD_SYMBOL(_lantern__fused_sgd_tensorlist_tensorlist_tensorlist_double_double_tensor_double_bool_bool_bool_tensor_tensor)
+  LOAD_SYMBOL(_lantern__fused_adagrad_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_tensor_tensor)
+  LOAD_SYMBOL(_lantern__fused_adagrad_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_tensor_tensor)
   /* Autogen Symbols -- End */
 
   return true;
diff --git a/inst/include/lantern/types.h b/inst/include/lantern/types.h
index 111aabfff8..9f606c9b95 100644
--- a/inst/include/lantern/types.h
+++ b/inst/include/lantern/types.h
@@ -1,3 +1,4 @@
+#include <c10/core/Device.h>
 #include <torch/torch.h>
 
 // https://pt.stackoverflow.com/a/438284/6036
@@ -156,6 +157,7 @@ LANTERN_FROM_RAW_DECL(SymInt, c10::SymInt)
 LANTERN_FROM_RAW_DECL(SymIntArrayRef, c10::SymIntArrayRef)
 LANTERN_FROM_RAW_DECL(FunctionSchema, c10::FunctionSchema)
 LANTERN_FROM_RAW_DECL(Argument, c10::Argument)
+LANTERN_FROM_RAW_DECL(DeviceIndex, at::DeviceIndex)
 
 namespace optional {
 LANTERN_FROM_RAW_DECL(DimnameList, c10::optional<torch::DimnameList>)
@@ -589,6 +591,7 @@ LANTERN_FROM_RAW(SymInt, c10::SymInt)
 LANTERN_FROM_RAW_WRAPPED(SymIntArrayRef, self_contained::SymIntArrayRef, c10::SymIntArrayRef)
 LANTERN_FROM_RAW(FunctionSchema, c10::FunctionSchema)
 LANTERN_FROM_RAW(Argument, c10::Argument)
+LANTERN_FROM_RAW(DeviceIndex, at::DeviceIndex)
 
 namespace optional {
 LANTERN_FROM_RAW_WRAPPED(DimnameList, self_contained::optional::DimnameList,
diff --git a/inst/include/utils.h b/inst/include/utils.h
index 116d11ed2e..59bc27f956 100644
--- a/inst/include/utils.h
+++ b/inst/include/utils.h
@@ -50,8 +50,13 @@ class EventLoop {
       {
         std::unique_lock<std::mutex> lock(mtx_);
         if (tasks_.empty()) {
-          cv_.wait(lock, [this] { return !tasks_.empty(); });
+          cv_.wait(lock, [this] { return stop_requested_ || !tasks_.empty(); });
         }
+        
+        if (stop_requested_ && tasks_.empty()) {
+          return;
+        }
+      
         fn = std::move(tasks_.front());
         tasks_.pop_front();
       }
@@ -76,10 +81,15 @@ class EventLoop {
     }
     cv_.notify_one();
   }
+  void stop() {
+    stop_requested_ = true;
+    cv_.notify_all();
+  }
 
  private:
   std::mutex mtx_;
   std::condition_variable cv_;
+  std::atomic<bool> stop_requested_{false};
   std::deque<std::packaged_task<T()>> tasks_;
 };
 
@@ -88,6 +98,7 @@ class ThreadPool {
 public:
   EventLoop<T> event_loop;
   std::vector<std::thread> threads;
+
   ThreadPool (int n_threads = 5) {
     for(int i = 0; i < n_threads; i++) {
       threads.push_back(std::thread([this] () {
@@ -98,6 +109,16 @@ class ThreadPool {
   void push (std::packaged_task<T()>&& task) {
     this->event_loop.schedule(std::move(task));
   }
+  void stop() {
+    event_loop.stop();
+    for(auto& thread : threads) {
+      thread.join();
+    }
+    threads.clear();
+  }
+  ~ThreadPool() {
+    stop();
+  }
 };
 
 template <class type>
diff --git a/man/torch_can_cast.Rd b/man/torch_can_cast.Rd
index deb6e08a61..b907a4b5fe 100644
--- a/man/torch_can_cast.Rd
+++ b/man/torch_can_cast.Rd
@@ -5,10 +5,10 @@
 \alias{torch_can_cast}
 \title{Can_cast}
 \usage{
-torch_can_cast(from, to)
+torch_can_cast(from_, to)
 }
 \arguments{
-\item{from}{(dtype) The original \code{torch_dtype}.}
+\item{from_}{(dtype) The original \code{torch_dtype}.}
 
 \item{to}{(dtype) The target \code{torch_dtype}.}
 }
diff --git a/src/RcppExports.cpp b/src/RcppExports.cpp
index 5b73f11e32..7c2923d89a 100644
--- a/src/RcppExports.cpp
+++ b/src/RcppExports.cpp
@@ -1522,6 +1522,18 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_method_all_self_Tensor_dim_IntArrayRef
+XPtrTorchTensor cpp_torch_method_all_self_Tensor_dim_IntArrayRef(XPtrTorchTensor self, XPtrTorchOptionalIndexIntArrayRef dim, XPtrTorchbool keepdim);
+RcppExport SEXP _torch_cpp_torch_method_all_self_Tensor_dim_IntArrayRef(SEXP selfSEXP, SEXP dimSEXP, SEXP keepdimSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalIndexIntArrayRef >::type dim(dimSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type keepdim(keepdimSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_method_all_self_Tensor_dim_IntArrayRef(self, dim, keepdim));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_method_all_self_Tensor_dim_Dimname
 XPtrTorchTensor cpp_torch_method_all_self_Tensor_dim_Dimname(XPtrTorchTensor self, XPtrTorchDimname dim, XPtrTorchbool keepdim);
 RcppExport SEXP _torch_cpp_torch_method_all_self_Tensor_dim_Dimname(SEXP selfSEXP, SEXP dimSEXP, SEXP keepdimSEXP) {
@@ -1560,6 +1572,18 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_method_any_self_Tensor_dim_IntArrayRef
+XPtrTorchTensor cpp_torch_method_any_self_Tensor_dim_IntArrayRef(XPtrTorchTensor self, XPtrTorchOptionalIndexIntArrayRef dim, XPtrTorchbool keepdim);
+RcppExport SEXP _torch_cpp_torch_method_any_self_Tensor_dim_IntArrayRef(SEXP selfSEXP, SEXP dimSEXP, SEXP keepdimSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalIndexIntArrayRef >::type dim(dimSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type keepdim(keepdimSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_method_any_self_Tensor_dim_IntArrayRef(self, dim, keepdim));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_method_any_self_Tensor_dim_Dimname
 XPtrTorchTensor cpp_torch_method_any_self_Tensor_dim_Dimname(XPtrTorchTensor self, XPtrTorchDimname dim, XPtrTorchbool keepdim);
 RcppExport SEXP _torch_cpp_torch_method_any_self_Tensor_dim_Dimname(SEXP selfSEXP, SEXP dimSEXP, SEXP keepdimSEXP) {
@@ -1973,6 +1997,16 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_method__lazy_clone_self_Tensor
+XPtrTorchTensor cpp_torch_method__lazy_clone_self_Tensor(XPtrTorchTensor self);
+RcppExport SEXP _torch_cpp_torch_method__lazy_clone_self_Tensor(SEXP selfSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_method__lazy_clone_self_Tensor(self));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_method_logical_not_self_Tensor
 XPtrTorchTensor cpp_torch_method_logical_not_self_Tensor(XPtrTorchTensor self);
 RcppExport SEXP _torch_cpp_torch_method_logical_not_self_Tensor(SEXP selfSEXP) {
@@ -3342,14 +3376,14 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_method_index_self_Tensor_indices_constc10Listc10optionalTensor
-XPtrTorchTensor cpp_torch_method_index_self_Tensor_indices_constc10Listc10optionalTensor(XPtrTorchTensor self, XPtrTorchOptionalIndexTensorList indices);
-RcppExport SEXP _torch_cpp_torch_method_index_self_Tensor_indices_constc10Listc10optionalTensor(SEXP selfSEXP, SEXP indicesSEXP) {
+// cpp_torch_method_index_self_Tensor_indices_constc10ListstdoptionalTensor
+XPtrTorchTensor cpp_torch_method_index_self_Tensor_indices_constc10ListstdoptionalTensor(XPtrTorchTensor self, XPtrTorchOptionalIndexTensorList indices);
+RcppExport SEXP _torch_cpp_torch_method_index_self_Tensor_indices_constc10ListstdoptionalTensor(SEXP selfSEXP, SEXP indicesSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
     Rcpp::traits::input_parameter< XPtrTorchOptionalIndexTensorList >::type indices(indicesSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_method_index_self_Tensor_indices_constc10Listc10optionalTensor(self, indices));
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_method_index_self_Tensor_indices_constc10ListstdoptionalTensor(self, indices));
     return rcpp_result_gen;
 END_RCPP
 }
@@ -3405,29 +3439,29 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_method_index_put__self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor
-XPtrTorchTensor cpp_torch_method_index_put__self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor(XPtrTorchTensor self, XPtrTorchOptionalIndexTensorList indices, XPtrTorchTensor values, XPtrTorchbool accumulate);
-RcppExport SEXP _torch_cpp_torch_method_index_put__self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor(SEXP selfSEXP, SEXP indicesSEXP, SEXP valuesSEXP, SEXP accumulateSEXP) {
+// cpp_torch_method_index_put__self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor
+XPtrTorchTensor cpp_torch_method_index_put__self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor(XPtrTorchTensor self, XPtrTorchOptionalIndexTensorList indices, XPtrTorchTensor values, XPtrTorchbool accumulate);
+RcppExport SEXP _torch_cpp_torch_method_index_put__self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor(SEXP selfSEXP, SEXP indicesSEXP, SEXP valuesSEXP, SEXP accumulateSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
     Rcpp::traits::input_parameter< XPtrTorchOptionalIndexTensorList >::type indices(indicesSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type values(valuesSEXP);
     Rcpp::traits::input_parameter< XPtrTorchbool >::type accumulate(accumulateSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_method_index_put__self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor(self, indices, values, accumulate));
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_method_index_put__self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor(self, indices, values, accumulate));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_method_index_put_self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor
-XPtrTorchTensor cpp_torch_method_index_put_self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor(XPtrTorchTensor self, XPtrTorchOptionalIndexTensorList indices, XPtrTorchTensor values, XPtrTorchbool accumulate);
-RcppExport SEXP _torch_cpp_torch_method_index_put_self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor(SEXP selfSEXP, SEXP indicesSEXP, SEXP valuesSEXP, SEXP accumulateSEXP) {
+// cpp_torch_method_index_put_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor
+XPtrTorchTensor cpp_torch_method_index_put_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor(XPtrTorchTensor self, XPtrTorchOptionalIndexTensorList indices, XPtrTorchTensor values, XPtrTorchbool accumulate);
+RcppExport SEXP _torch_cpp_torch_method_index_put_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor(SEXP selfSEXP, SEXP indicesSEXP, SEXP valuesSEXP, SEXP accumulateSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
     Rcpp::traits::input_parameter< XPtrTorchOptionalIndexTensorList >::type indices(indicesSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type values(valuesSEXP);
     Rcpp::traits::input_parameter< XPtrTorchbool >::type accumulate(accumulateSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_method_index_put_self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor(self, indices, values, accumulate));
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_method_index_put_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor(self, indices, values, accumulate));
     return rcpp_result_gen;
 END_RCPP
 }
@@ -4906,6 +4940,21 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_method_slice_inverse_self_Tensor_src_Tensor
+XPtrTorchTensor cpp_torch_method_slice_inverse_self_Tensor_src_Tensor(XPtrTorchTensor self, XPtrTorchTensor src, XPtrTorchindex_int64_t dim, XPtrTorchoptional_int64_t start, XPtrTorchoptional_int64_t end, XPtrTorchint64_t step);
+RcppExport SEXP _torch_cpp_torch_method_slice_inverse_self_Tensor_src_Tensor(SEXP selfSEXP, SEXP srcSEXP, SEXP dimSEXP, SEXP startSEXP, SEXP endSEXP, SEXP stepSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type src(srcSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchindex_int64_t >::type dim(dimSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchoptional_int64_t >::type start(startSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchoptional_int64_t >::type end(endSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type step(stepSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_method_slice_inverse_self_Tensor_src_Tensor(self, src, dim, start, end, step));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_method_slice_scatter_self_Tensor_src_Tensor
 XPtrTorchTensor cpp_torch_method_slice_scatter_self_Tensor_src_Tensor(XPtrTorchTensor self, XPtrTorchTensor src, XPtrTorchindex_int64_t dim, XPtrTorchoptional_int64_t start, XPtrTorchoptional_int64_t end, XPtrTorchint64_t step);
 RcppExport SEXP _torch_cpp_torch_method_slice_scatter_self_Tensor_src_Tensor(SEXP selfSEXP, SEXP srcSEXP, SEXP dimSEXP, SEXP startSEXP, SEXP endSEXP, SEXP stepSEXP) {
@@ -5640,13 +5689,13 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_method__nested_tensor_offsets_self_Tensor
-XPtrTorchIntArrayRef cpp_torch_method__nested_tensor_offsets_self_Tensor(XPtrTorchTensor self);
-RcppExport SEXP _torch_cpp_torch_method__nested_tensor_offsets_self_Tensor(SEXP selfSEXP) {
+// cpp_torch_method__nested_tensor_storage_offsets_self_Tensor
+XPtrTorchTensor cpp_torch_method__nested_tensor_storage_offsets_self_Tensor(XPtrTorchTensor self);
+RcppExport SEXP _torch_cpp_torch_method__nested_tensor_storage_offsets_self_Tensor(SEXP selfSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_method__nested_tensor_offsets_self_Tensor(self));
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_method__nested_tensor_storage_offsets_self_Tensor(self));
     return rcpp_result_gen;
 END_RCPP
 }
@@ -6134,25 +6183,39 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_method__sparse_mask_projection_self_Tensor_mask_Tensor
+XPtrTorchTensor cpp_torch_method__sparse_mask_projection_self_Tensor_mask_Tensor(XPtrTorchTensor self, XPtrTorchTensor mask, XPtrTorchbool accumulate_matches);
+RcppExport SEXP _torch_cpp_torch_method__sparse_mask_projection_self_Tensor_mask_Tensor(SEXP selfSEXP, SEXP maskSEXP, SEXP accumulate_matchesSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type mask(maskSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type accumulate_matches(accumulate_matchesSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_method__sparse_mask_projection_self_Tensor_mask_Tensor(self, mask, accumulate_matches));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_method_to_dense_self_Tensor
-XPtrTorchTensor cpp_torch_method_to_dense_self_Tensor(XPtrTorchTensor self, XPtrTorchoptional_scalar_type dtype);
-RcppExport SEXP _torch_cpp_torch_method_to_dense_self_Tensor(SEXP selfSEXP, SEXP dtypeSEXP) {
+XPtrTorchTensor cpp_torch_method_to_dense_self_Tensor(XPtrTorchTensor self, XPtrTorchoptional_scalar_type dtype, XPtrTorchoptional_bool masked_grad);
+RcppExport SEXP _torch_cpp_torch_method_to_dense_self_Tensor(SEXP selfSEXP, SEXP dtypeSEXP, SEXP masked_gradSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
     Rcpp::traits::input_parameter< XPtrTorchoptional_scalar_type >::type dtype(dtypeSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_method_to_dense_self_Tensor(self, dtype));
+    Rcpp::traits::input_parameter< XPtrTorchoptional_bool >::type masked_grad(masked_gradSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_method_to_dense_self_Tensor(self, dtype, masked_grad));
     return rcpp_result_gen;
 END_RCPP
 }
 // cpp_torch_method__to_dense_self_Tensor
-XPtrTorchTensor cpp_torch_method__to_dense_self_Tensor(XPtrTorchTensor self, XPtrTorchoptional_scalar_type dtype);
-RcppExport SEXP _torch_cpp_torch_method__to_dense_self_Tensor(SEXP selfSEXP, SEXP dtypeSEXP) {
+XPtrTorchTensor cpp_torch_method__to_dense_self_Tensor(XPtrTorchTensor self, XPtrTorchoptional_scalar_type dtype, XPtrTorchoptional_bool masked_grad);
+RcppExport SEXP _torch_cpp_torch_method__to_dense_self_Tensor(SEXP selfSEXP, SEXP dtypeSEXP, SEXP masked_gradSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
     Rcpp::traits::input_parameter< XPtrTorchoptional_scalar_type >::type dtype(dtypeSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_method__to_dense_self_Tensor(self, dtype));
+    Rcpp::traits::input_parameter< XPtrTorchoptional_bool >::type masked_grad(masked_gradSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_method__to_dense_self_Tensor(self, dtype, masked_grad));
     return rcpp_result_gen;
 END_RCPP
 }
@@ -6350,6 +6413,17 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_method__to_sparse_self_Tensor_sparse_dim_int64_t
+XPtrTorchTensor cpp_torch_method__to_sparse_self_Tensor_sparse_dim_int64_t(XPtrTorchTensor self, XPtrTorchint64_t sparse_dim);
+RcppExport SEXP _torch_cpp_torch_method__to_sparse_self_Tensor_sparse_dim_int64_t(SEXP selfSEXP, SEXP sparse_dimSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type sparse_dim(sparse_dimSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_method__to_sparse_self_Tensor_sparse_dim_int64_t(self, sparse_dim));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_method_to_sparse_self_Tensor
 XPtrTorchTensor cpp_torch_method_to_sparse_self_Tensor(XPtrTorchTensor self, XPtrTorchLayout layout, XPtrTorchOptionalIntArrayRef blocksize, XPtrTorchoptional_int64_t dense_dim);
 RcppExport SEXP _torch_cpp_torch_method_to_sparse_self_Tensor(SEXP selfSEXP, SEXP layoutSEXP, SEXP blocksizeSEXP, SEXP dense_dimSEXP) {
@@ -6363,6 +6437,19 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_method__to_sparse_self_Tensor
+XPtrTorchTensor cpp_torch_method__to_sparse_self_Tensor(XPtrTorchTensor self, XPtrTorchLayout layout, XPtrTorchOptionalIntArrayRef blocksize, XPtrTorchoptional_int64_t dense_dim);
+RcppExport SEXP _torch_cpp_torch_method__to_sparse_self_Tensor(SEXP selfSEXP, SEXP layoutSEXP, SEXP blocksizeSEXP, SEXP dense_dimSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchLayout >::type layout(layoutSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalIntArrayRef >::type blocksize(blocksizeSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchoptional_int64_t >::type dense_dim(dense_dimSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_method__to_sparse_self_Tensor(self, layout, blocksize, dense_dim));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_method_to_sparse_csr_self_Tensor
 XPtrTorchTensor cpp_torch_method_to_sparse_csr_self_Tensor(XPtrTorchTensor self, XPtrTorchoptional_int64_t dense_dim);
 RcppExport SEXP _torch_cpp_torch_method_to_sparse_csr_self_Tensor(SEXP selfSEXP, SEXP dense_dimSEXP) {
@@ -6374,6 +6461,17 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_method__to_sparse_csr_self_Tensor
+XPtrTorchTensor cpp_torch_method__to_sparse_csr_self_Tensor(XPtrTorchTensor self, XPtrTorchoptional_int64_t dense_dim);
+RcppExport SEXP _torch_cpp_torch_method__to_sparse_csr_self_Tensor(SEXP selfSEXP, SEXP dense_dimSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchoptional_int64_t >::type dense_dim(dense_dimSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_method__to_sparse_csr_self_Tensor(self, dense_dim));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_method_to_sparse_csc_self_Tensor
 XPtrTorchTensor cpp_torch_method_to_sparse_csc_self_Tensor(XPtrTorchTensor self, XPtrTorchoptional_int64_t dense_dim);
 RcppExport SEXP _torch_cpp_torch_method_to_sparse_csc_self_Tensor(SEXP selfSEXP, SEXP dense_dimSEXP) {
@@ -6385,6 +6483,17 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_method__to_sparse_csc_self_Tensor
+XPtrTorchTensor cpp_torch_method__to_sparse_csc_self_Tensor(XPtrTorchTensor self, XPtrTorchoptional_int64_t dense_dim);
+RcppExport SEXP _torch_cpp_torch_method__to_sparse_csc_self_Tensor(SEXP selfSEXP, SEXP dense_dimSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchoptional_int64_t >::type dense_dim(dense_dimSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_method__to_sparse_csc_self_Tensor(self, dense_dim));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_method_to_sparse_bsr_self_Tensor_blocksize_IntArrayRef
 XPtrTorchTensor cpp_torch_method_to_sparse_bsr_self_Tensor_blocksize_IntArrayRef(XPtrTorchTensor self, XPtrTorchIntArrayRef blocksize, XPtrTorchoptional_int64_t dense_dim);
 RcppExport SEXP _torch_cpp_torch_method_to_sparse_bsr_self_Tensor_blocksize_IntArrayRef(SEXP selfSEXP, SEXP blocksizeSEXP, SEXP dense_dimSEXP) {
@@ -6397,6 +6506,18 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_method__to_sparse_bsr_self_Tensor_blocksize_IntArrayRef
+XPtrTorchTensor cpp_torch_method__to_sparse_bsr_self_Tensor_blocksize_IntArrayRef(XPtrTorchTensor self, XPtrTorchIntArrayRef blocksize, XPtrTorchoptional_int64_t dense_dim);
+RcppExport SEXP _torch_cpp_torch_method__to_sparse_bsr_self_Tensor_blocksize_IntArrayRef(SEXP selfSEXP, SEXP blocksizeSEXP, SEXP dense_dimSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchIntArrayRef >::type blocksize(blocksizeSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchoptional_int64_t >::type dense_dim(dense_dimSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_method__to_sparse_bsr_self_Tensor_blocksize_IntArrayRef(self, blocksize, dense_dim));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_method_to_sparse_bsc_self_Tensor_blocksize_IntArrayRef
 XPtrTorchTensor cpp_torch_method_to_sparse_bsc_self_Tensor_blocksize_IntArrayRef(XPtrTorchTensor self, XPtrTorchIntArrayRef blocksize, XPtrTorchoptional_int64_t dense_dim);
 RcppExport SEXP _torch_cpp_torch_method_to_sparse_bsc_self_Tensor_blocksize_IntArrayRef(SEXP selfSEXP, SEXP blocksizeSEXP, SEXP dense_dimSEXP) {
@@ -6409,6 +6530,18 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_method__to_sparse_bsc_self_Tensor_blocksize_IntArrayRef
+XPtrTorchTensor cpp_torch_method__to_sparse_bsc_self_Tensor_blocksize_IntArrayRef(XPtrTorchTensor self, XPtrTorchIntArrayRef blocksize, XPtrTorchoptional_int64_t dense_dim);
+RcppExport SEXP _torch_cpp_torch_method__to_sparse_bsc_self_Tensor_blocksize_IntArrayRef(SEXP selfSEXP, SEXP blocksizeSEXP, SEXP dense_dimSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchIntArrayRef >::type blocksize(blocksizeSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchoptional_int64_t >::type dense_dim(dense_dimSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_method__to_sparse_bsc_self_Tensor_blocksize_IntArrayRef(self, blocksize, dense_dim));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_method_to_mkldnn_self_Tensor
 XPtrTorchTensor cpp_torch_method_to_mkldnn_self_Tensor(XPtrTorchTensor self, XPtrTorchoptional_scalar_type dtype);
 RcppExport SEXP _torch_cpp_torch_method_to_mkldnn_self_Tensor(SEXP selfSEXP, SEXP dtypeSEXP) {
@@ -8393,6 +8526,18 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_method_nonzero_static_self_Tensor_size_int64_t
+XPtrTorchTensor cpp_torch_method_nonzero_static_self_Tensor_size_int64_t(XPtrTorchTensor self, XPtrTorchint64_t size, XPtrTorchint64_t fill_value);
+RcppExport SEXP _torch_cpp_torch_method_nonzero_static_self_Tensor_size_int64_t(SEXP selfSEXP, SEXP sizeSEXP, SEXP fill_valueSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type size(sizeSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type fill_value(fill_valueSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_method_nonzero_static_self_Tensor_size_int64_t(self, size, fill_value));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_method_nonzero_numpy_self_Tensor
 XPtrTorchTensorList cpp_torch_method_nonzero_numpy_self_Tensor(XPtrTorchTensor self);
 RcppExport SEXP _torch_cpp_torch_method_nonzero_numpy_self_Tensor(SEXP selfSEXP) {
@@ -9799,6 +9944,50 @@ BEGIN_RCPP
     return R_NilValue;
 END_RCPP
 }
+// cpp_torch_namespace__assert_async_self_Tensor_assert_msg_c10string_view
+void cpp_torch_namespace__assert_async_self_Tensor_assert_msg_c10string_view(XPtrTorchTensor self, XPtrTorchstring_view assert_msg);
+RcppExport SEXP _torch_cpp_torch_namespace__assert_async_self_Tensor_assert_msg_c10string_view(SEXP selfSEXP, SEXP assert_msgSEXP) {
+BEGIN_RCPP
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchstring_view >::type assert_msg(assert_msgSEXP);
+    cpp_torch_namespace__assert_async_self_Tensor_assert_msg_c10string_view(self, assert_msg);
+    return R_NilValue;
+END_RCPP
+}
+// cpp_torch_namespace__assert_scalar_self_Scalar_assert_msg_c10string_view
+void cpp_torch_namespace__assert_scalar_self_Scalar_assert_msg_c10string_view(XPtrTorchScalar self, XPtrTorchstring_view assert_msg);
+RcppExport SEXP _torch_cpp_torch_namespace__assert_scalar_self_Scalar_assert_msg_c10string_view(SEXP selfSEXP, SEXP assert_msgSEXP) {
+BEGIN_RCPP
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchstring_view >::type assert_msg(assert_msgSEXP);
+    cpp_torch_namespace__assert_scalar_self_Scalar_assert_msg_c10string_view(self, assert_msg);
+    return R_NilValue;
+END_RCPP
+}
+// cpp_torch_namespace__functional_assert_scalar_self_Scalar_assert_msg_c10string_view_dep_token_Tensor
+XPtrTorchTensor cpp_torch_namespace__functional_assert_scalar_self_Scalar_assert_msg_c10string_view_dep_token_Tensor(XPtrTorchScalar self, XPtrTorchstring_view assert_msg, XPtrTorchTensor dep_token);
+RcppExport SEXP _torch_cpp_torch_namespace__functional_assert_scalar_self_Scalar_assert_msg_c10string_view_dep_token_Tensor(SEXP selfSEXP, SEXP assert_msgSEXP, SEXP dep_tokenSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchstring_view >::type assert_msg(assert_msgSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type dep_token(dep_tokenSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__functional_assert_scalar_self_Scalar_assert_msg_c10string_view_dep_token_Tensor(self, assert_msg, dep_token));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__functional_assert_async_self_Tensor_assert_msg_c10string_view_dep_token_Tensor
+XPtrTorchTensor cpp_torch_namespace__functional_assert_async_self_Tensor_assert_msg_c10string_view_dep_token_Tensor(XPtrTorchTensor self, XPtrTorchstring_view assert_msg, XPtrTorchTensor dep_token);
+RcppExport SEXP _torch_cpp_torch_namespace__functional_assert_async_self_Tensor_assert_msg_c10string_view_dep_token_Tensor(SEXP selfSEXP, SEXP assert_msgSEXP, SEXP dep_tokenSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchstring_view >::type assert_msg(assert_msgSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type dep_token(dep_tokenSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__functional_assert_async_self_Tensor_assert_msg_c10string_view_dep_token_Tensor(self, assert_msg, dep_token));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_namespace__assert_tensor_metadata_a_Tensor
 void cpp_torch_namespace__assert_tensor_metadata_a_Tensor(XPtrTorchTensor a, XPtrTorchOptionalIntArrayRef size, XPtrTorchOptionalIntArrayRef stride, XPtrTorchoptional_scalar_type dtype);
 RcppExport SEXP _torch_cpp_torch_namespace__assert_tensor_metadata_a_Tensor(SEXP aSEXP, SEXP sizeSEXP, SEXP strideSEXP, SEXP dtypeSEXP) {
@@ -9811,6 +10000,63 @@ BEGIN_RCPP
     return R_NilValue;
 END_RCPP
 }
+// cpp_torch_namespace__print_s_c10string_view
+void cpp_torch_namespace__print_s_c10string_view(XPtrTorchstring_view s);
+RcppExport SEXP _torch_cpp_torch_namespace__print_s_c10string_view(SEXP sSEXP) {
+BEGIN_RCPP
+    Rcpp::traits::input_parameter< XPtrTorchstring_view >::type s(sSEXP);
+    cpp_torch_namespace__print_s_c10string_view(s);
+    return R_NilValue;
+END_RCPP
+}
+// cpp_torch_namespace_sym_constrain_range_size_Scalar
+void cpp_torch_namespace_sym_constrain_range_size_Scalar(XPtrTorchScalar size, XPtrTorchoptional_int64_t min, XPtrTorchoptional_int64_t max);
+RcppExport SEXP _torch_cpp_torch_namespace_sym_constrain_range_size_Scalar(SEXP sizeSEXP, SEXP minSEXP, SEXP maxSEXP) {
+BEGIN_RCPP
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type size(sizeSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchoptional_int64_t >::type min(minSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchoptional_int64_t >::type max(maxSEXP);
+    cpp_torch_namespace_sym_constrain_range_size_Scalar(size, min, max);
+    return R_NilValue;
+END_RCPP
+}
+// cpp_torch_namespace_sym_constrain_range_for_size_size_Scalar
+void cpp_torch_namespace_sym_constrain_range_for_size_size_Scalar(XPtrTorchScalar size, XPtrTorchoptional_int64_t min, XPtrTorchoptional_int64_t max);
+RcppExport SEXP _torch_cpp_torch_namespace_sym_constrain_range_for_size_size_Scalar(SEXP sizeSEXP, SEXP minSEXP, SEXP maxSEXP) {
+BEGIN_RCPP
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type size(sizeSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchoptional_int64_t >::type min(minSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchoptional_int64_t >::type max(maxSEXP);
+    cpp_torch_namespace_sym_constrain_range_for_size_size_Scalar(size, min, max);
+    return R_NilValue;
+END_RCPP
+}
+// cpp_torch_namespace__functional_sym_constrain_range_size_Scalar_min_int64_t_max_int64_t_dep_token_Tensor
+XPtrTorchTensor cpp_torch_namespace__functional_sym_constrain_range_size_Scalar_min_int64_t_max_int64_t_dep_token_Tensor(XPtrTorchScalar size, XPtrTorchoptional_int64_t min, XPtrTorchoptional_int64_t max, XPtrTorchTensor dep_token);
+RcppExport SEXP _torch_cpp_torch_namespace__functional_sym_constrain_range_size_Scalar_min_int64_t_max_int64_t_dep_token_Tensor(SEXP sizeSEXP, SEXP minSEXP, SEXP maxSEXP, SEXP dep_tokenSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type size(sizeSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchoptional_int64_t >::type min(minSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchoptional_int64_t >::type max(maxSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type dep_token(dep_tokenSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__functional_sym_constrain_range_size_Scalar_min_int64_t_max_int64_t_dep_token_Tensor(size, min, max, dep_token));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__functional_sym_constrain_range_for_size_size_Scalar_min_int64_t_max_int64_t_dep_token_Tensor
+XPtrTorchTensor cpp_torch_namespace__functional_sym_constrain_range_for_size_size_Scalar_min_int64_t_max_int64_t_dep_token_Tensor(XPtrTorchScalar size, XPtrTorchoptional_int64_t min, XPtrTorchoptional_int64_t max, XPtrTorchTensor dep_token);
+RcppExport SEXP _torch_cpp_torch_namespace__functional_sym_constrain_range_for_size_size_Scalar_min_int64_t_max_int64_t_dep_token_Tensor(SEXP sizeSEXP, SEXP minSEXP, SEXP maxSEXP, SEXP dep_tokenSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type size(sizeSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchoptional_int64_t >::type min(minSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchoptional_int64_t >::type max(maxSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type dep_token(dep_tokenSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__functional_sym_constrain_range_for_size_size_Scalar_min_int64_t_max_int64_t_dep_token_Tensor(size, min, max, dep_token));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_namespace__use_cudnn_ctc_loss_log_probs_Tensor_targets_Tensor_input_lengths_IntArrayRef_target_lengths_IntArrayRef_blank_int64_t
 XPtrTorchbool cpp_torch_namespace__use_cudnn_ctc_loss_log_probs_Tensor_targets_Tensor_input_lengths_IntArrayRef_target_lengths_IntArrayRef_blank_int64_t(XPtrTorchTensor log_probs, XPtrTorchTensor targets, XPtrTorchIntArrayRef input_lengths, XPtrTorchIntArrayRef target_lengths, XPtrTorchint64_t blank);
 RcppExport SEXP _torch_cpp_torch_namespace__use_cudnn_ctc_loss_log_probs_Tensor_targets_Tensor_input_lengths_IntArrayRef_target_lengths_IntArrayRef_blank_int64_t(SEXP log_probsSEXP, SEXP targetsSEXP, SEXP input_lengthsSEXP, SEXP target_lengthsSEXP, SEXP blankSEXP) {
@@ -10733,6 +10979,17 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_namespace__test_functorch_fallback_self_Tensor_other_Tensor
+XPtrTorchTensor cpp_torch_namespace__test_functorch_fallback_self_Tensor_other_Tensor(XPtrTorchTensor self, XPtrTorchTensor other);
+RcppExport SEXP _torch_cpp_torch_namespace__test_functorch_fallback_self_Tensor_other_Tensor(SEXP selfSEXP, SEXP otherSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type other(otherSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__test_functorch_fallback_self_Tensor_other_Tensor(self, other));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_namespace_all_self_Tensor_dim_int64_t
 XPtrTorchTensor cpp_torch_namespace_all_self_Tensor_dim_int64_t(XPtrTorchTensor self, XPtrTorchindex_int64_t dim, XPtrTorchbool keepdim);
 RcppExport SEXP _torch_cpp_torch_namespace_all_self_Tensor_dim_int64_t(SEXP selfSEXP, SEXP dimSEXP, SEXP keepdimSEXP) {
@@ -10745,6 +11002,18 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_namespace_all_self_Tensor_dim_IntArrayRef
+XPtrTorchTensor cpp_torch_namespace_all_self_Tensor_dim_IntArrayRef(XPtrTorchTensor self, XPtrTorchOptionalIndexIntArrayRef dim, XPtrTorchbool keepdim);
+RcppExport SEXP _torch_cpp_torch_namespace_all_self_Tensor_dim_IntArrayRef(SEXP selfSEXP, SEXP dimSEXP, SEXP keepdimSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalIndexIntArrayRef >::type dim(dimSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type keepdim(keepdimSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_all_self_Tensor_dim_IntArrayRef(self, dim, keepdim));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_namespace_all_out_out_Tensor_self_Tensor_dim_int64_t
 XPtrTorchTensor cpp_torch_namespace_all_out_out_Tensor_self_Tensor_dim_int64_t(XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchindex_int64_t dim, XPtrTorchbool keepdim);
 RcppExport SEXP _torch_cpp_torch_namespace_all_out_out_Tensor_self_Tensor_dim_int64_t(SEXP outSEXP, SEXP selfSEXP, SEXP dimSEXP, SEXP keepdimSEXP) {
@@ -10758,6 +11027,19 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_namespace_all_out_out_Tensor_self_Tensor_dim_IntArrayRef
+XPtrTorchTensor cpp_torch_namespace_all_out_out_Tensor_self_Tensor_dim_IntArrayRef(XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchOptionalIndexIntArrayRef dim, XPtrTorchbool keepdim);
+RcppExport SEXP _torch_cpp_torch_namespace_all_out_out_Tensor_self_Tensor_dim_IntArrayRef(SEXP outSEXP, SEXP selfSEXP, SEXP dimSEXP, SEXP keepdimSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalIndexIntArrayRef >::type dim(dimSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type keepdim(keepdimSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_all_out_out_Tensor_self_Tensor_dim_IntArrayRef(out, self, dim, keepdim));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_namespace_all_self_Tensor_dim_Dimname
 XPtrTorchTensor cpp_torch_namespace_all_self_Tensor_dim_Dimname(XPtrTorchTensor self, XPtrTorchDimname dim, XPtrTorchbool keepdim);
 RcppExport SEXP _torch_cpp_torch_namespace_all_self_Tensor_dim_Dimname(SEXP selfSEXP, SEXP dimSEXP, SEXP keepdimSEXP) {
@@ -10809,6 +11091,18 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_namespace_any_self_Tensor_dim_IntArrayRef
+XPtrTorchTensor cpp_torch_namespace_any_self_Tensor_dim_IntArrayRef(XPtrTorchTensor self, XPtrTorchOptionalIndexIntArrayRef dim, XPtrTorchbool keepdim);
+RcppExport SEXP _torch_cpp_torch_namespace_any_self_Tensor_dim_IntArrayRef(SEXP selfSEXP, SEXP dimSEXP, SEXP keepdimSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalIndexIntArrayRef >::type dim(dimSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type keepdim(keepdimSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_any_self_Tensor_dim_IntArrayRef(self, dim, keepdim));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_namespace_any_out_out_Tensor_self_Tensor_dim_int64_t
 XPtrTorchTensor cpp_torch_namespace_any_out_out_Tensor_self_Tensor_dim_int64_t(XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchindex_int64_t dim, XPtrTorchbool keepdim);
 RcppExport SEXP _torch_cpp_torch_namespace_any_out_out_Tensor_self_Tensor_dim_int64_t(SEXP outSEXP, SEXP selfSEXP, SEXP dimSEXP, SEXP keepdimSEXP) {
@@ -10822,6 +11116,19 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_namespace_any_out_out_Tensor_self_Tensor_dim_IntArrayRef
+XPtrTorchTensor cpp_torch_namespace_any_out_out_Tensor_self_Tensor_dim_IntArrayRef(XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchOptionalIndexIntArrayRef dim, XPtrTorchbool keepdim);
+RcppExport SEXP _torch_cpp_torch_namespace_any_out_out_Tensor_self_Tensor_dim_IntArrayRef(SEXP outSEXP, SEXP selfSEXP, SEXP dimSEXP, SEXP keepdimSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalIndexIntArrayRef >::type dim(dimSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type keepdim(keepdimSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_any_out_out_Tensor_self_Tensor_dim_IntArrayRef(out, self, dim, keepdim));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_namespace_any_self_Tensor_dim_Dimname
 XPtrTorchTensor cpp_torch_namespace_any_self_Tensor_dim_Dimname(XPtrTorchTensor self, XPtrTorchDimname dim, XPtrTorchbool keepdim);
 RcppExport SEXP _torch_cpp_torch_namespace_any_self_Tensor_dim_Dimname(SEXP selfSEXP, SEXP dimSEXP, SEXP keepdimSEXP) {
@@ -11675,6 +11982,16 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_namespace__lazy_clone_self_Tensor
+XPtrTorchTensor cpp_torch_namespace__lazy_clone_self_Tensor(XPtrTorchTensor self);
+RcppExport SEXP _torch_cpp_torch_namespace__lazy_clone_self_Tensor(SEXP selfSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__lazy_clone_self_Tensor(self));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_namespace_logical_not_self_Tensor
 XPtrTorchTensor cpp_torch_namespace_logical_not_self_Tensor(XPtrTorchTensor self);
 RcppExport SEXP _torch_cpp_torch_namespace_logical_not_self_Tensor(SEXP selfSEXP) {
@@ -13022,6 +13339,25 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_namespace_cudnn_convolution_out_out_Tensor_self_Tensor_weight_Tensor_padding_IntArrayRef_stride_IntArrayRef_dilation_IntArrayRef_groups_int64_t_benchmark_bool_deterministic_bool_allow_tf32_bool
+XPtrTorchTensor cpp_torch_namespace_cudnn_convolution_out_out_Tensor_self_Tensor_weight_Tensor_padding_IntArrayRef_stride_IntArrayRef_dilation_IntArrayRef_groups_int64_t_benchmark_bool_deterministic_bool_allow_tf32_bool(XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchTensor weight, XPtrTorchIntArrayRef padding, XPtrTorchIntArrayRef stride, XPtrTorchIntArrayRef dilation, XPtrTorchint64_t groups, XPtrTorchbool benchmark, XPtrTorchbool deterministic, XPtrTorchbool allow_tf32);
+RcppExport SEXP _torch_cpp_torch_namespace_cudnn_convolution_out_out_Tensor_self_Tensor_weight_Tensor_padding_IntArrayRef_stride_IntArrayRef_dilation_IntArrayRef_groups_int64_t_benchmark_bool_deterministic_bool_allow_tf32_bool(SEXP outSEXP, SEXP selfSEXP, SEXP weightSEXP, SEXP paddingSEXP, SEXP strideSEXP, SEXP dilationSEXP, SEXP groupsSEXP, SEXP benchmarkSEXP, SEXP deterministicSEXP, SEXP allow_tf32SEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type weight(weightSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchIntArrayRef >::type padding(paddingSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchIntArrayRef >::type stride(strideSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchIntArrayRef >::type dilation(dilationSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type groups(groupsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type benchmark(benchmarkSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type deterministic(deterministicSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type allow_tf32(allow_tf32SEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_cudnn_convolution_out_out_Tensor_self_Tensor_weight_Tensor_padding_IntArrayRef_stride_IntArrayRef_dilation_IntArrayRef_groups_int64_t_benchmark_bool_deterministic_bool_allow_tf32_bool(out, self, weight, padding, stride, dilation, groups, benchmark, deterministic, allow_tf32));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_namespace_cudnn_convolution_transpose_self_Tensor_weight_Tensor_padding_IntArrayRef_output_padding_IntArrayRef_stride_IntArrayRef_dilation_IntArrayRef_groups_int64_t_benchmark_bool_deterministic_bool_allow_tf32_bool
 XPtrTorchTensor cpp_torch_namespace_cudnn_convolution_transpose_self_Tensor_weight_Tensor_padding_IntArrayRef_output_padding_IntArrayRef_stride_IntArrayRef_dilation_IntArrayRef_groups_int64_t_benchmark_bool_deterministic_bool_allow_tf32_bool(XPtrTorchTensor self, XPtrTorchTensor weight, XPtrTorchIntArrayRef padding, XPtrTorchIntArrayRef output_padding, XPtrTorchIntArrayRef stride, XPtrTorchIntArrayRef dilation, XPtrTorchint64_t groups, XPtrTorchbool benchmark, XPtrTorchbool deterministic, XPtrTorchbool allow_tf32);
 RcppExport SEXP _torch_cpp_torch_namespace_cudnn_convolution_transpose_self_Tensor_weight_Tensor_padding_IntArrayRef_output_padding_IntArrayRef_stride_IntArrayRef_dilation_IntArrayRef_groups_int64_t_benchmark_bool_deterministic_bool_allow_tf32_bool(SEXP selfSEXP, SEXP weightSEXP, SEXP paddingSEXP, SEXP output_paddingSEXP, SEXP strideSEXP, SEXP dilationSEXP, SEXP groupsSEXP, SEXP benchmarkSEXP, SEXP deterministicSEXP, SEXP allow_tf32SEXP) {
@@ -14205,6 +14541,18 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_namespace_empty_permuted_size_IntArrayRef_physical_layout_IntArrayRef
+XPtrTorchTensor cpp_torch_namespace_empty_permuted_size_IntArrayRef_physical_layout_IntArrayRef(XPtrTorchIntArrayRef size, XPtrTorchIntArrayRef physical_layout, XPtrTorchTensorOptions options);
+RcppExport SEXP _torch_cpp_torch_namespace_empty_permuted_size_IntArrayRef_physical_layout_IntArrayRef(SEXP sizeSEXP, SEXP physical_layoutSEXP, SEXP optionsSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchIntArrayRef >::type size(sizeSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchIntArrayRef >::type physical_layout(physical_layoutSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorOptions >::type options(optionsSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_empty_permuted_size_IntArrayRef_physical_layout_IntArrayRef(size, physical_layout, options));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_namespace__empty_affine_quantized_size_IntArrayRef
 XPtrTorchTensor cpp_torch_namespace__empty_affine_quantized_size_IntArrayRef(XPtrTorchIntArrayRef size, XPtrTorchTensorOptions options, XPtrTorchdouble scale, XPtrTorchint64_t zero_point, XPtrTorchoptional_memory_format memory_format);
 RcppExport SEXP _torch_cpp_torch_namespace__empty_affine_quantized_size_IntArrayRef(SEXP sizeSEXP, SEXP optionsSEXP, SEXP scaleSEXP, SEXP zero_pointSEXP, SEXP memory_formatSEXP) {
@@ -15213,65 +15561,63 @@ BEGIN_RCPP
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__cufft_get_plan_cache_size_device_index_int64_t
-XPtrTorchint64_t cpp_torch_namespace__cufft_get_plan_cache_size_device_index_int64_t(XPtrTorchint64_t device_index);
-RcppExport SEXP _torch_cpp_torch_namespace__cufft_get_plan_cache_size_device_index_int64_t(SEXP device_indexSEXP) {
+// cpp_torch_namespace_index_self_Tensor_indices_constc10ListstdoptionalTensor
+XPtrTorchTensor cpp_torch_namespace_index_self_Tensor_indices_constc10ListstdoptionalTensor(XPtrTorchTensor self, XPtrTorchOptionalIndexTensorList indices);
+RcppExport SEXP _torch_cpp_torch_namespace_index_self_Tensor_indices_constc10ListstdoptionalTensor(SEXP selfSEXP, SEXP indicesSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
-    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type device_index(device_indexSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__cufft_get_plan_cache_size_device_index_int64_t(device_index));
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalIndexTensorList >::type indices(indicesSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_index_self_Tensor_indices_constc10ListstdoptionalTensor(self, indices));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__cufft_get_plan_cache_max_size_device_index_int64_t
-XPtrTorchint64_t cpp_torch_namespace__cufft_get_plan_cache_max_size_device_index_int64_t(XPtrTorchint64_t device_index);
-RcppExport SEXP _torch_cpp_torch_namespace__cufft_get_plan_cache_max_size_device_index_int64_t(SEXP device_indexSEXP) {
+// cpp_torch_namespace_index_out_out_Tensor_self_Tensor_indices_constc10ListstdoptionalTensor
+XPtrTorchTensor cpp_torch_namespace_index_out_out_Tensor_self_Tensor_indices_constc10ListstdoptionalTensor(XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchOptionalIndexTensorList indices);
+RcppExport SEXP _torch_cpp_torch_namespace_index_out_out_Tensor_self_Tensor_indices_constc10ListstdoptionalTensor(SEXP outSEXP, SEXP selfSEXP, SEXP indicesSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
-    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type device_index(device_indexSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__cufft_get_plan_cache_max_size_device_index_int64_t(device_index));
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalIndexTensorList >::type indices(indicesSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_index_out_out_Tensor_self_Tensor_indices_constc10ListstdoptionalTensor(out, self, indices));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__cufft_set_plan_cache_max_size_device_index_int64_t_max_size_int64_t
-void cpp_torch_namespace__cufft_set_plan_cache_max_size_device_index_int64_t_max_size_int64_t(XPtrTorchint64_t device_index, XPtrTorchint64_t max_size);
-RcppExport SEXP _torch_cpp_torch_namespace__cufft_set_plan_cache_max_size_device_index_int64_t_max_size_int64_t(SEXP device_indexSEXP, SEXP max_sizeSEXP) {
+// cpp_torch_namespace__unsafe_index_self_Tensor_indices_constc10ListstdoptionalTensor
+XPtrTorchTensor cpp_torch_namespace__unsafe_index_self_Tensor_indices_constc10ListstdoptionalTensor(XPtrTorchTensor self, XPtrTorchOptionalIndexTensorList indices);
+RcppExport SEXP _torch_cpp_torch_namespace__unsafe_index_self_Tensor_indices_constc10ListstdoptionalTensor(SEXP selfSEXP, SEXP indicesSEXP) {
 BEGIN_RCPP
-    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type device_index(device_indexSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type max_size(max_sizeSEXP);
-    cpp_torch_namespace__cufft_set_plan_cache_max_size_device_index_int64_t_max_size_int64_t(device_index, max_size);
-    return R_NilValue;
-END_RCPP
-}
-// cpp_torch_namespace__cufft_clear_plan_cache_device_index_int64_t
-void cpp_torch_namespace__cufft_clear_plan_cache_device_index_int64_t(XPtrTorchint64_t device_index);
-RcppExport SEXP _torch_cpp_torch_namespace__cufft_clear_plan_cache_device_index_int64_t(SEXP device_indexSEXP) {
-BEGIN_RCPP
-    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type device_index(device_indexSEXP);
-    cpp_torch_namespace__cufft_clear_plan_cache_device_index_int64_t(device_index);
-    return R_NilValue;
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalIndexTensorList >::type indices(indicesSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__unsafe_index_self_Tensor_indices_constc10ListstdoptionalTensor(self, indices));
+    return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace_index_self_Tensor_indices_constc10Listc10optionalTensor
-XPtrTorchTensor cpp_torch_namespace_index_self_Tensor_indices_constc10Listc10optionalTensor(XPtrTorchTensor self, XPtrTorchOptionalIndexTensorList indices);
-RcppExport SEXP _torch_cpp_torch_namespace_index_self_Tensor_indices_constc10Listc10optionalTensor(SEXP selfSEXP, SEXP indicesSEXP) {
+// cpp_torch_namespace__unsafe_masked_index_self_Tensor_mask_Tensor_indices_constc10ListstdoptionalTensor_fill_Scalar
+XPtrTorchTensor cpp_torch_namespace__unsafe_masked_index_self_Tensor_mask_Tensor_indices_constc10ListstdoptionalTensor_fill_Scalar(XPtrTorchTensor self, XPtrTorchTensor mask, XPtrTorchOptionalIndexTensorList indices, XPtrTorchScalar fill);
+RcppExport SEXP _torch_cpp_torch_namespace__unsafe_masked_index_self_Tensor_mask_Tensor_indices_constc10ListstdoptionalTensor_fill_Scalar(SEXP selfSEXP, SEXP maskSEXP, SEXP indicesSEXP, SEXP fillSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type mask(maskSEXP);
     Rcpp::traits::input_parameter< XPtrTorchOptionalIndexTensorList >::type indices(indicesSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_index_self_Tensor_indices_constc10Listc10optionalTensor(self, indices));
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type fill(fillSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__unsafe_masked_index_self_Tensor_mask_Tensor_indices_constc10ListstdoptionalTensor_fill_Scalar(self, mask, indices, fill));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace_index_out_out_Tensor_self_Tensor_indices_constc10Listc10optionalTensor
-XPtrTorchTensor cpp_torch_namespace_index_out_out_Tensor_self_Tensor_indices_constc10Listc10optionalTensor(XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchOptionalIndexTensorList indices);
-RcppExport SEXP _torch_cpp_torch_namespace_index_out_out_Tensor_self_Tensor_indices_constc10Listc10optionalTensor(SEXP outSEXP, SEXP selfSEXP, SEXP indicesSEXP) {
+// cpp_torch_namespace__unsafe_masked_index_put_accumulate_self_Tensor_mask_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor
+XPtrTorchTensor cpp_torch_namespace__unsafe_masked_index_put_accumulate_self_Tensor_mask_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor(XPtrTorchTensor self, XPtrTorchTensor mask, XPtrTorchOptionalIndexTensorList indices, XPtrTorchTensor values);
+RcppExport SEXP _torch_cpp_torch_namespace__unsafe_masked_index_put_accumulate_self_Tensor_mask_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor(SEXP selfSEXP, SEXP maskSEXP, SEXP indicesSEXP, SEXP valuesSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type mask(maskSEXP);
     Rcpp::traits::input_parameter< XPtrTorchOptionalIndexTensorList >::type indices(indicesSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_index_out_out_Tensor_self_Tensor_indices_constc10Listc10optionalTensor(out, self, indices));
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type values(valuesSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__unsafe_masked_index_put_accumulate_self_Tensor_mask_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor(self, mask, indices, values));
     return rcpp_result_gen;
 END_RCPP
 }
@@ -15315,35 +15661,48 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace_index_put__self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor
-XPtrTorchTensor cpp_torch_namespace_index_put__self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor(XPtrTorchTensor self, XPtrTorchOptionalIndexTensorList indices, XPtrTorchTensor values, XPtrTorchbool accumulate);
-RcppExport SEXP _torch_cpp_torch_namespace_index_put__self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor(SEXP selfSEXP, SEXP indicesSEXP, SEXP valuesSEXP, SEXP accumulateSEXP) {
+// cpp_torch_namespace_index_put__self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor
+XPtrTorchTensor cpp_torch_namespace_index_put__self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor(XPtrTorchTensor self, XPtrTorchOptionalIndexTensorList indices, XPtrTorchTensor values, XPtrTorchbool accumulate);
+RcppExport SEXP _torch_cpp_torch_namespace_index_put__self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor(SEXP selfSEXP, SEXP indicesSEXP, SEXP valuesSEXP, SEXP accumulateSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalIndexTensorList >::type indices(indicesSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type values(valuesSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type accumulate(accumulateSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_index_put__self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor(self, indices, values, accumulate));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace_index_put_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor
+XPtrTorchTensor cpp_torch_namespace_index_put_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor(XPtrTorchTensor self, XPtrTorchOptionalIndexTensorList indices, XPtrTorchTensor values, XPtrTorchbool accumulate);
+RcppExport SEXP _torch_cpp_torch_namespace_index_put_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor(SEXP selfSEXP, SEXP indicesSEXP, SEXP valuesSEXP, SEXP accumulateSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
     Rcpp::traits::input_parameter< XPtrTorchOptionalIndexTensorList >::type indices(indicesSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type values(valuesSEXP);
     Rcpp::traits::input_parameter< XPtrTorchbool >::type accumulate(accumulateSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_index_put__self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor(self, indices, values, accumulate));
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_index_put_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor(self, indices, values, accumulate));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace_index_put_self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor
-XPtrTorchTensor cpp_torch_namespace_index_put_self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor(XPtrTorchTensor self, XPtrTorchOptionalIndexTensorList indices, XPtrTorchTensor values, XPtrTorchbool accumulate);
-RcppExport SEXP _torch_cpp_torch_namespace_index_put_self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor(SEXP selfSEXP, SEXP indicesSEXP, SEXP valuesSEXP, SEXP accumulateSEXP) {
+// cpp_torch_namespace__unsafe_index_put_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor
+XPtrTorchTensor cpp_torch_namespace__unsafe_index_put_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor(XPtrTorchTensor self, XPtrTorchOptionalIndexTensorList indices, XPtrTorchTensor values, XPtrTorchbool accumulate);
+RcppExport SEXP _torch_cpp_torch_namespace__unsafe_index_put_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor(SEXP selfSEXP, SEXP indicesSEXP, SEXP valuesSEXP, SEXP accumulateSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
     Rcpp::traits::input_parameter< XPtrTorchOptionalIndexTensorList >::type indices(indicesSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type values(valuesSEXP);
     Rcpp::traits::input_parameter< XPtrTorchbool >::type accumulate(accumulateSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_index_put_self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor(self, indices, values, accumulate));
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__unsafe_index_put_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor(self, indices, values, accumulate));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__index_put_impl__self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor
-XPtrTorchTensor cpp_torch_namespace__index_put_impl__self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor(XPtrTorchTensor self, XPtrTorchOptionalIndexTensorList indices, XPtrTorchTensor values, XPtrTorchbool accumulate, XPtrTorchbool unsafe);
-RcppExport SEXP _torch_cpp_torch_namespace__index_put_impl__self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor(SEXP selfSEXP, SEXP indicesSEXP, SEXP valuesSEXP, SEXP accumulateSEXP, SEXP unsafeSEXP) {
+// cpp_torch_namespace__index_put_impl__self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor
+XPtrTorchTensor cpp_torch_namespace__index_put_impl__self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor(XPtrTorchTensor self, XPtrTorchOptionalIndexTensorList indices, XPtrTorchTensor values, XPtrTorchbool accumulate, XPtrTorchbool unsafe);
+RcppExport SEXP _torch_cpp_torch_namespace__index_put_impl__self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor(SEXP selfSEXP, SEXP indicesSEXP, SEXP valuesSEXP, SEXP accumulateSEXP, SEXP unsafeSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
@@ -15351,7 +15710,7 @@ BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type values(valuesSEXP);
     Rcpp::traits::input_parameter< XPtrTorchbool >::type accumulate(accumulateSEXP);
     Rcpp::traits::input_parameter< XPtrTorchbool >::type unsafe(unsafeSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__index_put_impl__self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor(self, indices, values, accumulate, unsafe));
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__index_put_impl__self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor(self, indices, values, accumulate, unsafe));
     return rcpp_result_gen;
 END_RCPP
 }
@@ -15727,6 +16086,19 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_namespace_rms_norm_input_Tensor_normalized_shape_IntArrayRef
+XPtrTorchTensor cpp_torch_namespace_rms_norm_input_Tensor_normalized_shape_IntArrayRef(XPtrTorchTensor input, XPtrTorchIntArrayRef normalized_shape, XPtrTorchOptionalTensor weight, XPtrTorchOptionaldouble eps);
+RcppExport SEXP _torch_cpp_torch_namespace_rms_norm_input_Tensor_normalized_shape_IntArrayRef(SEXP inputSEXP, SEXP normalized_shapeSEXP, SEXP weightSEXP, SEXP epsSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type input(inputSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchIntArrayRef >::type normalized_shape(normalized_shapeSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type weight(weightSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionaldouble >::type eps(epsSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_rms_norm_input_Tensor_normalized_shape_IntArrayRef(input, normalized_shape, weight, eps));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_namespace_nan_to_num_self_Tensor
 XPtrTorchTensor cpp_torch_namespace_nan_to_num_self_Tensor(XPtrTorchTensor self, XPtrTorchOptionaldouble nan, XPtrTorchOptionaldouble posinf, XPtrTorchOptionaldouble neginf);
 RcppExport SEXP _torch_cpp_torch_namespace_nan_to_num_self_Tensor(SEXP selfSEXP, SEXP nanSEXP, SEXP posinfSEXP, SEXP neginfSEXP) {
@@ -15855,6 +16227,139 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_namespace__cslt_compress_input_Tensor
+XPtrTorchTensor cpp_torch_namespace__cslt_compress_input_Tensor(XPtrTorchTensor input);
+RcppExport SEXP _torch_cpp_torch_namespace__cslt_compress_input_Tensor(SEXP inputSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type input(inputSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__cslt_compress_input_Tensor(input));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__cslt_sparse_mm_compressed_A_Tensor_dense_B_Tensor
+XPtrTorchTensor cpp_torch_namespace__cslt_sparse_mm_compressed_A_Tensor_dense_B_Tensor(XPtrTorchTensor compressed_A, XPtrTorchTensor dense_B, XPtrTorchOptionalTensor bias, XPtrTorchOptionalTensor alpha, XPtrTorchoptional_scalar_type out_dtype, XPtrTorchbool transpose_result, XPtrTorchint64_t alg_id);
+RcppExport SEXP _torch_cpp_torch_namespace__cslt_sparse_mm_compressed_A_Tensor_dense_B_Tensor(SEXP compressed_ASEXP, SEXP dense_BSEXP, SEXP biasSEXP, SEXP alphaSEXP, SEXP out_dtypeSEXP, SEXP transpose_resultSEXP, SEXP alg_idSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type compressed_A(compressed_ASEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type dense_B(dense_BSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type bias(biasSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type alpha(alphaSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchoptional_scalar_type >::type out_dtype(out_dtypeSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type transpose_result(transpose_resultSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type alg_id(alg_idSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__cslt_sparse_mm_compressed_A_Tensor_dense_B_Tensor(compressed_A, dense_B, bias, alpha, out_dtype, transpose_result, alg_id));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__cslt_sparse_mm_search_compressed_A_Tensor_dense_B_Tensor
+XPtrTorchint64_t cpp_torch_namespace__cslt_sparse_mm_search_compressed_A_Tensor_dense_B_Tensor(XPtrTorchTensor compressed_A, XPtrTorchTensor dense_B, XPtrTorchOptionalTensor bias, XPtrTorchOptionalTensor alpha, XPtrTorchoptional_scalar_type out_dtype, XPtrTorchbool transpose_result);
+RcppExport SEXP _torch_cpp_torch_namespace__cslt_sparse_mm_search_compressed_A_Tensor_dense_B_Tensor(SEXP compressed_ASEXP, SEXP dense_BSEXP, SEXP biasSEXP, SEXP alphaSEXP, SEXP out_dtypeSEXP, SEXP transpose_resultSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type compressed_A(compressed_ASEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type dense_B(dense_BSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type bias(biasSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type alpha(alphaSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchoptional_scalar_type >::type out_dtype(out_dtypeSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type transpose_result(transpose_resultSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__cslt_sparse_mm_search_compressed_A_Tensor_dense_B_Tensor(compressed_A, dense_B, bias, alpha, out_dtype, transpose_result));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__sparse_semi_structured_tile_input_Tensor
+Rcpp::List cpp_torch_namespace__sparse_semi_structured_tile_input_Tensor(XPtrTorchTensor input, XPtrTorchstring_view algorithm, XPtrTorchbool use_cutlass);
+RcppExport SEXP _torch_cpp_torch_namespace__sparse_semi_structured_tile_input_Tensor(SEXP inputSEXP, SEXP algorithmSEXP, SEXP use_cutlassSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type input(inputSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchstring_view >::type algorithm(algorithmSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type use_cutlass(use_cutlassSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__sparse_semi_structured_tile_input_Tensor(input, algorithm, use_cutlass));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__sparse_semi_structured_apply_input_Tensor_thread_masks_Tensor
+Rcpp::List cpp_torch_namespace__sparse_semi_structured_apply_input_Tensor_thread_masks_Tensor(XPtrTorchTensor input, XPtrTorchTensor thread_masks);
+RcppExport SEXP _torch_cpp_torch_namespace__sparse_semi_structured_apply_input_Tensor_thread_masks_Tensor(SEXP inputSEXP, SEXP thread_masksSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type input(inputSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type thread_masks(thread_masksSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__sparse_semi_structured_apply_input_Tensor_thread_masks_Tensor(input, thread_masks));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__sparse_semi_structured_apply_dense_input_Tensor_thread_masks_Tensor
+XPtrTorchTensor cpp_torch_namespace__sparse_semi_structured_apply_dense_input_Tensor_thread_masks_Tensor(XPtrTorchTensor input, XPtrTorchTensor thread_masks);
+RcppExport SEXP _torch_cpp_torch_namespace__sparse_semi_structured_apply_dense_input_Tensor_thread_masks_Tensor(SEXP inputSEXP, SEXP thread_masksSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type input(inputSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type thread_masks(thread_masksSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__sparse_semi_structured_apply_dense_input_Tensor_thread_masks_Tensor(input, thread_masks));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__sparse_semi_structured_linear_input_Tensor_weight_Tensor_meta_Tensor
+XPtrTorchTensor cpp_torch_namespace__sparse_semi_structured_linear_input_Tensor_weight_Tensor_meta_Tensor(XPtrTorchTensor input, XPtrTorchTensor weight, XPtrTorchTensor meta, XPtrTorchOptionalTensor bias, XPtrTorchoptional_string_view activation, XPtrTorchoptional_scalar_type out_dtype);
+RcppExport SEXP _torch_cpp_torch_namespace__sparse_semi_structured_linear_input_Tensor_weight_Tensor_meta_Tensor(SEXP inputSEXP, SEXP weightSEXP, SEXP metaSEXP, SEXP biasSEXP, SEXP activationSEXP, SEXP out_dtypeSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type input(inputSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type weight(weightSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type meta(metaSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type bias(biasSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchoptional_string_view >::type activation(activationSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchoptional_scalar_type >::type out_dtype(out_dtypeSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__sparse_semi_structured_linear_input_Tensor_weight_Tensor_meta_Tensor(input, weight, meta, bias, activation, out_dtype));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__sparse_semi_structured_mm_mat1_Tensor_mat1_meta_Tensor_mat2_Tensor
+XPtrTorchTensor cpp_torch_namespace__sparse_semi_structured_mm_mat1_Tensor_mat1_meta_Tensor_mat2_Tensor(XPtrTorchTensor mat1, XPtrTorchTensor mat1_meta, XPtrTorchTensor mat2, XPtrTorchoptional_scalar_type out_dtype);
+RcppExport SEXP _torch_cpp_torch_namespace__sparse_semi_structured_mm_mat1_Tensor_mat1_meta_Tensor_mat2_Tensor(SEXP mat1SEXP, SEXP mat1_metaSEXP, SEXP mat2SEXP, SEXP out_dtypeSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type mat1(mat1SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type mat1_meta(mat1_metaSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type mat2(mat2SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchoptional_scalar_type >::type out_dtype(out_dtypeSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__sparse_semi_structured_mm_mat1_Tensor_mat1_meta_Tensor_mat2_Tensor(mat1, mat1_meta, mat2, out_dtype));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__sparse_semi_structured_addmm_input_Tensor_mat1_Tensor_mat1_meta_Tensor_mat2_Tensor
+XPtrTorchTensor cpp_torch_namespace__sparse_semi_structured_addmm_input_Tensor_mat1_Tensor_mat1_meta_Tensor_mat2_Tensor(XPtrTorchTensor input, XPtrTorchTensor mat1, XPtrTorchTensor mat1_meta, XPtrTorchTensor mat2, XPtrTorchScalar alpha, XPtrTorchScalar beta, XPtrTorchoptional_scalar_type out_dtype);
+RcppExport SEXP _torch_cpp_torch_namespace__sparse_semi_structured_addmm_input_Tensor_mat1_Tensor_mat1_meta_Tensor_mat2_Tensor(SEXP inputSEXP, SEXP mat1SEXP, SEXP mat1_metaSEXP, SEXP mat2SEXP, SEXP alphaSEXP, SEXP betaSEXP, SEXP out_dtypeSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type input(inputSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type mat1(mat1SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type mat1_meta(mat1_metaSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type mat2(mat2SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type alpha(alphaSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type beta(betaSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchoptional_scalar_type >::type out_dtype(out_dtypeSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__sparse_semi_structured_addmm_input_Tensor_mat1_Tensor_mat1_meta_Tensor_mat2_Tensor(input, mat1, mat1_meta, mat2, alpha, beta, out_dtype));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__mixed_dtypes_linear_input_Tensor_weight_Tensor_scale_Tensor
+XPtrTorchTensor cpp_torch_namespace__mixed_dtypes_linear_input_Tensor_weight_Tensor_scale_Tensor(XPtrTorchTensor input, XPtrTorchTensor weight, XPtrTorchTensor scale, XPtrTorchOptionalTensor bias, XPtrTorchoptional_string_view activation);
+RcppExport SEXP _torch_cpp_torch_namespace__mixed_dtypes_linear_input_Tensor_weight_Tensor_scale_Tensor(SEXP inputSEXP, SEXP weightSEXP, SEXP scaleSEXP, SEXP biasSEXP, SEXP activationSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type input(inputSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type weight(weightSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type scale(scaleSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type bias(biasSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchoptional_string_view >::type activation(activationSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__mixed_dtypes_linear_input_Tensor_weight_Tensor_scale_Tensor(input, weight, scale, bias, activation));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_namespace_fbgemm_linear_int8_weight_fp32_activation_input_Tensor_weight_Tensor_packed_Tensor_col_offsets_Tensor_weight_scale_Scalar_weight_zero_point_Scalar_bias_Tensor
 XPtrTorchTensor cpp_torch_namespace_fbgemm_linear_int8_weight_fp32_activation_input_Tensor_weight_Tensor_packed_Tensor_col_offsets_Tensor_weight_scale_Scalar_weight_zero_point_Scalar_bias_Tensor(XPtrTorchTensor input, XPtrTorchTensor weight, XPtrTorchTensor packed, XPtrTorchTensor col_offsets, XPtrTorchScalar weight_scale, XPtrTorchScalar weight_zero_point, XPtrTorchTensor bias);
 RcppExport SEXP _torch_cpp_torch_namespace_fbgemm_linear_int8_weight_fp32_activation_input_Tensor_weight_Tensor_packed_Tensor_col_offsets_Tensor_weight_scale_Scalar_weight_zero_point_Scalar_bias_Tensor(SEXP inputSEXP, SEXP weightSEXP, SEXP packedSEXP, SEXP col_offsetsSEXP, SEXP weight_scaleSEXP, SEXP weight_zero_pointSEXP, SEXP biasSEXP) {
@@ -15907,6 +16412,35 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_namespace__wrapped_linear_prepack_weight_Tensor_weight_scale_Tensor_weight_zero_point_Tensor_bias_Tensor
+XPtrTorchTensor cpp_torch_namespace__wrapped_linear_prepack_weight_Tensor_weight_scale_Tensor_weight_zero_point_Tensor_bias_Tensor(XPtrTorchTensor weight, XPtrTorchTensor weight_scale, XPtrTorchTensor weight_zero_point, XPtrTorchTensor bias);
+RcppExport SEXP _torch_cpp_torch_namespace__wrapped_linear_prepack_weight_Tensor_weight_scale_Tensor_weight_zero_point_Tensor_bias_Tensor(SEXP weightSEXP, SEXP weight_scaleSEXP, SEXP weight_zero_pointSEXP, SEXP biasSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type weight(weightSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type weight_scale(weight_scaleSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type weight_zero_point(weight_zero_pointSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type bias(biasSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__wrapped_linear_prepack_weight_Tensor_weight_scale_Tensor_weight_zero_point_Tensor_bias_Tensor(weight, weight_scale, weight_zero_point, bias));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__wrapped_quantized_linear_prepacked_input_Tensor_input_scale_Tensor_input_zero_point_Tensor_packed_weight_Tensor_output_scale_Tensor_output_zero_point_Tensor_out_channel_int64_t
+XPtrTorchTensor cpp_torch_namespace__wrapped_quantized_linear_prepacked_input_Tensor_input_scale_Tensor_input_zero_point_Tensor_packed_weight_Tensor_output_scale_Tensor_output_zero_point_Tensor_out_channel_int64_t(XPtrTorchTensor input, XPtrTorchTensor input_scale, XPtrTorchTensor input_zero_point, XPtrTorchTensor packed_weight, XPtrTorchTensor output_scale, XPtrTorchTensor output_zero_point, XPtrTorchint64_t out_channel);
+RcppExport SEXP _torch_cpp_torch_namespace__wrapped_quantized_linear_prepacked_input_Tensor_input_scale_Tensor_input_zero_point_Tensor_packed_weight_Tensor_output_scale_Tensor_output_zero_point_Tensor_out_channel_int64_t(SEXP inputSEXP, SEXP input_scaleSEXP, SEXP input_zero_pointSEXP, SEXP packed_weightSEXP, SEXP output_scaleSEXP, SEXP output_zero_pointSEXP, SEXP out_channelSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type input(inputSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type input_scale(input_scaleSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type input_zero_point(input_zero_pointSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type packed_weight(packed_weightSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type output_scale(output_scaleSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type output_zero_point(output_zero_pointSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type out_channel(out_channelSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__wrapped_quantized_linear_prepacked_input_Tensor_input_scale_Tensor_input_zero_point_Tensor_packed_weight_Tensor_output_scale_Tensor_output_zero_point_Tensor_out_channel_int64_t(input, input_scale, input_zero_point, packed_weight, output_scale, output_zero_point, out_channel));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_namespace_fbgemm_linear_fp16_weight_fp32_activation_input_Tensor_packed_weight_Tensor_bias_Tensor
 XPtrTorchTensor cpp_torch_namespace_fbgemm_linear_fp16_weight_fp32_activation_input_Tensor_packed_weight_Tensor_bias_Tensor(XPtrTorchTensor input, XPtrTorchTensor packed_weight, XPtrTorchTensor bias);
 RcppExport SEXP _torch_cpp_torch_namespace_fbgemm_linear_fp16_weight_fp32_activation_input_Tensor_packed_weight_Tensor_bias_Tensor(SEXP inputSEXP, SEXP packed_weightSEXP, SEXP biasSEXP) {
@@ -16000,6 +16534,45 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_namespace_linspace_start_Tensor_end_Tensor_steps_int64_t
+XPtrTorchTensor cpp_torch_namespace_linspace_start_Tensor_end_Tensor_steps_int64_t(XPtrTorchTensor start, XPtrTorchTensor end, XPtrTorchint64_t steps, XPtrTorchTensorOptions options);
+RcppExport SEXP _torch_cpp_torch_namespace_linspace_start_Tensor_end_Tensor_steps_int64_t(SEXP startSEXP, SEXP endSEXP, SEXP stepsSEXP, SEXP optionsSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type start(startSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type end(endSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type steps(stepsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorOptions >::type options(optionsSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_linspace_start_Tensor_end_Tensor_steps_int64_t(start, end, steps, options));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace_linspace_start_Tensor_end_Scalar_steps_int64_t
+XPtrTorchTensor cpp_torch_namespace_linspace_start_Tensor_end_Scalar_steps_int64_t(XPtrTorchTensor start, XPtrTorchScalar end, XPtrTorchint64_t steps, XPtrTorchTensorOptions options);
+RcppExport SEXP _torch_cpp_torch_namespace_linspace_start_Tensor_end_Scalar_steps_int64_t(SEXP startSEXP, SEXP endSEXP, SEXP stepsSEXP, SEXP optionsSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type start(startSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type end(endSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type steps(stepsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorOptions >::type options(optionsSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_linspace_start_Tensor_end_Scalar_steps_int64_t(start, end, steps, options));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace_linspace_start_Scalar_end_Tensor_steps_int64_t
+XPtrTorchTensor cpp_torch_namespace_linspace_start_Scalar_end_Tensor_steps_int64_t(XPtrTorchScalar start, XPtrTorchTensor end, XPtrTorchint64_t steps, XPtrTorchTensorOptions options);
+RcppExport SEXP _torch_cpp_torch_namespace_linspace_start_Scalar_end_Tensor_steps_int64_t(SEXP startSEXP, SEXP endSEXP, SEXP stepsSEXP, SEXP optionsSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type start(startSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type end(endSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type steps(stepsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorOptions >::type options(optionsSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_linspace_start_Scalar_end_Tensor_steps_int64_t(start, end, steps, options));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_namespace_linspace_out_out_Tensor_start_Scalar_end_Scalar_steps_int64_t
 XPtrTorchTensor cpp_torch_namespace_linspace_out_out_Tensor_start_Scalar_end_Scalar_steps_int64_t(XPtrTorchTensor out, XPtrTorchScalar start, XPtrTorchScalar end, XPtrTorchint64_t steps);
 RcppExport SEXP _torch_cpp_torch_namespace_linspace_out_out_Tensor_start_Scalar_end_Scalar_steps_int64_t(SEXP outSEXP, SEXP startSEXP, SEXP endSEXP, SEXP stepsSEXP) {
@@ -16013,6 +16586,45 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_namespace_linspace_out_out_Tensor_start_Tensor_end_Tensor_steps_int64_t
+XPtrTorchTensor cpp_torch_namespace_linspace_out_out_Tensor_start_Tensor_end_Tensor_steps_int64_t(XPtrTorchTensor out, XPtrTorchTensor start, XPtrTorchTensor end, XPtrTorchint64_t steps);
+RcppExport SEXP _torch_cpp_torch_namespace_linspace_out_out_Tensor_start_Tensor_end_Tensor_steps_int64_t(SEXP outSEXP, SEXP startSEXP, SEXP endSEXP, SEXP stepsSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type start(startSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type end(endSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type steps(stepsSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_linspace_out_out_Tensor_start_Tensor_end_Tensor_steps_int64_t(out, start, end, steps));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace_linspace_out_out_Tensor_start_Tensor_end_Scalar_steps_int64_t
+XPtrTorchTensor cpp_torch_namespace_linspace_out_out_Tensor_start_Tensor_end_Scalar_steps_int64_t(XPtrTorchTensor out, XPtrTorchTensor start, XPtrTorchScalar end, XPtrTorchint64_t steps);
+RcppExport SEXP _torch_cpp_torch_namespace_linspace_out_out_Tensor_start_Tensor_end_Scalar_steps_int64_t(SEXP outSEXP, SEXP startSEXP, SEXP endSEXP, SEXP stepsSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type start(startSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type end(endSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type steps(stepsSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_linspace_out_out_Tensor_start_Tensor_end_Scalar_steps_int64_t(out, start, end, steps));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace_linspace_out_out_Tensor_start_Scalar_end_Tensor_steps_int64_t
+XPtrTorchTensor cpp_torch_namespace_linspace_out_out_Tensor_start_Scalar_end_Tensor_steps_int64_t(XPtrTorchTensor out, XPtrTorchScalar start, XPtrTorchTensor end, XPtrTorchint64_t steps);
+RcppExport SEXP _torch_cpp_torch_namespace_linspace_out_out_Tensor_start_Scalar_end_Tensor_steps_int64_t(SEXP outSEXP, SEXP startSEXP, SEXP endSEXP, SEXP stepsSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type start(startSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type end(endSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type steps(stepsSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_linspace_out_out_Tensor_start_Scalar_end_Tensor_steps_int64_t(out, start, end, steps));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_namespace_log_self_Tensor
 XPtrTorchTensor cpp_torch_namespace_log_self_Tensor(XPtrTorchTensor self);
 RcppExport SEXP _torch_cpp_torch_namespace_log_self_Tensor(SEXP selfSEXP) {
@@ -16288,6 +16900,48 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_namespace_logspace_start_Tensor_end_Tensor_steps_int64_t
+XPtrTorchTensor cpp_torch_namespace_logspace_start_Tensor_end_Tensor_steps_int64_t(XPtrTorchTensor start, XPtrTorchTensor end, XPtrTorchint64_t steps, XPtrTorchdouble base, XPtrTorchTensorOptions options);
+RcppExport SEXP _torch_cpp_torch_namespace_logspace_start_Tensor_end_Tensor_steps_int64_t(SEXP startSEXP, SEXP endSEXP, SEXP stepsSEXP, SEXP baseSEXP, SEXP optionsSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type start(startSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type end(endSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type steps(stepsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type base(baseSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorOptions >::type options(optionsSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_logspace_start_Tensor_end_Tensor_steps_int64_t(start, end, steps, base, options));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace_logspace_start_Tensor_end_Scalar_steps_int64_t
+XPtrTorchTensor cpp_torch_namespace_logspace_start_Tensor_end_Scalar_steps_int64_t(XPtrTorchTensor start, XPtrTorchScalar end, XPtrTorchint64_t steps, XPtrTorchdouble base, XPtrTorchTensorOptions options);
+RcppExport SEXP _torch_cpp_torch_namespace_logspace_start_Tensor_end_Scalar_steps_int64_t(SEXP startSEXP, SEXP endSEXP, SEXP stepsSEXP, SEXP baseSEXP, SEXP optionsSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type start(startSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type end(endSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type steps(stepsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type base(baseSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorOptions >::type options(optionsSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_logspace_start_Tensor_end_Scalar_steps_int64_t(start, end, steps, base, options));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace_logspace_start_Scalar_end_Tensor_steps_int64_t
+XPtrTorchTensor cpp_torch_namespace_logspace_start_Scalar_end_Tensor_steps_int64_t(XPtrTorchScalar start, XPtrTorchTensor end, XPtrTorchint64_t steps, XPtrTorchdouble base, XPtrTorchTensorOptions options);
+RcppExport SEXP _torch_cpp_torch_namespace_logspace_start_Scalar_end_Tensor_steps_int64_t(SEXP startSEXP, SEXP endSEXP, SEXP stepsSEXP, SEXP baseSEXP, SEXP optionsSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type start(startSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type end(endSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type steps(stepsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type base(baseSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorOptions >::type options(optionsSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_logspace_start_Scalar_end_Tensor_steps_int64_t(start, end, steps, base, options));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_namespace_logspace_out_out_Tensor_start_Scalar_end_Scalar_steps_int64_t
 XPtrTorchTensor cpp_torch_namespace_logspace_out_out_Tensor_start_Scalar_end_Scalar_steps_int64_t(XPtrTorchTensor out, XPtrTorchScalar start, XPtrTorchScalar end, XPtrTorchint64_t steps, XPtrTorchdouble base);
 RcppExport SEXP _torch_cpp_torch_namespace_logspace_out_out_Tensor_start_Scalar_end_Scalar_steps_int64_t(SEXP outSEXP, SEXP startSEXP, SEXP endSEXP, SEXP stepsSEXP, SEXP baseSEXP) {
@@ -16302,6 +16956,48 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_namespace_logspace_out_out_Tensor_start_Tensor_end_Tensor_steps_int64_t
+XPtrTorchTensor cpp_torch_namespace_logspace_out_out_Tensor_start_Tensor_end_Tensor_steps_int64_t(XPtrTorchTensor out, XPtrTorchTensor start, XPtrTorchTensor end, XPtrTorchint64_t steps, XPtrTorchdouble base);
+RcppExport SEXP _torch_cpp_torch_namespace_logspace_out_out_Tensor_start_Tensor_end_Tensor_steps_int64_t(SEXP outSEXP, SEXP startSEXP, SEXP endSEXP, SEXP stepsSEXP, SEXP baseSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type start(startSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type end(endSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type steps(stepsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type base(baseSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_logspace_out_out_Tensor_start_Tensor_end_Tensor_steps_int64_t(out, start, end, steps, base));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace_logspace_out_out_Tensor_start_Tensor_end_Scalar_steps_int64_t
+XPtrTorchTensor cpp_torch_namespace_logspace_out_out_Tensor_start_Tensor_end_Scalar_steps_int64_t(XPtrTorchTensor out, XPtrTorchTensor start, XPtrTorchScalar end, XPtrTorchint64_t steps, XPtrTorchdouble base);
+RcppExport SEXP _torch_cpp_torch_namespace_logspace_out_out_Tensor_start_Tensor_end_Scalar_steps_int64_t(SEXP outSEXP, SEXP startSEXP, SEXP endSEXP, SEXP stepsSEXP, SEXP baseSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type start(startSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type end(endSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type steps(stepsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type base(baseSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_logspace_out_out_Tensor_start_Tensor_end_Scalar_steps_int64_t(out, start, end, steps, base));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace_logspace_out_out_Tensor_start_Scalar_end_Tensor_steps_int64_t
+XPtrTorchTensor cpp_torch_namespace_logspace_out_out_Tensor_start_Scalar_end_Tensor_steps_int64_t(XPtrTorchTensor out, XPtrTorchScalar start, XPtrTorchTensor end, XPtrTorchint64_t steps, XPtrTorchdouble base);
+RcppExport SEXP _torch_cpp_torch_namespace_logspace_out_out_Tensor_start_Scalar_end_Tensor_steps_int64_t(SEXP outSEXP, SEXP startSEXP, SEXP endSEXP, SEXP stepsSEXP, SEXP baseSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type start(startSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type end(endSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type steps(stepsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type base(baseSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_logspace_out_out_Tensor_start_Scalar_end_Tensor_steps_int64_t(out, start, end, steps, base));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_namespace_log_softmax_self_Tensor_dim_int64_t
 XPtrTorchTensor cpp_torch_namespace_log_softmax_self_Tensor_dim_int64_t(XPtrTorchTensor self, XPtrTorchindex_int64_t dim, XPtrTorchoptional_scalar_type dtype);
 RcppExport SEXP _torch_cpp_torch_namespace_log_softmax_self_Tensor_dim_int64_t(SEXP selfSEXP, SEXP dimSEXP, SEXP dtypeSEXP) {
@@ -16921,6 +17617,21 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_namespace_quantized_max_pool3d_self_Tensor_kernel_size_IntArrayRef
+XPtrTorchTensor cpp_torch_namespace_quantized_max_pool3d_self_Tensor_kernel_size_IntArrayRef(XPtrTorchTensor self, XPtrTorchIntArrayRef kernel_size, XPtrTorchIntArrayRef stride, XPtrTorchIntArrayRef padding, XPtrTorchIntArrayRef dilation, XPtrTorchbool ceil_mode);
+RcppExport SEXP _torch_cpp_torch_namespace_quantized_max_pool3d_self_Tensor_kernel_size_IntArrayRef(SEXP selfSEXP, SEXP kernel_sizeSEXP, SEXP strideSEXP, SEXP paddingSEXP, SEXP dilationSEXP, SEXP ceil_modeSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchIntArrayRef >::type kernel_size(kernel_sizeSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchIntArrayRef >::type stride(strideSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchIntArrayRef >::type padding(paddingSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchIntArrayRef >::type dilation(dilationSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type ceil_mode(ceil_modeSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_quantized_max_pool3d_self_Tensor_kernel_size_IntArrayRef(self, kernel_size, stride, padding, dilation, ceil_mode));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_namespace_max_pool3d_self_Tensor_kernel_size_IntArrayRef
 XPtrTorchTensor cpp_torch_namespace_max_pool3d_self_Tensor_kernel_size_IntArrayRef(XPtrTorchTensor self, XPtrTorchIntArrayRef kernel_size, XPtrTorchIntArrayRef stride, XPtrTorchIntArrayRef padding, XPtrTorchIntArrayRef dilation, XPtrTorchbool ceil_mode);
 RcppExport SEXP _torch_cpp_torch_namespace_max_pool3d_self_Tensor_kernel_size_IntArrayRef(SEXP selfSEXP, SEXP kernel_sizeSEXP, SEXP strideSEXP, SEXP paddingSEXP, SEXP dilationSEXP, SEXP ceil_modeSEXP) {
@@ -16947,6 +17658,18 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_namespace_mean_out_out_Tensor_self_Tensor
+XPtrTorchTensor cpp_torch_namespace_mean_out_out_Tensor_self_Tensor(XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchoptional_scalar_type dtype);
+RcppExport SEXP _torch_cpp_torch_namespace_mean_out_out_Tensor_self_Tensor(SEXP outSEXP, SEXP selfSEXP, SEXP dtypeSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchoptional_scalar_type >::type dtype(dtypeSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_mean_out_out_Tensor_self_Tensor(out, self, dtype));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_namespace_mean_self_Tensor_dim_IntArrayRef
 XPtrTorchTensor cpp_torch_namespace_mean_self_Tensor_dim_IntArrayRef(XPtrTorchTensor self, XPtrTorchOptionalIndexIntArrayRef dim, XPtrTorchbool keepdim, XPtrTorchoptional_scalar_type dtype);
 RcppExport SEXP _torch_cpp_torch_namespace_mean_self_Tensor_dim_IntArrayRef(SEXP selfSEXP, SEXP dimSEXP, SEXP keepdimSEXP, SEXP dtypeSEXP) {
@@ -17534,6 +18257,65 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_namespace__int_mm_self_Tensor_mat2_Tensor
+XPtrTorchTensor cpp_torch_namespace__int_mm_self_Tensor_mat2_Tensor(XPtrTorchTensor self, XPtrTorchTensor mat2);
+RcppExport SEXP _torch_cpp_torch_namespace__int_mm_self_Tensor_mat2_Tensor(SEXP selfSEXP, SEXP mat2SEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type mat2(mat2SEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__int_mm_self_Tensor_mat2_Tensor(self, mat2));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__int_mm_out_out_Tensor_self_Tensor_mat2_Tensor
+XPtrTorchTensor cpp_torch_namespace__int_mm_out_out_Tensor_self_Tensor_mat2_Tensor(XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchTensor mat2);
+RcppExport SEXP _torch_cpp_torch_namespace__int_mm_out_out_Tensor_self_Tensor_mat2_Tensor(SEXP outSEXP, SEXP selfSEXP, SEXP mat2SEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type mat2(mat2SEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__int_mm_out_out_Tensor_self_Tensor_mat2_Tensor(out, self, mat2));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__convert_weight_to_int4pack_self_Tensor_innerKTiles_int64_t
+XPtrTorchTensor cpp_torch_namespace__convert_weight_to_int4pack_self_Tensor_innerKTiles_int64_t(XPtrTorchTensor self, XPtrTorchint64_t innerKTiles);
+RcppExport SEXP _torch_cpp_torch_namespace__convert_weight_to_int4pack_self_Tensor_innerKTiles_int64_t(SEXP selfSEXP, SEXP innerKTilesSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type innerKTiles(innerKTilesSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__convert_weight_to_int4pack_self_Tensor_innerKTiles_int64_t(self, innerKTiles));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__weight_int4pack_mm_self_Tensor_mat2_Tensor_qGroupSize_int64_t_qScaleAndZeros_Tensor
+XPtrTorchTensor cpp_torch_namespace__weight_int4pack_mm_self_Tensor_mat2_Tensor_qGroupSize_int64_t_qScaleAndZeros_Tensor(XPtrTorchTensor self, XPtrTorchTensor mat2, XPtrTorchint64_t qGroupSize, XPtrTorchTensor qScaleAndZeros);
+RcppExport SEXP _torch_cpp_torch_namespace__weight_int4pack_mm_self_Tensor_mat2_Tensor_qGroupSize_int64_t_qScaleAndZeros_Tensor(SEXP selfSEXP, SEXP mat2SEXP, SEXP qGroupSizeSEXP, SEXP qScaleAndZerosSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type mat2(mat2SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type qGroupSize(qGroupSizeSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type qScaleAndZeros(qScaleAndZerosSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__weight_int4pack_mm_self_Tensor_mat2_Tensor_qGroupSize_int64_t_qScaleAndZeros_Tensor(self, mat2, qGroupSize, qScaleAndZeros));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__weight_int8pack_mm_self_Tensor_mat2_Tensor_scales_Tensor
+XPtrTorchTensor cpp_torch_namespace__weight_int8pack_mm_self_Tensor_mat2_Tensor_scales_Tensor(XPtrTorchTensor self, XPtrTorchTensor mat2, XPtrTorchTensor scales);
+RcppExport SEXP _torch_cpp_torch_namespace__weight_int8pack_mm_self_Tensor_mat2_Tensor_scales_Tensor(SEXP selfSEXP, SEXP mat2SEXP, SEXP scalesSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type mat2(mat2SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type scales(scalesSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__weight_int8pack_mm_self_Tensor_mat2_Tensor_scales_Tensor(self, mat2, scales));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_namespace__sparse_mm_sparse_Tensor_dense_Tensor
 XPtrTorchTensor cpp_torch_namespace__sparse_mm_sparse_Tensor_dense_Tensor(XPtrTorchTensor sparse, XPtrTorchTensor dense);
 RcppExport SEXP _torch_cpp_torch_namespace__sparse_mm_sparse_Tensor_dense_Tensor(SEXP sparseSEXP, SEXP denseSEXP) {
@@ -17841,6 +18623,22 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_namespace__native_batch_norm_legit_no_training_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double
+Rcpp::List cpp_torch_namespace__native_batch_norm_legit_no_training_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double(XPtrTorchTensor input, XPtrTorchOptionalTensor weight, XPtrTorchOptionalTensor bias, XPtrTorchTensor running_mean, XPtrTorchTensor running_var, XPtrTorchdouble momentum, XPtrTorchdouble eps);
+RcppExport SEXP _torch_cpp_torch_namespace__native_batch_norm_legit_no_training_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double(SEXP inputSEXP, SEXP weightSEXP, SEXP biasSEXP, SEXP running_meanSEXP, SEXP running_varSEXP, SEXP momentumSEXP, SEXP epsSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type input(inputSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type weight(weightSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type bias(biasSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type running_mean(running_meanSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type running_var(running_varSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type momentum(momentumSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type eps(epsSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__native_batch_norm_legit_no_training_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double(input, weight, bias, running_mean, running_var, momentum, eps));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_namespace__native_batch_norm_legit_out_out_Tensor_save_mean_Tensor_save_invstd_Tensor_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_training_bool_momentum_double_eps_double
 Rcpp::List cpp_torch_namespace__native_batch_norm_legit_out_out_Tensor_save_mean_Tensor_save_invstd_Tensor_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_training_bool_momentum_double_eps_double(XPtrTorchTensor out, XPtrTorchTensor save_mean, XPtrTorchTensor save_invstd, XPtrTorchTensor input, XPtrTorchOptionalTensor weight, XPtrTorchOptionalTensor bias, XPtrTorchTensor running_mean, XPtrTorchTensor running_var, XPtrTorchbool training, XPtrTorchdouble momentum, XPtrTorchdouble eps);
 RcppExport SEXP _torch_cpp_torch_namespace__native_batch_norm_legit_out_out_Tensor_save_mean_Tensor_save_invstd_Tensor_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_training_bool_momentum_double_eps_double(SEXP outSEXP, SEXP save_meanSEXP, SEXP save_invstdSEXP, SEXP inputSEXP, SEXP weightSEXP, SEXP biasSEXP, SEXP running_meanSEXP, SEXP running_varSEXP, SEXP trainingSEXP, SEXP momentumSEXP, SEXP epsSEXP) {
@@ -18006,9 +18804,9 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace_batch_norm_backward_elemt_grad_out_Tensor_input_Tensor_mean_Tensor_invstd_Tensor_weight_Tensor_mean_dy_Tensor_mean_dy_xmu_Tensor_count_Tensor
-XPtrTorchTensor cpp_torch_namespace_batch_norm_backward_elemt_grad_out_Tensor_input_Tensor_mean_Tensor_invstd_Tensor_weight_Tensor_mean_dy_Tensor_mean_dy_xmu_Tensor_count_Tensor(XPtrTorchTensor grad_out, XPtrTorchTensor input, XPtrTorchTensor mean, XPtrTorchTensor invstd, XPtrTorchOptionalTensor weight, XPtrTorchTensor mean_dy, XPtrTorchTensor mean_dy_xmu, XPtrTorchTensor count);
-RcppExport SEXP _torch_cpp_torch_namespace_batch_norm_backward_elemt_grad_out_Tensor_input_Tensor_mean_Tensor_invstd_Tensor_weight_Tensor_mean_dy_Tensor_mean_dy_xmu_Tensor_count_Tensor(SEXP grad_outSEXP, SEXP inputSEXP, SEXP meanSEXP, SEXP invstdSEXP, SEXP weightSEXP, SEXP mean_dySEXP, SEXP mean_dy_xmuSEXP, SEXP countSEXP) {
+// cpp_torch_namespace_batch_norm_backward_elemt_grad_out_Tensor_input_Tensor_mean_Tensor_invstd_Tensor_weight_Tensor_sum_dy_Tensor_sum_dy_xmu_Tensor_count_Tensor
+XPtrTorchTensor cpp_torch_namespace_batch_norm_backward_elemt_grad_out_Tensor_input_Tensor_mean_Tensor_invstd_Tensor_weight_Tensor_sum_dy_Tensor_sum_dy_xmu_Tensor_count_Tensor(XPtrTorchTensor grad_out, XPtrTorchTensor input, XPtrTorchTensor mean, XPtrTorchTensor invstd, XPtrTorchOptionalTensor weight, XPtrTorchTensor sum_dy, XPtrTorchTensor sum_dy_xmu, XPtrTorchTensor count);
+RcppExport SEXP _torch_cpp_torch_namespace_batch_norm_backward_elemt_grad_out_Tensor_input_Tensor_mean_Tensor_invstd_Tensor_weight_Tensor_sum_dy_Tensor_sum_dy_xmu_Tensor_count_Tensor(SEXP grad_outSEXP, SEXP inputSEXP, SEXP meanSEXP, SEXP invstdSEXP, SEXP weightSEXP, SEXP sum_dySEXP, SEXP sum_dy_xmuSEXP, SEXP countSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type grad_out(grad_outSEXP);
@@ -18016,10 +18814,10 @@ BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type mean(meanSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type invstd(invstdSEXP);
     Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type weight(weightSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type mean_dy(mean_dySEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type mean_dy_xmu(mean_dy_xmuSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type sum_dy(sum_dySEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type sum_dy_xmu(sum_dy_xmuSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type count(countSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_batch_norm_backward_elemt_grad_out_Tensor_input_Tensor_mean_Tensor_invstd_Tensor_weight_Tensor_mean_dy_Tensor_mean_dy_xmu_Tensor_count_Tensor(grad_out, input, mean, invstd, weight, mean_dy, mean_dy_xmu, count));
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_batch_norm_backward_elemt_grad_out_Tensor_input_Tensor_mean_Tensor_invstd_Tensor_weight_Tensor_sum_dy_Tensor_sum_dy_xmu_Tensor_count_Tensor(grad_out, input, mean, invstd, weight, sum_dy, sum_dy_xmu, count));
     return rcpp_result_gen;
 END_RCPP
 }
@@ -19719,6 +20517,21 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_namespace_slice_inverse_self_Tensor_src_Tensor
+XPtrTorchTensor cpp_torch_namespace_slice_inverse_self_Tensor_src_Tensor(XPtrTorchTensor self, XPtrTorchTensor src, XPtrTorchindex_int64_t dim, XPtrTorchoptional_int64_t start, XPtrTorchoptional_int64_t end, XPtrTorchint64_t step);
+RcppExport SEXP _torch_cpp_torch_namespace_slice_inverse_self_Tensor_src_Tensor(SEXP selfSEXP, SEXP srcSEXP, SEXP dimSEXP, SEXP startSEXP, SEXP endSEXP, SEXP stepSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type src(srcSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchindex_int64_t >::type dim(dimSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchoptional_int64_t >::type start(startSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchoptional_int64_t >::type end(endSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type step(stepSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_slice_inverse_self_Tensor_src_Tensor(self, src, dim, start, end, step));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_namespace_slice_scatter_self_Tensor_src_Tensor
 XPtrTorchTensor cpp_torch_namespace_slice_scatter_self_Tensor_src_Tensor(XPtrTorchTensor self, XPtrTorchTensor src, XPtrTorchindex_int64_t dim, XPtrTorchoptional_int64_t start, XPtrTorchoptional_int64_t end, XPtrTorchint64_t step);
 RcppExport SEXP _torch_cpp_torch_namespace_slice_scatter_self_Tensor_src_Tensor(SEXP selfSEXP, SEXP srcSEXP, SEXP dimSEXP, SEXP startSEXP, SEXP endSEXP, SEXP stepSEXP) {
@@ -20073,6 +20886,31 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_namespace__chunk_cat_tensors_TensorList_dim_int64_t_num_chunks_int64_t
+XPtrTorchTensor cpp_torch_namespace__chunk_cat_tensors_TensorList_dim_int64_t_num_chunks_int64_t(XPtrTorchTensorList tensors, XPtrTorchindex_int64_t dim, XPtrTorchint64_t num_chunks);
+RcppExport SEXP _torch_cpp_torch_namespace__chunk_cat_tensors_TensorList_dim_int64_t_num_chunks_int64_t(SEXP tensorsSEXP, SEXP dimSEXP, SEXP num_chunksSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensors(tensorsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchindex_int64_t >::type dim(dimSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type num_chunks(num_chunksSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__chunk_cat_tensors_TensorList_dim_int64_t_num_chunks_int64_t(tensors, dim, num_chunks));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__chunk_cat_out_out_Tensor_tensors_TensorList_dim_int64_t_num_chunks_int64_t
+XPtrTorchTensor cpp_torch_namespace__chunk_cat_out_out_Tensor_tensors_TensorList_dim_int64_t_num_chunks_int64_t(XPtrTorchTensor out, XPtrTorchTensorList tensors, XPtrTorchindex_int64_t dim, XPtrTorchint64_t num_chunks);
+RcppExport SEXP _torch_cpp_torch_namespace__chunk_cat_out_out_Tensor_tensors_TensorList_dim_int64_t_num_chunks_int64_t(SEXP outSEXP, SEXP tensorsSEXP, SEXP dimSEXP, SEXP num_chunksSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensors(tensorsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchindex_int64_t >::type dim(dimSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type num_chunks(num_chunksSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__chunk_cat_out_out_Tensor_tensors_TensorList_dim_int64_t_num_chunks_int64_t(out, tensors, dim, num_chunks));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_namespace_stack_tensors_TensorList
 XPtrTorchTensor cpp_torch_namespace_stack_tensors_TensorList(XPtrTorchTensorList tensors, XPtrTorchindex_int64_t dim);
 RcppExport SEXP _torch_cpp_torch_namespace_stack_tensors_TensorList(SEXP tensorsSEXP, SEXP dimSEXP) {
@@ -20968,29 +21806,151 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__nested_view_from_buffer_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_IntArrayRef
-XPtrTorchTensor cpp_torch_namespace__nested_view_from_buffer_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_IntArrayRef(XPtrTorchTensor self, XPtrTorchTensor nested_size, XPtrTorchTensor nested_strides, XPtrTorchIntArrayRef offsets);
-RcppExport SEXP _torch_cpp_torch_namespace__nested_view_from_buffer_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_IntArrayRef(SEXP selfSEXP, SEXP nested_sizeSEXP, SEXP nested_stridesSEXP, SEXP offsetsSEXP) {
+// cpp_torch_namespace__nested_view_from_buffer_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_Tensor
+XPtrTorchTensor cpp_torch_namespace__nested_view_from_buffer_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_Tensor(XPtrTorchTensor self, XPtrTorchTensor nested_size, XPtrTorchTensor nested_strides, XPtrTorchTensor offsets);
+RcppExport SEXP _torch_cpp_torch_namespace__nested_view_from_buffer_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_Tensor(SEXP selfSEXP, SEXP nested_sizeSEXP, SEXP nested_stridesSEXP, SEXP offsetsSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type nested_size(nested_sizeSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type nested_strides(nested_stridesSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchIntArrayRef >::type offsets(offsetsSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__nested_view_from_buffer_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_IntArrayRef(self, nested_size, nested_strides, offsets));
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type offsets(offsetsSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__nested_view_from_buffer_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_Tensor(self, nested_size, nested_strides, offsets));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__nested_view_from_buffer_copy_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_IntArrayRef
-XPtrTorchTensor cpp_torch_namespace__nested_view_from_buffer_copy_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_IntArrayRef(XPtrTorchTensor self, XPtrTorchTensor nested_size, XPtrTorchTensor nested_strides, XPtrTorchIntArrayRef offsets);
-RcppExport SEXP _torch_cpp_torch_namespace__nested_view_from_buffer_copy_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_IntArrayRef(SEXP selfSEXP, SEXP nested_sizeSEXP, SEXP nested_stridesSEXP, SEXP offsetsSEXP) {
+// cpp_torch_namespace__nested_view_from_buffer_copy_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_Tensor
+XPtrTorchTensor cpp_torch_namespace__nested_view_from_buffer_copy_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_Tensor(XPtrTorchTensor self, XPtrTorchTensor nested_size, XPtrTorchTensor nested_strides, XPtrTorchTensor offsets);
+RcppExport SEXP _torch_cpp_torch_namespace__nested_view_from_buffer_copy_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_Tensor(SEXP selfSEXP, SEXP nested_sizeSEXP, SEXP nested_stridesSEXP, SEXP offsetsSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type nested_size(nested_sizeSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type nested_strides(nested_stridesSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchIntArrayRef >::type offsets(offsetsSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__nested_view_from_buffer_copy_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_IntArrayRef(self, nested_size, nested_strides, offsets));
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type offsets(offsetsSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__nested_view_from_buffer_copy_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_Tensor(self, nested_size, nested_strides, offsets));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__nested_view_from_jagged_self_Tensor_offsets_Tensor_dummy_Tensor
+XPtrTorchTensor cpp_torch_namespace__nested_view_from_jagged_self_Tensor_offsets_Tensor_dummy_Tensor(XPtrTorchTensor self, XPtrTorchTensor offsets, XPtrTorchTensor dummy, XPtrTorchOptionalTensor lengths, XPtrTorchint64_t ragged_idx, XPtrTorchOptionalTensor min_seqlen, XPtrTorchOptionalTensor max_seqlen);
+RcppExport SEXP _torch_cpp_torch_namespace__nested_view_from_jagged_self_Tensor_offsets_Tensor_dummy_Tensor(SEXP selfSEXP, SEXP offsetsSEXP, SEXP dummySEXP, SEXP lengthsSEXP, SEXP ragged_idxSEXP, SEXP min_seqlenSEXP, SEXP max_seqlenSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type offsets(offsetsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type dummy(dummySEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type lengths(lengthsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type ragged_idx(ragged_idxSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type min_seqlen(min_seqlenSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type max_seqlen(max_seqlenSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__nested_view_from_jagged_self_Tensor_offsets_Tensor_dummy_Tensor(self, offsets, dummy, lengths, ragged_idx, min_seqlen, max_seqlen));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__nested_view_from_jagged_copy_self_Tensor_offsets_Tensor_dummy_Tensor
+XPtrTorchTensor cpp_torch_namespace__nested_view_from_jagged_copy_self_Tensor_offsets_Tensor_dummy_Tensor(XPtrTorchTensor self, XPtrTorchTensor offsets, XPtrTorchTensor dummy, XPtrTorchOptionalTensor lengths, XPtrTorchint64_t ragged_idx, XPtrTorchOptionalTensor min_seqlen, XPtrTorchOptionalTensor max_seqlen);
+RcppExport SEXP _torch_cpp_torch_namespace__nested_view_from_jagged_copy_self_Tensor_offsets_Tensor_dummy_Tensor(SEXP selfSEXP, SEXP offsetsSEXP, SEXP dummySEXP, SEXP lengthsSEXP, SEXP ragged_idxSEXP, SEXP min_seqlenSEXP, SEXP max_seqlenSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type offsets(offsetsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type dummy(dummySEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type lengths(lengthsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type ragged_idx(ragged_idxSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type min_seqlen(min_seqlenSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type max_seqlen(max_seqlenSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__nested_view_from_jagged_copy_self_Tensor_offsets_Tensor_dummy_Tensor(self, offsets, dummy, lengths, ragged_idx, min_seqlen, max_seqlen));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__nested_get_values_self_Tensor
+XPtrTorchTensor cpp_torch_namespace__nested_get_values_self_Tensor(XPtrTorchTensor self);
+RcppExport SEXP _torch_cpp_torch_namespace__nested_get_values_self_Tensor(SEXP selfSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__nested_get_values_self_Tensor(self));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__nested_get_values_copy_self_Tensor
+XPtrTorchTensor cpp_torch_namespace__nested_get_values_copy_self_Tensor(XPtrTorchTensor self);
+RcppExport SEXP _torch_cpp_torch_namespace__nested_get_values_copy_self_Tensor(SEXP selfSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__nested_get_values_copy_self_Tensor(self));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__nested_get_offsets_self_Tensor
+XPtrTorchTensor cpp_torch_namespace__nested_get_offsets_self_Tensor(XPtrTorchTensor self);
+RcppExport SEXP _torch_cpp_torch_namespace__nested_get_offsets_self_Tensor(SEXP selfSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__nested_get_offsets_self_Tensor(self));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__nested_get_lengths_self_Tensor
+XPtrTorchTensor cpp_torch_namespace__nested_get_lengths_self_Tensor(XPtrTorchTensor self);
+RcppExport SEXP _torch_cpp_torch_namespace__nested_get_lengths_self_Tensor(SEXP selfSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__nested_get_lengths_self_Tensor(self));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__nested_get_ragged_idx_self_Tensor
+XPtrTorchint64_t cpp_torch_namespace__nested_get_ragged_idx_self_Tensor(XPtrTorchTensor self);
+RcppExport SEXP _torch_cpp_torch_namespace__nested_get_ragged_idx_self_Tensor(SEXP selfSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__nested_get_ragged_idx_self_Tensor(self));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__nested_get_min_seqlen_self_Tensor
+XPtrTorchTensor cpp_torch_namespace__nested_get_min_seqlen_self_Tensor(XPtrTorchTensor self);
+RcppExport SEXP _torch_cpp_torch_namespace__nested_get_min_seqlen_self_Tensor(SEXP selfSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__nested_get_min_seqlen_self_Tensor(self));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__nested_get_max_seqlen_self_Tensor
+XPtrTorchTensor cpp_torch_namespace__nested_get_max_seqlen_self_Tensor(XPtrTorchTensor self);
+RcppExport SEXP _torch_cpp_torch_namespace__nested_get_max_seqlen_self_Tensor(SEXP selfSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__nested_get_max_seqlen_self_Tensor(self));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__nested_get_jagged_dummy_any_Tensor
+XPtrTorchTensor cpp_torch_namespace__nested_get_jagged_dummy_any_Tensor(XPtrTorchTensor any);
+RcppExport SEXP _torch_cpp_torch_namespace__nested_get_jagged_dummy_any_Tensor(SEXP anySEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type any(anySEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__nested_get_jagged_dummy_any_Tensor(any));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__nested_compute_contiguous_strides_offsets_nested_size_Tensor
+Rcpp::List cpp_torch_namespace__nested_compute_contiguous_strides_offsets_nested_size_Tensor(XPtrTorchTensor nested_size);
+RcppExport SEXP _torch_cpp_torch_namespace__nested_compute_contiguous_strides_offsets_nested_size_Tensor(SEXP nested_sizeSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type nested_size(nested_sizeSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__nested_compute_contiguous_strides_offsets_nested_size_Tensor(nested_size));
     return rcpp_result_gen;
 END_RCPP
 }
@@ -21587,6 +22547,78 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_namespace__batch_norm_with_update_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double
+Rcpp::List cpp_torch_namespace__batch_norm_with_update_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double(XPtrTorchTensor input, XPtrTorchOptionalTensor weight, XPtrTorchOptionalTensor bias, XPtrTorchTensor running_mean, XPtrTorchTensor running_var, XPtrTorchdouble momentum, XPtrTorchdouble eps);
+RcppExport SEXP _torch_cpp_torch_namespace__batch_norm_with_update_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double(SEXP inputSEXP, SEXP weightSEXP, SEXP biasSEXP, SEXP running_meanSEXP, SEXP running_varSEXP, SEXP momentumSEXP, SEXP epsSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type input(inputSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type weight(weightSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type bias(biasSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type running_mean(running_meanSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type running_var(running_varSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type momentum(momentumSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type eps(epsSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__batch_norm_with_update_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double(input, weight, bias, running_mean, running_var, momentum, eps));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__batch_norm_with_update_out_out_Tensor_save_mean_Tensor_save_invstd_Tensor_reserve_Tensor_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double
+Rcpp::List cpp_torch_namespace__batch_norm_with_update_out_out_Tensor_save_mean_Tensor_save_invstd_Tensor_reserve_Tensor_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double(XPtrTorchTensor out, XPtrTorchTensor save_mean, XPtrTorchTensor save_invstd, XPtrTorchTensor reserve, XPtrTorchTensor input, XPtrTorchOptionalTensor weight, XPtrTorchOptionalTensor bias, XPtrTorchTensor running_mean, XPtrTorchTensor running_var, XPtrTorchdouble momentum, XPtrTorchdouble eps);
+RcppExport SEXP _torch_cpp_torch_namespace__batch_norm_with_update_out_out_Tensor_save_mean_Tensor_save_invstd_Tensor_reserve_Tensor_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double(SEXP outSEXP, SEXP save_meanSEXP, SEXP save_invstdSEXP, SEXP reserveSEXP, SEXP inputSEXP, SEXP weightSEXP, SEXP biasSEXP, SEXP running_meanSEXP, SEXP running_varSEXP, SEXP momentumSEXP, SEXP epsSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type save_mean(save_meanSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type save_invstd(save_invstdSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type reserve(reserveSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type input(inputSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type weight(weightSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type bias(biasSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type running_mean(running_meanSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type running_var(running_varSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type momentum(momentumSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type eps(epsSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__batch_norm_with_update_out_out_Tensor_save_mean_Tensor_save_invstd_Tensor_reserve_Tensor_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double(out, save_mean, save_invstd, reserve, input, weight, bias, running_mean, running_var, momentum, eps));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__batch_norm_no_update_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double
+Rcpp::List cpp_torch_namespace__batch_norm_no_update_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double(XPtrTorchTensor input, XPtrTorchOptionalTensor weight, XPtrTorchOptionalTensor bias, XPtrTorchOptionalTensor running_mean, XPtrTorchOptionalTensor running_var, XPtrTorchdouble momentum, XPtrTorchdouble eps);
+RcppExport SEXP _torch_cpp_torch_namespace__batch_norm_no_update_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double(SEXP inputSEXP, SEXP weightSEXP, SEXP biasSEXP, SEXP running_meanSEXP, SEXP running_varSEXP, SEXP momentumSEXP, SEXP epsSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type input(inputSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type weight(weightSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type bias(biasSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type running_mean(running_meanSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type running_var(running_varSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type momentum(momentumSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type eps(epsSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__batch_norm_no_update_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double(input, weight, bias, running_mean, running_var, momentum, eps));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace_batch_norm_backward_grad_out_Tensor_input_Tensor_weight_Tensor_running_mean_Tensor_running_var_Tensor_save_mean_Tensor_save_var_Tensor_update_bool_eps_double_output_mask_stdarraybool3_reserve_Tensor
+Rcpp::List cpp_torch_namespace_batch_norm_backward_grad_out_Tensor_input_Tensor_weight_Tensor_running_mean_Tensor_running_var_Tensor_save_mean_Tensor_save_var_Tensor_update_bool_eps_double_output_mask_stdarraybool3_reserve_Tensor(XPtrTorchTensor grad_out, XPtrTorchTensor input, XPtrTorchTensor weight, XPtrTorchOptionalTensor running_mean, XPtrTorchOptionalTensor running_var, XPtrTorchOptionalTensor save_mean, XPtrTorchOptionalTensor save_var, XPtrTorchbool update, XPtrTorchdouble eps, std::vector<bool> output_mask, XPtrTorchTensor reserve);
+RcppExport SEXP _torch_cpp_torch_namespace_batch_norm_backward_grad_out_Tensor_input_Tensor_weight_Tensor_running_mean_Tensor_running_var_Tensor_save_mean_Tensor_save_var_Tensor_update_bool_eps_double_output_mask_stdarraybool3_reserve_Tensor(SEXP grad_outSEXP, SEXP inputSEXP, SEXP weightSEXP, SEXP running_meanSEXP, SEXP running_varSEXP, SEXP save_meanSEXP, SEXP save_varSEXP, SEXP updateSEXP, SEXP epsSEXP, SEXP output_maskSEXP, SEXP reserveSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type grad_out(grad_outSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type input(inputSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type weight(weightSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type running_mean(running_meanSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type running_var(running_varSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type save_mean(save_meanSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type save_var(save_varSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type update(updateSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type eps(epsSEXP);
+    Rcpp::traits::input_parameter< std::vector<bool> >::type output_mask(output_maskSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type reserve(reserveSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_batch_norm_backward_grad_out_Tensor_input_Tensor_weight_Tensor_running_mean_Tensor_running_var_Tensor_save_mean_Tensor_save_var_Tensor_update_bool_eps_double_output_mask_stdarraybool3_reserve_Tensor(grad_out, input, weight, running_mean, running_var, save_mean, save_var, update, eps, output_mask, reserve));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_namespace__sparse_sum_self_Tensor
 XPtrTorchTensor cpp_torch_namespace__sparse_sum_self_Tensor(XPtrTorchTensor self);
 RcppExport SEXP _torch_cpp_torch_namespace__sparse_sum_self_Tensor(SEXP selfSEXP) {
@@ -22315,6 +23347,56 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_namespace__scaled_mm_self_Tensor_mat2_Tensor_scale_a_Tensor_scale_b_Tensor
+XPtrTorchTensor cpp_torch_namespace__scaled_mm_self_Tensor_mat2_Tensor_scale_a_Tensor_scale_b_Tensor(XPtrTorchTensor self, XPtrTorchTensor mat2, XPtrTorchTensor scale_a, XPtrTorchTensor scale_b, XPtrTorchOptionalTensor bias, XPtrTorchOptionalTensor scale_result, XPtrTorchoptional_scalar_type out_dtype, XPtrTorchbool use_fast_accum);
+RcppExport SEXP _torch_cpp_torch_namespace__scaled_mm_self_Tensor_mat2_Tensor_scale_a_Tensor_scale_b_Tensor(SEXP selfSEXP, SEXP mat2SEXP, SEXP scale_aSEXP, SEXP scale_bSEXP, SEXP biasSEXP, SEXP scale_resultSEXP, SEXP out_dtypeSEXP, SEXP use_fast_accumSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type mat2(mat2SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type scale_a(scale_aSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type scale_b(scale_bSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type bias(biasSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type scale_result(scale_resultSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchoptional_scalar_type >::type out_dtype(out_dtypeSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type use_fast_accum(use_fast_accumSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__scaled_mm_self_Tensor_mat2_Tensor_scale_a_Tensor_scale_b_Tensor(self, mat2, scale_a, scale_b, bias, scale_result, out_dtype, use_fast_accum));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__scaled_mm_out_out_Tensor_self_Tensor_mat2_Tensor_scale_a_Tensor_scale_b_Tensor
+XPtrTorchTensor cpp_torch_namespace__scaled_mm_out_out_Tensor_self_Tensor_mat2_Tensor_scale_a_Tensor_scale_b_Tensor(XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchTensor mat2, XPtrTorchTensor scale_a, XPtrTorchTensor scale_b, XPtrTorchOptionalTensor bias, XPtrTorchOptionalTensor scale_result, XPtrTorchoptional_scalar_type out_dtype, XPtrTorchbool use_fast_accum);
+RcppExport SEXP _torch_cpp_torch_namespace__scaled_mm_out_out_Tensor_self_Tensor_mat2_Tensor_scale_a_Tensor_scale_b_Tensor(SEXP outSEXP, SEXP selfSEXP, SEXP mat2SEXP, SEXP scale_aSEXP, SEXP scale_bSEXP, SEXP biasSEXP, SEXP scale_resultSEXP, SEXP out_dtypeSEXP, SEXP use_fast_accumSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type mat2(mat2SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type scale_a(scale_aSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type scale_b(scale_bSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type bias(biasSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type scale_result(scale_resultSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchoptional_scalar_type >::type out_dtype(out_dtypeSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type use_fast_accum(use_fast_accumSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__scaled_mm_out_out_Tensor_self_Tensor_mat2_Tensor_scale_a_Tensor_scale_b_Tensor(out, self, mat2, scale_a, scale_b, bias, scale_result, out_dtype, use_fast_accum));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__sparse_compressed_tensor_with_dims_nnz_int64_t_dense_dim_int64_t_size_IntArrayRef_blocksize_IntArrayRef_index_dtype_ScalarType_options_TensorOptions
+XPtrTorchTensor cpp_torch_namespace__sparse_compressed_tensor_with_dims_nnz_int64_t_dense_dim_int64_t_size_IntArrayRef_blocksize_IntArrayRef_index_dtype_ScalarType_options_TensorOptions(XPtrTorchint64_t nnz, XPtrTorchint64_t dense_dim, XPtrTorchIntArrayRef size, XPtrTorchIntArrayRef blocksize, XPtrTorchDtype index_dtype, XPtrTorchTensorOptions options);
+RcppExport SEXP _torch_cpp_torch_namespace__sparse_compressed_tensor_with_dims_nnz_int64_t_dense_dim_int64_t_size_IntArrayRef_blocksize_IntArrayRef_index_dtype_ScalarType_options_TensorOptions(SEXP nnzSEXP, SEXP dense_dimSEXP, SEXP sizeSEXP, SEXP blocksizeSEXP, SEXP index_dtypeSEXP, SEXP optionsSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type nnz(nnzSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type dense_dim(dense_dimSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchIntArrayRef >::type size(sizeSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchIntArrayRef >::type blocksize(blocksizeSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchDtype >::type index_dtype(index_dtypeSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorOptions >::type options(optionsSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__sparse_compressed_tensor_with_dims_nnz_int64_t_dense_dim_int64_t_size_IntArrayRef_blocksize_IntArrayRef_index_dtype_ScalarType_options_TensorOptions(nnz, dense_dim, size, blocksize, index_dtype, options));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_namespace_sparse_compressed_tensor_compressed_indices_Tensor_plain_indices_Tensor_values_Tensor_size_IntArrayRef_options_TensorOptions
 XPtrTorchTensor cpp_torch_namespace_sparse_compressed_tensor_compressed_indices_Tensor_plain_indices_Tensor_values_Tensor_size_IntArrayRef_options_TensorOptions(XPtrTorchTensor compressed_indices, XPtrTorchTensor plain_indices, XPtrTorchTensor values, XPtrTorchIntArrayRef size, XPtrTorchTensorOptions options);
 RcppExport SEXP _torch_cpp_torch_namespace_sparse_compressed_tensor_compressed_indices_Tensor_plain_indices_Tensor_values_Tensor_size_IntArrayRef_options_TensorOptions(SEXP compressed_indicesSEXP, SEXP plain_indicesSEXP, SEXP valuesSEXP, SEXP sizeSEXP, SEXP optionsSEXP) {
@@ -22532,51 +23614,55 @@ BEGIN_RCPP
 END_RCPP
 }
 // cpp_torch_namespace_sparse_coo_tensor_indices_Tensor_values_Tensor_options_TensorOptions
-XPtrTorchTensor cpp_torch_namespace_sparse_coo_tensor_indices_Tensor_values_Tensor_options_TensorOptions(XPtrTorchIndexTensor indices, XPtrTorchTensor values, XPtrTorchTensorOptions options);
-RcppExport SEXP _torch_cpp_torch_namespace_sparse_coo_tensor_indices_Tensor_values_Tensor_options_TensorOptions(SEXP indicesSEXP, SEXP valuesSEXP, SEXP optionsSEXP) {
+XPtrTorchTensor cpp_torch_namespace_sparse_coo_tensor_indices_Tensor_values_Tensor_options_TensorOptions(XPtrTorchIndexTensor indices, XPtrTorchTensor values, XPtrTorchTensorOptions options, XPtrTorchoptional_bool is_coalesced);
+RcppExport SEXP _torch_cpp_torch_namespace_sparse_coo_tensor_indices_Tensor_values_Tensor_options_TensorOptions(SEXP indicesSEXP, SEXP valuesSEXP, SEXP optionsSEXP, SEXP is_coalescedSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchIndexTensor >::type indices(indicesSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type values(valuesSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorOptions >::type options(optionsSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_sparse_coo_tensor_indices_Tensor_values_Tensor_options_TensorOptions(indices, values, options));
+    Rcpp::traits::input_parameter< XPtrTorchoptional_bool >::type is_coalesced(is_coalescedSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_sparse_coo_tensor_indices_Tensor_values_Tensor_options_TensorOptions(indices, values, options, is_coalesced));
     return rcpp_result_gen;
 END_RCPP
 }
 // cpp_torch_namespace_sparse_coo_tensor_indices_Tensor_values_Tensor_size_IntArrayRef_options_TensorOptions
-XPtrTorchTensor cpp_torch_namespace_sparse_coo_tensor_indices_Tensor_values_Tensor_size_IntArrayRef_options_TensorOptions(XPtrTorchIndexTensor indices, XPtrTorchTensor values, XPtrTorchIntArrayRef size, XPtrTorchTensorOptions options);
-RcppExport SEXP _torch_cpp_torch_namespace_sparse_coo_tensor_indices_Tensor_values_Tensor_size_IntArrayRef_options_TensorOptions(SEXP indicesSEXP, SEXP valuesSEXP, SEXP sizeSEXP, SEXP optionsSEXP) {
+XPtrTorchTensor cpp_torch_namespace_sparse_coo_tensor_indices_Tensor_values_Tensor_size_IntArrayRef_options_TensorOptions(XPtrTorchIndexTensor indices, XPtrTorchTensor values, XPtrTorchIntArrayRef size, XPtrTorchTensorOptions options, XPtrTorchoptional_bool is_coalesced);
+RcppExport SEXP _torch_cpp_torch_namespace_sparse_coo_tensor_indices_Tensor_values_Tensor_size_IntArrayRef_options_TensorOptions(SEXP indicesSEXP, SEXP valuesSEXP, SEXP sizeSEXP, SEXP optionsSEXP, SEXP is_coalescedSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchIndexTensor >::type indices(indicesSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type values(valuesSEXP);
     Rcpp::traits::input_parameter< XPtrTorchIntArrayRef >::type size(sizeSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorOptions >::type options(optionsSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_sparse_coo_tensor_indices_Tensor_values_Tensor_size_IntArrayRef_options_TensorOptions(indices, values, size, options));
+    Rcpp::traits::input_parameter< XPtrTorchoptional_bool >::type is_coalesced(is_coalescedSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_sparse_coo_tensor_indices_Tensor_values_Tensor_size_IntArrayRef_options_TensorOptions(indices, values, size, options, is_coalesced));
     return rcpp_result_gen;
 END_RCPP
 }
 // cpp_torch_namespace__sparse_coo_tensor_unsafe_indices_Tensor_values_Tensor_size_IntArrayRef
-XPtrTorchTensor cpp_torch_namespace__sparse_coo_tensor_unsafe_indices_Tensor_values_Tensor_size_IntArrayRef(XPtrTorchIndexTensor indices, XPtrTorchTensor values, XPtrTorchIntArrayRef size, XPtrTorchTensorOptions options);
-RcppExport SEXP _torch_cpp_torch_namespace__sparse_coo_tensor_unsafe_indices_Tensor_values_Tensor_size_IntArrayRef(SEXP indicesSEXP, SEXP valuesSEXP, SEXP sizeSEXP, SEXP optionsSEXP) {
+XPtrTorchTensor cpp_torch_namespace__sparse_coo_tensor_unsafe_indices_Tensor_values_Tensor_size_IntArrayRef(XPtrTorchIndexTensor indices, XPtrTorchTensor values, XPtrTorchIntArrayRef size, XPtrTorchTensorOptions options, XPtrTorchoptional_bool is_coalesced);
+RcppExport SEXP _torch_cpp_torch_namespace__sparse_coo_tensor_unsafe_indices_Tensor_values_Tensor_size_IntArrayRef(SEXP indicesSEXP, SEXP valuesSEXP, SEXP sizeSEXP, SEXP optionsSEXP, SEXP is_coalescedSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchIndexTensor >::type indices(indicesSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type values(valuesSEXP);
     Rcpp::traits::input_parameter< XPtrTorchIntArrayRef >::type size(sizeSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorOptions >::type options(optionsSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__sparse_coo_tensor_unsafe_indices_Tensor_values_Tensor_size_IntArrayRef(indices, values, size, options));
+    Rcpp::traits::input_parameter< XPtrTorchoptional_bool >::type is_coalesced(is_coalescedSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__sparse_coo_tensor_unsafe_indices_Tensor_values_Tensor_size_IntArrayRef(indices, values, size, options, is_coalesced));
     return rcpp_result_gen;
 END_RCPP
 }
 // cpp_torch_namespace__validate_sparse_coo_tensor_args_indices_Tensor_values_Tensor_size_IntArrayRef
-void cpp_torch_namespace__validate_sparse_coo_tensor_args_indices_Tensor_values_Tensor_size_IntArrayRef(XPtrTorchIndexTensor indices, XPtrTorchTensor values, XPtrTorchIntArrayRef size);
-RcppExport SEXP _torch_cpp_torch_namespace__validate_sparse_coo_tensor_args_indices_Tensor_values_Tensor_size_IntArrayRef(SEXP indicesSEXP, SEXP valuesSEXP, SEXP sizeSEXP) {
+void cpp_torch_namespace__validate_sparse_coo_tensor_args_indices_Tensor_values_Tensor_size_IntArrayRef(XPtrTorchIndexTensor indices, XPtrTorchTensor values, XPtrTorchIntArrayRef size, XPtrTorchoptional_bool is_coalesced);
+RcppExport SEXP _torch_cpp_torch_namespace__validate_sparse_coo_tensor_args_indices_Tensor_values_Tensor_size_IntArrayRef(SEXP indicesSEXP, SEXP valuesSEXP, SEXP sizeSEXP, SEXP is_coalescedSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchIndexTensor >::type indices(indicesSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type values(valuesSEXP);
     Rcpp::traits::input_parameter< XPtrTorchIntArrayRef >::type size(sizeSEXP);
-    cpp_torch_namespace__validate_sparse_coo_tensor_args_indices_Tensor_values_Tensor_size_IntArrayRef(indices, values, size);
+    Rcpp::traits::input_parameter< XPtrTorchoptional_bool >::type is_coalesced(is_coalescedSEXP);
+    cpp_torch_namespace__validate_sparse_coo_tensor_args_indices_Tensor_values_Tensor_size_IntArrayRef(indices, values, size, is_coalesced);
     return R_NilValue;
 END_RCPP
 }
@@ -22655,8 +23741,8 @@ BEGIN_RCPP
 END_RCPP
 }
 // cpp_torch_namespace__sparse_coo_tensor_with_dims_and_tensors_sparse_dim_int64_t_dense_dim_int64_t_size_IntArrayRef_indices_Tensor_values_Tensor_options_TensorOptions
-XPtrTorchTensor cpp_torch_namespace__sparse_coo_tensor_with_dims_and_tensors_sparse_dim_int64_t_dense_dim_int64_t_size_IntArrayRef_indices_Tensor_values_Tensor_options_TensorOptions(XPtrTorchint64_t sparse_dim, XPtrTorchint64_t dense_dim, XPtrTorchIntArrayRef size, XPtrTorchIndexTensor indices, XPtrTorchTensor values, XPtrTorchTensorOptions options);
-RcppExport SEXP _torch_cpp_torch_namespace__sparse_coo_tensor_with_dims_and_tensors_sparse_dim_int64_t_dense_dim_int64_t_size_IntArrayRef_indices_Tensor_values_Tensor_options_TensorOptions(SEXP sparse_dimSEXP, SEXP dense_dimSEXP, SEXP sizeSEXP, SEXP indicesSEXP, SEXP valuesSEXP, SEXP optionsSEXP) {
+XPtrTorchTensor cpp_torch_namespace__sparse_coo_tensor_with_dims_and_tensors_sparse_dim_int64_t_dense_dim_int64_t_size_IntArrayRef_indices_Tensor_values_Tensor_options_TensorOptions(XPtrTorchint64_t sparse_dim, XPtrTorchint64_t dense_dim, XPtrTorchIntArrayRef size, XPtrTorchIndexTensor indices, XPtrTorchTensor values, XPtrTorchTensorOptions options, XPtrTorchoptional_bool is_coalesced);
+RcppExport SEXP _torch_cpp_torch_namespace__sparse_coo_tensor_with_dims_and_tensors_sparse_dim_int64_t_dense_dim_int64_t_size_IntArrayRef_indices_Tensor_values_Tensor_options_TensorOptions(SEXP sparse_dimSEXP, SEXP dense_dimSEXP, SEXP sizeSEXP, SEXP indicesSEXP, SEXP valuesSEXP, SEXP optionsSEXP, SEXP is_coalescedSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchint64_t >::type sparse_dim(sparse_dimSEXP);
@@ -22665,7 +23751,8 @@ BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchIndexTensor >::type indices(indicesSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type values(valuesSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorOptions >::type options(optionsSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__sparse_coo_tensor_with_dims_and_tensors_sparse_dim_int64_t_dense_dim_int64_t_size_IntArrayRef_indices_Tensor_values_Tensor_options_TensorOptions(sparse_dim, dense_dim, size, indices, values, options));
+    Rcpp::traits::input_parameter< XPtrTorchoptional_bool >::type is_coalesced(is_coalescedSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__sparse_coo_tensor_with_dims_and_tensors_sparse_dim_int64_t_dense_dim_int64_t_size_IntArrayRef_indices_Tensor_values_Tensor_options_TensorOptions(sparse_dim, dense_dim, size, indices, values, options, is_coalesced));
     return rcpp_result_gen;
 END_RCPP
 }
@@ -22680,13 +23767,14 @@ BEGIN_RCPP
 END_RCPP
 }
 // cpp_torch_namespace_to_dense_backward_grad_Tensor_input_Tensor
-XPtrTorchTensor cpp_torch_namespace_to_dense_backward_grad_Tensor_input_Tensor(XPtrTorchTensor grad, XPtrTorchTensor input);
-RcppExport SEXP _torch_cpp_torch_namespace_to_dense_backward_grad_Tensor_input_Tensor(SEXP gradSEXP, SEXP inputSEXP) {
+XPtrTorchTensor cpp_torch_namespace_to_dense_backward_grad_Tensor_input_Tensor(XPtrTorchTensor grad, XPtrTorchTensor input, XPtrTorchoptional_bool masked_grad);
+RcppExport SEXP _torch_cpp_torch_namespace_to_dense_backward_grad_Tensor_input_Tensor(SEXP gradSEXP, SEXP inputSEXP, SEXP masked_gradSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type grad(gradSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type input(inputSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_to_dense_backward_grad_Tensor_input_Tensor(grad, input));
+    Rcpp::traits::input_parameter< XPtrTorchoptional_bool >::type masked_grad(masked_gradSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_to_dense_backward_grad_Tensor_input_Tensor(grad, input, masked_grad));
     return rcpp_result_gen;
 END_RCPP
 }
@@ -22757,6 +23845,16 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_namespace__to_sparse_semi_structured_dense_Tensor
+Rcpp::List cpp_torch_namespace__to_sparse_semi_structured_dense_Tensor(XPtrTorchTensor dense);
+RcppExport SEXP _torch_cpp_torch_namespace__to_sparse_semi_structured_dense_Tensor(SEXP denseSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type dense(denseSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__to_sparse_semi_structured_dense_Tensor(dense));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_namespace_mkldnn_reorder_conv2d_weight_self_Tensor
 XPtrTorchTensor cpp_torch_namespace_mkldnn_reorder_conv2d_weight_self_Tensor(XPtrTorchTensor self, XPtrTorchIntArrayRef padding, XPtrTorchIntArrayRef stride, XPtrTorchIntArrayRef dilation, XPtrTorchint64_t groups, XPtrTorchOptionalIntArrayRef input_size);
 RcppExport SEXP _torch_cpp_torch_namespace_mkldnn_reorder_conv2d_weight_self_Tensor(SEXP selfSEXP, SEXP paddingSEXP, SEXP strideSEXP, SEXP dilationSEXP, SEXP groupsSEXP, SEXP input_sizeSEXP) {
@@ -22773,8 +23871,8 @@ BEGIN_RCPP
 END_RCPP
 }
 // cpp_torch_namespace_mkldnn_reorder_conv3d_weight_self_Tensor
-XPtrTorchTensor cpp_torch_namespace_mkldnn_reorder_conv3d_weight_self_Tensor(XPtrTorchTensor self, XPtrTorchIntArrayRef padding, XPtrTorchIntArrayRef stride, XPtrTorchIntArrayRef dilation, XPtrTorchint64_t groups);
-RcppExport SEXP _torch_cpp_torch_namespace_mkldnn_reorder_conv3d_weight_self_Tensor(SEXP selfSEXP, SEXP paddingSEXP, SEXP strideSEXP, SEXP dilationSEXP, SEXP groupsSEXP) {
+XPtrTorchTensor cpp_torch_namespace_mkldnn_reorder_conv3d_weight_self_Tensor(XPtrTorchTensor self, XPtrTorchIntArrayRef padding, XPtrTorchIntArrayRef stride, XPtrTorchIntArrayRef dilation, XPtrTorchint64_t groups, XPtrTorchOptionalIntArrayRef input_size);
+RcppExport SEXP _torch_cpp_torch_namespace_mkldnn_reorder_conv3d_weight_self_Tensor(SEXP selfSEXP, SEXP paddingSEXP, SEXP strideSEXP, SEXP dilationSEXP, SEXP groupsSEXP, SEXP input_sizeSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
@@ -22782,7 +23880,8 @@ BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchIntArrayRef >::type stride(strideSEXP);
     Rcpp::traits::input_parameter< XPtrTorchIntArrayRef >::type dilation(dilationSEXP);
     Rcpp::traits::input_parameter< XPtrTorchint64_t >::type groups(groupsSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_mkldnn_reorder_conv3d_weight_self_Tensor(self, padding, stride, dilation, groups));
+    Rcpp::traits::input_parameter< XPtrTorchOptionalIntArrayRef >::type input_size(input_sizeSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_mkldnn_reorder_conv3d_weight_self_Tensor(self, padding, stride, dilation, groups, input_size));
     return rcpp_result_gen;
 END_RCPP
 }
@@ -23319,14 +24418,14 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace_can_cast_from_ScalarType_to_ScalarType
-XPtrTorchbool cpp_torch_namespace_can_cast_from_ScalarType_to_ScalarType(XPtrTorchDtype from, XPtrTorchDtype to);
-RcppExport SEXP _torch_cpp_torch_namespace_can_cast_from_ScalarType_to_ScalarType(SEXP fromSEXP, SEXP toSEXP) {
+// cpp_torch_namespace_can_cast_from__ScalarType_to_ScalarType
+XPtrTorchbool cpp_torch_namespace_can_cast_from__ScalarType_to_ScalarType(XPtrTorchDtype from_, XPtrTorchDtype to);
+RcppExport SEXP _torch_cpp_torch_namespace_can_cast_from__ScalarType_to_ScalarType(SEXP from_SEXP, SEXP toSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
-    Rcpp::traits::input_parameter< XPtrTorchDtype >::type from(fromSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchDtype >::type from_(from_SEXP);
     Rcpp::traits::input_parameter< XPtrTorchDtype >::type to(toSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_can_cast_from_ScalarType_to_ScalarType(from, to));
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_can_cast_from__ScalarType_to_ScalarType(from_, to));
     return rcpp_result_gen;
 END_RCPP
 }
@@ -23370,11 +24469,11 @@ BEGIN_RCPP
 END_RCPP
 }
 // cpp_torch_namespace_lstm_mps_backward_grad_y_Tensor_grad_hy_Tensor_grad_cy_Tensor_z_state_Tensor_cell_state_fwd_Tensor_input_Tensor_layersOutputs_Tensor_hx_TensorList_params_TensorList_has_biases_bool_num_layers_int64_t_dropout_double_train_bool_bidirectional_bool_batch_first_bool
-Rcpp::List cpp_torch_namespace_lstm_mps_backward_grad_y_Tensor_grad_hy_Tensor_grad_cy_Tensor_z_state_Tensor_cell_state_fwd_Tensor_input_Tensor_layersOutputs_Tensor_hx_TensorList_params_TensorList_has_biases_bool_num_layers_int64_t_dropout_double_train_bool_bidirectional_bool_batch_first_bool(XPtrTorchTensor grad_y, XPtrTorchOptionalTensor grad_hy, XPtrTorchOptionalTensor grad_cy, XPtrTorchTensor z_state, XPtrTorchTensor cell_state_fwd, XPtrTorchTensor input, XPtrTorchTensor layersOutputs, XPtrTorchTensorList hx, XPtrTorchTensorList params, XPtrTorchbool has_biases, XPtrTorchint64_t num_layers, XPtrTorchdouble dropout, XPtrTorchbool train, XPtrTorchbool bidirectional, XPtrTorchbool batch_first);
+Rcpp::List cpp_torch_namespace_lstm_mps_backward_grad_y_Tensor_grad_hy_Tensor_grad_cy_Tensor_z_state_Tensor_cell_state_fwd_Tensor_input_Tensor_layersOutputs_Tensor_hx_TensorList_params_TensorList_has_biases_bool_num_layers_int64_t_dropout_double_train_bool_bidirectional_bool_batch_first_bool(XPtrTorchOptionalTensor grad_y, XPtrTorchOptionalTensor grad_hy, XPtrTorchOptionalTensor grad_cy, XPtrTorchTensor z_state, XPtrTorchTensor cell_state_fwd, XPtrTorchTensor input, XPtrTorchTensor layersOutputs, XPtrTorchTensorList hx, XPtrTorchTensorList params, XPtrTorchbool has_biases, XPtrTorchint64_t num_layers, XPtrTorchdouble dropout, XPtrTorchbool train, XPtrTorchbool bidirectional, XPtrTorchbool batch_first);
 RcppExport SEXP _torch_cpp_torch_namespace_lstm_mps_backward_grad_y_Tensor_grad_hy_Tensor_grad_cy_Tensor_z_state_Tensor_cell_state_fwd_Tensor_input_Tensor_layersOutputs_Tensor_hx_TensorList_params_TensorList_has_biases_bool_num_layers_int64_t_dropout_double_train_bool_bidirectional_bool_batch_first_bool(SEXP grad_ySEXP, SEXP grad_hySEXP, SEXP grad_cySEXP, SEXP z_stateSEXP, SEXP cell_state_fwdSEXP, SEXP inputSEXP, SEXP layersOutputsSEXP, SEXP hxSEXP, SEXP paramsSEXP, SEXP has_biasesSEXP, SEXP num_layersSEXP, SEXP dropoutSEXP, SEXP trainSEXP, SEXP bidirectionalSEXP, SEXP batch_firstSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type grad_y(grad_ySEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type grad_y(grad_ySEXP);
     Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type grad_hy(grad_hySEXP);
     Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type grad_cy(grad_cySEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type z_state(z_stateSEXP);
@@ -23896,6 +24995,18 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_namespace_masked_scatter_backward_grad_output_Tensor_mask_Tensor_sizes_IntArrayRef
+XPtrTorchTensor cpp_torch_namespace_masked_scatter_backward_grad_output_Tensor_mask_Tensor_sizes_IntArrayRef(XPtrTorchTensor grad_output, XPtrTorchTensor mask, XPtrTorchIntArrayRef sizes);
+RcppExport SEXP _torch_cpp_torch_namespace_masked_scatter_backward_grad_output_Tensor_mask_Tensor_sizes_IntArrayRef(SEXP grad_outputSEXP, SEXP maskSEXP, SEXP sizesSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type grad_output(grad_outputSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type mask(maskSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchIntArrayRef >::type sizes(sizesSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_masked_scatter_backward_grad_output_Tensor_mask_Tensor_sizes_IntArrayRef(grad_output, mask, sizes));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_namespace__masked_softmax_self_Tensor_mask_Tensor
 XPtrTorchTensor cpp_torch_namespace__masked_softmax_self_Tensor_mask_Tensor(XPtrTorchTensor self, XPtrTorchTensor mask, XPtrTorchoptional_index_int64_t dim, XPtrTorchoptional_int64_t mask_type);
 RcppExport SEXP _torch_cpp_torch_namespace__masked_softmax_self_Tensor_mask_Tensor(SEXP selfSEXP, SEXP maskSEXP, SEXP dimSEXP, SEXP mask_typeSEXP) {
@@ -25508,6 +26619,31 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_namespace_nonzero_static_out_out_Tensor_self_Tensor_size_int64_t
+XPtrTorchTensor cpp_torch_namespace_nonzero_static_out_out_Tensor_self_Tensor_size_int64_t(XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchint64_t size, XPtrTorchint64_t fill_value);
+RcppExport SEXP _torch_cpp_torch_namespace_nonzero_static_out_out_Tensor_self_Tensor_size_int64_t(SEXP outSEXP, SEXP selfSEXP, SEXP sizeSEXP, SEXP fill_valueSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type size(sizeSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type fill_value(fill_valueSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_nonzero_static_out_out_Tensor_self_Tensor_size_int64_t(out, self, size, fill_value));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace_nonzero_static_self_Tensor_size_int64_t
+XPtrTorchTensor cpp_torch_namespace_nonzero_static_self_Tensor_size_int64_t(XPtrTorchTensor self, XPtrTorchint64_t size, XPtrTorchint64_t fill_value);
+RcppExport SEXP _torch_cpp_torch_namespace_nonzero_static_self_Tensor_size_int64_t(SEXP selfSEXP, SEXP sizeSEXP, SEXP fill_valueSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type size(sizeSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type fill_value(fill_valueSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_nonzero_static_self_Tensor_size_int64_t(self, size, fill_value));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_namespace_nonzero_numpy_self_Tensor
 XPtrTorchTensorList cpp_torch_namespace_nonzero_numpy_self_Tensor(XPtrTorchTensor self);
 RcppExport SEXP _torch_cpp_torch_namespace_nonzero_numpy_self_Tensor(SEXP selfSEXP) {
@@ -26713,6 +27849,17 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_namespace_min_out_out_Tensor_self_Tensor
+XPtrTorchTensor cpp_torch_namespace_min_out_out_Tensor_self_Tensor(XPtrTorchTensor out, XPtrTorchTensor self);
+RcppExport SEXP _torch_cpp_torch_namespace_min_out_out_Tensor_self_Tensor(SEXP outSEXP, SEXP selfSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_min_out_out_Tensor_self_Tensor(out, self));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_namespace_fmin_self_Tensor_other_Tensor
 XPtrTorchTensor cpp_torch_namespace_fmin_self_Tensor_other_Tensor(XPtrTorchTensor self, XPtrTorchTensor other);
 RcppExport SEXP _torch_cpp_torch_namespace_fmin_self_Tensor_other_Tensor(SEXP selfSEXP, SEXP otherSEXP) {
@@ -27142,6 +28289,20 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_namespace_argsort_out_out_Tensor_self_Tensor_stable_bool
+XPtrTorchTensor cpp_torch_namespace_argsort_out_out_Tensor_self_Tensor_stable_bool(XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchbool stable, XPtrTorchindex_int64_t dim, XPtrTorchbool descending);
+RcppExport SEXP _torch_cpp_torch_namespace_argsort_out_out_Tensor_self_Tensor_stable_bool(SEXP outSEXP, SEXP selfSEXP, SEXP stableSEXP, SEXP dimSEXP, SEXP descendingSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type stable(stableSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchindex_int64_t >::type dim(dimSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type descending(descendingSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_argsort_out_out_Tensor_self_Tensor_stable_bool(out, self, stable, dim, descending));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_namespace_argsort_self_Tensor_dim_Dimname
 XPtrTorchTensor cpp_torch_namespace_argsort_self_Tensor_dim_Dimname(XPtrTorchTensor self, XPtrTorchDimname dim, XPtrTorchbool descending);
 RcppExport SEXP _torch_cpp_torch_namespace_argsort_self_Tensor_dim_Dimname(SEXP selfSEXP, SEXP dimSEXP, SEXP descendingSEXP) {
@@ -27539,153 +28700,6 @@ BEGIN_RCPP
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_sub_self_TensorList_scalar_Scalar
-XPtrTorchTensorList cpp_torch_namespace__foreach_sub_self_TensorList_scalar_Scalar(XPtrTorchTensorList self, XPtrTorchScalar scalar);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_sub_self_TensorList_scalar_Scalar(SEXP selfSEXP, SEXP scalarSEXP) {
-BEGIN_RCPP
-    Rcpp::RObject rcpp_result_gen;
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchScalar >::type scalar(scalarSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_sub_self_TensorList_scalar_Scalar(self, scalar));
-    return rcpp_result_gen;
-END_RCPP
-}
-// cpp_torch_namespace__foreach_sub__self_TensorList_scalar_Scalar
-void cpp_torch_namespace__foreach_sub__self_TensorList_scalar_Scalar(XPtrTorchTensorList self, XPtrTorchScalar scalar);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_sub__self_TensorList_scalar_Scalar(SEXP selfSEXP, SEXP scalarSEXP) {
-BEGIN_RCPP
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchScalar >::type scalar(scalarSEXP);
-    cpp_torch_namespace__foreach_sub__self_TensorList_scalar_Scalar(self, scalar);
-    return R_NilValue;
-END_RCPP
-}
-// cpp_torch_namespace__foreach_mul_self_TensorList_scalar_Scalar
-XPtrTorchTensorList cpp_torch_namespace__foreach_mul_self_TensorList_scalar_Scalar(XPtrTorchTensorList self, XPtrTorchScalar scalar);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_mul_self_TensorList_scalar_Scalar(SEXP selfSEXP, SEXP scalarSEXP) {
-BEGIN_RCPP
-    Rcpp::RObject rcpp_result_gen;
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchScalar >::type scalar(scalarSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_mul_self_TensorList_scalar_Scalar(self, scalar));
-    return rcpp_result_gen;
-END_RCPP
-}
-// cpp_torch_namespace__foreach_mul__self_TensorList_scalar_Scalar
-void cpp_torch_namespace__foreach_mul__self_TensorList_scalar_Scalar(XPtrTorchTensorList self, XPtrTorchScalar scalar);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_mul__self_TensorList_scalar_Scalar(SEXP selfSEXP, SEXP scalarSEXP) {
-BEGIN_RCPP
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchScalar >::type scalar(scalarSEXP);
-    cpp_torch_namespace__foreach_mul__self_TensorList_scalar_Scalar(self, scalar);
-    return R_NilValue;
-END_RCPP
-}
-// cpp_torch_namespace__foreach_div_self_TensorList_scalar_Scalar
-XPtrTorchTensorList cpp_torch_namespace__foreach_div_self_TensorList_scalar_Scalar(XPtrTorchTensorList self, XPtrTorchScalar scalar);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_div_self_TensorList_scalar_Scalar(SEXP selfSEXP, SEXP scalarSEXP) {
-BEGIN_RCPP
-    Rcpp::RObject rcpp_result_gen;
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchScalar >::type scalar(scalarSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_div_self_TensorList_scalar_Scalar(self, scalar));
-    return rcpp_result_gen;
-END_RCPP
-}
-// cpp_torch_namespace__foreach_div__self_TensorList_scalar_Scalar
-void cpp_torch_namespace__foreach_div__self_TensorList_scalar_Scalar(XPtrTorchTensorList self, XPtrTorchScalar scalar);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_div__self_TensorList_scalar_Scalar(SEXP selfSEXP, SEXP scalarSEXP) {
-BEGIN_RCPP
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchScalar >::type scalar(scalarSEXP);
-    cpp_torch_namespace__foreach_div__self_TensorList_scalar_Scalar(self, scalar);
-    return R_NilValue;
-END_RCPP
-}
-// cpp_torch_namespace__foreach_clamp_min_self_TensorList_scalar_Scalar
-XPtrTorchTensorList cpp_torch_namespace__foreach_clamp_min_self_TensorList_scalar_Scalar(XPtrTorchTensorList self, XPtrTorchScalar scalar);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_clamp_min_self_TensorList_scalar_Scalar(SEXP selfSEXP, SEXP scalarSEXP) {
-BEGIN_RCPP
-    Rcpp::RObject rcpp_result_gen;
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchScalar >::type scalar(scalarSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_clamp_min_self_TensorList_scalar_Scalar(self, scalar));
-    return rcpp_result_gen;
-END_RCPP
-}
-// cpp_torch_namespace__foreach_clamp_min__self_TensorList_scalar_Scalar
-void cpp_torch_namespace__foreach_clamp_min__self_TensorList_scalar_Scalar(XPtrTorchTensorList self, XPtrTorchScalar scalar);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_clamp_min__self_TensorList_scalar_Scalar(SEXP selfSEXP, SEXP scalarSEXP) {
-BEGIN_RCPP
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchScalar >::type scalar(scalarSEXP);
-    cpp_torch_namespace__foreach_clamp_min__self_TensorList_scalar_Scalar(self, scalar);
-    return R_NilValue;
-END_RCPP
-}
-// cpp_torch_namespace__foreach_clamp_max_self_TensorList_scalar_Scalar
-XPtrTorchTensorList cpp_torch_namespace__foreach_clamp_max_self_TensorList_scalar_Scalar(XPtrTorchTensorList self, XPtrTorchScalar scalar);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_clamp_max_self_TensorList_scalar_Scalar(SEXP selfSEXP, SEXP scalarSEXP) {
-BEGIN_RCPP
-    Rcpp::RObject rcpp_result_gen;
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchScalar >::type scalar(scalarSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_clamp_max_self_TensorList_scalar_Scalar(self, scalar));
-    return rcpp_result_gen;
-END_RCPP
-}
-// cpp_torch_namespace__foreach_clamp_max__self_TensorList_scalar_Scalar
-void cpp_torch_namespace__foreach_clamp_max__self_TensorList_scalar_Scalar(XPtrTorchTensorList self, XPtrTorchScalar scalar);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_clamp_max__self_TensorList_scalar_Scalar(SEXP selfSEXP, SEXP scalarSEXP) {
-BEGIN_RCPP
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchScalar >::type scalar(scalarSEXP);
-    cpp_torch_namespace__foreach_clamp_max__self_TensorList_scalar_Scalar(self, scalar);
-    return R_NilValue;
-END_RCPP
-}
-// cpp_torch_namespace__foreach_maximum_self_TensorList_scalar_Scalar
-XPtrTorchTensorList cpp_torch_namespace__foreach_maximum_self_TensorList_scalar_Scalar(XPtrTorchTensorList self, XPtrTorchScalar scalar);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_maximum_self_TensorList_scalar_Scalar(SEXP selfSEXP, SEXP scalarSEXP) {
-BEGIN_RCPP
-    Rcpp::RObject rcpp_result_gen;
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchScalar >::type scalar(scalarSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_maximum_self_TensorList_scalar_Scalar(self, scalar));
-    return rcpp_result_gen;
-END_RCPP
-}
-// cpp_torch_namespace__foreach_maximum__self_TensorList_scalar_Scalar
-void cpp_torch_namespace__foreach_maximum__self_TensorList_scalar_Scalar(XPtrTorchTensorList self, XPtrTorchScalar scalar);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_maximum__self_TensorList_scalar_Scalar(SEXP selfSEXP, SEXP scalarSEXP) {
-BEGIN_RCPP
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchScalar >::type scalar(scalarSEXP);
-    cpp_torch_namespace__foreach_maximum__self_TensorList_scalar_Scalar(self, scalar);
-    return R_NilValue;
-END_RCPP
-}
-// cpp_torch_namespace__foreach_minimum_self_TensorList_scalar_Scalar
-XPtrTorchTensorList cpp_torch_namespace__foreach_minimum_self_TensorList_scalar_Scalar(XPtrTorchTensorList self, XPtrTorchScalar scalar);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_minimum_self_TensorList_scalar_Scalar(SEXP selfSEXP, SEXP scalarSEXP) {
-BEGIN_RCPP
-    Rcpp::RObject rcpp_result_gen;
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchScalar >::type scalar(scalarSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_minimum_self_TensorList_scalar_Scalar(self, scalar));
-    return rcpp_result_gen;
-END_RCPP
-}
-// cpp_torch_namespace__foreach_minimum__self_TensorList_scalar_Scalar
-void cpp_torch_namespace__foreach_minimum__self_TensorList_scalar_Scalar(XPtrTorchTensorList self, XPtrTorchScalar scalar);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_minimum__self_TensorList_scalar_Scalar(SEXP selfSEXP, SEXP scalarSEXP) {
-BEGIN_RCPP
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchScalar >::type scalar(scalarSEXP);
-    cpp_torch_namespace__foreach_minimum__self_TensorList_scalar_Scalar(self, scalar);
-    return R_NilValue;
-END_RCPP
-}
 // cpp_torch_namespace__foreach_add_self_TensorList_other_TensorList
 XPtrTorchTensorList cpp_torch_namespace__foreach_add_self_TensorList_other_TensorList(XPtrTorchTensorList self, XPtrTorchTensorList other, XPtrTorchScalar alpha);
 RcppExport SEXP _torch_cpp_torch_namespace__foreach_add_self_TensorList_other_TensorList(SEXP selfSEXP, SEXP otherSEXP, SEXP alphaSEXP) {
@@ -27709,6 +28723,71 @@ BEGIN_RCPP
     return R_NilValue;
 END_RCPP
 }
+// cpp_torch_namespace__foreach_add_self_TensorList_scalars_ArrayRefScalar
+XPtrTorchTensorList cpp_torch_namespace__foreach_add_self_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_add_self_TensorList_scalars_ArrayRefScalar(SEXP selfSEXP, SEXP scalarsSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchvector_Scalar >::type scalars(scalarsSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_add_self_TensorList_scalars_ArrayRefScalar(self, scalars));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__foreach_add__self_TensorList_scalars_ArrayRefScalar
+void cpp_torch_namespace__foreach_add__self_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_add__self_TensorList_scalars_ArrayRefScalar(SEXP selfSEXP, SEXP scalarsSEXP) {
+BEGIN_RCPP
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchvector_Scalar >::type scalars(scalarsSEXP);
+    cpp_torch_namespace__foreach_add__self_TensorList_scalars_ArrayRefScalar(self, scalars);
+    return R_NilValue;
+END_RCPP
+}
+// cpp_torch_namespace__foreach_add_self_TensorList_other_Tensor
+XPtrTorchTensorList cpp_torch_namespace__foreach_add_self_TensorList_other_Tensor(XPtrTorchTensorList self, XPtrTorchTensor other, XPtrTorchScalar alpha);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_add_self_TensorList_other_Tensor(SEXP selfSEXP, SEXP otherSEXP, SEXP alphaSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type other(otherSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type alpha(alphaSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_add_self_TensorList_other_Tensor(self, other, alpha));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__foreach_add__self_TensorList_other_Tensor
+void cpp_torch_namespace__foreach_add__self_TensorList_other_Tensor(XPtrTorchTensorList self, XPtrTorchTensor other, XPtrTorchScalar alpha);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_add__self_TensorList_other_Tensor(SEXP selfSEXP, SEXP otherSEXP, SEXP alphaSEXP) {
+BEGIN_RCPP
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type other(otherSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type alpha(alphaSEXP);
+    cpp_torch_namespace__foreach_add__self_TensorList_other_Tensor(self, other, alpha);
+    return R_NilValue;
+END_RCPP
+}
+// cpp_torch_namespace__foreach_sub_self_TensorList_scalar_Scalar
+XPtrTorchTensorList cpp_torch_namespace__foreach_sub_self_TensorList_scalar_Scalar(XPtrTorchTensorList self, XPtrTorchScalar scalar);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_sub_self_TensorList_scalar_Scalar(SEXP selfSEXP, SEXP scalarSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type scalar(scalarSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_sub_self_TensorList_scalar_Scalar(self, scalar));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__foreach_sub__self_TensorList_scalar_Scalar
+void cpp_torch_namespace__foreach_sub__self_TensorList_scalar_Scalar(XPtrTorchTensorList self, XPtrTorchScalar scalar);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_sub__self_TensorList_scalar_Scalar(SEXP selfSEXP, SEXP scalarSEXP) {
+BEGIN_RCPP
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type scalar(scalarSEXP);
+    cpp_torch_namespace__foreach_sub__self_TensorList_scalar_Scalar(self, scalar);
+    return R_NilValue;
+END_RCPP
+}
 // cpp_torch_namespace__foreach_sub_self_TensorList_other_TensorList
 XPtrTorchTensorList cpp_torch_namespace__foreach_sub_self_TensorList_other_TensorList(XPtrTorchTensorList self, XPtrTorchTensorList other, XPtrTorchScalar alpha);
 RcppExport SEXP _torch_cpp_torch_namespace__foreach_sub_self_TensorList_other_TensorList(SEXP selfSEXP, SEXP otherSEXP, SEXP alphaSEXP) {
@@ -27732,6 +28811,48 @@ BEGIN_RCPP
     return R_NilValue;
 END_RCPP
 }
+// cpp_torch_namespace__foreach_sub_self_TensorList_scalars_ArrayRefScalar
+XPtrTorchTensorList cpp_torch_namespace__foreach_sub_self_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_sub_self_TensorList_scalars_ArrayRefScalar(SEXP selfSEXP, SEXP scalarsSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchvector_Scalar >::type scalars(scalarsSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_sub_self_TensorList_scalars_ArrayRefScalar(self, scalars));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__foreach_sub__self_TensorList_scalars_ArrayRefScalar
+void cpp_torch_namespace__foreach_sub__self_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_sub__self_TensorList_scalars_ArrayRefScalar(SEXP selfSEXP, SEXP scalarsSEXP) {
+BEGIN_RCPP
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchvector_Scalar >::type scalars(scalarsSEXP);
+    cpp_torch_namespace__foreach_sub__self_TensorList_scalars_ArrayRefScalar(self, scalars);
+    return R_NilValue;
+END_RCPP
+}
+// cpp_torch_namespace__foreach_mul_self_TensorList_scalar_Scalar
+XPtrTorchTensorList cpp_torch_namespace__foreach_mul_self_TensorList_scalar_Scalar(XPtrTorchTensorList self, XPtrTorchScalar scalar);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_mul_self_TensorList_scalar_Scalar(SEXP selfSEXP, SEXP scalarSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type scalar(scalarSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_mul_self_TensorList_scalar_Scalar(self, scalar));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__foreach_mul__self_TensorList_scalar_Scalar
+void cpp_torch_namespace__foreach_mul__self_TensorList_scalar_Scalar(XPtrTorchTensorList self, XPtrTorchScalar scalar);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_mul__self_TensorList_scalar_Scalar(SEXP selfSEXP, SEXP scalarSEXP) {
+BEGIN_RCPP
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type scalar(scalarSEXP);
+    cpp_torch_namespace__foreach_mul__self_TensorList_scalar_Scalar(self, scalar);
+    return R_NilValue;
+END_RCPP
+}
 // cpp_torch_namespace__foreach_mul_self_TensorList_other_TensorList
 XPtrTorchTensorList cpp_torch_namespace__foreach_mul_self_TensorList_other_TensorList(XPtrTorchTensorList self, XPtrTorchTensorList other);
 RcppExport SEXP _torch_cpp_torch_namespace__foreach_mul_self_TensorList_other_TensorList(SEXP selfSEXP, SEXP otherSEXP) {
@@ -27753,6 +28874,69 @@ BEGIN_RCPP
     return R_NilValue;
 END_RCPP
 }
+// cpp_torch_namespace__foreach_mul_self_TensorList_scalars_ArrayRefScalar
+XPtrTorchTensorList cpp_torch_namespace__foreach_mul_self_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_mul_self_TensorList_scalars_ArrayRefScalar(SEXP selfSEXP, SEXP scalarsSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchvector_Scalar >::type scalars(scalarsSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_mul_self_TensorList_scalars_ArrayRefScalar(self, scalars));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__foreach_mul__self_TensorList_scalars_ArrayRefScalar
+void cpp_torch_namespace__foreach_mul__self_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_mul__self_TensorList_scalars_ArrayRefScalar(SEXP selfSEXP, SEXP scalarsSEXP) {
+BEGIN_RCPP
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchvector_Scalar >::type scalars(scalarsSEXP);
+    cpp_torch_namespace__foreach_mul__self_TensorList_scalars_ArrayRefScalar(self, scalars);
+    return R_NilValue;
+END_RCPP
+}
+// cpp_torch_namespace__foreach_mul_self_TensorList_other_Tensor
+XPtrTorchTensorList cpp_torch_namespace__foreach_mul_self_TensorList_other_Tensor(XPtrTorchTensorList self, XPtrTorchTensor other);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_mul_self_TensorList_other_Tensor(SEXP selfSEXP, SEXP otherSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type other(otherSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_mul_self_TensorList_other_Tensor(self, other));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__foreach_mul__self_TensorList_other_Tensor
+void cpp_torch_namespace__foreach_mul__self_TensorList_other_Tensor(XPtrTorchTensorList self, XPtrTorchTensor other);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_mul__self_TensorList_other_Tensor(SEXP selfSEXP, SEXP otherSEXP) {
+BEGIN_RCPP
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type other(otherSEXP);
+    cpp_torch_namespace__foreach_mul__self_TensorList_other_Tensor(self, other);
+    return R_NilValue;
+END_RCPP
+}
+// cpp_torch_namespace__foreach_div_self_TensorList_scalar_Scalar
+XPtrTorchTensorList cpp_torch_namespace__foreach_div_self_TensorList_scalar_Scalar(XPtrTorchTensorList self, XPtrTorchScalar scalar);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_div_self_TensorList_scalar_Scalar(SEXP selfSEXP, SEXP scalarSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type scalar(scalarSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_div_self_TensorList_scalar_Scalar(self, scalar));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__foreach_div__self_TensorList_scalar_Scalar
+void cpp_torch_namespace__foreach_div__self_TensorList_scalar_Scalar(XPtrTorchTensorList self, XPtrTorchScalar scalar);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_div__self_TensorList_scalar_Scalar(SEXP selfSEXP, SEXP scalarSEXP) {
+BEGIN_RCPP
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type scalar(scalarSEXP);
+    cpp_torch_namespace__foreach_div__self_TensorList_scalar_Scalar(self, scalar);
+    return R_NilValue;
+END_RCPP
+}
 // cpp_torch_namespace__foreach_div_self_TensorList_other_TensorList
 XPtrTorchTensorList cpp_torch_namespace__foreach_div_self_TensorList_other_TensorList(XPtrTorchTensorList self, XPtrTorchTensorList other);
 RcppExport SEXP _torch_cpp_torch_namespace__foreach_div_self_TensorList_other_TensorList(SEXP selfSEXP, SEXP otherSEXP) {
@@ -27774,213 +28958,213 @@ BEGIN_RCPP
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_clamp_min_self_TensorList_other_TensorList
-XPtrTorchTensorList cpp_torch_namespace__foreach_clamp_min_self_TensorList_other_TensorList(XPtrTorchTensorList self, XPtrTorchTensorList other);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_clamp_min_self_TensorList_other_TensorList(SEXP selfSEXP, SEXP otherSEXP) {
+// cpp_torch_namespace__foreach_div_self_TensorList_scalars_ArrayRefScalar
+XPtrTorchTensorList cpp_torch_namespace__foreach_div_self_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_div_self_TensorList_scalars_ArrayRefScalar(SEXP selfSEXP, SEXP scalarsSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type other(otherSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_clamp_min_self_TensorList_other_TensorList(self, other));
+    Rcpp::traits::input_parameter< XPtrTorchvector_Scalar >::type scalars(scalarsSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_div_self_TensorList_scalars_ArrayRefScalar(self, scalars));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_clamp_min__self_TensorList_other_TensorList
-void cpp_torch_namespace__foreach_clamp_min__self_TensorList_other_TensorList(XPtrTorchTensorList self, XPtrTorchTensorList other);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_clamp_min__self_TensorList_other_TensorList(SEXP selfSEXP, SEXP otherSEXP) {
+// cpp_torch_namespace__foreach_div__self_TensorList_scalars_ArrayRefScalar
+void cpp_torch_namespace__foreach_div__self_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_div__self_TensorList_scalars_ArrayRefScalar(SEXP selfSEXP, SEXP scalarsSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type other(otherSEXP);
-    cpp_torch_namespace__foreach_clamp_min__self_TensorList_other_TensorList(self, other);
+    Rcpp::traits::input_parameter< XPtrTorchvector_Scalar >::type scalars(scalarsSEXP);
+    cpp_torch_namespace__foreach_div__self_TensorList_scalars_ArrayRefScalar(self, scalars);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_clamp_max_self_TensorList_other_TensorList
-XPtrTorchTensorList cpp_torch_namespace__foreach_clamp_max_self_TensorList_other_TensorList(XPtrTorchTensorList self, XPtrTorchTensorList other);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_clamp_max_self_TensorList_other_TensorList(SEXP selfSEXP, SEXP otherSEXP) {
+// cpp_torch_namespace__foreach_div_self_TensorList_other_Tensor
+XPtrTorchTensorList cpp_torch_namespace__foreach_div_self_TensorList_other_Tensor(XPtrTorchTensorList self, XPtrTorchTensor other);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_div_self_TensorList_other_Tensor(SEXP selfSEXP, SEXP otherSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type other(otherSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_clamp_max_self_TensorList_other_TensorList(self, other));
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type other(otherSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_div_self_TensorList_other_Tensor(self, other));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_clamp_max__self_TensorList_other_TensorList
-void cpp_torch_namespace__foreach_clamp_max__self_TensorList_other_TensorList(XPtrTorchTensorList self, XPtrTorchTensorList other);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_clamp_max__self_TensorList_other_TensorList(SEXP selfSEXP, SEXP otherSEXP) {
+// cpp_torch_namespace__foreach_div__self_TensorList_other_Tensor
+void cpp_torch_namespace__foreach_div__self_TensorList_other_Tensor(XPtrTorchTensorList self, XPtrTorchTensor other);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_div__self_TensorList_other_Tensor(SEXP selfSEXP, SEXP otherSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type other(otherSEXP);
-    cpp_torch_namespace__foreach_clamp_max__self_TensorList_other_TensorList(self, other);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type other(otherSEXP);
+    cpp_torch_namespace__foreach_div__self_TensorList_other_Tensor(self, other);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_maximum_self_TensorList_other_TensorList
-XPtrTorchTensorList cpp_torch_namespace__foreach_maximum_self_TensorList_other_TensorList(XPtrTorchTensorList self, XPtrTorchTensorList other);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_maximum_self_TensorList_other_TensorList(SEXP selfSEXP, SEXP otherSEXP) {
+// cpp_torch_namespace__foreach_clamp_max_self_TensorList_scalar_Scalar
+XPtrTorchTensorList cpp_torch_namespace__foreach_clamp_max_self_TensorList_scalar_Scalar(XPtrTorchTensorList self, XPtrTorchScalar scalar);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_clamp_max_self_TensorList_scalar_Scalar(SEXP selfSEXP, SEXP scalarSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type other(otherSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_maximum_self_TensorList_other_TensorList(self, other));
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type scalar(scalarSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_clamp_max_self_TensorList_scalar_Scalar(self, scalar));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_maximum__self_TensorList_other_TensorList
-void cpp_torch_namespace__foreach_maximum__self_TensorList_other_TensorList(XPtrTorchTensorList self, XPtrTorchTensorList other);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_maximum__self_TensorList_other_TensorList(SEXP selfSEXP, SEXP otherSEXP) {
+// cpp_torch_namespace__foreach_clamp_max__self_TensorList_scalar_Scalar
+void cpp_torch_namespace__foreach_clamp_max__self_TensorList_scalar_Scalar(XPtrTorchTensorList self, XPtrTorchScalar scalar);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_clamp_max__self_TensorList_scalar_Scalar(SEXP selfSEXP, SEXP scalarSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type other(otherSEXP);
-    cpp_torch_namespace__foreach_maximum__self_TensorList_other_TensorList(self, other);
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type scalar(scalarSEXP);
+    cpp_torch_namespace__foreach_clamp_max__self_TensorList_scalar_Scalar(self, scalar);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_minimum_self_TensorList_other_TensorList
-XPtrTorchTensorList cpp_torch_namespace__foreach_minimum_self_TensorList_other_TensorList(XPtrTorchTensorList self, XPtrTorchTensorList other);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_minimum_self_TensorList_other_TensorList(SEXP selfSEXP, SEXP otherSEXP) {
+// cpp_torch_namespace__foreach_clamp_max_self_TensorList_other_TensorList
+XPtrTorchTensorList cpp_torch_namespace__foreach_clamp_max_self_TensorList_other_TensorList(XPtrTorchTensorList self, XPtrTorchTensorList other);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_clamp_max_self_TensorList_other_TensorList(SEXP selfSEXP, SEXP otherSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type other(otherSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_minimum_self_TensorList_other_TensorList(self, other));
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_clamp_max_self_TensorList_other_TensorList(self, other));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_minimum__self_TensorList_other_TensorList
-void cpp_torch_namespace__foreach_minimum__self_TensorList_other_TensorList(XPtrTorchTensorList self, XPtrTorchTensorList other);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_minimum__self_TensorList_other_TensorList(SEXP selfSEXP, SEXP otherSEXP) {
+// cpp_torch_namespace__foreach_clamp_max__self_TensorList_other_TensorList
+void cpp_torch_namespace__foreach_clamp_max__self_TensorList_other_TensorList(XPtrTorchTensorList self, XPtrTorchTensorList other);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_clamp_max__self_TensorList_other_TensorList(SEXP selfSEXP, SEXP otherSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type other(otherSEXP);
-    cpp_torch_namespace__foreach_minimum__self_TensorList_other_TensorList(self, other);
+    cpp_torch_namespace__foreach_clamp_max__self_TensorList_other_TensorList(self, other);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_add_self_TensorList_scalars_ArrayRefScalar
-XPtrTorchTensorList cpp_torch_namespace__foreach_add_self_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_add_self_TensorList_scalars_ArrayRefScalar(SEXP selfSEXP, SEXP scalarsSEXP) {
+// cpp_torch_namespace__foreach_clamp_max_self_TensorList_scalars_ArrayRefScalar
+XPtrTorchTensorList cpp_torch_namespace__foreach_clamp_max_self_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_clamp_max_self_TensorList_scalars_ArrayRefScalar(SEXP selfSEXP, SEXP scalarsSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
     Rcpp::traits::input_parameter< XPtrTorchvector_Scalar >::type scalars(scalarsSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_add_self_TensorList_scalars_ArrayRefScalar(self, scalars));
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_clamp_max_self_TensorList_scalars_ArrayRefScalar(self, scalars));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_add__self_TensorList_scalars_ArrayRefScalar
-void cpp_torch_namespace__foreach_add__self_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_add__self_TensorList_scalars_ArrayRefScalar(SEXP selfSEXP, SEXP scalarsSEXP) {
+// cpp_torch_namespace__foreach_clamp_max__self_TensorList_scalars_ArrayRefScalar
+void cpp_torch_namespace__foreach_clamp_max__self_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_clamp_max__self_TensorList_scalars_ArrayRefScalar(SEXP selfSEXP, SEXP scalarsSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
     Rcpp::traits::input_parameter< XPtrTorchvector_Scalar >::type scalars(scalarsSEXP);
-    cpp_torch_namespace__foreach_add__self_TensorList_scalars_ArrayRefScalar(self, scalars);
+    cpp_torch_namespace__foreach_clamp_max__self_TensorList_scalars_ArrayRefScalar(self, scalars);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_sub_self_TensorList_scalars_ArrayRefScalar
-XPtrTorchTensorList cpp_torch_namespace__foreach_sub_self_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_sub_self_TensorList_scalars_ArrayRefScalar(SEXP selfSEXP, SEXP scalarsSEXP) {
+// cpp_torch_namespace__foreach_clamp_min_self_TensorList_scalar_Scalar
+XPtrTorchTensorList cpp_torch_namespace__foreach_clamp_min_self_TensorList_scalar_Scalar(XPtrTorchTensorList self, XPtrTorchScalar scalar);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_clamp_min_self_TensorList_scalar_Scalar(SEXP selfSEXP, SEXP scalarSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchvector_Scalar >::type scalars(scalarsSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_sub_self_TensorList_scalars_ArrayRefScalar(self, scalars));
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type scalar(scalarSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_clamp_min_self_TensorList_scalar_Scalar(self, scalar));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_sub__self_TensorList_scalars_ArrayRefScalar
-void cpp_torch_namespace__foreach_sub__self_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_sub__self_TensorList_scalars_ArrayRefScalar(SEXP selfSEXP, SEXP scalarsSEXP) {
+// cpp_torch_namespace__foreach_clamp_min__self_TensorList_scalar_Scalar
+void cpp_torch_namespace__foreach_clamp_min__self_TensorList_scalar_Scalar(XPtrTorchTensorList self, XPtrTorchScalar scalar);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_clamp_min__self_TensorList_scalar_Scalar(SEXP selfSEXP, SEXP scalarSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchvector_Scalar >::type scalars(scalarsSEXP);
-    cpp_torch_namespace__foreach_sub__self_TensorList_scalars_ArrayRefScalar(self, scalars);
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type scalar(scalarSEXP);
+    cpp_torch_namespace__foreach_clamp_min__self_TensorList_scalar_Scalar(self, scalar);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_div_self_TensorList_scalars_ArrayRefScalar
-XPtrTorchTensorList cpp_torch_namespace__foreach_div_self_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_div_self_TensorList_scalars_ArrayRefScalar(SEXP selfSEXP, SEXP scalarsSEXP) {
+// cpp_torch_namespace__foreach_clamp_min_self_TensorList_other_TensorList
+XPtrTorchTensorList cpp_torch_namespace__foreach_clamp_min_self_TensorList_other_TensorList(XPtrTorchTensorList self, XPtrTorchTensorList other);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_clamp_min_self_TensorList_other_TensorList(SEXP selfSEXP, SEXP otherSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchvector_Scalar >::type scalars(scalarsSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_div_self_TensorList_scalars_ArrayRefScalar(self, scalars));
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type other(otherSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_clamp_min_self_TensorList_other_TensorList(self, other));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_div__self_TensorList_scalars_ArrayRefScalar
-void cpp_torch_namespace__foreach_div__self_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_div__self_TensorList_scalars_ArrayRefScalar(SEXP selfSEXP, SEXP scalarsSEXP) {
+// cpp_torch_namespace__foreach_clamp_min__self_TensorList_other_TensorList
+void cpp_torch_namespace__foreach_clamp_min__self_TensorList_other_TensorList(XPtrTorchTensorList self, XPtrTorchTensorList other);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_clamp_min__self_TensorList_other_TensorList(SEXP selfSEXP, SEXP otherSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchvector_Scalar >::type scalars(scalarsSEXP);
-    cpp_torch_namespace__foreach_div__self_TensorList_scalars_ArrayRefScalar(self, scalars);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type other(otherSEXP);
+    cpp_torch_namespace__foreach_clamp_min__self_TensorList_other_TensorList(self, other);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_mul_self_TensorList_scalars_ArrayRefScalar
-XPtrTorchTensorList cpp_torch_namespace__foreach_mul_self_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_mul_self_TensorList_scalars_ArrayRefScalar(SEXP selfSEXP, SEXP scalarsSEXP) {
+// cpp_torch_namespace__foreach_clamp_min_self_TensorList_scalars_ArrayRefScalar
+XPtrTorchTensorList cpp_torch_namespace__foreach_clamp_min_self_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_clamp_min_self_TensorList_scalars_ArrayRefScalar(SEXP selfSEXP, SEXP scalarsSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
     Rcpp::traits::input_parameter< XPtrTorchvector_Scalar >::type scalars(scalarsSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_mul_self_TensorList_scalars_ArrayRefScalar(self, scalars));
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_clamp_min_self_TensorList_scalars_ArrayRefScalar(self, scalars));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_mul__self_TensorList_scalars_ArrayRefScalar
-void cpp_torch_namespace__foreach_mul__self_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_mul__self_TensorList_scalars_ArrayRefScalar(SEXP selfSEXP, SEXP scalarsSEXP) {
+// cpp_torch_namespace__foreach_clamp_min__self_TensorList_scalars_ArrayRefScalar
+void cpp_torch_namespace__foreach_clamp_min__self_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_clamp_min__self_TensorList_scalars_ArrayRefScalar(SEXP selfSEXP, SEXP scalarsSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
     Rcpp::traits::input_parameter< XPtrTorchvector_Scalar >::type scalars(scalarsSEXP);
-    cpp_torch_namespace__foreach_mul__self_TensorList_scalars_ArrayRefScalar(self, scalars);
+    cpp_torch_namespace__foreach_clamp_min__self_TensorList_scalars_ArrayRefScalar(self, scalars);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_clamp_min_self_TensorList_scalars_ArrayRefScalar
-XPtrTorchTensorList cpp_torch_namespace__foreach_clamp_min_self_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_clamp_min_self_TensorList_scalars_ArrayRefScalar(SEXP selfSEXP, SEXP scalarsSEXP) {
+// cpp_torch_namespace__foreach_maximum_self_TensorList_scalar_Scalar
+XPtrTorchTensorList cpp_torch_namespace__foreach_maximum_self_TensorList_scalar_Scalar(XPtrTorchTensorList self, XPtrTorchScalar scalar);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_maximum_self_TensorList_scalar_Scalar(SEXP selfSEXP, SEXP scalarSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchvector_Scalar >::type scalars(scalarsSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_clamp_min_self_TensorList_scalars_ArrayRefScalar(self, scalars));
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type scalar(scalarSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_maximum_self_TensorList_scalar_Scalar(self, scalar));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_clamp_min__self_TensorList_scalars_ArrayRefScalar
-void cpp_torch_namespace__foreach_clamp_min__self_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_clamp_min__self_TensorList_scalars_ArrayRefScalar(SEXP selfSEXP, SEXP scalarsSEXP) {
+// cpp_torch_namespace__foreach_maximum__self_TensorList_scalar_Scalar
+void cpp_torch_namespace__foreach_maximum__self_TensorList_scalar_Scalar(XPtrTorchTensorList self, XPtrTorchScalar scalar);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_maximum__self_TensorList_scalar_Scalar(SEXP selfSEXP, SEXP scalarSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchvector_Scalar >::type scalars(scalarsSEXP);
-    cpp_torch_namespace__foreach_clamp_min__self_TensorList_scalars_ArrayRefScalar(self, scalars);
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type scalar(scalarSEXP);
+    cpp_torch_namespace__foreach_maximum__self_TensorList_scalar_Scalar(self, scalar);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_clamp_max_self_TensorList_scalars_ArrayRefScalar
-XPtrTorchTensorList cpp_torch_namespace__foreach_clamp_max_self_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_clamp_max_self_TensorList_scalars_ArrayRefScalar(SEXP selfSEXP, SEXP scalarsSEXP) {
+// cpp_torch_namespace__foreach_maximum_self_TensorList_other_TensorList
+XPtrTorchTensorList cpp_torch_namespace__foreach_maximum_self_TensorList_other_TensorList(XPtrTorchTensorList self, XPtrTorchTensorList other);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_maximum_self_TensorList_other_TensorList(SEXP selfSEXP, SEXP otherSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchvector_Scalar >::type scalars(scalarsSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_clamp_max_self_TensorList_scalars_ArrayRefScalar(self, scalars));
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type other(otherSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_maximum_self_TensorList_other_TensorList(self, other));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_clamp_max__self_TensorList_scalars_ArrayRefScalar
-void cpp_torch_namespace__foreach_clamp_max__self_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_clamp_max__self_TensorList_scalars_ArrayRefScalar(SEXP selfSEXP, SEXP scalarsSEXP) {
+// cpp_torch_namespace__foreach_maximum__self_TensorList_other_TensorList
+void cpp_torch_namespace__foreach_maximum__self_TensorList_other_TensorList(XPtrTorchTensorList self, XPtrTorchTensorList other);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_maximum__self_TensorList_other_TensorList(SEXP selfSEXP, SEXP otherSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchvector_Scalar >::type scalars(scalarsSEXP);
-    cpp_torch_namespace__foreach_clamp_max__self_TensorList_scalars_ArrayRefScalar(self, scalars);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type other(otherSEXP);
+    cpp_torch_namespace__foreach_maximum__self_TensorList_other_TensorList(self, other);
     return R_NilValue;
 END_RCPP
 }
@@ -28005,6 +29189,48 @@ BEGIN_RCPP
     return R_NilValue;
 END_RCPP
 }
+// cpp_torch_namespace__foreach_minimum_self_TensorList_scalar_Scalar
+XPtrTorchTensorList cpp_torch_namespace__foreach_minimum_self_TensorList_scalar_Scalar(XPtrTorchTensorList self, XPtrTorchScalar scalar);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_minimum_self_TensorList_scalar_Scalar(SEXP selfSEXP, SEXP scalarSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type scalar(scalarSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_minimum_self_TensorList_scalar_Scalar(self, scalar));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__foreach_minimum__self_TensorList_scalar_Scalar
+void cpp_torch_namespace__foreach_minimum__self_TensorList_scalar_Scalar(XPtrTorchTensorList self, XPtrTorchScalar scalar);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_minimum__self_TensorList_scalar_Scalar(SEXP selfSEXP, SEXP scalarSEXP) {
+BEGIN_RCPP
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type scalar(scalarSEXP);
+    cpp_torch_namespace__foreach_minimum__self_TensorList_scalar_Scalar(self, scalar);
+    return R_NilValue;
+END_RCPP
+}
+// cpp_torch_namespace__foreach_minimum_self_TensorList_other_TensorList
+XPtrTorchTensorList cpp_torch_namespace__foreach_minimum_self_TensorList_other_TensorList(XPtrTorchTensorList self, XPtrTorchTensorList other);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_minimum_self_TensorList_other_TensorList(SEXP selfSEXP, SEXP otherSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type other(otherSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_minimum_self_TensorList_other_TensorList(self, other));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__foreach_minimum__self_TensorList_other_TensorList
+void cpp_torch_namespace__foreach_minimum__self_TensorList_other_TensorList(XPtrTorchTensorList self, XPtrTorchTensorList other);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_minimum__self_TensorList_other_TensorList(SEXP selfSEXP, SEXP otherSEXP) {
+BEGIN_RCPP
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type other(otherSEXP);
+    cpp_torch_namespace__foreach_minimum__self_TensorList_other_TensorList(self, other);
+    return R_NilValue;
+END_RCPP
+}
 // cpp_torch_namespace__foreach_minimum_self_TensorList_scalars_ArrayRefScalar
 XPtrTorchTensorList cpp_torch_namespace__foreach_minimum_self_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars);
 RcppExport SEXP _torch_cpp_torch_namespace__foreach_minimum_self_TensorList_scalars_ArrayRefScalar(SEXP selfSEXP, SEXP scalarsSEXP) {
@@ -28026,50 +29252,153 @@ BEGIN_RCPP
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_exp_self_TensorList
-XPtrTorchTensorList cpp_torch_namespace__foreach_exp_self_TensorList(XPtrTorchTensorList self);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_exp_self_TensorList(SEXP selfSEXP) {
+// cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList
+XPtrTorchTensorList cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList(XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchScalar value);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList(SEXP selfSEXP, SEXP tensor1SEXP, SEXP tensor2SEXP, SEXP valueSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_exp_self_TensorList(self));
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor1(tensor1SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor2(tensor2SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type value(valueSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList(self, tensor1, tensor2, value));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_zero__self_TensorList
-void cpp_torch_namespace__foreach_zero__self_TensorList(XPtrTorchTensorList self);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_zero__self_TensorList(SEXP selfSEXP) {
+// cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar
+XPtrTorchTensorList cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchvector_Scalar scalars);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar(SEXP selfSEXP, SEXP tensor1SEXP, SEXP tensor2SEXP, SEXP scalarsSEXP) {
 BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    cpp_torch_namespace__foreach_zero__self_TensorList(self);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor1(tensor1SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor2(tensor2SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchvector_Scalar >::type scalars(scalarsSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar(self, tensor1, tensor2, scalars));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor
+XPtrTorchTensorList cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor(XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchTensor scalars);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor(SEXP selfSEXP, SEXP tensor1SEXP, SEXP tensor2SEXP, SEXP scalarsSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor1(tensor1SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor2(tensor2SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type scalars(scalarsSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor(self, tensor1, tensor2, scalars));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList
+void cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList(XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchScalar value);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList(SEXP selfSEXP, SEXP tensor1SEXP, SEXP tensor2SEXP, SEXP valueSEXP) {
+BEGIN_RCPP
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor1(tensor1SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor2(tensor2SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type value(valueSEXP);
+    cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList(self, tensor1, tensor2, value);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_exp__self_TensorList
-void cpp_torch_namespace__foreach_exp__self_TensorList(XPtrTorchTensorList self);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_exp__self_TensorList(SEXP selfSEXP) {
+// cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar
+void cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchvector_Scalar scalars);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar(SEXP selfSEXP, SEXP tensor1SEXP, SEXP tensor2SEXP, SEXP scalarsSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    cpp_torch_namespace__foreach_exp__self_TensorList(self);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor1(tensor1SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor2(tensor2SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchvector_Scalar >::type scalars(scalarsSEXP);
+    cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar(self, tensor1, tensor2, scalars);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_sqrt_self_TensorList
-XPtrTorchTensorList cpp_torch_namespace__foreach_sqrt_self_TensorList(XPtrTorchTensorList self);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_sqrt_self_TensorList(SEXP selfSEXP) {
+// cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor
+void cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor(XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchTensor scalars);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor(SEXP selfSEXP, SEXP tensor1SEXP, SEXP tensor2SEXP, SEXP scalarsSEXP) {
+BEGIN_RCPP
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor1(tensor1SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor2(tensor2SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type scalars(scalarsSEXP);
+    cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor(self, tensor1, tensor2, scalars);
+    return R_NilValue;
+END_RCPP
+}
+// cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList
+XPtrTorchTensorList cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList(XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchScalar value);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList(SEXP selfSEXP, SEXP tensor1SEXP, SEXP tensor2SEXP, SEXP valueSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_sqrt_self_TensorList(self));
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor1(tensor1SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor2(tensor2SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type value(valueSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList(self, tensor1, tensor2, value));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_sqrt__self_TensorList
-void cpp_torch_namespace__foreach_sqrt__self_TensorList(XPtrTorchTensorList self);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_sqrt__self_TensorList(SEXP selfSEXP) {
+// cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar
+XPtrTorchTensorList cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchvector_Scalar scalars);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar(SEXP selfSEXP, SEXP tensor1SEXP, SEXP tensor2SEXP, SEXP scalarsSEXP) {
 BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    cpp_torch_namespace__foreach_sqrt__self_TensorList(self);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor1(tensor1SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor2(tensor2SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchvector_Scalar >::type scalars(scalarsSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar(self, tensor1, tensor2, scalars));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor
+XPtrTorchTensorList cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor(XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchTensor scalars);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor(SEXP selfSEXP, SEXP tensor1SEXP, SEXP tensor2SEXP, SEXP scalarsSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor1(tensor1SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor2(tensor2SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type scalars(scalarsSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor(self, tensor1, tensor2, scalars));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList
+void cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList(XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchScalar value);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList(SEXP selfSEXP, SEXP tensor1SEXP, SEXP tensor2SEXP, SEXP valueSEXP) {
+BEGIN_RCPP
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor1(tensor1SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor2(tensor2SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type value(valueSEXP);
+    cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList(self, tensor1, tensor2, value);
+    return R_NilValue;
+END_RCPP
+}
+// cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar
+void cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchvector_Scalar scalars);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar(SEXP selfSEXP, SEXP tensor1SEXP, SEXP tensor2SEXP, SEXP scalarsSEXP) {
+BEGIN_RCPP
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor1(tensor1SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor2(tensor2SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchvector_Scalar >::type scalars(scalarsSEXP);
+    cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar(self, tensor1, tensor2, scalars);
+    return R_NilValue;
+END_RCPP
+}
+// cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor
+void cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor(XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchTensor scalars);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor(SEXP selfSEXP, SEXP tensor1SEXP, SEXP tensor2SEXP, SEXP scalarsSEXP) {
+BEGIN_RCPP
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor1(tensor1SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor2(tensor2SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type scalars(scalarsSEXP);
+    cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor(self, tensor1, tensor2, scalars);
     return R_NilValue;
 END_RCPP
 }
@@ -28244,6 +29573,25 @@ BEGIN_RCPP
     return R_NilValue;
 END_RCPP
 }
+// cpp_torch_namespace__foreach_exp_self_TensorList
+XPtrTorchTensorList cpp_torch_namespace__foreach_exp_self_TensorList(XPtrTorchTensorList self);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_exp_self_TensorList(SEXP selfSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_exp_self_TensorList(self));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__foreach_exp__self_TensorList
+void cpp_torch_namespace__foreach_exp__self_TensorList(XPtrTorchTensorList self);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_exp__self_TensorList(SEXP selfSEXP) {
+BEGIN_RCPP
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    cpp_torch_namespace__foreach_exp__self_TensorList(self);
+    return R_NilValue;
+END_RCPP
+}
 // cpp_torch_namespace__foreach_expm1_self_TensorList
 XPtrTorchTensorList cpp_torch_namespace__foreach_expm1_self_TensorList(XPtrTorchTensorList self);
 RcppExport SEXP _torch_cpp_torch_namespace__foreach_expm1_self_TensorList(SEXP selfSEXP) {
@@ -28282,6 +29630,90 @@ BEGIN_RCPP
     return R_NilValue;
 END_RCPP
 }
+// cpp_torch_namespace__foreach_frac_self_TensorList
+XPtrTorchTensorList cpp_torch_namespace__foreach_frac_self_TensorList(XPtrTorchTensorList self);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_frac_self_TensorList(SEXP selfSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_frac_self_TensorList(self));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__foreach_frac__self_TensorList
+void cpp_torch_namespace__foreach_frac__self_TensorList(XPtrTorchTensorList self);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_frac__self_TensorList(SEXP selfSEXP) {
+BEGIN_RCPP
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    cpp_torch_namespace__foreach_frac__self_TensorList(self);
+    return R_NilValue;
+END_RCPP
+}
+// cpp_torch_namespace__foreach_lerp_self_TensorList_tensors1_TensorList_weights_TensorList
+XPtrTorchTensorList cpp_torch_namespace__foreach_lerp_self_TensorList_tensors1_TensorList_weights_TensorList(XPtrTorchTensorList self, XPtrTorchTensorList tensors1, XPtrTorchTensorList weights);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_lerp_self_TensorList_tensors1_TensorList_weights_TensorList(SEXP selfSEXP, SEXP tensors1SEXP, SEXP weightsSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensors1(tensors1SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type weights(weightsSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_lerp_self_TensorList_tensors1_TensorList_weights_TensorList(self, tensors1, weights));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__foreach_lerp__self_TensorList_tensors1_TensorList_weights_TensorList
+void cpp_torch_namespace__foreach_lerp__self_TensorList_tensors1_TensorList_weights_TensorList(XPtrTorchTensorList self, XPtrTorchTensorList tensors1, XPtrTorchTensorList weights);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_lerp__self_TensorList_tensors1_TensorList_weights_TensorList(SEXP selfSEXP, SEXP tensors1SEXP, SEXP weightsSEXP) {
+BEGIN_RCPP
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensors1(tensors1SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type weights(weightsSEXP);
+    cpp_torch_namespace__foreach_lerp__self_TensorList_tensors1_TensorList_weights_TensorList(self, tensors1, weights);
+    return R_NilValue;
+END_RCPP
+}
+// cpp_torch_namespace__foreach_lerp_self_TensorList_tensors1_TensorList_weight_Scalar
+XPtrTorchTensorList cpp_torch_namespace__foreach_lerp_self_TensorList_tensors1_TensorList_weight_Scalar(XPtrTorchTensorList self, XPtrTorchTensorList tensors1, XPtrTorchScalar weight);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_lerp_self_TensorList_tensors1_TensorList_weight_Scalar(SEXP selfSEXP, SEXP tensors1SEXP, SEXP weightSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensors1(tensors1SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type weight(weightSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_lerp_self_TensorList_tensors1_TensorList_weight_Scalar(self, tensors1, weight));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__foreach_lerp__self_TensorList_tensors1_TensorList_weight_Scalar
+void cpp_torch_namespace__foreach_lerp__self_TensorList_tensors1_TensorList_weight_Scalar(XPtrTorchTensorList self, XPtrTorchTensorList tensors1, XPtrTorchScalar weight);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_lerp__self_TensorList_tensors1_TensorList_weight_Scalar(SEXP selfSEXP, SEXP tensors1SEXP, SEXP weightSEXP) {
+BEGIN_RCPP
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensors1(tensors1SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type weight(weightSEXP);
+    cpp_torch_namespace__foreach_lerp__self_TensorList_tensors1_TensorList_weight_Scalar(self, tensors1, weight);
+    return R_NilValue;
+END_RCPP
+}
+// cpp_torch_namespace__foreach_lgamma_self_TensorList
+XPtrTorchTensorList cpp_torch_namespace__foreach_lgamma_self_TensorList(XPtrTorchTensorList self);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_lgamma_self_TensorList(SEXP selfSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_lgamma_self_TensorList(self));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__foreach_lgamma__self_TensorList
+void cpp_torch_namespace__foreach_lgamma__self_TensorList(XPtrTorchTensorList self);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_lgamma__self_TensorList(SEXP selfSEXP) {
+BEGIN_RCPP
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    cpp_torch_namespace__foreach_lgamma__self_TensorList(self);
+    return R_NilValue;
+END_RCPP
+}
 // cpp_torch_namespace__foreach_log_self_TensorList
 XPtrTorchTensorList cpp_torch_namespace__foreach_log_self_TensorList(XPtrTorchTensorList self);
 RcppExport SEXP _torch_cpp_torch_namespace__foreach_log_self_TensorList(SEXP selfSEXP) {
@@ -28358,6 +29790,16 @@ BEGIN_RCPP
     return R_NilValue;
 END_RCPP
 }
+// cpp_torch_namespace__foreach_max_self_TensorList
+XPtrTorchTensorList cpp_torch_namespace__foreach_max_self_TensorList(XPtrTorchTensorList self);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_max_self_TensorList(SEXP selfSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_max_self_TensorList(self));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_namespace__foreach_neg_self_TensorList
 XPtrTorchTensorList cpp_torch_namespace__foreach_neg_self_TensorList(XPtrTorchTensorList self);
 RcppExport SEXP _torch_cpp_torch_namespace__foreach_neg_self_TensorList(SEXP selfSEXP) {
@@ -28377,155 +29819,127 @@ BEGIN_RCPP
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_tan_self_TensorList
-XPtrTorchTensorList cpp_torch_namespace__foreach_tan_self_TensorList(XPtrTorchTensorList self);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_tan_self_TensorList(SEXP selfSEXP) {
+// cpp_torch_namespace__foreach_norm_self_TensorList
+XPtrTorchTensorList cpp_torch_namespace__foreach_norm_self_TensorList(XPtrTorchTensorList self, XPtrTorchScalar ord, XPtrTorchoptional_scalar_type dtype);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_norm_self_TensorList(SEXP selfSEXP, SEXP ordSEXP, SEXP dtypeSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_tan_self_TensorList(self));
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type ord(ordSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchoptional_scalar_type >::type dtype(dtypeSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_norm_self_TensorList(self, ord, dtype));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_tan__self_TensorList
-void cpp_torch_namespace__foreach_tan__self_TensorList(XPtrTorchTensorList self);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_tan__self_TensorList(SEXP selfSEXP) {
-BEGIN_RCPP
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    cpp_torch_namespace__foreach_tan__self_TensorList(self);
-    return R_NilValue;
-END_RCPP
-}
-// cpp_torch_namespace__foreach_tanh_self_TensorList
-XPtrTorchTensorList cpp_torch_namespace__foreach_tanh_self_TensorList(XPtrTorchTensorList self);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_tanh_self_TensorList(SEXP selfSEXP) {
+// cpp_torch_namespace__foreach_pow_self_TensorList_exponent_TensorList
+XPtrTorchTensorList cpp_torch_namespace__foreach_pow_self_TensorList_exponent_TensorList(XPtrTorchTensorList self, XPtrTorchTensorList exponent);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_pow_self_TensorList_exponent_TensorList(SEXP selfSEXP, SEXP exponentSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_tanh_self_TensorList(self));
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type exponent(exponentSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_pow_self_TensorList_exponent_TensorList(self, exponent));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_tanh__self_TensorList
-void cpp_torch_namespace__foreach_tanh__self_TensorList(XPtrTorchTensorList self);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_tanh__self_TensorList(SEXP selfSEXP) {
-BEGIN_RCPP
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    cpp_torch_namespace__foreach_tanh__self_TensorList(self);
-    return R_NilValue;
-END_RCPP
-}
-// cpp_torch_namespace__foreach_sin_self_TensorList
-XPtrTorchTensorList cpp_torch_namespace__foreach_sin_self_TensorList(XPtrTorchTensorList self);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_sin_self_TensorList(SEXP selfSEXP) {
+// cpp_torch_namespace__foreach_pow_self_TensorList_exponent_Scalar
+XPtrTorchTensorList cpp_torch_namespace__foreach_pow_self_TensorList_exponent_Scalar(XPtrTorchTensorList self, XPtrTorchScalar exponent);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_pow_self_TensorList_exponent_Scalar(SEXP selfSEXP, SEXP exponentSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_sin_self_TensorList(self));
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type exponent(exponentSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_pow_self_TensorList_exponent_Scalar(self, exponent));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_sin__self_TensorList
-void cpp_torch_namespace__foreach_sin__self_TensorList(XPtrTorchTensorList self);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_sin__self_TensorList(SEXP selfSEXP) {
-BEGIN_RCPP
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    cpp_torch_namespace__foreach_sin__self_TensorList(self);
-    return R_NilValue;
-END_RCPP
-}
-// cpp_torch_namespace__foreach_sinh_self_TensorList
-XPtrTorchTensorList cpp_torch_namespace__foreach_sinh_self_TensorList(XPtrTorchTensorList self);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_sinh_self_TensorList(SEXP selfSEXP) {
+// cpp_torch_namespace__foreach_pow_self_TensorList_exponent_ArrayRefScalar
+XPtrTorchTensorList cpp_torch_namespace__foreach_pow_self_TensorList_exponent_ArrayRefScalar(XPtrTorchTensorList self, XPtrTorchvector_Scalar exponent);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_pow_self_TensorList_exponent_ArrayRefScalar(SEXP selfSEXP, SEXP exponentSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_sinh_self_TensorList(self));
+    Rcpp::traits::input_parameter< XPtrTorchvector_Scalar >::type exponent(exponentSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_pow_self_TensorList_exponent_ArrayRefScalar(self, exponent));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_sinh__self_TensorList
-void cpp_torch_namespace__foreach_sinh__self_TensorList(XPtrTorchTensorList self);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_sinh__self_TensorList(SEXP selfSEXP) {
-BEGIN_RCPP
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    cpp_torch_namespace__foreach_sinh__self_TensorList(self);
-    return R_NilValue;
-END_RCPP
-}
-// cpp_torch_namespace__foreach_round_self_TensorList
-XPtrTorchTensorList cpp_torch_namespace__foreach_round_self_TensorList(XPtrTorchTensorList self);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_round_self_TensorList(SEXP selfSEXP) {
+// cpp_torch_namespace__foreach_pow_self_Scalar_exponent_TensorList
+XPtrTorchTensorList cpp_torch_namespace__foreach_pow_self_Scalar_exponent_TensorList(XPtrTorchScalar self, XPtrTorchTensorList exponent);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_pow_self_Scalar_exponent_TensorList(SEXP selfSEXP, SEXP exponentSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_round_self_TensorList(self));
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type exponent(exponentSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_pow_self_Scalar_exponent_TensorList(self, exponent));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_round__self_TensorList
-void cpp_torch_namespace__foreach_round__self_TensorList(XPtrTorchTensorList self);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_round__self_TensorList(SEXP selfSEXP) {
+// cpp_torch_namespace__foreach_pow__self_TensorList_exponent_TensorList
+void cpp_torch_namespace__foreach_pow__self_TensorList_exponent_TensorList(XPtrTorchTensorList self, XPtrTorchTensorList exponent);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_pow__self_TensorList_exponent_TensorList(SEXP selfSEXP, SEXP exponentSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    cpp_torch_namespace__foreach_round__self_TensorList(self);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type exponent(exponentSEXP);
+    cpp_torch_namespace__foreach_pow__self_TensorList_exponent_TensorList(self, exponent);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_lgamma_self_TensorList
-XPtrTorchTensorList cpp_torch_namespace__foreach_lgamma_self_TensorList(XPtrTorchTensorList self);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_lgamma_self_TensorList(SEXP selfSEXP) {
+// cpp_torch_namespace__foreach_pow__self_TensorList_exponent_Scalar
+void cpp_torch_namespace__foreach_pow__self_TensorList_exponent_Scalar(XPtrTorchTensorList self, XPtrTorchScalar exponent);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_pow__self_TensorList_exponent_Scalar(SEXP selfSEXP, SEXP exponentSEXP) {
 BEGIN_RCPP
-    Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_lgamma_self_TensorList(self));
-    return rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type exponent(exponentSEXP);
+    cpp_torch_namespace__foreach_pow__self_TensorList_exponent_Scalar(self, exponent);
+    return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_lgamma__self_TensorList
-void cpp_torch_namespace__foreach_lgamma__self_TensorList(XPtrTorchTensorList self);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_lgamma__self_TensorList(SEXP selfSEXP) {
+// cpp_torch_namespace__foreach_pow__self_TensorList_exponent_ArrayRefScalar
+void cpp_torch_namespace__foreach_pow__self_TensorList_exponent_ArrayRefScalar(XPtrTorchTensorList self, XPtrTorchvector_Scalar exponent);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_pow__self_TensorList_exponent_ArrayRefScalar(SEXP selfSEXP, SEXP exponentSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    cpp_torch_namespace__foreach_lgamma__self_TensorList(self);
+    Rcpp::traits::input_parameter< XPtrTorchvector_Scalar >::type exponent(exponentSEXP);
+    cpp_torch_namespace__foreach_pow__self_TensorList_exponent_ArrayRefScalar(self, exponent);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_frac_self_TensorList
-XPtrTorchTensorList cpp_torch_namespace__foreach_frac_self_TensorList(XPtrTorchTensorList self);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_frac_self_TensorList(SEXP selfSEXP) {
+// cpp_torch_namespace__foreach_reciprocal_self_TensorList
+XPtrTorchTensorList cpp_torch_namespace__foreach_reciprocal_self_TensorList(XPtrTorchTensorList self);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_reciprocal_self_TensorList(SEXP selfSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_frac_self_TensorList(self));
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_reciprocal_self_TensorList(self));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_frac__self_TensorList
-void cpp_torch_namespace__foreach_frac__self_TensorList(XPtrTorchTensorList self);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_frac__self_TensorList(SEXP selfSEXP) {
+// cpp_torch_namespace__foreach_reciprocal__self_TensorList
+void cpp_torch_namespace__foreach_reciprocal__self_TensorList(XPtrTorchTensorList self);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_reciprocal__self_TensorList(SEXP selfSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    cpp_torch_namespace__foreach_frac__self_TensorList(self);
+    cpp_torch_namespace__foreach_reciprocal__self_TensorList(self);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_reciprocal_self_TensorList
-XPtrTorchTensorList cpp_torch_namespace__foreach_reciprocal_self_TensorList(XPtrTorchTensorList self);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_reciprocal_self_TensorList(SEXP selfSEXP) {
+// cpp_torch_namespace__foreach_round_self_TensorList
+XPtrTorchTensorList cpp_torch_namespace__foreach_round_self_TensorList(XPtrTorchTensorList self);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_round_self_TensorList(SEXP selfSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_reciprocal_self_TensorList(self));
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_round_self_TensorList(self));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_reciprocal__self_TensorList
-void cpp_torch_namespace__foreach_reciprocal__self_TensorList(XPtrTorchTensorList self);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_reciprocal__self_TensorList(SEXP selfSEXP) {
+// cpp_torch_namespace__foreach_round__self_TensorList
+void cpp_torch_namespace__foreach_round__self_TensorList(XPtrTorchTensorList self);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_round__self_TensorList(SEXP selfSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    cpp_torch_namespace__foreach_reciprocal__self_TensorList(self);
+    cpp_torch_namespace__foreach_round__self_TensorList(self);
     return R_NilValue;
 END_RCPP
 }
@@ -28548,232 +29962,171 @@ BEGIN_RCPP
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_trunc_self_TensorList
-XPtrTorchTensorList cpp_torch_namespace__foreach_trunc_self_TensorList(XPtrTorchTensorList self);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_trunc_self_TensorList(SEXP selfSEXP) {
+// cpp_torch_namespace__foreach_sign_self_TensorList
+XPtrTorchTensorList cpp_torch_namespace__foreach_sign_self_TensorList(XPtrTorchTensorList self);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_sign_self_TensorList(SEXP selfSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_trunc_self_TensorList(self));
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_sign_self_TensorList(self));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_trunc__self_TensorList
-void cpp_torch_namespace__foreach_trunc__self_TensorList(XPtrTorchTensorList self);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_trunc__self_TensorList(SEXP selfSEXP) {
+// cpp_torch_namespace__foreach_sign__self_TensorList
+void cpp_torch_namespace__foreach_sign__self_TensorList(XPtrTorchTensorList self);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_sign__self_TensorList(SEXP selfSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    cpp_torch_namespace__foreach_trunc__self_TensorList(self);
+    cpp_torch_namespace__foreach_sign__self_TensorList(self);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList
-void cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList(XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchScalar value);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList(SEXP selfSEXP, SEXP tensor1SEXP, SEXP tensor2SEXP, SEXP valueSEXP) {
+// cpp_torch_namespace__foreach_sin_self_TensorList
+XPtrTorchTensorList cpp_torch_namespace__foreach_sin_self_TensorList(XPtrTorchTensorList self);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_sin_self_TensorList(SEXP selfSEXP) {
 BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor1(tensor1SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor2(tensor2SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchScalar >::type value(valueSEXP);
-    cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList(self, tensor1, tensor2, value);
-    return R_NilValue;
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_sin_self_TensorList(self));
+    return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList
-void cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList(XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchScalar value);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList(SEXP selfSEXP, SEXP tensor1SEXP, SEXP tensor2SEXP, SEXP valueSEXP) {
+// cpp_torch_namespace__foreach_sin__self_TensorList
+void cpp_torch_namespace__foreach_sin__self_TensorList(XPtrTorchTensorList self);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_sin__self_TensorList(SEXP selfSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor1(tensor1SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor2(tensor2SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchScalar >::type value(valueSEXP);
-    cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList(self, tensor1, tensor2, value);
+    cpp_torch_namespace__foreach_sin__self_TensorList(self);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar
-void cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchvector_Scalar scalars);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar(SEXP selfSEXP, SEXP tensor1SEXP, SEXP tensor2SEXP, SEXP scalarsSEXP) {
+// cpp_torch_namespace__foreach_sinh_self_TensorList
+XPtrTorchTensorList cpp_torch_namespace__foreach_sinh_self_TensorList(XPtrTorchTensorList self);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_sinh_self_TensorList(SEXP selfSEXP) {
 BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor1(tensor1SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor2(tensor2SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchvector_Scalar >::type scalars(scalarsSEXP);
-    cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar(self, tensor1, tensor2, scalars);
-    return R_NilValue;
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_sinh_self_TensorList(self));
+    return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor
-void cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor(XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchTensor scalars);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor(SEXP selfSEXP, SEXP tensor1SEXP, SEXP tensor2SEXP, SEXP scalarsSEXP) {
+// cpp_torch_namespace__foreach_sinh__self_TensorList
+void cpp_torch_namespace__foreach_sinh__self_TensorList(XPtrTorchTensorList self);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_sinh__self_TensorList(SEXP selfSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor1(tensor1SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor2(tensor2SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type scalars(scalarsSEXP);
-    cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor(self, tensor1, tensor2, scalars);
+    cpp_torch_namespace__foreach_sinh__self_TensorList(self);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar
-void cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchvector_Scalar scalars);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar(SEXP selfSEXP, SEXP tensor1SEXP, SEXP tensor2SEXP, SEXP scalarsSEXP) {
+// cpp_torch_namespace__foreach_sqrt_self_TensorList
+XPtrTorchTensorList cpp_torch_namespace__foreach_sqrt_self_TensorList(XPtrTorchTensorList self);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_sqrt_self_TensorList(SEXP selfSEXP) {
 BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor1(tensor1SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor2(tensor2SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchvector_Scalar >::type scalars(scalarsSEXP);
-    cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar(self, tensor1, tensor2, scalars);
-    return R_NilValue;
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_sqrt_self_TensorList(self));
+    return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor
-void cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor(XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchTensor scalars);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor(SEXP selfSEXP, SEXP tensor1SEXP, SEXP tensor2SEXP, SEXP scalarsSEXP) {
+// cpp_torch_namespace__foreach_sqrt__self_TensorList
+void cpp_torch_namespace__foreach_sqrt__self_TensorList(XPtrTorchTensorList self);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_sqrt__self_TensorList(SEXP selfSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor1(tensor1SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor2(tensor2SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type scalars(scalarsSEXP);
-    cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor(self, tensor1, tensor2, scalars);
+    cpp_torch_namespace__foreach_sqrt__self_TensorList(self);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList
-XPtrTorchTensorList cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList(XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchScalar value);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList(SEXP selfSEXP, SEXP tensor1SEXP, SEXP tensor2SEXP, SEXP valueSEXP) {
-BEGIN_RCPP
-    Rcpp::RObject rcpp_result_gen;
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor1(tensor1SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor2(tensor2SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchScalar >::type value(valueSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList(self, tensor1, tensor2, value));
-    return rcpp_result_gen;
-END_RCPP
-}
-// cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList
-XPtrTorchTensorList cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList(XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchScalar value);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList(SEXP selfSEXP, SEXP tensor1SEXP, SEXP tensor2SEXP, SEXP valueSEXP) {
+// cpp_torch_namespace__foreach_tan_self_TensorList
+XPtrTorchTensorList cpp_torch_namespace__foreach_tan_self_TensorList(XPtrTorchTensorList self);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_tan_self_TensorList(SEXP selfSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor1(tensor1SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor2(tensor2SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchScalar >::type value(valueSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList(self, tensor1, tensor2, value));
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_tan_self_TensorList(self));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar
-XPtrTorchTensorList cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchvector_Scalar scalars);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar(SEXP selfSEXP, SEXP tensor1SEXP, SEXP tensor2SEXP, SEXP scalarsSEXP) {
+// cpp_torch_namespace__foreach_tan__self_TensorList
+void cpp_torch_namespace__foreach_tan__self_TensorList(XPtrTorchTensorList self);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_tan__self_TensorList(SEXP selfSEXP) {
 BEGIN_RCPP
-    Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor1(tensor1SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor2(tensor2SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchvector_Scalar >::type scalars(scalarsSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar(self, tensor1, tensor2, scalars));
-    return rcpp_result_gen;
+    cpp_torch_namespace__foreach_tan__self_TensorList(self);
+    return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor
-XPtrTorchTensorList cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor(XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchTensor scalars);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor(SEXP selfSEXP, SEXP tensor1SEXP, SEXP tensor2SEXP, SEXP scalarsSEXP) {
+// cpp_torch_namespace__foreach_tanh_self_TensorList
+XPtrTorchTensorList cpp_torch_namespace__foreach_tanh_self_TensorList(XPtrTorchTensorList self);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_tanh_self_TensorList(SEXP selfSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor1(tensor1SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor2(tensor2SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type scalars(scalarsSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor(self, tensor1, tensor2, scalars));
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_tanh_self_TensorList(self));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar
-XPtrTorchTensorList cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchvector_Scalar scalars);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar(SEXP selfSEXP, SEXP tensor1SEXP, SEXP tensor2SEXP, SEXP scalarsSEXP) {
+// cpp_torch_namespace__foreach_tanh__self_TensorList
+void cpp_torch_namespace__foreach_tanh__self_TensorList(XPtrTorchTensorList self);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_tanh__self_TensorList(SEXP selfSEXP) {
 BEGIN_RCPP
-    Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor1(tensor1SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor2(tensor2SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchvector_Scalar >::type scalars(scalarsSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar(self, tensor1, tensor2, scalars));
-    return rcpp_result_gen;
+    cpp_torch_namespace__foreach_tanh__self_TensorList(self);
+    return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor
-XPtrTorchTensorList cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor(XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchTensor scalars);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor(SEXP selfSEXP, SEXP tensor1SEXP, SEXP tensor2SEXP, SEXP scalarsSEXP) {
+// cpp_torch_namespace__foreach_trunc_self_TensorList
+XPtrTorchTensorList cpp_torch_namespace__foreach_trunc_self_TensorList(XPtrTorchTensorList self);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_trunc_self_TensorList(SEXP selfSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor1(tensor1SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor2(tensor2SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type scalars(scalarsSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor(self, tensor1, tensor2, scalars));
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_trunc_self_TensorList(self));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_norm_self_TensorList
-XPtrTorchTensorList cpp_torch_namespace__foreach_norm_self_TensorList(XPtrTorchTensorList self, XPtrTorchScalar ord);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_norm_self_TensorList(SEXP selfSEXP, SEXP ordSEXP) {
+// cpp_torch_namespace__foreach_trunc__self_TensorList
+void cpp_torch_namespace__foreach_trunc__self_TensorList(XPtrTorchTensorList self);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_trunc__self_TensorList(SEXP selfSEXP) {
 BEGIN_RCPP
-    Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchScalar >::type ord(ordSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_norm_self_TensorList(self, ord));
-    return rcpp_result_gen;
+    cpp_torch_namespace__foreach_trunc__self_TensorList(self);
+    return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_lerp_self_TensorList_tensors1_TensorList_weights_TensorList
-XPtrTorchTensorList cpp_torch_namespace__foreach_lerp_self_TensorList_tensors1_TensorList_weights_TensorList(XPtrTorchTensorList self, XPtrTorchTensorList tensors1, XPtrTorchTensorList weights);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_lerp_self_TensorList_tensors1_TensorList_weights_TensorList(SEXP selfSEXP, SEXP tensors1SEXP, SEXP weightsSEXP) {
+// cpp_torch_namespace__foreach_zero__self_TensorList
+void cpp_torch_namespace__foreach_zero__self_TensorList(XPtrTorchTensorList self);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_zero__self_TensorList(SEXP selfSEXP) {
 BEGIN_RCPP
-    Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensors1(tensors1SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type weights(weightsSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_lerp_self_TensorList_tensors1_TensorList_weights_TensorList(self, tensors1, weights));
-    return rcpp_result_gen;
+    cpp_torch_namespace__foreach_zero__self_TensorList(self);
+    return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_lerp__self_TensorList_tensors1_TensorList_weights_TensorList
-void cpp_torch_namespace__foreach_lerp__self_TensorList_tensors1_TensorList_weights_TensorList(XPtrTorchTensorList self, XPtrTorchTensorList tensors1, XPtrTorchTensorList weights);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_lerp__self_TensorList_tensors1_TensorList_weights_TensorList(SEXP selfSEXP, SEXP tensors1SEXP, SEXP weightsSEXP) {
+// cpp_torch_namespace__foreach_copy__self_TensorList_src_TensorList
+void cpp_torch_namespace__foreach_copy__self_TensorList_src_TensorList(XPtrTorchTensorList self, XPtrTorchTensorList src, XPtrTorchbool non_blocking);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_copy__self_TensorList_src_TensorList(SEXP selfSEXP, SEXP srcSEXP, SEXP non_blockingSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensors1(tensors1SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type weights(weightsSEXP);
-    cpp_torch_namespace__foreach_lerp__self_TensorList_tensors1_TensorList_weights_TensorList(self, tensors1, weights);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type src(srcSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type non_blocking(non_blockingSEXP);
+    cpp_torch_namespace__foreach_copy__self_TensorList_src_TensorList(self, src, non_blocking);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_lerp_self_TensorList_tensors1_TensorList_weight_Scalar
-XPtrTorchTensorList cpp_torch_namespace__foreach_lerp_self_TensorList_tensors1_TensorList_weight_Scalar(XPtrTorchTensorList self, XPtrTorchTensorList tensors1, XPtrTorchScalar weight);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_lerp_self_TensorList_tensors1_TensorList_weight_Scalar(SEXP selfSEXP, SEXP tensors1SEXP, SEXP weightSEXP) {
+// cpp_torch_namespace__foreach_copy_self_TensorList_src_TensorList
+XPtrTorchTensorList cpp_torch_namespace__foreach_copy_self_TensorList_src_TensorList(XPtrTorchTensorList self, XPtrTorchTensorList src, XPtrTorchbool non_blocking);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_copy_self_TensorList_src_TensorList(SEXP selfSEXP, SEXP srcSEXP, SEXP non_blockingSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensors1(tensors1SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchScalar >::type weight(weightSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_lerp_self_TensorList_tensors1_TensorList_weight_Scalar(self, tensors1, weight));
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type src(srcSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type non_blocking(non_blockingSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_copy_self_TensorList_src_TensorList(self, src, non_blocking));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_lerp__self_TensorList_tensors1_TensorList_weight_Scalar
-void cpp_torch_namespace__foreach_lerp__self_TensorList_tensors1_TensorList_weight_Scalar(XPtrTorchTensorList self, XPtrTorchTensorList tensors1, XPtrTorchScalar weight);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_lerp__self_TensorList_tensors1_TensorList_weight_Scalar(SEXP selfSEXP, SEXP tensors1SEXP, SEXP weightSEXP) {
-BEGIN_RCPP
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensors1(tensors1SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchScalar >::type weight(weightSEXP);
-    cpp_torch_namespace__foreach_lerp__self_TensorList_tensors1_TensorList_weight_Scalar(self, tensors1, weight);
-    return R_NilValue;
-END_RCPP
-}
 // cpp_torch_namespace_bucketize_self_Tensor_boundaries_Tensor
 XPtrTorchTensor cpp_torch_namespace_bucketize_self_Tensor_boundaries_Tensor(XPtrTorchTensor self, XPtrTorchTensor boundaries, XPtrTorchbool out_int32, XPtrTorchbool right);
 RcppExport SEXP _torch_cpp_torch_namespace_bucketize_self_Tensor_boundaries_Tensor(SEXP selfSEXP, SEXP boundariesSEXP, SEXP out_int32SEXP, SEXP rightSEXP) {
@@ -28860,6 +30213,22 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_namespace_searchsorted_out_out_Tensor_sorted_sequence_Tensor_self_Scalar
+XPtrTorchTensor cpp_torch_namespace_searchsorted_out_out_Tensor_sorted_sequence_Tensor_self_Scalar(XPtrTorchTensor out, XPtrTorchTensor sorted_sequence, XPtrTorchScalar self, XPtrTorchbool out_int32, XPtrTorchbool right, XPtrTorchoptional_string_view side, XPtrTorchOptionalTensor sorter);
+RcppExport SEXP _torch_cpp_torch_namespace_searchsorted_out_out_Tensor_sorted_sequence_Tensor_self_Scalar(SEXP outSEXP, SEXP sorted_sequenceSEXP, SEXP selfSEXP, SEXP out_int32SEXP, SEXP rightSEXP, SEXP sideSEXP, SEXP sorterSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type sorted_sequence(sorted_sequenceSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type out_int32(out_int32SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type right(rightSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchoptional_string_view >::type side(sideSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type sorter(sorterSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_searchsorted_out_out_Tensor_sorted_sequence_Tensor_self_Scalar(out, sorted_sequence, self, out_int32, right, side, sorter));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_namespace__convert_indices_from_coo_to_csr_self_Tensor_size_int64_t
 XPtrTorchTensor cpp_torch_namespace__convert_indices_from_coo_to_csr_self_Tensor_size_int64_t(XPtrTorchTensor self, XPtrTorchint64_t size, XPtrTorchbool out_int32);
 RcppExport SEXP _torch_cpp_torch_namespace__convert_indices_from_coo_to_csr_self_Tensor_size_int64_t(SEXP selfSEXP, SEXP sizeSEXP, SEXP out_int32SEXP) {
@@ -34329,6 +35698,16 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_namespace__linalg_eigvals_self_Tensor
+XPtrTorchTensor cpp_torch_namespace__linalg_eigvals_self_Tensor(XPtrTorchTensor self);
+RcppExport SEXP _torch_cpp_torch_namespace__linalg_eigvals_self_Tensor(SEXP selfSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__linalg_eigvals_self_Tensor(self));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_namespace_linalg_eigvals_self_Tensor
 XPtrTorchTensor cpp_torch_namespace_linalg_eigvals_self_Tensor(XPtrTorchTensor self);
 RcppExport SEXP _torch_cpp_torch_namespace_linalg_eigvals_self_Tensor(SEXP selfSEXP) {
@@ -35025,6 +36404,18 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_namespace__spsolve_A_Tensor_B_Tensor
+XPtrTorchTensor cpp_torch_namespace__spsolve_A_Tensor_B_Tensor(XPtrTorchTensor A, XPtrTorchTensor B, XPtrTorchbool left);
+RcppExport SEXP _torch_cpp_torch_namespace__spsolve_A_Tensor_B_Tensor(SEXP ASEXP, SEXP BSEXP, SEXP leftSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type A(ASEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type B(BSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type left(leftSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__spsolve_A_Tensor_B_Tensor(A, B, left));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_namespace_linalg_solve_out_out_Tensor_A_Tensor_B_Tensor
 XPtrTorchTensor cpp_torch_namespace_linalg_solve_out_out_Tensor_A_Tensor_B_Tensor(XPtrTorchTensor out, XPtrTorchTensor A, XPtrTorchTensor B, XPtrTorchbool left);
 RcppExport SEXP _torch_cpp_torch_namespace_linalg_solve_out_out_Tensor_A_Tensor_B_Tensor(SEXP outSEXP, SEXP ASEXP, SEXP BSEXP, SEXP leftSEXP) {
@@ -35282,6 +36673,18 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_namespace__test_parallel_materialize_self_Tensor_num_parallel_int64_t
+XPtrTorchTensor cpp_torch_namespace__test_parallel_materialize_self_Tensor_num_parallel_int64_t(XPtrTorchTensor self, XPtrTorchint64_t num_parallel, XPtrTorchbool skip_first);
+RcppExport SEXP _torch_cpp_torch_namespace__test_parallel_materialize_self_Tensor_num_parallel_int64_t(SEXP selfSEXP, SEXP num_parallelSEXP, SEXP skip_firstSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type num_parallel(num_parallelSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type skip_first(skip_firstSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__test_parallel_materialize_self_Tensor_num_parallel_int64_t(self, num_parallel, skip_first));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_namespace__test_optional_intlist_values_Tensor_addends_IntArrayRef
 XPtrTorchTensor cpp_torch_namespace__test_optional_intlist_values_Tensor_addends_IntArrayRef(XPtrTorchTensor values, XPtrTorchOptionalIntArrayRef addends);
 RcppExport SEXP _torch_cpp_torch_namespace__test_optional_intlist_values_Tensor_addends_IntArrayRef(SEXP valuesSEXP, SEXP addendsSEXP) {
@@ -35401,14 +36804,15 @@ BEGIN_RCPP
 END_RCPP
 }
 // cpp_torch_namespace_pad_sequence_sequences_TensorList
-XPtrTorchTensor cpp_torch_namespace_pad_sequence_sequences_TensorList(XPtrTorchTensorList sequences, XPtrTorchbool batch_first, XPtrTorchdouble padding_value);
-RcppExport SEXP _torch_cpp_torch_namespace_pad_sequence_sequences_TensorList(SEXP sequencesSEXP, SEXP batch_firstSEXP, SEXP padding_valueSEXP) {
+XPtrTorchTensor cpp_torch_namespace_pad_sequence_sequences_TensorList(XPtrTorchTensorList sequences, XPtrTorchbool batch_first, XPtrTorchdouble padding_value, XPtrTorchstring_view padding_side);
+RcppExport SEXP _torch_cpp_torch_namespace_pad_sequence_sequences_TensorList(SEXP sequencesSEXP, SEXP batch_firstSEXP, SEXP padding_valueSEXP, SEXP padding_sideSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type sequences(sequencesSEXP);
     Rcpp::traits::input_parameter< XPtrTorchbool >::type batch_first(batch_firstSEXP);
     Rcpp::traits::input_parameter< XPtrTorchdouble >::type padding_value(padding_valueSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_pad_sequence_sequences_TensorList(sequences, batch_first, padding_value));
+    Rcpp::traits::input_parameter< XPtrTorchstring_view >::type padding_side(padding_sideSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_pad_sequence_sequences_TensorList(sequences, batch_first, padding_value, padding_side));
     return rcpp_result_gen;
 END_RCPP
 }
@@ -35878,6 +37282,31 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_namespace__jagged_to_padded_dense_forward_values_Tensor_offsets_TensorList_max_lengths_IntArrayRef
+XPtrTorchTensor cpp_torch_namespace__jagged_to_padded_dense_forward_values_Tensor_offsets_TensorList_max_lengths_IntArrayRef(XPtrTorchTensor values, XPtrTorchTensorList offsets, XPtrTorchIntArrayRef max_lengths, XPtrTorchdouble padding_value);
+RcppExport SEXP _torch_cpp_torch_namespace__jagged_to_padded_dense_forward_values_Tensor_offsets_TensorList_max_lengths_IntArrayRef(SEXP valuesSEXP, SEXP offsetsSEXP, SEXP max_lengthsSEXP, SEXP padding_valueSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type values(valuesSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type offsets(offsetsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchIntArrayRef >::type max_lengths(max_lengthsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type padding_value(padding_valueSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__jagged_to_padded_dense_forward_values_Tensor_offsets_TensorList_max_lengths_IntArrayRef(values, offsets, max_lengths, padding_value));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__padded_dense_to_jagged_forward_dense_Tensor_offsets_TensorList
+XPtrTorchTensor cpp_torch_namespace__padded_dense_to_jagged_forward_dense_Tensor_offsets_TensorList(XPtrTorchTensor dense, XPtrTorchTensorList offsets, XPtrTorchoptional_int64_t total_L);
+RcppExport SEXP _torch_cpp_torch_namespace__padded_dense_to_jagged_forward_dense_Tensor_offsets_TensorList(SEXP denseSEXP, SEXP offsetsSEXP, SEXP total_LSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type dense(denseSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type offsets(offsetsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchoptional_int64_t >::type total_L(total_LSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__padded_dense_to_jagged_forward_dense_Tensor_offsets_TensorList(dense, offsets, total_L));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_namespace__nested_tensor_softmax_with_shape_self_Tensor_query_Tensor
 XPtrTorchTensor cpp_torch_namespace__nested_tensor_softmax_with_shape_self_Tensor_query_Tensor(XPtrTorchTensor self, XPtrTorchTensor query);
 RcppExport SEXP _torch_cpp_torch_namespace__nested_tensor_softmax_with_shape_self_Tensor_query_Tensor(SEXP selfSEXP, SEXP querySEXP) {
@@ -35889,6 +37318,18 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_namespace__safe_softmax_self_Tensor_dim_int64_t
+XPtrTorchTensor cpp_torch_namespace__safe_softmax_self_Tensor_dim_int64_t(XPtrTorchTensor self, XPtrTorchindex_int64_t dim, XPtrTorchoptional_scalar_type dtype);
+RcppExport SEXP _torch_cpp_torch_namespace__safe_softmax_self_Tensor_dim_int64_t(SEXP selfSEXP, SEXP dimSEXP, SEXP dtypeSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchindex_int64_t >::type dim(dimSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchoptional_scalar_type >::type dtype(dtypeSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__safe_softmax_self_Tensor_dim_int64_t(self, dim, dtype));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_namespace__transformer_encoder_layer_fwd_src_Tensor_embed_dim_int64_t_num_heads_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor_use_gelu_bool_norm_first_bool_eps_double_norm_weight_1_Tensor_norm_bias_1_Tensor_norm_weight_2_Tensor_norm_bias_2_Tensor_ffn_weight_1_Tensor_ffn_bias_1_Tensor_ffn_weight_2_Tensor_ffn_bias_2_Tensor
 XPtrTorchTensor cpp_torch_namespace__transformer_encoder_layer_fwd_src_Tensor_embed_dim_int64_t_num_heads_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor_use_gelu_bool_norm_first_bool_eps_double_norm_weight_1_Tensor_norm_bias_1_Tensor_norm_weight_2_Tensor_norm_bias_2_Tensor_ffn_weight_1_Tensor_ffn_bias_1_Tensor_ffn_weight_2_Tensor_ffn_bias_2_Tensor(XPtrTorchTensor src, XPtrTorchint64_t embed_dim, XPtrTorchint64_t num_heads, XPtrTorchTensor qkv_weight, XPtrTorchTensor qkv_bias, XPtrTorchTensor proj_weight, XPtrTorchTensor proj_bias, XPtrTorchbool use_gelu, XPtrTorchbool norm_first, XPtrTorchdouble eps, XPtrTorchTensor norm_weight_1, XPtrTorchTensor norm_bias_1, XPtrTorchTensor norm_weight_2, XPtrTorchTensor norm_bias_2, XPtrTorchTensor ffn_weight_1, XPtrTorchTensor ffn_bias_1, XPtrTorchTensor ffn_weight_2, XPtrTorchTensor ffn_bias_2, XPtrTorchOptionalTensor mask, XPtrTorchoptional_int64_t mask_type);
 RcppExport SEXP _torch_cpp_torch_namespace__transformer_encoder_layer_fwd_src_Tensor_embed_dim_int64_t_num_heads_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor_use_gelu_bool_norm_first_bool_eps_double_norm_weight_1_Tensor_norm_bias_1_Tensor_norm_weight_2_Tensor_norm_bias_2_Tensor_ffn_weight_1_Tensor_ffn_bias_1_Tensor_ffn_weight_2_Tensor_ffn_bias_2_Tensor(SEXP srcSEXP, SEXP embed_dimSEXP, SEXP num_headsSEXP, SEXP qkv_weightSEXP, SEXP qkv_biasSEXP, SEXP proj_weightSEXP, SEXP proj_biasSEXP, SEXP use_geluSEXP, SEXP norm_firstSEXP, SEXP epsSEXP, SEXP norm_weight_1SEXP, SEXP norm_bias_1SEXP, SEXP norm_weight_2SEXP, SEXP norm_bias_2SEXP, SEXP ffn_weight_1SEXP, SEXP ffn_bias_1SEXP, SEXP ffn_weight_2SEXP, SEXP ffn_bias_2SEXP, SEXP maskSEXP, SEXP mask_typeSEXP) {
@@ -35941,8 +37382,8 @@ BEGIN_RCPP
 END_RCPP
 }
 // cpp_torch_namespace_scaled_dot_product_attention_query_Tensor_key_Tensor_value_Tensor
-XPtrTorchTensor cpp_torch_namespace_scaled_dot_product_attention_query_Tensor_key_Tensor_value_Tensor(XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchOptionalTensor attn_mask, XPtrTorchdouble dropout_p, XPtrTorchbool is_causal);
-RcppExport SEXP _torch_cpp_torch_namespace_scaled_dot_product_attention_query_Tensor_key_Tensor_value_Tensor(SEXP querySEXP, SEXP keySEXP, SEXP valueSEXP, SEXP attn_maskSEXP, SEXP dropout_pSEXP, SEXP is_causalSEXP) {
+XPtrTorchTensor cpp_torch_namespace_scaled_dot_product_attention_query_Tensor_key_Tensor_value_Tensor(XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchOptionalTensor attn_mask, XPtrTorchdouble dropout_p, XPtrTorchbool is_causal, XPtrTorchOptionaldouble scale, XPtrTorchbool enable_gqa);
+RcppExport SEXP _torch_cpp_torch_namespace_scaled_dot_product_attention_query_Tensor_key_Tensor_value_Tensor(SEXP querySEXP, SEXP keySEXP, SEXP valueSEXP, SEXP attn_maskSEXP, SEXP dropout_pSEXP, SEXP is_causalSEXP, SEXP scaleSEXP, SEXP enable_gqaSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type query(querySEXP);
@@ -35951,13 +37392,15 @@ BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type attn_mask(attn_maskSEXP);
     Rcpp::traits::input_parameter< XPtrTorchdouble >::type dropout_p(dropout_pSEXP);
     Rcpp::traits::input_parameter< XPtrTorchbool >::type is_causal(is_causalSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_scaled_dot_product_attention_query_Tensor_key_Tensor_value_Tensor(query, key, value, attn_mask, dropout_p, is_causal));
+    Rcpp::traits::input_parameter< XPtrTorchOptionaldouble >::type scale(scaleSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type enable_gqa(enable_gqaSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_scaled_dot_product_attention_query_Tensor_key_Tensor_value_Tensor(query, key, value, attn_mask, dropout_p, is_causal, scale, enable_gqa));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__scaled_dot_product_attention_query_Tensor_key_Tensor_value_Tensor
-Rcpp::List cpp_torch_namespace__scaled_dot_product_attention_query_Tensor_key_Tensor_value_Tensor(XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchOptionalTensor attn_mask, XPtrTorchdouble dropout_p, XPtrTorchbool need_attn_weights, XPtrTorchbool is_causal);
-RcppExport SEXP _torch_cpp_torch_namespace__scaled_dot_product_attention_query_Tensor_key_Tensor_value_Tensor(SEXP querySEXP, SEXP keySEXP, SEXP valueSEXP, SEXP attn_maskSEXP, SEXP dropout_pSEXP, SEXP need_attn_weightsSEXP, SEXP is_causalSEXP) {
+// cpp_torch_namespace__fused_sdp_choice_query_Tensor_key_Tensor_value_Tensor
+XPtrTorchint64_t cpp_torch_namespace__fused_sdp_choice_query_Tensor_key_Tensor_value_Tensor(XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchOptionalTensor attn_mask, XPtrTorchdouble dropout_p, XPtrTorchbool is_causal, XPtrTorchOptionaldouble scale, XPtrTorchbool enable_gqa);
+RcppExport SEXP _torch_cpp_torch_namespace__fused_sdp_choice_query_Tensor_key_Tensor_value_Tensor(SEXP querySEXP, SEXP keySEXP, SEXP valueSEXP, SEXP attn_maskSEXP, SEXP dropout_pSEXP, SEXP is_causalSEXP, SEXP scaleSEXP, SEXP enable_gqaSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type query(querySEXP);
@@ -35965,15 +37408,16 @@ BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type value(valueSEXP);
     Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type attn_mask(attn_maskSEXP);
     Rcpp::traits::input_parameter< XPtrTorchdouble >::type dropout_p(dropout_pSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchbool >::type need_attn_weights(need_attn_weightsSEXP);
     Rcpp::traits::input_parameter< XPtrTorchbool >::type is_causal(is_causalSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__scaled_dot_product_attention_query_Tensor_key_Tensor_value_Tensor(query, key, value, attn_mask, dropout_p, need_attn_weights, is_causal));
+    Rcpp::traits::input_parameter< XPtrTorchOptionaldouble >::type scale(scaleSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type enable_gqa(enable_gqaSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__fused_sdp_choice_query_Tensor_key_Tensor_value_Tensor(query, key, value, attn_mask, dropout_p, is_causal, scale, enable_gqa));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__fused_sdp_choice_query_Tensor_key_Tensor_value_Tensor
-XPtrTorchint64_t cpp_torch_namespace__fused_sdp_choice_query_Tensor_key_Tensor_value_Tensor(XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchOptionalTensor attn_mask, XPtrTorchdouble dropout_p, XPtrTorchbool is_causal);
-RcppExport SEXP _torch_cpp_torch_namespace__fused_sdp_choice_query_Tensor_key_Tensor_value_Tensor(SEXP querySEXP, SEXP keySEXP, SEXP valueSEXP, SEXP attn_maskSEXP, SEXP dropout_pSEXP, SEXP is_causalSEXP) {
+// cpp_torch_namespace__scaled_dot_product_attention_math_query_Tensor_key_Tensor_value_Tensor
+Rcpp::List cpp_torch_namespace__scaled_dot_product_attention_math_query_Tensor_key_Tensor_value_Tensor(XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchOptionalTensor attn_mask, XPtrTorchdouble dropout_p, XPtrTorchbool is_causal, XPtrTorchOptionalTensor dropout_mask, XPtrTorchOptionaldouble scale, XPtrTorchbool enable_gqa);
+RcppExport SEXP _torch_cpp_torch_namespace__scaled_dot_product_attention_math_query_Tensor_key_Tensor_value_Tensor(SEXP querySEXP, SEXP keySEXP, SEXP valueSEXP, SEXP attn_maskSEXP, SEXP dropout_pSEXP, SEXP is_causalSEXP, SEXP dropout_maskSEXP, SEXP scaleSEXP, SEXP enable_gqaSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type query(querySEXP);
@@ -35982,13 +37426,16 @@ BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type attn_mask(attn_maskSEXP);
     Rcpp::traits::input_parameter< XPtrTorchdouble >::type dropout_p(dropout_pSEXP);
     Rcpp::traits::input_parameter< XPtrTorchbool >::type is_causal(is_causalSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__fused_sdp_choice_query_Tensor_key_Tensor_value_Tensor(query, key, value, attn_mask, dropout_p, is_causal));
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type dropout_mask(dropout_maskSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionaldouble >::type scale(scaleSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type enable_gqa(enable_gqaSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__scaled_dot_product_attention_math_query_Tensor_key_Tensor_value_Tensor(query, key, value, attn_mask, dropout_p, is_causal, dropout_mask, scale, enable_gqa));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__scaled_dot_product_attention_math_query_Tensor_key_Tensor_value_Tensor
-Rcpp::List cpp_torch_namespace__scaled_dot_product_attention_math_query_Tensor_key_Tensor_value_Tensor(XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchOptionalTensor attn_mask, XPtrTorchdouble dropout_p, XPtrTorchbool is_causal, XPtrTorchOptionalTensor dropout_mask);
-RcppExport SEXP _torch_cpp_torch_namespace__scaled_dot_product_attention_math_query_Tensor_key_Tensor_value_Tensor(SEXP querySEXP, SEXP keySEXP, SEXP valueSEXP, SEXP attn_maskSEXP, SEXP dropout_pSEXP, SEXP is_causalSEXP, SEXP dropout_maskSEXP) {
+// cpp_torch_namespace__scaled_dot_product_attention_math_for_mps_query_Tensor_key_Tensor_value_Tensor
+Rcpp::List cpp_torch_namespace__scaled_dot_product_attention_math_for_mps_query_Tensor_key_Tensor_value_Tensor(XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchOptionalTensor attn_mask, XPtrTorchdouble dropout_p, XPtrTorchbool is_causal, XPtrTorchOptionalTensor dropout_mask, XPtrTorchOptionaldouble scale);
+RcppExport SEXP _torch_cpp_torch_namespace__scaled_dot_product_attention_math_for_mps_query_Tensor_key_Tensor_value_Tensor(SEXP querySEXP, SEXP keySEXP, SEXP valueSEXP, SEXP attn_maskSEXP, SEXP dropout_pSEXP, SEXP is_causalSEXP, SEXP dropout_maskSEXP, SEXP scaleSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type query(querySEXP);
@@ -35998,13 +37445,14 @@ BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchdouble >::type dropout_p(dropout_pSEXP);
     Rcpp::traits::input_parameter< XPtrTorchbool >::type is_causal(is_causalSEXP);
     Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type dropout_mask(dropout_maskSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__scaled_dot_product_attention_math_query_Tensor_key_Tensor_value_Tensor(query, key, value, attn_mask, dropout_p, is_causal, dropout_mask));
+    Rcpp::traits::input_parameter< XPtrTorchOptionaldouble >::type scale(scaleSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__scaled_dot_product_attention_math_for_mps_query_Tensor_key_Tensor_value_Tensor(query, key, value, attn_mask, dropout_p, is_causal, dropout_mask, scale));
     return rcpp_result_gen;
 END_RCPP
 }
 // cpp_torch_namespace__scaled_dot_product_flash_attention_query_Tensor_key_Tensor_value_Tensor
-Rcpp::List cpp_torch_namespace__scaled_dot_product_flash_attention_query_Tensor_key_Tensor_value_Tensor(XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchdouble dropout_p, XPtrTorchbool is_causal, XPtrTorchbool return_debug_mask);
-RcppExport SEXP _torch_cpp_torch_namespace__scaled_dot_product_flash_attention_query_Tensor_key_Tensor_value_Tensor(SEXP querySEXP, SEXP keySEXP, SEXP valueSEXP, SEXP dropout_pSEXP, SEXP is_causalSEXP, SEXP return_debug_maskSEXP) {
+Rcpp::List cpp_torch_namespace__scaled_dot_product_flash_attention_query_Tensor_key_Tensor_value_Tensor(XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchdouble dropout_p, XPtrTorchbool is_causal, XPtrTorchbool return_debug_mask, XPtrTorchOptionaldouble scale);
+RcppExport SEXP _torch_cpp_torch_namespace__scaled_dot_product_flash_attention_query_Tensor_key_Tensor_value_Tensor(SEXP querySEXP, SEXP keySEXP, SEXP valueSEXP, SEXP dropout_pSEXP, SEXP is_causalSEXP, SEXP return_debug_maskSEXP, SEXP scaleSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type query(querySEXP);
@@ -36013,13 +37461,47 @@ BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchdouble >::type dropout_p(dropout_pSEXP);
     Rcpp::traits::input_parameter< XPtrTorchbool >::type is_causal(is_causalSEXP);
     Rcpp::traits::input_parameter< XPtrTorchbool >::type return_debug_mask(return_debug_maskSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__scaled_dot_product_flash_attention_query_Tensor_key_Tensor_value_Tensor(query, key, value, dropout_p, is_causal, return_debug_mask));
+    Rcpp::traits::input_parameter< XPtrTorchOptionaldouble >::type scale(scaleSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__scaled_dot_product_flash_attention_query_Tensor_key_Tensor_value_Tensor(query, key, value, dropout_p, is_causal, return_debug_mask, scale));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__scaled_dot_product_flash_attention_for_cpu_query_Tensor_key_Tensor_value_Tensor
+Rcpp::List cpp_torch_namespace__scaled_dot_product_flash_attention_for_cpu_query_Tensor_key_Tensor_value_Tensor(XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchdouble dropout_p, XPtrTorchbool is_causal, XPtrTorchOptionalTensor attn_mask, XPtrTorchOptionaldouble scale);
+RcppExport SEXP _torch_cpp_torch_namespace__scaled_dot_product_flash_attention_for_cpu_query_Tensor_key_Tensor_value_Tensor(SEXP querySEXP, SEXP keySEXP, SEXP valueSEXP, SEXP dropout_pSEXP, SEXP is_causalSEXP, SEXP attn_maskSEXP, SEXP scaleSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type query(querySEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type key(keySEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type value(valueSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type dropout_p(dropout_pSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type is_causal(is_causalSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type attn_mask(attn_maskSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionaldouble >::type scale(scaleSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__scaled_dot_product_flash_attention_for_cpu_query_Tensor_key_Tensor_value_Tensor(query, key, value, dropout_p, is_causal, attn_mask, scale));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__scaled_dot_product_flash_attention_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_philox_seed_int64_t_philox_offset_int64_t
-Rcpp::List cpp_torch_namespace__scaled_dot_product_flash_attention_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_philox_seed_int64_t_philox_offset_int64_t(XPtrTorchTensor grad_out, XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchTensor out, XPtrTorchTensor logsumexp, XPtrTorchTensor cum_seq_q, XPtrTorchTensor cum_seq_k, XPtrTorchint64_t max_q, XPtrTorchint64_t max_k, XPtrTorchdouble dropout_p, XPtrTorchbool is_causal, XPtrTorchint64_t philox_seed, XPtrTorchint64_t philox_offset);
-RcppExport SEXP _torch_cpp_torch_namespace__scaled_dot_product_flash_attention_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_philox_seed_int64_t_philox_offset_int64_t(SEXP grad_outSEXP, SEXP querySEXP, SEXP keySEXP, SEXP valueSEXP, SEXP outSEXP, SEXP logsumexpSEXP, SEXP cum_seq_qSEXP, SEXP cum_seq_kSEXP, SEXP max_qSEXP, SEXP max_kSEXP, SEXP dropout_pSEXP, SEXP is_causalSEXP, SEXP philox_seedSEXP, SEXP philox_offsetSEXP) {
+// cpp_torch_namespace__scaled_dot_product_fused_attention_overrideable_query_Tensor_key_Tensor_value_Tensor
+Rcpp::List cpp_torch_namespace__scaled_dot_product_fused_attention_overrideable_query_Tensor_key_Tensor_value_Tensor(XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchOptionalTensor attn_bias, XPtrTorchdouble dropout_p, XPtrTorchbool is_causal, XPtrTorchbool return_debug_mask, XPtrTorchOptionaldouble scale);
+RcppExport SEXP _torch_cpp_torch_namespace__scaled_dot_product_fused_attention_overrideable_query_Tensor_key_Tensor_value_Tensor(SEXP querySEXP, SEXP keySEXP, SEXP valueSEXP, SEXP attn_biasSEXP, SEXP dropout_pSEXP, SEXP is_causalSEXP, SEXP return_debug_maskSEXP, SEXP scaleSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type query(querySEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type key(keySEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type value(valueSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type attn_bias(attn_biasSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type dropout_p(dropout_pSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type is_causal(is_causalSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type return_debug_mask(return_debug_maskSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionaldouble >::type scale(scaleSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__scaled_dot_product_fused_attention_overrideable_query_Tensor_key_Tensor_value_Tensor(query, key, value, attn_bias, dropout_p, is_causal, return_debug_mask, scale));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__scaled_dot_product_flash_attention_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_philox_seed_Tensor_philox_offset_Tensor
+Rcpp::List cpp_torch_namespace__scaled_dot_product_flash_attention_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_philox_seed_Tensor_philox_offset_Tensor(XPtrTorchTensor grad_out, XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchTensor out, XPtrTorchTensor logsumexp, XPtrTorchTensor cum_seq_q, XPtrTorchTensor cum_seq_k, XPtrTorchint64_t max_q, XPtrTorchint64_t max_k, XPtrTorchdouble dropout_p, XPtrTorchbool is_causal, XPtrTorchTensor philox_seed, XPtrTorchTensor philox_offset, XPtrTorchOptionaldouble scale);
+RcppExport SEXP _torch_cpp_torch_namespace__scaled_dot_product_flash_attention_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_philox_seed_Tensor_philox_offset_Tensor(SEXP grad_outSEXP, SEXP querySEXP, SEXP keySEXP, SEXP valueSEXP, SEXP outSEXP, SEXP logsumexpSEXP, SEXP cum_seq_qSEXP, SEXP cum_seq_kSEXP, SEXP max_qSEXP, SEXP max_kSEXP, SEXP dropout_pSEXP, SEXP is_causalSEXP, SEXP philox_seedSEXP, SEXP philox_offsetSEXP, SEXP scaleSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type grad_out(grad_outSEXP);
@@ -36034,78 +37516,167 @@ BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchint64_t >::type max_k(max_kSEXP);
     Rcpp::traits::input_parameter< XPtrTorchdouble >::type dropout_p(dropout_pSEXP);
     Rcpp::traits::input_parameter< XPtrTorchbool >::type is_causal(is_causalSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type philox_seed(philox_seedSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type philox_offset(philox_offsetSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__scaled_dot_product_flash_attention_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_philox_seed_int64_t_philox_offset_int64_t(grad_out, query, key, value, out, logsumexp, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, philox_seed, philox_offset));
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type philox_seed(philox_seedSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type philox_offset(philox_offsetSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionaldouble >::type scale(scaleSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__scaled_dot_product_flash_attention_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_philox_seed_Tensor_philox_offset_Tensor(grad_out, query, key, value, out, logsumexp, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, philox_seed, philox_offset, scale));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__scaled_dot_product_efficient_attention_query_Tensor_key_Tensor_value_Tensor_compute_log_sumexp_bool
-Rcpp::List cpp_torch_namespace__scaled_dot_product_efficient_attention_query_Tensor_key_Tensor_value_Tensor_compute_log_sumexp_bool(XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchbool compute_log_sumexp, XPtrTorchbool is_causal);
-RcppExport SEXP _torch_cpp_torch_namespace__scaled_dot_product_efficient_attention_query_Tensor_key_Tensor_value_Tensor_compute_log_sumexp_bool(SEXP querySEXP, SEXP keySEXP, SEXP valueSEXP, SEXP compute_log_sumexpSEXP, SEXP is_causalSEXP) {
+// cpp_torch_namespace__scaled_dot_product_flash_attention_for_cpu_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_dropout_p_double_is_causal_bool
+Rcpp::List cpp_torch_namespace__scaled_dot_product_flash_attention_for_cpu_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_dropout_p_double_is_causal_bool(XPtrTorchTensor grad_out, XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchTensor out, XPtrTorchTensor logsumexp, XPtrTorchdouble dropout_p, XPtrTorchbool is_causal, XPtrTorchOptionalTensor attn_mask, XPtrTorchOptionaldouble scale);
+RcppExport SEXP _torch_cpp_torch_namespace__scaled_dot_product_flash_attention_for_cpu_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_dropout_p_double_is_causal_bool(SEXP grad_outSEXP, SEXP querySEXP, SEXP keySEXP, SEXP valueSEXP, SEXP outSEXP, SEXP logsumexpSEXP, SEXP dropout_pSEXP, SEXP is_causalSEXP, SEXP attn_maskSEXP, SEXP scaleSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type grad_out(grad_outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type query(querySEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type key(keySEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type value(valueSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type logsumexp(logsumexpSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type dropout_p(dropout_pSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type is_causal(is_causalSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type attn_mask(attn_maskSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionaldouble >::type scale(scaleSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__scaled_dot_product_flash_attention_for_cpu_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_dropout_p_double_is_causal_bool(grad_out, query, key, value, out, logsumexp, dropout_p, is_causal, attn_mask, scale));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__scaled_dot_product_fused_attention_overrideable_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_attn_bias_Tensor_grad_input_mask_stdarraybool4_out_Tensor_logsumexp_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_philox_seed_Tensor_philox_offset_Tensor
+Rcpp::List cpp_torch_namespace__scaled_dot_product_fused_attention_overrideable_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_attn_bias_Tensor_grad_input_mask_stdarraybool4_out_Tensor_logsumexp_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_philox_seed_Tensor_philox_offset_Tensor(XPtrTorchTensor grad_out, XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchTensor attn_bias, std::vector<bool> grad_input_mask, XPtrTorchTensor out, XPtrTorchTensor logsumexp, XPtrTorchTensor cum_seq_q, XPtrTorchTensor cum_seq_k, XPtrTorchint64_t max_q, XPtrTorchint64_t max_k, XPtrTorchdouble dropout_p, XPtrTorchbool is_causal, XPtrTorchTensor philox_seed, XPtrTorchTensor philox_offset, XPtrTorchOptionaldouble scale);
+RcppExport SEXP _torch_cpp_torch_namespace__scaled_dot_product_fused_attention_overrideable_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_attn_bias_Tensor_grad_input_mask_stdarraybool4_out_Tensor_logsumexp_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_philox_seed_Tensor_philox_offset_Tensor(SEXP grad_outSEXP, SEXP querySEXP, SEXP keySEXP, SEXP valueSEXP, SEXP attn_biasSEXP, SEXP grad_input_maskSEXP, SEXP outSEXP, SEXP logsumexpSEXP, SEXP cum_seq_qSEXP, SEXP cum_seq_kSEXP, SEXP max_qSEXP, SEXP max_kSEXP, SEXP dropout_pSEXP, SEXP is_causalSEXP, SEXP philox_seedSEXP, SEXP philox_offsetSEXP, SEXP scaleSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type grad_out(grad_outSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type query(querySEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type key(keySEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type value(valueSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type attn_bias(attn_biasSEXP);
+    Rcpp::traits::input_parameter< std::vector<bool> >::type grad_input_mask(grad_input_maskSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type logsumexp(logsumexpSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type cum_seq_q(cum_seq_qSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type cum_seq_k(cum_seq_kSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type max_q(max_qSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type max_k(max_kSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type dropout_p(dropout_pSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type is_causal(is_causalSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type philox_seed(philox_seedSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type philox_offset(philox_offsetSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionaldouble >::type scale(scaleSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__scaled_dot_product_fused_attention_overrideable_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_attn_bias_Tensor_grad_input_mask_stdarraybool4_out_Tensor_logsumexp_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_philox_seed_Tensor_philox_offset_Tensor(grad_out, query, key, value, attn_bias, grad_input_mask, out, logsumexp, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, philox_seed, philox_offset, scale));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__scaled_dot_product_efficient_attention_query_Tensor_key_Tensor_value_Tensor_attn_bias_Tensor_compute_log_sumexp_bool
+Rcpp::List cpp_torch_namespace__scaled_dot_product_efficient_attention_query_Tensor_key_Tensor_value_Tensor_attn_bias_Tensor_compute_log_sumexp_bool(XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchOptionalTensor attn_bias, XPtrTorchbool compute_log_sumexp, XPtrTorchdouble dropout_p, XPtrTorchbool is_causal, XPtrTorchOptionaldouble scale);
+RcppExport SEXP _torch_cpp_torch_namespace__scaled_dot_product_efficient_attention_query_Tensor_key_Tensor_value_Tensor_attn_bias_Tensor_compute_log_sumexp_bool(SEXP querySEXP, SEXP keySEXP, SEXP valueSEXP, SEXP attn_biasSEXP, SEXP compute_log_sumexpSEXP, SEXP dropout_pSEXP, SEXP is_causalSEXP, SEXP scaleSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type query(querySEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type key(keySEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type value(valueSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type attn_bias(attn_biasSEXP);
     Rcpp::traits::input_parameter< XPtrTorchbool >::type compute_log_sumexp(compute_log_sumexpSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type dropout_p(dropout_pSEXP);
     Rcpp::traits::input_parameter< XPtrTorchbool >::type is_causal(is_causalSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__scaled_dot_product_efficient_attention_query_Tensor_key_Tensor_value_Tensor_compute_log_sumexp_bool(query, key, value, compute_log_sumexp, is_causal));
+    Rcpp::traits::input_parameter< XPtrTorchOptionaldouble >::type scale(scaleSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__scaled_dot_product_efficient_attention_query_Tensor_key_Tensor_value_Tensor_attn_bias_Tensor_compute_log_sumexp_bool(query, key, value, attn_bias, compute_log_sumexp, dropout_p, is_causal, scale));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__scaled_dot_product_efficient_attention_backward_grad_out__Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor
-Rcpp::List cpp_torch_namespace__scaled_dot_product_efficient_attention_backward_grad_out__Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor(XPtrTorchTensor grad_out_, XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchTensor out, XPtrTorchTensor logsumexp, XPtrTorchbool is_causal, XPtrTorchbool chunk_grad_outputs);
-RcppExport SEXP _torch_cpp_torch_namespace__scaled_dot_product_efficient_attention_backward_grad_out__Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor(SEXP grad_out_SEXP, SEXP querySEXP, SEXP keySEXP, SEXP valueSEXP, SEXP outSEXP, SEXP logsumexpSEXP, SEXP is_causalSEXP, SEXP chunk_grad_outputsSEXP) {
+// cpp_torch_namespace__scaled_dot_product_efficient_attention_backward_grad_out__Tensor_query_Tensor_key_Tensor_value_Tensor_attn_bias_Tensor_out_Tensor_logsumexp_Tensor_philox_seed_Tensor_philox_offset_Tensor_dropout_p_double_grad_input_mask_stdarraybool4
+Rcpp::List cpp_torch_namespace__scaled_dot_product_efficient_attention_backward_grad_out__Tensor_query_Tensor_key_Tensor_value_Tensor_attn_bias_Tensor_out_Tensor_logsumexp_Tensor_philox_seed_Tensor_philox_offset_Tensor_dropout_p_double_grad_input_mask_stdarraybool4(XPtrTorchTensor grad_out_, XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchTensor attn_bias, XPtrTorchTensor out, XPtrTorchTensor logsumexp, XPtrTorchTensor philox_seed, XPtrTorchTensor philox_offset, XPtrTorchdouble dropout_p, std::vector<bool> grad_input_mask, XPtrTorchbool is_causal, XPtrTorchOptionaldouble scale);
+RcppExport SEXP _torch_cpp_torch_namespace__scaled_dot_product_efficient_attention_backward_grad_out__Tensor_query_Tensor_key_Tensor_value_Tensor_attn_bias_Tensor_out_Tensor_logsumexp_Tensor_philox_seed_Tensor_philox_offset_Tensor_dropout_p_double_grad_input_mask_stdarraybool4(SEXP grad_out_SEXP, SEXP querySEXP, SEXP keySEXP, SEXP valueSEXP, SEXP attn_biasSEXP, SEXP outSEXP, SEXP logsumexpSEXP, SEXP philox_seedSEXP, SEXP philox_offsetSEXP, SEXP dropout_pSEXP, SEXP grad_input_maskSEXP, SEXP is_causalSEXP, SEXP scaleSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type grad_out_(grad_out_SEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type query(querySEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type key(keySEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type value(valueSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type attn_bias(attn_biasSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type logsumexp(logsumexpSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type philox_seed(philox_seedSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type philox_offset(philox_offsetSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type dropout_p(dropout_pSEXP);
+    Rcpp::traits::input_parameter< std::vector<bool> >::type grad_input_mask(grad_input_maskSEXP);
     Rcpp::traits::input_parameter< XPtrTorchbool >::type is_causal(is_causalSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchbool >::type chunk_grad_outputs(chunk_grad_outputsSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__scaled_dot_product_efficient_attention_backward_grad_out__Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor(grad_out_, query, key, value, out, logsumexp, is_causal, chunk_grad_outputs));
+    Rcpp::traits::input_parameter< XPtrTorchOptionaldouble >::type scale(scaleSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__scaled_dot_product_efficient_attention_backward_grad_out__Tensor_query_Tensor_key_Tensor_value_Tensor_attn_bias_Tensor_out_Tensor_logsumexp_Tensor_philox_seed_Tensor_philox_offset_Tensor_dropout_p_double_grad_input_mask_stdarraybool4(grad_out_, query, key, value, attn_bias, out, logsumexp, philox_seed, philox_offset, dropout_p, grad_input_mask, is_causal, scale));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__chunk_grad_outputs_efficient_attention_query_Tensor_key_Tensor_value_Tensor
-XPtrTorchbool cpp_torch_namespace__chunk_grad_outputs_efficient_attention_query_Tensor_key_Tensor_value_Tensor(XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchbool is_causal);
-RcppExport SEXP _torch_cpp_torch_namespace__chunk_grad_outputs_efficient_attention_query_Tensor_key_Tensor_value_Tensor(SEXP querySEXP, SEXP keySEXP, SEXP valueSEXP, SEXP is_causalSEXP) {
+// cpp_torch_namespace__scaled_dot_product_cudnn_attention_query_Tensor_key_Tensor_value_Tensor_attn_bias_Tensor_compute_log_sumexp_bool
+Rcpp::List cpp_torch_namespace__scaled_dot_product_cudnn_attention_query_Tensor_key_Tensor_value_Tensor_attn_bias_Tensor_compute_log_sumexp_bool(XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchOptionalTensor attn_bias, XPtrTorchbool compute_log_sumexp, XPtrTorchdouble dropout_p, XPtrTorchbool is_causal, XPtrTorchbool return_debug_mask, XPtrTorchOptionaldouble scale);
+RcppExport SEXP _torch_cpp_torch_namespace__scaled_dot_product_cudnn_attention_query_Tensor_key_Tensor_value_Tensor_attn_bias_Tensor_compute_log_sumexp_bool(SEXP querySEXP, SEXP keySEXP, SEXP valueSEXP, SEXP attn_biasSEXP, SEXP compute_log_sumexpSEXP, SEXP dropout_pSEXP, SEXP is_causalSEXP, SEXP return_debug_maskSEXP, SEXP scaleSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type query(querySEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type key(keySEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type value(valueSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type attn_bias(attn_biasSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type compute_log_sumexp(compute_log_sumexpSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type dropout_p(dropout_pSEXP);
     Rcpp::traits::input_parameter< XPtrTorchbool >::type is_causal(is_causalSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__chunk_grad_outputs_efficient_attention_query_Tensor_key_Tensor_value_Tensor(query, key, value, is_causal));
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type return_debug_mask(return_debug_maskSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionaldouble >::type scale(scaleSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__scaled_dot_product_cudnn_attention_query_Tensor_key_Tensor_value_Tensor_attn_bias_Tensor_compute_log_sumexp_bool(query, key, value, attn_bias, compute_log_sumexp, dropout_p, is_causal, return_debug_mask, scale));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__flash_attention_forward_query_Tensor_key_Tensor_value_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_return_debug_mask_bool
-Rcpp::List cpp_torch_namespace__flash_attention_forward_query_Tensor_key_Tensor_value_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_return_debug_mask_bool(XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchTensor cum_seq_q, XPtrTorchTensor cum_seq_k, XPtrTorchint64_t max_q, XPtrTorchint64_t max_k, XPtrTorchdouble dropout_p, XPtrTorchbool is_causal, XPtrTorchbool return_debug_mask);
-RcppExport SEXP _torch_cpp_torch_namespace__flash_attention_forward_query_Tensor_key_Tensor_value_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_return_debug_mask_bool(SEXP querySEXP, SEXP keySEXP, SEXP valueSEXP, SEXP cum_seq_qSEXP, SEXP cum_seq_kSEXP, SEXP max_qSEXP, SEXP max_kSEXP, SEXP dropout_pSEXP, SEXP is_causalSEXP, SEXP return_debug_maskSEXP) {
+// cpp_torch_namespace__scaled_dot_product_cudnn_attention_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_philox_seed_Tensor_philox_offset_Tensor_attn_bias_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool
+Rcpp::List cpp_torch_namespace__scaled_dot_product_cudnn_attention_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_philox_seed_Tensor_philox_offset_Tensor_attn_bias_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool(XPtrTorchTensor grad_out, XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchTensor out, XPtrTorchTensor logsumexp, XPtrTorchTensor philox_seed, XPtrTorchTensor philox_offset, XPtrTorchTensor attn_bias, XPtrTorchTensor cum_seq_q, XPtrTorchTensor cum_seq_k, XPtrTorchint64_t max_q, XPtrTorchint64_t max_k, XPtrTorchdouble dropout_p, XPtrTorchbool is_causal, XPtrTorchOptionaldouble scale);
+RcppExport SEXP _torch_cpp_torch_namespace__scaled_dot_product_cudnn_attention_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_philox_seed_Tensor_philox_offset_Tensor_attn_bias_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool(SEXP grad_outSEXP, SEXP querySEXP, SEXP keySEXP, SEXP valueSEXP, SEXP outSEXP, SEXP logsumexpSEXP, SEXP philox_seedSEXP, SEXP philox_offsetSEXP, SEXP attn_biasSEXP, SEXP cum_seq_qSEXP, SEXP cum_seq_kSEXP, SEXP max_qSEXP, SEXP max_kSEXP, SEXP dropout_pSEXP, SEXP is_causalSEXP, SEXP scaleSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type grad_out(grad_outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type query(querySEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type key(keySEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type value(valueSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type logsumexp(logsumexpSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type philox_seed(philox_seedSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type philox_offset(philox_offsetSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type attn_bias(attn_biasSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type cum_seq_q(cum_seq_qSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type cum_seq_k(cum_seq_kSEXP);
     Rcpp::traits::input_parameter< XPtrTorchint64_t >::type max_q(max_qSEXP);
     Rcpp::traits::input_parameter< XPtrTorchint64_t >::type max_k(max_kSEXP);
     Rcpp::traits::input_parameter< XPtrTorchdouble >::type dropout_p(dropout_pSEXP);
     Rcpp::traits::input_parameter< XPtrTorchbool >::type is_causal(is_causalSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionaldouble >::type scale(scaleSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__scaled_dot_product_cudnn_attention_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_philox_seed_Tensor_philox_offset_Tensor_attn_bias_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool(grad_out, query, key, value, out, logsumexp, philox_seed, philox_offset, attn_bias, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, scale));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__flash_attention_forward_query_Tensor_key_Tensor_value_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_return_debug_mask_bool
+Rcpp::List cpp_torch_namespace__flash_attention_forward_query_Tensor_key_Tensor_value_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_return_debug_mask_bool(XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchOptionalTensor cum_seq_q, XPtrTorchOptionalTensor cum_seq_k, XPtrTorchint64_t max_q, XPtrTorchint64_t max_k, XPtrTorchdouble dropout_p, XPtrTorchbool is_causal, XPtrTorchbool return_debug_mask, XPtrTorchOptionaldouble scale, XPtrTorchoptional_int64_t window_size_left, XPtrTorchoptional_int64_t window_size_right, XPtrTorchOptionalTensor seqused_k, XPtrTorchOptionalTensor alibi_slopes);
+RcppExport SEXP _torch_cpp_torch_namespace__flash_attention_forward_query_Tensor_key_Tensor_value_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_return_debug_mask_bool(SEXP querySEXP, SEXP keySEXP, SEXP valueSEXP, SEXP cum_seq_qSEXP, SEXP cum_seq_kSEXP, SEXP max_qSEXP, SEXP max_kSEXP, SEXP dropout_pSEXP, SEXP is_causalSEXP, SEXP return_debug_maskSEXP, SEXP scaleSEXP, SEXP window_size_leftSEXP, SEXP window_size_rightSEXP, SEXP seqused_kSEXP, SEXP alibi_slopesSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type query(querySEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type key(keySEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type value(valueSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type cum_seq_q(cum_seq_qSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type cum_seq_k(cum_seq_kSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type max_q(max_qSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type max_k(max_kSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type dropout_p(dropout_pSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type is_causal(is_causalSEXP);
     Rcpp::traits::input_parameter< XPtrTorchbool >::type return_debug_mask(return_debug_maskSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__flash_attention_forward_query_Tensor_key_Tensor_value_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_return_debug_mask_bool(query, key, value, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, return_debug_mask));
+    Rcpp::traits::input_parameter< XPtrTorchOptionaldouble >::type scale(scaleSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchoptional_int64_t >::type window_size_left(window_size_leftSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchoptional_int64_t >::type window_size_right(window_size_rightSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type seqused_k(seqused_kSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type alibi_slopes(alibi_slopesSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__flash_attention_forward_query_Tensor_key_Tensor_value_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_return_debug_mask_bool(query, key, value, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, return_debug_mask, scale, window_size_left, window_size_right, seqused_k, alibi_slopes));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__flash_attention_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_philox_seed_int64_t_philox_offset_int64_t
-Rcpp::List cpp_torch_namespace__flash_attention_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_philox_seed_int64_t_philox_offset_int64_t(XPtrTorchTensor grad_out, XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchTensor out, XPtrTorchTensor logsumexp, XPtrTorchTensor cum_seq_q, XPtrTorchTensor cum_seq_k, XPtrTorchint64_t max_q, XPtrTorchint64_t max_k, XPtrTorchdouble dropout_p, XPtrTorchbool is_causal, XPtrTorchint64_t philox_seed, XPtrTorchint64_t philox_offset);
-RcppExport SEXP _torch_cpp_torch_namespace__flash_attention_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_philox_seed_int64_t_philox_offset_int64_t(SEXP grad_outSEXP, SEXP querySEXP, SEXP keySEXP, SEXP valueSEXP, SEXP outSEXP, SEXP logsumexpSEXP, SEXP cum_seq_qSEXP, SEXP cum_seq_kSEXP, SEXP max_qSEXP, SEXP max_kSEXP, SEXP dropout_pSEXP, SEXP is_causalSEXP, SEXP philox_seedSEXP, SEXP philox_offsetSEXP) {
+// cpp_torch_namespace__flash_attention_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_philox_seed_Tensor_philox_offset_Tensor
+Rcpp::List cpp_torch_namespace__flash_attention_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_philox_seed_Tensor_philox_offset_Tensor(XPtrTorchTensor grad_out, XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchTensor out, XPtrTorchTensor logsumexp, XPtrTorchTensor cum_seq_q, XPtrTorchTensor cum_seq_k, XPtrTorchint64_t max_q, XPtrTorchint64_t max_k, XPtrTorchdouble dropout_p, XPtrTorchbool is_causal, XPtrTorchTensor philox_seed, XPtrTorchTensor philox_offset, XPtrTorchOptionaldouble scale, XPtrTorchoptional_int64_t window_size_left, XPtrTorchoptional_int64_t window_size_right);
+RcppExport SEXP _torch_cpp_torch_namespace__flash_attention_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_philox_seed_Tensor_philox_offset_Tensor(SEXP grad_outSEXP, SEXP querySEXP, SEXP keySEXP, SEXP valueSEXP, SEXP outSEXP, SEXP logsumexpSEXP, SEXP cum_seq_qSEXP, SEXP cum_seq_kSEXP, SEXP max_qSEXP, SEXP max_kSEXP, SEXP dropout_pSEXP, SEXP is_causalSEXP, SEXP philox_seedSEXP, SEXP philox_offsetSEXP, SEXP scaleSEXP, SEXP window_size_leftSEXP, SEXP window_size_rightSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type grad_out(grad_outSEXP);
@@ -36120,43 +37691,64 @@ BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchint64_t >::type max_k(max_kSEXP);
     Rcpp::traits::input_parameter< XPtrTorchdouble >::type dropout_p(dropout_pSEXP);
     Rcpp::traits::input_parameter< XPtrTorchbool >::type is_causal(is_causalSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type philox_seed(philox_seedSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type philox_offset(philox_offsetSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__flash_attention_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_philox_seed_int64_t_philox_offset_int64_t(grad_out, query, key, value, out, logsumexp, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, philox_seed, philox_offset));
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type philox_seed(philox_seedSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type philox_offset(philox_offsetSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionaldouble >::type scale(scaleSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchoptional_int64_t >::type window_size_left(window_size_leftSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchoptional_int64_t >::type window_size_right(window_size_rightSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__flash_attention_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_philox_seed_Tensor_philox_offset_Tensor(grad_out, query, key, value, out, logsumexp, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, philox_seed, philox_offset, scale, window_size_left, window_size_right));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__efficient_attention_forward_query_Tensor_key_Tensor_value_Tensor_cu_seqlens_q_Tensor_cu_seqlens_k_Tensor_max_seqlen_q_int64_t
-Rcpp::List cpp_torch_namespace__efficient_attention_forward_query_Tensor_key_Tensor_value_Tensor_cu_seqlens_q_Tensor_cu_seqlens_k_Tensor_max_seqlen_q_int64_t(XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchOptionalTensor cu_seqlens_q, XPtrTorchOptionalTensor cu_seqlens_k, XPtrTorchoptional_int64_t max_seqlen_q, XPtrTorchbool compute_log_sumexp, XPtrTorchbool causal);
-RcppExport SEXP _torch_cpp_torch_namespace__efficient_attention_forward_query_Tensor_key_Tensor_value_Tensor_cu_seqlens_q_Tensor_cu_seqlens_k_Tensor_max_seqlen_q_int64_t(SEXP querySEXP, SEXP keySEXP, SEXP valueSEXP, SEXP cu_seqlens_qSEXP, SEXP cu_seqlens_kSEXP, SEXP max_seqlen_qSEXP, SEXP compute_log_sumexpSEXP, SEXP causalSEXP) {
+// cpp_torch_namespace__efficient_attention_forward_query_Tensor_key_Tensor_value_Tensor_bias_Tensor_cu_seqlens_q_Tensor_cu_seqlens_k_Tensor_max_seqlen_q_int64_t_max_seqlen_k_int64_t_dropout_p_double_custom_mask_type_int64_t
+Rcpp::List cpp_torch_namespace__efficient_attention_forward_query_Tensor_key_Tensor_value_Tensor_bias_Tensor_cu_seqlens_q_Tensor_cu_seqlens_k_Tensor_max_seqlen_q_int64_t_max_seqlen_k_int64_t_dropout_p_double_custom_mask_type_int64_t(XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchOptionalTensor bias, XPtrTorchOptionalTensor cu_seqlens_q, XPtrTorchOptionalTensor cu_seqlens_k, XPtrTorchoptional_int64_t max_seqlen_q, XPtrTorchoptional_int64_t max_seqlen_k, XPtrTorchdouble dropout_p, XPtrTorchint64_t custom_mask_type, XPtrTorchbool compute_log_sumexp, XPtrTorchOptionaldouble scale, XPtrTorchOptionalTensor seqlen_k, XPtrTorchoptional_int64_t window_size);
+RcppExport SEXP _torch_cpp_torch_namespace__efficient_attention_forward_query_Tensor_key_Tensor_value_Tensor_bias_Tensor_cu_seqlens_q_Tensor_cu_seqlens_k_Tensor_max_seqlen_q_int64_t_max_seqlen_k_int64_t_dropout_p_double_custom_mask_type_int64_t(SEXP querySEXP, SEXP keySEXP, SEXP valueSEXP, SEXP biasSEXP, SEXP cu_seqlens_qSEXP, SEXP cu_seqlens_kSEXP, SEXP max_seqlen_qSEXP, SEXP max_seqlen_kSEXP, SEXP dropout_pSEXP, SEXP custom_mask_typeSEXP, SEXP compute_log_sumexpSEXP, SEXP scaleSEXP, SEXP seqlen_kSEXP, SEXP window_sizeSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type query(querySEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type key(keySEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type value(valueSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type bias(biasSEXP);
     Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type cu_seqlens_q(cu_seqlens_qSEXP);
     Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type cu_seqlens_k(cu_seqlens_kSEXP);
     Rcpp::traits::input_parameter< XPtrTorchoptional_int64_t >::type max_seqlen_q(max_seqlen_qSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchoptional_int64_t >::type max_seqlen_k(max_seqlen_kSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type dropout_p(dropout_pSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type custom_mask_type(custom_mask_typeSEXP);
     Rcpp::traits::input_parameter< XPtrTorchbool >::type compute_log_sumexp(compute_log_sumexpSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchbool >::type causal(causalSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__efficient_attention_forward_query_Tensor_key_Tensor_value_Tensor_cu_seqlens_q_Tensor_cu_seqlens_k_Tensor_max_seqlen_q_int64_t(query, key, value, cu_seqlens_q, cu_seqlens_k, max_seqlen_q, compute_log_sumexp, causal));
+    Rcpp::traits::input_parameter< XPtrTorchOptionaldouble >::type scale(scaleSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type seqlen_k(seqlen_kSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchoptional_int64_t >::type window_size(window_sizeSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__efficient_attention_forward_query_Tensor_key_Tensor_value_Tensor_bias_Tensor_cu_seqlens_q_Tensor_cu_seqlens_k_Tensor_max_seqlen_q_int64_t_max_seqlen_k_int64_t_dropout_p_double_custom_mask_type_int64_t(query, key, value, bias, cu_seqlens_q, cu_seqlens_k, max_seqlen_q, max_seqlen_k, dropout_p, custom_mask_type, compute_log_sumexp, scale, seqlen_k, window_size));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__efficient_attention_backward_grad_out__Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor
-Rcpp::List cpp_torch_namespace__efficient_attention_backward_grad_out__Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor(XPtrTorchTensor grad_out_, XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchTensor out, XPtrTorchTensor logsumexp, XPtrTorchbool is_causal, XPtrTorchbool chunk_grad_outputs);
-RcppExport SEXP _torch_cpp_torch_namespace__efficient_attention_backward_grad_out__Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor(SEXP grad_out_SEXP, SEXP querySEXP, SEXP keySEXP, SEXP valueSEXP, SEXP outSEXP, SEXP logsumexpSEXP, SEXP is_causalSEXP, SEXP chunk_grad_outputsSEXP) {
+// cpp_torch_namespace__efficient_attention_backward_grad_out__Tensor_query_Tensor_key_Tensor_value_Tensor_bias_Tensor_out_Tensor_cu_seqlens_q_Tensor_cu_seqlens_k_Tensor_max_seqlen_q_int64_t_max_seqlen_k_int64_t_logsumexp_Tensor_dropout_p_double_philox_seed_Tensor_philox_offset_Tensor_custom_mask_type_int64_t_bias_requires_grad_bool
+Rcpp::List cpp_torch_namespace__efficient_attention_backward_grad_out__Tensor_query_Tensor_key_Tensor_value_Tensor_bias_Tensor_out_Tensor_cu_seqlens_q_Tensor_cu_seqlens_k_Tensor_max_seqlen_q_int64_t_max_seqlen_k_int64_t_logsumexp_Tensor_dropout_p_double_philox_seed_Tensor_philox_offset_Tensor_custom_mask_type_int64_t_bias_requires_grad_bool(XPtrTorchTensor grad_out_, XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchOptionalTensor bias, XPtrTorchTensor out, XPtrTorchOptionalTensor cu_seqlens_q, XPtrTorchOptionalTensor cu_seqlens_k, XPtrTorchint64_t max_seqlen_q, XPtrTorchint64_t max_seqlen_k, XPtrTorchTensor logsumexp, XPtrTorchdouble dropout_p, XPtrTorchTensor philox_seed, XPtrTorchTensor philox_offset, XPtrTorchint64_t custom_mask_type, XPtrTorchbool bias_requires_grad, XPtrTorchOptionaldouble scale, XPtrTorchoptional_int64_t num_splits_key, XPtrTorchoptional_int64_t window_size, XPtrTorchbool shared_storage_dqdkdv);
+RcppExport SEXP _torch_cpp_torch_namespace__efficient_attention_backward_grad_out__Tensor_query_Tensor_key_Tensor_value_Tensor_bias_Tensor_out_Tensor_cu_seqlens_q_Tensor_cu_seqlens_k_Tensor_max_seqlen_q_int64_t_max_seqlen_k_int64_t_logsumexp_Tensor_dropout_p_double_philox_seed_Tensor_philox_offset_Tensor_custom_mask_type_int64_t_bias_requires_grad_bool(SEXP grad_out_SEXP, SEXP querySEXP, SEXP keySEXP, SEXP valueSEXP, SEXP biasSEXP, SEXP outSEXP, SEXP cu_seqlens_qSEXP, SEXP cu_seqlens_kSEXP, SEXP max_seqlen_qSEXP, SEXP max_seqlen_kSEXP, SEXP logsumexpSEXP, SEXP dropout_pSEXP, SEXP philox_seedSEXP, SEXP philox_offsetSEXP, SEXP custom_mask_typeSEXP, SEXP bias_requires_gradSEXP, SEXP scaleSEXP, SEXP num_splits_keySEXP, SEXP window_sizeSEXP, SEXP shared_storage_dqdkdvSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type grad_out_(grad_out_SEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type query(querySEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type key(keySEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type value(valueSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type bias(biasSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type cu_seqlens_q(cu_seqlens_qSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type cu_seqlens_k(cu_seqlens_kSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type max_seqlen_q(max_seqlen_qSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type max_seqlen_k(max_seqlen_kSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type logsumexp(logsumexpSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchbool >::type is_causal(is_causalSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchbool >::type chunk_grad_outputs(chunk_grad_outputsSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__efficient_attention_backward_grad_out__Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor(grad_out_, query, key, value, out, logsumexp, is_causal, chunk_grad_outputs));
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type dropout_p(dropout_pSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type philox_seed(philox_seedSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type philox_offset(philox_offsetSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type custom_mask_type(custom_mask_typeSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type bias_requires_grad(bias_requires_gradSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionaldouble >::type scale(scaleSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchoptional_int64_t >::type num_splits_key(num_splits_keySEXP);
+    Rcpp::traits::input_parameter< XPtrTorchoptional_int64_t >::type window_size(window_sizeSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type shared_storage_dqdkdv(shared_storage_dqdkdvSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__efficient_attention_backward_grad_out__Tensor_query_Tensor_key_Tensor_value_Tensor_bias_Tensor_out_Tensor_cu_seqlens_q_Tensor_cu_seqlens_k_Tensor_max_seqlen_q_int64_t_max_seqlen_k_int64_t_logsumexp_Tensor_dropout_p_double_philox_seed_Tensor_philox_offset_Tensor_custom_mask_type_int64_t_bias_requires_grad_bool(grad_out_, query, key, value, bias, out, cu_seqlens_q, cu_seqlens_k, max_seqlen_q, max_seqlen_k, logsumexp, dropout_p, philox_seed, philox_offset, custom_mask_type, bias_requires_grad, scale, num_splits_key, window_size, shared_storage_dqdkdv));
     return rcpp_result_gen;
 END_RCPP
 }
@@ -36173,6 +37765,19 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_namespace__fill_mem_eff_dropout_mask__self_Tensor_dropout_p_double_seed_int64_t_offset_int64_t
+XPtrTorchTensor cpp_torch_namespace__fill_mem_eff_dropout_mask__self_Tensor_dropout_p_double_seed_int64_t_offset_int64_t(XPtrTorchTensor self, XPtrTorchdouble dropout_p, XPtrTorchint64_t seed, XPtrTorchint64_t offset);
+RcppExport SEXP _torch_cpp_torch_namespace__fill_mem_eff_dropout_mask__self_Tensor_dropout_p_double_seed_int64_t_offset_int64_t(SEXP selfSEXP, SEXP dropout_pSEXP, SEXP seedSEXP, SEXP offsetSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type dropout_p(dropout_pSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type seed(seedSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type offset(offsetSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__fill_mem_eff_dropout_mask__self_Tensor_dropout_p_double_seed_int64_t_offset_int64_t(self, dropout_p, seed, offset));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_namespace__triton_multi_head_attention_query_Tensor_key_Tensor_value_Tensor_embed_dim_int64_t_num_head_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor
 XPtrTorchTensor cpp_torch_namespace__triton_multi_head_attention_query_Tensor_key_Tensor_value_Tensor_embed_dim_int64_t_num_head_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor(XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchint64_t embed_dim, XPtrTorchint64_t num_head, XPtrTorchTensor qkv_weight, XPtrTorchTensor qkv_bias, XPtrTorchTensor proj_weight, XPtrTorchTensor proj_bias, XPtrTorchOptionalTensor mask);
 RcppExport SEXP _torch_cpp_torch_namespace__triton_multi_head_attention_query_Tensor_key_Tensor_value_Tensor_embed_dim_int64_t_num_head_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor(SEXP querySEXP, SEXP keySEXP, SEXP valueSEXP, SEXP embed_dimSEXP, SEXP num_headSEXP, SEXP qkv_weightSEXP, SEXP qkv_biasSEXP, SEXP proj_weightSEXP, SEXP proj_biasSEXP, SEXP maskSEXP) {
@@ -36213,59 +37818,6 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__transformer_decoder_only_layer_fwd_src_Tensor_embed_dim_int64_t_num_heads_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor_use_gelu_bool_norm_first_bool_eps_double_norm_weight_1_Tensor_norm_bias_1_Tensor_norm_weight_2_Tensor_norm_bias_2_Tensor_ffn_weight_1_Tensor_ffn_bias_1_Tensor_ffn_weight_2_Tensor_ffn_bias_2_Tensor
-Rcpp::List cpp_torch_namespace__transformer_decoder_only_layer_fwd_src_Tensor_embed_dim_int64_t_num_heads_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor_use_gelu_bool_norm_first_bool_eps_double_norm_weight_1_Tensor_norm_bias_1_Tensor_norm_weight_2_Tensor_norm_bias_2_Tensor_ffn_weight_1_Tensor_ffn_bias_1_Tensor_ffn_weight_2_Tensor_ffn_bias_2_Tensor(XPtrTorchTensor src, XPtrTorchint64_t embed_dim, XPtrTorchint64_t num_heads, XPtrTorchTensor qkv_weight, XPtrTorchTensor qkv_bias, XPtrTorchTensor proj_weight, XPtrTorchTensor proj_bias, XPtrTorchbool use_gelu, XPtrTorchbool norm_first, XPtrTorchdouble eps, XPtrTorchTensor norm_weight_1, XPtrTorchTensor norm_bias_1, XPtrTorchTensor norm_weight_2, XPtrTorchTensor norm_bias_2, XPtrTorchTensor ffn_weight_1, XPtrTorchTensor ffn_bias_1, XPtrTorchTensor ffn_weight_2, XPtrTorchTensor ffn_bias_2, XPtrTorchOptionalTensor mask, XPtrTorchOptionalTensor incr_key, XPtrTorchOptionalTensor incr_value);
-RcppExport SEXP _torch_cpp_torch_namespace__transformer_decoder_only_layer_fwd_src_Tensor_embed_dim_int64_t_num_heads_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor_use_gelu_bool_norm_first_bool_eps_double_norm_weight_1_Tensor_norm_bias_1_Tensor_norm_weight_2_Tensor_norm_bias_2_Tensor_ffn_weight_1_Tensor_ffn_bias_1_Tensor_ffn_weight_2_Tensor_ffn_bias_2_Tensor(SEXP srcSEXP, SEXP embed_dimSEXP, SEXP num_headsSEXP, SEXP qkv_weightSEXP, SEXP qkv_biasSEXP, SEXP proj_weightSEXP, SEXP proj_biasSEXP, SEXP use_geluSEXP, SEXP norm_firstSEXP, SEXP epsSEXP, SEXP norm_weight_1SEXP, SEXP norm_bias_1SEXP, SEXP norm_weight_2SEXP, SEXP norm_bias_2SEXP, SEXP ffn_weight_1SEXP, SEXP ffn_bias_1SEXP, SEXP ffn_weight_2SEXP, SEXP ffn_bias_2SEXP, SEXP maskSEXP, SEXP incr_keySEXP, SEXP incr_valueSEXP) {
-BEGIN_RCPP
-    Rcpp::RObject rcpp_result_gen;
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type src(srcSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type embed_dim(embed_dimSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type num_heads(num_headsSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type qkv_weight(qkv_weightSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type qkv_bias(qkv_biasSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type proj_weight(proj_weightSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type proj_bias(proj_biasSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchbool >::type use_gelu(use_geluSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchbool >::type norm_first(norm_firstSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchdouble >::type eps(epsSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type norm_weight_1(norm_weight_1SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type norm_bias_1(norm_bias_1SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type norm_weight_2(norm_weight_2SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type norm_bias_2(norm_bias_2SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type ffn_weight_1(ffn_weight_1SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type ffn_bias_1(ffn_bias_1SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type ffn_weight_2(ffn_weight_2SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type ffn_bias_2(ffn_bias_2SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type mask(maskSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type incr_key(incr_keySEXP);
-    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type incr_value(incr_valueSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__transformer_decoder_only_layer_fwd_src_Tensor_embed_dim_int64_t_num_heads_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor_use_gelu_bool_norm_first_bool_eps_double_norm_weight_1_Tensor_norm_bias_1_Tensor_norm_weight_2_Tensor_norm_bias_2_Tensor_ffn_weight_1_Tensor_ffn_bias_1_Tensor_ffn_weight_2_Tensor_ffn_bias_2_Tensor(src, embed_dim, num_heads, qkv_weight, qkv_bias, proj_weight, proj_bias, use_gelu, norm_first, eps, norm_weight_1, norm_bias_1, norm_weight_2, norm_bias_2, ffn_weight_1, ffn_bias_1, ffn_weight_2, ffn_bias_2, mask, incr_key, incr_value));
-    return rcpp_result_gen;
-END_RCPP
-}
-// cpp_torch_namespace__native_decoder_only_multi_head_attention_query_Tensor_key_Tensor_value_Tensor_embed_dim_int64_t_num_head_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor
-Rcpp::List cpp_torch_namespace__native_decoder_only_multi_head_attention_query_Tensor_key_Tensor_value_Tensor_embed_dim_int64_t_num_head_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor(XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchint64_t embed_dim, XPtrTorchint64_t num_head, XPtrTorchTensor qkv_weight, XPtrTorchTensor qkv_bias, XPtrTorchTensor proj_weight, XPtrTorchTensor proj_bias, XPtrTorchOptionalTensor mask, XPtrTorchOptionalTensor incr_key, XPtrTorchOptionalTensor incr_value, XPtrTorchbool need_weights, XPtrTorchbool average_attn_weights);
-RcppExport SEXP _torch_cpp_torch_namespace__native_decoder_only_multi_head_attention_query_Tensor_key_Tensor_value_Tensor_embed_dim_int64_t_num_head_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor(SEXP querySEXP, SEXP keySEXP, SEXP valueSEXP, SEXP embed_dimSEXP, SEXP num_headSEXP, SEXP qkv_weightSEXP, SEXP qkv_biasSEXP, SEXP proj_weightSEXP, SEXP proj_biasSEXP, SEXP maskSEXP, SEXP incr_keySEXP, SEXP incr_valueSEXP, SEXP need_weightsSEXP, SEXP average_attn_weightsSEXP) {
-BEGIN_RCPP
-    Rcpp::RObject rcpp_result_gen;
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type query(querySEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type key(keySEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type value(valueSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type embed_dim(embed_dimSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type num_head(num_headSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type qkv_weight(qkv_weightSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type qkv_bias(qkv_biasSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type proj_weight(proj_weightSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type proj_bias(proj_biasSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type mask(maskSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type incr_key(incr_keySEXP);
-    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type incr_value(incr_valueSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchbool >::type need_weights(need_weightsSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchbool >::type average_attn_weights(average_attn_weightsSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__native_decoder_only_multi_head_attention_query_Tensor_key_Tensor_value_Tensor_embed_dim_int64_t_num_head_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor(query, key, value, embed_dim, num_head, qkv_weight, qkv_bias, proj_weight, proj_bias, mask, incr_key, incr_value, need_weights, average_attn_weights));
-    return rcpp_result_gen;
-END_RCPP
-}
 // cpp_torch_namespace_special_bessel_j0_self_Tensor
 XPtrTorchTensor cpp_torch_namespace_special_bessel_j0_self_Tensor(XPtrTorchTensor self);
 RcppExport SEXP _torch_cpp_torch_namespace_special_bessel_j0_self_Tensor(SEXP selfSEXP) {
@@ -37361,6 +38913,29 @@ BEGIN_RCPP
     return R_NilValue;
 END_RCPP
 }
+// cpp_torch_namespace__fused_adam__self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool
+void cpp_torch_namespace__fused_adam__self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool(XPtrTorchTensorList self, XPtrTorchTensorList grads, XPtrTorchTensorList exp_avgs, XPtrTorchTensorList exp_avg_sqs, XPtrTorchTensorList max_exp_avg_sqs, XPtrTorchTensorList state_steps, XPtrTorchTensor lr, XPtrTorchdouble beta1, XPtrTorchdouble beta2, XPtrTorchdouble weight_decay, XPtrTorchdouble eps, XPtrTorchbool amsgrad, XPtrTorchbool maximize, XPtrTorchOptionalTensor grad_scale, XPtrTorchOptionalTensor found_inf);
+RcppExport SEXP _torch_cpp_torch_namespace__fused_adam__self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool(SEXP selfSEXP, SEXP gradsSEXP, SEXP exp_avgsSEXP, SEXP exp_avg_sqsSEXP, SEXP max_exp_avg_sqsSEXP, SEXP state_stepsSEXP, SEXP lrSEXP, SEXP beta1SEXP, SEXP beta2SEXP, SEXP weight_decaySEXP, SEXP epsSEXP, SEXP amsgradSEXP, SEXP maximizeSEXP, SEXP grad_scaleSEXP, SEXP found_infSEXP) {
+BEGIN_RCPP
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type grads(gradsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type exp_avgs(exp_avgsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type exp_avg_sqs(exp_avg_sqsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type max_exp_avg_sqs(max_exp_avg_sqsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type state_steps(state_stepsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type lr(lrSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type beta1(beta1SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type beta2(beta2SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type weight_decay(weight_decaySEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type eps(epsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type amsgrad(amsgradSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type maximize(maximizeSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type grad_scale(grad_scaleSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type found_inf(found_infSEXP);
+    cpp_torch_namespace__fused_adam__self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool(self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf);
+    return R_NilValue;
+END_RCPP
+}
 // cpp_torch_namespace__fused_adamw__self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_double_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool
 void cpp_torch_namespace__fused_adamw__self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_double_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool(XPtrTorchTensorList self, XPtrTorchTensorList grads, XPtrTorchTensorList exp_avgs, XPtrTorchTensorList exp_avg_sqs, XPtrTorchTensorList max_exp_avg_sqs, XPtrTorchTensorList state_steps, XPtrTorchdouble lr, XPtrTorchdouble beta1, XPtrTorchdouble beta2, XPtrTorchdouble weight_decay, XPtrTorchdouble eps, XPtrTorchbool amsgrad, XPtrTorchbool maximize, XPtrTorchOptionalTensor grad_scale, XPtrTorchOptionalTensor found_inf);
 RcppExport SEXP _torch_cpp_torch_namespace__fused_adamw__self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_double_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool(SEXP selfSEXP, SEXP gradsSEXP, SEXP exp_avgsSEXP, SEXP exp_avg_sqsSEXP, SEXP max_exp_avg_sqsSEXP, SEXP state_stepsSEXP, SEXP lrSEXP, SEXP beta1SEXP, SEXP beta2SEXP, SEXP weight_decaySEXP, SEXP epsSEXP, SEXP amsgradSEXP, SEXP maximizeSEXP, SEXP grad_scaleSEXP, SEXP found_infSEXP) {
@@ -37384,6 +38959,98 @@ BEGIN_RCPP
     return R_NilValue;
 END_RCPP
 }
+// cpp_torch_namespace__fused_adamw__self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool
+void cpp_torch_namespace__fused_adamw__self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool(XPtrTorchTensorList self, XPtrTorchTensorList grads, XPtrTorchTensorList exp_avgs, XPtrTorchTensorList exp_avg_sqs, XPtrTorchTensorList max_exp_avg_sqs, XPtrTorchTensorList state_steps, XPtrTorchTensor lr, XPtrTorchdouble beta1, XPtrTorchdouble beta2, XPtrTorchdouble weight_decay, XPtrTorchdouble eps, XPtrTorchbool amsgrad, XPtrTorchbool maximize, XPtrTorchOptionalTensor grad_scale, XPtrTorchOptionalTensor found_inf);
+RcppExport SEXP _torch_cpp_torch_namespace__fused_adamw__self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool(SEXP selfSEXP, SEXP gradsSEXP, SEXP exp_avgsSEXP, SEXP exp_avg_sqsSEXP, SEXP max_exp_avg_sqsSEXP, SEXP state_stepsSEXP, SEXP lrSEXP, SEXP beta1SEXP, SEXP beta2SEXP, SEXP weight_decaySEXP, SEXP epsSEXP, SEXP amsgradSEXP, SEXP maximizeSEXP, SEXP grad_scaleSEXP, SEXP found_infSEXP) {
+BEGIN_RCPP
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type grads(gradsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type exp_avgs(exp_avgsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type exp_avg_sqs(exp_avg_sqsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type max_exp_avg_sqs(max_exp_avg_sqsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type state_steps(state_stepsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type lr(lrSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type beta1(beta1SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type beta2(beta2SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type weight_decay(weight_decaySEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type eps(epsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type amsgrad(amsgradSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type maximize(maximizeSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type grad_scale(grad_scaleSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type found_inf(found_infSEXP);
+    cpp_torch_namespace__fused_adamw__self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool(self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf);
+    return R_NilValue;
+END_RCPP
+}
+// cpp_torch_namespace__fused_sgd__self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_double_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool
+void cpp_torch_namespace__fused_sgd__self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_double_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool(XPtrTorchTensorList self, XPtrTorchTensorList grads, XPtrTorchTensorList momentum_buffer_list, XPtrTorchdouble weight_decay, XPtrTorchdouble momentum, XPtrTorchdouble lr, XPtrTorchdouble dampening, XPtrTorchbool nesterov, XPtrTorchbool maximize, XPtrTorchbool is_first_step, XPtrTorchOptionalTensor grad_scale, XPtrTorchOptionalTensor found_inf);
+RcppExport SEXP _torch_cpp_torch_namespace__fused_sgd__self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_double_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool(SEXP selfSEXP, SEXP gradsSEXP, SEXP momentum_buffer_listSEXP, SEXP weight_decaySEXP, SEXP momentumSEXP, SEXP lrSEXP, SEXP dampeningSEXP, SEXP nesterovSEXP, SEXP maximizeSEXP, SEXP is_first_stepSEXP, SEXP grad_scaleSEXP, SEXP found_infSEXP) {
+BEGIN_RCPP
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type grads(gradsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type momentum_buffer_list(momentum_buffer_listSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type weight_decay(weight_decaySEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type momentum(momentumSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type lr(lrSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type dampening(dampeningSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type nesterov(nesterovSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type maximize(maximizeSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type is_first_step(is_first_stepSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type grad_scale(grad_scaleSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type found_inf(found_infSEXP);
+    cpp_torch_namespace__fused_sgd__self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_double_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool(self, grads, momentum_buffer_list, weight_decay, momentum, lr, dampening, nesterov, maximize, is_first_step, grad_scale, found_inf);
+    return R_NilValue;
+END_RCPP
+}
+// cpp_torch_namespace__fused_sgd__self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_Tensor_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool
+void cpp_torch_namespace__fused_sgd__self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_Tensor_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool(XPtrTorchTensorList self, XPtrTorchTensorList grads, XPtrTorchTensorList momentum_buffer_list, XPtrTorchdouble weight_decay, XPtrTorchdouble momentum, XPtrTorchTensor lr, XPtrTorchdouble dampening, XPtrTorchbool nesterov, XPtrTorchbool maximize, XPtrTorchbool is_first_step, XPtrTorchOptionalTensor grad_scale, XPtrTorchOptionalTensor found_inf);
+RcppExport SEXP _torch_cpp_torch_namespace__fused_sgd__self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_Tensor_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool(SEXP selfSEXP, SEXP gradsSEXP, SEXP momentum_buffer_listSEXP, SEXP weight_decaySEXP, SEXP momentumSEXP, SEXP lrSEXP, SEXP dampeningSEXP, SEXP nesterovSEXP, SEXP maximizeSEXP, SEXP is_first_stepSEXP, SEXP grad_scaleSEXP, SEXP found_infSEXP) {
+BEGIN_RCPP
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type grads(gradsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type momentum_buffer_list(momentum_buffer_listSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type weight_decay(weight_decaySEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type momentum(momentumSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type lr(lrSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type dampening(dampeningSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type nesterov(nesterovSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type maximize(maximizeSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type is_first_step(is_first_stepSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type grad_scale(grad_scaleSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type found_inf(found_infSEXP);
+    cpp_torch_namespace__fused_sgd__self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_Tensor_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool(self, grads, momentum_buffer_list, weight_decay, momentum, lr, dampening, nesterov, maximize, is_first_step, grad_scale, found_inf);
+    return R_NilValue;
+END_RCPP
+}
+// cpp_torch_namespace__fused_adagrad__self_TensorList_grads_TensorList_state_sums_TensorList_state_steps_TensorList_lr_double_lr_decay_double_weight_decay_double_eps_double_maximize_bool
+void cpp_torch_namespace__fused_adagrad__self_TensorList_grads_TensorList_state_sums_TensorList_state_steps_TensorList_lr_double_lr_decay_double_weight_decay_double_eps_double_maximize_bool(XPtrTorchTensorList self, XPtrTorchTensorList grads, XPtrTorchTensorList state_sums, XPtrTorchTensorList state_steps, XPtrTorchdouble lr, XPtrTorchdouble lr_decay, XPtrTorchdouble weight_decay, XPtrTorchdouble eps, XPtrTorchbool maximize, XPtrTorchOptionalTensor grad_scale, XPtrTorchOptionalTensor found_inf);
+RcppExport SEXP _torch_cpp_torch_namespace__fused_adagrad__self_TensorList_grads_TensorList_state_sums_TensorList_state_steps_TensorList_lr_double_lr_decay_double_weight_decay_double_eps_double_maximize_bool(SEXP selfSEXP, SEXP gradsSEXP, SEXP state_sumsSEXP, SEXP state_stepsSEXP, SEXP lrSEXP, SEXP lr_decaySEXP, SEXP weight_decaySEXP, SEXP epsSEXP, SEXP maximizeSEXP, SEXP grad_scaleSEXP, SEXP found_infSEXP) {
+BEGIN_RCPP
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type grads(gradsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type state_sums(state_sumsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type state_steps(state_stepsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type lr(lrSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type lr_decay(lr_decaySEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type weight_decay(weight_decaySEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type eps(epsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type maximize(maximizeSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type grad_scale(grad_scaleSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type found_inf(found_infSEXP);
+    cpp_torch_namespace__fused_adagrad__self_TensorList_grads_TensorList_state_sums_TensorList_state_steps_TensorList_lr_double_lr_decay_double_weight_decay_double_eps_double_maximize_bool(self, grads, state_sums, state_steps, lr, lr_decay, weight_decay, eps, maximize, grad_scale, found_inf);
+    return R_NilValue;
+END_RCPP
+}
+// cpp_torch_namespace__propagate_xla_data_input_Tensor_output_Tensor
+void cpp_torch_namespace__propagate_xla_data_input_Tensor_output_Tensor(XPtrTorchTensor input, XPtrTorchTensor output);
+RcppExport SEXP _torch_cpp_torch_namespace__propagate_xla_data_input_Tensor_output_Tensor(SEXP inputSEXP, SEXP outputSEXP) {
+BEGIN_RCPP
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type input(inputSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type output(outputSEXP);
+    cpp_torch_namespace__propagate_xla_data_input_Tensor_output_Tensor(input, output);
+    return R_NilValue;
+END_RCPP
+}
 // cpp_torch_namespace__new_zeros_with_same_feature_meta_out_out_Tensor_self_Tensor_other_Tensor
 XPtrTorchTensor cpp_torch_namespace__new_zeros_with_same_feature_meta_out_out_Tensor_self_Tensor_other_Tensor(XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchTensor other, XPtrTorchint64_t self_num_batch_dims);
 RcppExport SEXP _torch_cpp_torch_namespace__new_zeros_with_same_feature_meta_out_out_Tensor_self_Tensor_other_Tensor(SEXP outSEXP, SEXP selfSEXP, SEXP otherSEXP, SEXP self_num_batch_dimsSEXP) {
@@ -37615,6 +39282,18 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_namespace__test_functorch_fallback_out_out_Tensor_self_Tensor_other_Tensor
+XPtrTorchTensor cpp_torch_namespace__test_functorch_fallback_out_out_Tensor_self_Tensor_other_Tensor(XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchTensor other);
+RcppExport SEXP _torch_cpp_torch_namespace__test_functorch_fallback_out_out_Tensor_self_Tensor_other_Tensor(SEXP outSEXP, SEXP selfSEXP, SEXP otherSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type other(otherSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__test_functorch_fallback_out_out_Tensor_self_Tensor_other_Tensor(out, self, other));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_namespace_bartlett_window_out_out_Tensor_window_length_int64_t
 XPtrTorchTensor cpp_torch_namespace_bartlett_window_out_out_Tensor_window_length_int64_t(XPtrTorchTensor out, XPtrTorchint64_t window_length);
 RcppExport SEXP _torch_cpp_torch_namespace_bartlett_window_out_out_Tensor_window_length_int64_t(SEXP outSEXP, SEXP window_lengthSEXP) {
@@ -38023,25 +39702,6 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace_cudnn_convolution_out_out_Tensor_self_Tensor_weight_Tensor_padding_IntArrayRef_stride_IntArrayRef_dilation_IntArrayRef_groups_int64_t_benchmark_bool_deterministic_bool_allow_tf32_bool
-XPtrTorchTensor cpp_torch_namespace_cudnn_convolution_out_out_Tensor_self_Tensor_weight_Tensor_padding_IntArrayRef_stride_IntArrayRef_dilation_IntArrayRef_groups_int64_t_benchmark_bool_deterministic_bool_allow_tf32_bool(XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchTensor weight, XPtrTorchIntArrayRef padding, XPtrTorchIntArrayRef stride, XPtrTorchIntArrayRef dilation, XPtrTorchint64_t groups, XPtrTorchbool benchmark, XPtrTorchbool deterministic, XPtrTorchbool allow_tf32);
-RcppExport SEXP _torch_cpp_torch_namespace_cudnn_convolution_out_out_Tensor_self_Tensor_weight_Tensor_padding_IntArrayRef_stride_IntArrayRef_dilation_IntArrayRef_groups_int64_t_benchmark_bool_deterministic_bool_allow_tf32_bool(SEXP outSEXP, SEXP selfSEXP, SEXP weightSEXP, SEXP paddingSEXP, SEXP strideSEXP, SEXP dilationSEXP, SEXP groupsSEXP, SEXP benchmarkSEXP, SEXP deterministicSEXP, SEXP allow_tf32SEXP) {
-BEGIN_RCPP
-    Rcpp::RObject rcpp_result_gen;
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type weight(weightSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchIntArrayRef >::type padding(paddingSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchIntArrayRef >::type stride(strideSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchIntArrayRef >::type dilation(dilationSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type groups(groupsSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchbool >::type benchmark(benchmarkSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchbool >::type deterministic(deterministicSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchbool >::type allow_tf32(allow_tf32SEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_cudnn_convolution_out_out_Tensor_self_Tensor_weight_Tensor_padding_IntArrayRef_stride_IntArrayRef_dilation_IntArrayRef_groups_int64_t_benchmark_bool_deterministic_bool_allow_tf32_bool(out, self, weight, padding, stride, dilation, groups, benchmark, deterministic, allow_tf32));
-    return rcpp_result_gen;
-END_RCPP
-}
 // cpp_torch_namespace_cudnn_convolution_transpose_out_out_Tensor_self_Tensor_weight_Tensor_padding_IntArrayRef_output_padding_IntArrayRef_stride_IntArrayRef_dilation_IntArrayRef_groups_int64_t_benchmark_bool_deterministic_bool_allow_tf32_bool
 XPtrTorchTensor cpp_torch_namespace_cudnn_convolution_transpose_out_out_Tensor_self_Tensor_weight_Tensor_padding_IntArrayRef_output_padding_IntArrayRef_stride_IntArrayRef_dilation_IntArrayRef_groups_int64_t_benchmark_bool_deterministic_bool_allow_tf32_bool(XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchTensor weight, XPtrTorchIntArrayRef padding, XPtrTorchIntArrayRef output_padding, XPtrTorchIntArrayRef stride, XPtrTorchIntArrayRef dilation, XPtrTorchint64_t groups, XPtrTorchbool benchmark, XPtrTorchbool deterministic, XPtrTorchbool allow_tf32);
 RcppExport SEXP _torch_cpp_torch_namespace_cudnn_convolution_transpose_out_out_Tensor_self_Tensor_weight_Tensor_padding_IntArrayRef_output_padding_IntArrayRef_stride_IntArrayRef_dilation_IntArrayRef_groups_int64_t_benchmark_bool_deterministic_bool_allow_tf32_bool(SEXP outSEXP, SEXP selfSEXP, SEXP weightSEXP, SEXP paddingSEXP, SEXP output_paddingSEXP, SEXP strideSEXP, SEXP dilationSEXP, SEXP groupsSEXP, SEXP benchmarkSEXP, SEXP deterministicSEXP, SEXP allow_tf32SEXP) {
@@ -38419,6 +40079,18 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_namespace_empty_permuted_out_out_Tensor_size_IntArrayRef_physical_layout_IntArrayRef
+XPtrTorchTensor cpp_torch_namespace_empty_permuted_out_out_Tensor_size_IntArrayRef_physical_layout_IntArrayRef(XPtrTorchTensor out, XPtrTorchIntArrayRef size, XPtrTorchIntArrayRef physical_layout);
+RcppExport SEXP _torch_cpp_torch_namespace_empty_permuted_out_out_Tensor_size_IntArrayRef_physical_layout_IntArrayRef(SEXP outSEXP, SEXP sizeSEXP, SEXP physical_layoutSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchIntArrayRef >::type size(sizeSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchIntArrayRef >::type physical_layout(physical_layoutSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_empty_permuted_out_out_Tensor_size_IntArrayRef_physical_layout_IntArrayRef(out, size, physical_layout));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_namespace_new_empty_out_out_Tensor_self_Tensor_size_IntArrayRef
 XPtrTorchTensor cpp_torch_namespace_new_empty_out_out_Tensor_self_Tensor_size_IntArrayRef(XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchIntArrayRef size);
 RcppExport SEXP _torch_cpp_torch_namespace_new_empty_out_out_Tensor_self_Tensor_size_IntArrayRef(SEXP outSEXP, SEXP selfSEXP, SEXP sizeSEXP) {
@@ -38621,6 +40293,18 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_namespace_floor_divide_out_out_Tensor_self_Tensor_other_Scalar
+XPtrTorchTensor cpp_torch_namespace_floor_divide_out_out_Tensor_self_Tensor_other_Scalar(XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchScalar other);
+RcppExport SEXP _torch_cpp_torch_namespace_floor_divide_out_out_Tensor_self_Tensor_other_Scalar(SEXP outSEXP, SEXP selfSEXP, SEXP otherSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type other(otherSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_floor_divide_out_out_Tensor_self_Tensor_other_Scalar(out, self, other));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_namespace_full_out_out_Tensor_size_IntArrayRef_fill_value_Scalar_names_DimnameList
 XPtrTorchTensor cpp_torch_namespace_full_out_out_Tensor_size_IntArrayRef_fill_value_Scalar_names_DimnameList(XPtrTorchTensor out, XPtrTorchIntArrayRef size, XPtrTorchScalar fill_value, XPtrTorchOptionalDimnameList names);
 RcppExport SEXP _torch_cpp_torch_namespace_full_out_out_Tensor_size_IntArrayRef_fill_value_Scalar_names_DimnameList(SEXP outSEXP, SEXP sizeSEXP, SEXP fill_valueSEXP, SEXP namesSEXP) {
@@ -38892,9 +40576,9 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace_index_put_out_out_Tensor_self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor
-XPtrTorchTensor cpp_torch_namespace_index_put_out_out_Tensor_self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor(XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchOptionalIndexTensorList indices, XPtrTorchTensor values, XPtrTorchbool accumulate);
-RcppExport SEXP _torch_cpp_torch_namespace_index_put_out_out_Tensor_self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor(SEXP outSEXP, SEXP selfSEXP, SEXP indicesSEXP, SEXP valuesSEXP, SEXP accumulateSEXP) {
+// cpp_torch_namespace_index_put_out_out_Tensor_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor
+XPtrTorchTensor cpp_torch_namespace_index_put_out_out_Tensor_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor(XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchOptionalIndexTensorList indices, XPtrTorchTensor values, XPtrTorchbool accumulate);
+RcppExport SEXP _torch_cpp_torch_namespace_index_put_out_out_Tensor_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor(SEXP outSEXP, SEXP selfSEXP, SEXP indicesSEXP, SEXP valuesSEXP, SEXP accumulateSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
@@ -38902,13 +40586,13 @@ BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchOptionalIndexTensorList >::type indices(indicesSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type values(valuesSEXP);
     Rcpp::traits::input_parameter< XPtrTorchbool >::type accumulate(accumulateSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_index_put_out_out_Tensor_self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor(out, self, indices, values, accumulate));
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_index_put_out_out_Tensor_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor(out, self, indices, values, accumulate));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__index_put_impl_out_out_Tensor_self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor
-XPtrTorchTensor cpp_torch_namespace__index_put_impl_out_out_Tensor_self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor(XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchOptionalIndexTensorList indices, XPtrTorchTensor values, XPtrTorchbool accumulate, XPtrTorchbool unsafe);
-RcppExport SEXP _torch_cpp_torch_namespace__index_put_impl_out_out_Tensor_self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor(SEXP outSEXP, SEXP selfSEXP, SEXP indicesSEXP, SEXP valuesSEXP, SEXP accumulateSEXP, SEXP unsafeSEXP) {
+// cpp_torch_namespace__index_put_impl_out_out_Tensor_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor
+XPtrTorchTensor cpp_torch_namespace__index_put_impl_out_out_Tensor_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor(XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchOptionalIndexTensorList indices, XPtrTorchTensor values, XPtrTorchbool accumulate, XPtrTorchbool unsafe);
+RcppExport SEXP _torch_cpp_torch_namespace__index_put_impl_out_out_Tensor_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor(SEXP outSEXP, SEXP selfSEXP, SEXP indicesSEXP, SEXP valuesSEXP, SEXP accumulateSEXP, SEXP unsafeSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
@@ -38917,13 +40601,13 @@ BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type values(valuesSEXP);
     Rcpp::traits::input_parameter< XPtrTorchbool >::type accumulate(accumulateSEXP);
     Rcpp::traits::input_parameter< XPtrTorchbool >::type unsafe(unsafeSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__index_put_impl_out_out_Tensor_self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor(out, self, indices, values, accumulate, unsafe));
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__index_put_impl_out_out_Tensor_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor(out, self, indices, values, accumulate, unsafe));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__index_put_impl_self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor
-XPtrTorchTensor cpp_torch_namespace__index_put_impl_self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor(XPtrTorchTensor self, XPtrTorchOptionalIndexTensorList indices, XPtrTorchTensor values, XPtrTorchbool accumulate, XPtrTorchbool unsafe);
-RcppExport SEXP _torch_cpp_torch_namespace__index_put_impl_self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor(SEXP selfSEXP, SEXP indicesSEXP, SEXP valuesSEXP, SEXP accumulateSEXP, SEXP unsafeSEXP) {
+// cpp_torch_namespace__index_put_impl_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor
+XPtrTorchTensor cpp_torch_namespace__index_put_impl_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor(XPtrTorchTensor self, XPtrTorchOptionalIndexTensorList indices, XPtrTorchTensor values, XPtrTorchbool accumulate, XPtrTorchbool unsafe);
+RcppExport SEXP _torch_cpp_torch_namespace__index_put_impl_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor(SEXP selfSEXP, SEXP indicesSEXP, SEXP valuesSEXP, SEXP accumulateSEXP, SEXP unsafeSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
@@ -38931,7 +40615,7 @@ BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type values(valuesSEXP);
     Rcpp::traits::input_parameter< XPtrTorchbool >::type accumulate(accumulateSEXP);
     Rcpp::traits::input_parameter< XPtrTorchbool >::type unsafe(unsafeSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__index_put_impl_self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor(self, indices, values, accumulate, unsafe));
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__index_put_impl_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor(self, indices, values, accumulate, unsafe));
     return rcpp_result_gen;
 END_RCPP
 }
@@ -39214,6 +40898,22 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_namespace_quantized_max_pool3d_out_out_Tensor_self_Tensor_kernel_size_IntArrayRef
+XPtrTorchTensor cpp_torch_namespace_quantized_max_pool3d_out_out_Tensor_self_Tensor_kernel_size_IntArrayRef(XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchIntArrayRef kernel_size, XPtrTorchIntArrayRef stride, XPtrTorchIntArrayRef padding, XPtrTorchIntArrayRef dilation, XPtrTorchbool ceil_mode);
+RcppExport SEXP _torch_cpp_torch_namespace_quantized_max_pool3d_out_out_Tensor_self_Tensor_kernel_size_IntArrayRef(SEXP outSEXP, SEXP selfSEXP, SEXP kernel_sizeSEXP, SEXP strideSEXP, SEXP paddingSEXP, SEXP dilationSEXP, SEXP ceil_modeSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchIntArrayRef >::type kernel_size(kernel_sizeSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchIntArrayRef >::type stride(strideSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchIntArrayRef >::type padding(paddingSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchIntArrayRef >::type dilation(dilationSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type ceil_mode(ceil_modeSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_quantized_max_pool3d_out_out_Tensor_self_Tensor_kernel_size_IntArrayRef(out, self, kernel_size, stride, padding, dilation, ceil_mode));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_namespace_median_out_out_Tensor_self_Tensor
 XPtrTorchTensor cpp_torch_namespace_median_out_out_Tensor_self_Tensor(XPtrTorchTensor out, XPtrTorchTensor self);
 RcppExport SEXP _torch_cpp_torch_namespace_median_out_out_Tensor_self_Tensor(SEXP outSEXP, SEXP selfSEXP) {
@@ -39558,6 +41258,25 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_namespace__native_batch_norm_legit_no_training_out_out0_Tensor_out1_Tensor_out2_Tensor_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double
+Rcpp::List cpp_torch_namespace__native_batch_norm_legit_no_training_out_out0_Tensor_out1_Tensor_out2_Tensor_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double(XPtrTorchTensor out0, XPtrTorchTensor out1, XPtrTorchTensor out2, XPtrTorchTensor input, XPtrTorchOptionalTensor weight, XPtrTorchOptionalTensor bias, XPtrTorchTensor running_mean, XPtrTorchTensor running_var, XPtrTorchdouble momentum, XPtrTorchdouble eps);
+RcppExport SEXP _torch_cpp_torch_namespace__native_batch_norm_legit_no_training_out_out0_Tensor_out1_Tensor_out2_Tensor_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double(SEXP out0SEXP, SEXP out1SEXP, SEXP out2SEXP, SEXP inputSEXP, SEXP weightSEXP, SEXP biasSEXP, SEXP running_meanSEXP, SEXP running_varSEXP, SEXP momentumSEXP, SEXP epsSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type out0(out0SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type out1(out1SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type out2(out2SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type input(inputSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type weight(weightSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type bias(biasSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type running_mean(running_meanSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type running_var(running_varSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type momentum(momentumSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type eps(epsSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__native_batch_norm_legit_no_training_out_out0_Tensor_out1_Tensor_out2_Tensor_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double(out0, out1, out2, input, weight, bias, running_mean, running_var, momentum, eps));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_namespace_batch_norm_stats_out_out0_Tensor_out1_Tensor_input_Tensor_eps_double
 Rcpp::List cpp_torch_namespace_batch_norm_stats_out_out0_Tensor_out1_Tensor_input_Tensor_eps_double(XPtrTorchTensor out0, XPtrTorchTensor out1, XPtrTorchTensor input, XPtrTorchdouble eps);
 RcppExport SEXP _torch_cpp_torch_namespace_batch_norm_stats_out_out0_Tensor_out1_Tensor_input_Tensor_eps_double(SEXP out0SEXP, SEXP out1SEXP, SEXP inputSEXP, SEXP epsSEXP) {
@@ -39652,9 +41371,9 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace_batch_norm_backward_elemt_out_out_Tensor_grad_out_Tensor_input_Tensor_mean_Tensor_invstd_Tensor_weight_Tensor_mean_dy_Tensor_mean_dy_xmu_Tensor_count_Tensor
-XPtrTorchTensor cpp_torch_namespace_batch_norm_backward_elemt_out_out_Tensor_grad_out_Tensor_input_Tensor_mean_Tensor_invstd_Tensor_weight_Tensor_mean_dy_Tensor_mean_dy_xmu_Tensor_count_Tensor(XPtrTorchTensor out, XPtrTorchTensor grad_out, XPtrTorchTensor input, XPtrTorchTensor mean, XPtrTorchTensor invstd, XPtrTorchOptionalTensor weight, XPtrTorchTensor mean_dy, XPtrTorchTensor mean_dy_xmu, XPtrTorchTensor count);
-RcppExport SEXP _torch_cpp_torch_namespace_batch_norm_backward_elemt_out_out_Tensor_grad_out_Tensor_input_Tensor_mean_Tensor_invstd_Tensor_weight_Tensor_mean_dy_Tensor_mean_dy_xmu_Tensor_count_Tensor(SEXP outSEXP, SEXP grad_outSEXP, SEXP inputSEXP, SEXP meanSEXP, SEXP invstdSEXP, SEXP weightSEXP, SEXP mean_dySEXP, SEXP mean_dy_xmuSEXP, SEXP countSEXP) {
+// cpp_torch_namespace_batch_norm_backward_elemt_out_out_Tensor_grad_out_Tensor_input_Tensor_mean_Tensor_invstd_Tensor_weight_Tensor_sum_dy_Tensor_sum_dy_xmu_Tensor_count_Tensor
+XPtrTorchTensor cpp_torch_namespace_batch_norm_backward_elemt_out_out_Tensor_grad_out_Tensor_input_Tensor_mean_Tensor_invstd_Tensor_weight_Tensor_sum_dy_Tensor_sum_dy_xmu_Tensor_count_Tensor(XPtrTorchTensor out, XPtrTorchTensor grad_out, XPtrTorchTensor input, XPtrTorchTensor mean, XPtrTorchTensor invstd, XPtrTorchOptionalTensor weight, XPtrTorchTensor sum_dy, XPtrTorchTensor sum_dy_xmu, XPtrTorchTensor count);
+RcppExport SEXP _torch_cpp_torch_namespace_batch_norm_backward_elemt_out_out_Tensor_grad_out_Tensor_input_Tensor_mean_Tensor_invstd_Tensor_weight_Tensor_sum_dy_Tensor_sum_dy_xmu_Tensor_count_Tensor(SEXP outSEXP, SEXP grad_outSEXP, SEXP inputSEXP, SEXP meanSEXP, SEXP invstdSEXP, SEXP weightSEXP, SEXP sum_dySEXP, SEXP sum_dy_xmuSEXP, SEXP countSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
@@ -39663,10 +41382,10 @@ BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type mean(meanSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type invstd(invstdSEXP);
     Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type weight(weightSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type mean_dy(mean_dySEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type mean_dy_xmu(mean_dy_xmuSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type sum_dy(sum_dySEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type sum_dy_xmu(sum_dy_xmuSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type count(countSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_batch_norm_backward_elemt_out_out_Tensor_grad_out_Tensor_input_Tensor_mean_Tensor_invstd_Tensor_weight_Tensor_mean_dy_Tensor_mean_dy_xmu_Tensor_count_Tensor(out, grad_out, input, mean, invstd, weight, mean_dy, mean_dy_xmu, count));
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_batch_norm_backward_elemt_out_out_Tensor_grad_out_Tensor_input_Tensor_mean_Tensor_invstd_Tensor_weight_Tensor_sum_dy_Tensor_sum_dy_xmu_Tensor_count_Tensor(out, grad_out, input, mean, invstd, weight, sum_dy, sum_dy_xmu, count));
     return rcpp_result_gen;
 END_RCPP
 }
@@ -40262,6 +41981,17 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_namespace__nested_tensor_storage_offsets_out_out_Tensor_self_Tensor
+XPtrTorchTensor cpp_torch_namespace__nested_tensor_storage_offsets_out_out_Tensor_self_Tensor(XPtrTorchTensor out, XPtrTorchTensor self);
+RcppExport SEXP _torch_cpp_torch_namespace__nested_tensor_storage_offsets_out_out_Tensor_self_Tensor(SEXP outSEXP, SEXP selfSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__nested_tensor_storage_offsets_out_out_Tensor_self_Tensor(out, self));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_namespace__nested_from_padded_and_nested_example_out_out_Tensor_padded_Tensor_nt_example_Tensor
 XPtrTorchTensor cpp_torch_namespace__nested_from_padded_and_nested_example_out_out_Tensor_padded_Tensor_nt_example_Tensor(XPtrTorchTensor out, XPtrTorchTensor padded, XPtrTorchTensor nt_example);
 RcppExport SEXP _torch_cpp_torch_namespace__nested_from_padded_and_nested_example_out_out_Tensor_padded_Tensor_nt_example_Tensor(SEXP outSEXP, SEXP paddedSEXP, SEXP nt_exampleSEXP) {
@@ -40274,17 +42004,45 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__nested_view_from_buffer_copy_out_out_Tensor_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_IntArrayRef
-XPtrTorchTensor cpp_torch_namespace__nested_view_from_buffer_copy_out_out_Tensor_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_IntArrayRef(XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchTensor nested_size, XPtrTorchTensor nested_strides, XPtrTorchIntArrayRef offsets);
-RcppExport SEXP _torch_cpp_torch_namespace__nested_view_from_buffer_copy_out_out_Tensor_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_IntArrayRef(SEXP outSEXP, SEXP selfSEXP, SEXP nested_sizeSEXP, SEXP nested_stridesSEXP, SEXP offsetsSEXP) {
+// cpp_torch_namespace__nested_view_from_buffer_copy_out_out_Tensor_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_Tensor
+XPtrTorchTensor cpp_torch_namespace__nested_view_from_buffer_copy_out_out_Tensor_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_Tensor(XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchTensor nested_size, XPtrTorchTensor nested_strides, XPtrTorchTensor offsets);
+RcppExport SEXP _torch_cpp_torch_namespace__nested_view_from_buffer_copy_out_out_Tensor_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_Tensor(SEXP outSEXP, SEXP selfSEXP, SEXP nested_sizeSEXP, SEXP nested_stridesSEXP, SEXP offsetsSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type nested_size(nested_sizeSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type nested_strides(nested_stridesSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchIntArrayRef >::type offsets(offsetsSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__nested_view_from_buffer_copy_out_out_Tensor_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_IntArrayRef(out, self, nested_size, nested_strides, offsets));
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type offsets(offsetsSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__nested_view_from_buffer_copy_out_out_Tensor_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_Tensor(out, self, nested_size, nested_strides, offsets));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__nested_view_from_jagged_copy_out_out_Tensor_self_Tensor_offsets_Tensor_dummy_Tensor
+XPtrTorchTensor cpp_torch_namespace__nested_view_from_jagged_copy_out_out_Tensor_self_Tensor_offsets_Tensor_dummy_Tensor(XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchTensor offsets, XPtrTorchTensor dummy, XPtrTorchOptionalTensor lengths, XPtrTorchint64_t ragged_idx, XPtrTorchOptionalTensor min_seqlen, XPtrTorchOptionalTensor max_seqlen);
+RcppExport SEXP _torch_cpp_torch_namespace__nested_view_from_jagged_copy_out_out_Tensor_self_Tensor_offsets_Tensor_dummy_Tensor(SEXP outSEXP, SEXP selfSEXP, SEXP offsetsSEXP, SEXP dummySEXP, SEXP lengthsSEXP, SEXP ragged_idxSEXP, SEXP min_seqlenSEXP, SEXP max_seqlenSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type offsets(offsetsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type dummy(dummySEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type lengths(lengthsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type ragged_idx(ragged_idxSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type min_seqlen(min_seqlenSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type max_seqlen(max_seqlenSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__nested_view_from_jagged_copy_out_out_Tensor_self_Tensor_offsets_Tensor_dummy_Tensor(out, self, offsets, dummy, lengths, ragged_idx, min_seqlen, max_seqlen));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__nested_get_values_copy_out_out_Tensor_self_Tensor
+XPtrTorchTensor cpp_torch_namespace__nested_get_values_copy_out_out_Tensor_self_Tensor(XPtrTorchTensor out, XPtrTorchTensor self);
+RcppExport SEXP _torch_cpp_torch_namespace__nested_get_values_copy_out_out_Tensor_self_Tensor(SEXP outSEXP, SEXP selfSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__nested_get_values_copy_out_out_Tensor_self_Tensor(out, self));
     return rcpp_result_gen;
 END_RCPP
 }
@@ -40563,6 +42321,42 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_namespace__batch_norm_with_update_functional_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double
+Rcpp::List cpp_torch_namespace__batch_norm_with_update_functional_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double(XPtrTorchTensor input, XPtrTorchOptionalTensor weight, XPtrTorchOptionalTensor bias, XPtrTorchTensor running_mean, XPtrTorchTensor running_var, XPtrTorchdouble momentum, XPtrTorchdouble eps);
+RcppExport SEXP _torch_cpp_torch_namespace__batch_norm_with_update_functional_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double(SEXP inputSEXP, SEXP weightSEXP, SEXP biasSEXP, SEXP running_meanSEXP, SEXP running_varSEXP, SEXP momentumSEXP, SEXP epsSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type input(inputSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type weight(weightSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type bias(biasSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type running_mean(running_meanSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type running_var(running_varSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type momentum(momentumSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type eps(epsSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__batch_norm_with_update_functional_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double(input, weight, bias, running_mean, running_var, momentum, eps));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__batch_norm_no_update_out_out0_Tensor_out1_Tensor_out2_Tensor_out3_Tensor_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double
+Rcpp::List cpp_torch_namespace__batch_norm_no_update_out_out0_Tensor_out1_Tensor_out2_Tensor_out3_Tensor_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double(XPtrTorchTensor out0, XPtrTorchTensor out1, XPtrTorchTensor out2, XPtrTorchTensor out3, XPtrTorchTensor input, XPtrTorchOptionalTensor weight, XPtrTorchOptionalTensor bias, XPtrTorchOptionalTensor running_mean, XPtrTorchOptionalTensor running_var, XPtrTorchdouble momentum, XPtrTorchdouble eps);
+RcppExport SEXP _torch_cpp_torch_namespace__batch_norm_no_update_out_out0_Tensor_out1_Tensor_out2_Tensor_out3_Tensor_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double(SEXP out0SEXP, SEXP out1SEXP, SEXP out2SEXP, SEXP out3SEXP, SEXP inputSEXP, SEXP weightSEXP, SEXP biasSEXP, SEXP running_meanSEXP, SEXP running_varSEXP, SEXP momentumSEXP, SEXP epsSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type out0(out0SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type out1(out1SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type out2(out2SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type out3(out3SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type input(inputSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type weight(weightSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type bias(biasSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type running_mean(running_meanSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type running_var(running_varSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type momentum(momentumSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type eps(epsSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__batch_norm_no_update_out_out0_Tensor_out1_Tensor_out2_Tensor_out3_Tensor_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double(out0, out1, out2, out3, input, weight, bias, running_mean, running_var, momentum, eps));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_namespace__sparse_sum_out_out_Tensor_self_Tensor_dim_IntArrayRef
 XPtrTorchTensor cpp_torch_namespace__sparse_sum_out_out_Tensor_self_Tensor_dim_IntArrayRef(XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchIndexIntArrayRef dim);
 RcppExport SEXP _torch_cpp_torch_namespace__sparse_sum_out_out_Tensor_self_Tensor_dim_IntArrayRef(SEXP outSEXP, SEXP selfSEXP, SEXP dimSEXP) {
@@ -40869,8 +42663,8 @@ BEGIN_RCPP
 END_RCPP
 }
 // cpp_torch_namespace__sparse_coo_tensor_with_dims_and_tensors_out_out_Tensor_sparse_dim_int64_t_dense_dim_int64_t_size_IntArrayRef_indices_Tensor_values_Tensor
-XPtrTorchTensor cpp_torch_namespace__sparse_coo_tensor_with_dims_and_tensors_out_out_Tensor_sparse_dim_int64_t_dense_dim_int64_t_size_IntArrayRef_indices_Tensor_values_Tensor(XPtrTorchTensor out, XPtrTorchint64_t sparse_dim, XPtrTorchint64_t dense_dim, XPtrTorchIntArrayRef size, XPtrTorchIndexTensor indices, XPtrTorchTensor values);
-RcppExport SEXP _torch_cpp_torch_namespace__sparse_coo_tensor_with_dims_and_tensors_out_out_Tensor_sparse_dim_int64_t_dense_dim_int64_t_size_IntArrayRef_indices_Tensor_values_Tensor(SEXP outSEXP, SEXP sparse_dimSEXP, SEXP dense_dimSEXP, SEXP sizeSEXP, SEXP indicesSEXP, SEXP valuesSEXP) {
+XPtrTorchTensor cpp_torch_namespace__sparse_coo_tensor_with_dims_and_tensors_out_out_Tensor_sparse_dim_int64_t_dense_dim_int64_t_size_IntArrayRef_indices_Tensor_values_Tensor(XPtrTorchTensor out, XPtrTorchint64_t sparse_dim, XPtrTorchint64_t dense_dim, XPtrTorchIntArrayRef size, XPtrTorchIndexTensor indices, XPtrTorchTensor values, XPtrTorchoptional_bool is_coalesced);
+RcppExport SEXP _torch_cpp_torch_namespace__sparse_coo_tensor_with_dims_and_tensors_out_out_Tensor_sparse_dim_int64_t_dense_dim_int64_t_size_IntArrayRef_indices_Tensor_values_Tensor(SEXP outSEXP, SEXP sparse_dimSEXP, SEXP dense_dimSEXP, SEXP sizeSEXP, SEXP indicesSEXP, SEXP valuesSEXP, SEXP is_coalescedSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
@@ -40879,7 +42673,8 @@ BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchIntArrayRef >::type size(sizeSEXP);
     Rcpp::traits::input_parameter< XPtrTorchIndexTensor >::type indices(indicesSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type values(valuesSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__sparse_coo_tensor_with_dims_and_tensors_out_out_Tensor_sparse_dim_int64_t_dense_dim_int64_t_size_IntArrayRef_indices_Tensor_values_Tensor(out, sparse_dim, dense_dim, size, indices, values));
+    Rcpp::traits::input_parameter< XPtrTorchoptional_bool >::type is_coalesced(is_coalescedSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__sparse_coo_tensor_with_dims_and_tensors_out_out_Tensor_sparse_dim_int64_t_dense_dim_int64_t_size_IntArrayRef_indices_Tensor_values_Tensor(out, sparse_dim, dense_dim, size, indices, values, is_coalesced));
     return rcpp_result_gen;
 END_RCPP
 }
@@ -40949,15 +42744,29 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_namespace__sparse_mask_projection_out_out_Tensor_self_Tensor_mask_Tensor
+XPtrTorchTensor cpp_torch_namespace__sparse_mask_projection_out_out_Tensor_self_Tensor_mask_Tensor(XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchTensor mask, XPtrTorchbool accumulate_matches);
+RcppExport SEXP _torch_cpp_torch_namespace__sparse_mask_projection_out_out_Tensor_self_Tensor_mask_Tensor(SEXP outSEXP, SEXP selfSEXP, SEXP maskSEXP, SEXP accumulate_matchesSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type mask(maskSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type accumulate_matches(accumulate_matchesSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__sparse_mask_projection_out_out_Tensor_self_Tensor_mask_Tensor(out, self, mask, accumulate_matches));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_namespace__to_dense_out_out_Tensor_self_Tensor
-XPtrTorchTensor cpp_torch_namespace__to_dense_out_out_Tensor_self_Tensor(XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchoptional_scalar_type dtype);
-RcppExport SEXP _torch_cpp_torch_namespace__to_dense_out_out_Tensor_self_Tensor(SEXP outSEXP, SEXP selfSEXP, SEXP dtypeSEXP) {
+XPtrTorchTensor cpp_torch_namespace__to_dense_out_out_Tensor_self_Tensor(XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchoptional_scalar_type dtype, XPtrTorchoptional_bool masked_grad);
+RcppExport SEXP _torch_cpp_torch_namespace__to_dense_out_out_Tensor_self_Tensor(SEXP outSEXP, SEXP selfSEXP, SEXP dtypeSEXP, SEXP masked_gradSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
     Rcpp::traits::input_parameter< XPtrTorchoptional_scalar_type >::type dtype(dtypeSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__to_dense_out_out_Tensor_self_Tensor(out, self, dtype));
+    Rcpp::traits::input_parameter< XPtrTorchoptional_bool >::type masked_grad(masked_gradSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__to_dense_out_out_Tensor_self_Tensor(out, self, dtype, masked_grad));
     return rcpp_result_gen;
 END_RCPP
 }
@@ -41020,21 +42829,21 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace_to_sparse_out_out_Tensor_self_Tensor_sparse_dim_int64_t
-XPtrTorchTensor cpp_torch_namespace_to_sparse_out_out_Tensor_self_Tensor_sparse_dim_int64_t(XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchint64_t sparse_dim);
-RcppExport SEXP _torch_cpp_torch_namespace_to_sparse_out_out_Tensor_self_Tensor_sparse_dim_int64_t(SEXP outSEXP, SEXP selfSEXP, SEXP sparse_dimSEXP) {
+// cpp_torch_namespace__to_sparse_out_out_Tensor_self_Tensor_sparse_dim_int64_t
+XPtrTorchTensor cpp_torch_namespace__to_sparse_out_out_Tensor_self_Tensor_sparse_dim_int64_t(XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchint64_t sparse_dim);
+RcppExport SEXP _torch_cpp_torch_namespace__to_sparse_out_out_Tensor_self_Tensor_sparse_dim_int64_t(SEXP outSEXP, SEXP selfSEXP, SEXP sparse_dimSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
     Rcpp::traits::input_parameter< XPtrTorchint64_t >::type sparse_dim(sparse_dimSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_to_sparse_out_out_Tensor_self_Tensor_sparse_dim_int64_t(out, self, sparse_dim));
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__to_sparse_out_out_Tensor_self_Tensor_sparse_dim_int64_t(out, self, sparse_dim));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace_to_sparse_out_out_Tensor_self_Tensor
-XPtrTorchTensor cpp_torch_namespace_to_sparse_out_out_Tensor_self_Tensor(XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchLayout layout, XPtrTorchOptionalIntArrayRef blocksize, XPtrTorchoptional_int64_t dense_dim);
-RcppExport SEXP _torch_cpp_torch_namespace_to_sparse_out_out_Tensor_self_Tensor(SEXP outSEXP, SEXP selfSEXP, SEXP layoutSEXP, SEXP blocksizeSEXP, SEXP dense_dimSEXP) {
+// cpp_torch_namespace__to_sparse_out_out_Tensor_self_Tensor
+XPtrTorchTensor cpp_torch_namespace__to_sparse_out_out_Tensor_self_Tensor(XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchLayout layout, XPtrTorchOptionalIntArrayRef blocksize, XPtrTorchoptional_int64_t dense_dim);
+RcppExport SEXP _torch_cpp_torch_namespace__to_sparse_out_out_Tensor_self_Tensor(SEXP outSEXP, SEXP selfSEXP, SEXP layoutSEXP, SEXP blocksizeSEXP, SEXP dense_dimSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
@@ -41042,57 +42851,57 @@ BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchLayout >::type layout(layoutSEXP);
     Rcpp::traits::input_parameter< XPtrTorchOptionalIntArrayRef >::type blocksize(blocksizeSEXP);
     Rcpp::traits::input_parameter< XPtrTorchoptional_int64_t >::type dense_dim(dense_dimSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_to_sparse_out_out_Tensor_self_Tensor(out, self, layout, blocksize, dense_dim));
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__to_sparse_out_out_Tensor_self_Tensor(out, self, layout, blocksize, dense_dim));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace_to_sparse_csr_out_out_Tensor_self_Tensor
-XPtrTorchTensor cpp_torch_namespace_to_sparse_csr_out_out_Tensor_self_Tensor(XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchoptional_int64_t dense_dim);
-RcppExport SEXP _torch_cpp_torch_namespace_to_sparse_csr_out_out_Tensor_self_Tensor(SEXP outSEXP, SEXP selfSEXP, SEXP dense_dimSEXP) {
+// cpp_torch_namespace__to_sparse_csr_out_out_Tensor_self_Tensor
+XPtrTorchTensor cpp_torch_namespace__to_sparse_csr_out_out_Tensor_self_Tensor(XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchoptional_int64_t dense_dim);
+RcppExport SEXP _torch_cpp_torch_namespace__to_sparse_csr_out_out_Tensor_self_Tensor(SEXP outSEXP, SEXP selfSEXP, SEXP dense_dimSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
     Rcpp::traits::input_parameter< XPtrTorchoptional_int64_t >::type dense_dim(dense_dimSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_to_sparse_csr_out_out_Tensor_self_Tensor(out, self, dense_dim));
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__to_sparse_csr_out_out_Tensor_self_Tensor(out, self, dense_dim));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace_to_sparse_csc_out_out_Tensor_self_Tensor
-XPtrTorchTensor cpp_torch_namespace_to_sparse_csc_out_out_Tensor_self_Tensor(XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchoptional_int64_t dense_dim);
-RcppExport SEXP _torch_cpp_torch_namespace_to_sparse_csc_out_out_Tensor_self_Tensor(SEXP outSEXP, SEXP selfSEXP, SEXP dense_dimSEXP) {
+// cpp_torch_namespace__to_sparse_csc_out_out_Tensor_self_Tensor
+XPtrTorchTensor cpp_torch_namespace__to_sparse_csc_out_out_Tensor_self_Tensor(XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchoptional_int64_t dense_dim);
+RcppExport SEXP _torch_cpp_torch_namespace__to_sparse_csc_out_out_Tensor_self_Tensor(SEXP outSEXP, SEXP selfSEXP, SEXP dense_dimSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
     Rcpp::traits::input_parameter< XPtrTorchoptional_int64_t >::type dense_dim(dense_dimSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_to_sparse_csc_out_out_Tensor_self_Tensor(out, self, dense_dim));
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__to_sparse_csc_out_out_Tensor_self_Tensor(out, self, dense_dim));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace_to_sparse_bsr_out_out_Tensor_self_Tensor_blocksize_IntArrayRef
-XPtrTorchTensor cpp_torch_namespace_to_sparse_bsr_out_out_Tensor_self_Tensor_blocksize_IntArrayRef(XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchIntArrayRef blocksize, XPtrTorchoptional_int64_t dense_dim);
-RcppExport SEXP _torch_cpp_torch_namespace_to_sparse_bsr_out_out_Tensor_self_Tensor_blocksize_IntArrayRef(SEXP outSEXP, SEXP selfSEXP, SEXP blocksizeSEXP, SEXP dense_dimSEXP) {
+// cpp_torch_namespace__to_sparse_bsr_out_out_Tensor_self_Tensor_blocksize_IntArrayRef
+XPtrTorchTensor cpp_torch_namespace__to_sparse_bsr_out_out_Tensor_self_Tensor_blocksize_IntArrayRef(XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchIntArrayRef blocksize, XPtrTorchoptional_int64_t dense_dim);
+RcppExport SEXP _torch_cpp_torch_namespace__to_sparse_bsr_out_out_Tensor_self_Tensor_blocksize_IntArrayRef(SEXP outSEXP, SEXP selfSEXP, SEXP blocksizeSEXP, SEXP dense_dimSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
     Rcpp::traits::input_parameter< XPtrTorchIntArrayRef >::type blocksize(blocksizeSEXP);
     Rcpp::traits::input_parameter< XPtrTorchoptional_int64_t >::type dense_dim(dense_dimSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_to_sparse_bsr_out_out_Tensor_self_Tensor_blocksize_IntArrayRef(out, self, blocksize, dense_dim));
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__to_sparse_bsr_out_out_Tensor_self_Tensor_blocksize_IntArrayRef(out, self, blocksize, dense_dim));
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace_to_sparse_bsc_out_out_Tensor_self_Tensor_blocksize_IntArrayRef
-XPtrTorchTensor cpp_torch_namespace_to_sparse_bsc_out_out_Tensor_self_Tensor_blocksize_IntArrayRef(XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchIntArrayRef blocksize, XPtrTorchoptional_int64_t dense_dim);
-RcppExport SEXP _torch_cpp_torch_namespace_to_sparse_bsc_out_out_Tensor_self_Tensor_blocksize_IntArrayRef(SEXP outSEXP, SEXP selfSEXP, SEXP blocksizeSEXP, SEXP dense_dimSEXP) {
+// cpp_torch_namespace__to_sparse_bsc_out_out_Tensor_self_Tensor_blocksize_IntArrayRef
+XPtrTorchTensor cpp_torch_namespace__to_sparse_bsc_out_out_Tensor_self_Tensor_blocksize_IntArrayRef(XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchIntArrayRef blocksize, XPtrTorchoptional_int64_t dense_dim);
+RcppExport SEXP _torch_cpp_torch_namespace__to_sparse_bsc_out_out_Tensor_self_Tensor_blocksize_IntArrayRef(SEXP outSEXP, SEXP selfSEXP, SEXP blocksizeSEXP, SEXP dense_dimSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
     Rcpp::traits::input_parameter< XPtrTorchIntArrayRef >::type blocksize(blocksizeSEXP);
     Rcpp::traits::input_parameter< XPtrTorchoptional_int64_t >::type dense_dim(dense_dimSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_to_sparse_bsc_out_out_Tensor_self_Tensor_blocksize_IntArrayRef(out, self, blocksize, dense_dim));
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__to_sparse_bsc_out_out_Tensor_self_Tensor_blocksize_IntArrayRef(out, self, blocksize, dense_dim));
     return rcpp_result_gen;
 END_RCPP
 }
@@ -41125,8 +42934,8 @@ BEGIN_RCPP
 END_RCPP
 }
 // cpp_torch_namespace_mkldnn_reorder_conv3d_weight_out_out_Tensor_self_Tensor
-XPtrTorchTensor cpp_torch_namespace_mkldnn_reorder_conv3d_weight_out_out_Tensor_self_Tensor(XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchIntArrayRef padding, XPtrTorchIntArrayRef stride, XPtrTorchIntArrayRef dilation, XPtrTorchint64_t groups);
-RcppExport SEXP _torch_cpp_torch_namespace_mkldnn_reorder_conv3d_weight_out_out_Tensor_self_Tensor(SEXP outSEXP, SEXP selfSEXP, SEXP paddingSEXP, SEXP strideSEXP, SEXP dilationSEXP, SEXP groupsSEXP) {
+XPtrTorchTensor cpp_torch_namespace_mkldnn_reorder_conv3d_weight_out_out_Tensor_self_Tensor(XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchIntArrayRef padding, XPtrTorchIntArrayRef stride, XPtrTorchIntArrayRef dilation, XPtrTorchint64_t groups, XPtrTorchOptionalIntArrayRef input_size);
+RcppExport SEXP _torch_cpp_torch_namespace_mkldnn_reorder_conv3d_weight_out_out_Tensor_self_Tensor(SEXP outSEXP, SEXP selfSEXP, SEXP paddingSEXP, SEXP strideSEXP, SEXP dilationSEXP, SEXP groupsSEXP, SEXP input_sizeSEXP) {
 BEGIN_RCPP
     Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
@@ -41135,7 +42944,8 @@ BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchIntArrayRef >::type stride(strideSEXP);
     Rcpp::traits::input_parameter< XPtrTorchIntArrayRef >::type dilation(dilationSEXP);
     Rcpp::traits::input_parameter< XPtrTorchint64_t >::type groups(groupsSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_mkldnn_reorder_conv3d_weight_out_out_Tensor_self_Tensor(out, self, padding, stride, dilation, groups));
+    Rcpp::traits::input_parameter< XPtrTorchOptionalIntArrayRef >::type input_size(input_sizeSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_mkldnn_reorder_conv3d_weight_out_out_Tensor_self_Tensor(out, self, padding, stride, dilation, groups, input_size));
     return rcpp_result_gen;
 END_RCPP
 }
@@ -41456,13 +43266,13 @@ BEGIN_RCPP
 END_RCPP
 }
 // cpp_torch_namespace_lstm_mps_backward_out_out0_Tensor_out1_TensorList_out2_TensorList_grad_y_Tensor_grad_hy_Tensor_grad_cy_Tensor_z_state_Tensor_cell_state_fwd_Tensor_input_Tensor_layersOutputs_Tensor_hx_TensorList_params_TensorList_has_biases_bool_num_layers_int64_t_dropout_double_train_bool_bidirectional_bool_batch_first_bool
-void cpp_torch_namespace_lstm_mps_backward_out_out0_Tensor_out1_TensorList_out2_TensorList_grad_y_Tensor_grad_hy_Tensor_grad_cy_Tensor_z_state_Tensor_cell_state_fwd_Tensor_input_Tensor_layersOutputs_Tensor_hx_TensorList_params_TensorList_has_biases_bool_num_layers_int64_t_dropout_double_train_bool_bidirectional_bool_batch_first_bool(XPtrTorchTensor out0, XPtrTorchTensorList out1, XPtrTorchTensorList out2, XPtrTorchTensor grad_y, XPtrTorchOptionalTensor grad_hy, XPtrTorchOptionalTensor grad_cy, XPtrTorchTensor z_state, XPtrTorchTensor cell_state_fwd, XPtrTorchTensor input, XPtrTorchTensor layersOutputs, XPtrTorchTensorList hx, XPtrTorchTensorList params, XPtrTorchbool has_biases, XPtrTorchint64_t num_layers, XPtrTorchdouble dropout, XPtrTorchbool train, XPtrTorchbool bidirectional, XPtrTorchbool batch_first);
+void cpp_torch_namespace_lstm_mps_backward_out_out0_Tensor_out1_TensorList_out2_TensorList_grad_y_Tensor_grad_hy_Tensor_grad_cy_Tensor_z_state_Tensor_cell_state_fwd_Tensor_input_Tensor_layersOutputs_Tensor_hx_TensorList_params_TensorList_has_biases_bool_num_layers_int64_t_dropout_double_train_bool_bidirectional_bool_batch_first_bool(XPtrTorchTensor out0, XPtrTorchTensorList out1, XPtrTorchTensorList out2, XPtrTorchOptionalTensor grad_y, XPtrTorchOptionalTensor grad_hy, XPtrTorchOptionalTensor grad_cy, XPtrTorchTensor z_state, XPtrTorchTensor cell_state_fwd, XPtrTorchTensor input, XPtrTorchTensor layersOutputs, XPtrTorchTensorList hx, XPtrTorchTensorList params, XPtrTorchbool has_biases, XPtrTorchint64_t num_layers, XPtrTorchdouble dropout, XPtrTorchbool train, XPtrTorchbool bidirectional, XPtrTorchbool batch_first);
 RcppExport SEXP _torch_cpp_torch_namespace_lstm_mps_backward_out_out0_Tensor_out1_TensorList_out2_TensorList_grad_y_Tensor_grad_hy_Tensor_grad_cy_Tensor_z_state_Tensor_cell_state_fwd_Tensor_input_Tensor_layersOutputs_Tensor_hx_TensorList_params_TensorList_has_biases_bool_num_layers_int64_t_dropout_double_train_bool_bidirectional_bool_batch_first_bool(SEXP out0SEXP, SEXP out1SEXP, SEXP out2SEXP, SEXP grad_ySEXP, SEXP grad_hySEXP, SEXP grad_cySEXP, SEXP z_stateSEXP, SEXP cell_state_fwdSEXP, SEXP inputSEXP, SEXP layersOutputsSEXP, SEXP hxSEXP, SEXP paramsSEXP, SEXP has_biasesSEXP, SEXP num_layersSEXP, SEXP dropoutSEXP, SEXP trainSEXP, SEXP bidirectionalSEXP, SEXP batch_firstSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type out0(out0SEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out1(out1SEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out2(out2SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type grad_y(grad_ySEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type grad_y(grad_ySEXP);
     Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type grad_hy(grad_hySEXP);
     Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type grad_cy(grad_cySEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensor >::type z_state(z_stateSEXP);
@@ -42222,20 +44032,6 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace_argsort_out_out_Tensor_self_Tensor_stable_bool
-XPtrTorchTensor cpp_torch_namespace_argsort_out_out_Tensor_self_Tensor_stable_bool(XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchbool stable, XPtrTorchindex_int64_t dim, XPtrTorchbool descending);
-RcppExport SEXP _torch_cpp_torch_namespace_argsort_out_out_Tensor_self_Tensor_stable_bool(SEXP outSEXP, SEXP selfSEXP, SEXP stableSEXP, SEXP dimSEXP, SEXP descendingSEXP) {
-BEGIN_RCPP
-    Rcpp::RObject rcpp_result_gen;
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchbool >::type stable(stableSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchindex_int64_t >::type dim(dimSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchbool >::type descending(descendingSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_argsort_out_out_Tensor_self_Tensor_stable_bool(out, self, stable, dim, descending));
-    return rcpp_result_gen;
-END_RCPP
-}
 // cpp_torch_namespace_unfold_backward_out_out_Tensor_grad_in_Tensor_input_sizes_IntArrayRef_dim_int64_t_size_int64_t_step_int64_t
 XPtrTorchTensor cpp_torch_namespace_unfold_backward_out_out_Tensor_grad_in_Tensor_input_sizes_IntArrayRef_dim_int64_t_size_int64_t_step_int64_t(XPtrTorchTensor out, XPtrTorchTensor grad_in, XPtrTorchIntArrayRef input_sizes, XPtrTorchindex_int64_t dim, XPtrTorchint64_t size, XPtrTorchint64_t step);
 RcppExport SEXP _torch_cpp_torch_namespace_unfold_backward_out_out_Tensor_grad_in_Tensor_input_sizes_IntArrayRef_dim_int64_t_size_int64_t_step_int64_t(SEXP outSEXP, SEXP grad_inSEXP, SEXP input_sizesSEXP, SEXP dimSEXP, SEXP sizeSEXP, SEXP stepSEXP) {
@@ -42331,115 +44127,127 @@ BEGIN_RCPP
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_scalar_Scalar
-void cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_scalar_Scalar(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchScalar scalar);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_scalar_Scalar(SEXP outSEXP, SEXP selfSEXP, SEXP scalarSEXP) {
+// cpp_torch_namespace__foreach_add_out_out_TensorList_self_TensorList_other_TensorList
+void cpp_torch_namespace__foreach_add_out_out_TensorList_self_TensorList_other_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList other, XPtrTorchScalar alpha);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_add_out_out_TensorList_self_TensorList_other_TensorList(SEXP outSEXP, SEXP selfSEXP, SEXP otherSEXP, SEXP alphaSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchScalar >::type scalar(scalarSEXP);
-    cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_scalar_Scalar(out, self, scalar);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type other(otherSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type alpha(alphaSEXP);
+    cpp_torch_namespace__foreach_add_out_out_TensorList_self_TensorList_other_TensorList(out, self, other, alpha);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_scalar_Scalar
-void cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_scalar_Scalar(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchScalar scalar);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_scalar_Scalar(SEXP outSEXP, SEXP selfSEXP, SEXP scalarSEXP) {
+// cpp_torch_namespace__foreach_add_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar
+void cpp_torch_namespace__foreach_add_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_add_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar(SEXP outSEXP, SEXP selfSEXP, SEXP scalarsSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchScalar >::type scalar(scalarSEXP);
-    cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_scalar_Scalar(out, self, scalar);
+    Rcpp::traits::input_parameter< XPtrTorchvector_Scalar >::type scalars(scalarsSEXP);
+    cpp_torch_namespace__foreach_add_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar(out, self, scalars);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_scalar_Scalar
-void cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_scalar_Scalar(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchScalar scalar);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_scalar_Scalar(SEXP outSEXP, SEXP selfSEXP, SEXP scalarSEXP) {
+// cpp_torch_namespace__foreach_add_out_out_TensorList_self_TensorList_other_Tensor
+void cpp_torch_namespace__foreach_add_out_out_TensorList_self_TensorList_other_Tensor(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensor other, XPtrTorchScalar alpha);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_add_out_out_TensorList_self_TensorList_other_Tensor(SEXP outSEXP, SEXP selfSEXP, SEXP otherSEXP, SEXP alphaSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchScalar >::type scalar(scalarSEXP);
-    cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_scalar_Scalar(out, self, scalar);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type other(otherSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type alpha(alphaSEXP);
+    cpp_torch_namespace__foreach_add_out_out_TensorList_self_TensorList_other_Tensor(out, self, other, alpha);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_scalar_Scalar
-void cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_scalar_Scalar(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchScalar scalar);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_scalar_Scalar(SEXP outSEXP, SEXP selfSEXP, SEXP scalarSEXP) {
+// cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_scalar_Scalar
+void cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_scalar_Scalar(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchScalar scalar);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_scalar_Scalar(SEXP outSEXP, SEXP selfSEXP, SEXP scalarSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
     Rcpp::traits::input_parameter< XPtrTorchScalar >::type scalar(scalarSEXP);
-    cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_scalar_Scalar(out, self, scalar);
+    cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_scalar_Scalar(out, self, scalar);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_scalar_Scalar
-void cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_scalar_Scalar(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchScalar scalar);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_scalar_Scalar(SEXP outSEXP, SEXP selfSEXP, SEXP scalarSEXP) {
+// cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_other_TensorList
+void cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_other_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList other, XPtrTorchScalar alpha);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_other_TensorList(SEXP outSEXP, SEXP selfSEXP, SEXP otherSEXP, SEXP alphaSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchScalar >::type scalar(scalarSEXP);
-    cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_scalar_Scalar(out, self, scalar);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type other(otherSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type alpha(alphaSEXP);
+    cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_other_TensorList(out, self, other, alpha);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_maximum_out_out_TensorList_self_TensorList_scalar_Scalar
-void cpp_torch_namespace__foreach_maximum_out_out_TensorList_self_TensorList_scalar_Scalar(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchScalar scalar);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_maximum_out_out_TensorList_self_TensorList_scalar_Scalar(SEXP outSEXP, SEXP selfSEXP, SEXP scalarSEXP) {
+// cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar
+void cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar(SEXP outSEXP, SEXP selfSEXP, SEXP scalarsSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchScalar >::type scalar(scalarSEXP);
-    cpp_torch_namespace__foreach_maximum_out_out_TensorList_self_TensorList_scalar_Scalar(out, self, scalar);
+    Rcpp::traits::input_parameter< XPtrTorchvector_Scalar >::type scalars(scalarsSEXP);
+    cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar(out, self, scalars);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_minimum_out_out_TensorList_self_TensorList_scalar_Scalar
-void cpp_torch_namespace__foreach_minimum_out_out_TensorList_self_TensorList_scalar_Scalar(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchScalar scalar);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_minimum_out_out_TensorList_self_TensorList_scalar_Scalar(SEXP outSEXP, SEXP selfSEXP, SEXP scalarSEXP) {
+// cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_scalar_Scalar
+void cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_scalar_Scalar(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchScalar scalar);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_scalar_Scalar(SEXP outSEXP, SEXP selfSEXP, SEXP scalarSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
     Rcpp::traits::input_parameter< XPtrTorchScalar >::type scalar(scalarSEXP);
-    cpp_torch_namespace__foreach_minimum_out_out_TensorList_self_TensorList_scalar_Scalar(out, self, scalar);
+    cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_scalar_Scalar(out, self, scalar);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_add_out_out_TensorList_self_TensorList_other_TensorList
-void cpp_torch_namespace__foreach_add_out_out_TensorList_self_TensorList_other_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList other, XPtrTorchScalar alpha);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_add_out_out_TensorList_self_TensorList_other_TensorList(SEXP outSEXP, SEXP selfSEXP, SEXP otherSEXP, SEXP alphaSEXP) {
+// cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_other_TensorList
+void cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_other_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList other);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_other_TensorList(SEXP outSEXP, SEXP selfSEXP, SEXP otherSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type other(otherSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchScalar >::type alpha(alphaSEXP);
-    cpp_torch_namespace__foreach_add_out_out_TensorList_self_TensorList_other_TensorList(out, self, other, alpha);
+    cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_other_TensorList(out, self, other);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_other_TensorList
-void cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_other_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList other, XPtrTorchScalar alpha);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_other_TensorList(SEXP outSEXP, SEXP selfSEXP, SEXP otherSEXP, SEXP alphaSEXP) {
+// cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar
+void cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar(SEXP outSEXP, SEXP selfSEXP, SEXP scalarsSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type other(otherSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchScalar >::type alpha(alphaSEXP);
-    cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_other_TensorList(out, self, other, alpha);
+    Rcpp::traits::input_parameter< XPtrTorchvector_Scalar >::type scalars(scalarsSEXP);
+    cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar(out, self, scalars);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_other_TensorList
-void cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_other_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList other);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_other_TensorList(SEXP outSEXP, SEXP selfSEXP, SEXP otherSEXP) {
+// cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_other_Tensor
+void cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_other_Tensor(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensor other);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_other_Tensor(SEXP outSEXP, SEXP selfSEXP, SEXP otherSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type other(otherSEXP);
-    cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_other_TensorList(out, self, other);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type other(otherSEXP);
+    cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_other_Tensor(out, self, other);
+    return R_NilValue;
+END_RCPP
+}
+// cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_scalar_Scalar
+void cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_scalar_Scalar(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchScalar scalar);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_scalar_Scalar(SEXP outSEXP, SEXP selfSEXP, SEXP scalarSEXP) {
+BEGIN_RCPP
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type scalar(scalarSEXP);
+    cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_scalar_Scalar(out, self, scalar);
     return R_NilValue;
 END_RCPP
 }
@@ -42454,113 +44262,113 @@ BEGIN_RCPP
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_other_TensorList
-void cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_other_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList other);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_other_TensorList(SEXP outSEXP, SEXP selfSEXP, SEXP otherSEXP) {
+// cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar
+void cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar(SEXP outSEXP, SEXP selfSEXP, SEXP scalarsSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type other(otherSEXP);
-    cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_other_TensorList(out, self, other);
+    Rcpp::traits::input_parameter< XPtrTorchvector_Scalar >::type scalars(scalarsSEXP);
+    cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar(out, self, scalars);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_other_TensorList
-void cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_other_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList other);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_other_TensorList(SEXP outSEXP, SEXP selfSEXP, SEXP otherSEXP) {
+// cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_other_Tensor
+void cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_other_Tensor(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensor other);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_other_Tensor(SEXP outSEXP, SEXP selfSEXP, SEXP otherSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type other(otherSEXP);
-    cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_other_TensorList(out, self, other);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type other(otherSEXP);
+    cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_other_Tensor(out, self, other);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_maximum_out_out_TensorList_self_TensorList_other_TensorList
-void cpp_torch_namespace__foreach_maximum_out_out_TensorList_self_TensorList_other_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList other);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_maximum_out_out_TensorList_self_TensorList_other_TensorList(SEXP outSEXP, SEXP selfSEXP, SEXP otherSEXP) {
+// cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_scalar_Scalar
+void cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_scalar_Scalar(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchScalar scalar);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_scalar_Scalar(SEXP outSEXP, SEXP selfSEXP, SEXP scalarSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type other(otherSEXP);
-    cpp_torch_namespace__foreach_maximum_out_out_TensorList_self_TensorList_other_TensorList(out, self, other);
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type scalar(scalarSEXP);
+    cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_scalar_Scalar(out, self, scalar);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_minimum_out_out_TensorList_self_TensorList_other_TensorList
-void cpp_torch_namespace__foreach_minimum_out_out_TensorList_self_TensorList_other_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList other);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_minimum_out_out_TensorList_self_TensorList_other_TensorList(SEXP outSEXP, SEXP selfSEXP, SEXP otherSEXP) {
+// cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_other_TensorList
+void cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_other_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList other);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_other_TensorList(SEXP outSEXP, SEXP selfSEXP, SEXP otherSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type other(otherSEXP);
-    cpp_torch_namespace__foreach_minimum_out_out_TensorList_self_TensorList_other_TensorList(out, self, other);
+    cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_other_TensorList(out, self, other);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_add_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar
-void cpp_torch_namespace__foreach_add_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_add_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar(SEXP outSEXP, SEXP selfSEXP, SEXP scalarsSEXP) {
+// cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar
+void cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar(SEXP outSEXP, SEXP selfSEXP, SEXP scalarsSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
     Rcpp::traits::input_parameter< XPtrTorchvector_Scalar >::type scalars(scalarsSEXP);
-    cpp_torch_namespace__foreach_add_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar(out, self, scalars);
+    cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar(out, self, scalars);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar
-void cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar(SEXP outSEXP, SEXP selfSEXP, SEXP scalarsSEXP) {
+// cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_scalar_Scalar
+void cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_scalar_Scalar(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchScalar scalar);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_scalar_Scalar(SEXP outSEXP, SEXP selfSEXP, SEXP scalarSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchvector_Scalar >::type scalars(scalarsSEXP);
-    cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar(out, self, scalars);
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type scalar(scalarSEXP);
+    cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_scalar_Scalar(out, self, scalar);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar
-void cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar(SEXP outSEXP, SEXP selfSEXP, SEXP scalarsSEXP) {
+// cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_other_TensorList
+void cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_other_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList other);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_other_TensorList(SEXP outSEXP, SEXP selfSEXP, SEXP otherSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchvector_Scalar >::type scalars(scalarsSEXP);
-    cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar(out, self, scalars);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type other(otherSEXP);
+    cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_other_TensorList(out, self, other);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar
-void cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar(SEXP outSEXP, SEXP selfSEXP, SEXP scalarsSEXP) {
+// cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar
+void cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar(SEXP outSEXP, SEXP selfSEXP, SEXP scalarsSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
     Rcpp::traits::input_parameter< XPtrTorchvector_Scalar >::type scalars(scalarsSEXP);
-    cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar(out, self, scalars);
+    cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar(out, self, scalars);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar
-void cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar(SEXP outSEXP, SEXP selfSEXP, SEXP scalarsSEXP) {
+// cpp_torch_namespace__foreach_maximum_out_out_TensorList_self_TensorList_scalar_Scalar
+void cpp_torch_namespace__foreach_maximum_out_out_TensorList_self_TensorList_scalar_Scalar(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchScalar scalar);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_maximum_out_out_TensorList_self_TensorList_scalar_Scalar(SEXP outSEXP, SEXP selfSEXP, SEXP scalarSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchvector_Scalar >::type scalars(scalarsSEXP);
-    cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar(out, self, scalars);
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type scalar(scalarSEXP);
+    cpp_torch_namespace__foreach_maximum_out_out_TensorList_self_TensorList_scalar_Scalar(out, self, scalar);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar
-void cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar(SEXP outSEXP, SEXP selfSEXP, SEXP scalarsSEXP) {
+// cpp_torch_namespace__foreach_maximum_out_out_TensorList_self_TensorList_other_TensorList
+void cpp_torch_namespace__foreach_maximum_out_out_TensorList_self_TensorList_other_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList other);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_maximum_out_out_TensorList_self_TensorList_other_TensorList(SEXP outSEXP, SEXP selfSEXP, SEXP otherSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchvector_Scalar >::type scalars(scalarsSEXP);
-    cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar(out, self, scalars);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type other(otherSEXP);
+    cpp_torch_namespace__foreach_maximum_out_out_TensorList_self_TensorList_other_TensorList(out, self, other);
     return R_NilValue;
 END_RCPP
 }
@@ -42575,6 +44383,28 @@ BEGIN_RCPP
     return R_NilValue;
 END_RCPP
 }
+// cpp_torch_namespace__foreach_minimum_out_out_TensorList_self_TensorList_scalar_Scalar
+void cpp_torch_namespace__foreach_minimum_out_out_TensorList_self_TensorList_scalar_Scalar(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchScalar scalar);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_minimum_out_out_TensorList_self_TensorList_scalar_Scalar(SEXP outSEXP, SEXP selfSEXP, SEXP scalarSEXP) {
+BEGIN_RCPP
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type scalar(scalarSEXP);
+    cpp_torch_namespace__foreach_minimum_out_out_TensorList_self_TensorList_scalar_Scalar(out, self, scalar);
+    return R_NilValue;
+END_RCPP
+}
+// cpp_torch_namespace__foreach_minimum_out_out_TensorList_self_TensorList_other_TensorList
+void cpp_torch_namespace__foreach_minimum_out_out_TensorList_self_TensorList_other_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList other);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_minimum_out_out_TensorList_self_TensorList_other_TensorList(SEXP outSEXP, SEXP selfSEXP, SEXP otherSEXP) {
+BEGIN_RCPP
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type other(otherSEXP);
+    cpp_torch_namespace__foreach_minimum_out_out_TensorList_self_TensorList_other_TensorList(out, self, other);
+    return R_NilValue;
+END_RCPP
+}
 // cpp_torch_namespace__foreach_minimum_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar
 void cpp_torch_namespace__foreach_minimum_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars);
 RcppExport SEXP _torch_cpp_torch_namespace__foreach_minimum_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar(SEXP outSEXP, SEXP selfSEXP, SEXP scalarsSEXP) {
@@ -42586,43 +44416,81 @@ BEGIN_RCPP
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_exp_out_out_TensorList_self_TensorList
-void cpp_torch_namespace__foreach_exp_out_out_TensorList_self_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_exp_out_out_TensorList_self_TensorList(SEXP outSEXP, SEXP selfSEXP) {
+// cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList
+void cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchScalar value);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList(SEXP outSEXP, SEXP selfSEXP, SEXP tensor1SEXP, SEXP tensor2SEXP, SEXP valueSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    cpp_torch_namespace__foreach_exp_out_out_TensorList_self_TensorList(out, self);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor1(tensor1SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor2(tensor2SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type value(valueSEXP);
+    cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList(out, self, tensor1, tensor2, value);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_zero_out_out_TensorList_self_TensorList
-void cpp_torch_namespace__foreach_zero_out_out_TensorList_self_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_zero_out_out_TensorList_self_TensorList(SEXP outSEXP, SEXP selfSEXP) {
+// cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar
+void cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchvector_Scalar scalars);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar(SEXP outSEXP, SEXP selfSEXP, SEXP tensor1SEXP, SEXP tensor2SEXP, SEXP scalarsSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    cpp_torch_namespace__foreach_zero_out_out_TensorList_self_TensorList(out, self);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor1(tensor1SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor2(tensor2SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchvector_Scalar >::type scalars(scalarsSEXP);
+    cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar(out, self, tensor1, tensor2, scalars);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_zero_self_TensorList
-XPtrTorchTensorList cpp_torch_namespace__foreach_zero_self_TensorList(XPtrTorchTensorList self);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_zero_self_TensorList(SEXP selfSEXP) {
+// cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor
+void cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchTensor scalars);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor(SEXP outSEXP, SEXP selfSEXP, SEXP tensor1SEXP, SEXP tensor2SEXP, SEXP scalarsSEXP) {
 BEGIN_RCPP
-    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_zero_self_TensorList(self));
-    return rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor1(tensor1SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor2(tensor2SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type scalars(scalarsSEXP);
+    cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor(out, self, tensor1, tensor2, scalars);
+    return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_sqrt_out_out_TensorList_self_TensorList
-void cpp_torch_namespace__foreach_sqrt_out_out_TensorList_self_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_sqrt_out_out_TensorList_self_TensorList(SEXP outSEXP, SEXP selfSEXP) {
+// cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList
+void cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchScalar value);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList(SEXP outSEXP, SEXP selfSEXP, SEXP tensor1SEXP, SEXP tensor2SEXP, SEXP valueSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    cpp_torch_namespace__foreach_sqrt_out_out_TensorList_self_TensorList(out, self);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor1(tensor1SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor2(tensor2SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type value(valueSEXP);
+    cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList(out, self, tensor1, tensor2, value);
+    return R_NilValue;
+END_RCPP
+}
+// cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar
+void cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchvector_Scalar scalars);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar(SEXP outSEXP, SEXP selfSEXP, SEXP tensor1SEXP, SEXP tensor2SEXP, SEXP scalarsSEXP) {
+BEGIN_RCPP
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor1(tensor1SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor2(tensor2SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchvector_Scalar >::type scalars(scalarsSEXP);
+    cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar(out, self, tensor1, tensor2, scalars);
+    return R_NilValue;
+END_RCPP
+}
+// cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor
+void cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchTensor scalars);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor(SEXP outSEXP, SEXP selfSEXP, SEXP tensor1SEXP, SEXP tensor2SEXP, SEXP scalarsSEXP) {
+BEGIN_RCPP
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor1(tensor1SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor2(tensor2SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type scalars(scalarsSEXP);
+    cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor(out, self, tensor1, tensor2, scalars);
     return R_NilValue;
 END_RCPP
 }
@@ -42716,6 +44584,16 @@ BEGIN_RCPP
     return R_NilValue;
 END_RCPP
 }
+// cpp_torch_namespace__foreach_exp_out_out_TensorList_self_TensorList
+void cpp_torch_namespace__foreach_exp_out_out_TensorList_self_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_exp_out_out_TensorList_self_TensorList(SEXP outSEXP, SEXP selfSEXP) {
+BEGIN_RCPP
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    cpp_torch_namespace__foreach_exp_out_out_TensorList_self_TensorList(out, self);
+    return R_NilValue;
+END_RCPP
+}
 // cpp_torch_namespace__foreach_expm1_out_out_TensorList_self_TensorList
 void cpp_torch_namespace__foreach_expm1_out_out_TensorList_self_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self);
 RcppExport SEXP _torch_cpp_torch_namespace__foreach_expm1_out_out_TensorList_self_TensorList(SEXP outSEXP, SEXP selfSEXP) {
@@ -42736,6 +44614,50 @@ BEGIN_RCPP
     return R_NilValue;
 END_RCPP
 }
+// cpp_torch_namespace__foreach_frac_out_out_TensorList_self_TensorList
+void cpp_torch_namespace__foreach_frac_out_out_TensorList_self_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_frac_out_out_TensorList_self_TensorList(SEXP outSEXP, SEXP selfSEXP) {
+BEGIN_RCPP
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    cpp_torch_namespace__foreach_frac_out_out_TensorList_self_TensorList(out, self);
+    return R_NilValue;
+END_RCPP
+}
+// cpp_torch_namespace__foreach_lerp_out_out_TensorList_self_TensorList_tensors1_TensorList_weights_TensorList
+void cpp_torch_namespace__foreach_lerp_out_out_TensorList_self_TensorList_tensors1_TensorList_weights_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList tensors1, XPtrTorchTensorList weights);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_lerp_out_out_TensorList_self_TensorList_tensors1_TensorList_weights_TensorList(SEXP outSEXP, SEXP selfSEXP, SEXP tensors1SEXP, SEXP weightsSEXP) {
+BEGIN_RCPP
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensors1(tensors1SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type weights(weightsSEXP);
+    cpp_torch_namespace__foreach_lerp_out_out_TensorList_self_TensorList_tensors1_TensorList_weights_TensorList(out, self, tensors1, weights);
+    return R_NilValue;
+END_RCPP
+}
+// cpp_torch_namespace__foreach_lerp_out_out_TensorList_self_TensorList_tensors1_TensorList_weight_Scalar
+void cpp_torch_namespace__foreach_lerp_out_out_TensorList_self_TensorList_tensors1_TensorList_weight_Scalar(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList tensors1, XPtrTorchScalar weight);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_lerp_out_out_TensorList_self_TensorList_tensors1_TensorList_weight_Scalar(SEXP outSEXP, SEXP selfSEXP, SEXP tensors1SEXP, SEXP weightSEXP) {
+BEGIN_RCPP
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensors1(tensors1SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type weight(weightSEXP);
+    cpp_torch_namespace__foreach_lerp_out_out_TensorList_self_TensorList_tensors1_TensorList_weight_Scalar(out, self, tensors1, weight);
+    return R_NilValue;
+END_RCPP
+}
+// cpp_torch_namespace__foreach_lgamma_out_out_TensorList_self_TensorList
+void cpp_torch_namespace__foreach_lgamma_out_out_TensorList_self_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_lgamma_out_out_TensorList_self_TensorList(SEXP outSEXP, SEXP selfSEXP) {
+BEGIN_RCPP
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    cpp_torch_namespace__foreach_lgamma_out_out_TensorList_self_TensorList(out, self);
+    return R_NilValue;
+END_RCPP
+}
 // cpp_torch_namespace__foreach_log_out_out_TensorList_self_TensorList
 void cpp_torch_namespace__foreach_log_out_out_TensorList_self_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self);
 RcppExport SEXP _torch_cpp_torch_namespace__foreach_log_out_out_TensorList_self_TensorList(SEXP outSEXP, SEXP selfSEXP) {
@@ -42776,93 +44698,88 @@ BEGIN_RCPP
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_neg_out_out_TensorList_self_TensorList
-void cpp_torch_namespace__foreach_neg_out_out_TensorList_self_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_neg_out_out_TensorList_self_TensorList(SEXP outSEXP, SEXP selfSEXP) {
+// cpp_torch_namespace__foreach_max_out_out_TensorList_self_TensorList
+void cpp_torch_namespace__foreach_max_out_out_TensorList_self_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_max_out_out_TensorList_self_TensorList(SEXP outSEXP, SEXP selfSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    cpp_torch_namespace__foreach_neg_out_out_TensorList_self_TensorList(out, self);
+    cpp_torch_namespace__foreach_max_out_out_TensorList_self_TensorList(out, self);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_tan_out_out_TensorList_self_TensorList
-void cpp_torch_namespace__foreach_tan_out_out_TensorList_self_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_tan_out_out_TensorList_self_TensorList(SEXP outSEXP, SEXP selfSEXP) {
+// cpp_torch_namespace__foreach_neg_out_out_TensorList_self_TensorList
+void cpp_torch_namespace__foreach_neg_out_out_TensorList_self_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_neg_out_out_TensorList_self_TensorList(SEXP outSEXP, SEXP selfSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    cpp_torch_namespace__foreach_tan_out_out_TensorList_self_TensorList(out, self);
+    cpp_torch_namespace__foreach_neg_out_out_TensorList_self_TensorList(out, self);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_tanh_out_out_TensorList_self_TensorList
-void cpp_torch_namespace__foreach_tanh_out_out_TensorList_self_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_tanh_out_out_TensorList_self_TensorList(SEXP outSEXP, SEXP selfSEXP) {
+// cpp_torch_namespace__foreach_norm_out_out_TensorList_self_TensorList
+void cpp_torch_namespace__foreach_norm_out_out_TensorList_self_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchScalar ord, XPtrTorchoptional_scalar_type dtype);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_norm_out_out_TensorList_self_TensorList(SEXP outSEXP, SEXP selfSEXP, SEXP ordSEXP, SEXP dtypeSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    cpp_torch_namespace__foreach_tanh_out_out_TensorList_self_TensorList(out, self);
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type ord(ordSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchoptional_scalar_type >::type dtype(dtypeSEXP);
+    cpp_torch_namespace__foreach_norm_out_out_TensorList_self_TensorList(out, self, ord, dtype);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_sin_out_out_TensorList_self_TensorList
-void cpp_torch_namespace__foreach_sin_out_out_TensorList_self_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_sin_out_out_TensorList_self_TensorList(SEXP outSEXP, SEXP selfSEXP) {
+// cpp_torch_namespace__foreach_pow_out_out_TensorList_self_TensorList_exponent_TensorList
+void cpp_torch_namespace__foreach_pow_out_out_TensorList_self_TensorList_exponent_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList exponent);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_pow_out_out_TensorList_self_TensorList_exponent_TensorList(SEXP outSEXP, SEXP selfSEXP, SEXP exponentSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    cpp_torch_namespace__foreach_sin_out_out_TensorList_self_TensorList(out, self);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type exponent(exponentSEXP);
+    cpp_torch_namespace__foreach_pow_out_out_TensorList_self_TensorList_exponent_TensorList(out, self, exponent);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_sinh_out_out_TensorList_self_TensorList
-void cpp_torch_namespace__foreach_sinh_out_out_TensorList_self_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_sinh_out_out_TensorList_self_TensorList(SEXP outSEXP, SEXP selfSEXP) {
+// cpp_torch_namespace__foreach_pow_out_out_TensorList_self_TensorList_exponent_Scalar
+void cpp_torch_namespace__foreach_pow_out_out_TensorList_self_TensorList_exponent_Scalar(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchScalar exponent);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_pow_out_out_TensorList_self_TensorList_exponent_Scalar(SEXP outSEXP, SEXP selfSEXP, SEXP exponentSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    cpp_torch_namespace__foreach_sinh_out_out_TensorList_self_TensorList(out, self);
-    return R_NilValue;
-END_RCPP
-}
-// cpp_torch_namespace__foreach_round_out_out_TensorList_self_TensorList
-void cpp_torch_namespace__foreach_round_out_out_TensorList_self_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_round_out_out_TensorList_self_TensorList(SEXP outSEXP, SEXP selfSEXP) {
-BEGIN_RCPP
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    cpp_torch_namespace__foreach_round_out_out_TensorList_self_TensorList(out, self);
+    Rcpp::traits::input_parameter< XPtrTorchScalar >::type exponent(exponentSEXP);
+    cpp_torch_namespace__foreach_pow_out_out_TensorList_self_TensorList_exponent_Scalar(out, self, exponent);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_lgamma_out_out_TensorList_self_TensorList
-void cpp_torch_namespace__foreach_lgamma_out_out_TensorList_self_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_lgamma_out_out_TensorList_self_TensorList(SEXP outSEXP, SEXP selfSEXP) {
+// cpp_torch_namespace__foreach_pow_out_out_TensorList_self_TensorList_exponent_ArrayRefScalar
+void cpp_torch_namespace__foreach_pow_out_out_TensorList_self_TensorList_exponent_ArrayRefScalar(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchvector_Scalar exponent);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_pow_out_out_TensorList_self_TensorList_exponent_ArrayRefScalar(SEXP outSEXP, SEXP selfSEXP, SEXP exponentSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    cpp_torch_namespace__foreach_lgamma_out_out_TensorList_self_TensorList(out, self);
+    Rcpp::traits::input_parameter< XPtrTorchvector_Scalar >::type exponent(exponentSEXP);
+    cpp_torch_namespace__foreach_pow_out_out_TensorList_self_TensorList_exponent_ArrayRefScalar(out, self, exponent);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_frac_out_out_TensorList_self_TensorList
-void cpp_torch_namespace__foreach_frac_out_out_TensorList_self_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_frac_out_out_TensorList_self_TensorList(SEXP outSEXP, SEXP selfSEXP) {
+// cpp_torch_namespace__foreach_reciprocal_out_out_TensorList_self_TensorList
+void cpp_torch_namespace__foreach_reciprocal_out_out_TensorList_self_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_reciprocal_out_out_TensorList_self_TensorList(SEXP outSEXP, SEXP selfSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    cpp_torch_namespace__foreach_frac_out_out_TensorList_self_TensorList(out, self);
+    cpp_torch_namespace__foreach_reciprocal_out_out_TensorList_self_TensorList(out, self);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_reciprocal_out_out_TensorList_self_TensorList
-void cpp_torch_namespace__foreach_reciprocal_out_out_TensorList_self_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_reciprocal_out_out_TensorList_self_TensorList(SEXP outSEXP, SEXP selfSEXP) {
+// cpp_torch_namespace__foreach_round_out_out_TensorList_self_TensorList
+void cpp_torch_namespace__foreach_round_out_out_TensorList_self_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_round_out_out_TensorList_self_TensorList(SEXP outSEXP, SEXP selfSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    cpp_torch_namespace__foreach_reciprocal_out_out_TensorList_self_TensorList(out, self);
+    cpp_torch_namespace__foreach_round_out_out_TensorList_self_TensorList(out, self);
     return R_NilValue;
 END_RCPP
 }
@@ -42876,126 +44793,105 @@ BEGIN_RCPP
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_trunc_out_out_TensorList_self_TensorList
-void cpp_torch_namespace__foreach_trunc_out_out_TensorList_self_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_trunc_out_out_TensorList_self_TensorList(SEXP outSEXP, SEXP selfSEXP) {
+// cpp_torch_namespace__foreach_sign_out_out_TensorList_self_TensorList
+void cpp_torch_namespace__foreach_sign_out_out_TensorList_self_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_sign_out_out_TensorList_self_TensorList(SEXP outSEXP, SEXP selfSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    cpp_torch_namespace__foreach_trunc_out_out_TensorList_self_TensorList(out, self);
+    cpp_torch_namespace__foreach_sign_out_out_TensorList_self_TensorList(out, self);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList
-void cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchScalar value);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList(SEXP outSEXP, SEXP selfSEXP, SEXP tensor1SEXP, SEXP tensor2SEXP, SEXP valueSEXP) {
+// cpp_torch_namespace__foreach_sin_out_out_TensorList_self_TensorList
+void cpp_torch_namespace__foreach_sin_out_out_TensorList_self_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_sin_out_out_TensorList_self_TensorList(SEXP outSEXP, SEXP selfSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor1(tensor1SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor2(tensor2SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchScalar >::type value(valueSEXP);
-    cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList(out, self, tensor1, tensor2, value);
+    cpp_torch_namespace__foreach_sin_out_out_TensorList_self_TensorList(out, self);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList
-void cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchScalar value);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList(SEXP outSEXP, SEXP selfSEXP, SEXP tensor1SEXP, SEXP tensor2SEXP, SEXP valueSEXP) {
+// cpp_torch_namespace__foreach_sinh_out_out_TensorList_self_TensorList
+void cpp_torch_namespace__foreach_sinh_out_out_TensorList_self_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_sinh_out_out_TensorList_self_TensorList(SEXP outSEXP, SEXP selfSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor1(tensor1SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor2(tensor2SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchScalar >::type value(valueSEXP);
-    cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList(out, self, tensor1, tensor2, value);
+    cpp_torch_namespace__foreach_sinh_out_out_TensorList_self_TensorList(out, self);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar
-void cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchvector_Scalar scalars);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar(SEXP outSEXP, SEXP selfSEXP, SEXP tensor1SEXP, SEXP tensor2SEXP, SEXP scalarsSEXP) {
+// cpp_torch_namespace__foreach_sqrt_out_out_TensorList_self_TensorList
+void cpp_torch_namespace__foreach_sqrt_out_out_TensorList_self_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_sqrt_out_out_TensorList_self_TensorList(SEXP outSEXP, SEXP selfSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor1(tensor1SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor2(tensor2SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchvector_Scalar >::type scalars(scalarsSEXP);
-    cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar(out, self, tensor1, tensor2, scalars);
+    cpp_torch_namespace__foreach_sqrt_out_out_TensorList_self_TensorList(out, self);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor
-void cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchTensor scalars);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor(SEXP outSEXP, SEXP selfSEXP, SEXP tensor1SEXP, SEXP tensor2SEXP, SEXP scalarsSEXP) {
+// cpp_torch_namespace__foreach_tan_out_out_TensorList_self_TensorList
+void cpp_torch_namespace__foreach_tan_out_out_TensorList_self_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_tan_out_out_TensorList_self_TensorList(SEXP outSEXP, SEXP selfSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor1(tensor1SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor2(tensor2SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type scalars(scalarsSEXP);
-    cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor(out, self, tensor1, tensor2, scalars);
+    cpp_torch_namespace__foreach_tan_out_out_TensorList_self_TensorList(out, self);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar
-void cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchvector_Scalar scalars);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar(SEXP outSEXP, SEXP selfSEXP, SEXP tensor1SEXP, SEXP tensor2SEXP, SEXP scalarsSEXP) {
+// cpp_torch_namespace__foreach_tanh_out_out_TensorList_self_TensorList
+void cpp_torch_namespace__foreach_tanh_out_out_TensorList_self_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_tanh_out_out_TensorList_self_TensorList(SEXP outSEXP, SEXP selfSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor1(tensor1SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor2(tensor2SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchvector_Scalar >::type scalars(scalarsSEXP);
-    cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar(out, self, tensor1, tensor2, scalars);
+    cpp_torch_namespace__foreach_tanh_out_out_TensorList_self_TensorList(out, self);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor
-void cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchTensor scalars);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor(SEXP outSEXP, SEXP selfSEXP, SEXP tensor1SEXP, SEXP tensor2SEXP, SEXP scalarsSEXP) {
+// cpp_torch_namespace__foreach_trunc_out_out_TensorList_self_TensorList
+void cpp_torch_namespace__foreach_trunc_out_out_TensorList_self_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_trunc_out_out_TensorList_self_TensorList(SEXP outSEXP, SEXP selfSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor1(tensor1SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensor2(tensor2SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type scalars(scalarsSEXP);
-    cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor(out, self, tensor1, tensor2, scalars);
+    cpp_torch_namespace__foreach_trunc_out_out_TensorList_self_TensorList(out, self);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_norm_out_out_TensorList_self_TensorList
-void cpp_torch_namespace__foreach_norm_out_out_TensorList_self_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchScalar ord);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_norm_out_out_TensorList_self_TensorList(SEXP outSEXP, SEXP selfSEXP, SEXP ordSEXP) {
+// cpp_torch_namespace__foreach_zero_out_out_TensorList_self_TensorList
+void cpp_torch_namespace__foreach_zero_out_out_TensorList_self_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_zero_out_out_TensorList_self_TensorList(SEXP outSEXP, SEXP selfSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchScalar >::type ord(ordSEXP);
-    cpp_torch_namespace__foreach_norm_out_out_TensorList_self_TensorList(out, self, ord);
+    cpp_torch_namespace__foreach_zero_out_out_TensorList_self_TensorList(out, self);
     return R_NilValue;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_lerp_out_out_TensorList_self_TensorList_tensors1_TensorList_weights_TensorList
-void cpp_torch_namespace__foreach_lerp_out_out_TensorList_self_TensorList_tensors1_TensorList_weights_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList tensors1, XPtrTorchTensorList weights);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_lerp_out_out_TensorList_self_TensorList_tensors1_TensorList_weights_TensorList(SEXP outSEXP, SEXP selfSEXP, SEXP tensors1SEXP, SEXP weightsSEXP) {
+// cpp_torch_namespace__foreach_zero_self_TensorList
+XPtrTorchTensorList cpp_torch_namespace__foreach_zero_self_TensorList(XPtrTorchTensorList self);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_zero_self_TensorList(SEXP selfSEXP) {
 BEGIN_RCPP
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
+    Rcpp::RObject rcpp_result_gen;
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensors1(tensors1SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type weights(weightsSEXP);
-    cpp_torch_namespace__foreach_lerp_out_out_TensorList_self_TensorList_tensors1_TensorList_weights_TensorList(out, self, tensors1, weights);
-    return R_NilValue;
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__foreach_zero_self_TensorList(self));
+    return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__foreach_lerp_out_out_TensorList_self_TensorList_tensors1_TensorList_weight_Scalar
-void cpp_torch_namespace__foreach_lerp_out_out_TensorList_self_TensorList_tensors1_TensorList_weight_Scalar(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList tensors1, XPtrTorchScalar weight);
-RcppExport SEXP _torch_cpp_torch_namespace__foreach_lerp_out_out_TensorList_self_TensorList_tensors1_TensorList_weight_Scalar(SEXP outSEXP, SEXP selfSEXP, SEXP tensors1SEXP, SEXP weightSEXP) {
+// cpp_torch_namespace__foreach_copy_out_out_TensorList_self_TensorList_src_TensorList
+void cpp_torch_namespace__foreach_copy_out_out_TensorList_self_TensorList_src_TensorList(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList src, XPtrTorchbool non_blocking);
+RcppExport SEXP _torch_cpp_torch_namespace__foreach_copy_out_out_TensorList_self_TensorList_src_TensorList(SEXP outSEXP, SEXP selfSEXP, SEXP srcSEXP, SEXP non_blockingSEXP) {
 BEGIN_RCPP
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
     Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type tensors1(tensors1SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchScalar >::type weight(weightSEXP);
-    cpp_torch_namespace__foreach_lerp_out_out_TensorList_self_TensorList_tensors1_TensorList_weight_Scalar(out, self, tensors1, weight);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type src(srcSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type non_blocking(non_blockingSEXP);
+    cpp_torch_namespace__foreach_copy_out_out_TensorList_self_TensorList_src_TensorList(out, self, src, non_blocking);
     return R_NilValue;
 END_RCPP
 }
@@ -43013,22 +44909,6 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace_searchsorted_out_out_Tensor_sorted_sequence_Tensor_self_Scalar
-XPtrTorchTensor cpp_torch_namespace_searchsorted_out_out_Tensor_sorted_sequence_Tensor_self_Scalar(XPtrTorchTensor out, XPtrTorchTensor sorted_sequence, XPtrTorchScalar self, XPtrTorchbool out_int32, XPtrTorchbool right, XPtrTorchoptional_string_view side, XPtrTorchOptionalTensor sorter);
-RcppExport SEXP _torch_cpp_torch_namespace_searchsorted_out_out_Tensor_sorted_sequence_Tensor_self_Scalar(SEXP outSEXP, SEXP sorted_sequenceSEXP, SEXP selfSEXP, SEXP out_int32SEXP, SEXP rightSEXP, SEXP sideSEXP, SEXP sorterSEXP) {
-BEGIN_RCPP
-    Rcpp::RObject rcpp_result_gen;
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type out(outSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type sorted_sequence(sorted_sequenceSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchScalar >::type self(selfSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchbool >::type out_int32(out_int32SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchbool >::type right(rightSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchoptional_string_view >::type side(sideSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type sorter(sorterSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace_searchsorted_out_out_Tensor_sorted_sequence_Tensor_self_Scalar(out, sorted_sequence, self, out_int32, right, side, sorter));
-    return rcpp_result_gen;
-END_RCPP
-}
 // cpp_torch_namespace_glu_jvp_out_out_Tensor_glu_Tensor_x_Tensor_dx_Tensor_dim_int64_t
 XPtrTorchTensor cpp_torch_namespace_glu_jvp_out_out_Tensor_glu_Tensor_x_Tensor_dx_Tensor_dim_int64_t(XPtrTorchTensor out, XPtrTorchTensor glu, XPtrTorchTensor x, XPtrTorchTensor dx, XPtrTorchindex_int64_t dim);
 RcppExport SEXP _torch_cpp_torch_namespace_glu_jvp_out_out_Tensor_glu_Tensor_x_Tensor_dx_Tensor_dim_int64_t(SEXP outSEXP, SEXP gluSEXP, SEXP xSEXP, SEXP dxSEXP, SEXP dimSEXP) {
@@ -43855,66 +45735,6 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
-// cpp_torch_namespace__transformer_decoder_only_layer_fwd_out_out0_Tensor_out1_Tensor_out2_Tensor_src_Tensor_embed_dim_int64_t_num_heads_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor_use_gelu_bool_norm_first_bool_eps_double_norm_weight_1_Tensor_norm_bias_1_Tensor_norm_weight_2_Tensor_norm_bias_2_Tensor_ffn_weight_1_Tensor_ffn_bias_1_Tensor_ffn_weight_2_Tensor_ffn_bias_2_Tensor
-Rcpp::List cpp_torch_namespace__transformer_decoder_only_layer_fwd_out_out0_Tensor_out1_Tensor_out2_Tensor_src_Tensor_embed_dim_int64_t_num_heads_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor_use_gelu_bool_norm_first_bool_eps_double_norm_weight_1_Tensor_norm_bias_1_Tensor_norm_weight_2_Tensor_norm_bias_2_Tensor_ffn_weight_1_Tensor_ffn_bias_1_Tensor_ffn_weight_2_Tensor_ffn_bias_2_Tensor(XPtrTorchTensor out0, XPtrTorchTensor out1, XPtrTorchTensor out2, XPtrTorchTensor src, XPtrTorchint64_t embed_dim, XPtrTorchint64_t num_heads, XPtrTorchTensor qkv_weight, XPtrTorchTensor qkv_bias, XPtrTorchTensor proj_weight, XPtrTorchTensor proj_bias, XPtrTorchbool use_gelu, XPtrTorchbool norm_first, XPtrTorchdouble eps, XPtrTorchTensor norm_weight_1, XPtrTorchTensor norm_bias_1, XPtrTorchTensor norm_weight_2, XPtrTorchTensor norm_bias_2, XPtrTorchTensor ffn_weight_1, XPtrTorchTensor ffn_bias_1, XPtrTorchTensor ffn_weight_2, XPtrTorchTensor ffn_bias_2, XPtrTorchOptionalTensor mask, XPtrTorchOptionalTensor incr_key, XPtrTorchOptionalTensor incr_value);
-RcppExport SEXP _torch_cpp_torch_namespace__transformer_decoder_only_layer_fwd_out_out0_Tensor_out1_Tensor_out2_Tensor_src_Tensor_embed_dim_int64_t_num_heads_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor_use_gelu_bool_norm_first_bool_eps_double_norm_weight_1_Tensor_norm_bias_1_Tensor_norm_weight_2_Tensor_norm_bias_2_Tensor_ffn_weight_1_Tensor_ffn_bias_1_Tensor_ffn_weight_2_Tensor_ffn_bias_2_Tensor(SEXP out0SEXP, SEXP out1SEXP, SEXP out2SEXP, SEXP srcSEXP, SEXP embed_dimSEXP, SEXP num_headsSEXP, SEXP qkv_weightSEXP, SEXP qkv_biasSEXP, SEXP proj_weightSEXP, SEXP proj_biasSEXP, SEXP use_geluSEXP, SEXP norm_firstSEXP, SEXP epsSEXP, SEXP norm_weight_1SEXP, SEXP norm_bias_1SEXP, SEXP norm_weight_2SEXP, SEXP norm_bias_2SEXP, SEXP ffn_weight_1SEXP, SEXP ffn_bias_1SEXP, SEXP ffn_weight_2SEXP, SEXP ffn_bias_2SEXP, SEXP maskSEXP, SEXP incr_keySEXP, SEXP incr_valueSEXP) {
-BEGIN_RCPP
-    Rcpp::RObject rcpp_result_gen;
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type out0(out0SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type out1(out1SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type out2(out2SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type src(srcSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type embed_dim(embed_dimSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type num_heads(num_headsSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type qkv_weight(qkv_weightSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type qkv_bias(qkv_biasSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type proj_weight(proj_weightSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type proj_bias(proj_biasSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchbool >::type use_gelu(use_geluSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchbool >::type norm_first(norm_firstSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchdouble >::type eps(epsSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type norm_weight_1(norm_weight_1SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type norm_bias_1(norm_bias_1SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type norm_weight_2(norm_weight_2SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type norm_bias_2(norm_bias_2SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type ffn_weight_1(ffn_weight_1SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type ffn_bias_1(ffn_bias_1SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type ffn_weight_2(ffn_weight_2SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type ffn_bias_2(ffn_bias_2SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type mask(maskSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type incr_key(incr_keySEXP);
-    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type incr_value(incr_valueSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__transformer_decoder_only_layer_fwd_out_out0_Tensor_out1_Tensor_out2_Tensor_src_Tensor_embed_dim_int64_t_num_heads_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor_use_gelu_bool_norm_first_bool_eps_double_norm_weight_1_Tensor_norm_bias_1_Tensor_norm_weight_2_Tensor_norm_bias_2_Tensor_ffn_weight_1_Tensor_ffn_bias_1_Tensor_ffn_weight_2_Tensor_ffn_bias_2_Tensor(out0, out1, out2, src, embed_dim, num_heads, qkv_weight, qkv_bias, proj_weight, proj_bias, use_gelu, norm_first, eps, norm_weight_1, norm_bias_1, norm_weight_2, norm_bias_2, ffn_weight_1, ffn_bias_1, ffn_weight_2, ffn_bias_2, mask, incr_key, incr_value));
-    return rcpp_result_gen;
-END_RCPP
-}
-// cpp_torch_namespace__native_decoder_only_multi_head_attention_out_out0_Tensor_out1_Tensor_out2_Tensor_out3_Tensor_query_Tensor_key_Tensor_value_Tensor_embed_dim_int64_t_num_head_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor
-Rcpp::List cpp_torch_namespace__native_decoder_only_multi_head_attention_out_out0_Tensor_out1_Tensor_out2_Tensor_out3_Tensor_query_Tensor_key_Tensor_value_Tensor_embed_dim_int64_t_num_head_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor(XPtrTorchTensor out0, XPtrTorchTensor out1, XPtrTorchTensor out2, XPtrTorchTensor out3, XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchint64_t embed_dim, XPtrTorchint64_t num_head, XPtrTorchTensor qkv_weight, XPtrTorchTensor qkv_bias, XPtrTorchTensor proj_weight, XPtrTorchTensor proj_bias, XPtrTorchOptionalTensor mask, XPtrTorchOptionalTensor incr_key, XPtrTorchOptionalTensor incr_value, XPtrTorchbool need_weights, XPtrTorchbool average_attn_weights);
-RcppExport SEXP _torch_cpp_torch_namespace__native_decoder_only_multi_head_attention_out_out0_Tensor_out1_Tensor_out2_Tensor_out3_Tensor_query_Tensor_key_Tensor_value_Tensor_embed_dim_int64_t_num_head_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor(SEXP out0SEXP, SEXP out1SEXP, SEXP out2SEXP, SEXP out3SEXP, SEXP querySEXP, SEXP keySEXP, SEXP valueSEXP, SEXP embed_dimSEXP, SEXP num_headSEXP, SEXP qkv_weightSEXP, SEXP qkv_biasSEXP, SEXP proj_weightSEXP, SEXP proj_biasSEXP, SEXP maskSEXP, SEXP incr_keySEXP, SEXP incr_valueSEXP, SEXP need_weightsSEXP, SEXP average_attn_weightsSEXP) {
-BEGIN_RCPP
-    Rcpp::RObject rcpp_result_gen;
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type out0(out0SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type out1(out1SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type out2(out2SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type out3(out3SEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type query(querySEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type key(keySEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type value(valueSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type embed_dim(embed_dimSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchint64_t >::type num_head(num_headSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type qkv_weight(qkv_weightSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type qkv_bias(qkv_biasSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type proj_weight(proj_weightSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchTensor >::type proj_bias(proj_biasSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type mask(maskSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type incr_key(incr_keySEXP);
-    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type incr_value(incr_valueSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchbool >::type need_weights(need_weightsSEXP);
-    Rcpp::traits::input_parameter< XPtrTorchbool >::type average_attn_weights(average_attn_weightsSEXP);
-    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__native_decoder_only_multi_head_attention_out_out0_Tensor_out1_Tensor_out2_Tensor_out3_Tensor_query_Tensor_key_Tensor_value_Tensor_embed_dim_int64_t_num_head_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor(out0, out1, out2, out3, query, key, value, embed_dim, num_head, qkv_weight, qkv_bias, proj_weight, proj_bias, mask, incr_key, incr_value, need_weights, average_attn_weights));
-    return rcpp_result_gen;
-END_RCPP
-}
 // cpp_torch_namespace__foobar_out_out_Tensor_self_Tensor
 XPtrTorchTensor cpp_torch_namespace__foobar_out_out_Tensor_self_Tensor(XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchbool arg1, XPtrTorchbool arg2, XPtrTorchbool arg3);
 RcppExport SEXP _torch_cpp_torch_namespace__foobar_out_out_Tensor_self_Tensor(SEXP outSEXP, SEXP selfSEXP, SEXP arg1SEXP, SEXP arg2SEXP, SEXP arg3SEXP) {
@@ -43977,6 +45797,54 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_namespace__fused_adam_out_out_TensorList_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool
+void cpp_torch_namespace__fused_adam_out_out_TensorList_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList grads, XPtrTorchTensorList exp_avgs, XPtrTorchTensorList exp_avg_sqs, XPtrTorchTensorList max_exp_avg_sqs, XPtrTorchTensorList state_steps, XPtrTorchTensor lr, XPtrTorchdouble beta1, XPtrTorchdouble beta2, XPtrTorchdouble weight_decay, XPtrTorchdouble eps, XPtrTorchbool amsgrad, XPtrTorchbool maximize, XPtrTorchOptionalTensor grad_scale, XPtrTorchOptionalTensor found_inf);
+RcppExport SEXP _torch_cpp_torch_namespace__fused_adam_out_out_TensorList_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool(SEXP outSEXP, SEXP selfSEXP, SEXP gradsSEXP, SEXP exp_avgsSEXP, SEXP exp_avg_sqsSEXP, SEXP max_exp_avg_sqsSEXP, SEXP state_stepsSEXP, SEXP lrSEXP, SEXP beta1SEXP, SEXP beta2SEXP, SEXP weight_decaySEXP, SEXP epsSEXP, SEXP amsgradSEXP, SEXP maximizeSEXP, SEXP grad_scaleSEXP, SEXP found_infSEXP) {
+BEGIN_RCPP
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type grads(gradsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type exp_avgs(exp_avgsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type exp_avg_sqs(exp_avg_sqsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type max_exp_avg_sqs(max_exp_avg_sqsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type state_steps(state_stepsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type lr(lrSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type beta1(beta1SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type beta2(beta2SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type weight_decay(weight_decaySEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type eps(epsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type amsgrad(amsgradSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type maximize(maximizeSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type grad_scale(grad_scaleSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type found_inf(found_infSEXP);
+    cpp_torch_namespace__fused_adam_out_out_TensorList_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool(out, self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf);
+    return R_NilValue;
+END_RCPP
+}
+// cpp_torch_namespace__fused_adam_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool
+Rcpp::List cpp_torch_namespace__fused_adam_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool(XPtrTorchTensorList self, XPtrTorchTensorList grads, XPtrTorchTensorList exp_avgs, XPtrTorchTensorList exp_avg_sqs, XPtrTorchTensorList max_exp_avg_sqs, XPtrTorchTensorList state_steps, XPtrTorchTensor lr, XPtrTorchdouble beta1, XPtrTorchdouble beta2, XPtrTorchdouble weight_decay, XPtrTorchdouble eps, XPtrTorchbool amsgrad, XPtrTorchbool maximize, XPtrTorchOptionalTensor grad_scale, XPtrTorchOptionalTensor found_inf);
+RcppExport SEXP _torch_cpp_torch_namespace__fused_adam_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool(SEXP selfSEXP, SEXP gradsSEXP, SEXP exp_avgsSEXP, SEXP exp_avg_sqsSEXP, SEXP max_exp_avg_sqsSEXP, SEXP state_stepsSEXP, SEXP lrSEXP, SEXP beta1SEXP, SEXP beta2SEXP, SEXP weight_decaySEXP, SEXP epsSEXP, SEXP amsgradSEXP, SEXP maximizeSEXP, SEXP grad_scaleSEXP, SEXP found_infSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type grads(gradsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type exp_avgs(exp_avgsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type exp_avg_sqs(exp_avg_sqsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type max_exp_avg_sqs(max_exp_avg_sqsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type state_steps(state_stepsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type lr(lrSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type beta1(beta1SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type beta2(beta2SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type weight_decay(weight_decaySEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type eps(epsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type amsgrad(amsgradSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type maximize(maximizeSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type grad_scale(grad_scaleSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type found_inf(found_infSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__fused_adam_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool(self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_namespace__fused_adamw_out_out_TensorList_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_double_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool
 void cpp_torch_namespace__fused_adamw_out_out_TensorList_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_double_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList grads, XPtrTorchTensorList exp_avgs, XPtrTorchTensorList exp_avg_sqs, XPtrTorchTensorList max_exp_avg_sqs, XPtrTorchTensorList state_steps, XPtrTorchdouble lr, XPtrTorchdouble beta1, XPtrTorchdouble beta2, XPtrTorchdouble weight_decay, XPtrTorchdouble eps, XPtrTorchbool amsgrad, XPtrTorchbool maximize, XPtrTorchOptionalTensor grad_scale, XPtrTorchOptionalTensor found_inf);
 RcppExport SEXP _torch_cpp_torch_namespace__fused_adamw_out_out_TensorList_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_double_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool(SEXP outSEXP, SEXP selfSEXP, SEXP gradsSEXP, SEXP exp_avgsSEXP, SEXP exp_avg_sqsSEXP, SEXP max_exp_avg_sqsSEXP, SEXP state_stepsSEXP, SEXP lrSEXP, SEXP beta1SEXP, SEXP beta2SEXP, SEXP weight_decaySEXP, SEXP epsSEXP, SEXP amsgradSEXP, SEXP maximizeSEXP, SEXP grad_scaleSEXP, SEXP found_infSEXP) {
@@ -44025,6 +45893,178 @@ BEGIN_RCPP
     return rcpp_result_gen;
 END_RCPP
 }
+// cpp_torch_namespace__fused_adamw_out_out_TensorList_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool
+void cpp_torch_namespace__fused_adamw_out_out_TensorList_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList grads, XPtrTorchTensorList exp_avgs, XPtrTorchTensorList exp_avg_sqs, XPtrTorchTensorList max_exp_avg_sqs, XPtrTorchTensorList state_steps, XPtrTorchTensor lr, XPtrTorchdouble beta1, XPtrTorchdouble beta2, XPtrTorchdouble weight_decay, XPtrTorchdouble eps, XPtrTorchbool amsgrad, XPtrTorchbool maximize, XPtrTorchOptionalTensor grad_scale, XPtrTorchOptionalTensor found_inf);
+RcppExport SEXP _torch_cpp_torch_namespace__fused_adamw_out_out_TensorList_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool(SEXP outSEXP, SEXP selfSEXP, SEXP gradsSEXP, SEXP exp_avgsSEXP, SEXP exp_avg_sqsSEXP, SEXP max_exp_avg_sqsSEXP, SEXP state_stepsSEXP, SEXP lrSEXP, SEXP beta1SEXP, SEXP beta2SEXP, SEXP weight_decaySEXP, SEXP epsSEXP, SEXP amsgradSEXP, SEXP maximizeSEXP, SEXP grad_scaleSEXP, SEXP found_infSEXP) {
+BEGIN_RCPP
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type grads(gradsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type exp_avgs(exp_avgsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type exp_avg_sqs(exp_avg_sqsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type max_exp_avg_sqs(max_exp_avg_sqsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type state_steps(state_stepsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type lr(lrSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type beta1(beta1SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type beta2(beta2SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type weight_decay(weight_decaySEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type eps(epsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type amsgrad(amsgradSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type maximize(maximizeSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type grad_scale(grad_scaleSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type found_inf(found_infSEXP);
+    cpp_torch_namespace__fused_adamw_out_out_TensorList_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool(out, self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf);
+    return R_NilValue;
+END_RCPP
+}
+// cpp_torch_namespace__fused_adamw_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool
+Rcpp::List cpp_torch_namespace__fused_adamw_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool(XPtrTorchTensorList self, XPtrTorchTensorList grads, XPtrTorchTensorList exp_avgs, XPtrTorchTensorList exp_avg_sqs, XPtrTorchTensorList max_exp_avg_sqs, XPtrTorchTensorList state_steps, XPtrTorchTensor lr, XPtrTorchdouble beta1, XPtrTorchdouble beta2, XPtrTorchdouble weight_decay, XPtrTorchdouble eps, XPtrTorchbool amsgrad, XPtrTorchbool maximize, XPtrTorchOptionalTensor grad_scale, XPtrTorchOptionalTensor found_inf);
+RcppExport SEXP _torch_cpp_torch_namespace__fused_adamw_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool(SEXP selfSEXP, SEXP gradsSEXP, SEXP exp_avgsSEXP, SEXP exp_avg_sqsSEXP, SEXP max_exp_avg_sqsSEXP, SEXP state_stepsSEXP, SEXP lrSEXP, SEXP beta1SEXP, SEXP beta2SEXP, SEXP weight_decaySEXP, SEXP epsSEXP, SEXP amsgradSEXP, SEXP maximizeSEXP, SEXP grad_scaleSEXP, SEXP found_infSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type grads(gradsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type exp_avgs(exp_avgsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type exp_avg_sqs(exp_avg_sqsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type max_exp_avg_sqs(max_exp_avg_sqsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type state_steps(state_stepsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type lr(lrSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type beta1(beta1SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type beta2(beta2SEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type weight_decay(weight_decaySEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type eps(epsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type amsgrad(amsgradSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type maximize(maximizeSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type grad_scale(grad_scaleSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type found_inf(found_infSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__fused_adamw_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool(self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__fused_sgd_out_out_TensorList_self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_double_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool
+void cpp_torch_namespace__fused_sgd_out_out_TensorList_self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_double_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList grads, XPtrTorchTensorList momentum_buffer_list, XPtrTorchdouble weight_decay, XPtrTorchdouble momentum, XPtrTorchdouble lr, XPtrTorchdouble dampening, XPtrTorchbool nesterov, XPtrTorchbool maximize, XPtrTorchbool is_first_step, XPtrTorchOptionalTensor grad_scale, XPtrTorchOptionalTensor found_inf);
+RcppExport SEXP _torch_cpp_torch_namespace__fused_sgd_out_out_TensorList_self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_double_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool(SEXP outSEXP, SEXP selfSEXP, SEXP gradsSEXP, SEXP momentum_buffer_listSEXP, SEXP weight_decaySEXP, SEXP momentumSEXP, SEXP lrSEXP, SEXP dampeningSEXP, SEXP nesterovSEXP, SEXP maximizeSEXP, SEXP is_first_stepSEXP, SEXP grad_scaleSEXP, SEXP found_infSEXP) {
+BEGIN_RCPP
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type grads(gradsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type momentum_buffer_list(momentum_buffer_listSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type weight_decay(weight_decaySEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type momentum(momentumSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type lr(lrSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type dampening(dampeningSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type nesterov(nesterovSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type maximize(maximizeSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type is_first_step(is_first_stepSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type grad_scale(grad_scaleSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type found_inf(found_infSEXP);
+    cpp_torch_namespace__fused_sgd_out_out_TensorList_self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_double_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool(out, self, grads, momentum_buffer_list, weight_decay, momentum, lr, dampening, nesterov, maximize, is_first_step, grad_scale, found_inf);
+    return R_NilValue;
+END_RCPP
+}
+// cpp_torch_namespace__fused_sgd_self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_double_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool
+Rcpp::List cpp_torch_namespace__fused_sgd_self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_double_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool(XPtrTorchTensorList self, XPtrTorchTensorList grads, XPtrTorchTensorList momentum_buffer_list, XPtrTorchdouble weight_decay, XPtrTorchdouble momentum, XPtrTorchdouble lr, XPtrTorchdouble dampening, XPtrTorchbool nesterov, XPtrTorchbool maximize, XPtrTorchbool is_first_step, XPtrTorchOptionalTensor grad_scale, XPtrTorchOptionalTensor found_inf);
+RcppExport SEXP _torch_cpp_torch_namespace__fused_sgd_self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_double_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool(SEXP selfSEXP, SEXP gradsSEXP, SEXP momentum_buffer_listSEXP, SEXP weight_decaySEXP, SEXP momentumSEXP, SEXP lrSEXP, SEXP dampeningSEXP, SEXP nesterovSEXP, SEXP maximizeSEXP, SEXP is_first_stepSEXP, SEXP grad_scaleSEXP, SEXP found_infSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type grads(gradsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type momentum_buffer_list(momentum_buffer_listSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type weight_decay(weight_decaySEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type momentum(momentumSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type lr(lrSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type dampening(dampeningSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type nesterov(nesterovSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type maximize(maximizeSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type is_first_step(is_first_stepSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type grad_scale(grad_scaleSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type found_inf(found_infSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__fused_sgd_self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_double_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool(self, grads, momentum_buffer_list, weight_decay, momentum, lr, dampening, nesterov, maximize, is_first_step, grad_scale, found_inf));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__fused_sgd_out_out_TensorList_self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_Tensor_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool
+void cpp_torch_namespace__fused_sgd_out_out_TensorList_self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_Tensor_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList grads, XPtrTorchTensorList momentum_buffer_list, XPtrTorchdouble weight_decay, XPtrTorchdouble momentum, XPtrTorchTensor lr, XPtrTorchdouble dampening, XPtrTorchbool nesterov, XPtrTorchbool maximize, XPtrTorchbool is_first_step, XPtrTorchOptionalTensor grad_scale, XPtrTorchOptionalTensor found_inf);
+RcppExport SEXP _torch_cpp_torch_namespace__fused_sgd_out_out_TensorList_self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_Tensor_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool(SEXP outSEXP, SEXP selfSEXP, SEXP gradsSEXP, SEXP momentum_buffer_listSEXP, SEXP weight_decaySEXP, SEXP momentumSEXP, SEXP lrSEXP, SEXP dampeningSEXP, SEXP nesterovSEXP, SEXP maximizeSEXP, SEXP is_first_stepSEXP, SEXP grad_scaleSEXP, SEXP found_infSEXP) {
+BEGIN_RCPP
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type grads(gradsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type momentum_buffer_list(momentum_buffer_listSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type weight_decay(weight_decaySEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type momentum(momentumSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type lr(lrSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type dampening(dampeningSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type nesterov(nesterovSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type maximize(maximizeSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type is_first_step(is_first_stepSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type grad_scale(grad_scaleSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type found_inf(found_infSEXP);
+    cpp_torch_namespace__fused_sgd_out_out_TensorList_self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_Tensor_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool(out, self, grads, momentum_buffer_list, weight_decay, momentum, lr, dampening, nesterov, maximize, is_first_step, grad_scale, found_inf);
+    return R_NilValue;
+END_RCPP
+}
+// cpp_torch_namespace__fused_sgd_self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_Tensor_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool
+Rcpp::List cpp_torch_namespace__fused_sgd_self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_Tensor_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool(XPtrTorchTensorList self, XPtrTorchTensorList grads, XPtrTorchTensorList momentum_buffer_list, XPtrTorchdouble weight_decay, XPtrTorchdouble momentum, XPtrTorchTensor lr, XPtrTorchdouble dampening, XPtrTorchbool nesterov, XPtrTorchbool maximize, XPtrTorchbool is_first_step, XPtrTorchOptionalTensor grad_scale, XPtrTorchOptionalTensor found_inf);
+RcppExport SEXP _torch_cpp_torch_namespace__fused_sgd_self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_Tensor_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool(SEXP selfSEXP, SEXP gradsSEXP, SEXP momentum_buffer_listSEXP, SEXP weight_decaySEXP, SEXP momentumSEXP, SEXP lrSEXP, SEXP dampeningSEXP, SEXP nesterovSEXP, SEXP maximizeSEXP, SEXP is_first_stepSEXP, SEXP grad_scaleSEXP, SEXP found_infSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type grads(gradsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type momentum_buffer_list(momentum_buffer_listSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type weight_decay(weight_decaySEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type momentum(momentumSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensor >::type lr(lrSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type dampening(dampeningSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type nesterov(nesterovSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type maximize(maximizeSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type is_first_step(is_first_stepSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type grad_scale(grad_scaleSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type found_inf(found_infSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__fused_sgd_self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_Tensor_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool(self, grads, momentum_buffer_list, weight_decay, momentum, lr, dampening, nesterov, maximize, is_first_step, grad_scale, found_inf));
+    return rcpp_result_gen;
+END_RCPP
+}
+// cpp_torch_namespace__fused_adagrad_out_out_TensorList_self_TensorList_grads_TensorList_state_sums_TensorList_state_steps_TensorList_lr_double_lr_decay_double_weight_decay_double_eps_double_maximize_bool
+void cpp_torch_namespace__fused_adagrad_out_out_TensorList_self_TensorList_grads_TensorList_state_sums_TensorList_state_steps_TensorList_lr_double_lr_decay_double_weight_decay_double_eps_double_maximize_bool(XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList grads, XPtrTorchTensorList state_sums, XPtrTorchTensorList state_steps, XPtrTorchdouble lr, XPtrTorchdouble lr_decay, XPtrTorchdouble weight_decay, XPtrTorchdouble eps, XPtrTorchbool maximize, XPtrTorchOptionalTensor grad_scale, XPtrTorchOptionalTensor found_inf);
+RcppExport SEXP _torch_cpp_torch_namespace__fused_adagrad_out_out_TensorList_self_TensorList_grads_TensorList_state_sums_TensorList_state_steps_TensorList_lr_double_lr_decay_double_weight_decay_double_eps_double_maximize_bool(SEXP outSEXP, SEXP selfSEXP, SEXP gradsSEXP, SEXP state_sumsSEXP, SEXP state_stepsSEXP, SEXP lrSEXP, SEXP lr_decaySEXP, SEXP weight_decaySEXP, SEXP epsSEXP, SEXP maximizeSEXP, SEXP grad_scaleSEXP, SEXP found_infSEXP) {
+BEGIN_RCPP
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type out(outSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type grads(gradsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type state_sums(state_sumsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type state_steps(state_stepsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type lr(lrSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type lr_decay(lr_decaySEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type weight_decay(weight_decaySEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type eps(epsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type maximize(maximizeSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type grad_scale(grad_scaleSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type found_inf(found_infSEXP);
+    cpp_torch_namespace__fused_adagrad_out_out_TensorList_self_TensorList_grads_TensorList_state_sums_TensorList_state_steps_TensorList_lr_double_lr_decay_double_weight_decay_double_eps_double_maximize_bool(out, self, grads, state_sums, state_steps, lr, lr_decay, weight_decay, eps, maximize, grad_scale, found_inf);
+    return R_NilValue;
+END_RCPP
+}
+// cpp_torch_namespace__fused_adagrad_self_TensorList_grads_TensorList_state_sums_TensorList_state_steps_TensorList_lr_double_lr_decay_double_weight_decay_double_eps_double_maximize_bool
+Rcpp::List cpp_torch_namespace__fused_adagrad_self_TensorList_grads_TensorList_state_sums_TensorList_state_steps_TensorList_lr_double_lr_decay_double_weight_decay_double_eps_double_maximize_bool(XPtrTorchTensorList self, XPtrTorchTensorList grads, XPtrTorchTensorList state_sums, XPtrTorchTensorList state_steps, XPtrTorchdouble lr, XPtrTorchdouble lr_decay, XPtrTorchdouble weight_decay, XPtrTorchdouble eps, XPtrTorchbool maximize, XPtrTorchOptionalTensor grad_scale, XPtrTorchOptionalTensor found_inf);
+RcppExport SEXP _torch_cpp_torch_namespace__fused_adagrad_self_TensorList_grads_TensorList_state_sums_TensorList_state_steps_TensorList_lr_double_lr_decay_double_weight_decay_double_eps_double_maximize_bool(SEXP selfSEXP, SEXP gradsSEXP, SEXP state_sumsSEXP, SEXP state_stepsSEXP, SEXP lrSEXP, SEXP lr_decaySEXP, SEXP weight_decaySEXP, SEXP epsSEXP, SEXP maximizeSEXP, SEXP grad_scaleSEXP, SEXP found_infSEXP) {
+BEGIN_RCPP
+    Rcpp::RObject rcpp_result_gen;
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type self(selfSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type grads(gradsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type state_sums(state_sumsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchTensorList >::type state_steps(state_stepsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type lr(lrSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type lr_decay(lr_decaySEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type weight_decay(weight_decaySEXP);
+    Rcpp::traits::input_parameter< XPtrTorchdouble >::type eps(epsSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchbool >::type maximize(maximizeSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type grad_scale(grad_scaleSEXP);
+    Rcpp::traits::input_parameter< XPtrTorchOptionalTensor >::type found_inf(found_infSEXP);
+    rcpp_result_gen = Rcpp::wrap(cpp_torch_namespace__fused_adagrad_self_TensorList_grads_TensorList_state_sums_TensorList_state_steps_TensorList_lr_double_lr_decay_double_weight_decay_double_eps_double_maximize_bool(self, grads, state_sums, state_steps, lr, lr_decay, weight_decay, eps, maximize, grad_scale, found_inf));
+    return rcpp_result_gen;
+END_RCPP
+}
 // cpp_torch_generator
 XPtrTorchGenerator cpp_torch_generator();
 RcppExport SEXP _torch_cpp_torch_generator() {
@@ -45752,9 +47792,11 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_method__is_all_true_self_Tensor", (DL_FUNC) &_torch_cpp_torch_method__is_all_true_self_Tensor, 1},
     {"_torch_cpp_torch_method__is_any_true_self_Tensor", (DL_FUNC) &_torch_cpp_torch_method__is_any_true_self_Tensor, 1},
     {"_torch_cpp_torch_method_all_self_Tensor_dim_int64_t", (DL_FUNC) &_torch_cpp_torch_method_all_self_Tensor_dim_int64_t, 3},
+    {"_torch_cpp_torch_method_all_self_Tensor_dim_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_method_all_self_Tensor_dim_IntArrayRef, 3},
     {"_torch_cpp_torch_method_all_self_Tensor_dim_Dimname", (DL_FUNC) &_torch_cpp_torch_method_all_self_Tensor_dim_Dimname, 3},
     {"_torch_cpp_torch_method_allclose_self_Tensor_other_Tensor", (DL_FUNC) &_torch_cpp_torch_method_allclose_self_Tensor_other_Tensor, 5},
     {"_torch_cpp_torch_method_any_self_Tensor_dim_int64_t", (DL_FUNC) &_torch_cpp_torch_method_any_self_Tensor_dim_int64_t, 3},
+    {"_torch_cpp_torch_method_any_self_Tensor_dim_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_method_any_self_Tensor_dim_IntArrayRef, 3},
     {"_torch_cpp_torch_method_any_self_Tensor_dim_Dimname", (DL_FUNC) &_torch_cpp_torch_method_any_self_Tensor_dim_Dimname, 3},
     {"_torch_cpp_torch_method_argmax_self_Tensor", (DL_FUNC) &_torch_cpp_torch_method_argmax_self_Tensor, 3},
     {"_torch_cpp_torch_method_argmin_self_Tensor", (DL_FUNC) &_torch_cpp_torch_method_argmin_self_Tensor, 3},
@@ -45793,6 +47835,7 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_method_copysign__self_Tensor_other_Tensor", (DL_FUNC) &_torch_cpp_torch_method_copysign__self_Tensor_other_Tensor, 2},
     {"_torch_cpp_torch_method_copysign_self_Tensor_other_Scalar", (DL_FUNC) &_torch_cpp_torch_method_copysign_self_Tensor_other_Scalar, 2},
     {"_torch_cpp_torch_method_copysign__self_Tensor_other_Scalar", (DL_FUNC) &_torch_cpp_torch_method_copysign__self_Tensor_other_Scalar, 2},
+    {"_torch_cpp_torch_method__lazy_clone_self_Tensor", (DL_FUNC) &_torch_cpp_torch_method__lazy_clone_self_Tensor, 1},
     {"_torch_cpp_torch_method_logical_not_self_Tensor", (DL_FUNC) &_torch_cpp_torch_method_logical_not_self_Tensor, 1},
     {"_torch_cpp_torch_method_logical_not__self_Tensor", (DL_FUNC) &_torch_cpp_torch_method_logical_not__self_Tensor, 1},
     {"_torch_cpp_torch_method_logical_xor_self_Tensor_other_Tensor", (DL_FUNC) &_torch_cpp_torch_method_logical_xor_self_Tensor_other_Tensor, 2},
@@ -45914,13 +47957,13 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_method_gcd__self_Tensor_other_Tensor", (DL_FUNC) &_torch_cpp_torch_method_gcd__self_Tensor_other_Tensor, 2},
     {"_torch_cpp_torch_method_lcm_self_Tensor_other_Tensor", (DL_FUNC) &_torch_cpp_torch_method_lcm_self_Tensor_other_Tensor, 2},
     {"_torch_cpp_torch_method_lcm__self_Tensor_other_Tensor", (DL_FUNC) &_torch_cpp_torch_method_lcm__self_Tensor_other_Tensor, 2},
-    {"_torch_cpp_torch_method_index_self_Tensor_indices_constc10Listc10optionalTensor", (DL_FUNC) &_torch_cpp_torch_method_index_self_Tensor_indices_constc10Listc10optionalTensor, 2},
+    {"_torch_cpp_torch_method_index_self_Tensor_indices_constc10ListstdoptionalTensor", (DL_FUNC) &_torch_cpp_torch_method_index_self_Tensor_indices_constc10ListstdoptionalTensor, 2},
     {"_torch_cpp_torch_method_index_copy__self_Tensor_dim_int64_t_index_Tensor_source_Tensor", (DL_FUNC) &_torch_cpp_torch_method_index_copy__self_Tensor_dim_int64_t_index_Tensor_source_Tensor, 4},
     {"_torch_cpp_torch_method_index_copy_self_Tensor_dim_int64_t_index_Tensor_source_Tensor", (DL_FUNC) &_torch_cpp_torch_method_index_copy_self_Tensor_dim_int64_t_index_Tensor_source_Tensor, 4},
     {"_torch_cpp_torch_method_index_copy__self_Tensor_dim_Dimname_index_Tensor_source_Tensor", (DL_FUNC) &_torch_cpp_torch_method_index_copy__self_Tensor_dim_Dimname_index_Tensor_source_Tensor, 4},
     {"_torch_cpp_torch_method_index_copy_self_Tensor_dim_Dimname_index_Tensor_source_Tensor", (DL_FUNC) &_torch_cpp_torch_method_index_copy_self_Tensor_dim_Dimname_index_Tensor_source_Tensor, 4},
-    {"_torch_cpp_torch_method_index_put__self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor", (DL_FUNC) &_torch_cpp_torch_method_index_put__self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor, 4},
-    {"_torch_cpp_torch_method_index_put_self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor", (DL_FUNC) &_torch_cpp_torch_method_index_put_self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor, 4},
+    {"_torch_cpp_torch_method_index_put__self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor", (DL_FUNC) &_torch_cpp_torch_method_index_put__self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor, 4},
+    {"_torch_cpp_torch_method_index_put_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor", (DL_FUNC) &_torch_cpp_torch_method_index_put_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor, 4},
     {"_torch_cpp_torch_method_isclose_self_Tensor_other_Tensor", (DL_FUNC) &_torch_cpp_torch_method_isclose_self_Tensor_other_Tensor, 5},
     {"_torch_cpp_torch_method_isnan_self_Tensor", (DL_FUNC) &_torch_cpp_torch_method_isnan_self_Tensor, 1},
     {"_torch_cpp_torch_method_is_distributed_self_Tensor", (DL_FUNC) &_torch_cpp_torch_method_is_distributed_self_Tensor, 1},
@@ -46055,6 +48098,7 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_method_detach__self_Tensor", (DL_FUNC) &_torch_cpp_torch_method_detach__self_Tensor, 1},
     {"_torch_cpp_torch_method_size_self_Tensor_dim_Dimname", (DL_FUNC) &_torch_cpp_torch_method_size_self_Tensor_dim_Dimname, 2},
     {"_torch_cpp_torch_method_slice_self_Tensor", (DL_FUNC) &_torch_cpp_torch_method_slice_self_Tensor, 5},
+    {"_torch_cpp_torch_method_slice_inverse_self_Tensor_src_Tensor", (DL_FUNC) &_torch_cpp_torch_method_slice_inverse_self_Tensor_src_Tensor, 6},
     {"_torch_cpp_torch_method_slice_scatter_self_Tensor_src_Tensor", (DL_FUNC) &_torch_cpp_torch_method_slice_scatter_self_Tensor_src_Tensor, 6},
     {"_torch_cpp_torch_method_select_scatter_self_Tensor_src_Tensor_dim_int64_t_index_int64_t", (DL_FUNC) &_torch_cpp_torch_method_select_scatter_self_Tensor_src_Tensor_dim_int64_t_index_int64_t, 4},
     {"_torch_cpp_torch_method_diagonal_scatter_self_Tensor_src_Tensor", (DL_FUNC) &_torch_cpp_torch_method_diagonal_scatter_self_Tensor_src_Tensor, 5},
@@ -46118,7 +48162,7 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_method_rot90_self_Tensor", (DL_FUNC) &_torch_cpp_torch_method_rot90_self_Tensor, 3},
     {"_torch_cpp_torch_method__nested_tensor_size_self_Tensor", (DL_FUNC) &_torch_cpp_torch_method__nested_tensor_size_self_Tensor, 1},
     {"_torch_cpp_torch_method__nested_tensor_strides_self_Tensor", (DL_FUNC) &_torch_cpp_torch_method__nested_tensor_strides_self_Tensor, 1},
-    {"_torch_cpp_torch_method__nested_tensor_offsets_self_Tensor", (DL_FUNC) &_torch_cpp_torch_method__nested_tensor_offsets_self_Tensor, 1},
+    {"_torch_cpp_torch_method__nested_tensor_storage_offsets_self_Tensor", (DL_FUNC) &_torch_cpp_torch_method__nested_tensor_storage_offsets_self_Tensor, 1},
     {"_torch_cpp_torch_method_trunc_self_Tensor", (DL_FUNC) &_torch_cpp_torch_method_trunc_self_Tensor, 1},
     {"_torch_cpp_torch_method_trunc__self_Tensor", (DL_FUNC) &_torch_cpp_torch_method_trunc__self_Tensor, 1},
     {"_torch_cpp_torch_method_fix_self_Tensor", (DL_FUNC) &_torch_cpp_torch_method_fix_self_Tensor, 1},
@@ -46160,8 +48204,9 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_method_sparse_resize__self_Tensor_size_IntArrayRef_sparse_dim_int64_t_dense_dim_int64_t", (DL_FUNC) &_torch_cpp_torch_method_sparse_resize__self_Tensor_size_IntArrayRef_sparse_dim_int64_t_dense_dim_int64_t, 4},
     {"_torch_cpp_torch_method_sparse_resize_and_clear__self_Tensor_size_IntArrayRef_sparse_dim_int64_t_dense_dim_int64_t", (DL_FUNC) &_torch_cpp_torch_method_sparse_resize_and_clear__self_Tensor_size_IntArrayRef_sparse_dim_int64_t_dense_dim_int64_t, 4},
     {"_torch_cpp_torch_method_sparse_mask_self_Tensor_mask_Tensor", (DL_FUNC) &_torch_cpp_torch_method_sparse_mask_self_Tensor_mask_Tensor, 2},
-    {"_torch_cpp_torch_method_to_dense_self_Tensor", (DL_FUNC) &_torch_cpp_torch_method_to_dense_self_Tensor, 2},
-    {"_torch_cpp_torch_method__to_dense_self_Tensor", (DL_FUNC) &_torch_cpp_torch_method__to_dense_self_Tensor, 2},
+    {"_torch_cpp_torch_method__sparse_mask_projection_self_Tensor_mask_Tensor", (DL_FUNC) &_torch_cpp_torch_method__sparse_mask_projection_self_Tensor_mask_Tensor, 3},
+    {"_torch_cpp_torch_method_to_dense_self_Tensor", (DL_FUNC) &_torch_cpp_torch_method_to_dense_self_Tensor, 3},
+    {"_torch_cpp_torch_method__to_dense_self_Tensor", (DL_FUNC) &_torch_cpp_torch_method__to_dense_self_Tensor, 3},
     {"_torch_cpp_torch_method_sparse_dim_self_Tensor", (DL_FUNC) &_torch_cpp_torch_method_sparse_dim_self_Tensor, 1},
     {"_torch_cpp_torch_method__dimI_self_Tensor", (DL_FUNC) &_torch_cpp_torch_method__dimI_self_Tensor, 1},
     {"_torch_cpp_torch_method_dense_dim_self_Tensor", (DL_FUNC) &_torch_cpp_torch_method_dense_dim_self_Tensor, 1},
@@ -46181,11 +48226,17 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_method_unbind_self_Tensor_dim_int64_t", (DL_FUNC) &_torch_cpp_torch_method_unbind_self_Tensor_dim_int64_t, 2},
     {"_torch_cpp_torch_method_unbind_self_Tensor_dim_Dimname", (DL_FUNC) &_torch_cpp_torch_method_unbind_self_Tensor_dim_Dimname, 2},
     {"_torch_cpp_torch_method_to_sparse_self_Tensor_sparse_dim_int64_t", (DL_FUNC) &_torch_cpp_torch_method_to_sparse_self_Tensor_sparse_dim_int64_t, 2},
+    {"_torch_cpp_torch_method__to_sparse_self_Tensor_sparse_dim_int64_t", (DL_FUNC) &_torch_cpp_torch_method__to_sparse_self_Tensor_sparse_dim_int64_t, 2},
     {"_torch_cpp_torch_method_to_sparse_self_Tensor", (DL_FUNC) &_torch_cpp_torch_method_to_sparse_self_Tensor, 4},
+    {"_torch_cpp_torch_method__to_sparse_self_Tensor", (DL_FUNC) &_torch_cpp_torch_method__to_sparse_self_Tensor, 4},
     {"_torch_cpp_torch_method_to_sparse_csr_self_Tensor", (DL_FUNC) &_torch_cpp_torch_method_to_sparse_csr_self_Tensor, 2},
+    {"_torch_cpp_torch_method__to_sparse_csr_self_Tensor", (DL_FUNC) &_torch_cpp_torch_method__to_sparse_csr_self_Tensor, 2},
     {"_torch_cpp_torch_method_to_sparse_csc_self_Tensor", (DL_FUNC) &_torch_cpp_torch_method_to_sparse_csc_self_Tensor, 2},
+    {"_torch_cpp_torch_method__to_sparse_csc_self_Tensor", (DL_FUNC) &_torch_cpp_torch_method__to_sparse_csc_self_Tensor, 2},
     {"_torch_cpp_torch_method_to_sparse_bsr_self_Tensor_blocksize_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_method_to_sparse_bsr_self_Tensor_blocksize_IntArrayRef, 3},
+    {"_torch_cpp_torch_method__to_sparse_bsr_self_Tensor_blocksize_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_method__to_sparse_bsr_self_Tensor_blocksize_IntArrayRef, 3},
     {"_torch_cpp_torch_method_to_sparse_bsc_self_Tensor_blocksize_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_method_to_sparse_bsc_self_Tensor_blocksize_IntArrayRef, 3},
+    {"_torch_cpp_torch_method__to_sparse_bsc_self_Tensor_blocksize_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_method__to_sparse_bsc_self_Tensor_blocksize_IntArrayRef, 3},
     {"_torch_cpp_torch_method_to_mkldnn_self_Tensor", (DL_FUNC) &_torch_cpp_torch_method_to_mkldnn_self_Tensor, 2},
     {"_torch_cpp_torch_method_dequantize_self_Tensor", (DL_FUNC) &_torch_cpp_torch_method_dequantize_self_Tensor, 1},
     {"_torch_cpp_torch_method_q_scale_self_Tensor", (DL_FUNC) &_torch_cpp_torch_method_q_scale_self_Tensor, 1},
@@ -46356,6 +48407,7 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_method_index_select_self_Tensor_dim_Dimname_index_Tensor", (DL_FUNC) &_torch_cpp_torch_method_index_select_self_Tensor_dim_Dimname_index_Tensor, 3},
     {"_torch_cpp_torch_method_masked_select_self_Tensor_mask_Tensor", (DL_FUNC) &_torch_cpp_torch_method_masked_select_self_Tensor_mask_Tensor, 2},
     {"_torch_cpp_torch_method_nonzero_self_Tensor", (DL_FUNC) &_torch_cpp_torch_method_nonzero_self_Tensor, 1},
+    {"_torch_cpp_torch_method_nonzero_static_self_Tensor_size_int64_t", (DL_FUNC) &_torch_cpp_torch_method_nonzero_static_self_Tensor_size_int64_t, 3},
     {"_torch_cpp_torch_method_nonzero_numpy_self_Tensor", (DL_FUNC) &_torch_cpp_torch_method_nonzero_numpy_self_Tensor, 1},
     {"_torch_cpp_torch_method_argwhere_self_Tensor", (DL_FUNC) &_torch_cpp_torch_method_argwhere_self_Tensor, 1},
     {"_torch_cpp_torch_method_gather_self_Tensor_dim_int64_t_index_Tensor", (DL_FUNC) &_torch_cpp_torch_method_gather_self_Tensor_dim_int64_t_index_Tensor, 4},
@@ -46480,7 +48532,16 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_namespace__has_same_storage_numel_self_Tensor_other_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__has_same_storage_numel_self_Tensor_other_Tensor, 2},
     {"_torch_cpp_torch_namespace_align_tensors_tensors_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace_align_tensors_tensors_TensorList, 1},
     {"_torch_cpp_torch_namespace__assert_async_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__assert_async_self_Tensor, 1},
+    {"_torch_cpp_torch_namespace__assert_async_self_Tensor_assert_msg_c10string_view", (DL_FUNC) &_torch_cpp_torch_namespace__assert_async_self_Tensor_assert_msg_c10string_view, 2},
+    {"_torch_cpp_torch_namespace__assert_scalar_self_Scalar_assert_msg_c10string_view", (DL_FUNC) &_torch_cpp_torch_namespace__assert_scalar_self_Scalar_assert_msg_c10string_view, 2},
+    {"_torch_cpp_torch_namespace__functional_assert_scalar_self_Scalar_assert_msg_c10string_view_dep_token_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__functional_assert_scalar_self_Scalar_assert_msg_c10string_view_dep_token_Tensor, 3},
+    {"_torch_cpp_torch_namespace__functional_assert_async_self_Tensor_assert_msg_c10string_view_dep_token_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__functional_assert_async_self_Tensor_assert_msg_c10string_view_dep_token_Tensor, 3},
     {"_torch_cpp_torch_namespace__assert_tensor_metadata_a_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__assert_tensor_metadata_a_Tensor, 4},
+    {"_torch_cpp_torch_namespace__print_s_c10string_view", (DL_FUNC) &_torch_cpp_torch_namespace__print_s_c10string_view, 1},
+    {"_torch_cpp_torch_namespace_sym_constrain_range_size_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace_sym_constrain_range_size_Scalar, 3},
+    {"_torch_cpp_torch_namespace_sym_constrain_range_for_size_size_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace_sym_constrain_range_for_size_size_Scalar, 3},
+    {"_torch_cpp_torch_namespace__functional_sym_constrain_range_size_Scalar_min_int64_t_max_int64_t_dep_token_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__functional_sym_constrain_range_size_Scalar_min_int64_t_max_int64_t_dep_token_Tensor, 4},
+    {"_torch_cpp_torch_namespace__functional_sym_constrain_range_for_size_size_Scalar_min_int64_t_max_int64_t_dep_token_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__functional_sym_constrain_range_for_size_size_Scalar_min_int64_t_max_int64_t_dep_token_Tensor, 4},
     {"_torch_cpp_torch_namespace__use_cudnn_ctc_loss_log_probs_Tensor_targets_Tensor_input_lengths_IntArrayRef_target_lengths_IntArrayRef_blank_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace__use_cudnn_ctc_loss_log_probs_Tensor_targets_Tensor_input_lengths_IntArrayRef_target_lengths_IntArrayRef_blank_int64_t, 5},
     {"_torch_cpp_torch_namespace__use_cudnn_ctc_loss_log_probs_Tensor_targets_Tensor_input_lengths_Tensor_target_lengths_Tensor_blank_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace__use_cudnn_ctc_loss_log_probs_Tensor_targets_Tensor_input_lengths_Tensor_target_lengths_Tensor_blank_int64_t, 5},
     {"_torch_cpp_torch_namespace__cudnn_ctc_loss_log_probs_Tensor_targets_Tensor_input_lengths_IntArrayRef_target_lengths_IntArrayRef_blank_int64_t_deterministic_bool_zero_infinity_bool", (DL_FUNC) &_torch_cpp_torch_namespace__cudnn_ctc_loss_log_probs_Tensor_targets_Tensor_input_lengths_IntArrayRef_target_lengths_IntArrayRef_blank_int64_t_deterministic_bool_zero_infinity_bool, 7},
@@ -46557,13 +48618,18 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_namespace__is_all_true_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__is_all_true_self_Tensor, 1},
     {"_torch_cpp_torch_namespace__is_any_true_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__is_any_true_self_Tensor, 1},
     {"_torch_cpp_torch_namespace__test_check_tensor_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__test_check_tensor_self_Tensor, 1},
+    {"_torch_cpp_torch_namespace__test_functorch_fallback_self_Tensor_other_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__test_functorch_fallback_self_Tensor_other_Tensor, 2},
     {"_torch_cpp_torch_namespace_all_self_Tensor_dim_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace_all_self_Tensor_dim_int64_t, 3},
+    {"_torch_cpp_torch_namespace_all_self_Tensor_dim_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace_all_self_Tensor_dim_IntArrayRef, 3},
     {"_torch_cpp_torch_namespace_all_out_out_Tensor_self_Tensor_dim_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace_all_out_out_Tensor_self_Tensor_dim_int64_t, 4},
+    {"_torch_cpp_torch_namespace_all_out_out_Tensor_self_Tensor_dim_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace_all_out_out_Tensor_self_Tensor_dim_IntArrayRef, 4},
     {"_torch_cpp_torch_namespace_all_self_Tensor_dim_Dimname", (DL_FUNC) &_torch_cpp_torch_namespace_all_self_Tensor_dim_Dimname, 3},
     {"_torch_cpp_torch_namespace_all_out_out_Tensor_self_Tensor_dim_Dimname", (DL_FUNC) &_torch_cpp_torch_namespace_all_out_out_Tensor_self_Tensor_dim_Dimname, 4},
     {"_torch_cpp_torch_namespace_allclose_self_Tensor_other_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_allclose_self_Tensor_other_Tensor, 5},
     {"_torch_cpp_torch_namespace_any_self_Tensor_dim_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace_any_self_Tensor_dim_int64_t, 3},
+    {"_torch_cpp_torch_namespace_any_self_Tensor_dim_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace_any_self_Tensor_dim_IntArrayRef, 3},
     {"_torch_cpp_torch_namespace_any_out_out_Tensor_self_Tensor_dim_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace_any_out_out_Tensor_self_Tensor_dim_int64_t, 4},
+    {"_torch_cpp_torch_namespace_any_out_out_Tensor_self_Tensor_dim_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace_any_out_out_Tensor_self_Tensor_dim_IntArrayRef, 4},
     {"_torch_cpp_torch_namespace_any_self_Tensor_dim_Dimname", (DL_FUNC) &_torch_cpp_torch_namespace_any_self_Tensor_dim_Dimname, 3},
     {"_torch_cpp_torch_namespace_any_out_out_Tensor_self_Tensor_dim_Dimname", (DL_FUNC) &_torch_cpp_torch_namespace_any_out_out_Tensor_self_Tensor_dim_Dimname, 4},
     {"_torch_cpp_torch_namespace_arange_end_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace_arange_end_Scalar, 2},
@@ -46637,6 +48703,7 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_namespace_copysign_self_Tensor_other_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_copysign_self_Tensor_other_Tensor, 2},
     {"_torch_cpp_torch_namespace_copysign_self_Tensor_other_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace_copysign_self_Tensor_other_Scalar, 2},
     {"_torch_cpp_torch_namespace_copysign_out_out_Tensor_self_Tensor_other_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace_copysign_out_out_Tensor_self_Tensor_other_Scalar, 3},
+    {"_torch_cpp_torch_namespace__lazy_clone_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__lazy_clone_self_Tensor, 1},
     {"_torch_cpp_torch_namespace_logical_not_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_logical_not_self_Tensor, 1},
     {"_torch_cpp_torch_namespace_logical_not_out_out_Tensor_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_logical_not_out_out_Tensor_self_Tensor, 2},
     {"_torch_cpp_torch_namespace_logical_xor_self_Tensor_other_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_logical_xor_self_Tensor_other_Tensor, 2},
@@ -46743,6 +48810,7 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_namespace_cudnn_batch_norm_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_training_bool_exponential_average_factor_double_epsilon_double", (DL_FUNC) &_torch_cpp_torch_namespace_cudnn_batch_norm_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_training_bool_exponential_average_factor_double_epsilon_double, 8},
     {"_torch_cpp_torch_namespace_cudnn_batch_norm_backward_input_Tensor_grad_output_Tensor_weight_Tensor_running_mean_Tensor_running_var_Tensor_save_mean_Tensor_save_var_Tensor_epsilon_double_reserveSpace_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_cudnn_batch_norm_backward_input_Tensor_grad_output_Tensor_weight_Tensor_running_mean_Tensor_running_var_Tensor_save_mean_Tensor_save_var_Tensor_epsilon_double_reserveSpace_Tensor, 9},
     {"_torch_cpp_torch_namespace_cudnn_convolution_self_Tensor_weight_Tensor_padding_IntArrayRef_stride_IntArrayRef_dilation_IntArrayRef_groups_int64_t_benchmark_bool_deterministic_bool_allow_tf32_bool", (DL_FUNC) &_torch_cpp_torch_namespace_cudnn_convolution_self_Tensor_weight_Tensor_padding_IntArrayRef_stride_IntArrayRef_dilation_IntArrayRef_groups_int64_t_benchmark_bool_deterministic_bool_allow_tf32_bool, 9},
+    {"_torch_cpp_torch_namespace_cudnn_convolution_out_out_Tensor_self_Tensor_weight_Tensor_padding_IntArrayRef_stride_IntArrayRef_dilation_IntArrayRef_groups_int64_t_benchmark_bool_deterministic_bool_allow_tf32_bool", (DL_FUNC) &_torch_cpp_torch_namespace_cudnn_convolution_out_out_Tensor_self_Tensor_weight_Tensor_padding_IntArrayRef_stride_IntArrayRef_dilation_IntArrayRef_groups_int64_t_benchmark_bool_deterministic_bool_allow_tf32_bool, 10},
     {"_torch_cpp_torch_namespace_cudnn_convolution_transpose_self_Tensor_weight_Tensor_padding_IntArrayRef_output_padding_IntArrayRef_stride_IntArrayRef_dilation_IntArrayRef_groups_int64_t_benchmark_bool_deterministic_bool_allow_tf32_bool", (DL_FUNC) &_torch_cpp_torch_namespace_cudnn_convolution_transpose_self_Tensor_weight_Tensor_padding_IntArrayRef_output_padding_IntArrayRef_stride_IntArrayRef_dilation_IntArrayRef_groups_int64_t_benchmark_bool_deterministic_bool_allow_tf32_bool, 10},
     {"_torch_cpp_torch_namespace__mps_convolution_transpose_self_Tensor_weight_Tensor_padding_IntArrayRef_output_padding_IntArrayRef_stride_IntArrayRef_dilation_IntArrayRef_groups_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace__mps_convolution_transpose_self_Tensor_weight_Tensor_padding_IntArrayRef_output_padding_IntArrayRef_stride_IntArrayRef_dilation_IntArrayRef_groups_int64_t, 7},
     {"_torch_cpp_torch_namespace_mps_convolution_transpose_backward_self_Tensor_grad_output_Tensor_weight_Tensor_padding_IntArrayRef_output_padding_IntArrayRef_stride_IntArrayRef_dilation_IntArrayRef_groups_int64_t_output_mask_stdarraybool2", (DL_FUNC) &_torch_cpp_torch_namespace_mps_convolution_transpose_backward_self_Tensor_grad_output_Tensor_weight_Tensor_padding_IntArrayRef_output_padding_IntArrayRef_stride_IntArrayRef_dilation_IntArrayRef_groups_int64_t_output_mask_stdarraybool2, 9},
@@ -46831,6 +48899,7 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_namespace__embedding_bag_per_sample_weights_backward_grad_Tensor_weight_Tensor_indices_Tensor_offsets_Tensor_offset2bag_Tensor_mode_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace__embedding_bag_per_sample_weights_backward_grad_Tensor_weight_Tensor_indices_Tensor_offsets_Tensor_offset2bag_Tensor_mode_int64_t, 7},
     {"_torch_cpp_torch_namespace_empty_size_IntArrayRef_names_DimnameList", (DL_FUNC) &_torch_cpp_torch_namespace_empty_size_IntArrayRef_names_DimnameList, 4},
     {"_torch_cpp_torch_namespace_empty_size_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace_empty_size_IntArrayRef, 3},
+    {"_torch_cpp_torch_namespace_empty_permuted_size_IntArrayRef_physical_layout_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace_empty_permuted_size_IntArrayRef_physical_layout_IntArrayRef, 3},
     {"_torch_cpp_torch_namespace__empty_affine_quantized_size_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace__empty_affine_quantized_size_IntArrayRef, 5},
     {"_torch_cpp_torch_namespace__empty_per_channel_affine_quantized_size_IntArrayRef_scales_Tensor_zero_points_Tensor_axis_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace__empty_per_channel_affine_quantized_size_IntArrayRef_scales_Tensor_zero_points_Tensor_axis_int64_t, 6},
     {"_torch_cpp_torch_namespace__resize_output__self_Tensor_size_IntArrayRef_device_Device", (DL_FUNC) &_torch_cpp_torch_namespace__resize_output__self_Tensor_size_IntArrayRef_device_Device, 3},
@@ -46914,18 +48983,18 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_namespace__fft_c2c_self_Tensor_dim_IntArrayRef_normalization_int64_t_forward_bool", (DL_FUNC) &_torch_cpp_torch_namespace__fft_c2c_self_Tensor_dim_IntArrayRef_normalization_int64_t_forward_bool, 4},
     {"_torch_cpp_torch_namespace__fft_c2c_out_out_Tensor_self_Tensor_dim_IntArrayRef_normalization_int64_t_forward_bool", (DL_FUNC) &_torch_cpp_torch_namespace__fft_c2c_out_out_Tensor_self_Tensor_dim_IntArrayRef_normalization_int64_t_forward_bool, 5},
     {"_torch_cpp_torch_namespace__validate_compressed_sparse_indices_is_crow_bool_compressed_idx_Tensor_plain_idx_Tensor_cdim_int64_t_dim_int64_t_nnz_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace__validate_compressed_sparse_indices_is_crow_bool_compressed_idx_Tensor_plain_idx_Tensor_cdim_int64_t_dim_int64_t_nnz_int64_t, 6},
-    {"_torch_cpp_torch_namespace__cufft_get_plan_cache_size_device_index_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace__cufft_get_plan_cache_size_device_index_int64_t, 1},
-    {"_torch_cpp_torch_namespace__cufft_get_plan_cache_max_size_device_index_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace__cufft_get_plan_cache_max_size_device_index_int64_t, 1},
-    {"_torch_cpp_torch_namespace__cufft_set_plan_cache_max_size_device_index_int64_t_max_size_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace__cufft_set_plan_cache_max_size_device_index_int64_t_max_size_int64_t, 2},
-    {"_torch_cpp_torch_namespace__cufft_clear_plan_cache_device_index_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace__cufft_clear_plan_cache_device_index_int64_t, 1},
-    {"_torch_cpp_torch_namespace_index_self_Tensor_indices_constc10Listc10optionalTensor", (DL_FUNC) &_torch_cpp_torch_namespace_index_self_Tensor_indices_constc10Listc10optionalTensor, 2},
-    {"_torch_cpp_torch_namespace_index_out_out_Tensor_self_Tensor_indices_constc10Listc10optionalTensor", (DL_FUNC) &_torch_cpp_torch_namespace_index_out_out_Tensor_self_Tensor_indices_constc10Listc10optionalTensor, 3},
+    {"_torch_cpp_torch_namespace_index_self_Tensor_indices_constc10ListstdoptionalTensor", (DL_FUNC) &_torch_cpp_torch_namespace_index_self_Tensor_indices_constc10ListstdoptionalTensor, 2},
+    {"_torch_cpp_torch_namespace_index_out_out_Tensor_self_Tensor_indices_constc10ListstdoptionalTensor", (DL_FUNC) &_torch_cpp_torch_namespace_index_out_out_Tensor_self_Tensor_indices_constc10ListstdoptionalTensor, 3},
+    {"_torch_cpp_torch_namespace__unsafe_index_self_Tensor_indices_constc10ListstdoptionalTensor", (DL_FUNC) &_torch_cpp_torch_namespace__unsafe_index_self_Tensor_indices_constc10ListstdoptionalTensor, 2},
+    {"_torch_cpp_torch_namespace__unsafe_masked_index_self_Tensor_mask_Tensor_indices_constc10ListstdoptionalTensor_fill_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__unsafe_masked_index_self_Tensor_mask_Tensor_indices_constc10ListstdoptionalTensor_fill_Scalar, 4},
+    {"_torch_cpp_torch_namespace__unsafe_masked_index_put_accumulate_self_Tensor_mask_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__unsafe_masked_index_put_accumulate_self_Tensor_mask_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor, 4},
     {"_torch_cpp_torch_namespace_index_copy_out_out_Tensor_self_Tensor_dim_int64_t_index_Tensor_source_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_index_copy_out_out_Tensor_self_Tensor_dim_int64_t_index_Tensor_source_Tensor, 5},
     {"_torch_cpp_torch_namespace_index_copy_self_Tensor_dim_int64_t_index_Tensor_source_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_index_copy_self_Tensor_dim_int64_t_index_Tensor_source_Tensor, 4},
     {"_torch_cpp_torch_namespace_index_copy_self_Tensor_dim_Dimname_index_Tensor_source_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_index_copy_self_Tensor_dim_Dimname_index_Tensor_source_Tensor, 4},
-    {"_torch_cpp_torch_namespace_index_put__self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_index_put__self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor, 4},
-    {"_torch_cpp_torch_namespace_index_put_self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_index_put_self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor, 4},
-    {"_torch_cpp_torch_namespace__index_put_impl__self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__index_put_impl__self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor, 5},
+    {"_torch_cpp_torch_namespace_index_put__self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_index_put__self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor, 4},
+    {"_torch_cpp_torch_namespace_index_put_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_index_put_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor, 4},
+    {"_torch_cpp_torch_namespace__unsafe_index_put_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__unsafe_index_put_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor, 4},
+    {"_torch_cpp_torch_namespace__index_put_impl__self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__index_put_impl__self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor, 5},
     {"_torch_cpp_torch_namespace_instance_norm_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_use_input_stats_bool_momentum_double_eps_double_cudnn_enabled_bool", (DL_FUNC) &_torch_cpp_torch_namespace_instance_norm_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_use_input_stats_bool_momentum_double_eps_double_cudnn_enabled_bool, 9},
     {"_torch_cpp_torch_namespace_isclose_self_Tensor_other_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_isclose_self_Tensor_other_Tensor, 5},
     {"_torch_cpp_torch_namespace_isin_out_out_Tensor_elements_Tensor_test_elements_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_isin_out_out_Tensor_elements_Tensor_test_elements_Tensor, 5},
@@ -46956,6 +49025,7 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_namespace_layer_norm_input_Tensor_normalized_shape_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace_layer_norm_input_Tensor_normalized_shape_IntArrayRef, 6},
     {"_torch_cpp_torch_namespace_native_layer_norm_input_Tensor_normalized_shape_IntArrayRef_weight_Tensor_bias_Tensor_eps_double", (DL_FUNC) &_torch_cpp_torch_namespace_native_layer_norm_input_Tensor_normalized_shape_IntArrayRef_weight_Tensor_bias_Tensor_eps_double, 5},
     {"_torch_cpp_torch_namespace_native_layer_norm_backward_grad_out_Tensor_input_Tensor_normalized_shape_IntArrayRef_mean_Tensor_rstd_Tensor_weight_Tensor_bias_Tensor_output_mask_stdarraybool3", (DL_FUNC) &_torch_cpp_torch_namespace_native_layer_norm_backward_grad_out_Tensor_input_Tensor_normalized_shape_IntArrayRef_mean_Tensor_rstd_Tensor_weight_Tensor_bias_Tensor_output_mask_stdarraybool3, 8},
+    {"_torch_cpp_torch_namespace_rms_norm_input_Tensor_normalized_shape_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace_rms_norm_input_Tensor_normalized_shape_IntArrayRef, 4},
     {"_torch_cpp_torch_namespace_nan_to_num_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_nan_to_num_self_Tensor, 4},
     {"_torch_cpp_torch_namespace_nan_to_num__self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_nan_to_num__self_Tensor, 4},
     {"_torch_cpp_torch_namespace_nan_to_num_out_out_Tensor_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_nan_to_num_out_out_Tensor_self_Tensor, 5},
@@ -46966,10 +49036,22 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_namespace_mkldnn_linear_backward_input_input_size_IntArrayRef_grad_output_Tensor_weight_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_mkldnn_linear_backward_input_input_size_IntArrayRef_grad_output_Tensor_weight_Tensor, 3},
     {"_torch_cpp_torch_namespace_mkldnn_linear_backward_weights_grad_output_Tensor_input_Tensor_weight_Tensor_bias_defined_bool", (DL_FUNC) &_torch_cpp_torch_namespace_mkldnn_linear_backward_weights_grad_output_Tensor_input_Tensor_weight_Tensor_bias_defined_bool, 4},
     {"_torch_cpp_torch_namespace_mkldnn_linear_backward_self_Tensor_grad_output_Tensor_weight_Tensor_output_mask_stdarraybool3", (DL_FUNC) &_torch_cpp_torch_namespace_mkldnn_linear_backward_self_Tensor_grad_output_Tensor_weight_Tensor_output_mask_stdarraybool3, 4},
+    {"_torch_cpp_torch_namespace__cslt_compress_input_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__cslt_compress_input_Tensor, 1},
+    {"_torch_cpp_torch_namespace__cslt_sparse_mm_compressed_A_Tensor_dense_B_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__cslt_sparse_mm_compressed_A_Tensor_dense_B_Tensor, 7},
+    {"_torch_cpp_torch_namespace__cslt_sparse_mm_search_compressed_A_Tensor_dense_B_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__cslt_sparse_mm_search_compressed_A_Tensor_dense_B_Tensor, 6},
+    {"_torch_cpp_torch_namespace__sparse_semi_structured_tile_input_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__sparse_semi_structured_tile_input_Tensor, 3},
+    {"_torch_cpp_torch_namespace__sparse_semi_structured_apply_input_Tensor_thread_masks_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__sparse_semi_structured_apply_input_Tensor_thread_masks_Tensor, 2},
+    {"_torch_cpp_torch_namespace__sparse_semi_structured_apply_dense_input_Tensor_thread_masks_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__sparse_semi_structured_apply_dense_input_Tensor_thread_masks_Tensor, 2},
+    {"_torch_cpp_torch_namespace__sparse_semi_structured_linear_input_Tensor_weight_Tensor_meta_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__sparse_semi_structured_linear_input_Tensor_weight_Tensor_meta_Tensor, 6},
+    {"_torch_cpp_torch_namespace__sparse_semi_structured_mm_mat1_Tensor_mat1_meta_Tensor_mat2_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__sparse_semi_structured_mm_mat1_Tensor_mat1_meta_Tensor_mat2_Tensor, 4},
+    {"_torch_cpp_torch_namespace__sparse_semi_structured_addmm_input_Tensor_mat1_Tensor_mat1_meta_Tensor_mat2_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__sparse_semi_structured_addmm_input_Tensor_mat1_Tensor_mat1_meta_Tensor_mat2_Tensor, 7},
+    {"_torch_cpp_torch_namespace__mixed_dtypes_linear_input_Tensor_weight_Tensor_scale_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__mixed_dtypes_linear_input_Tensor_weight_Tensor_scale_Tensor, 5},
     {"_torch_cpp_torch_namespace_fbgemm_linear_int8_weight_fp32_activation_input_Tensor_weight_Tensor_packed_Tensor_col_offsets_Tensor_weight_scale_Scalar_weight_zero_point_Scalar_bias_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_fbgemm_linear_int8_weight_fp32_activation_input_Tensor_weight_Tensor_packed_Tensor_col_offsets_Tensor_weight_scale_Scalar_weight_zero_point_Scalar_bias_Tensor, 7},
     {"_torch_cpp_torch_namespace_fbgemm_linear_int8_weight_input_Tensor_weight_Tensor_packed_Tensor_col_offsets_Tensor_weight_scale_Scalar_weight_zero_point_Scalar_bias_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_fbgemm_linear_int8_weight_input_Tensor_weight_Tensor_packed_Tensor_col_offsets_Tensor_weight_scale_Scalar_weight_zero_point_Scalar_bias_Tensor, 7},
     {"_torch_cpp_torch_namespace_fbgemm_linear_quantize_weight_input_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_fbgemm_linear_quantize_weight_input_Tensor, 1},
     {"_torch_cpp_torch_namespace_fbgemm_pack_gemm_matrix_fp16_input_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_fbgemm_pack_gemm_matrix_fp16_input_Tensor, 1},
+    {"_torch_cpp_torch_namespace__wrapped_linear_prepack_weight_Tensor_weight_scale_Tensor_weight_zero_point_Tensor_bias_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__wrapped_linear_prepack_weight_Tensor_weight_scale_Tensor_weight_zero_point_Tensor_bias_Tensor, 4},
+    {"_torch_cpp_torch_namespace__wrapped_quantized_linear_prepacked_input_Tensor_input_scale_Tensor_input_zero_point_Tensor_packed_weight_Tensor_output_scale_Tensor_output_zero_point_Tensor_out_channel_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace__wrapped_quantized_linear_prepacked_input_Tensor_input_scale_Tensor_input_zero_point_Tensor_packed_weight_Tensor_output_scale_Tensor_output_zero_point_Tensor_out_channel_int64_t, 7},
     {"_torch_cpp_torch_namespace_fbgemm_linear_fp16_weight_fp32_activation_input_Tensor_packed_weight_Tensor_bias_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_fbgemm_linear_fp16_weight_fp32_activation_input_Tensor_packed_weight_Tensor_bias_Tensor, 3},
     {"_torch_cpp_torch_namespace_fbgemm_linear_fp16_weight_input_Tensor_packed_weight_Tensor_bias_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_fbgemm_linear_fp16_weight_input_Tensor_packed_weight_Tensor_bias_Tensor, 3},
     {"_torch_cpp_torch_namespace_fbgemm_pack_quantized_matrix_input_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_fbgemm_pack_quantized_matrix_input_Tensor, 1},
@@ -46978,7 +49060,13 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_namespace_ldexp__self_Tensor_other_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_ldexp__self_Tensor_other_Tensor, 2},
     {"_torch_cpp_torch_namespace_ldexp_out_out_Tensor_self_Tensor_other_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_ldexp_out_out_Tensor_self_Tensor_other_Tensor, 3},
     {"_torch_cpp_torch_namespace_linspace_start_Scalar_end_Scalar_steps_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace_linspace_start_Scalar_end_Scalar_steps_int64_t, 4},
+    {"_torch_cpp_torch_namespace_linspace_start_Tensor_end_Tensor_steps_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace_linspace_start_Tensor_end_Tensor_steps_int64_t, 4},
+    {"_torch_cpp_torch_namespace_linspace_start_Tensor_end_Scalar_steps_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace_linspace_start_Tensor_end_Scalar_steps_int64_t, 4},
+    {"_torch_cpp_torch_namespace_linspace_start_Scalar_end_Tensor_steps_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace_linspace_start_Scalar_end_Tensor_steps_int64_t, 4},
     {"_torch_cpp_torch_namespace_linspace_out_out_Tensor_start_Scalar_end_Scalar_steps_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace_linspace_out_out_Tensor_start_Scalar_end_Scalar_steps_int64_t, 4},
+    {"_torch_cpp_torch_namespace_linspace_out_out_Tensor_start_Tensor_end_Tensor_steps_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace_linspace_out_out_Tensor_start_Tensor_end_Tensor_steps_int64_t, 4},
+    {"_torch_cpp_torch_namespace_linspace_out_out_Tensor_start_Tensor_end_Scalar_steps_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace_linspace_out_out_Tensor_start_Tensor_end_Scalar_steps_int64_t, 4},
+    {"_torch_cpp_torch_namespace_linspace_out_out_Tensor_start_Scalar_end_Tensor_steps_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace_linspace_out_out_Tensor_start_Scalar_end_Tensor_steps_int64_t, 4},
     {"_torch_cpp_torch_namespace_log_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_log_self_Tensor, 1},
     {"_torch_cpp_torch_namespace_log__self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_log__self_Tensor, 1},
     {"_torch_cpp_torch_namespace_log_out_out_Tensor_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_log_out_out_Tensor_self_Tensor, 2},
@@ -47004,7 +49092,13 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_namespace_xlogy_out_out_Tensor_self_Scalar_other_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_xlogy_out_out_Tensor_self_Scalar_other_Tensor, 3},
     {"_torch_cpp_torch_namespace_xlogy_out_out_Tensor_self_Tensor_other_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace_xlogy_out_out_Tensor_self_Tensor_other_Scalar, 3},
     {"_torch_cpp_torch_namespace_logspace_start_Scalar_end_Scalar_steps_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace_logspace_start_Scalar_end_Scalar_steps_int64_t, 5},
+    {"_torch_cpp_torch_namespace_logspace_start_Tensor_end_Tensor_steps_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace_logspace_start_Tensor_end_Tensor_steps_int64_t, 5},
+    {"_torch_cpp_torch_namespace_logspace_start_Tensor_end_Scalar_steps_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace_logspace_start_Tensor_end_Scalar_steps_int64_t, 5},
+    {"_torch_cpp_torch_namespace_logspace_start_Scalar_end_Tensor_steps_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace_logspace_start_Scalar_end_Tensor_steps_int64_t, 5},
     {"_torch_cpp_torch_namespace_logspace_out_out_Tensor_start_Scalar_end_Scalar_steps_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace_logspace_out_out_Tensor_start_Scalar_end_Scalar_steps_int64_t, 5},
+    {"_torch_cpp_torch_namespace_logspace_out_out_Tensor_start_Tensor_end_Tensor_steps_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace_logspace_out_out_Tensor_start_Tensor_end_Tensor_steps_int64_t, 5},
+    {"_torch_cpp_torch_namespace_logspace_out_out_Tensor_start_Tensor_end_Scalar_steps_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace_logspace_out_out_Tensor_start_Tensor_end_Scalar_steps_int64_t, 5},
+    {"_torch_cpp_torch_namespace_logspace_out_out_Tensor_start_Scalar_end_Tensor_steps_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace_logspace_out_out_Tensor_start_Scalar_end_Tensor_steps_int64_t, 5},
     {"_torch_cpp_torch_namespace_log_softmax_self_Tensor_dim_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace_log_softmax_self_Tensor_dim_int64_t, 3},
     {"_torch_cpp_torch_namespace_log_softmax_out_out_Tensor_self_Tensor_dim_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace_log_softmax_out_out_Tensor_self_Tensor_dim_int64_t, 4},
     {"_torch_cpp_torch_namespace_log_softmax_self_Tensor_dim_Dimname", (DL_FUNC) &_torch_cpp_torch_namespace_log_softmax_self_Tensor_dim_Dimname, 3},
@@ -47053,8 +49147,10 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_namespace_mkldnn_max_pool3d_backward_grad_output_Tensor_output_Tensor_input_Tensor_kernel_size_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace_mkldnn_max_pool3d_backward_grad_output_Tensor_output_Tensor_input_Tensor_kernel_size_IntArrayRef, 8},
     {"_torch_cpp_torch_namespace_quantized_max_pool1d_self_Tensor_kernel_size_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace_quantized_max_pool1d_self_Tensor_kernel_size_IntArrayRef, 6},
     {"_torch_cpp_torch_namespace_quantized_max_pool2d_self_Tensor_kernel_size_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace_quantized_max_pool2d_self_Tensor_kernel_size_IntArrayRef, 6},
+    {"_torch_cpp_torch_namespace_quantized_max_pool3d_self_Tensor_kernel_size_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace_quantized_max_pool3d_self_Tensor_kernel_size_IntArrayRef, 6},
     {"_torch_cpp_torch_namespace_max_pool3d_self_Tensor_kernel_size_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace_max_pool3d_self_Tensor_kernel_size_IntArrayRef, 6},
     {"_torch_cpp_torch_namespace_mean_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_mean_self_Tensor, 2},
+    {"_torch_cpp_torch_namespace_mean_out_out_Tensor_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_mean_out_out_Tensor_self_Tensor, 3},
     {"_torch_cpp_torch_namespace_mean_self_Tensor_dim_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace_mean_self_Tensor_dim_IntArrayRef, 4},
     {"_torch_cpp_torch_namespace_mean_out_out_Tensor_self_Tensor_dim_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace_mean_out_out_Tensor_self_Tensor_dim_IntArrayRef, 5},
     {"_torch_cpp_torch_namespace_mean_self_Tensor_dim_DimnameList", (DL_FUNC) &_torch_cpp_torch_namespace_mean_self_Tensor_dim_DimnameList, 4},
@@ -47093,6 +49189,11 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_namespace_miopen_rnn_backward_input_Tensor_weight_TensorList_weight_stride0_int64_t_weight_buf_Tensor_hx_Tensor_cx_Tensor_output_Tensor_grad_output_Tensor_grad_hy_Tensor_grad_cy_Tensor_mode_int64_t_hidden_size_int64_t_num_layers_int64_t_batch_first_bool_dropout_double_train_bool_bidirectional_bool_batch_sizes_IntArrayRef_dropout_state_Tensor_reserve_Tensor_output_mask_stdarraybool4", (DL_FUNC) &_torch_cpp_torch_namespace_miopen_rnn_backward_input_Tensor_weight_TensorList_weight_stride0_int64_t_weight_buf_Tensor_hx_Tensor_cx_Tensor_output_Tensor_grad_output_Tensor_grad_hy_Tensor_grad_cy_Tensor_mode_int64_t_hidden_size_int64_t_num_layers_int64_t_batch_first_bool_dropout_double_train_bool_bidirectional_bool_batch_sizes_IntArrayRef_dropout_state_Tensor_reserve_Tensor_output_mask_stdarraybool4, 21},
     {"_torch_cpp_torch_namespace_mm_self_Tensor_mat2_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_mm_self_Tensor_mat2_Tensor, 2},
     {"_torch_cpp_torch_namespace_mm_out_out_Tensor_self_Tensor_mat2_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_mm_out_out_Tensor_self_Tensor_mat2_Tensor, 3},
+    {"_torch_cpp_torch_namespace__int_mm_self_Tensor_mat2_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__int_mm_self_Tensor_mat2_Tensor, 2},
+    {"_torch_cpp_torch_namespace__int_mm_out_out_Tensor_self_Tensor_mat2_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__int_mm_out_out_Tensor_self_Tensor_mat2_Tensor, 3},
+    {"_torch_cpp_torch_namespace__convert_weight_to_int4pack_self_Tensor_innerKTiles_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace__convert_weight_to_int4pack_self_Tensor_innerKTiles_int64_t, 2},
+    {"_torch_cpp_torch_namespace__weight_int4pack_mm_self_Tensor_mat2_Tensor_qGroupSize_int64_t_qScaleAndZeros_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__weight_int4pack_mm_self_Tensor_mat2_Tensor_qGroupSize_int64_t_qScaleAndZeros_Tensor, 4},
+    {"_torch_cpp_torch_namespace__weight_int8pack_mm_self_Tensor_mat2_Tensor_scales_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__weight_int8pack_mm_self_Tensor_mat2_Tensor_scales_Tensor, 3},
     {"_torch_cpp_torch_namespace__sparse_mm_sparse_Tensor_dense_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__sparse_mm_sparse_Tensor_dense_Tensor, 2},
     {"_torch_cpp_torch_namespace__sparse_mm_sparse_Tensor_dense_Tensor_reduce_c10string_view", (DL_FUNC) &_torch_cpp_torch_namespace__sparse_mm_sparse_Tensor_dense_Tensor_reduce_c10string_view, 3},
     {"_torch_cpp_torch_namespace__sparse_sparse_matmul_self_Tensor_other_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__sparse_sparse_matmul_self_Tensor_other_Tensor, 2},
@@ -47117,6 +49218,7 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_namespace_native_batch_norm_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_training_bool_momentum_double_eps_double", (DL_FUNC) &_torch_cpp_torch_namespace_native_batch_norm_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_training_bool_momentum_double_eps_double, 8},
     {"_torch_cpp_torch_namespace_native_batch_norm_out_out_Tensor_save_mean_Tensor_save_invstd_Tensor_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_training_bool_momentum_double_eps_double", (DL_FUNC) &_torch_cpp_torch_namespace_native_batch_norm_out_out_Tensor_save_mean_Tensor_save_invstd_Tensor_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_training_bool_momentum_double_eps_double, 11},
     {"_torch_cpp_torch_namespace__native_batch_norm_legit_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_training_bool_momentum_double_eps_double", (DL_FUNC) &_torch_cpp_torch_namespace__native_batch_norm_legit_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_training_bool_momentum_double_eps_double, 8},
+    {"_torch_cpp_torch_namespace__native_batch_norm_legit_no_training_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double", (DL_FUNC) &_torch_cpp_torch_namespace__native_batch_norm_legit_no_training_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double, 7},
     {"_torch_cpp_torch_namespace__native_batch_norm_legit_out_out_Tensor_save_mean_Tensor_save_invstd_Tensor_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_training_bool_momentum_double_eps_double", (DL_FUNC) &_torch_cpp_torch_namespace__native_batch_norm_legit_out_out_Tensor_save_mean_Tensor_save_invstd_Tensor_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_training_bool_momentum_double_eps_double, 11},
     {"_torch_cpp_torch_namespace__native_batch_norm_legit_input_Tensor_weight_Tensor_bias_Tensor_training_bool_momentum_double_eps_double", (DL_FUNC) &_torch_cpp_torch_namespace__native_batch_norm_legit_input_Tensor_weight_Tensor_bias_Tensor_training_bool_momentum_double_eps_double, 6},
     {"_torch_cpp_torch_namespace__native_batch_norm_legit_out_out_Tensor_save_mean_Tensor_save_invstd_Tensor_input_Tensor_weight_Tensor_bias_Tensor_training_bool_momentum_double_eps_double", (DL_FUNC) &_torch_cpp_torch_namespace__native_batch_norm_legit_out_out_Tensor_save_mean_Tensor_save_invstd_Tensor_input_Tensor_weight_Tensor_bias_Tensor_training_bool_momentum_double_eps_double, 9},
@@ -47127,7 +49229,7 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_namespace_batch_norm_gather_stats_with_counts_input_Tensor_mean_Tensor_invstd_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double_counts_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_batch_norm_gather_stats_with_counts_input_Tensor_mean_Tensor_invstd_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double_counts_Tensor, 8},
     {"_torch_cpp_torch_namespace_native_batch_norm_backward_grad_out_Tensor_input_Tensor_weight_Tensor_running_mean_Tensor_running_var_Tensor_save_mean_Tensor_save_invstd_Tensor_train_bool_eps_double_output_mask_stdarraybool3", (DL_FUNC) &_torch_cpp_torch_namespace_native_batch_norm_backward_grad_out_Tensor_input_Tensor_weight_Tensor_running_mean_Tensor_running_var_Tensor_save_mean_Tensor_save_invstd_Tensor_train_bool_eps_double_output_mask_stdarraybool3, 10},
     {"_torch_cpp_torch_namespace_batch_norm_backward_reduce_grad_out_Tensor_input_Tensor_mean_Tensor_invstd_Tensor_weight_Tensor_input_g_bool_weight_g_bool_bias_g_bool", (DL_FUNC) &_torch_cpp_torch_namespace_batch_norm_backward_reduce_grad_out_Tensor_input_Tensor_mean_Tensor_invstd_Tensor_weight_Tensor_input_g_bool_weight_g_bool_bias_g_bool, 8},
-    {"_torch_cpp_torch_namespace_batch_norm_backward_elemt_grad_out_Tensor_input_Tensor_mean_Tensor_invstd_Tensor_weight_Tensor_mean_dy_Tensor_mean_dy_xmu_Tensor_count_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_batch_norm_backward_elemt_grad_out_Tensor_input_Tensor_mean_Tensor_invstd_Tensor_weight_Tensor_mean_dy_Tensor_mean_dy_xmu_Tensor_count_Tensor, 8},
+    {"_torch_cpp_torch_namespace_batch_norm_backward_elemt_grad_out_Tensor_input_Tensor_mean_Tensor_invstd_Tensor_weight_Tensor_sum_dy_Tensor_sum_dy_xmu_Tensor_count_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_batch_norm_backward_elemt_grad_out_Tensor_input_Tensor_mean_Tensor_invstd_Tensor_weight_Tensor_sum_dy_Tensor_sum_dy_xmu_Tensor_count_Tensor, 8},
     {"_torch_cpp_torch_namespace_batch_norm_update_stats_input_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double", (DL_FUNC) &_torch_cpp_torch_namespace_batch_norm_update_stats_input_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double, 4},
     {"_torch_cpp_torch_namespace__nnpack_spatial_convolution_input_Tensor_weight_Tensor_bias_Tensor_padding_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace__nnpack_spatial_convolution_input_Tensor_weight_Tensor_bias_Tensor_padding_IntArrayRef, 5},
     {"_torch_cpp_torch_namespace_ones_size_IntArrayRef_names_DimnameList", (DL_FUNC) &_torch_cpp_torch_namespace_ones_size_IntArrayRef_names_DimnameList, 3},
@@ -47276,6 +49378,7 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_namespace_size_self_Tensor_dim_Dimname", (DL_FUNC) &_torch_cpp_torch_namespace_size_self_Tensor_dim_Dimname, 2},
     {"_torch_cpp_torch_namespace_slice_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_slice_self_Tensor, 5},
     {"_torch_cpp_torch_namespace_slice_backward_grad_output_Tensor_input_sizes_IntArrayRef_dim_int64_t_start_int64_t_end_int64_t_step_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace_slice_backward_grad_output_Tensor_input_sizes_IntArrayRef_dim_int64_t_start_int64_t_end_int64_t_step_int64_t, 6},
+    {"_torch_cpp_torch_namespace_slice_inverse_self_Tensor_src_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_slice_inverse_self_Tensor_src_Tensor, 6},
     {"_torch_cpp_torch_namespace_slice_scatter_self_Tensor_src_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_slice_scatter_self_Tensor_src_Tensor, 6},
     {"_torch_cpp_torch_namespace_select_scatter_self_Tensor_src_Tensor_dim_int64_t_index_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace_select_scatter_self_Tensor_src_Tensor_dim_int64_t_index_int64_t, 4},
     {"_torch_cpp_torch_namespace_diagonal_scatter_self_Tensor_src_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_diagonal_scatter_self_Tensor_src_Tensor, 5},
@@ -47305,6 +49408,8 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_namespace_squeeze_self_Tensor_dim_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace_squeeze_self_Tensor_dim_IntArrayRef, 2},
     {"_torch_cpp_torch_namespace_sspaddmm_self_Tensor_mat1_Tensor_mat2_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_sspaddmm_self_Tensor_mat1_Tensor_mat2_Tensor, 5},
     {"_torch_cpp_torch_namespace_sspaddmm_out_out_Tensor_self_Tensor_mat1_Tensor_mat2_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_sspaddmm_out_out_Tensor_self_Tensor_mat1_Tensor_mat2_Tensor, 6},
+    {"_torch_cpp_torch_namespace__chunk_cat_tensors_TensorList_dim_int64_t_num_chunks_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace__chunk_cat_tensors_TensorList_dim_int64_t_num_chunks_int64_t, 3},
+    {"_torch_cpp_torch_namespace__chunk_cat_out_out_Tensor_tensors_TensorList_dim_int64_t_num_chunks_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace__chunk_cat_out_out_Tensor_tensors_TensorList_dim_int64_t_num_chunks_int64_t, 4},
     {"_torch_cpp_torch_namespace_stack_tensors_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace_stack_tensors_TensorList, 2},
     {"_torch_cpp_torch_namespace_stack_out_out_Tensor_tensors_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace_stack_out_out_Tensor_tensors_TensorList, 3},
     {"_torch_cpp_torch_namespace__stack_tensors_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__stack_tensors_TensorList, 2},
@@ -47380,8 +49485,19 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_namespace__nested_tensor_from_mask_left_aligned_t_Tensor_mask_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__nested_tensor_from_mask_left_aligned_t_Tensor_mask_Tensor, 2},
     {"_torch_cpp_torch_namespace__nested_from_padded_padded_Tensor_cpu_nested_shape_example_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__nested_from_padded_padded_Tensor_cpu_nested_shape_example_Tensor, 3},
     {"_torch_cpp_torch_namespace__nested_from_padded_and_nested_example_padded_Tensor_nt_example_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__nested_from_padded_and_nested_example_padded_Tensor_nt_example_Tensor, 2},
-    {"_torch_cpp_torch_namespace__nested_view_from_buffer_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace__nested_view_from_buffer_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_IntArrayRef, 4},
-    {"_torch_cpp_torch_namespace__nested_view_from_buffer_copy_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace__nested_view_from_buffer_copy_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_IntArrayRef, 4},
+    {"_torch_cpp_torch_namespace__nested_view_from_buffer_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__nested_view_from_buffer_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_Tensor, 4},
+    {"_torch_cpp_torch_namespace__nested_view_from_buffer_copy_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__nested_view_from_buffer_copy_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_Tensor, 4},
+    {"_torch_cpp_torch_namespace__nested_view_from_jagged_self_Tensor_offsets_Tensor_dummy_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__nested_view_from_jagged_self_Tensor_offsets_Tensor_dummy_Tensor, 7},
+    {"_torch_cpp_torch_namespace__nested_view_from_jagged_copy_self_Tensor_offsets_Tensor_dummy_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__nested_view_from_jagged_copy_self_Tensor_offsets_Tensor_dummy_Tensor, 7},
+    {"_torch_cpp_torch_namespace__nested_get_values_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__nested_get_values_self_Tensor, 1},
+    {"_torch_cpp_torch_namespace__nested_get_values_copy_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__nested_get_values_copy_self_Tensor, 1},
+    {"_torch_cpp_torch_namespace__nested_get_offsets_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__nested_get_offsets_self_Tensor, 1},
+    {"_torch_cpp_torch_namespace__nested_get_lengths_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__nested_get_lengths_self_Tensor, 1},
+    {"_torch_cpp_torch_namespace__nested_get_ragged_idx_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__nested_get_ragged_idx_self_Tensor, 1},
+    {"_torch_cpp_torch_namespace__nested_get_min_seqlen_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__nested_get_min_seqlen_self_Tensor, 1},
+    {"_torch_cpp_torch_namespace__nested_get_max_seqlen_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__nested_get_max_seqlen_self_Tensor, 1},
+    {"_torch_cpp_torch_namespace__nested_get_jagged_dummy_any_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__nested_get_jagged_dummy_any_Tensor, 1},
+    {"_torch_cpp_torch_namespace__nested_compute_contiguous_strides_offsets_nested_size_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__nested_compute_contiguous_strides_offsets_nested_size_Tensor, 1},
     {"_torch_cpp_torch_namespace__trilinear_i1_Tensor_i2_Tensor_i3_Tensor_expand1_IntArrayRef_expand2_IntArrayRef_expand3_IntArrayRef_sumdim_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace__trilinear_i1_Tensor_i2_Tensor_i3_Tensor_expand1_IntArrayRef_expand2_IntArrayRef_expand3_IntArrayRef_sumdim_IntArrayRef, 8},
     {"_torch_cpp_torch_namespace_triplet_margin_loss_anchor_Tensor_positive_Tensor_negative_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_triplet_margin_loss_anchor_Tensor_positive_Tensor_negative_Tensor, 8},
     {"_torch_cpp_torch_namespace_trunc_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_trunc_self_Tensor, 1},
@@ -47431,6 +49547,10 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_namespace_binomial_count_Tensor_prob_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_binomial_count_Tensor_prob_Tensor, 3},
     {"_torch_cpp_torch_namespace_native_norm_self_Tensor_p_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace_native_norm_self_Tensor_p_Scalar, 2},
     {"_torch_cpp_torch_namespace_native_norm_self_Tensor_p_Scalar_dim_IntArrayRef_keepdim_bool_dtype_ScalarType", (DL_FUNC) &_torch_cpp_torch_namespace_native_norm_self_Tensor_p_Scalar_dim_IntArrayRef_keepdim_bool_dtype_ScalarType, 5},
+    {"_torch_cpp_torch_namespace__batch_norm_with_update_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double", (DL_FUNC) &_torch_cpp_torch_namespace__batch_norm_with_update_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double, 7},
+    {"_torch_cpp_torch_namespace__batch_norm_with_update_out_out_Tensor_save_mean_Tensor_save_invstd_Tensor_reserve_Tensor_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double", (DL_FUNC) &_torch_cpp_torch_namespace__batch_norm_with_update_out_out_Tensor_save_mean_Tensor_save_invstd_Tensor_reserve_Tensor_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double, 11},
+    {"_torch_cpp_torch_namespace__batch_norm_no_update_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double", (DL_FUNC) &_torch_cpp_torch_namespace__batch_norm_no_update_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double, 7},
+    {"_torch_cpp_torch_namespace_batch_norm_backward_grad_out_Tensor_input_Tensor_weight_Tensor_running_mean_Tensor_running_var_Tensor_save_mean_Tensor_save_var_Tensor_update_bool_eps_double_output_mask_stdarraybool3_reserve_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_batch_norm_backward_grad_out_Tensor_input_Tensor_weight_Tensor_running_mean_Tensor_running_var_Tensor_save_mean_Tensor_save_var_Tensor_update_bool_eps_double_output_mask_stdarraybool3_reserve_Tensor, 11},
     {"_torch_cpp_torch_namespace__sparse_sum_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__sparse_sum_self_Tensor, 1},
     {"_torch_cpp_torch_namespace__sparse_sum_self_Tensor_dtype_ScalarType", (DL_FUNC) &_torch_cpp_torch_namespace__sparse_sum_self_Tensor_dtype_ScalarType, 2},
     {"_torch_cpp_torch_namespace__sparse_sum_self_Tensor_dim_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace__sparse_sum_self_Tensor_dim_IntArrayRef, 2},
@@ -47489,6 +49609,9 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_namespace_addmm_self_Tensor_mat1_Tensor_mat2_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_addmm_self_Tensor_mat1_Tensor_mat2_Tensor, 5},
     {"_torch_cpp_torch_namespace__addmm_activation_out_out_Tensor_self_Tensor_mat1_Tensor_mat2_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__addmm_activation_out_out_Tensor_self_Tensor_mat1_Tensor_mat2_Tensor, 7},
     {"_torch_cpp_torch_namespace__addmm_activation_self_Tensor_mat1_Tensor_mat2_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__addmm_activation_self_Tensor_mat1_Tensor_mat2_Tensor, 6},
+    {"_torch_cpp_torch_namespace__scaled_mm_self_Tensor_mat2_Tensor_scale_a_Tensor_scale_b_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__scaled_mm_self_Tensor_mat2_Tensor_scale_a_Tensor_scale_b_Tensor, 8},
+    {"_torch_cpp_torch_namespace__scaled_mm_out_out_Tensor_self_Tensor_mat2_Tensor_scale_a_Tensor_scale_b_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__scaled_mm_out_out_Tensor_self_Tensor_mat2_Tensor_scale_a_Tensor_scale_b_Tensor, 9},
+    {"_torch_cpp_torch_namespace__sparse_compressed_tensor_with_dims_nnz_int64_t_dense_dim_int64_t_size_IntArrayRef_blocksize_IntArrayRef_index_dtype_ScalarType_options_TensorOptions", (DL_FUNC) &_torch_cpp_torch_namespace__sparse_compressed_tensor_with_dims_nnz_int64_t_dense_dim_int64_t_size_IntArrayRef_blocksize_IntArrayRef_index_dtype_ScalarType_options_TensorOptions, 6},
     {"_torch_cpp_torch_namespace_sparse_compressed_tensor_compressed_indices_Tensor_plain_indices_Tensor_values_Tensor_size_IntArrayRef_options_TensorOptions", (DL_FUNC) &_torch_cpp_torch_namespace_sparse_compressed_tensor_compressed_indices_Tensor_plain_indices_Tensor_values_Tensor_size_IntArrayRef_options_TensorOptions, 5},
     {"_torch_cpp_torch_namespace_sparse_csr_tensor_crow_indices_Tensor_col_indices_Tensor_values_Tensor_size_IntArrayRef_options_TensorOptions", (DL_FUNC) &_torch_cpp_torch_namespace_sparse_csr_tensor_crow_indices_Tensor_col_indices_Tensor_values_Tensor_size_IntArrayRef_options_TensorOptions, 5},
     {"_torch_cpp_torch_namespace_sparse_csc_tensor_ccol_indices_Tensor_row_indices_Tensor_values_Tensor_size_IntArrayRef_options_TensorOptions", (DL_FUNC) &_torch_cpp_torch_namespace_sparse_csc_tensor_ccol_indices_Tensor_row_indices_Tensor_values_Tensor_size_IntArrayRef_options_TensorOptions, 5},
@@ -47505,27 +49628,28 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_namespace__sparse_bsr_tensor_unsafe_crow_indices_Tensor_col_indices_Tensor_values_Tensor_size_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace__sparse_bsr_tensor_unsafe_crow_indices_Tensor_col_indices_Tensor_values_Tensor_size_IntArrayRef, 5},
     {"_torch_cpp_torch_namespace__sparse_bsc_tensor_unsafe_ccol_indices_Tensor_row_indices_Tensor_values_Tensor_size_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace__sparse_bsc_tensor_unsafe_ccol_indices_Tensor_row_indices_Tensor_values_Tensor_size_IntArrayRef, 5},
     {"_torch_cpp_torch_namespace_sparse_coo_tensor_size_IntArrayRef_options_TensorOptions", (DL_FUNC) &_torch_cpp_torch_namespace_sparse_coo_tensor_size_IntArrayRef_options_TensorOptions, 2},
-    {"_torch_cpp_torch_namespace_sparse_coo_tensor_indices_Tensor_values_Tensor_options_TensorOptions", (DL_FUNC) &_torch_cpp_torch_namespace_sparse_coo_tensor_indices_Tensor_values_Tensor_options_TensorOptions, 3},
-    {"_torch_cpp_torch_namespace_sparse_coo_tensor_indices_Tensor_values_Tensor_size_IntArrayRef_options_TensorOptions", (DL_FUNC) &_torch_cpp_torch_namespace_sparse_coo_tensor_indices_Tensor_values_Tensor_size_IntArrayRef_options_TensorOptions, 4},
-    {"_torch_cpp_torch_namespace__sparse_coo_tensor_unsafe_indices_Tensor_values_Tensor_size_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace__sparse_coo_tensor_unsafe_indices_Tensor_values_Tensor_size_IntArrayRef, 4},
-    {"_torch_cpp_torch_namespace__validate_sparse_coo_tensor_args_indices_Tensor_values_Tensor_size_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace__validate_sparse_coo_tensor_args_indices_Tensor_values_Tensor_size_IntArrayRef, 3},
+    {"_torch_cpp_torch_namespace_sparse_coo_tensor_indices_Tensor_values_Tensor_options_TensorOptions", (DL_FUNC) &_torch_cpp_torch_namespace_sparse_coo_tensor_indices_Tensor_values_Tensor_options_TensorOptions, 4},
+    {"_torch_cpp_torch_namespace_sparse_coo_tensor_indices_Tensor_values_Tensor_size_IntArrayRef_options_TensorOptions", (DL_FUNC) &_torch_cpp_torch_namespace_sparse_coo_tensor_indices_Tensor_values_Tensor_size_IntArrayRef_options_TensorOptions, 5},
+    {"_torch_cpp_torch_namespace__sparse_coo_tensor_unsafe_indices_Tensor_values_Tensor_size_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace__sparse_coo_tensor_unsafe_indices_Tensor_values_Tensor_size_IntArrayRef, 5},
+    {"_torch_cpp_torch_namespace__validate_sparse_coo_tensor_args_indices_Tensor_values_Tensor_size_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace__validate_sparse_coo_tensor_args_indices_Tensor_values_Tensor_size_IntArrayRef, 4},
     {"_torch_cpp_torch_namespace__validate_sparse_compressed_tensor_args_compressed_indices_Tensor_plain_indices_Tensor_values_Tensor_size_IntArrayRef_layout_Layout", (DL_FUNC) &_torch_cpp_torch_namespace__validate_sparse_compressed_tensor_args_compressed_indices_Tensor_plain_indices_Tensor_values_Tensor_size_IntArrayRef_layout_Layout, 5},
     {"_torch_cpp_torch_namespace__validate_sparse_csr_tensor_args_crow_indices_Tensor_col_indices_Tensor_values_Tensor_size_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace__validate_sparse_csr_tensor_args_crow_indices_Tensor_col_indices_Tensor_values_Tensor_size_IntArrayRef, 4},
     {"_torch_cpp_torch_namespace__validate_sparse_csc_tensor_args_ccol_indices_Tensor_row_indices_Tensor_values_Tensor_size_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace__validate_sparse_csc_tensor_args_ccol_indices_Tensor_row_indices_Tensor_values_Tensor_size_IntArrayRef, 4},
     {"_torch_cpp_torch_namespace__validate_sparse_bsr_tensor_args_crow_indices_Tensor_col_indices_Tensor_values_Tensor_size_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace__validate_sparse_bsr_tensor_args_crow_indices_Tensor_col_indices_Tensor_values_Tensor_size_IntArrayRef, 4},
     {"_torch_cpp_torch_namespace__validate_sparse_bsc_tensor_args_ccol_indices_Tensor_row_indices_Tensor_values_Tensor_size_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace__validate_sparse_bsc_tensor_args_ccol_indices_Tensor_row_indices_Tensor_values_Tensor_size_IntArrayRef, 4},
     {"_torch_cpp_torch_namespace__sparse_coo_tensor_with_dims_sparse_dim_int64_t_dense_dim_int64_t_size_IntArrayRef_options_TensorOptions", (DL_FUNC) &_torch_cpp_torch_namespace__sparse_coo_tensor_with_dims_sparse_dim_int64_t_dense_dim_int64_t_size_IntArrayRef_options_TensorOptions, 4},
-    {"_torch_cpp_torch_namespace__sparse_coo_tensor_with_dims_and_tensors_sparse_dim_int64_t_dense_dim_int64_t_size_IntArrayRef_indices_Tensor_values_Tensor_options_TensorOptions", (DL_FUNC) &_torch_cpp_torch_namespace__sparse_coo_tensor_with_dims_and_tensors_sparse_dim_int64_t_dense_dim_int64_t_size_IntArrayRef_indices_Tensor_values_Tensor_options_TensorOptions, 6},
+    {"_torch_cpp_torch_namespace__sparse_coo_tensor_with_dims_and_tensors_sparse_dim_int64_t_dense_dim_int64_t_size_IntArrayRef_indices_Tensor_values_Tensor_options_TensorOptions", (DL_FUNC) &_torch_cpp_torch_namespace__sparse_coo_tensor_with_dims_and_tensors_sparse_dim_int64_t_dense_dim_int64_t_size_IntArrayRef_indices_Tensor_values_Tensor_options_TensorOptions, 7},
     {"_torch_cpp_torch_namespace__to_cpu_tensors_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__to_cpu_tensors_TensorList, 1},
-    {"_torch_cpp_torch_namespace_to_dense_backward_grad_Tensor_input_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_to_dense_backward_grad_Tensor_input_Tensor, 2},
+    {"_torch_cpp_torch_namespace_to_dense_backward_grad_Tensor_input_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_to_dense_backward_grad_Tensor_input_Tensor, 3},
     {"_torch_cpp_torch_namespace__coalesce_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__coalesce_self_Tensor, 1},
     {"_torch_cpp_torch_namespace_hspmm_out_out_Tensor_mat1_Tensor_mat2_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_hspmm_out_out_Tensor_mat1_Tensor_mat2_Tensor, 3},
     {"_torch_cpp_torch_namespace_hspmm_mat1_Tensor_mat2_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_hspmm_mat1_Tensor_mat2_Tensor, 2},
     {"_torch_cpp_torch_namespace_copy_sparse_to_sparse__self_Tensor_src_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_copy_sparse_to_sparse__self_Tensor_src_Tensor, 3},
     {"_torch_cpp_torch_namespace_unbind_self_Tensor_dim_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace_unbind_self_Tensor_dim_int64_t, 2},
     {"_torch_cpp_torch_namespace_unbind_self_Tensor_dim_Dimname", (DL_FUNC) &_torch_cpp_torch_namespace_unbind_self_Tensor_dim_Dimname, 2},
+    {"_torch_cpp_torch_namespace__to_sparse_semi_structured_dense_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__to_sparse_semi_structured_dense_Tensor, 1},
     {"_torch_cpp_torch_namespace_mkldnn_reorder_conv2d_weight_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_mkldnn_reorder_conv2d_weight_self_Tensor, 6},
-    {"_torch_cpp_torch_namespace_mkldnn_reorder_conv3d_weight_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_mkldnn_reorder_conv3d_weight_self_Tensor, 5},
+    {"_torch_cpp_torch_namespace_mkldnn_reorder_conv3d_weight_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_mkldnn_reorder_conv3d_weight_self_Tensor, 6},
     {"_torch_cpp_torch_namespace_to_mkldnn_backward_grad_Tensor_input_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_to_mkldnn_backward_grad_Tensor_input_Tensor, 2},
     {"_torch_cpp_torch_namespace_quantize_per_tensor_dynamic_self_Tensor_dtype_ScalarType_reduce_range_bool", (DL_FUNC) &_torch_cpp_torch_namespace_quantize_per_tensor_dynamic_self_Tensor_dtype_ScalarType_reduce_range_bool, 3},
     {"_torch_cpp_torch_namespace_quantize_per_tensor_self_Tensor_scale_double_zero_point_int64_t_dtype_ScalarType", (DL_FUNC) &_torch_cpp_torch_namespace_quantize_per_tensor_self_Tensor_scale_double_zero_point_int64_t_dtype_ScalarType, 4},
@@ -47568,7 +49692,7 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_namespace_result_type_other_Scalar_tensor_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_result_type_other_Scalar_tensor_Tensor, 2},
     {"_torch_cpp_torch_namespace_result_type_scalar_Scalar_tensor_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_result_type_scalar_Scalar_tensor_Tensor, 2},
     {"_torch_cpp_torch_namespace_result_type_scalar1_Scalar_scalar2_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace_result_type_scalar1_Scalar_scalar2_Scalar, 2},
-    {"_torch_cpp_torch_namespace_can_cast_from_ScalarType_to_ScalarType", (DL_FUNC) &_torch_cpp_torch_namespace_can_cast_from_ScalarType_to_ScalarType, 2},
+    {"_torch_cpp_torch_namespace_can_cast_from__ScalarType_to_ScalarType", (DL_FUNC) &_torch_cpp_torch_namespace_can_cast_from__ScalarType_to_ScalarType, 2},
     {"_torch_cpp_torch_namespace_promote_types_type1_ScalarType_type2_ScalarType", (DL_FUNC) &_torch_cpp_torch_namespace_promote_types_type1_ScalarType_type2_ScalarType, 2},
     {"_torch_cpp_torch_namespace__local_scalar_dense_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__local_scalar_dense_self_Tensor, 1},
     {"_torch_cpp_torch_namespace__lstm_mps_input_Tensor_hx_TensorList_params_TensorList_has_biases_bool_num_layers_int64_t_dropout_double_train_bool_bidirectional_bool_batch_first_bool", (DL_FUNC) &_torch_cpp_torch_namespace__lstm_mps_input_Tensor_hx_TensorList_params_TensorList_has_biases_bool_num_layers_int64_t_dropout_double_train_bool_bidirectional_bool_batch_first_bool, 9},
@@ -47605,6 +49729,7 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_namespace_masked_fill_self_Tensor_mask_Tensor_value_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace_masked_fill_self_Tensor_mask_Tensor_value_Scalar, 3},
     {"_torch_cpp_torch_namespace_masked_fill_self_Tensor_mask_Tensor_value_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_masked_fill_self_Tensor_mask_Tensor_value_Tensor, 3},
     {"_torch_cpp_torch_namespace_masked_scatter_self_Tensor_mask_Tensor_source_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_masked_scatter_self_Tensor_mask_Tensor_source_Tensor, 3},
+    {"_torch_cpp_torch_namespace_masked_scatter_backward_grad_output_Tensor_mask_Tensor_sizes_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace_masked_scatter_backward_grad_output_Tensor_mask_Tensor_sizes_IntArrayRef, 3},
     {"_torch_cpp_torch_namespace__masked_softmax_self_Tensor_mask_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__masked_softmax_self_Tensor_mask_Tensor, 4},
     {"_torch_cpp_torch_namespace__masked_softmax_backward_grad_output_Tensor_output_Tensor_mask_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__masked_softmax_backward_grad_output_Tensor_output_Tensor_mask_Tensor, 4},
     {"_torch_cpp_torch_namespace_put_self_Tensor_index_Tensor_source_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_put_self_Tensor_index_Tensor_source_Tensor, 4},
@@ -47739,6 +49864,8 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_namespace_masked_select_backward_grad_Tensor_input_Tensor_mask_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_masked_select_backward_grad_Tensor_input_Tensor_mask_Tensor, 3},
     {"_torch_cpp_torch_namespace_nonzero_out_out_Tensor_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_nonzero_out_out_Tensor_self_Tensor, 2},
     {"_torch_cpp_torch_namespace_nonzero_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_nonzero_self_Tensor, 1},
+    {"_torch_cpp_torch_namespace_nonzero_static_out_out_Tensor_self_Tensor_size_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace_nonzero_static_out_out_Tensor_self_Tensor_size_int64_t, 4},
+    {"_torch_cpp_torch_namespace_nonzero_static_self_Tensor_size_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace_nonzero_static_self_Tensor_size_int64_t, 3},
     {"_torch_cpp_torch_namespace_nonzero_numpy_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_nonzero_numpy_self_Tensor, 1},
     {"_torch_cpp_torch_namespace_argwhere_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_argwhere_self_Tensor, 1},
     {"_torch_cpp_torch_namespace_gather_out_out_Tensor_self_Tensor_dim_int64_t_index_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_gather_out_out_Tensor_self_Tensor_dim_int64_t_index_Tensor, 5},
@@ -47837,6 +49964,7 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_namespace_remainder_self_Tensor_other_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_remainder_self_Tensor_other_Tensor, 2},
     {"_torch_cpp_torch_namespace_remainder_self_Scalar_other_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_remainder_self_Scalar_other_Tensor, 2},
     {"_torch_cpp_torch_namespace_min_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_min_self_Tensor, 1},
+    {"_torch_cpp_torch_namespace_min_out_out_Tensor_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_min_out_out_Tensor_self_Tensor, 2},
     {"_torch_cpp_torch_namespace_fmin_self_Tensor_other_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_fmin_self_Tensor_other_Tensor, 2},
     {"_torch_cpp_torch_namespace_fmin_out_out_Tensor_self_Tensor_other_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_fmin_out_out_Tensor_self_Tensor_other_Tensor, 3},
     {"_torch_cpp_torch_namespace_max_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_max_self_Tensor, 1},
@@ -47871,6 +49999,7 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_namespace_msort_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_msort_self_Tensor, 1},
     {"_torch_cpp_torch_namespace_argsort_self_Tensor_dim_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace_argsort_self_Tensor_dim_int64_t, 3},
     {"_torch_cpp_torch_namespace_argsort_self_Tensor_stable_bool_dim_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace_argsort_self_Tensor_stable_bool_dim_int64_t, 4},
+    {"_torch_cpp_torch_namespace_argsort_out_out_Tensor_self_Tensor_stable_bool", (DL_FUNC) &_torch_cpp_torch_namespace_argsort_out_out_Tensor_self_Tensor_stable_bool, 5},
     {"_torch_cpp_torch_namespace_argsort_self_Tensor_dim_Dimname", (DL_FUNC) &_torch_cpp_torch_namespace_argsort_self_Tensor_dim_Dimname, 3},
     {"_torch_cpp_torch_namespace_topk_out_values_Tensor_indices_Tensor_self_Tensor_k_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace_topk_out_values_Tensor_indices_Tensor_self_Tensor_k_int64_t, 7},
     {"_torch_cpp_torch_namespace_topk_self_Tensor_k_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace_topk_self_Tensor_k_int64_t, 5},
@@ -47904,57 +50033,70 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_namespace__amp_update_scale__self_Tensor_growth_tracker_Tensor_found_inf_Tensor_scale_growth_factor_double_scale_backoff_factor_double_growth_interval_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace__amp_update_scale__self_Tensor_growth_tracker_Tensor_found_inf_Tensor_scale_growth_factor_double_scale_backoff_factor_double_growth_interval_int64_t, 6},
     {"_torch_cpp_torch_namespace__foreach_add_self_TensorList_scalar_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_add_self_TensorList_scalar_Scalar, 2},
     {"_torch_cpp_torch_namespace__foreach_add__self_TensorList_scalar_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_add__self_TensorList_scalar_Scalar, 2},
-    {"_torch_cpp_torch_namespace__foreach_sub_self_TensorList_scalar_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_sub_self_TensorList_scalar_Scalar, 2},
-    {"_torch_cpp_torch_namespace__foreach_sub__self_TensorList_scalar_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_sub__self_TensorList_scalar_Scalar, 2},
-    {"_torch_cpp_torch_namespace__foreach_mul_self_TensorList_scalar_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_mul_self_TensorList_scalar_Scalar, 2},
-    {"_torch_cpp_torch_namespace__foreach_mul__self_TensorList_scalar_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_mul__self_TensorList_scalar_Scalar, 2},
-    {"_torch_cpp_torch_namespace__foreach_div_self_TensorList_scalar_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_div_self_TensorList_scalar_Scalar, 2},
-    {"_torch_cpp_torch_namespace__foreach_div__self_TensorList_scalar_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_div__self_TensorList_scalar_Scalar, 2},
-    {"_torch_cpp_torch_namespace__foreach_clamp_min_self_TensorList_scalar_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_clamp_min_self_TensorList_scalar_Scalar, 2},
-    {"_torch_cpp_torch_namespace__foreach_clamp_min__self_TensorList_scalar_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_clamp_min__self_TensorList_scalar_Scalar, 2},
-    {"_torch_cpp_torch_namespace__foreach_clamp_max_self_TensorList_scalar_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_clamp_max_self_TensorList_scalar_Scalar, 2},
-    {"_torch_cpp_torch_namespace__foreach_clamp_max__self_TensorList_scalar_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_clamp_max__self_TensorList_scalar_Scalar, 2},
-    {"_torch_cpp_torch_namespace__foreach_maximum_self_TensorList_scalar_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_maximum_self_TensorList_scalar_Scalar, 2},
-    {"_torch_cpp_torch_namespace__foreach_maximum__self_TensorList_scalar_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_maximum__self_TensorList_scalar_Scalar, 2},
-    {"_torch_cpp_torch_namespace__foreach_minimum_self_TensorList_scalar_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_minimum_self_TensorList_scalar_Scalar, 2},
-    {"_torch_cpp_torch_namespace__foreach_minimum__self_TensorList_scalar_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_minimum__self_TensorList_scalar_Scalar, 2},
     {"_torch_cpp_torch_namespace__foreach_add_self_TensorList_other_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_add_self_TensorList_other_TensorList, 3},
     {"_torch_cpp_torch_namespace__foreach_add__self_TensorList_other_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_add__self_TensorList_other_TensorList, 3},
+    {"_torch_cpp_torch_namespace__foreach_add_self_TensorList_scalars_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_add_self_TensorList_scalars_ArrayRefScalar, 2},
+    {"_torch_cpp_torch_namespace__foreach_add__self_TensorList_scalars_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_add__self_TensorList_scalars_ArrayRefScalar, 2},
+    {"_torch_cpp_torch_namespace__foreach_add_self_TensorList_other_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_add_self_TensorList_other_Tensor, 3},
+    {"_torch_cpp_torch_namespace__foreach_add__self_TensorList_other_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_add__self_TensorList_other_Tensor, 3},
+    {"_torch_cpp_torch_namespace__foreach_sub_self_TensorList_scalar_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_sub_self_TensorList_scalar_Scalar, 2},
+    {"_torch_cpp_torch_namespace__foreach_sub__self_TensorList_scalar_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_sub__self_TensorList_scalar_Scalar, 2},
     {"_torch_cpp_torch_namespace__foreach_sub_self_TensorList_other_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_sub_self_TensorList_other_TensorList, 3},
     {"_torch_cpp_torch_namespace__foreach_sub__self_TensorList_other_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_sub__self_TensorList_other_TensorList, 3},
+    {"_torch_cpp_torch_namespace__foreach_sub_self_TensorList_scalars_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_sub_self_TensorList_scalars_ArrayRefScalar, 2},
+    {"_torch_cpp_torch_namespace__foreach_sub__self_TensorList_scalars_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_sub__self_TensorList_scalars_ArrayRefScalar, 2},
+    {"_torch_cpp_torch_namespace__foreach_mul_self_TensorList_scalar_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_mul_self_TensorList_scalar_Scalar, 2},
+    {"_torch_cpp_torch_namespace__foreach_mul__self_TensorList_scalar_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_mul__self_TensorList_scalar_Scalar, 2},
     {"_torch_cpp_torch_namespace__foreach_mul_self_TensorList_other_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_mul_self_TensorList_other_TensorList, 2},
     {"_torch_cpp_torch_namespace__foreach_mul__self_TensorList_other_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_mul__self_TensorList_other_TensorList, 2},
+    {"_torch_cpp_torch_namespace__foreach_mul_self_TensorList_scalars_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_mul_self_TensorList_scalars_ArrayRefScalar, 2},
+    {"_torch_cpp_torch_namespace__foreach_mul__self_TensorList_scalars_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_mul__self_TensorList_scalars_ArrayRefScalar, 2},
+    {"_torch_cpp_torch_namespace__foreach_mul_self_TensorList_other_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_mul_self_TensorList_other_Tensor, 2},
+    {"_torch_cpp_torch_namespace__foreach_mul__self_TensorList_other_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_mul__self_TensorList_other_Tensor, 2},
+    {"_torch_cpp_torch_namespace__foreach_div_self_TensorList_scalar_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_div_self_TensorList_scalar_Scalar, 2},
+    {"_torch_cpp_torch_namespace__foreach_div__self_TensorList_scalar_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_div__self_TensorList_scalar_Scalar, 2},
     {"_torch_cpp_torch_namespace__foreach_div_self_TensorList_other_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_div_self_TensorList_other_TensorList, 2},
     {"_torch_cpp_torch_namespace__foreach_div__self_TensorList_other_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_div__self_TensorList_other_TensorList, 2},
-    {"_torch_cpp_torch_namespace__foreach_clamp_min_self_TensorList_other_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_clamp_min_self_TensorList_other_TensorList, 2},
-    {"_torch_cpp_torch_namespace__foreach_clamp_min__self_TensorList_other_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_clamp_min__self_TensorList_other_TensorList, 2},
-    {"_torch_cpp_torch_namespace__foreach_clamp_max_self_TensorList_other_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_clamp_max_self_TensorList_other_TensorList, 2},
-    {"_torch_cpp_torch_namespace__foreach_clamp_max__self_TensorList_other_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_clamp_max__self_TensorList_other_TensorList, 2},
-    {"_torch_cpp_torch_namespace__foreach_maximum_self_TensorList_other_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_maximum_self_TensorList_other_TensorList, 2},
-    {"_torch_cpp_torch_namespace__foreach_maximum__self_TensorList_other_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_maximum__self_TensorList_other_TensorList, 2},
-    {"_torch_cpp_torch_namespace__foreach_minimum_self_TensorList_other_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_minimum_self_TensorList_other_TensorList, 2},
-    {"_torch_cpp_torch_namespace__foreach_minimum__self_TensorList_other_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_minimum__self_TensorList_other_TensorList, 2},
-    {"_torch_cpp_torch_namespace__foreach_add_self_TensorList_scalars_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_add_self_TensorList_scalars_ArrayRefScalar, 2},
-    {"_torch_cpp_torch_namespace__foreach_add__self_TensorList_scalars_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_add__self_TensorList_scalars_ArrayRefScalar, 2},
-    {"_torch_cpp_torch_namespace__foreach_sub_self_TensorList_scalars_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_sub_self_TensorList_scalars_ArrayRefScalar, 2},
-    {"_torch_cpp_torch_namespace__foreach_sub__self_TensorList_scalars_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_sub__self_TensorList_scalars_ArrayRefScalar, 2},
     {"_torch_cpp_torch_namespace__foreach_div_self_TensorList_scalars_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_div_self_TensorList_scalars_ArrayRefScalar, 2},
     {"_torch_cpp_torch_namespace__foreach_div__self_TensorList_scalars_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_div__self_TensorList_scalars_ArrayRefScalar, 2},
-    {"_torch_cpp_torch_namespace__foreach_mul_self_TensorList_scalars_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_mul_self_TensorList_scalars_ArrayRefScalar, 2},
-    {"_torch_cpp_torch_namespace__foreach_mul__self_TensorList_scalars_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_mul__self_TensorList_scalars_ArrayRefScalar, 2},
-    {"_torch_cpp_torch_namespace__foreach_clamp_min_self_TensorList_scalars_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_clamp_min_self_TensorList_scalars_ArrayRefScalar, 2},
-    {"_torch_cpp_torch_namespace__foreach_clamp_min__self_TensorList_scalars_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_clamp_min__self_TensorList_scalars_ArrayRefScalar, 2},
+    {"_torch_cpp_torch_namespace__foreach_div_self_TensorList_other_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_div_self_TensorList_other_Tensor, 2},
+    {"_torch_cpp_torch_namespace__foreach_div__self_TensorList_other_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_div__self_TensorList_other_Tensor, 2},
+    {"_torch_cpp_torch_namespace__foreach_clamp_max_self_TensorList_scalar_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_clamp_max_self_TensorList_scalar_Scalar, 2},
+    {"_torch_cpp_torch_namespace__foreach_clamp_max__self_TensorList_scalar_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_clamp_max__self_TensorList_scalar_Scalar, 2},
+    {"_torch_cpp_torch_namespace__foreach_clamp_max_self_TensorList_other_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_clamp_max_self_TensorList_other_TensorList, 2},
+    {"_torch_cpp_torch_namespace__foreach_clamp_max__self_TensorList_other_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_clamp_max__self_TensorList_other_TensorList, 2},
     {"_torch_cpp_torch_namespace__foreach_clamp_max_self_TensorList_scalars_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_clamp_max_self_TensorList_scalars_ArrayRefScalar, 2},
     {"_torch_cpp_torch_namespace__foreach_clamp_max__self_TensorList_scalars_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_clamp_max__self_TensorList_scalars_ArrayRefScalar, 2},
+    {"_torch_cpp_torch_namespace__foreach_clamp_min_self_TensorList_scalar_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_clamp_min_self_TensorList_scalar_Scalar, 2},
+    {"_torch_cpp_torch_namespace__foreach_clamp_min__self_TensorList_scalar_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_clamp_min__self_TensorList_scalar_Scalar, 2},
+    {"_torch_cpp_torch_namespace__foreach_clamp_min_self_TensorList_other_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_clamp_min_self_TensorList_other_TensorList, 2},
+    {"_torch_cpp_torch_namespace__foreach_clamp_min__self_TensorList_other_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_clamp_min__self_TensorList_other_TensorList, 2},
+    {"_torch_cpp_torch_namespace__foreach_clamp_min_self_TensorList_scalars_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_clamp_min_self_TensorList_scalars_ArrayRefScalar, 2},
+    {"_torch_cpp_torch_namespace__foreach_clamp_min__self_TensorList_scalars_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_clamp_min__self_TensorList_scalars_ArrayRefScalar, 2},
+    {"_torch_cpp_torch_namespace__foreach_maximum_self_TensorList_scalar_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_maximum_self_TensorList_scalar_Scalar, 2},
+    {"_torch_cpp_torch_namespace__foreach_maximum__self_TensorList_scalar_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_maximum__self_TensorList_scalar_Scalar, 2},
+    {"_torch_cpp_torch_namespace__foreach_maximum_self_TensorList_other_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_maximum_self_TensorList_other_TensorList, 2},
+    {"_torch_cpp_torch_namespace__foreach_maximum__self_TensorList_other_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_maximum__self_TensorList_other_TensorList, 2},
     {"_torch_cpp_torch_namespace__foreach_maximum_self_TensorList_scalars_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_maximum_self_TensorList_scalars_ArrayRefScalar, 2},
     {"_torch_cpp_torch_namespace__foreach_maximum__self_TensorList_scalars_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_maximum__self_TensorList_scalars_ArrayRefScalar, 2},
+    {"_torch_cpp_torch_namespace__foreach_minimum_self_TensorList_scalar_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_minimum_self_TensorList_scalar_Scalar, 2},
+    {"_torch_cpp_torch_namespace__foreach_minimum__self_TensorList_scalar_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_minimum__self_TensorList_scalar_Scalar, 2},
+    {"_torch_cpp_torch_namespace__foreach_minimum_self_TensorList_other_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_minimum_self_TensorList_other_TensorList, 2},
+    {"_torch_cpp_torch_namespace__foreach_minimum__self_TensorList_other_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_minimum__self_TensorList_other_TensorList, 2},
     {"_torch_cpp_torch_namespace__foreach_minimum_self_TensorList_scalars_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_minimum_self_TensorList_scalars_ArrayRefScalar, 2},
     {"_torch_cpp_torch_namespace__foreach_minimum__self_TensorList_scalars_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_minimum__self_TensorList_scalars_ArrayRefScalar, 2},
-    {"_torch_cpp_torch_namespace__foreach_exp_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_exp_self_TensorList, 1},
-    {"_torch_cpp_torch_namespace__foreach_zero__self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_zero__self_TensorList, 1},
-    {"_torch_cpp_torch_namespace__foreach_exp__self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_exp__self_TensorList, 1},
-    {"_torch_cpp_torch_namespace__foreach_sqrt_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_sqrt_self_TensorList, 1},
-    {"_torch_cpp_torch_namespace__foreach_sqrt__self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_sqrt__self_TensorList, 1},
+    {"_torch_cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList, 4},
+    {"_torch_cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar, 4},
+    {"_torch_cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor, 4},
+    {"_torch_cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList, 4},
+    {"_torch_cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar, 4},
+    {"_torch_cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor, 4},
+    {"_torch_cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList, 4},
+    {"_torch_cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar, 4},
+    {"_torch_cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor, 4},
+    {"_torch_cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList, 4},
+    {"_torch_cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar, 4},
+    {"_torch_cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor, 4},
     {"_torch_cpp_torch_namespace__foreach_abs_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_abs_self_TensorList, 1},
     {"_torch_cpp_torch_namespace__foreach_abs__self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_abs__self_TensorList, 1},
     {"_torch_cpp_torch_namespace__foreach_acos_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_acos_self_TensorList, 1},
@@ -47973,10 +50115,20 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_namespace__foreach_erf__self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_erf__self_TensorList, 1},
     {"_torch_cpp_torch_namespace__foreach_erfc_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_erfc_self_TensorList, 1},
     {"_torch_cpp_torch_namespace__foreach_erfc__self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_erfc__self_TensorList, 1},
+    {"_torch_cpp_torch_namespace__foreach_exp_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_exp_self_TensorList, 1},
+    {"_torch_cpp_torch_namespace__foreach_exp__self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_exp__self_TensorList, 1},
     {"_torch_cpp_torch_namespace__foreach_expm1_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_expm1_self_TensorList, 1},
     {"_torch_cpp_torch_namespace__foreach_expm1__self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_expm1__self_TensorList, 1},
     {"_torch_cpp_torch_namespace__foreach_floor_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_floor_self_TensorList, 1},
     {"_torch_cpp_torch_namespace__foreach_floor__self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_floor__self_TensorList, 1},
+    {"_torch_cpp_torch_namespace__foreach_frac_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_frac_self_TensorList, 1},
+    {"_torch_cpp_torch_namespace__foreach_frac__self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_frac__self_TensorList, 1},
+    {"_torch_cpp_torch_namespace__foreach_lerp_self_TensorList_tensors1_TensorList_weights_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_lerp_self_TensorList_tensors1_TensorList_weights_TensorList, 3},
+    {"_torch_cpp_torch_namespace__foreach_lerp__self_TensorList_tensors1_TensorList_weights_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_lerp__self_TensorList_tensors1_TensorList_weights_TensorList, 3},
+    {"_torch_cpp_torch_namespace__foreach_lerp_self_TensorList_tensors1_TensorList_weight_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_lerp_self_TensorList_tensors1_TensorList_weight_Scalar, 3},
+    {"_torch_cpp_torch_namespace__foreach_lerp__self_TensorList_tensors1_TensorList_weight_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_lerp__self_TensorList_tensors1_TensorList_weight_Scalar, 3},
+    {"_torch_cpp_torch_namespace__foreach_lgamma_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_lgamma_self_TensorList, 1},
+    {"_torch_cpp_torch_namespace__foreach_lgamma__self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_lgamma__self_TensorList, 1},
     {"_torch_cpp_torch_namespace__foreach_log_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_log_self_TensorList, 1},
     {"_torch_cpp_torch_namespace__foreach_log__self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_log__self_TensorList, 1},
     {"_torch_cpp_torch_namespace__foreach_log10_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_log10_self_TensorList, 1},
@@ -47985,51 +50137,47 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_namespace__foreach_log1p__self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_log1p__self_TensorList, 1},
     {"_torch_cpp_torch_namespace__foreach_log2_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_log2_self_TensorList, 1},
     {"_torch_cpp_torch_namespace__foreach_log2__self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_log2__self_TensorList, 1},
+    {"_torch_cpp_torch_namespace__foreach_max_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_max_self_TensorList, 1},
     {"_torch_cpp_torch_namespace__foreach_neg_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_neg_self_TensorList, 1},
     {"_torch_cpp_torch_namespace__foreach_neg__self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_neg__self_TensorList, 1},
-    {"_torch_cpp_torch_namespace__foreach_tan_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_tan_self_TensorList, 1},
-    {"_torch_cpp_torch_namespace__foreach_tan__self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_tan__self_TensorList, 1},
-    {"_torch_cpp_torch_namespace__foreach_tanh_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_tanh_self_TensorList, 1},
-    {"_torch_cpp_torch_namespace__foreach_tanh__self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_tanh__self_TensorList, 1},
-    {"_torch_cpp_torch_namespace__foreach_sin_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_sin_self_TensorList, 1},
-    {"_torch_cpp_torch_namespace__foreach_sin__self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_sin__self_TensorList, 1},
-    {"_torch_cpp_torch_namespace__foreach_sinh_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_sinh_self_TensorList, 1},
-    {"_torch_cpp_torch_namespace__foreach_sinh__self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_sinh__self_TensorList, 1},
-    {"_torch_cpp_torch_namespace__foreach_round_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_round_self_TensorList, 1},
-    {"_torch_cpp_torch_namespace__foreach_round__self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_round__self_TensorList, 1},
-    {"_torch_cpp_torch_namespace__foreach_lgamma_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_lgamma_self_TensorList, 1},
-    {"_torch_cpp_torch_namespace__foreach_lgamma__self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_lgamma__self_TensorList, 1},
-    {"_torch_cpp_torch_namespace__foreach_frac_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_frac_self_TensorList, 1},
-    {"_torch_cpp_torch_namespace__foreach_frac__self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_frac__self_TensorList, 1},
+    {"_torch_cpp_torch_namespace__foreach_norm_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_norm_self_TensorList, 3},
+    {"_torch_cpp_torch_namespace__foreach_pow_self_TensorList_exponent_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_pow_self_TensorList_exponent_TensorList, 2},
+    {"_torch_cpp_torch_namespace__foreach_pow_self_TensorList_exponent_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_pow_self_TensorList_exponent_Scalar, 2},
+    {"_torch_cpp_torch_namespace__foreach_pow_self_TensorList_exponent_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_pow_self_TensorList_exponent_ArrayRefScalar, 2},
+    {"_torch_cpp_torch_namespace__foreach_pow_self_Scalar_exponent_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_pow_self_Scalar_exponent_TensorList, 2},
+    {"_torch_cpp_torch_namespace__foreach_pow__self_TensorList_exponent_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_pow__self_TensorList_exponent_TensorList, 2},
+    {"_torch_cpp_torch_namespace__foreach_pow__self_TensorList_exponent_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_pow__self_TensorList_exponent_Scalar, 2},
+    {"_torch_cpp_torch_namespace__foreach_pow__self_TensorList_exponent_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_pow__self_TensorList_exponent_ArrayRefScalar, 2},
     {"_torch_cpp_torch_namespace__foreach_reciprocal_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_reciprocal_self_TensorList, 1},
     {"_torch_cpp_torch_namespace__foreach_reciprocal__self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_reciprocal__self_TensorList, 1},
+    {"_torch_cpp_torch_namespace__foreach_round_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_round_self_TensorList, 1},
+    {"_torch_cpp_torch_namespace__foreach_round__self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_round__self_TensorList, 1},
     {"_torch_cpp_torch_namespace__foreach_sigmoid_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_sigmoid_self_TensorList, 1},
     {"_torch_cpp_torch_namespace__foreach_sigmoid__self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_sigmoid__self_TensorList, 1},
+    {"_torch_cpp_torch_namespace__foreach_sign_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_sign_self_TensorList, 1},
+    {"_torch_cpp_torch_namespace__foreach_sign__self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_sign__self_TensorList, 1},
+    {"_torch_cpp_torch_namespace__foreach_sin_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_sin_self_TensorList, 1},
+    {"_torch_cpp_torch_namespace__foreach_sin__self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_sin__self_TensorList, 1},
+    {"_torch_cpp_torch_namespace__foreach_sinh_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_sinh_self_TensorList, 1},
+    {"_torch_cpp_torch_namespace__foreach_sinh__self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_sinh__self_TensorList, 1},
+    {"_torch_cpp_torch_namespace__foreach_sqrt_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_sqrt_self_TensorList, 1},
+    {"_torch_cpp_torch_namespace__foreach_sqrt__self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_sqrt__self_TensorList, 1},
+    {"_torch_cpp_torch_namespace__foreach_tan_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_tan_self_TensorList, 1},
+    {"_torch_cpp_torch_namespace__foreach_tan__self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_tan__self_TensorList, 1},
+    {"_torch_cpp_torch_namespace__foreach_tanh_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_tanh_self_TensorList, 1},
+    {"_torch_cpp_torch_namespace__foreach_tanh__self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_tanh__self_TensorList, 1},
     {"_torch_cpp_torch_namespace__foreach_trunc_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_trunc_self_TensorList, 1},
     {"_torch_cpp_torch_namespace__foreach_trunc__self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_trunc__self_TensorList, 1},
-    {"_torch_cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList, 4},
-    {"_torch_cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList, 4},
-    {"_torch_cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar, 4},
-    {"_torch_cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor, 4},
-    {"_torch_cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar, 4},
-    {"_torch_cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor, 4},
-    {"_torch_cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList, 4},
-    {"_torch_cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList, 4},
-    {"_torch_cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar, 4},
-    {"_torch_cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor, 4},
-    {"_torch_cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar, 4},
-    {"_torch_cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor, 4},
-    {"_torch_cpp_torch_namespace__foreach_norm_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_norm_self_TensorList, 2},
-    {"_torch_cpp_torch_namespace__foreach_lerp_self_TensorList_tensors1_TensorList_weights_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_lerp_self_TensorList_tensors1_TensorList_weights_TensorList, 3},
-    {"_torch_cpp_torch_namespace__foreach_lerp__self_TensorList_tensors1_TensorList_weights_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_lerp__self_TensorList_tensors1_TensorList_weights_TensorList, 3},
-    {"_torch_cpp_torch_namespace__foreach_lerp_self_TensorList_tensors1_TensorList_weight_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_lerp_self_TensorList_tensors1_TensorList_weight_Scalar, 3},
-    {"_torch_cpp_torch_namespace__foreach_lerp__self_TensorList_tensors1_TensorList_weight_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_lerp__self_TensorList_tensors1_TensorList_weight_Scalar, 3},
+    {"_torch_cpp_torch_namespace__foreach_zero__self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_zero__self_TensorList, 1},
+    {"_torch_cpp_torch_namespace__foreach_copy__self_TensorList_src_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_copy__self_TensorList_src_TensorList, 3},
+    {"_torch_cpp_torch_namespace__foreach_copy_self_TensorList_src_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_copy_self_TensorList_src_TensorList, 3},
     {"_torch_cpp_torch_namespace_bucketize_self_Tensor_boundaries_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_bucketize_self_Tensor_boundaries_Tensor, 4},
     {"_torch_cpp_torch_namespace_bucketize_out_out_Tensor_self_Tensor_boundaries_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_bucketize_out_out_Tensor_self_Tensor_boundaries_Tensor, 5},
     {"_torch_cpp_torch_namespace_bucketize_self_Scalar_boundaries_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_bucketize_self_Scalar_boundaries_Tensor, 4},
     {"_torch_cpp_torch_namespace_searchsorted_sorted_sequence_Tensor_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_searchsorted_sorted_sequence_Tensor_self_Tensor, 6},
     {"_torch_cpp_torch_namespace_searchsorted_out_out_Tensor_sorted_sequence_Tensor_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_searchsorted_out_out_Tensor_sorted_sequence_Tensor_self_Tensor, 7},
     {"_torch_cpp_torch_namespace_searchsorted_sorted_sequence_Tensor_self_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace_searchsorted_sorted_sequence_Tensor_self_Scalar, 6},
+    {"_torch_cpp_torch_namespace_searchsorted_out_out_Tensor_sorted_sequence_Tensor_self_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace_searchsorted_out_out_Tensor_sorted_sequence_Tensor_self_Scalar, 7},
     {"_torch_cpp_torch_namespace__convert_indices_from_coo_to_csr_self_Tensor_size_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace__convert_indices_from_coo_to_csr_self_Tensor_size_int64_t, 3},
     {"_torch_cpp_torch_namespace__convert_indices_from_coo_to_csr_out_out_Tensor_self_Tensor_size_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace__convert_indices_from_coo_to_csr_out_out_Tensor_self_Tensor_size_int64_t, 4},
     {"_torch_cpp_torch_namespace__convert_indices_from_csr_to_coo_crow_indices_Tensor_col_indices_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__convert_indices_from_csr_to_coo_crow_indices_Tensor_col_indices_Tensor, 4},
@@ -48452,6 +50600,7 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_namespace_logdet_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_logdet_self_Tensor, 1},
     {"_torch_cpp_torch_namespace_linalg_eig_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_linalg_eig_self_Tensor, 1},
     {"_torch_cpp_torch_namespace_linalg_eig_out_eigenvalues_Tensor_eigenvectors_Tensor_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_linalg_eig_out_eigenvalues_Tensor_eigenvectors_Tensor_self_Tensor, 3},
+    {"_torch_cpp_torch_namespace__linalg_eigvals_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__linalg_eigvals_self_Tensor, 1},
     {"_torch_cpp_torch_namespace_linalg_eigvals_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_linalg_eigvals_self_Tensor, 1},
     {"_torch_cpp_torch_namespace_linalg_eigvals_out_out_Tensor_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_linalg_eigvals_out_out_Tensor_self_Tensor, 2},
     {"_torch_cpp_torch_namespace__linalg_eigh_A_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__linalg_eigh_A_Tensor, 3},
@@ -48507,6 +50656,7 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_namespace_linalg_solve_ex_A_Tensor_B_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_linalg_solve_ex_A_Tensor_B_Tensor, 4},
     {"_torch_cpp_torch_namespace_linalg_solve_ex_out_result_Tensor_info_Tensor_A_Tensor_B_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_linalg_solve_ex_out_result_Tensor_info_Tensor_A_Tensor_B_Tensor, 6},
     {"_torch_cpp_torch_namespace_linalg_solve_A_Tensor_B_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_linalg_solve_A_Tensor_B_Tensor, 3},
+    {"_torch_cpp_torch_namespace__spsolve_A_Tensor_B_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__spsolve_A_Tensor_B_Tensor, 3},
     {"_torch_cpp_torch_namespace_linalg_solve_out_out_Tensor_A_Tensor_B_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_linalg_solve_out_out_Tensor_A_Tensor_B_Tensor, 4},
     {"_torch_cpp_torch_namespace_linalg_tensorinv_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_linalg_tensorinv_self_Tensor, 2},
     {"_torch_cpp_torch_namespace_linalg_tensorinv_out_out_Tensor_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_linalg_tensorinv_out_out_Tensor_self_Tensor, 3},
@@ -48528,6 +50678,7 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_namespace_linalg_multi_dot_out_out_Tensor_tensors_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace_linalg_multi_dot_out_out_Tensor_tensors_TensorList, 2},
     {"_torch_cpp_torch_namespace_nested_to_padded_tensor_self_Tensor_padding_double", (DL_FUNC) &_torch_cpp_torch_namespace_nested_to_padded_tensor_self_Tensor_padding_double, 3},
     {"_torch_cpp_torch_namespace__test_serialization_subcmul_self_Tensor_other_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__test_serialization_subcmul_self_Tensor_other_Tensor, 3},
+    {"_torch_cpp_torch_namespace__test_parallel_materialize_self_Tensor_num_parallel_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace__test_parallel_materialize_self_Tensor_num_parallel_int64_t, 3},
     {"_torch_cpp_torch_namespace__test_optional_intlist_values_Tensor_addends_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace__test_optional_intlist_values_Tensor_addends_IntArrayRef, 2},
     {"_torch_cpp_torch_namespace__test_optional_filled_intlist_values_Tensor_addends_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace__test_optional_filled_intlist_values_Tensor_addends_IntArrayRef, 2},
     {"_torch_cpp_torch_namespace__test_optional_floatlist_values_Tensor_addends_ArrayRefdouble", (DL_FUNC) &_torch_cpp_torch_namespace__test_optional_floatlist_values_Tensor_addends_ArrayRefdouble, 2},
@@ -48538,7 +50689,7 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_namespace__test_autograd_multiple_dispatch_view_copy_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__test_autograd_multiple_dispatch_view_copy_self_Tensor, 1},
     {"_torch_cpp_torch_namespace_segment_reduce_data_Tensor_reduce_c10string_view", (DL_FUNC) &_torch_cpp_torch_namespace_segment_reduce_data_Tensor_reduce_c10string_view, 8},
     {"_torch_cpp_torch_namespace__segment_reduce_backward_grad_Tensor_output_Tensor_data_Tensor_reduce_c10string_view", (DL_FUNC) &_torch_cpp_torch_namespace__segment_reduce_backward_grad_Tensor_output_Tensor_data_Tensor_reduce_c10string_view, 8},
-    {"_torch_cpp_torch_namespace_pad_sequence_sequences_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace_pad_sequence_sequences_TensorList, 3},
+    {"_torch_cpp_torch_namespace_pad_sequence_sequences_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace_pad_sequence_sequences_TensorList, 4},
     {"_torch_cpp_torch_namespace_flatten_dense_tensors_tensors_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace_flatten_dense_tensors_tensors_TensorList, 1},
     {"_torch_cpp_torch_namespace_unflatten_dense_tensors_flat_Tensor_tensors_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace_unflatten_dense_tensors_flat_Tensor_tensors_TensorList, 2},
     {"_torch_cpp_torch_namespace__nested_tensor_from_tensor_list_list_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__nested_tensor_from_tensor_list_list_TensorList, 5},
@@ -48581,28 +50732,35 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_namespace_view_copy_self_Tensor_dtype_ScalarType", (DL_FUNC) &_torch_cpp_torch_namespace_view_copy_self_Tensor_dtype_ScalarType, 2},
     {"_torch_cpp_torch_namespace_unfold_copy_self_Tensor_dimension_int64_t_size_int64_t_step_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace_unfold_copy_self_Tensor_dimension_int64_t_size_int64_t_step_int64_t, 4},
     {"_torch_cpp_torch_namespace_alias_copy_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_alias_copy_self_Tensor, 1},
+    {"_torch_cpp_torch_namespace__jagged_to_padded_dense_forward_values_Tensor_offsets_TensorList_max_lengths_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace__jagged_to_padded_dense_forward_values_Tensor_offsets_TensorList_max_lengths_IntArrayRef, 4},
+    {"_torch_cpp_torch_namespace__padded_dense_to_jagged_forward_dense_Tensor_offsets_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__padded_dense_to_jagged_forward_dense_Tensor_offsets_TensorList, 3},
     {"_torch_cpp_torch_namespace__nested_tensor_softmax_with_shape_self_Tensor_query_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__nested_tensor_softmax_with_shape_self_Tensor_query_Tensor, 2},
+    {"_torch_cpp_torch_namespace__safe_softmax_self_Tensor_dim_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace__safe_softmax_self_Tensor_dim_int64_t, 3},
     {"_torch_cpp_torch_namespace__transformer_encoder_layer_fwd_src_Tensor_embed_dim_int64_t_num_heads_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor_use_gelu_bool_norm_first_bool_eps_double_norm_weight_1_Tensor_norm_bias_1_Tensor_norm_weight_2_Tensor_norm_bias_2_Tensor_ffn_weight_1_Tensor_ffn_bias_1_Tensor_ffn_weight_2_Tensor_ffn_bias_2_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__transformer_encoder_layer_fwd_src_Tensor_embed_dim_int64_t_num_heads_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor_use_gelu_bool_norm_first_bool_eps_double_norm_weight_1_Tensor_norm_bias_1_Tensor_norm_weight_2_Tensor_norm_bias_2_Tensor_ffn_weight_1_Tensor_ffn_bias_1_Tensor_ffn_weight_2_Tensor_ffn_bias_2_Tensor, 20},
     {"_torch_cpp_torch_namespace__native_multi_head_attention_query_Tensor_key_Tensor_value_Tensor_embed_dim_int64_t_num_head_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__native_multi_head_attention_query_Tensor_key_Tensor_value_Tensor_embed_dim_int64_t_num_head_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor, 13},
-    {"_torch_cpp_torch_namespace_scaled_dot_product_attention_query_Tensor_key_Tensor_value_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_scaled_dot_product_attention_query_Tensor_key_Tensor_value_Tensor, 6},
-    {"_torch_cpp_torch_namespace__scaled_dot_product_attention_query_Tensor_key_Tensor_value_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__scaled_dot_product_attention_query_Tensor_key_Tensor_value_Tensor, 7},
-    {"_torch_cpp_torch_namespace__fused_sdp_choice_query_Tensor_key_Tensor_value_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__fused_sdp_choice_query_Tensor_key_Tensor_value_Tensor, 6},
-    {"_torch_cpp_torch_namespace__scaled_dot_product_attention_math_query_Tensor_key_Tensor_value_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__scaled_dot_product_attention_math_query_Tensor_key_Tensor_value_Tensor, 7},
-    {"_torch_cpp_torch_namespace__scaled_dot_product_flash_attention_query_Tensor_key_Tensor_value_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__scaled_dot_product_flash_attention_query_Tensor_key_Tensor_value_Tensor, 6},
-    {"_torch_cpp_torch_namespace__scaled_dot_product_flash_attention_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_philox_seed_int64_t_philox_offset_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace__scaled_dot_product_flash_attention_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_philox_seed_int64_t_philox_offset_int64_t, 14},
-    {"_torch_cpp_torch_namespace__scaled_dot_product_efficient_attention_query_Tensor_key_Tensor_value_Tensor_compute_log_sumexp_bool", (DL_FUNC) &_torch_cpp_torch_namespace__scaled_dot_product_efficient_attention_query_Tensor_key_Tensor_value_Tensor_compute_log_sumexp_bool, 5},
-    {"_torch_cpp_torch_namespace__scaled_dot_product_efficient_attention_backward_grad_out__Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__scaled_dot_product_efficient_attention_backward_grad_out__Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor, 8},
-    {"_torch_cpp_torch_namespace__chunk_grad_outputs_efficient_attention_query_Tensor_key_Tensor_value_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__chunk_grad_outputs_efficient_attention_query_Tensor_key_Tensor_value_Tensor, 4},
-    {"_torch_cpp_torch_namespace__flash_attention_forward_query_Tensor_key_Tensor_value_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_return_debug_mask_bool", (DL_FUNC) &_torch_cpp_torch_namespace__flash_attention_forward_query_Tensor_key_Tensor_value_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_return_debug_mask_bool, 10},
-    {"_torch_cpp_torch_namespace__flash_attention_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_philox_seed_int64_t_philox_offset_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace__flash_attention_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_philox_seed_int64_t_philox_offset_int64_t, 14},
-    {"_torch_cpp_torch_namespace__efficient_attention_forward_query_Tensor_key_Tensor_value_Tensor_cu_seqlens_q_Tensor_cu_seqlens_k_Tensor_max_seqlen_q_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace__efficient_attention_forward_query_Tensor_key_Tensor_value_Tensor_cu_seqlens_q_Tensor_cu_seqlens_k_Tensor_max_seqlen_q_int64_t, 8},
-    {"_torch_cpp_torch_namespace__efficient_attention_backward_grad_out__Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__efficient_attention_backward_grad_out__Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor, 8},
+    {"_torch_cpp_torch_namespace_scaled_dot_product_attention_query_Tensor_key_Tensor_value_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_scaled_dot_product_attention_query_Tensor_key_Tensor_value_Tensor, 8},
+    {"_torch_cpp_torch_namespace__fused_sdp_choice_query_Tensor_key_Tensor_value_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__fused_sdp_choice_query_Tensor_key_Tensor_value_Tensor, 8},
+    {"_torch_cpp_torch_namespace__scaled_dot_product_attention_math_query_Tensor_key_Tensor_value_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__scaled_dot_product_attention_math_query_Tensor_key_Tensor_value_Tensor, 9},
+    {"_torch_cpp_torch_namespace__scaled_dot_product_attention_math_for_mps_query_Tensor_key_Tensor_value_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__scaled_dot_product_attention_math_for_mps_query_Tensor_key_Tensor_value_Tensor, 8},
+    {"_torch_cpp_torch_namespace__scaled_dot_product_flash_attention_query_Tensor_key_Tensor_value_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__scaled_dot_product_flash_attention_query_Tensor_key_Tensor_value_Tensor, 7},
+    {"_torch_cpp_torch_namespace__scaled_dot_product_flash_attention_for_cpu_query_Tensor_key_Tensor_value_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__scaled_dot_product_flash_attention_for_cpu_query_Tensor_key_Tensor_value_Tensor, 7},
+    {"_torch_cpp_torch_namespace__scaled_dot_product_fused_attention_overrideable_query_Tensor_key_Tensor_value_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__scaled_dot_product_fused_attention_overrideable_query_Tensor_key_Tensor_value_Tensor, 8},
+    {"_torch_cpp_torch_namespace__scaled_dot_product_flash_attention_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_philox_seed_Tensor_philox_offset_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__scaled_dot_product_flash_attention_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_philox_seed_Tensor_philox_offset_Tensor, 15},
+    {"_torch_cpp_torch_namespace__scaled_dot_product_flash_attention_for_cpu_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_dropout_p_double_is_causal_bool", (DL_FUNC) &_torch_cpp_torch_namespace__scaled_dot_product_flash_attention_for_cpu_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_dropout_p_double_is_causal_bool, 10},
+    {"_torch_cpp_torch_namespace__scaled_dot_product_fused_attention_overrideable_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_attn_bias_Tensor_grad_input_mask_stdarraybool4_out_Tensor_logsumexp_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_philox_seed_Tensor_philox_offset_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__scaled_dot_product_fused_attention_overrideable_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_attn_bias_Tensor_grad_input_mask_stdarraybool4_out_Tensor_logsumexp_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_philox_seed_Tensor_philox_offset_Tensor, 17},
+    {"_torch_cpp_torch_namespace__scaled_dot_product_efficient_attention_query_Tensor_key_Tensor_value_Tensor_attn_bias_Tensor_compute_log_sumexp_bool", (DL_FUNC) &_torch_cpp_torch_namespace__scaled_dot_product_efficient_attention_query_Tensor_key_Tensor_value_Tensor_attn_bias_Tensor_compute_log_sumexp_bool, 8},
+    {"_torch_cpp_torch_namespace__scaled_dot_product_efficient_attention_backward_grad_out__Tensor_query_Tensor_key_Tensor_value_Tensor_attn_bias_Tensor_out_Tensor_logsumexp_Tensor_philox_seed_Tensor_philox_offset_Tensor_dropout_p_double_grad_input_mask_stdarraybool4", (DL_FUNC) &_torch_cpp_torch_namespace__scaled_dot_product_efficient_attention_backward_grad_out__Tensor_query_Tensor_key_Tensor_value_Tensor_attn_bias_Tensor_out_Tensor_logsumexp_Tensor_philox_seed_Tensor_philox_offset_Tensor_dropout_p_double_grad_input_mask_stdarraybool4, 13},
+    {"_torch_cpp_torch_namespace__scaled_dot_product_cudnn_attention_query_Tensor_key_Tensor_value_Tensor_attn_bias_Tensor_compute_log_sumexp_bool", (DL_FUNC) &_torch_cpp_torch_namespace__scaled_dot_product_cudnn_attention_query_Tensor_key_Tensor_value_Tensor_attn_bias_Tensor_compute_log_sumexp_bool, 9},
+    {"_torch_cpp_torch_namespace__scaled_dot_product_cudnn_attention_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_philox_seed_Tensor_philox_offset_Tensor_attn_bias_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool", (DL_FUNC) &_torch_cpp_torch_namespace__scaled_dot_product_cudnn_attention_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_philox_seed_Tensor_philox_offset_Tensor_attn_bias_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool, 16},
+    {"_torch_cpp_torch_namespace__flash_attention_forward_query_Tensor_key_Tensor_value_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_return_debug_mask_bool", (DL_FUNC) &_torch_cpp_torch_namespace__flash_attention_forward_query_Tensor_key_Tensor_value_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_return_debug_mask_bool, 15},
+    {"_torch_cpp_torch_namespace__flash_attention_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_philox_seed_Tensor_philox_offset_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__flash_attention_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_philox_seed_Tensor_philox_offset_Tensor, 17},
+    {"_torch_cpp_torch_namespace__efficient_attention_forward_query_Tensor_key_Tensor_value_Tensor_bias_Tensor_cu_seqlens_q_Tensor_cu_seqlens_k_Tensor_max_seqlen_q_int64_t_max_seqlen_k_int64_t_dropout_p_double_custom_mask_type_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace__efficient_attention_forward_query_Tensor_key_Tensor_value_Tensor_bias_Tensor_cu_seqlens_q_Tensor_cu_seqlens_k_Tensor_max_seqlen_q_int64_t_max_seqlen_k_int64_t_dropout_p_double_custom_mask_type_int64_t, 14},
+    {"_torch_cpp_torch_namespace__efficient_attention_backward_grad_out__Tensor_query_Tensor_key_Tensor_value_Tensor_bias_Tensor_out_Tensor_cu_seqlens_q_Tensor_cu_seqlens_k_Tensor_max_seqlen_q_int64_t_max_seqlen_k_int64_t_logsumexp_Tensor_dropout_p_double_philox_seed_Tensor_philox_offset_Tensor_custom_mask_type_int64_t_bias_requires_grad_bool", (DL_FUNC) &_torch_cpp_torch_namespace__efficient_attention_backward_grad_out__Tensor_query_Tensor_key_Tensor_value_Tensor_bias_Tensor_out_Tensor_cu_seqlens_q_Tensor_cu_seqlens_k_Tensor_max_seqlen_q_int64_t_max_seqlen_k_int64_t_logsumexp_Tensor_dropout_p_double_philox_seed_Tensor_philox_offset_Tensor_custom_mask_type_int64_t_bias_requires_grad_bool, 20},
     {"_torch_cpp_torch_namespace__triton_scaled_dot_attention_q_Tensor_k_Tensor_v_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__triton_scaled_dot_attention_q_Tensor_k_Tensor_v_Tensor, 4},
+    {"_torch_cpp_torch_namespace__fill_mem_eff_dropout_mask__self_Tensor_dropout_p_double_seed_int64_t_offset_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace__fill_mem_eff_dropout_mask__self_Tensor_dropout_p_double_seed_int64_t_offset_int64_t, 4},
     {"_torch_cpp_torch_namespace__triton_multi_head_attention_query_Tensor_key_Tensor_value_Tensor_embed_dim_int64_t_num_head_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__triton_multi_head_attention_query_Tensor_key_Tensor_value_Tensor_embed_dim_int64_t_num_head_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor, 10},
     {"_torch_cpp_torch_namespace_special_airy_ai_x_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_special_airy_ai_x_Tensor, 1},
     {"_torch_cpp_torch_namespace_special_airy_ai_out_out_Tensor_x_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_special_airy_ai_out_out_Tensor_x_Tensor, 2},
-    {"_torch_cpp_torch_namespace__transformer_decoder_only_layer_fwd_src_Tensor_embed_dim_int64_t_num_heads_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor_use_gelu_bool_norm_first_bool_eps_double_norm_weight_1_Tensor_norm_bias_1_Tensor_norm_weight_2_Tensor_norm_bias_2_Tensor_ffn_weight_1_Tensor_ffn_bias_1_Tensor_ffn_weight_2_Tensor_ffn_bias_2_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__transformer_decoder_only_layer_fwd_src_Tensor_embed_dim_int64_t_num_heads_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor_use_gelu_bool_norm_first_bool_eps_double_norm_weight_1_Tensor_norm_bias_1_Tensor_norm_weight_2_Tensor_norm_bias_2_Tensor_ffn_weight_1_Tensor_ffn_bias_1_Tensor_ffn_weight_2_Tensor_ffn_bias_2_Tensor, 21},
-    {"_torch_cpp_torch_namespace__native_decoder_only_multi_head_attention_query_Tensor_key_Tensor_value_Tensor_embed_dim_int64_t_num_head_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__native_decoder_only_multi_head_attention_query_Tensor_key_Tensor_value_Tensor_embed_dim_int64_t_num_head_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor, 14},
     {"_torch_cpp_torch_namespace_special_bessel_j0_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_special_bessel_j0_self_Tensor, 1},
     {"_torch_cpp_torch_namespace_special_bessel_j0_out_out_Tensor_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_special_bessel_j0_out_out_Tensor_self_Tensor, 2},
     {"_torch_cpp_torch_namespace_special_bessel_j1_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_special_bessel_j1_self_Tensor, 1},
@@ -48699,7 +50857,13 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_namespace_special_spherical_bessel_j0_out_out_Tensor_x_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_special_spherical_bessel_j0_out_out_Tensor_x_Tensor, 2},
     {"_torch_cpp_torch_namespace__foobar_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__foobar_self_Tensor, 4},
     {"_torch_cpp_torch_namespace__fused_adam__self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_double_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool", (DL_FUNC) &_torch_cpp_torch_namespace__fused_adam__self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_double_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool, 15},
+    {"_torch_cpp_torch_namespace__fused_adam__self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool", (DL_FUNC) &_torch_cpp_torch_namespace__fused_adam__self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool, 15},
     {"_torch_cpp_torch_namespace__fused_adamw__self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_double_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool", (DL_FUNC) &_torch_cpp_torch_namespace__fused_adamw__self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_double_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool, 15},
+    {"_torch_cpp_torch_namespace__fused_adamw__self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool", (DL_FUNC) &_torch_cpp_torch_namespace__fused_adamw__self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool, 15},
+    {"_torch_cpp_torch_namespace__fused_sgd__self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_double_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool", (DL_FUNC) &_torch_cpp_torch_namespace__fused_sgd__self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_double_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool, 12},
+    {"_torch_cpp_torch_namespace__fused_sgd__self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_Tensor_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool", (DL_FUNC) &_torch_cpp_torch_namespace__fused_sgd__self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_Tensor_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool, 12},
+    {"_torch_cpp_torch_namespace__fused_adagrad__self_TensorList_grads_TensorList_state_sums_TensorList_state_steps_TensorList_lr_double_lr_decay_double_weight_decay_double_eps_double_maximize_bool", (DL_FUNC) &_torch_cpp_torch_namespace__fused_adagrad__self_TensorList_grads_TensorList_state_sums_TensorList_state_steps_TensorList_lr_double_lr_decay_double_weight_decay_double_eps_double_maximize_bool, 11},
+    {"_torch_cpp_torch_namespace__propagate_xla_data_input_Tensor_output_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__propagate_xla_data_input_Tensor_output_Tensor, 2},
     {"_torch_cpp_torch_namespace__new_zeros_with_same_feature_meta_out_out_Tensor_self_Tensor_other_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__new_zeros_with_same_feature_meta_out_out_Tensor_self_Tensor_other_Tensor, 4},
     {"_torch_cpp_torch_namespace__cudnn_ctc_loss_out_out0_Tensor_out1_Tensor_log_probs_Tensor_targets_Tensor_input_lengths_IntArrayRef_target_lengths_IntArrayRef_blank_int64_t_deterministic_bool_zero_infinity_bool", (DL_FUNC) &_torch_cpp_torch_namespace__cudnn_ctc_loss_out_out0_Tensor_out1_Tensor_log_probs_Tensor_targets_Tensor_input_lengths_IntArrayRef_target_lengths_IntArrayRef_blank_int64_t_deterministic_bool_zero_infinity_bool, 9},
     {"_torch_cpp_torch_namespace__cudnn_rnn_flatten_weight_out_out_Tensor_weight_arr_TensorList_weight_stride0_int64_t_input_size_int64_t_mode_int64_t_hidden_size_int64_t_proj_size_int64_t_num_layers_int64_t_batch_first_bool_bidirectional_bool", (DL_FUNC) &_torch_cpp_torch_namespace__cudnn_rnn_flatten_weight_out_out_Tensor_weight_arr_TensorList_weight_stride0_int64_t_input_size_int64_t_mode_int64_t_hidden_size_int64_t_proj_size_int64_t_num_layers_int64_t_batch_first_bool_bidirectional_bool, 10},
@@ -48714,6 +50878,7 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_namespace__add_relu_out_out_Tensor_self_Tensor_other_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__add_relu_out_out_Tensor_self_Tensor_other_Scalar, 4},
     {"_torch_cpp_torch_namespace_add_out_out_Tensor_self_Tensor_other_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace_add_out_out_Tensor_self_Tensor_other_Scalar, 4},
     {"_torch_cpp_torch_namespace_affine_grid_generator_out_out_Tensor_theta_Tensor_size_IntArrayRef_align_corners_bool", (DL_FUNC) &_torch_cpp_torch_namespace_affine_grid_generator_out_out_Tensor_theta_Tensor_size_IntArrayRef_align_corners_bool, 4},
+    {"_torch_cpp_torch_namespace__test_functorch_fallback_out_out_Tensor_self_Tensor_other_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__test_functorch_fallback_out_out_Tensor_self_Tensor_other_Tensor, 3},
     {"_torch_cpp_torch_namespace_bartlett_window_out_out_Tensor_window_length_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace_bartlett_window_out_out_Tensor_window_length_int64_t, 2},
     {"_torch_cpp_torch_namespace_bartlett_window_out_out_Tensor_window_length_int64_t_periodic_bool", (DL_FUNC) &_torch_cpp_torch_namespace_bartlett_window_out_out_Tensor_window_length_int64_t_periodic_bool, 3},
     {"_torch_cpp_torch_namespace_quantized_batch_norm_out_out_Tensor_input_Tensor_weight_Tensor_bias_Tensor_mean_Tensor_var_Tensor_eps_double_output_scale_double_output_zero_point_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace_quantized_batch_norm_out_out_Tensor_input_Tensor_weight_Tensor_bias_Tensor_mean_Tensor_var_Tensor_eps_double_output_scale_double_output_zero_point_int64_t, 9},
@@ -48741,7 +50906,6 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_namespace_cudnn_affine_grid_generator_backward_out_out_Tensor_grad_Tensor_FALSE_int64_t_C_int64_t_H_int64_t_W_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace_cudnn_affine_grid_generator_backward_out_out_Tensor_grad_Tensor_FALSE_int64_t_C_int64_t_H_int64_t_W_int64_t, 6},
     {"_torch_cpp_torch_namespace_cudnn_batch_norm_out_out0_Tensor_out1_Tensor_out2_Tensor_out3_Tensor_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_training_bool_exponential_average_factor_double_epsilon_double", (DL_FUNC) &_torch_cpp_torch_namespace_cudnn_batch_norm_out_out0_Tensor_out1_Tensor_out2_Tensor_out3_Tensor_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_training_bool_exponential_average_factor_double_epsilon_double, 12},
     {"_torch_cpp_torch_namespace_cudnn_batch_norm_backward_out_out0_Tensor_out1_Tensor_out2_Tensor_input_Tensor_grad_output_Tensor_weight_Tensor_running_mean_Tensor_running_var_Tensor_save_mean_Tensor_save_var_Tensor_epsilon_double_reserveSpace_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_cudnn_batch_norm_backward_out_out0_Tensor_out1_Tensor_out2_Tensor_input_Tensor_grad_output_Tensor_weight_Tensor_running_mean_Tensor_running_var_Tensor_save_mean_Tensor_save_var_Tensor_epsilon_double_reserveSpace_Tensor, 12},
-    {"_torch_cpp_torch_namespace_cudnn_convolution_out_out_Tensor_self_Tensor_weight_Tensor_padding_IntArrayRef_stride_IntArrayRef_dilation_IntArrayRef_groups_int64_t_benchmark_bool_deterministic_bool_allow_tf32_bool", (DL_FUNC) &_torch_cpp_torch_namespace_cudnn_convolution_out_out_Tensor_self_Tensor_weight_Tensor_padding_IntArrayRef_stride_IntArrayRef_dilation_IntArrayRef_groups_int64_t_benchmark_bool_deterministic_bool_allow_tf32_bool, 10},
     {"_torch_cpp_torch_namespace_cudnn_convolution_transpose_out_out_Tensor_self_Tensor_weight_Tensor_padding_IntArrayRef_output_padding_IntArrayRef_stride_IntArrayRef_dilation_IntArrayRef_groups_int64_t_benchmark_bool_deterministic_bool_allow_tf32_bool", (DL_FUNC) &_torch_cpp_torch_namespace_cudnn_convolution_transpose_out_out_Tensor_self_Tensor_weight_Tensor_padding_IntArrayRef_output_padding_IntArrayRef_stride_IntArrayRef_dilation_IntArrayRef_groups_int64_t_benchmark_bool_deterministic_bool_allow_tf32_bool, 11},
     {"_torch_cpp_torch_namespace__mps_convolution_transpose_out_out_Tensor_self_Tensor_weight_Tensor_padding_IntArrayRef_output_padding_IntArrayRef_stride_IntArrayRef_dilation_IntArrayRef_groups_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace__mps_convolution_transpose_out_out_Tensor_self_Tensor_weight_Tensor_padding_IntArrayRef_output_padding_IntArrayRef_stride_IntArrayRef_dilation_IntArrayRef_groups_int64_t, 8},
     {"_torch_cpp_torch_namespace_mps_convolution_transpose_backward_out_out0_Tensor_out1_Tensor_self_Tensor_grad_output_Tensor_weight_Tensor_padding_IntArrayRef_output_padding_IntArrayRef_stride_IntArrayRef_dilation_IntArrayRef_groups_int64_t_output_mask_stdarraybool2", (DL_FUNC) &_torch_cpp_torch_namespace_mps_convolution_transpose_backward_out_out0_Tensor_out1_Tensor_self_Tensor_grad_output_Tensor_weight_Tensor_padding_IntArrayRef_output_padding_IntArrayRef_stride_IntArrayRef_dilation_IntArrayRef_groups_int64_t_output_mask_stdarraybool2, 11},
@@ -48765,6 +50929,7 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_namespace__embedding_bag_dense_backward_out_out_Tensor_grad_Tensor_indices_Tensor_offset2bag_Tensor_bag_size_Tensor_maximum_indices_Tensor_num_weights_int64_t_scale_grad_by_freq_bool_mode_int64_t_per_sample_weights_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__embedding_bag_dense_backward_out_out_Tensor_grad_Tensor_indices_Tensor_offset2bag_Tensor_bag_size_Tensor_maximum_indices_Tensor_num_weights_int64_t_scale_grad_by_freq_bool_mode_int64_t_per_sample_weights_Tensor, 11},
     {"_torch_cpp_torch_namespace__embedding_bag_per_sample_weights_backward_out_out_Tensor_grad_Tensor_weight_Tensor_indices_Tensor_offsets_Tensor_offset2bag_Tensor_mode_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace__embedding_bag_per_sample_weights_backward_out_out_Tensor_grad_Tensor_weight_Tensor_indices_Tensor_offsets_Tensor_offset2bag_Tensor_mode_int64_t, 8},
     {"_torch_cpp_torch_namespace_empty_out_out_Tensor_size_IntArrayRef_names_DimnameList", (DL_FUNC) &_torch_cpp_torch_namespace_empty_out_out_Tensor_size_IntArrayRef_names_DimnameList, 4},
+    {"_torch_cpp_torch_namespace_empty_permuted_out_out_Tensor_size_IntArrayRef_physical_layout_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace_empty_permuted_out_out_Tensor_size_IntArrayRef_physical_layout_IntArrayRef, 3},
     {"_torch_cpp_torch_namespace_new_empty_out_out_Tensor_self_Tensor_size_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace_new_empty_out_out_Tensor_self_Tensor_size_IntArrayRef, 3},
     {"_torch_cpp_torch_namespace_new_empty_strided_out_out_Tensor_self_Tensor_size_IntArrayRef_stride_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace_new_empty_strided_out_out_Tensor_self_Tensor_size_IntArrayRef_stride_IntArrayRef, 4},
     {"_torch_cpp_torch_namespace_new_full_out_out_Tensor_self_Tensor_size_IntArrayRef_fill_value_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace_new_full_out_out_Tensor_self_Tensor_size_IntArrayRef_fill_value_Scalar, 4},
@@ -48781,6 +50946,7 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_namespace_empty_strided_out_out_Tensor_size_IntArrayRef_stride_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace_empty_strided_out_out_Tensor_size_IntArrayRef_stride_IntArrayRef, 3},
     {"_torch_cpp_torch_namespace_fill_out_out_Tensor_self_Tensor_value_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace_fill_out_out_Tensor_self_Tensor_value_Scalar, 3},
     {"_torch_cpp_torch_namespace_fill_out_out_Tensor_self_Tensor_value_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_fill_out_out_Tensor_self_Tensor_value_Tensor, 3},
+    {"_torch_cpp_torch_namespace_floor_divide_out_out_Tensor_self_Tensor_other_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace_floor_divide_out_out_Tensor_self_Tensor_other_Scalar, 3},
     {"_torch_cpp_torch_namespace_full_out_out_Tensor_size_IntArrayRef_fill_value_Scalar_names_DimnameList", (DL_FUNC) &_torch_cpp_torch_namespace_full_out_out_Tensor_size_IntArrayRef_fill_value_Scalar_names_DimnameList, 4},
     {"_torch_cpp_torch_namespace_full_like_out_out_Tensor_self_Tensor_fill_value_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace_full_like_out_out_Tensor_self_Tensor_fill_value_Scalar, 4},
     {"_torch_cpp_torch_namespace_from_file_out_out_Tensor_filename_c10string_view", (DL_FUNC) &_torch_cpp_torch_namespace_from_file_out_out_Tensor_filename_c10string_view, 4},
@@ -48800,9 +50966,9 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_namespace_kaiser_window_out_out_Tensor_window_length_int64_t_periodic_bool_beta_double", (DL_FUNC) &_torch_cpp_torch_namespace_kaiser_window_out_out_Tensor_window_length_int64_t_periodic_bool_beta_double, 4},
     {"_torch_cpp_torch_namespace_native_group_norm_out_out0_Tensor_out1_Tensor_out2_Tensor_input_Tensor_weight_Tensor_bias_Tensor_FALSE_int64_t_C_int64_t_HxW_int64_t_group_int64_t_eps_double", (DL_FUNC) &_torch_cpp_torch_namespace_native_group_norm_out_out0_Tensor_out1_Tensor_out2_Tensor_input_Tensor_weight_Tensor_bias_Tensor_FALSE_int64_t_C_int64_t_HxW_int64_t_group_int64_t_eps_double, 11},
     {"_torch_cpp_torch_namespace_native_group_norm_backward_out_out0_Tensor_out1_Tensor_out2_Tensor_grad_out_Tensor_input_Tensor_mean_Tensor_rstd_Tensor_weight_Tensor_FALSE_int64_t_C_int64_t_HxW_int64_t_group_int64_t_output_mask_stdarraybool3", (DL_FUNC) &_torch_cpp_torch_namespace_native_group_norm_backward_out_out0_Tensor_out1_Tensor_out2_Tensor_grad_out_Tensor_input_Tensor_mean_Tensor_rstd_Tensor_weight_Tensor_FALSE_int64_t_C_int64_t_HxW_int64_t_group_int64_t_output_mask_stdarraybool3, 13},
-    {"_torch_cpp_torch_namespace_index_put_out_out_Tensor_self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_index_put_out_out_Tensor_self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor, 5},
-    {"_torch_cpp_torch_namespace__index_put_impl_out_out_Tensor_self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__index_put_impl_out_out_Tensor_self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor, 6},
-    {"_torch_cpp_torch_namespace__index_put_impl_self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__index_put_impl_self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor, 5},
+    {"_torch_cpp_torch_namespace_index_put_out_out_Tensor_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_index_put_out_out_Tensor_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor, 5},
+    {"_torch_cpp_torch_namespace__index_put_impl_out_out_Tensor_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__index_put_impl_out_out_Tensor_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor, 6},
+    {"_torch_cpp_torch_namespace__index_put_impl_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__index_put_impl_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor, 5},
     {"_torch_cpp_torch_namespace_isnan_out_out_Tensor_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_isnan_out_out_Tensor_self_Tensor, 2},
     {"_torch_cpp_torch_namespace_native_layer_norm_out_out0_Tensor_out1_Tensor_out2_Tensor_input_Tensor_normalized_shape_IntArrayRef_weight_Tensor_bias_Tensor_eps_double", (DL_FUNC) &_torch_cpp_torch_namespace_native_layer_norm_out_out0_Tensor_out1_Tensor_out2_Tensor_input_Tensor_normalized_shape_IntArrayRef_weight_Tensor_bias_Tensor_eps_double, 8},
     {"_torch_cpp_torch_namespace_native_layer_norm_backward_out_out0_Tensor_out1_Tensor_out2_Tensor_grad_out_Tensor_input_Tensor_normalized_shape_IntArrayRef_mean_Tensor_rstd_Tensor_weight_Tensor_bias_Tensor_output_mask_stdarraybool3", (DL_FUNC) &_torch_cpp_torch_namespace_native_layer_norm_backward_out_out0_Tensor_out1_Tensor_out2_Tensor_grad_out_Tensor_input_Tensor_normalized_shape_IntArrayRef_mean_Tensor_rstd_Tensor_weight_Tensor_bias_Tensor_output_mask_stdarraybool3, 11},
@@ -48821,6 +50987,7 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_namespace_mkldnn_max_pool3d_backward_out_out_Tensor_grad_output_Tensor_output_Tensor_input_Tensor_kernel_size_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace_mkldnn_max_pool3d_backward_out_out_Tensor_grad_output_Tensor_output_Tensor_input_Tensor_kernel_size_IntArrayRef, 9},
     {"_torch_cpp_torch_namespace_quantized_max_pool1d_out_out_Tensor_self_Tensor_kernel_size_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace_quantized_max_pool1d_out_out_Tensor_self_Tensor_kernel_size_IntArrayRef, 7},
     {"_torch_cpp_torch_namespace_quantized_max_pool2d_out_out_Tensor_self_Tensor_kernel_size_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace_quantized_max_pool2d_out_out_Tensor_self_Tensor_kernel_size_IntArrayRef, 7},
+    {"_torch_cpp_torch_namespace_quantized_max_pool3d_out_out_Tensor_self_Tensor_kernel_size_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace_quantized_max_pool3d_out_out_Tensor_self_Tensor_kernel_size_IntArrayRef, 7},
     {"_torch_cpp_torch_namespace_median_out_out_Tensor_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_median_out_out_Tensor_self_Tensor, 2},
     {"_torch_cpp_torch_namespace_nanmedian_out_out_Tensor_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_nanmedian_out_out_Tensor_self_Tensor, 2},
     {"_torch_cpp_torch_namespace__mps_convolution_out_out_Tensor_self_Tensor_weight_Tensor_bias_Tensor_padding_IntArrayRef_stride_IntArrayRef_dilation_IntArrayRef_groups_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace__mps_convolution_out_out_Tensor_self_Tensor_weight_Tensor_bias_Tensor_padding_IntArrayRef_stride_IntArrayRef_dilation_IntArrayRef_groups_int64_t, 8},
@@ -48838,12 +51005,13 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_namespace__sparse_sparse_matmul_out_out_Tensor_self_Tensor_other_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__sparse_sparse_matmul_out_out_Tensor_self_Tensor_other_Tensor, 3},
     {"_torch_cpp_torch_namespace_mul_out_out_Tensor_self_Tensor_other_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace_mul_out_out_Tensor_self_Tensor_other_Scalar, 3},
     {"_torch_cpp_torch_namespace__native_batch_norm_legit_functional_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_training_bool_momentum_double_eps_double", (DL_FUNC) &_torch_cpp_torch_namespace__native_batch_norm_legit_functional_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_training_bool_momentum_double_eps_double, 8},
+    {"_torch_cpp_torch_namespace__native_batch_norm_legit_no_training_out_out0_Tensor_out1_Tensor_out2_Tensor_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double", (DL_FUNC) &_torch_cpp_torch_namespace__native_batch_norm_legit_no_training_out_out0_Tensor_out1_Tensor_out2_Tensor_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double, 10},
     {"_torch_cpp_torch_namespace_batch_norm_stats_out_out0_Tensor_out1_Tensor_input_Tensor_eps_double", (DL_FUNC) &_torch_cpp_torch_namespace_batch_norm_stats_out_out0_Tensor_out1_Tensor_input_Tensor_eps_double, 4},
     {"_torch_cpp_torch_namespace_batch_norm_gather_stats_out_out0_Tensor_out1_Tensor_input_Tensor_mean_Tensor_invstd_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double_count_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace_batch_norm_gather_stats_out_out0_Tensor_out1_Tensor_input_Tensor_mean_Tensor_invstd_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double_count_int64_t, 10},
     {"_torch_cpp_torch_namespace_batch_norm_gather_stats_with_counts_out_out0_Tensor_out1_Tensor_input_Tensor_mean_Tensor_invstd_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double_counts_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_batch_norm_gather_stats_with_counts_out_out0_Tensor_out1_Tensor_input_Tensor_mean_Tensor_invstd_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double_counts_Tensor, 10},
     {"_torch_cpp_torch_namespace_native_batch_norm_backward_out_out0_Tensor_out1_Tensor_out2_Tensor_grad_out_Tensor_input_Tensor_weight_Tensor_running_mean_Tensor_running_var_Tensor_save_mean_Tensor_save_invstd_Tensor_train_bool_eps_double_output_mask_stdarraybool3", (DL_FUNC) &_torch_cpp_torch_namespace_native_batch_norm_backward_out_out0_Tensor_out1_Tensor_out2_Tensor_grad_out_Tensor_input_Tensor_weight_Tensor_running_mean_Tensor_running_var_Tensor_save_mean_Tensor_save_invstd_Tensor_train_bool_eps_double_output_mask_stdarraybool3, 13},
     {"_torch_cpp_torch_namespace_batch_norm_backward_reduce_out_out0_Tensor_out1_Tensor_out2_Tensor_out3_Tensor_grad_out_Tensor_input_Tensor_mean_Tensor_invstd_Tensor_weight_Tensor_input_g_bool_weight_g_bool_bias_g_bool", (DL_FUNC) &_torch_cpp_torch_namespace_batch_norm_backward_reduce_out_out0_Tensor_out1_Tensor_out2_Tensor_out3_Tensor_grad_out_Tensor_input_Tensor_mean_Tensor_invstd_Tensor_weight_Tensor_input_g_bool_weight_g_bool_bias_g_bool, 12},
-    {"_torch_cpp_torch_namespace_batch_norm_backward_elemt_out_out_Tensor_grad_out_Tensor_input_Tensor_mean_Tensor_invstd_Tensor_weight_Tensor_mean_dy_Tensor_mean_dy_xmu_Tensor_count_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_batch_norm_backward_elemt_out_out_Tensor_grad_out_Tensor_input_Tensor_mean_Tensor_invstd_Tensor_weight_Tensor_mean_dy_Tensor_mean_dy_xmu_Tensor_count_Tensor, 9},
+    {"_torch_cpp_torch_namespace_batch_norm_backward_elemt_out_out_Tensor_grad_out_Tensor_input_Tensor_mean_Tensor_invstd_Tensor_weight_Tensor_sum_dy_Tensor_sum_dy_xmu_Tensor_count_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_batch_norm_backward_elemt_out_out_Tensor_grad_out_Tensor_input_Tensor_mean_Tensor_invstd_Tensor_weight_Tensor_sum_dy_Tensor_sum_dy_xmu_Tensor_count_Tensor, 9},
     {"_torch_cpp_torch_namespace_batch_norm_update_stats_out_out0_Tensor_out1_Tensor_input_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double", (DL_FUNC) &_torch_cpp_torch_namespace_batch_norm_update_stats_out_out0_Tensor_out1_Tensor_input_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double, 6},
     {"_torch_cpp_torch_namespace__nnpack_spatial_convolution_out_out_Tensor_input_Tensor_weight_Tensor_bias_Tensor_padding_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace__nnpack_spatial_convolution_out_out_Tensor_input_Tensor_weight_Tensor_bias_Tensor_padding_IntArrayRef, 6},
     {"_torch_cpp_torch_namespace_ones_out_out_Tensor_size_IntArrayRef_names_DimnameList", (DL_FUNC) &_torch_cpp_torch_namespace_ones_out_out_Tensor_size_IntArrayRef_names_DimnameList, 3},
@@ -48890,8 +51058,11 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_namespace__nested_from_padded_out_out_Tensor_padded_Tensor_cpu_nested_shape_example_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__nested_from_padded_out_out_Tensor_padded_Tensor_cpu_nested_shape_example_Tensor, 4},
     {"_torch_cpp_torch_namespace__nested_tensor_size_out_out_Tensor_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__nested_tensor_size_out_out_Tensor_self_Tensor, 2},
     {"_torch_cpp_torch_namespace__nested_tensor_strides_out_out_Tensor_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__nested_tensor_strides_out_out_Tensor_self_Tensor, 2},
+    {"_torch_cpp_torch_namespace__nested_tensor_storage_offsets_out_out_Tensor_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__nested_tensor_storage_offsets_out_out_Tensor_self_Tensor, 2},
     {"_torch_cpp_torch_namespace__nested_from_padded_and_nested_example_out_out_Tensor_padded_Tensor_nt_example_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__nested_from_padded_and_nested_example_out_out_Tensor_padded_Tensor_nt_example_Tensor, 3},
-    {"_torch_cpp_torch_namespace__nested_view_from_buffer_copy_out_out_Tensor_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace__nested_view_from_buffer_copy_out_out_Tensor_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_IntArrayRef, 5},
+    {"_torch_cpp_torch_namespace__nested_view_from_buffer_copy_out_out_Tensor_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__nested_view_from_buffer_copy_out_out_Tensor_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_Tensor, 5},
+    {"_torch_cpp_torch_namespace__nested_view_from_jagged_copy_out_out_Tensor_self_Tensor_offsets_Tensor_dummy_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__nested_view_from_jagged_copy_out_out_Tensor_self_Tensor_offsets_Tensor_dummy_Tensor, 8},
+    {"_torch_cpp_torch_namespace__nested_get_values_copy_out_out_Tensor_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__nested_get_values_copy_out_out_Tensor_self_Tensor, 2},
     {"_torch_cpp_torch_namespace__trilinear_out_out_Tensor_i1_Tensor_i2_Tensor_i3_Tensor_expand1_IntArrayRef_expand2_IntArrayRef_expand3_IntArrayRef_sumdim_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace__trilinear_out_out_Tensor_i1_Tensor_i2_Tensor_i3_Tensor_expand1_IntArrayRef_expand2_IntArrayRef_expand3_IntArrayRef_sumdim_IntArrayRef, 9},
     {"_torch_cpp_torch_namespace__unique_out_out0_Tensor_out1_Tensor_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__unique_out_out0_Tensor_out1_Tensor_self_Tensor, 5},
     {"_torch_cpp_torch_namespace_unique_dim_out_out0_Tensor_out1_Tensor_out2_Tensor_self_Tensor_dim_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace_unique_dim_out_out0_Tensor_out1_Tensor_out2_Tensor_self_Tensor_dim_int64_t, 8},
@@ -48912,6 +51083,8 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_namespace_binomial_out_out_Tensor_count_Tensor_prob_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_binomial_out_out_Tensor_count_Tensor_prob_Tensor, 4},
     {"_torch_cpp_torch_namespace_native_norm_out_out_Tensor_self_Tensor_p_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace_native_norm_out_out_Tensor_self_Tensor_p_Scalar, 3},
     {"_torch_cpp_torch_namespace_native_norm_out_out_Tensor_self_Tensor_p_Scalar_dim_IntArrayRef_keepdim_bool_dtype_ScalarType", (DL_FUNC) &_torch_cpp_torch_namespace_native_norm_out_out_Tensor_self_Tensor_p_Scalar_dim_IntArrayRef_keepdim_bool_dtype_ScalarType, 6},
+    {"_torch_cpp_torch_namespace__batch_norm_with_update_functional_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double", (DL_FUNC) &_torch_cpp_torch_namespace__batch_norm_with_update_functional_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double, 7},
+    {"_torch_cpp_torch_namespace__batch_norm_no_update_out_out0_Tensor_out1_Tensor_out2_Tensor_out3_Tensor_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double", (DL_FUNC) &_torch_cpp_torch_namespace__batch_norm_no_update_out_out0_Tensor_out1_Tensor_out2_Tensor_out3_Tensor_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double, 11},
     {"_torch_cpp_torch_namespace__sparse_sum_out_out_Tensor_self_Tensor_dim_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace__sparse_sum_out_out_Tensor_self_Tensor_dim_IntArrayRef, 3},
     {"_torch_cpp_torch_namespace__sparse_sum_backward_out_out_Tensor_grad_Tensor_self_Tensor_dim_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace__sparse_sum_backward_out_out_Tensor_grad_Tensor_self_Tensor_dim_IntArrayRef, 4},
     {"_torch_cpp_torch_namespace__sparse_csr_sum_out_out_Tensor_self_Tensor_dim_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace__sparse_csr_sum_out_out_Tensor_self_Tensor_dim_IntArrayRef, 5},
@@ -48936,27 +51109,28 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_namespace__sparse_addmm_out_out_Tensor_self_Tensor_mat1_Tensor_mat2_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__sparse_addmm_out_out_Tensor_self_Tensor_mat1_Tensor_mat2_Tensor, 6},
     {"_torch_cpp_torch_namespace_sparse_coo_tensor_out_out_Tensor_size_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace_sparse_coo_tensor_out_out_Tensor_size_IntArrayRef, 2},
     {"_torch_cpp_torch_namespace__sparse_coo_tensor_with_dims_out_out_Tensor_sparse_dim_int64_t_dense_dim_int64_t_size_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace__sparse_coo_tensor_with_dims_out_out_Tensor_sparse_dim_int64_t_dense_dim_int64_t_size_IntArrayRef, 4},
-    {"_torch_cpp_torch_namespace__sparse_coo_tensor_with_dims_and_tensors_out_out_Tensor_sparse_dim_int64_t_dense_dim_int64_t_size_IntArrayRef_indices_Tensor_values_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__sparse_coo_tensor_with_dims_and_tensors_out_out_Tensor_sparse_dim_int64_t_dense_dim_int64_t_size_IntArrayRef_indices_Tensor_values_Tensor, 6},
+    {"_torch_cpp_torch_namespace__sparse_coo_tensor_with_dims_and_tensors_out_out_Tensor_sparse_dim_int64_t_dense_dim_int64_t_size_IntArrayRef_indices_Tensor_values_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__sparse_coo_tensor_with_dims_and_tensors_out_out_Tensor_sparse_dim_int64_t_dense_dim_int64_t_size_IntArrayRef_indices_Tensor_values_Tensor, 7},
     {"_torch_cpp_torch_namespace_sparse_resize_out_out_Tensor_self_Tensor_size_IntArrayRef_sparse_dim_int64_t_dense_dim_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace_sparse_resize_out_out_Tensor_self_Tensor_size_IntArrayRef_sparse_dim_int64_t_dense_dim_int64_t, 5},
     {"_torch_cpp_torch_namespace_sparse_resize_self_Tensor_size_IntArrayRef_sparse_dim_int64_t_dense_dim_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace_sparse_resize_self_Tensor_size_IntArrayRef_sparse_dim_int64_t_dense_dim_int64_t, 4},
     {"_torch_cpp_torch_namespace_sparse_resize_and_clear_out_out_Tensor_self_Tensor_size_IntArrayRef_sparse_dim_int64_t_dense_dim_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace_sparse_resize_and_clear_out_out_Tensor_self_Tensor_size_IntArrayRef_sparse_dim_int64_t_dense_dim_int64_t, 5},
     {"_torch_cpp_torch_namespace_sparse_resize_and_clear_self_Tensor_size_IntArrayRef_sparse_dim_int64_t_dense_dim_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace_sparse_resize_and_clear_self_Tensor_size_IntArrayRef_sparse_dim_int64_t_dense_dim_int64_t, 4},
     {"_torch_cpp_torch_namespace_sparse_mask_out_out_Tensor_self_Tensor_mask_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_sparse_mask_out_out_Tensor_self_Tensor_mask_Tensor, 3},
-    {"_torch_cpp_torch_namespace__to_dense_out_out_Tensor_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__to_dense_out_out_Tensor_self_Tensor, 3},
+    {"_torch_cpp_torch_namespace__sparse_mask_projection_out_out_Tensor_self_Tensor_mask_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__sparse_mask_projection_out_out_Tensor_self_Tensor_mask_Tensor, 4},
+    {"_torch_cpp_torch_namespace__to_dense_out_out_Tensor_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__to_dense_out_out_Tensor_self_Tensor, 4},
     {"_torch_cpp_torch_namespace__coalesce_out_out_Tensor_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__coalesce_out_out_Tensor_self_Tensor, 2},
     {"_torch_cpp_torch_namespace__coalesced_out_out_Tensor_self_Tensor_coalesced_bool", (DL_FUNC) &_torch_cpp_torch_namespace__coalesced_out_out_Tensor_self_Tensor_coalesced_bool, 3},
     {"_torch_cpp_torch_namespace__coalesced_self_Tensor_coalesced_bool", (DL_FUNC) &_torch_cpp_torch_namespace__coalesced_self_Tensor_coalesced_bool, 2},
     {"_torch_cpp_torch_namespace_copy_sparse_to_sparse_out_out_Tensor_self_Tensor_src_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_copy_sparse_to_sparse_out_out_Tensor_self_Tensor_src_Tensor, 4},
     {"_torch_cpp_torch_namespace_copy_sparse_to_sparse_self_Tensor_src_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_copy_sparse_to_sparse_self_Tensor_src_Tensor, 3},
-    {"_torch_cpp_torch_namespace_to_sparse_out_out_Tensor_self_Tensor_sparse_dim_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace_to_sparse_out_out_Tensor_self_Tensor_sparse_dim_int64_t, 3},
-    {"_torch_cpp_torch_namespace_to_sparse_out_out_Tensor_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_to_sparse_out_out_Tensor_self_Tensor, 5},
-    {"_torch_cpp_torch_namespace_to_sparse_csr_out_out_Tensor_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_to_sparse_csr_out_out_Tensor_self_Tensor, 3},
-    {"_torch_cpp_torch_namespace_to_sparse_csc_out_out_Tensor_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_to_sparse_csc_out_out_Tensor_self_Tensor, 3},
-    {"_torch_cpp_torch_namespace_to_sparse_bsr_out_out_Tensor_self_Tensor_blocksize_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace_to_sparse_bsr_out_out_Tensor_self_Tensor_blocksize_IntArrayRef, 4},
-    {"_torch_cpp_torch_namespace_to_sparse_bsc_out_out_Tensor_self_Tensor_blocksize_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace_to_sparse_bsc_out_out_Tensor_self_Tensor_blocksize_IntArrayRef, 4},
+    {"_torch_cpp_torch_namespace__to_sparse_out_out_Tensor_self_Tensor_sparse_dim_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace__to_sparse_out_out_Tensor_self_Tensor_sparse_dim_int64_t, 3},
+    {"_torch_cpp_torch_namespace__to_sparse_out_out_Tensor_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__to_sparse_out_out_Tensor_self_Tensor, 5},
+    {"_torch_cpp_torch_namespace__to_sparse_csr_out_out_Tensor_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__to_sparse_csr_out_out_Tensor_self_Tensor, 3},
+    {"_torch_cpp_torch_namespace__to_sparse_csc_out_out_Tensor_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__to_sparse_csc_out_out_Tensor_self_Tensor, 3},
+    {"_torch_cpp_torch_namespace__to_sparse_bsr_out_out_Tensor_self_Tensor_blocksize_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace__to_sparse_bsr_out_out_Tensor_self_Tensor_blocksize_IntArrayRef, 4},
+    {"_torch_cpp_torch_namespace__to_sparse_bsc_out_out_Tensor_self_Tensor_blocksize_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace__to_sparse_bsc_out_out_Tensor_self_Tensor_blocksize_IntArrayRef, 4},
     {"_torch_cpp_torch_namespace_to_mkldnn_out_out_Tensor_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_to_mkldnn_out_out_Tensor_self_Tensor, 3},
     {"_torch_cpp_torch_namespace_mkldnn_reorder_conv2d_weight_out_out_Tensor_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_mkldnn_reorder_conv2d_weight_out_out_Tensor_self_Tensor, 7},
-    {"_torch_cpp_torch_namespace_mkldnn_reorder_conv3d_weight_out_out_Tensor_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_mkldnn_reorder_conv3d_weight_out_out_Tensor_self_Tensor, 6},
+    {"_torch_cpp_torch_namespace_mkldnn_reorder_conv3d_weight_out_out_Tensor_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_mkldnn_reorder_conv3d_weight_out_out_Tensor_self_Tensor, 7},
     {"_torch_cpp_torch_namespace_quantize_per_tensor_dynamic_out_out_Tensor_self_Tensor_dtype_ScalarType_reduce_range_bool", (DL_FUNC) &_torch_cpp_torch_namespace_quantize_per_tensor_dynamic_out_out_Tensor_self_Tensor_dtype_ScalarType_reduce_range_bool, 4},
     {"_torch_cpp_torch_namespace_quantize_per_tensor_out_out_Tensor_self_Tensor_scale_double_zero_point_int64_t_dtype_ScalarType", (DL_FUNC) &_torch_cpp_torch_namespace_quantize_per_tensor_out_out_Tensor_self_Tensor_scale_double_zero_point_int64_t_dtype_ScalarType, 5},
     {"_torch_cpp_torch_namespace_quantize_per_tensor_out_out_Tensor_self_Tensor_scale_Tensor_zero_point_Tensor_dtype_ScalarType", (DL_FUNC) &_torch_cpp_torch_namespace_quantize_per_tensor_out_out_Tensor_self_Tensor_scale_Tensor_zero_point_Tensor_dtype_ScalarType, 5},
@@ -49036,7 +51210,6 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_namespace__histogramdd_from_bin_cts_out_out_Tensor_self_Tensor_bins_IntArrayRef", (DL_FUNC) &_torch_cpp_torch_namespace__histogramdd_from_bin_cts_out_out_Tensor_self_Tensor_bins_IntArrayRef, 6},
     {"_torch_cpp_torch_namespace__histogramdd_from_bin_tensors_out_out_Tensor_self_Tensor_bins_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__histogramdd_from_bin_tensors_out_out_Tensor_self_Tensor_bins_TensorList, 5},
     {"_torch_cpp_torch_namespace_remainder_out_out_Tensor_self_Scalar_other_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_remainder_out_out_Tensor_self_Scalar_other_Tensor, 3},
-    {"_torch_cpp_torch_namespace_argsort_out_out_Tensor_self_Tensor_stable_bool", (DL_FUNC) &_torch_cpp_torch_namespace_argsort_out_out_Tensor_self_Tensor_stable_bool, 5},
     {"_torch_cpp_torch_namespace_unfold_backward_out_out_Tensor_grad_in_Tensor_input_sizes_IntArrayRef_dim_int64_t_size_int64_t_step_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace_unfold_backward_out_out_Tensor_grad_in_Tensor_input_sizes_IntArrayRef_dim_int64_t_size_int64_t_step_int64_t, 6},
     {"_torch_cpp_torch_namespace_normal_out_out_Tensor_self_Tensor_mean_double_std_double", (DL_FUNC) &_torch_cpp_torch_namespace_normal_out_out_Tensor_self_Tensor_mean_double_std_double, 5},
     {"_torch_cpp_torch_namespace__amp_foreach_non_finite_check_and_unscale_out_out_TensorList_self_TensorList_found_inf_Tensor_inv_scale_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__amp_foreach_non_finite_check_and_unscale_out_out_TensorList_self_TensorList_found_inf_Tensor_inv_scale_Tensor, 4},
@@ -49044,33 +51217,38 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_namespace__amp_update_scale_out_out_Tensor_self_Tensor_growth_tracker_Tensor_found_inf_Tensor_scale_growth_factor_double_scale_backoff_factor_double_growth_interval_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace__amp_update_scale_out_out_Tensor_self_Tensor_growth_tracker_Tensor_found_inf_Tensor_scale_growth_factor_double_scale_backoff_factor_double_growth_interval_int64_t, 7},
     {"_torch_cpp_torch_namespace__amp_update_scale_self_Tensor_growth_tracker_Tensor_found_inf_Tensor_scale_growth_factor_double_scale_backoff_factor_double_growth_interval_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace__amp_update_scale_self_Tensor_growth_tracker_Tensor_found_inf_Tensor_scale_growth_factor_double_scale_backoff_factor_double_growth_interval_int64_t, 6},
     {"_torch_cpp_torch_namespace__foreach_add_out_out_TensorList_self_TensorList_scalar_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_add_out_out_TensorList_self_TensorList_scalar_Scalar, 3},
-    {"_torch_cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_scalar_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_scalar_Scalar, 3},
-    {"_torch_cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_scalar_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_scalar_Scalar, 3},
-    {"_torch_cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_scalar_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_scalar_Scalar, 3},
-    {"_torch_cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_scalar_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_scalar_Scalar, 3},
-    {"_torch_cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_scalar_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_scalar_Scalar, 3},
-    {"_torch_cpp_torch_namespace__foreach_maximum_out_out_TensorList_self_TensorList_scalar_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_maximum_out_out_TensorList_self_TensorList_scalar_Scalar, 3},
-    {"_torch_cpp_torch_namespace__foreach_minimum_out_out_TensorList_self_TensorList_scalar_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_minimum_out_out_TensorList_self_TensorList_scalar_Scalar, 3},
     {"_torch_cpp_torch_namespace__foreach_add_out_out_TensorList_self_TensorList_other_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_add_out_out_TensorList_self_TensorList_other_TensorList, 4},
+    {"_torch_cpp_torch_namespace__foreach_add_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_add_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar, 3},
+    {"_torch_cpp_torch_namespace__foreach_add_out_out_TensorList_self_TensorList_other_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_add_out_out_TensorList_self_TensorList_other_Tensor, 4},
+    {"_torch_cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_scalar_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_scalar_Scalar, 3},
     {"_torch_cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_other_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_other_TensorList, 4},
+    {"_torch_cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar, 3},
+    {"_torch_cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_scalar_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_scalar_Scalar, 3},
     {"_torch_cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_other_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_other_TensorList, 3},
+    {"_torch_cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar, 3},
+    {"_torch_cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_other_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_other_Tensor, 3},
+    {"_torch_cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_scalar_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_scalar_Scalar, 3},
     {"_torch_cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_other_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_other_TensorList, 3},
-    {"_torch_cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_other_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_other_TensorList, 3},
-    {"_torch_cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_other_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_other_TensorList, 3},
-    {"_torch_cpp_torch_namespace__foreach_maximum_out_out_TensorList_self_TensorList_other_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_maximum_out_out_TensorList_self_TensorList_other_TensorList, 3},
-    {"_torch_cpp_torch_namespace__foreach_minimum_out_out_TensorList_self_TensorList_other_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_minimum_out_out_TensorList_self_TensorList_other_TensorList, 3},
-    {"_torch_cpp_torch_namespace__foreach_add_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_add_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar, 3},
-    {"_torch_cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar, 3},
     {"_torch_cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar, 3},
-    {"_torch_cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar, 3},
-    {"_torch_cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar, 3},
+    {"_torch_cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_other_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_other_Tensor, 3},
+    {"_torch_cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_scalar_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_scalar_Scalar, 3},
+    {"_torch_cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_other_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_other_TensorList, 3},
     {"_torch_cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar, 3},
+    {"_torch_cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_scalar_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_scalar_Scalar, 3},
+    {"_torch_cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_other_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_other_TensorList, 3},
+    {"_torch_cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar, 3},
+    {"_torch_cpp_torch_namespace__foreach_maximum_out_out_TensorList_self_TensorList_scalar_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_maximum_out_out_TensorList_self_TensorList_scalar_Scalar, 3},
+    {"_torch_cpp_torch_namespace__foreach_maximum_out_out_TensorList_self_TensorList_other_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_maximum_out_out_TensorList_self_TensorList_other_TensorList, 3},
     {"_torch_cpp_torch_namespace__foreach_maximum_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_maximum_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar, 3},
+    {"_torch_cpp_torch_namespace__foreach_minimum_out_out_TensorList_self_TensorList_scalar_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_minimum_out_out_TensorList_self_TensorList_scalar_Scalar, 3},
+    {"_torch_cpp_torch_namespace__foreach_minimum_out_out_TensorList_self_TensorList_other_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_minimum_out_out_TensorList_self_TensorList_other_TensorList, 3},
     {"_torch_cpp_torch_namespace__foreach_minimum_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_minimum_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar, 3},
-    {"_torch_cpp_torch_namespace__foreach_exp_out_out_TensorList_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_exp_out_out_TensorList_self_TensorList, 2},
-    {"_torch_cpp_torch_namespace__foreach_zero_out_out_TensorList_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_zero_out_out_TensorList_self_TensorList, 2},
-    {"_torch_cpp_torch_namespace__foreach_zero_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_zero_self_TensorList, 1},
-    {"_torch_cpp_torch_namespace__foreach_sqrt_out_out_TensorList_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_sqrt_out_out_TensorList_self_TensorList, 2},
+    {"_torch_cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList, 5},
+    {"_torch_cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar, 5},
+    {"_torch_cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor, 5},
+    {"_torch_cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList, 5},
+    {"_torch_cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar, 5},
+    {"_torch_cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor, 5},
     {"_torch_cpp_torch_namespace__foreach_abs_out_out_TensorList_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_abs_out_out_TensorList_self_TensorList, 2},
     {"_torch_cpp_torch_namespace__foreach_acos_out_out_TensorList_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_acos_out_out_TensorList_self_TensorList, 2},
     {"_torch_cpp_torch_namespace__foreach_asin_out_out_TensorList_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_asin_out_out_TensorList_self_TensorList, 2},
@@ -49080,34 +51258,37 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_namespace__foreach_cosh_out_out_TensorList_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_cosh_out_out_TensorList_self_TensorList, 2},
     {"_torch_cpp_torch_namespace__foreach_erf_out_out_TensorList_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_erf_out_out_TensorList_self_TensorList, 2},
     {"_torch_cpp_torch_namespace__foreach_erfc_out_out_TensorList_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_erfc_out_out_TensorList_self_TensorList, 2},
+    {"_torch_cpp_torch_namespace__foreach_exp_out_out_TensorList_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_exp_out_out_TensorList_self_TensorList, 2},
     {"_torch_cpp_torch_namespace__foreach_expm1_out_out_TensorList_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_expm1_out_out_TensorList_self_TensorList, 2},
     {"_torch_cpp_torch_namespace__foreach_floor_out_out_TensorList_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_floor_out_out_TensorList_self_TensorList, 2},
+    {"_torch_cpp_torch_namespace__foreach_frac_out_out_TensorList_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_frac_out_out_TensorList_self_TensorList, 2},
+    {"_torch_cpp_torch_namespace__foreach_lerp_out_out_TensorList_self_TensorList_tensors1_TensorList_weights_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_lerp_out_out_TensorList_self_TensorList_tensors1_TensorList_weights_TensorList, 4},
+    {"_torch_cpp_torch_namespace__foreach_lerp_out_out_TensorList_self_TensorList_tensors1_TensorList_weight_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_lerp_out_out_TensorList_self_TensorList_tensors1_TensorList_weight_Scalar, 4},
+    {"_torch_cpp_torch_namespace__foreach_lgamma_out_out_TensorList_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_lgamma_out_out_TensorList_self_TensorList, 2},
     {"_torch_cpp_torch_namespace__foreach_log_out_out_TensorList_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_log_out_out_TensorList_self_TensorList, 2},
     {"_torch_cpp_torch_namespace__foreach_log10_out_out_TensorList_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_log10_out_out_TensorList_self_TensorList, 2},
     {"_torch_cpp_torch_namespace__foreach_log1p_out_out_TensorList_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_log1p_out_out_TensorList_self_TensorList, 2},
     {"_torch_cpp_torch_namespace__foreach_log2_out_out_TensorList_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_log2_out_out_TensorList_self_TensorList, 2},
+    {"_torch_cpp_torch_namespace__foreach_max_out_out_TensorList_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_max_out_out_TensorList_self_TensorList, 2},
     {"_torch_cpp_torch_namespace__foreach_neg_out_out_TensorList_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_neg_out_out_TensorList_self_TensorList, 2},
-    {"_torch_cpp_torch_namespace__foreach_tan_out_out_TensorList_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_tan_out_out_TensorList_self_TensorList, 2},
-    {"_torch_cpp_torch_namespace__foreach_tanh_out_out_TensorList_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_tanh_out_out_TensorList_self_TensorList, 2},
-    {"_torch_cpp_torch_namespace__foreach_sin_out_out_TensorList_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_sin_out_out_TensorList_self_TensorList, 2},
-    {"_torch_cpp_torch_namespace__foreach_sinh_out_out_TensorList_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_sinh_out_out_TensorList_self_TensorList, 2},
-    {"_torch_cpp_torch_namespace__foreach_round_out_out_TensorList_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_round_out_out_TensorList_self_TensorList, 2},
-    {"_torch_cpp_torch_namespace__foreach_lgamma_out_out_TensorList_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_lgamma_out_out_TensorList_self_TensorList, 2},
-    {"_torch_cpp_torch_namespace__foreach_frac_out_out_TensorList_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_frac_out_out_TensorList_self_TensorList, 2},
+    {"_torch_cpp_torch_namespace__foreach_norm_out_out_TensorList_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_norm_out_out_TensorList_self_TensorList, 4},
+    {"_torch_cpp_torch_namespace__foreach_pow_out_out_TensorList_self_TensorList_exponent_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_pow_out_out_TensorList_self_TensorList_exponent_TensorList, 3},
+    {"_torch_cpp_torch_namespace__foreach_pow_out_out_TensorList_self_TensorList_exponent_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_pow_out_out_TensorList_self_TensorList_exponent_Scalar, 3},
+    {"_torch_cpp_torch_namespace__foreach_pow_out_out_TensorList_self_TensorList_exponent_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_pow_out_out_TensorList_self_TensorList_exponent_ArrayRefScalar, 3},
     {"_torch_cpp_torch_namespace__foreach_reciprocal_out_out_TensorList_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_reciprocal_out_out_TensorList_self_TensorList, 2},
+    {"_torch_cpp_torch_namespace__foreach_round_out_out_TensorList_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_round_out_out_TensorList_self_TensorList, 2},
     {"_torch_cpp_torch_namespace__foreach_sigmoid_out_out_TensorList_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_sigmoid_out_out_TensorList_self_TensorList, 2},
+    {"_torch_cpp_torch_namespace__foreach_sign_out_out_TensorList_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_sign_out_out_TensorList_self_TensorList, 2},
+    {"_torch_cpp_torch_namespace__foreach_sin_out_out_TensorList_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_sin_out_out_TensorList_self_TensorList, 2},
+    {"_torch_cpp_torch_namespace__foreach_sinh_out_out_TensorList_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_sinh_out_out_TensorList_self_TensorList, 2},
+    {"_torch_cpp_torch_namespace__foreach_sqrt_out_out_TensorList_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_sqrt_out_out_TensorList_self_TensorList, 2},
+    {"_torch_cpp_torch_namespace__foreach_tan_out_out_TensorList_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_tan_out_out_TensorList_self_TensorList, 2},
+    {"_torch_cpp_torch_namespace__foreach_tanh_out_out_TensorList_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_tanh_out_out_TensorList_self_TensorList, 2},
     {"_torch_cpp_torch_namespace__foreach_trunc_out_out_TensorList_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_trunc_out_out_TensorList_self_TensorList, 2},
-    {"_torch_cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList, 5},
-    {"_torch_cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList, 5},
-    {"_torch_cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar, 5},
-    {"_torch_cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor, 5},
-    {"_torch_cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar, 5},
-    {"_torch_cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor, 5},
-    {"_torch_cpp_torch_namespace__foreach_norm_out_out_TensorList_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_norm_out_out_TensorList_self_TensorList, 3},
-    {"_torch_cpp_torch_namespace__foreach_lerp_out_out_TensorList_self_TensorList_tensors1_TensorList_weights_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_lerp_out_out_TensorList_self_TensorList_tensors1_TensorList_weights_TensorList, 4},
-    {"_torch_cpp_torch_namespace__foreach_lerp_out_out_TensorList_self_TensorList_tensors1_TensorList_weight_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_lerp_out_out_TensorList_self_TensorList_tensors1_TensorList_weight_Scalar, 4},
+    {"_torch_cpp_torch_namespace__foreach_zero_out_out_TensorList_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_zero_out_out_TensorList_self_TensorList, 2},
+    {"_torch_cpp_torch_namespace__foreach_zero_self_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_zero_self_TensorList, 1},
+    {"_torch_cpp_torch_namespace__foreach_copy_out_out_TensorList_self_TensorList_src_TensorList", (DL_FUNC) &_torch_cpp_torch_namespace__foreach_copy_out_out_TensorList_self_TensorList_src_TensorList, 4},
     {"_torch_cpp_torch_namespace_bucketize_out_out_Tensor_self_Scalar_boundaries_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_bucketize_out_out_Tensor_self_Scalar_boundaries_Tensor, 5},
-    {"_torch_cpp_torch_namespace_searchsorted_out_out_Tensor_sorted_sequence_Tensor_self_Scalar", (DL_FUNC) &_torch_cpp_torch_namespace_searchsorted_out_out_Tensor_sorted_sequence_Tensor_self_Scalar, 7},
     {"_torch_cpp_torch_namespace_glu_jvp_out_out_Tensor_glu_Tensor_x_Tensor_dx_Tensor_dim_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace_glu_jvp_out_out_Tensor_glu_Tensor_x_Tensor_dx_Tensor_dim_int64_t, 5},
     {"_torch_cpp_torch_namespace_glu_backward_jvp_out_out_Tensor_grad_x_Tensor_grad_glu_Tensor_x_Tensor_dgrad_glu_Tensor_dx_Tensor_dim_int64_t", (DL_FUNC) &_torch_cpp_torch_namespace_glu_backward_jvp_out_out_Tensor_grad_x_Tensor_grad_glu_Tensor_x_Tensor_dgrad_glu_Tensor_dx_Tensor_dim_int64_t, 7},
     {"_torch_cpp_torch_namespace_hardswish_backward_out_out_Tensor_grad_output_Tensor_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace_hardswish_backward_out_out_Tensor_grad_output_Tensor_self_Tensor, 3},
@@ -49170,13 +51351,21 @@ static const R_CallMethodDef CallEntries[] = {
     {"_torch_cpp_torch_namespace__native_multi_head_attention_out_out0_Tensor_out1_Tensor_query_Tensor_key_Tensor_value_Tensor_embed_dim_int64_t_num_head_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__native_multi_head_attention_out_out0_Tensor_out1_Tensor_query_Tensor_key_Tensor_value_Tensor_embed_dim_int64_t_num_head_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor, 15},
     {"_torch_cpp_torch_namespace__triton_scaled_dot_attention_out_out_Tensor_q_Tensor_k_Tensor_v_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__triton_scaled_dot_attention_out_out_Tensor_q_Tensor_k_Tensor_v_Tensor, 5},
     {"_torch_cpp_torch_namespace__triton_multi_head_attention_out_out_Tensor_query_Tensor_key_Tensor_value_Tensor_embed_dim_int64_t_num_head_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__triton_multi_head_attention_out_out_Tensor_query_Tensor_key_Tensor_value_Tensor_embed_dim_int64_t_num_head_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor, 11},
-    {"_torch_cpp_torch_namespace__transformer_decoder_only_layer_fwd_out_out0_Tensor_out1_Tensor_out2_Tensor_src_Tensor_embed_dim_int64_t_num_heads_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor_use_gelu_bool_norm_first_bool_eps_double_norm_weight_1_Tensor_norm_bias_1_Tensor_norm_weight_2_Tensor_norm_bias_2_Tensor_ffn_weight_1_Tensor_ffn_bias_1_Tensor_ffn_weight_2_Tensor_ffn_bias_2_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__transformer_decoder_only_layer_fwd_out_out0_Tensor_out1_Tensor_out2_Tensor_src_Tensor_embed_dim_int64_t_num_heads_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor_use_gelu_bool_norm_first_bool_eps_double_norm_weight_1_Tensor_norm_bias_1_Tensor_norm_weight_2_Tensor_norm_bias_2_Tensor_ffn_weight_1_Tensor_ffn_bias_1_Tensor_ffn_weight_2_Tensor_ffn_bias_2_Tensor, 24},
-    {"_torch_cpp_torch_namespace__native_decoder_only_multi_head_attention_out_out0_Tensor_out1_Tensor_out2_Tensor_out3_Tensor_query_Tensor_key_Tensor_value_Tensor_embed_dim_int64_t_num_head_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__native_decoder_only_multi_head_attention_out_out0_Tensor_out1_Tensor_out2_Tensor_out3_Tensor_query_Tensor_key_Tensor_value_Tensor_embed_dim_int64_t_num_head_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor, 18},
     {"_torch_cpp_torch_namespace__foobar_out_out_Tensor_self_Tensor", (DL_FUNC) &_torch_cpp_torch_namespace__foobar_out_out_Tensor_self_Tensor, 5},
     {"_torch_cpp_torch_namespace__fused_adam_out_out_TensorList_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_double_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool", (DL_FUNC) &_torch_cpp_torch_namespace__fused_adam_out_out_TensorList_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_double_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool, 16},
     {"_torch_cpp_torch_namespace__fused_adam_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_double_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool", (DL_FUNC) &_torch_cpp_torch_namespace__fused_adam_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_double_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool, 15},
+    {"_torch_cpp_torch_namespace__fused_adam_out_out_TensorList_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool", (DL_FUNC) &_torch_cpp_torch_namespace__fused_adam_out_out_TensorList_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool, 16},
+    {"_torch_cpp_torch_namespace__fused_adam_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool", (DL_FUNC) &_torch_cpp_torch_namespace__fused_adam_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool, 15},
     {"_torch_cpp_torch_namespace__fused_adamw_out_out_TensorList_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_double_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool", (DL_FUNC) &_torch_cpp_torch_namespace__fused_adamw_out_out_TensorList_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_double_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool, 16},
     {"_torch_cpp_torch_namespace__fused_adamw_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_double_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool", (DL_FUNC) &_torch_cpp_torch_namespace__fused_adamw_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_double_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool, 15},
+    {"_torch_cpp_torch_namespace__fused_adamw_out_out_TensorList_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool", (DL_FUNC) &_torch_cpp_torch_namespace__fused_adamw_out_out_TensorList_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool, 16},
+    {"_torch_cpp_torch_namespace__fused_adamw_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool", (DL_FUNC) &_torch_cpp_torch_namespace__fused_adamw_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool, 15},
+    {"_torch_cpp_torch_namespace__fused_sgd_out_out_TensorList_self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_double_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool", (DL_FUNC) &_torch_cpp_torch_namespace__fused_sgd_out_out_TensorList_self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_double_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool, 13},
+    {"_torch_cpp_torch_namespace__fused_sgd_self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_double_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool", (DL_FUNC) &_torch_cpp_torch_namespace__fused_sgd_self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_double_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool, 12},
+    {"_torch_cpp_torch_namespace__fused_sgd_out_out_TensorList_self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_Tensor_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool", (DL_FUNC) &_torch_cpp_torch_namespace__fused_sgd_out_out_TensorList_self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_Tensor_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool, 13},
+    {"_torch_cpp_torch_namespace__fused_sgd_self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_Tensor_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool", (DL_FUNC) &_torch_cpp_torch_namespace__fused_sgd_self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_Tensor_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool, 12},
+    {"_torch_cpp_torch_namespace__fused_adagrad_out_out_TensorList_self_TensorList_grads_TensorList_state_sums_TensorList_state_steps_TensorList_lr_double_lr_decay_double_weight_decay_double_eps_double_maximize_bool", (DL_FUNC) &_torch_cpp_torch_namespace__fused_adagrad_out_out_TensorList_self_TensorList_grads_TensorList_state_sums_TensorList_state_steps_TensorList_lr_double_lr_decay_double_weight_decay_double_eps_double_maximize_bool, 12},
+    {"_torch_cpp_torch_namespace__fused_adagrad_self_TensorList_grads_TensorList_state_sums_TensorList_state_steps_TensorList_lr_double_lr_decay_double_weight_decay_double_eps_double_maximize_bool", (DL_FUNC) &_torch_cpp_torch_namespace__fused_adagrad_self_TensorList_grads_TensorList_state_sums_TensorList_state_steps_TensorList_lr_double_lr_decay_double_weight_decay_double_eps_double_maximize_bool, 11},
     {"_torch_cpp_torch_generator", (DL_FUNC) &_torch_cpp_torch_generator, 0},
     {"_torch_cpp_generator_current_seed", (DL_FUNC) &_torch_cpp_generator_current_seed, 1},
     {"_torch_cpp_generator_set_current_seed", (DL_FUNC) &_torch_cpp_generator_set_current_seed, 2},
diff --git a/src/autograd.cpp b/src/autograd.cpp
index 994a692f89..2cf760a304 100644
--- a/src/autograd.cpp
+++ b/src/autograd.cpp
@@ -1,3 +1,4 @@
+#include <memory>
 #include <torch.h>
 
 #include <deque>
@@ -57,15 +58,19 @@ void call_r_gc(bool full);
   
 namespace {
 
-EventLoop<void*> gTasks;
-EventLoop<void> gBackwardTasks;
-std::atomic<bool> backward_is_running(false);
-static ThreadPool<void>* pool;
+static EventLoop<void*> gTasks;
+static EventLoop<void> gBackwardTasks;
+static std::atomic<bool> backward_is_running(false);
 
 void schedule_backward_task(std::packaged_task<void()>&& task) {
-  if (!pool) {
-    pool = new ThreadPool<void>(5);
-  }
+  // This needs to be a pointer because on Windows, disposing of this objects
+  // when the process exits causes a crash.
+  static auto pool = std::unique_ptr<ThreadPool<void>, std::function<void(ThreadPool<void>*)>>(
+    new ThreadPool<void>(5), 
+    [](auto p) {
+      p->stop();
+    }
+  );
   
   if (std::this_thread::get_id() == main_thread_id()) {
     pool->push(std::move(task));
@@ -85,7 +90,6 @@ void cpp_torch_method__backward_self_Tensor_inputs_TensorList(
   auto running_sg = makeScopeGuard([] {backward_is_running = false;});
   std::function<void()> backward([&]() {
     auto sg = makeScopeGuard([] { gTasks.stopWhenEmpty(); });
-
     lantern_Tensor__backward_tensor_tensorlist_tensor_bool_bool(
         self.get(), inputs.get(), gradient.get(), retain_graph.get(),
         create_graph.get());
diff --git a/src/codegen.cpp b/src/codegen.cpp
index aa459e49c0..436e307997 100644
--- a/src/codegen.cpp
+++ b/src/codegen.cpp
@@ -15,6 +15,7 @@ inline bool is_in(const std::string& x, const std::set<std::string>& y) {
 std::string cpp_arg_to_torch_type(SEXP obj,
                                   const std::vector<std::string>& expected_types,
                                   const std::string& arg_name) {
+                                  
   if (Rf_isSymbol(obj)) {
     return "Missing";
   }
@@ -98,18 +99,22 @@ std::string cpp_arg_to_torch_type(SEXP obj,
 
   bool is_numeric_or_list_or_null = is_numeric || is_list || is_null;
 
-  if (is_in("int64_t", etypes) && ((is_numeric && len == 1) || is_null)) {
+  if (is_in("int64_t", etypes) && ((is_numeric && len == 1))) {
     return "int64_t";
   }
 
-  if (is_in("c10::SymInt", etypes) && ((is_numeric && len == 1) || is_null)) {
-    return "c10::SymInt";
-  }
-
   if (is_in("IntArrayRef", etypes) && is_numeric_or_list_or_null) {
     return "IntArrayRef";
   }
 
+  if (is_in("int64_t", etypes) && is_null) {
+    return "int64_t";
+  }
+
+  if (is_in("c10::SymInt", etypes) && ((is_numeric && len == 1) || is_null)) {
+    return "c10::SymInt";
+  }
+
   if (is_in("ArrayRef<double>", etypes) && (is_numeric || is_null)) {
     return "ArrayRef<double>";
   }
@@ -118,6 +123,11 @@ std::string cpp_arg_to_torch_type(SEXP obj,
     return "double";
   }
 
+  if (is_in("TensorList", etypes) &&
+      (is_list || is_tensor || is_null || is_numeric)) {
+    return "TensorList";
+  }
+
   bool is_logical = Rf_isLogical(obj);
   if (is_in("bool", etypes) && is_logical && len == 1) {
     return "bool";
@@ -130,11 +140,6 @@ std::string cpp_arg_to_torch_type(SEXP obj,
     return "std::array<bool," + std::to_string(len) + ">";
   }
 
-  if (is_in("TensorList", etypes) &&
-      (is_list || is_tensor || is_null || is_numeric)) {
-    return "TensorList";
-  }
-
   if (is_in("Generator", etypes) && is_null) {
     return "Generator";
   }
@@ -152,6 +157,10 @@ std::string cpp_arg_to_torch_type(SEXP obj,
     return "const c10::List<c10::optional<Tensor>> &";
   }
 
+  if (is_in("const c10::List<::std::optional<Tensor>> &", etypes) && is_list) {
+    return "const c10::List<::std::optional<Tensor>> &";
+  }
+
   Rcpp::stop("Can't convert argument:" + arg_name);
 }
 
@@ -205,6 +214,11 @@ std::string create_fn_name(const std::string& fun_name,
   std::string type;
   for (auto x : nd_args) {
     type = cpp_arg_to_torch_type(args[x], expected_types[x], x);
+    //std::cout << "arg_name: " << x << ": " << type << std::endl;
+    for (auto y : Rcpp::as<std::vector<std::string>>(expected_types[x])) {
+      //std::cout << "expected_types: " << y << std::endl;
+    }
+    
     if (type != "Missing") {
       arg_names.push_back(x);
       arg_types.push_back(type);
diff --git a/src/gen-namespace.cpp b/src/gen-namespace.cpp
index 289046a831..58844c40f6 100644
--- a/src/gen-namespace.cpp
+++ b/src/gen-namespace.cpp
@@ -275,6 +275,12 @@ XPtrTorchTensor cpp_torch_method_all_self_Tensor_dim_int64_t (XPtrTorchTensor se
 return XPtrTorchTensor(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_method_all_self_Tensor_dim_IntArrayRef (XPtrTorchTensor self, XPtrTorchOptionalIndexIntArrayRef dim, XPtrTorchbool keepdim) {
+  auto r_out = lantern_Tensor_all_tensor_intarrayref_bool(self.get(), dim.get(), keepdim.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_method_all_self_Tensor_dim_Dimname (XPtrTorchTensor self, XPtrTorchDimname dim, XPtrTorchbool keepdim) {
   auto r_out = lantern_Tensor_all_tensor_dimname_bool(self.get(), dim.get(), keepdim.get());
@@ -293,6 +299,12 @@ XPtrTorchTensor cpp_torch_method_any_self_Tensor_dim_int64_t (XPtrTorchTensor se
 return XPtrTorchTensor(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_method_any_self_Tensor_dim_IntArrayRef (XPtrTorchTensor self, XPtrTorchOptionalIndexIntArrayRef dim, XPtrTorchbool keepdim) {
+  auto r_out = lantern_Tensor_any_tensor_intarrayref_bool(self.get(), dim.get(), keepdim.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_method_any_self_Tensor_dim_Dimname (XPtrTorchTensor self, XPtrTorchDimname dim, XPtrTorchbool keepdim) {
   auto r_out = lantern_Tensor_any_tensor_dimname_bool(self.get(), dim.get(), keepdim.get());
@@ -521,6 +533,12 @@ XPtrTorchTensor cpp_torch_method_copysign__self_Tensor_other_Scalar (XPtrTorchTe
 return XPtrTorchTensor(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_method__lazy_clone_self_Tensor (XPtrTorchTensor self) {
+  auto r_out = lantern_Tensor__lazy_clone_tensor(self.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_method_logical_not_self_Tensor (XPtrTorchTensor self) {
   auto r_out = lantern_Tensor_logical_not_tensor(self.get());
@@ -1252,8 +1270,8 @@ return XPtrTorchTensor(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensor cpp_torch_method_index_self_Tensor_indices_constc10Listc10optionalTensor (XPtrTorchTensor self, XPtrTorchOptionalIndexTensorList indices) {
-  auto r_out = lantern_Tensor_index_tensor_constclistcoptionaltensor(self.get(), indices.get());
+XPtrTorchTensor cpp_torch_method_index_self_Tensor_indices_constc10ListstdoptionalTensor (XPtrTorchTensor self, XPtrTorchOptionalIndexTensorList indices) {
+  auto r_out = lantern_Tensor_index_tensor_constcliststdoptionaltensor(self.get(), indices.get());
 return XPtrTorchTensor(r_out);
 }
 
@@ -1282,14 +1300,14 @@ return XPtrTorchTensor(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensor cpp_torch_method_index_put__self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor (XPtrTorchTensor self, XPtrTorchOptionalIndexTensorList indices, XPtrTorchTensor values, XPtrTorchbool accumulate) {
-  auto r_out = lantern_Tensor_index_put__tensor_constclistcoptionaltensor_tensor_bool(self.get(), indices.get(), values.get(), accumulate.get());
+XPtrTorchTensor cpp_torch_method_index_put__self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor (XPtrTorchTensor self, XPtrTorchOptionalIndexTensorList indices, XPtrTorchTensor values, XPtrTorchbool accumulate) {
+  auto r_out = lantern_Tensor_index_put__tensor_constcliststdoptionaltensor_tensor_bool(self.get(), indices.get(), values.get(), accumulate.get());
 return XPtrTorchTensor(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensor cpp_torch_method_index_put_self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor (XPtrTorchTensor self, XPtrTorchOptionalIndexTensorList indices, XPtrTorchTensor values, XPtrTorchbool accumulate) {
-  auto r_out = lantern_Tensor_index_put_tensor_constclistcoptionaltensor_tensor_bool(self.get(), indices.get(), values.get(), accumulate.get());
+XPtrTorchTensor cpp_torch_method_index_put_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor (XPtrTorchTensor self, XPtrTorchOptionalIndexTensorList indices, XPtrTorchTensor values, XPtrTorchbool accumulate) {
+  auto r_out = lantern_Tensor_index_put_tensor_constcliststdoptionaltensor_tensor_bool(self.get(), indices.get(), values.get(), accumulate.get());
 return XPtrTorchTensor(r_out);
 }
 
@@ -2110,6 +2128,12 @@ XPtrTorchTensor cpp_torch_method_slice_self_Tensor (XPtrTorchTensor self, XPtrTo
 return XPtrTorchTensor(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_method_slice_inverse_self_Tensor_src_Tensor (XPtrTorchTensor self, XPtrTorchTensor src, XPtrTorchindex_int64_t dim, XPtrTorchoptional_int64_t start, XPtrTorchoptional_int64_t end, XPtrTorchint64_t step) {
+  auto r_out = lantern_Tensor_slice_inverse_tensor_tensor_intt_intt_intt_intt(self.get(), src.get(), dim.get(), start.get(), end.get(), step.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_method_slice_scatter_self_Tensor_src_Tensor (XPtrTorchTensor self, XPtrTorchTensor src, XPtrTorchindex_int64_t dim, XPtrTorchoptional_int64_t start, XPtrTorchoptional_int64_t end, XPtrTorchint64_t step) {
   auto r_out = lantern_Tensor_slice_scatter_tensor_tensor_intt_intt_intt_intt(self.get(), src.get(), dim.get(), start.get(), end.get(), step.get());
@@ -2489,9 +2513,9 @@ return XPtrTorchTensor(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchIntArrayRef cpp_torch_method__nested_tensor_offsets_self_Tensor (XPtrTorchTensor self) {
-  auto r_out = lantern_Tensor__nested_tensor_offsets_tensor(self.get());
-return XPtrTorchIntArrayRef(r_out);
+XPtrTorchTensor cpp_torch_method__nested_tensor_storage_offsets_self_Tensor (XPtrTorchTensor self) {
+  auto r_out = lantern_Tensor__nested_tensor_storage_offsets_tensor(self.get());
+return XPtrTorchTensor(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
@@ -2742,14 +2766,20 @@ return XPtrTorchTensor(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensor cpp_torch_method_to_dense_self_Tensor (XPtrTorchTensor self, XPtrTorchoptional_scalar_type dtype) {
-  auto r_out = lantern_Tensor_to_dense_tensor_scalartype(self.get(), dtype.get());
+XPtrTorchTensor cpp_torch_method__sparse_mask_projection_self_Tensor_mask_Tensor (XPtrTorchTensor self, XPtrTorchTensor mask, XPtrTorchbool accumulate_matches) {
+  auto r_out = lantern_Tensor__sparse_mask_projection_tensor_tensor_bool(self.get(), mask.get(), accumulate_matches.get());
+return XPtrTorchTensor(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_method_to_dense_self_Tensor (XPtrTorchTensor self, XPtrTorchoptional_scalar_type dtype, XPtrTorchoptional_bool masked_grad) {
+  auto r_out = lantern_Tensor_to_dense_tensor_scalartype_bool(self.get(), dtype.get(), masked_grad.get());
 return XPtrTorchTensor(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensor cpp_torch_method__to_dense_self_Tensor (XPtrTorchTensor self, XPtrTorchoptional_scalar_type dtype) {
-  auto r_out = lantern_Tensor__to_dense_tensor_scalartype(self.get(), dtype.get());
+XPtrTorchTensor cpp_torch_method__to_dense_self_Tensor (XPtrTorchTensor self, XPtrTorchoptional_scalar_type dtype, XPtrTorchoptional_bool masked_grad) {
+  auto r_out = lantern_Tensor__to_dense_tensor_scalartype_bool(self.get(), dtype.get(), masked_grad.get());
 return XPtrTorchTensor(r_out);
 }
 
@@ -2867,36 +2897,72 @@ XPtrTorchTensor cpp_torch_method_to_sparse_self_Tensor_sparse_dim_int64_t (XPtrT
 return XPtrTorchTensor(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_method__to_sparse_self_Tensor_sparse_dim_int64_t (XPtrTorchTensor self, XPtrTorchint64_t sparse_dim) {
+  auto r_out = lantern_Tensor__to_sparse_tensor_intt(self.get(), sparse_dim.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_method_to_sparse_self_Tensor (XPtrTorchTensor self, XPtrTorchLayout layout, XPtrTorchOptionalIntArrayRef blocksize, XPtrTorchoptional_int64_t dense_dim) {
   auto r_out = lantern_Tensor_to_sparse_tensor_layout_intarrayref_intt(self.get(), layout.get(), blocksize.get(), dense_dim.get());
 return XPtrTorchTensor(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_method__to_sparse_self_Tensor (XPtrTorchTensor self, XPtrTorchLayout layout, XPtrTorchOptionalIntArrayRef blocksize, XPtrTorchoptional_int64_t dense_dim) {
+  auto r_out = lantern_Tensor__to_sparse_tensor_layout_intarrayref_intt(self.get(), layout.get(), blocksize.get(), dense_dim.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_method_to_sparse_csr_self_Tensor (XPtrTorchTensor self, XPtrTorchoptional_int64_t dense_dim) {
   auto r_out = lantern_Tensor_to_sparse_csr_tensor_intt(self.get(), dense_dim.get());
 return XPtrTorchTensor(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_method__to_sparse_csr_self_Tensor (XPtrTorchTensor self, XPtrTorchoptional_int64_t dense_dim) {
+  auto r_out = lantern_Tensor__to_sparse_csr_tensor_intt(self.get(), dense_dim.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_method_to_sparse_csc_self_Tensor (XPtrTorchTensor self, XPtrTorchoptional_int64_t dense_dim) {
   auto r_out = lantern_Tensor_to_sparse_csc_tensor_intt(self.get(), dense_dim.get());
 return XPtrTorchTensor(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_method__to_sparse_csc_self_Tensor (XPtrTorchTensor self, XPtrTorchoptional_int64_t dense_dim) {
+  auto r_out = lantern_Tensor__to_sparse_csc_tensor_intt(self.get(), dense_dim.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_method_to_sparse_bsr_self_Tensor_blocksize_IntArrayRef (XPtrTorchTensor self, XPtrTorchIntArrayRef blocksize, XPtrTorchoptional_int64_t dense_dim) {
   auto r_out = lantern_Tensor_to_sparse_bsr_tensor_intarrayref_intt(self.get(), blocksize.get(), dense_dim.get());
 return XPtrTorchTensor(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_method__to_sparse_bsr_self_Tensor_blocksize_IntArrayRef (XPtrTorchTensor self, XPtrTorchIntArrayRef blocksize, XPtrTorchoptional_int64_t dense_dim) {
+  auto r_out = lantern_Tensor__to_sparse_bsr_tensor_intarrayref_intt(self.get(), blocksize.get(), dense_dim.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_method_to_sparse_bsc_self_Tensor_blocksize_IntArrayRef (XPtrTorchTensor self, XPtrTorchIntArrayRef blocksize, XPtrTorchoptional_int64_t dense_dim) {
   auto r_out = lantern_Tensor_to_sparse_bsc_tensor_intarrayref_intt(self.get(), blocksize.get(), dense_dim.get());
 return XPtrTorchTensor(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_method__to_sparse_bsc_self_Tensor_blocksize_IntArrayRef (XPtrTorchTensor self, XPtrTorchIntArrayRef blocksize, XPtrTorchoptional_int64_t dense_dim) {
+  auto r_out = lantern_Tensor__to_sparse_bsc_tensor_intarrayref_intt(self.get(), blocksize.get(), dense_dim.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_method_to_mkldnn_self_Tensor (XPtrTorchTensor self, XPtrTorchoptional_scalar_type dtype) {
   auto r_out = lantern_Tensor_to_mkldnn_tensor_scalartype(self.get(), dtype.get());
@@ -3917,6 +3983,12 @@ XPtrTorchTensor cpp_torch_method_nonzero_self_Tensor (XPtrTorchTensor self) {
 return XPtrTorchTensor(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_method_nonzero_static_self_Tensor_size_int64_t (XPtrTorchTensor self, XPtrTorchint64_t size, XPtrTorchint64_t fill_value) {
+  auto r_out = lantern_Tensor_nonzero_static_tensor_intt_intt(self.get(), size.get(), fill_value.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensorList cpp_torch_method_nonzero_numpy_self_Tensor (XPtrTorchTensor self) {
   auto r_out = lantern_Tensor_nonzero_numpy_tensor(self.get());
@@ -4672,11 +4744,60 @@ void cpp_torch_namespace__assert_async_self_Tensor (XPtrTorchTensor self) {
   lantern__assert_async_tensor(self.get());
 }
 
+// [[Rcpp::export(rng=false)]]
+void cpp_torch_namespace__assert_async_self_Tensor_assert_msg_c10string_view (XPtrTorchTensor self, XPtrTorchstring_view assert_msg) {
+  lantern__assert_async_tensor_cstringview(self.get(), assert_msg.get());
+}
+
+// [[Rcpp::export(rng=false)]]
+void cpp_torch_namespace__assert_scalar_self_Scalar_assert_msg_c10string_view (XPtrTorchScalar self, XPtrTorchstring_view assert_msg) {
+  lantern__assert_scalar_scalar_cstringview(self.get(), assert_msg.get());
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace__functional_assert_scalar_self_Scalar_assert_msg_c10string_view_dep_token_Tensor (XPtrTorchScalar self, XPtrTorchstring_view assert_msg, XPtrTorchTensor dep_token) {
+  auto r_out = lantern__functional_assert_scalar_scalar_cstringview_tensor(self.get(), assert_msg.get(), dep_token.get());
+return XPtrTorchTensor(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace__functional_assert_async_self_Tensor_assert_msg_c10string_view_dep_token_Tensor (XPtrTorchTensor self, XPtrTorchstring_view assert_msg, XPtrTorchTensor dep_token) {
+  auto r_out = lantern__functional_assert_async_tensor_cstringview_tensor(self.get(), assert_msg.get(), dep_token.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 void cpp_torch_namespace__assert_tensor_metadata_a_Tensor (XPtrTorchTensor a, XPtrTorchOptionalIntArrayRef size, XPtrTorchOptionalIntArrayRef stride, XPtrTorchoptional_scalar_type dtype) {
   lantern__assert_tensor_metadata_tensor_intarrayref_intarrayref_scalartype(a.get(), size.get(), stride.get(), dtype.get());
 }
 
+// [[Rcpp::export(rng=false)]]
+void cpp_torch_namespace__print_s_c10string_view (XPtrTorchstring_view s) {
+  lantern__print_cstringview(s.get());
+}
+
+// [[Rcpp::export(rng=false)]]
+void cpp_torch_namespace_sym_constrain_range_size_Scalar (XPtrTorchScalar size, XPtrTorchoptional_int64_t min, XPtrTorchoptional_int64_t max) {
+  lantern_sym_constrain_range_scalar_intt_intt(size.get(), min.get(), max.get());
+}
+
+// [[Rcpp::export(rng=false)]]
+void cpp_torch_namespace_sym_constrain_range_for_size_size_Scalar (XPtrTorchScalar size, XPtrTorchoptional_int64_t min, XPtrTorchoptional_int64_t max) {
+  lantern_sym_constrain_range_for_size_scalar_intt_intt(size.get(), min.get(), max.get());
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace__functional_sym_constrain_range_size_Scalar_min_int64_t_max_int64_t_dep_token_Tensor (XPtrTorchScalar size, XPtrTorchoptional_int64_t min, XPtrTorchoptional_int64_t max, XPtrTorchTensor dep_token) {
+  auto r_out = lantern__functional_sym_constrain_range_scalar_intt_intt_tensor(size.get(), min.get(), max.get(), dep_token.get());
+return XPtrTorchTensor(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace__functional_sym_constrain_range_for_size_size_Scalar_min_int64_t_max_int64_t_dep_token_Tensor (XPtrTorchScalar size, XPtrTorchoptional_int64_t min, XPtrTorchoptional_int64_t max, XPtrTorchTensor dep_token) {
+  auto r_out = lantern__functional_sym_constrain_range_for_size_scalar_intt_intt_tensor(size.get(), min.get(), max.get(), dep_token.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchbool cpp_torch_namespace__use_cudnn_ctc_loss_log_probs_Tensor_targets_Tensor_input_lengths_IntArrayRef_target_lengths_IntArrayRef_blank_int64_t (XPtrTorchTensor log_probs, XPtrTorchTensor targets, XPtrTorchIntArrayRef input_lengths, XPtrTorchIntArrayRef target_lengths, XPtrTorchint64_t blank) {
   auto r_out = lantern__use_cudnn_ctc_loss_tensor_tensor_intarrayref_intarrayref_intt(log_probs.get(), targets.get(), input_lengths.get(), target_lengths.get(), blank.get());
@@ -5141,18 +5262,36 @@ XPtrTorchTensor cpp_torch_namespace__test_check_tensor_self_Tensor (XPtrTorchTen
 return XPtrTorchTensor(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace__test_functorch_fallback_self_Tensor_other_Tensor (XPtrTorchTensor self, XPtrTorchTensor other) {
+  auto r_out = lantern__test_functorch_fallback_tensor_tensor(self.get(), other.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_namespace_all_self_Tensor_dim_int64_t (XPtrTorchTensor self, XPtrTorchindex_int64_t dim, XPtrTorchbool keepdim) {
   auto r_out = lantern_all_tensor_intt_bool(self.get(), dim.get(), keepdim.get());
 return XPtrTorchTensor(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace_all_self_Tensor_dim_IntArrayRef (XPtrTorchTensor self, XPtrTorchOptionalIndexIntArrayRef dim, XPtrTorchbool keepdim) {
+  auto r_out = lantern_all_tensor_intarrayref_bool(self.get(), dim.get(), keepdim.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_namespace_all_out_out_Tensor_self_Tensor_dim_int64_t (XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchindex_int64_t dim, XPtrTorchbool keepdim) {
   auto r_out = lantern_all_out_tensor_tensor_intt_bool(out.get(), self.get(), dim.get(), keepdim.get());
 return XPtrTorchTensor(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace_all_out_out_Tensor_self_Tensor_dim_IntArrayRef (XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchOptionalIndexIntArrayRef dim, XPtrTorchbool keepdim) {
+  auto r_out = lantern_all_out_tensor_tensor_intarrayref_bool(out.get(), self.get(), dim.get(), keepdim.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_namespace_all_self_Tensor_dim_Dimname (XPtrTorchTensor self, XPtrTorchDimname dim, XPtrTorchbool keepdim) {
   auto r_out = lantern_all_tensor_dimname_bool(self.get(), dim.get(), keepdim.get());
@@ -5177,12 +5316,24 @@ XPtrTorchTensor cpp_torch_namespace_any_self_Tensor_dim_int64_t (XPtrTorchTensor
 return XPtrTorchTensor(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace_any_self_Tensor_dim_IntArrayRef (XPtrTorchTensor self, XPtrTorchOptionalIndexIntArrayRef dim, XPtrTorchbool keepdim) {
+  auto r_out = lantern_any_tensor_intarrayref_bool(self.get(), dim.get(), keepdim.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_namespace_any_out_out_Tensor_self_Tensor_dim_int64_t (XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchindex_int64_t dim, XPtrTorchbool keepdim) {
   auto r_out = lantern_any_out_tensor_tensor_intt_bool(out.get(), self.get(), dim.get(), keepdim.get());
 return XPtrTorchTensor(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace_any_out_out_Tensor_self_Tensor_dim_IntArrayRef (XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchOptionalIndexIntArrayRef dim, XPtrTorchbool keepdim) {
+  auto r_out = lantern_any_out_tensor_tensor_intarrayref_bool(out.get(), self.get(), dim.get(), keepdim.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_namespace_any_self_Tensor_dim_Dimname (XPtrTorchTensor self, XPtrTorchDimname dim, XPtrTorchbool keepdim) {
   auto r_out = lantern_any_tensor_dimname_bool(self.get(), dim.get(), keepdim.get());
@@ -5623,6 +5774,12 @@ XPtrTorchTensor cpp_torch_namespace_copysign_out_out_Tensor_self_Tensor_other_Sc
 return XPtrTorchTensor(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace__lazy_clone_self_Tensor (XPtrTorchTensor self) {
+  auto r_out = lantern__lazy_clone_tensor(self.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_namespace_logical_not_self_Tensor (XPtrTorchTensor self) {
   auto r_out = lantern_logical_not_tensor(self.get());
@@ -6265,6 +6422,12 @@ XPtrTorchTensor cpp_torch_namespace_cudnn_convolution_self_Tensor_weight_Tensor_
 return XPtrTorchTensor(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace_cudnn_convolution_out_out_Tensor_self_Tensor_weight_Tensor_padding_IntArrayRef_stride_IntArrayRef_dilation_IntArrayRef_groups_int64_t_benchmark_bool_deterministic_bool_allow_tf32_bool (XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchTensor weight, XPtrTorchIntArrayRef padding, XPtrTorchIntArrayRef stride, XPtrTorchIntArrayRef dilation, XPtrTorchint64_t groups, XPtrTorchbool benchmark, XPtrTorchbool deterministic, XPtrTorchbool allow_tf32) {
+  auto r_out = lantern_cudnn_convolution_out_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intt_bool_bool_bool(out.get(), self.get(), weight.get(), padding.get(), stride.get(), dilation.get(), groups.get(), benchmark.get(), deterministic.get(), allow_tf32.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_namespace_cudnn_convolution_transpose_self_Tensor_weight_Tensor_padding_IntArrayRef_output_padding_IntArrayRef_stride_IntArrayRef_dilation_IntArrayRef_groups_int64_t_benchmark_bool_deterministic_bool_allow_tf32_bool (XPtrTorchTensor self, XPtrTorchTensor weight, XPtrTorchIntArrayRef padding, XPtrTorchIntArrayRef output_padding, XPtrTorchIntArrayRef stride, XPtrTorchIntArrayRef dilation, XPtrTorchint64_t groups, XPtrTorchbool benchmark, XPtrTorchbool deterministic, XPtrTorchbool allow_tf32) {
   auto r_out = lantern_cudnn_convolution_transpose_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt_bool_bool_bool(self.get(), weight.get(), padding.get(), output_padding.get(), stride.get(), dilation.get(), groups.get(), benchmark.get(), deterministic.get(), allow_tf32.get());
@@ -6808,6 +6971,12 @@ XPtrTorchTensor cpp_torch_namespace_empty_size_IntArrayRef (XPtrTorchIntArrayRef
 return XPtrTorchTensor(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace_empty_permuted_size_IntArrayRef_physical_layout_IntArrayRef (XPtrTorchIntArrayRef size, XPtrTorchIntArrayRef physical_layout, XPtrTorchTensorOptions options) {
+  auto r_out = lantern_empty_permuted_intarrayref_intarrayref_tensoroptions(size.get(), physical_layout.get(), options.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_namespace__empty_affine_quantized_size_IntArrayRef (XPtrTorchIntArrayRef size, XPtrTorchTensorOptions options, XPtrTorchdouble scale, XPtrTorchint64_t zero_point, XPtrTorchoptional_memory_format memory_format) {
   auto r_out = lantern__empty_affine_quantized_intarrayref_tensoroptions_double_intt_memoryformat(size.get(), options.get(), scale.get(), zero_point.get(), memory_format.get());
@@ -7311,36 +7480,32 @@ void cpp_torch_namespace__validate_compressed_sparse_indices_is_crow_bool_compre
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchint64_t cpp_torch_namespace__cufft_get_plan_cache_size_device_index_int64_t (XPtrTorchint64_t device_index) {
-  auto r_out = lantern__cufft_get_plan_cache_size_intt(device_index.get());
-return XPtrTorchint64_t(r_out);
-}
-
-// [[Rcpp::export(rng=false)]]
-XPtrTorchint64_t cpp_torch_namespace__cufft_get_plan_cache_max_size_device_index_int64_t (XPtrTorchint64_t device_index) {
-  auto r_out = lantern__cufft_get_plan_cache_max_size_intt(device_index.get());
-return XPtrTorchint64_t(r_out);
+XPtrTorchTensor cpp_torch_namespace_index_self_Tensor_indices_constc10ListstdoptionalTensor (XPtrTorchTensor self, XPtrTorchOptionalIndexTensorList indices) {
+  auto r_out = lantern_index_tensor_constcliststdoptionaltensor(self.get(), indices.get());
+return XPtrTorchTensor(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__cufft_set_plan_cache_max_size_device_index_int64_t_max_size_int64_t (XPtrTorchint64_t device_index, XPtrTorchint64_t max_size) {
-  lantern__cufft_set_plan_cache_max_size_intt_intt(device_index.get(), max_size.get());
+XPtrTorchTensor cpp_torch_namespace_index_out_out_Tensor_self_Tensor_indices_constc10ListstdoptionalTensor (XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchOptionalIndexTensorList indices) {
+  auto r_out = lantern_index_out_tensor_tensor_constcliststdoptionaltensor(out.get(), self.get(), indices.get());
+return XPtrTorchTensor(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__cufft_clear_plan_cache_device_index_int64_t (XPtrTorchint64_t device_index) {
-  lantern__cufft_clear_plan_cache_intt(device_index.get());
+XPtrTorchTensor cpp_torch_namespace__unsafe_index_self_Tensor_indices_constc10ListstdoptionalTensor (XPtrTorchTensor self, XPtrTorchOptionalIndexTensorList indices) {
+  auto r_out = lantern__unsafe_index_tensor_constcliststdoptionaltensor(self.get(), indices.get());
+return XPtrTorchTensor(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensor cpp_torch_namespace_index_self_Tensor_indices_constc10Listc10optionalTensor (XPtrTorchTensor self, XPtrTorchOptionalIndexTensorList indices) {
-  auto r_out = lantern_index_tensor_constclistcoptionaltensor(self.get(), indices.get());
+XPtrTorchTensor cpp_torch_namespace__unsafe_masked_index_self_Tensor_mask_Tensor_indices_constc10ListstdoptionalTensor_fill_Scalar (XPtrTorchTensor self, XPtrTorchTensor mask, XPtrTorchOptionalIndexTensorList indices, XPtrTorchScalar fill) {
+  auto r_out = lantern__unsafe_masked_index_tensor_tensor_constcliststdoptionaltensor_scalar(self.get(), mask.get(), indices.get(), fill.get());
 return XPtrTorchTensor(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensor cpp_torch_namespace_index_out_out_Tensor_self_Tensor_indices_constc10Listc10optionalTensor (XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchOptionalIndexTensorList indices) {
-  auto r_out = lantern_index_out_tensor_tensor_constclistcoptionaltensor(out.get(), self.get(), indices.get());
+XPtrTorchTensor cpp_torch_namespace__unsafe_masked_index_put_accumulate_self_Tensor_mask_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor (XPtrTorchTensor self, XPtrTorchTensor mask, XPtrTorchOptionalIndexTensorList indices, XPtrTorchTensor values) {
+  auto r_out = lantern__unsafe_masked_index_put_accumulate_tensor_tensor_constcliststdoptionaltensor_tensor(self.get(), mask.get(), indices.get(), values.get());
 return XPtrTorchTensor(r_out);
 }
 
@@ -7363,20 +7528,26 @@ return XPtrTorchTensor(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensor cpp_torch_namespace_index_put__self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor (XPtrTorchTensor self, XPtrTorchOptionalIndexTensorList indices, XPtrTorchTensor values, XPtrTorchbool accumulate) {
-  auto r_out = lantern_index_put__tensor_constclistcoptionaltensor_tensor_bool(self.get(), indices.get(), values.get(), accumulate.get());
+XPtrTorchTensor cpp_torch_namespace_index_put__self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor (XPtrTorchTensor self, XPtrTorchOptionalIndexTensorList indices, XPtrTorchTensor values, XPtrTorchbool accumulate) {
+  auto r_out = lantern_index_put__tensor_constcliststdoptionaltensor_tensor_bool(self.get(), indices.get(), values.get(), accumulate.get());
+return XPtrTorchTensor(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace_index_put_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor (XPtrTorchTensor self, XPtrTorchOptionalIndexTensorList indices, XPtrTorchTensor values, XPtrTorchbool accumulate) {
+  auto r_out = lantern_index_put_tensor_constcliststdoptionaltensor_tensor_bool(self.get(), indices.get(), values.get(), accumulate.get());
 return XPtrTorchTensor(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensor cpp_torch_namespace_index_put_self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor (XPtrTorchTensor self, XPtrTorchOptionalIndexTensorList indices, XPtrTorchTensor values, XPtrTorchbool accumulate) {
-  auto r_out = lantern_index_put_tensor_constclistcoptionaltensor_tensor_bool(self.get(), indices.get(), values.get(), accumulate.get());
+XPtrTorchTensor cpp_torch_namespace__unsafe_index_put_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor (XPtrTorchTensor self, XPtrTorchOptionalIndexTensorList indices, XPtrTorchTensor values, XPtrTorchbool accumulate) {
+  auto r_out = lantern__unsafe_index_put_tensor_constcliststdoptionaltensor_tensor_bool(self.get(), indices.get(), values.get(), accumulate.get());
 return XPtrTorchTensor(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensor cpp_torch_namespace__index_put_impl__self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor (XPtrTorchTensor self, XPtrTorchOptionalIndexTensorList indices, XPtrTorchTensor values, XPtrTorchbool accumulate, XPtrTorchbool unsafe) {
-  auto r_out = lantern__index_put_impl__tensor_constclistcoptionaltensor_tensor_bool_bool(self.get(), indices.get(), values.get(), accumulate.get(), unsafe.get());
+XPtrTorchTensor cpp_torch_namespace__index_put_impl__self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor (XPtrTorchTensor self, XPtrTorchOptionalIndexTensorList indices, XPtrTorchTensor values, XPtrTorchbool accumulate, XPtrTorchbool unsafe) {
+  auto r_out = lantern__index_put_impl__tensor_constcliststdoptionaltensor_tensor_bool_bool(self.get(), indices.get(), values.get(), accumulate.get(), unsafe.get());
 return XPtrTorchTensor(r_out);
 }
 
@@ -7566,6 +7737,12 @@ auto wrap = XPtrTorchvector_void(r_out);
 return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 1)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 2)));
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace_rms_norm_input_Tensor_normalized_shape_IntArrayRef (XPtrTorchTensor input, XPtrTorchIntArrayRef normalized_shape, XPtrTorchOptionalTensor weight, XPtrTorchOptionaldouble eps) {
+  auto r_out = lantern_rms_norm_tensor_intarrayref_tensor_double(input.get(), normalized_shape.get(), weight.get(), eps.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_namespace_nan_to_num_self_Tensor (XPtrTorchTensor self, XPtrTorchOptionaldouble nan, XPtrTorchOptionaldouble posinf, XPtrTorchOptionaldouble neginf) {
   auto r_out = lantern_nan_to_num_tensor_double_double_double(self.get(), nan.get(), posinf.get(), neginf.get());
@@ -7629,6 +7806,68 @@ auto wrap = XPtrTorchvector_void(r_out);
 return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 1)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 2)));
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace__cslt_compress_input_Tensor (XPtrTorchTensor input) {
+  auto r_out = lantern__cslt_compress_tensor(input.get());
+return XPtrTorchTensor(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace__cslt_sparse_mm_compressed_A_Tensor_dense_B_Tensor (XPtrTorchTensor compressed_A, XPtrTorchTensor dense_B, XPtrTorchOptionalTensor bias, XPtrTorchOptionalTensor alpha, XPtrTorchoptional_scalar_type out_dtype, XPtrTorchbool transpose_result, XPtrTorchint64_t alg_id) {
+  auto r_out = lantern__cslt_sparse_mm_tensor_tensor_tensor_tensor_scalartype_bool_intt(compressed_A.get(), dense_B.get(), bias.get(), alpha.get(), out_dtype.get(), transpose_result.get(), alg_id.get());
+return XPtrTorchTensor(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchint64_t cpp_torch_namespace__cslt_sparse_mm_search_compressed_A_Tensor_dense_B_Tensor (XPtrTorchTensor compressed_A, XPtrTorchTensor dense_B, XPtrTorchOptionalTensor bias, XPtrTorchOptionalTensor alpha, XPtrTorchoptional_scalar_type out_dtype, XPtrTorchbool transpose_result) {
+  auto r_out = lantern__cslt_sparse_mm_search_tensor_tensor_tensor_tensor_scalartype_bool(compressed_A.get(), dense_B.get(), bias.get(), alpha.get(), out_dtype.get(), transpose_result.get());
+return XPtrTorchint64_t(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+Rcpp::List cpp_torch_namespace__sparse_semi_structured_tile_input_Tensor (XPtrTorchTensor input, XPtrTorchstring_view algorithm, XPtrTorchbool use_cutlass) {
+  auto r_out = lantern__sparse_semi_structured_tile_tensor_cstringview_bool(input.get(), algorithm.get(), use_cutlass.get());
+auto wrap = XPtrTorchvector_void(r_out);
+return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 1)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 2)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 3)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 4)));
+}
+
+// [[Rcpp::export(rng=false)]]
+Rcpp::List cpp_torch_namespace__sparse_semi_structured_apply_input_Tensor_thread_masks_Tensor (XPtrTorchTensor input, XPtrTorchTensor thread_masks) {
+  auto r_out = lantern__sparse_semi_structured_apply_tensor_tensor(input.get(), thread_masks.get());
+auto wrap = XPtrTorchvector_void(r_out);
+return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 1)));
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace__sparse_semi_structured_apply_dense_input_Tensor_thread_masks_Tensor (XPtrTorchTensor input, XPtrTorchTensor thread_masks) {
+  auto r_out = lantern__sparse_semi_structured_apply_dense_tensor_tensor(input.get(), thread_masks.get());
+return XPtrTorchTensor(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace__sparse_semi_structured_linear_input_Tensor_weight_Tensor_meta_Tensor (XPtrTorchTensor input, XPtrTorchTensor weight, XPtrTorchTensor meta, XPtrTorchOptionalTensor bias, XPtrTorchoptional_string_view activation, XPtrTorchoptional_scalar_type out_dtype) {
+  auto r_out = lantern__sparse_semi_structured_linear_tensor_tensor_tensor_tensor_cstringview_scalartype(input.get(), weight.get(), meta.get(), bias.get(), activation.get(), out_dtype.get());
+return XPtrTorchTensor(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace__sparse_semi_structured_mm_mat1_Tensor_mat1_meta_Tensor_mat2_Tensor (XPtrTorchTensor mat1, XPtrTorchTensor mat1_meta, XPtrTorchTensor mat2, XPtrTorchoptional_scalar_type out_dtype) {
+  auto r_out = lantern__sparse_semi_structured_mm_tensor_tensor_tensor_scalartype(mat1.get(), mat1_meta.get(), mat2.get(), out_dtype.get());
+return XPtrTorchTensor(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace__sparse_semi_structured_addmm_input_Tensor_mat1_Tensor_mat1_meta_Tensor_mat2_Tensor (XPtrTorchTensor input, XPtrTorchTensor mat1, XPtrTorchTensor mat1_meta, XPtrTorchTensor mat2, XPtrTorchScalar alpha, XPtrTorchScalar beta, XPtrTorchoptional_scalar_type out_dtype) {
+  auto r_out = lantern__sparse_semi_structured_addmm_tensor_tensor_tensor_tensor_scalar_scalar_scalartype(input.get(), mat1.get(), mat1_meta.get(), mat2.get(), alpha.get(), beta.get(), out_dtype.get());
+return XPtrTorchTensor(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace__mixed_dtypes_linear_input_Tensor_weight_Tensor_scale_Tensor (XPtrTorchTensor input, XPtrTorchTensor weight, XPtrTorchTensor scale, XPtrTorchOptionalTensor bias, XPtrTorchoptional_string_view activation) {
+  auto r_out = lantern__mixed_dtypes_linear_tensor_tensor_tensor_tensor_cstringview(input.get(), weight.get(), scale.get(), bias.get(), activation.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_namespace_fbgemm_linear_int8_weight_fp32_activation_input_Tensor_weight_Tensor_packed_Tensor_col_offsets_Tensor_weight_scale_Scalar_weight_zero_point_Scalar_bias_Tensor (XPtrTorchTensor input, XPtrTorchTensor weight, XPtrTorchTensor packed, XPtrTorchTensor col_offsets, XPtrTorchScalar weight_scale, XPtrTorchScalar weight_zero_point, XPtrTorchTensor bias) {
   auto r_out = lantern_fbgemm_linear_int8_weight_fp32_activation_tensor_tensor_tensor_tensor_scalar_scalar_tensor(input.get(), weight.get(), packed.get(), col_offsets.get(), weight_scale.get(), weight_zero_point.get(), bias.get());
@@ -7654,6 +7893,18 @@ XPtrTorchTensor cpp_torch_namespace_fbgemm_pack_gemm_matrix_fp16_input_Tensor (X
 return XPtrTorchTensor(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace__wrapped_linear_prepack_weight_Tensor_weight_scale_Tensor_weight_zero_point_Tensor_bias_Tensor (XPtrTorchTensor weight, XPtrTorchTensor weight_scale, XPtrTorchTensor weight_zero_point, XPtrTorchTensor bias) {
+  auto r_out = lantern__wrapped_linear_prepack_tensor_tensor_tensor_tensor(weight.get(), weight_scale.get(), weight_zero_point.get(), bias.get());
+return XPtrTorchTensor(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace__wrapped_quantized_linear_prepacked_input_Tensor_input_scale_Tensor_input_zero_point_Tensor_packed_weight_Tensor_output_scale_Tensor_output_zero_point_Tensor_out_channel_int64_t (XPtrTorchTensor input, XPtrTorchTensor input_scale, XPtrTorchTensor input_zero_point, XPtrTorchTensor packed_weight, XPtrTorchTensor output_scale, XPtrTorchTensor output_zero_point, XPtrTorchint64_t out_channel) {
+  auto r_out = lantern__wrapped_quantized_linear_prepacked_tensor_tensor_tensor_tensor_tensor_tensor_intt(input.get(), input_scale.get(), input_zero_point.get(), packed_weight.get(), output_scale.get(), output_zero_point.get(), out_channel.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_namespace_fbgemm_linear_fp16_weight_fp32_activation_input_Tensor_packed_weight_Tensor_bias_Tensor (XPtrTorchTensor input, XPtrTorchTensor packed_weight, XPtrTorchTensor bias) {
   auto r_out = lantern_fbgemm_linear_fp16_weight_fp32_activation_tensor_tensor_tensor(input.get(), packed_weight.get(), bias.get());
@@ -7702,12 +7953,48 @@ XPtrTorchTensor cpp_torch_namespace_linspace_start_Scalar_end_Scalar_steps_int64
 return XPtrTorchTensor(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace_linspace_start_Tensor_end_Tensor_steps_int64_t (XPtrTorchTensor start, XPtrTorchTensor end, XPtrTorchint64_t steps, XPtrTorchTensorOptions options) {
+  auto r_out = lantern_linspace_tensor_tensor_intt_tensoroptions(start.get(), end.get(), steps.get(), options.get());
+return XPtrTorchTensor(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace_linspace_start_Tensor_end_Scalar_steps_int64_t (XPtrTorchTensor start, XPtrTorchScalar end, XPtrTorchint64_t steps, XPtrTorchTensorOptions options) {
+  auto r_out = lantern_linspace_tensor_scalar_intt_tensoroptions(start.get(), end.get(), steps.get(), options.get());
+return XPtrTorchTensor(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace_linspace_start_Scalar_end_Tensor_steps_int64_t (XPtrTorchScalar start, XPtrTorchTensor end, XPtrTorchint64_t steps, XPtrTorchTensorOptions options) {
+  auto r_out = lantern_linspace_scalar_tensor_intt_tensoroptions(start.get(), end.get(), steps.get(), options.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_namespace_linspace_out_out_Tensor_start_Scalar_end_Scalar_steps_int64_t (XPtrTorchTensor out, XPtrTorchScalar start, XPtrTorchScalar end, XPtrTorchint64_t steps) {
   auto r_out = lantern_linspace_out_tensor_scalar_scalar_intt(out.get(), start.get(), end.get(), steps.get());
 return XPtrTorchTensor(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace_linspace_out_out_Tensor_start_Tensor_end_Tensor_steps_int64_t (XPtrTorchTensor out, XPtrTorchTensor start, XPtrTorchTensor end, XPtrTorchint64_t steps) {
+  auto r_out = lantern_linspace_out_tensor_tensor_tensor_intt(out.get(), start.get(), end.get(), steps.get());
+return XPtrTorchTensor(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace_linspace_out_out_Tensor_start_Tensor_end_Scalar_steps_int64_t (XPtrTorchTensor out, XPtrTorchTensor start, XPtrTorchScalar end, XPtrTorchint64_t steps) {
+  auto r_out = lantern_linspace_out_tensor_tensor_scalar_intt(out.get(), start.get(), end.get(), steps.get());
+return XPtrTorchTensor(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace_linspace_out_out_Tensor_start_Scalar_end_Tensor_steps_int64_t (XPtrTorchTensor out, XPtrTorchScalar start, XPtrTorchTensor end, XPtrTorchint64_t steps) {
+  auto r_out = lantern_linspace_out_tensor_scalar_tensor_intt(out.get(), start.get(), end.get(), steps.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_namespace_log_self_Tensor (XPtrTorchTensor self) {
   auto r_out = lantern_log_tensor(self.get());
@@ -7858,12 +8145,48 @@ XPtrTorchTensor cpp_torch_namespace_logspace_start_Scalar_end_Scalar_steps_int64
 return XPtrTorchTensor(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace_logspace_start_Tensor_end_Tensor_steps_int64_t (XPtrTorchTensor start, XPtrTorchTensor end, XPtrTorchint64_t steps, XPtrTorchdouble base, XPtrTorchTensorOptions options) {
+  auto r_out = lantern_logspace_tensor_tensor_intt_double_tensoroptions(start.get(), end.get(), steps.get(), base.get(), options.get());
+return XPtrTorchTensor(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace_logspace_start_Tensor_end_Scalar_steps_int64_t (XPtrTorchTensor start, XPtrTorchScalar end, XPtrTorchint64_t steps, XPtrTorchdouble base, XPtrTorchTensorOptions options) {
+  auto r_out = lantern_logspace_tensor_scalar_intt_double_tensoroptions(start.get(), end.get(), steps.get(), base.get(), options.get());
+return XPtrTorchTensor(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace_logspace_start_Scalar_end_Tensor_steps_int64_t (XPtrTorchScalar start, XPtrTorchTensor end, XPtrTorchint64_t steps, XPtrTorchdouble base, XPtrTorchTensorOptions options) {
+  auto r_out = lantern_logspace_scalar_tensor_intt_double_tensoroptions(start.get(), end.get(), steps.get(), base.get(), options.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_namespace_logspace_out_out_Tensor_start_Scalar_end_Scalar_steps_int64_t (XPtrTorchTensor out, XPtrTorchScalar start, XPtrTorchScalar end, XPtrTorchint64_t steps, XPtrTorchdouble base) {
   auto r_out = lantern_logspace_out_tensor_scalar_scalar_intt_double(out.get(), start.get(), end.get(), steps.get(), base.get());
 return XPtrTorchTensor(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace_logspace_out_out_Tensor_start_Tensor_end_Tensor_steps_int64_t (XPtrTorchTensor out, XPtrTorchTensor start, XPtrTorchTensor end, XPtrTorchint64_t steps, XPtrTorchdouble base) {
+  auto r_out = lantern_logspace_out_tensor_tensor_tensor_intt_double(out.get(), start.get(), end.get(), steps.get(), base.get());
+return XPtrTorchTensor(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace_logspace_out_out_Tensor_start_Tensor_end_Scalar_steps_int64_t (XPtrTorchTensor out, XPtrTorchTensor start, XPtrTorchScalar end, XPtrTorchint64_t steps, XPtrTorchdouble base) {
+  auto r_out = lantern_logspace_out_tensor_tensor_scalar_intt_double(out.get(), start.get(), end.get(), steps.get(), base.get());
+return XPtrTorchTensor(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace_logspace_out_out_Tensor_start_Scalar_end_Tensor_steps_int64_t (XPtrTorchTensor out, XPtrTorchScalar start, XPtrTorchTensor end, XPtrTorchint64_t steps, XPtrTorchdouble base) {
+  auto r_out = lantern_logspace_out_tensor_scalar_tensor_intt_double(out.get(), start.get(), end.get(), steps.get(), base.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_namespace_log_softmax_self_Tensor_dim_int64_t (XPtrTorchTensor self, XPtrTorchindex_int64_t dim, XPtrTorchoptional_scalar_type dtype) {
   auto r_out = lantern_log_softmax_tensor_intt_scalartype(self.get(), dim.get(), dtype.get());
@@ -8162,6 +8485,12 @@ XPtrTorchTensor cpp_torch_namespace_quantized_max_pool2d_self_Tensor_kernel_size
 return XPtrTorchTensor(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace_quantized_max_pool3d_self_Tensor_kernel_size_IntArrayRef (XPtrTorchTensor self, XPtrTorchIntArrayRef kernel_size, XPtrTorchIntArrayRef stride, XPtrTorchIntArrayRef padding, XPtrTorchIntArrayRef dilation, XPtrTorchbool ceil_mode) {
+  auto r_out = lantern_quantized_max_pool3d_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool(self.get(), kernel_size.get(), stride.get(), padding.get(), dilation.get(), ceil_mode.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_namespace_max_pool3d_self_Tensor_kernel_size_IntArrayRef (XPtrTorchTensor self, XPtrTorchIntArrayRef kernel_size, XPtrTorchIntArrayRef stride, XPtrTorchIntArrayRef padding, XPtrTorchIntArrayRef dilation, XPtrTorchbool ceil_mode) {
   auto r_out = lantern_max_pool3d_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool(self.get(), kernel_size.get(), stride.get(), padding.get(), dilation.get(), ceil_mode.get());
@@ -8174,6 +8503,12 @@ XPtrTorchTensor cpp_torch_namespace_mean_self_Tensor (XPtrTorchTensor self, XPtr
 return XPtrTorchTensor(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace_mean_out_out_Tensor_self_Tensor (XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchoptional_scalar_type dtype) {
+  auto r_out = lantern_mean_out_tensor_tensor_scalartype(out.get(), self.get(), dtype.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_namespace_mean_self_Tensor_dim_IntArrayRef (XPtrTorchTensor self, XPtrTorchOptionalIndexIntArrayRef dim, XPtrTorchbool keepdim, XPtrTorchoptional_scalar_type dtype) {
   auto r_out = lantern_mean_tensor_intarrayref_bool_scalartype(self.get(), dim.get(), keepdim.get(), dtype.get());
@@ -8421,6 +8756,36 @@ XPtrTorchTensor cpp_torch_namespace_mm_out_out_Tensor_self_Tensor_mat2_Tensor (X
 return XPtrTorchTensor(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace__int_mm_self_Tensor_mat2_Tensor (XPtrTorchTensor self, XPtrTorchTensor mat2) {
+  auto r_out = lantern__int_mm_tensor_tensor(self.get(), mat2.get());
+return XPtrTorchTensor(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace__int_mm_out_out_Tensor_self_Tensor_mat2_Tensor (XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchTensor mat2) {
+  auto r_out = lantern__int_mm_out_tensor_tensor_tensor(out.get(), self.get(), mat2.get());
+return XPtrTorchTensor(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace__convert_weight_to_int4pack_self_Tensor_innerKTiles_int64_t (XPtrTorchTensor self, XPtrTorchint64_t innerKTiles) {
+  auto r_out = lantern__convert_weight_to_int4pack_tensor_intt(self.get(), innerKTiles.get());
+return XPtrTorchTensor(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace__weight_int4pack_mm_self_Tensor_mat2_Tensor_qGroupSize_int64_t_qScaleAndZeros_Tensor (XPtrTorchTensor self, XPtrTorchTensor mat2, XPtrTorchint64_t qGroupSize, XPtrTorchTensor qScaleAndZeros) {
+  auto r_out = lantern__weight_int4pack_mm_tensor_tensor_intt_tensor(self.get(), mat2.get(), qGroupSize.get(), qScaleAndZeros.get());
+return XPtrTorchTensor(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace__weight_int8pack_mm_self_Tensor_mat2_Tensor_scales_Tensor (XPtrTorchTensor self, XPtrTorchTensor mat2, XPtrTorchTensor scales) {
+  auto r_out = lantern__weight_int8pack_mm_tensor_tensor_tensor(self.get(), mat2.get(), scales.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_namespace__sparse_mm_sparse_Tensor_dense_Tensor (XPtrTorchTensor sparse, XPtrTorchTensor dense) {
   auto r_out = lantern__sparse_mm_tensor_tensor(sparse.get(), dense.get());
@@ -8572,6 +8937,13 @@ auto wrap = XPtrTorchvector_void(r_out);
 return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 1)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 2)));
 }
 
+// [[Rcpp::export(rng=false)]]
+Rcpp::List cpp_torch_namespace__native_batch_norm_legit_no_training_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double (XPtrTorchTensor input, XPtrTorchOptionalTensor weight, XPtrTorchOptionalTensor bias, XPtrTorchTensor running_mean, XPtrTorchTensor running_var, XPtrTorchdouble momentum, XPtrTorchdouble eps) {
+  auto r_out = lantern__native_batch_norm_legit_no_training_tensor_tensor_tensor_tensor_tensor_double_double(input.get(), weight.get(), bias.get(), running_mean.get(), running_var.get(), momentum.get(), eps.get());
+auto wrap = XPtrTorchvector_void(r_out);
+return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 1)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 2)));
+}
+
 // [[Rcpp::export(rng=false)]]
 Rcpp::List cpp_torch_namespace__native_batch_norm_legit_out_out_Tensor_save_mean_Tensor_save_invstd_Tensor_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_training_bool_momentum_double_eps_double (XPtrTorchTensor out, XPtrTorchTensor save_mean, XPtrTorchTensor save_invstd, XPtrTorchTensor input, XPtrTorchOptionalTensor weight, XPtrTorchOptionalTensor bias, XPtrTorchTensor running_mean, XPtrTorchTensor running_var, XPtrTorchbool training, XPtrTorchdouble momentum, XPtrTorchdouble eps) {
   auto r_out = lantern__native_batch_norm_legit_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_double_double(out.get(), save_mean.get(), save_invstd.get(), input.get(), weight.get(), bias.get(), running_mean.get(), running_var.get(), training.get(), momentum.get(), eps.get());
@@ -8641,8 +9013,8 @@ return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPt
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensor cpp_torch_namespace_batch_norm_backward_elemt_grad_out_Tensor_input_Tensor_mean_Tensor_invstd_Tensor_weight_Tensor_mean_dy_Tensor_mean_dy_xmu_Tensor_count_Tensor (XPtrTorchTensor grad_out, XPtrTorchTensor input, XPtrTorchTensor mean, XPtrTorchTensor invstd, XPtrTorchOptionalTensor weight, XPtrTorchTensor mean_dy, XPtrTorchTensor mean_dy_xmu, XPtrTorchTensor count) {
-  auto r_out = lantern_batch_norm_backward_elemt_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor(grad_out.get(), input.get(), mean.get(), invstd.get(), weight.get(), mean_dy.get(), mean_dy_xmu.get(), count.get());
+XPtrTorchTensor cpp_torch_namespace_batch_norm_backward_elemt_grad_out_Tensor_input_Tensor_mean_Tensor_invstd_Tensor_weight_Tensor_sum_dy_Tensor_sum_dy_xmu_Tensor_count_Tensor (XPtrTorchTensor grad_out, XPtrTorchTensor input, XPtrTorchTensor mean, XPtrTorchTensor invstd, XPtrTorchOptionalTensor weight, XPtrTorchTensor sum_dy, XPtrTorchTensor sum_dy_xmu, XPtrTorchTensor count) {
+  auto r_out = lantern_batch_norm_backward_elemt_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor(grad_out.get(), input.get(), mean.get(), invstd.get(), weight.get(), sum_dy.get(), sum_dy_xmu.get(), count.get());
 return XPtrTorchTensor(r_out);
 }
 
@@ -9536,6 +9908,12 @@ XPtrTorchTensor cpp_torch_namespace_slice_backward_grad_output_Tensor_input_size
 return XPtrTorchTensor(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace_slice_inverse_self_Tensor_src_Tensor (XPtrTorchTensor self, XPtrTorchTensor src, XPtrTorchindex_int64_t dim, XPtrTorchoptional_int64_t start, XPtrTorchoptional_int64_t end, XPtrTorchint64_t step) {
+  auto r_out = lantern_slice_inverse_tensor_tensor_intt_intt_intt_intt(self.get(), src.get(), dim.get(), start.get(), end.get(), step.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_namespace_slice_scatter_self_Tensor_src_Tensor (XPtrTorchTensor self, XPtrTorchTensor src, XPtrTorchindex_int64_t dim, XPtrTorchoptional_int64_t start, XPtrTorchoptional_int64_t end, XPtrTorchint64_t step) {
   auto r_out = lantern_slice_scatter_tensor_tensor_intt_intt_intt_intt(self.get(), src.get(), dim.get(), start.get(), end.get(), step.get());
@@ -9710,6 +10088,18 @@ XPtrTorchTensor cpp_torch_namespace_sspaddmm_out_out_Tensor_self_Tensor_mat1_Ten
 return XPtrTorchTensor(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace__chunk_cat_tensors_TensorList_dim_int64_t_num_chunks_int64_t (XPtrTorchTensorList tensors, XPtrTorchindex_int64_t dim, XPtrTorchint64_t num_chunks) {
+  auto r_out = lantern__chunk_cat_tensorlist_intt_intt(tensors.get(), dim.get(), num_chunks.get());
+return XPtrTorchTensor(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace__chunk_cat_out_out_Tensor_tensors_TensorList_dim_int64_t_num_chunks_int64_t (XPtrTorchTensor out, XPtrTorchTensorList tensors, XPtrTorchindex_int64_t dim, XPtrTorchint64_t num_chunks) {
+  auto r_out = lantern__chunk_cat_out_tensor_tensorlist_intt_intt(out.get(), tensors.get(), dim.get(), num_chunks.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_namespace_stack_tensors_TensorList (XPtrTorchTensorList tensors, XPtrTorchindex_int64_t dim) {
   auto r_out = lantern_stack_tensorlist_intt(tensors.get(), dim.get());
@@ -10165,17 +10555,84 @@ return XPtrTorchTensor(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensor cpp_torch_namespace__nested_view_from_buffer_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_IntArrayRef (XPtrTorchTensor self, XPtrTorchTensor nested_size, XPtrTorchTensor nested_strides, XPtrTorchIntArrayRef offsets) {
-  auto r_out = lantern__nested_view_from_buffer_tensor_tensor_tensor_intarrayref(self.get(), nested_size.get(), nested_strides.get(), offsets.get());
+XPtrTorchTensor cpp_torch_namespace__nested_view_from_buffer_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_Tensor (XPtrTorchTensor self, XPtrTorchTensor nested_size, XPtrTorchTensor nested_strides, XPtrTorchTensor offsets) {
+  auto r_out = lantern__nested_view_from_buffer_tensor_tensor_tensor_tensor(self.get(), nested_size.get(), nested_strides.get(), offsets.get());
+return XPtrTorchTensor(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace__nested_view_from_buffer_copy_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_Tensor (XPtrTorchTensor self, XPtrTorchTensor nested_size, XPtrTorchTensor nested_strides, XPtrTorchTensor offsets) {
+  auto r_out = lantern__nested_view_from_buffer_copy_tensor_tensor_tensor_tensor(self.get(), nested_size.get(), nested_strides.get(), offsets.get());
+return XPtrTorchTensor(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace__nested_view_from_jagged_self_Tensor_offsets_Tensor_dummy_Tensor (XPtrTorchTensor self, XPtrTorchTensor offsets, XPtrTorchTensor dummy, XPtrTorchOptionalTensor lengths, XPtrTorchint64_t ragged_idx, XPtrTorchOptionalTensor min_seqlen, XPtrTorchOptionalTensor max_seqlen) {
+  auto r_out = lantern__nested_view_from_jagged_tensor_tensor_tensor_tensor_intt_tensor_tensor(self.get(), offsets.get(), dummy.get(), lengths.get(), ragged_idx.get(), min_seqlen.get(), max_seqlen.get());
+return XPtrTorchTensor(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace__nested_view_from_jagged_copy_self_Tensor_offsets_Tensor_dummy_Tensor (XPtrTorchTensor self, XPtrTorchTensor offsets, XPtrTorchTensor dummy, XPtrTorchOptionalTensor lengths, XPtrTorchint64_t ragged_idx, XPtrTorchOptionalTensor min_seqlen, XPtrTorchOptionalTensor max_seqlen) {
+  auto r_out = lantern__nested_view_from_jagged_copy_tensor_tensor_tensor_tensor_intt_tensor_tensor(self.get(), offsets.get(), dummy.get(), lengths.get(), ragged_idx.get(), min_seqlen.get(), max_seqlen.get());
+return XPtrTorchTensor(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace__nested_get_values_self_Tensor (XPtrTorchTensor self) {
+  auto r_out = lantern__nested_get_values_tensor(self.get());
+return XPtrTorchTensor(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace__nested_get_values_copy_self_Tensor (XPtrTorchTensor self) {
+  auto r_out = lantern__nested_get_values_copy_tensor(self.get());
+return XPtrTorchTensor(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace__nested_get_offsets_self_Tensor (XPtrTorchTensor self) {
+  auto r_out = lantern__nested_get_offsets_tensor(self.get());
+return XPtrTorchTensor(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace__nested_get_lengths_self_Tensor (XPtrTorchTensor self) {
+  auto r_out = lantern__nested_get_lengths_tensor(self.get());
+return XPtrTorchTensor(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchint64_t cpp_torch_namespace__nested_get_ragged_idx_self_Tensor (XPtrTorchTensor self) {
+  auto r_out = lantern__nested_get_ragged_idx_tensor(self.get());
+return XPtrTorchint64_t(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace__nested_get_min_seqlen_self_Tensor (XPtrTorchTensor self) {
+  auto r_out = lantern__nested_get_min_seqlen_tensor(self.get());
+return XPtrTorchTensor(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace__nested_get_max_seqlen_self_Tensor (XPtrTorchTensor self) {
+  auto r_out = lantern__nested_get_max_seqlen_tensor(self.get());
 return XPtrTorchTensor(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensor cpp_torch_namespace__nested_view_from_buffer_copy_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_IntArrayRef (XPtrTorchTensor self, XPtrTorchTensor nested_size, XPtrTorchTensor nested_strides, XPtrTorchIntArrayRef offsets) {
-  auto r_out = lantern__nested_view_from_buffer_copy_tensor_tensor_tensor_intarrayref(self.get(), nested_size.get(), nested_strides.get(), offsets.get());
+XPtrTorchTensor cpp_torch_namespace__nested_get_jagged_dummy_any_Tensor (XPtrTorchTensor any) {
+  auto r_out = lantern__nested_get_jagged_dummy_tensor(any.get());
 return XPtrTorchTensor(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+Rcpp::List cpp_torch_namespace__nested_compute_contiguous_strides_offsets_nested_size_Tensor (XPtrTorchTensor nested_size) {
+  auto r_out = lantern__nested_compute_contiguous_strides_offsets_tensor(nested_size.get());
+auto wrap = XPtrTorchvector_void(r_out);
+return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 1)));
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_namespace__trilinear_i1_Tensor_i2_Tensor_i3_Tensor_expand1_IntArrayRef_expand2_IntArrayRef_expand3_IntArrayRef_sumdim_IntArrayRef (XPtrTorchTensor i1, XPtrTorchTensor i2, XPtrTorchTensor i3, XPtrTorchIntArrayRef expand1, XPtrTorchIntArrayRef expand2, XPtrTorchIntArrayRef expand3, XPtrTorchIntArrayRef sumdim, XPtrTorchint64_t unroll_dim) {
   auto r_out = lantern__trilinear_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt(i1.get(), i2.get(), i3.get(), expand1.get(), expand2.get(), expand3.get(), sumdim.get(), unroll_dim.get());
@@ -10481,6 +10938,34 @@ XPtrTorchTensor cpp_torch_namespace_native_norm_self_Tensor_p_Scalar_dim_IntArra
 return XPtrTorchTensor(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+Rcpp::List cpp_torch_namespace__batch_norm_with_update_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double (XPtrTorchTensor input, XPtrTorchOptionalTensor weight, XPtrTorchOptionalTensor bias, XPtrTorchTensor running_mean, XPtrTorchTensor running_var, XPtrTorchdouble momentum, XPtrTorchdouble eps) {
+  auto r_out = lantern__batch_norm_with_update_tensor_tensor_tensor_tensor_tensor_double_double(input.get(), weight.get(), bias.get(), running_mean.get(), running_var.get(), momentum.get(), eps.get());
+auto wrap = XPtrTorchvector_void(r_out);
+return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 1)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 2)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 3)));
+}
+
+// [[Rcpp::export(rng=false)]]
+Rcpp::List cpp_torch_namespace__batch_norm_with_update_out_out_Tensor_save_mean_Tensor_save_invstd_Tensor_reserve_Tensor_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double (XPtrTorchTensor out, XPtrTorchTensor save_mean, XPtrTorchTensor save_invstd, XPtrTorchTensor reserve, XPtrTorchTensor input, XPtrTorchOptionalTensor weight, XPtrTorchOptionalTensor bias, XPtrTorchTensor running_mean, XPtrTorchTensor running_var, XPtrTorchdouble momentum, XPtrTorchdouble eps) {
+  auto r_out = lantern__batch_norm_with_update_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_double(out.get(), save_mean.get(), save_invstd.get(), reserve.get(), input.get(), weight.get(), bias.get(), running_mean.get(), running_var.get(), momentum.get(), eps.get());
+auto wrap = XPtrTorchvector_void(r_out);
+return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 1)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 2)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 3)));
+}
+
+// [[Rcpp::export(rng=false)]]
+Rcpp::List cpp_torch_namespace__batch_norm_no_update_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double (XPtrTorchTensor input, XPtrTorchOptionalTensor weight, XPtrTorchOptionalTensor bias, XPtrTorchOptionalTensor running_mean, XPtrTorchOptionalTensor running_var, XPtrTorchdouble momentum, XPtrTorchdouble eps) {
+  auto r_out = lantern__batch_norm_no_update_tensor_tensor_tensor_tensor_tensor_double_double(input.get(), weight.get(), bias.get(), running_mean.get(), running_var.get(), momentum.get(), eps.get());
+auto wrap = XPtrTorchvector_void(r_out);
+return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 1)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 2)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 3)));
+}
+
+// [[Rcpp::export(rng=false)]]
+Rcpp::List cpp_torch_namespace_batch_norm_backward_grad_out_Tensor_input_Tensor_weight_Tensor_running_mean_Tensor_running_var_Tensor_save_mean_Tensor_save_var_Tensor_update_bool_eps_double_output_mask_stdarraybool3_reserve_Tensor (XPtrTorchTensor grad_out, XPtrTorchTensor input, XPtrTorchTensor weight, XPtrTorchOptionalTensor running_mean, XPtrTorchOptionalTensor running_var, XPtrTorchOptionalTensor save_mean, XPtrTorchOptionalTensor save_var, XPtrTorchbool update, XPtrTorchdouble eps, std::vector<bool> output_mask, XPtrTorchTensor reserve) {
+  auto r_out = lantern_batch_norm_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_double_stdarraybool_tensor(grad_out.get(), input.get(), weight.get(), running_mean.get(), running_var.get(), save_mean.get(), save_var.get(), update.get(), eps.get(), reinterpret_cast<void*>(&output_mask), reserve.get());
+auto wrap = XPtrTorchvector_void(r_out);
+return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 1)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 2)));
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_namespace__sparse_sum_self_Tensor (XPtrTorchTensor self) {
   auto r_out = lantern__sparse_sum_tensor(self.get());
@@ -10833,6 +11318,24 @@ XPtrTorchTensor cpp_torch_namespace__addmm_activation_self_Tensor_mat1_Tensor_ma
 return XPtrTorchTensor(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace__scaled_mm_self_Tensor_mat2_Tensor_scale_a_Tensor_scale_b_Tensor (XPtrTorchTensor self, XPtrTorchTensor mat2, XPtrTorchTensor scale_a, XPtrTorchTensor scale_b, XPtrTorchOptionalTensor bias, XPtrTorchOptionalTensor scale_result, XPtrTorchoptional_scalar_type out_dtype, XPtrTorchbool use_fast_accum) {
+  auto r_out = lantern__scaled_mm_tensor_tensor_tensor_tensor_tensor_tensor_scalartype_bool(self.get(), mat2.get(), scale_a.get(), scale_b.get(), bias.get(), scale_result.get(), out_dtype.get(), use_fast_accum.get());
+return XPtrTorchTensor(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace__scaled_mm_out_out_Tensor_self_Tensor_mat2_Tensor_scale_a_Tensor_scale_b_Tensor (XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchTensor mat2, XPtrTorchTensor scale_a, XPtrTorchTensor scale_b, XPtrTorchOptionalTensor bias, XPtrTorchOptionalTensor scale_result, XPtrTorchoptional_scalar_type out_dtype, XPtrTorchbool use_fast_accum) {
+  auto r_out = lantern__scaled_mm_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_scalartype_bool(out.get(), self.get(), mat2.get(), scale_a.get(), scale_b.get(), bias.get(), scale_result.get(), out_dtype.get(), use_fast_accum.get());
+return XPtrTorchTensor(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace__sparse_compressed_tensor_with_dims_nnz_int64_t_dense_dim_int64_t_size_IntArrayRef_blocksize_IntArrayRef_index_dtype_ScalarType_options_TensorOptions (XPtrTorchint64_t nnz, XPtrTorchint64_t dense_dim, XPtrTorchIntArrayRef size, XPtrTorchIntArrayRef blocksize, XPtrTorchDtype index_dtype, XPtrTorchTensorOptions options) {
+  auto r_out = lantern__sparse_compressed_tensor_with_dims_intt_intt_intarrayref_intarrayref_scalartype_tensoroptions(nnz.get(), dense_dim.get(), size.get(), blocksize.get(), index_dtype.get(), options.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_namespace_sparse_compressed_tensor_compressed_indices_Tensor_plain_indices_Tensor_values_Tensor_size_IntArrayRef_options_TensorOptions (XPtrTorchTensor compressed_indices, XPtrTorchTensor plain_indices, XPtrTorchTensor values, XPtrTorchIntArrayRef size, XPtrTorchTensorOptions options) {
   auto r_out = lantern_sparse_compressed_tensor_tensor_tensor_tensor_intarrayref_tensoroptions(compressed_indices.get(), plain_indices.get(), values.get(), size.get(), options.get());
@@ -10930,26 +11433,26 @@ return XPtrTorchTensor(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensor cpp_torch_namespace_sparse_coo_tensor_indices_Tensor_values_Tensor_options_TensorOptions (XPtrTorchIndexTensor indices, XPtrTorchTensor values, XPtrTorchTensorOptions options) {
-  auto r_out = lantern_sparse_coo_tensor_tensor_tensor_tensoroptions(indices.get(), values.get(), options.get());
+XPtrTorchTensor cpp_torch_namespace_sparse_coo_tensor_indices_Tensor_values_Tensor_options_TensorOptions (XPtrTorchIndexTensor indices, XPtrTorchTensor values, XPtrTorchTensorOptions options, XPtrTorchoptional_bool is_coalesced) {
+  auto r_out = lantern_sparse_coo_tensor_tensor_tensor_tensoroptions_bool(indices.get(), values.get(), options.get(), is_coalesced.get());
 return XPtrTorchTensor(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensor cpp_torch_namespace_sparse_coo_tensor_indices_Tensor_values_Tensor_size_IntArrayRef_options_TensorOptions (XPtrTorchIndexTensor indices, XPtrTorchTensor values, XPtrTorchIntArrayRef size, XPtrTorchTensorOptions options) {
-  auto r_out = lantern_sparse_coo_tensor_tensor_tensor_intarrayref_tensoroptions(indices.get(), values.get(), size.get(), options.get());
+XPtrTorchTensor cpp_torch_namespace_sparse_coo_tensor_indices_Tensor_values_Tensor_size_IntArrayRef_options_TensorOptions (XPtrTorchIndexTensor indices, XPtrTorchTensor values, XPtrTorchIntArrayRef size, XPtrTorchTensorOptions options, XPtrTorchoptional_bool is_coalesced) {
+  auto r_out = lantern_sparse_coo_tensor_tensor_tensor_intarrayref_tensoroptions_bool(indices.get(), values.get(), size.get(), options.get(), is_coalesced.get());
 return XPtrTorchTensor(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensor cpp_torch_namespace__sparse_coo_tensor_unsafe_indices_Tensor_values_Tensor_size_IntArrayRef (XPtrTorchIndexTensor indices, XPtrTorchTensor values, XPtrTorchIntArrayRef size, XPtrTorchTensorOptions options) {
-  auto r_out = lantern__sparse_coo_tensor_unsafe_tensor_tensor_intarrayref_tensoroptions(indices.get(), values.get(), size.get(), options.get());
+XPtrTorchTensor cpp_torch_namespace__sparse_coo_tensor_unsafe_indices_Tensor_values_Tensor_size_IntArrayRef (XPtrTorchIndexTensor indices, XPtrTorchTensor values, XPtrTorchIntArrayRef size, XPtrTorchTensorOptions options, XPtrTorchoptional_bool is_coalesced) {
+  auto r_out = lantern__sparse_coo_tensor_unsafe_tensor_tensor_intarrayref_tensoroptions_bool(indices.get(), values.get(), size.get(), options.get(), is_coalesced.get());
 return XPtrTorchTensor(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__validate_sparse_coo_tensor_args_indices_Tensor_values_Tensor_size_IntArrayRef (XPtrTorchIndexTensor indices, XPtrTorchTensor values, XPtrTorchIntArrayRef size) {
-  lantern__validate_sparse_coo_tensor_args_tensor_tensor_intarrayref(indices.get(), values.get(), size.get());
+void cpp_torch_namespace__validate_sparse_coo_tensor_args_indices_Tensor_values_Tensor_size_IntArrayRef (XPtrTorchIndexTensor indices, XPtrTorchTensor values, XPtrTorchIntArrayRef size, XPtrTorchoptional_bool is_coalesced) {
+  lantern__validate_sparse_coo_tensor_args_tensor_tensor_intarrayref_bool(indices.get(), values.get(), size.get(), is_coalesced.get());
 }
 
 // [[Rcpp::export(rng=false)]]
@@ -10984,8 +11487,8 @@ return XPtrTorchTensor(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensor cpp_torch_namespace__sparse_coo_tensor_with_dims_and_tensors_sparse_dim_int64_t_dense_dim_int64_t_size_IntArrayRef_indices_Tensor_values_Tensor_options_TensorOptions (XPtrTorchint64_t sparse_dim, XPtrTorchint64_t dense_dim, XPtrTorchIntArrayRef size, XPtrTorchIndexTensor indices, XPtrTorchTensor values, XPtrTorchTensorOptions options) {
-  auto r_out = lantern__sparse_coo_tensor_with_dims_and_tensors_intt_intt_intarrayref_tensor_tensor_tensoroptions(sparse_dim.get(), dense_dim.get(), size.get(), indices.get(), values.get(), options.get());
+XPtrTorchTensor cpp_torch_namespace__sparse_coo_tensor_with_dims_and_tensors_sparse_dim_int64_t_dense_dim_int64_t_size_IntArrayRef_indices_Tensor_values_Tensor_options_TensorOptions (XPtrTorchint64_t sparse_dim, XPtrTorchint64_t dense_dim, XPtrTorchIntArrayRef size, XPtrTorchIndexTensor indices, XPtrTorchTensor values, XPtrTorchTensorOptions options, XPtrTorchoptional_bool is_coalesced) {
+  auto r_out = lantern__sparse_coo_tensor_with_dims_and_tensors_intt_intt_intarrayref_tensor_tensor_tensoroptions_bool(sparse_dim.get(), dense_dim.get(), size.get(), indices.get(), values.get(), options.get(), is_coalesced.get());
 return XPtrTorchTensor(r_out);
 }
 
@@ -10996,8 +11499,8 @@ return XPtrTorchTensorList(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensor cpp_torch_namespace_to_dense_backward_grad_Tensor_input_Tensor (XPtrTorchTensor grad, XPtrTorchTensor input) {
-  auto r_out = lantern_to_dense_backward_tensor_tensor(grad.get(), input.get());
+XPtrTorchTensor cpp_torch_namespace_to_dense_backward_grad_Tensor_input_Tensor (XPtrTorchTensor grad, XPtrTorchTensor input, XPtrTorchoptional_bool masked_grad) {
+  auto r_out = lantern_to_dense_backward_tensor_tensor_bool(grad.get(), input.get(), masked_grad.get());
 return XPtrTorchTensor(r_out);
 }
 
@@ -11037,6 +11540,13 @@ XPtrTorchTensorList cpp_torch_namespace_unbind_self_Tensor_dim_Dimname (XPtrTorc
 return XPtrTorchTensorList(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+Rcpp::List cpp_torch_namespace__to_sparse_semi_structured_dense_Tensor (XPtrTorchTensor dense) {
+  auto r_out = lantern__to_sparse_semi_structured_tensor(dense.get());
+auto wrap = XPtrTorchvector_void(r_out);
+return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 1)));
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_namespace_mkldnn_reorder_conv2d_weight_self_Tensor (XPtrTorchTensor self, XPtrTorchIntArrayRef padding, XPtrTorchIntArrayRef stride, XPtrTorchIntArrayRef dilation, XPtrTorchint64_t groups, XPtrTorchOptionalIntArrayRef input_size) {
   auto r_out = lantern_mkldnn_reorder_conv2d_weight_tensor_intarrayref_intarrayref_intarrayref_intt_intarrayref(self.get(), padding.get(), stride.get(), dilation.get(), groups.get(), input_size.get());
@@ -11044,8 +11554,8 @@ return XPtrTorchTensor(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensor cpp_torch_namespace_mkldnn_reorder_conv3d_weight_self_Tensor (XPtrTorchTensor self, XPtrTorchIntArrayRef padding, XPtrTorchIntArrayRef stride, XPtrTorchIntArrayRef dilation, XPtrTorchint64_t groups) {
-  auto r_out = lantern_mkldnn_reorder_conv3d_weight_tensor_intarrayref_intarrayref_intarrayref_intt(self.get(), padding.get(), stride.get(), dilation.get(), groups.get());
+XPtrTorchTensor cpp_torch_namespace_mkldnn_reorder_conv3d_weight_self_Tensor (XPtrTorchTensor self, XPtrTorchIntArrayRef padding, XPtrTorchIntArrayRef stride, XPtrTorchIntArrayRef dilation, XPtrTorchint64_t groups, XPtrTorchOptionalIntArrayRef input_size) {
+  auto r_out = lantern_mkldnn_reorder_conv3d_weight_tensor_intarrayref_intarrayref_intarrayref_intt_intarrayref(self.get(), padding.get(), stride.get(), dilation.get(), groups.get(), input_size.get());
 return XPtrTorchTensor(r_out);
 }
 
@@ -11310,8 +11820,8 @@ return XPtrTorchScalarType(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchbool cpp_torch_namespace_can_cast_from_ScalarType_to_ScalarType (XPtrTorchDtype from, XPtrTorchDtype to) {
-  auto r_out = lantern_can_cast_scalartype_scalartype(from.get(), to.get());
+XPtrTorchbool cpp_torch_namespace_can_cast_from__ScalarType_to_ScalarType (XPtrTorchDtype from_, XPtrTorchDtype to) {
+  auto r_out = lantern_can_cast_scalartype_scalartype(from_.get(), to.get());
 return XPtrTorchbool(r_out);
 }
 
@@ -11335,7 +11845,7 @@ return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPt
 }
 
 // [[Rcpp::export(rng=false)]]
-Rcpp::List cpp_torch_namespace_lstm_mps_backward_grad_y_Tensor_grad_hy_Tensor_grad_cy_Tensor_z_state_Tensor_cell_state_fwd_Tensor_input_Tensor_layersOutputs_Tensor_hx_TensorList_params_TensorList_has_biases_bool_num_layers_int64_t_dropout_double_train_bool_bidirectional_bool_batch_first_bool (XPtrTorchTensor grad_y, XPtrTorchOptionalTensor grad_hy, XPtrTorchOptionalTensor grad_cy, XPtrTorchTensor z_state, XPtrTorchTensor cell_state_fwd, XPtrTorchTensor input, XPtrTorchTensor layersOutputs, XPtrTorchTensorList hx, XPtrTorchTensorList params, XPtrTorchbool has_biases, XPtrTorchint64_t num_layers, XPtrTorchdouble dropout, XPtrTorchbool train, XPtrTorchbool bidirectional, XPtrTorchbool batch_first) {
+Rcpp::List cpp_torch_namespace_lstm_mps_backward_grad_y_Tensor_grad_hy_Tensor_grad_cy_Tensor_z_state_Tensor_cell_state_fwd_Tensor_input_Tensor_layersOutputs_Tensor_hx_TensorList_params_TensorList_has_biases_bool_num_layers_int64_t_dropout_double_train_bool_bidirectional_bool_batch_first_bool (XPtrTorchOptionalTensor grad_y, XPtrTorchOptionalTensor grad_hy, XPtrTorchOptionalTensor grad_cy, XPtrTorchTensor z_state, XPtrTorchTensor cell_state_fwd, XPtrTorchTensor input, XPtrTorchTensor layersOutputs, XPtrTorchTensorList hx, XPtrTorchTensorList params, XPtrTorchbool has_biases, XPtrTorchint64_t num_layers, XPtrTorchdouble dropout, XPtrTorchbool train, XPtrTorchbool bidirectional, XPtrTorchbool batch_first) {
   auto r_out = lantern_lstm_mps_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensorlist_tensorlist_bool_intt_double_bool_bool_bool(grad_y.get(), grad_hy.get(), grad_cy.get(), z_state.get(), cell_state_fwd.get(), input.get(), layersOutputs.get(), hx.get(), params.get(), has_biases.get(), num_layers.get(), dropout.get(), train.get(), bidirectional.get(), batch_first.get());
 auto wrap = XPtrTorchvector_void(r_out);
 return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensorList(lantern_vector_get(wrap.get(), 1)),XPtrTorchTensorList(lantern_vector_get(wrap.get(), 2)));
@@ -11552,6 +12062,12 @@ XPtrTorchTensor cpp_torch_namespace_masked_scatter_self_Tensor_mask_Tensor_sourc
 return XPtrTorchTensor(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace_masked_scatter_backward_grad_output_Tensor_mask_Tensor_sizes_IntArrayRef (XPtrTorchTensor grad_output, XPtrTorchTensor mask, XPtrTorchIntArrayRef sizes) {
+  auto r_out = lantern_masked_scatter_backward_tensor_tensor_intarrayref(grad_output.get(), mask.get(), sizes.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_namespace__masked_softmax_self_Tensor_mask_Tensor (XPtrTorchTensor self, XPtrTorchTensor mask, XPtrTorchoptional_index_int64_t dim, XPtrTorchoptional_int64_t mask_type) {
   auto r_out = lantern__masked_softmax_tensor_tensor_intt_intt(self.get(), mask.get(), dim.get(), mask_type.get());
@@ -12356,6 +12872,18 @@ XPtrTorchTensor cpp_torch_namespace_nonzero_self_Tensor (XPtrTorchTensor self) {
 return XPtrTorchTensor(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace_nonzero_static_out_out_Tensor_self_Tensor_size_int64_t (XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchint64_t size, XPtrTorchint64_t fill_value) {
+  auto r_out = lantern_nonzero_static_out_tensor_tensor_intt_intt(out.get(), self.get(), size.get(), fill_value.get());
+return XPtrTorchTensor(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace_nonzero_static_self_Tensor_size_int64_t (XPtrTorchTensor self, XPtrTorchint64_t size, XPtrTorchint64_t fill_value) {
+  auto r_out = lantern_nonzero_static_tensor_intt_intt(self.get(), size.get(), fill_value.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensorList cpp_torch_namespace_nonzero_numpy_self_Tensor (XPtrTorchTensor self) {
   auto r_out = lantern_nonzero_numpy_tensor(self.get());
@@ -12961,6 +13489,12 @@ XPtrTorchTensor cpp_torch_namespace_min_self_Tensor (XPtrTorchTensor self) {
 return XPtrTorchTensor(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace_min_out_out_Tensor_self_Tensor (XPtrTorchTensor out, XPtrTorchTensor self) {
+  auto r_out = lantern_min_out_tensor_tensor(out.get(), self.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_namespace_fmin_self_Tensor_other_Tensor (XPtrTorchTensor self, XPtrTorchTensor other) {
   auto r_out = lantern_fmin_tensor_tensor(self.get(), other.get());
@@ -13173,6 +13707,12 @@ XPtrTorchTensor cpp_torch_namespace_argsort_self_Tensor_stable_bool_dim_int64_t
 return XPtrTorchTensor(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace_argsort_out_out_Tensor_self_Tensor_stable_bool (XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchbool stable, XPtrTorchindex_int64_t dim, XPtrTorchbool descending) {
+  auto r_out = lantern_argsort_out_tensor_tensor_bool_intt_bool(out.get(), self.get(), stable.get(), dim.get(), descending.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_namespace_argsort_self_Tensor_dim_Dimname (XPtrTorchTensor self, XPtrTorchDimname dim, XPtrTorchbool descending) {
   auto r_out = lantern_argsort_tensor_dimname_bool(self.get(), dim.get(), descending.get());
@@ -13372,113 +13912,124 @@ void cpp_torch_namespace__foreach_add__self_TensorList_scalar_Scalar (XPtrTorchT
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensorList cpp_torch_namespace__foreach_sub_self_TensorList_scalar_Scalar (XPtrTorchTensorList self, XPtrTorchScalar scalar) {
-  auto r_out = lantern__foreach_sub_tensorlist_scalar(self.get(), scalar.get());
+XPtrTorchTensorList cpp_torch_namespace__foreach_add_self_TensorList_other_TensorList (XPtrTorchTensorList self, XPtrTorchTensorList other, XPtrTorchScalar alpha) {
+  auto r_out = lantern__foreach_add_tensorlist_tensorlist_scalar(self.get(), other.get(), alpha.get());
 return XPtrTorchTensorList(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_sub__self_TensorList_scalar_Scalar (XPtrTorchTensorList self, XPtrTorchScalar scalar) {
-  lantern__foreach_sub__tensorlist_scalar(self.get(), scalar.get());
+void cpp_torch_namespace__foreach_add__self_TensorList_other_TensorList (XPtrTorchTensorList self, XPtrTorchTensorList other, XPtrTorchScalar alpha) {
+  lantern__foreach_add__tensorlist_tensorlist_scalar(self.get(), other.get(), alpha.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensorList cpp_torch_namespace__foreach_mul_self_TensorList_scalar_Scalar (XPtrTorchTensorList self, XPtrTorchScalar scalar) {
-  auto r_out = lantern__foreach_mul_tensorlist_scalar(self.get(), scalar.get());
+XPtrTorchTensorList cpp_torch_namespace__foreach_add_self_TensorList_scalars_ArrayRefScalar (XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars) {
+  auto r_out = lantern__foreach_add_tensorlist_arrayrefscalar(self.get(), scalars.get());
 return XPtrTorchTensorList(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_mul__self_TensorList_scalar_Scalar (XPtrTorchTensorList self, XPtrTorchScalar scalar) {
-  lantern__foreach_mul__tensorlist_scalar(self.get(), scalar.get());
+void cpp_torch_namespace__foreach_add__self_TensorList_scalars_ArrayRefScalar (XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars) {
+  lantern__foreach_add__tensorlist_arrayrefscalar(self.get(), scalars.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensorList cpp_torch_namespace__foreach_div_self_TensorList_scalar_Scalar (XPtrTorchTensorList self, XPtrTorchScalar scalar) {
-  auto r_out = lantern__foreach_div_tensorlist_scalar(self.get(), scalar.get());
+XPtrTorchTensorList cpp_torch_namespace__foreach_add_self_TensorList_other_Tensor (XPtrTorchTensorList self, XPtrTorchTensor other, XPtrTorchScalar alpha) {
+  auto r_out = lantern__foreach_add_tensorlist_tensor_scalar(self.get(), other.get(), alpha.get());
 return XPtrTorchTensorList(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_div__self_TensorList_scalar_Scalar (XPtrTorchTensorList self, XPtrTorchScalar scalar) {
-  lantern__foreach_div__tensorlist_scalar(self.get(), scalar.get());
+void cpp_torch_namespace__foreach_add__self_TensorList_other_Tensor (XPtrTorchTensorList self, XPtrTorchTensor other, XPtrTorchScalar alpha) {
+  lantern__foreach_add__tensorlist_tensor_scalar(self.get(), other.get(), alpha.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensorList cpp_torch_namespace__foreach_clamp_min_self_TensorList_scalar_Scalar (XPtrTorchTensorList self, XPtrTorchScalar scalar) {
-  auto r_out = lantern__foreach_clamp_min_tensorlist_scalar(self.get(), scalar.get());
+XPtrTorchTensorList cpp_torch_namespace__foreach_sub_self_TensorList_scalar_Scalar (XPtrTorchTensorList self, XPtrTorchScalar scalar) {
+  auto r_out = lantern__foreach_sub_tensorlist_scalar(self.get(), scalar.get());
 return XPtrTorchTensorList(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_clamp_min__self_TensorList_scalar_Scalar (XPtrTorchTensorList self, XPtrTorchScalar scalar) {
-  lantern__foreach_clamp_min__tensorlist_scalar(self.get(), scalar.get());
+void cpp_torch_namespace__foreach_sub__self_TensorList_scalar_Scalar (XPtrTorchTensorList self, XPtrTorchScalar scalar) {
+  lantern__foreach_sub__tensorlist_scalar(self.get(), scalar.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensorList cpp_torch_namespace__foreach_clamp_max_self_TensorList_scalar_Scalar (XPtrTorchTensorList self, XPtrTorchScalar scalar) {
-  auto r_out = lantern__foreach_clamp_max_tensorlist_scalar(self.get(), scalar.get());
+XPtrTorchTensorList cpp_torch_namespace__foreach_sub_self_TensorList_other_TensorList (XPtrTorchTensorList self, XPtrTorchTensorList other, XPtrTorchScalar alpha) {
+  auto r_out = lantern__foreach_sub_tensorlist_tensorlist_scalar(self.get(), other.get(), alpha.get());
 return XPtrTorchTensorList(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_clamp_max__self_TensorList_scalar_Scalar (XPtrTorchTensorList self, XPtrTorchScalar scalar) {
-  lantern__foreach_clamp_max__tensorlist_scalar(self.get(), scalar.get());
+void cpp_torch_namespace__foreach_sub__self_TensorList_other_TensorList (XPtrTorchTensorList self, XPtrTorchTensorList other, XPtrTorchScalar alpha) {
+  lantern__foreach_sub__tensorlist_tensorlist_scalar(self.get(), other.get(), alpha.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensorList cpp_torch_namespace__foreach_maximum_self_TensorList_scalar_Scalar (XPtrTorchTensorList self, XPtrTorchScalar scalar) {
-  auto r_out = lantern__foreach_maximum_tensorlist_scalar(self.get(), scalar.get());
+XPtrTorchTensorList cpp_torch_namespace__foreach_sub_self_TensorList_scalars_ArrayRefScalar (XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars) {
+  auto r_out = lantern__foreach_sub_tensorlist_arrayrefscalar(self.get(), scalars.get());
 return XPtrTorchTensorList(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_maximum__self_TensorList_scalar_Scalar (XPtrTorchTensorList self, XPtrTorchScalar scalar) {
-  lantern__foreach_maximum__tensorlist_scalar(self.get(), scalar.get());
+void cpp_torch_namespace__foreach_sub__self_TensorList_scalars_ArrayRefScalar (XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars) {
+  lantern__foreach_sub__tensorlist_arrayrefscalar(self.get(), scalars.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensorList cpp_torch_namespace__foreach_minimum_self_TensorList_scalar_Scalar (XPtrTorchTensorList self, XPtrTorchScalar scalar) {
-  auto r_out = lantern__foreach_minimum_tensorlist_scalar(self.get(), scalar.get());
+XPtrTorchTensorList cpp_torch_namespace__foreach_mul_self_TensorList_scalar_Scalar (XPtrTorchTensorList self, XPtrTorchScalar scalar) {
+  auto r_out = lantern__foreach_mul_tensorlist_scalar(self.get(), scalar.get());
 return XPtrTorchTensorList(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_minimum__self_TensorList_scalar_Scalar (XPtrTorchTensorList self, XPtrTorchScalar scalar) {
-  lantern__foreach_minimum__tensorlist_scalar(self.get(), scalar.get());
+void cpp_torch_namespace__foreach_mul__self_TensorList_scalar_Scalar (XPtrTorchTensorList self, XPtrTorchScalar scalar) {
+  lantern__foreach_mul__tensorlist_scalar(self.get(), scalar.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensorList cpp_torch_namespace__foreach_add_self_TensorList_other_TensorList (XPtrTorchTensorList self, XPtrTorchTensorList other, XPtrTorchScalar alpha) {
-  auto r_out = lantern__foreach_add_tensorlist_tensorlist_scalar(self.get(), other.get(), alpha.get());
+XPtrTorchTensorList cpp_torch_namespace__foreach_mul_self_TensorList_other_TensorList (XPtrTorchTensorList self, XPtrTorchTensorList other) {
+  auto r_out = lantern__foreach_mul_tensorlist_tensorlist(self.get(), other.get());
 return XPtrTorchTensorList(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_add__self_TensorList_other_TensorList (XPtrTorchTensorList self, XPtrTorchTensorList other, XPtrTorchScalar alpha) {
-  lantern__foreach_add__tensorlist_tensorlist_scalar(self.get(), other.get(), alpha.get());
+void cpp_torch_namespace__foreach_mul__self_TensorList_other_TensorList (XPtrTorchTensorList self, XPtrTorchTensorList other) {
+  lantern__foreach_mul__tensorlist_tensorlist(self.get(), other.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensorList cpp_torch_namespace__foreach_sub_self_TensorList_other_TensorList (XPtrTorchTensorList self, XPtrTorchTensorList other, XPtrTorchScalar alpha) {
-  auto r_out = lantern__foreach_sub_tensorlist_tensorlist_scalar(self.get(), other.get(), alpha.get());
+XPtrTorchTensorList cpp_torch_namespace__foreach_mul_self_TensorList_scalars_ArrayRefScalar (XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars) {
+  auto r_out = lantern__foreach_mul_tensorlist_arrayrefscalar(self.get(), scalars.get());
 return XPtrTorchTensorList(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_sub__self_TensorList_other_TensorList (XPtrTorchTensorList self, XPtrTorchTensorList other, XPtrTorchScalar alpha) {
-  lantern__foreach_sub__tensorlist_tensorlist_scalar(self.get(), other.get(), alpha.get());
+void cpp_torch_namespace__foreach_mul__self_TensorList_scalars_ArrayRefScalar (XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars) {
+  lantern__foreach_mul__tensorlist_arrayrefscalar(self.get(), scalars.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensorList cpp_torch_namespace__foreach_mul_self_TensorList_other_TensorList (XPtrTorchTensorList self, XPtrTorchTensorList other) {
-  auto r_out = lantern__foreach_mul_tensorlist_tensorlist(self.get(), other.get());
+XPtrTorchTensorList cpp_torch_namespace__foreach_mul_self_TensorList_other_Tensor (XPtrTorchTensorList self, XPtrTorchTensor other) {
+  auto r_out = lantern__foreach_mul_tensorlist_tensor(self.get(), other.get());
 return XPtrTorchTensorList(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_mul__self_TensorList_other_TensorList (XPtrTorchTensorList self, XPtrTorchTensorList other) {
-  lantern__foreach_mul__tensorlist_tensorlist(self.get(), other.get());
+void cpp_torch_namespace__foreach_mul__self_TensorList_other_Tensor (XPtrTorchTensorList self, XPtrTorchTensor other) {
+  lantern__foreach_mul__tensorlist_tensor(self.get(), other.get());
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensorList cpp_torch_namespace__foreach_div_self_TensorList_scalar_Scalar (XPtrTorchTensorList self, XPtrTorchScalar scalar) {
+  auto r_out = lantern__foreach_div_tensorlist_scalar(self.get(), scalar.get());
+return XPtrTorchTensorList(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+void cpp_torch_namespace__foreach_div__self_TensorList_scalar_Scalar (XPtrTorchTensorList self, XPtrTorchScalar scalar) {
+  lantern__foreach_div__tensorlist_scalar(self.get(), scalar.get());
 }
 
 // [[Rcpp::export(rng=false)]]
@@ -13493,113 +14044,113 @@ void cpp_torch_namespace__foreach_div__self_TensorList_other_TensorList (XPtrTor
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensorList cpp_torch_namespace__foreach_clamp_min_self_TensorList_other_TensorList (XPtrTorchTensorList self, XPtrTorchTensorList other) {
-  auto r_out = lantern__foreach_clamp_min_tensorlist_tensorlist(self.get(), other.get());
+XPtrTorchTensorList cpp_torch_namespace__foreach_div_self_TensorList_scalars_ArrayRefScalar (XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars) {
+  auto r_out = lantern__foreach_div_tensorlist_arrayrefscalar(self.get(), scalars.get());
 return XPtrTorchTensorList(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_clamp_min__self_TensorList_other_TensorList (XPtrTorchTensorList self, XPtrTorchTensorList other) {
-  lantern__foreach_clamp_min__tensorlist_tensorlist(self.get(), other.get());
+void cpp_torch_namespace__foreach_div__self_TensorList_scalars_ArrayRefScalar (XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars) {
+  lantern__foreach_div__tensorlist_arrayrefscalar(self.get(), scalars.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensorList cpp_torch_namespace__foreach_clamp_max_self_TensorList_other_TensorList (XPtrTorchTensorList self, XPtrTorchTensorList other) {
-  auto r_out = lantern__foreach_clamp_max_tensorlist_tensorlist(self.get(), other.get());
+XPtrTorchTensorList cpp_torch_namespace__foreach_div_self_TensorList_other_Tensor (XPtrTorchTensorList self, XPtrTorchTensor other) {
+  auto r_out = lantern__foreach_div_tensorlist_tensor(self.get(), other.get());
 return XPtrTorchTensorList(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_clamp_max__self_TensorList_other_TensorList (XPtrTorchTensorList self, XPtrTorchTensorList other) {
-  lantern__foreach_clamp_max__tensorlist_tensorlist(self.get(), other.get());
+void cpp_torch_namespace__foreach_div__self_TensorList_other_Tensor (XPtrTorchTensorList self, XPtrTorchTensor other) {
+  lantern__foreach_div__tensorlist_tensor(self.get(), other.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensorList cpp_torch_namespace__foreach_maximum_self_TensorList_other_TensorList (XPtrTorchTensorList self, XPtrTorchTensorList other) {
-  auto r_out = lantern__foreach_maximum_tensorlist_tensorlist(self.get(), other.get());
+XPtrTorchTensorList cpp_torch_namespace__foreach_clamp_max_self_TensorList_scalar_Scalar (XPtrTorchTensorList self, XPtrTorchScalar scalar) {
+  auto r_out = lantern__foreach_clamp_max_tensorlist_scalar(self.get(), scalar.get());
 return XPtrTorchTensorList(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_maximum__self_TensorList_other_TensorList (XPtrTorchTensorList self, XPtrTorchTensorList other) {
-  lantern__foreach_maximum__tensorlist_tensorlist(self.get(), other.get());
+void cpp_torch_namespace__foreach_clamp_max__self_TensorList_scalar_Scalar (XPtrTorchTensorList self, XPtrTorchScalar scalar) {
+  lantern__foreach_clamp_max__tensorlist_scalar(self.get(), scalar.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensorList cpp_torch_namespace__foreach_minimum_self_TensorList_other_TensorList (XPtrTorchTensorList self, XPtrTorchTensorList other) {
-  auto r_out = lantern__foreach_minimum_tensorlist_tensorlist(self.get(), other.get());
+XPtrTorchTensorList cpp_torch_namespace__foreach_clamp_max_self_TensorList_other_TensorList (XPtrTorchTensorList self, XPtrTorchTensorList other) {
+  auto r_out = lantern__foreach_clamp_max_tensorlist_tensorlist(self.get(), other.get());
 return XPtrTorchTensorList(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_minimum__self_TensorList_other_TensorList (XPtrTorchTensorList self, XPtrTorchTensorList other) {
-  lantern__foreach_minimum__tensorlist_tensorlist(self.get(), other.get());
+void cpp_torch_namespace__foreach_clamp_max__self_TensorList_other_TensorList (XPtrTorchTensorList self, XPtrTorchTensorList other) {
+  lantern__foreach_clamp_max__tensorlist_tensorlist(self.get(), other.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensorList cpp_torch_namespace__foreach_add_self_TensorList_scalars_ArrayRefScalar (XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars) {
-  auto r_out = lantern__foreach_add_tensorlist_arrayrefscalar(self.get(), scalars.get());
+XPtrTorchTensorList cpp_torch_namespace__foreach_clamp_max_self_TensorList_scalars_ArrayRefScalar (XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars) {
+  auto r_out = lantern__foreach_clamp_max_tensorlist_arrayrefscalar(self.get(), scalars.get());
 return XPtrTorchTensorList(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_add__self_TensorList_scalars_ArrayRefScalar (XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars) {
-  lantern__foreach_add__tensorlist_arrayrefscalar(self.get(), scalars.get());
+void cpp_torch_namespace__foreach_clamp_max__self_TensorList_scalars_ArrayRefScalar (XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars) {
+  lantern__foreach_clamp_max__tensorlist_arrayrefscalar(self.get(), scalars.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensorList cpp_torch_namespace__foreach_sub_self_TensorList_scalars_ArrayRefScalar (XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars) {
-  auto r_out = lantern__foreach_sub_tensorlist_arrayrefscalar(self.get(), scalars.get());
+XPtrTorchTensorList cpp_torch_namespace__foreach_clamp_min_self_TensorList_scalar_Scalar (XPtrTorchTensorList self, XPtrTorchScalar scalar) {
+  auto r_out = lantern__foreach_clamp_min_tensorlist_scalar(self.get(), scalar.get());
 return XPtrTorchTensorList(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_sub__self_TensorList_scalars_ArrayRefScalar (XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars) {
-  lantern__foreach_sub__tensorlist_arrayrefscalar(self.get(), scalars.get());
+void cpp_torch_namespace__foreach_clamp_min__self_TensorList_scalar_Scalar (XPtrTorchTensorList self, XPtrTorchScalar scalar) {
+  lantern__foreach_clamp_min__tensorlist_scalar(self.get(), scalar.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensorList cpp_torch_namespace__foreach_div_self_TensorList_scalars_ArrayRefScalar (XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars) {
-  auto r_out = lantern__foreach_div_tensorlist_arrayrefscalar(self.get(), scalars.get());
+XPtrTorchTensorList cpp_torch_namespace__foreach_clamp_min_self_TensorList_other_TensorList (XPtrTorchTensorList self, XPtrTorchTensorList other) {
+  auto r_out = lantern__foreach_clamp_min_tensorlist_tensorlist(self.get(), other.get());
 return XPtrTorchTensorList(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_div__self_TensorList_scalars_ArrayRefScalar (XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars) {
-  lantern__foreach_div__tensorlist_arrayrefscalar(self.get(), scalars.get());
+void cpp_torch_namespace__foreach_clamp_min__self_TensorList_other_TensorList (XPtrTorchTensorList self, XPtrTorchTensorList other) {
+  lantern__foreach_clamp_min__tensorlist_tensorlist(self.get(), other.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensorList cpp_torch_namespace__foreach_mul_self_TensorList_scalars_ArrayRefScalar (XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars) {
-  auto r_out = lantern__foreach_mul_tensorlist_arrayrefscalar(self.get(), scalars.get());
+XPtrTorchTensorList cpp_torch_namespace__foreach_clamp_min_self_TensorList_scalars_ArrayRefScalar (XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars) {
+  auto r_out = lantern__foreach_clamp_min_tensorlist_arrayrefscalar(self.get(), scalars.get());
 return XPtrTorchTensorList(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_mul__self_TensorList_scalars_ArrayRefScalar (XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars) {
-  lantern__foreach_mul__tensorlist_arrayrefscalar(self.get(), scalars.get());
+void cpp_torch_namespace__foreach_clamp_min__self_TensorList_scalars_ArrayRefScalar (XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars) {
+  lantern__foreach_clamp_min__tensorlist_arrayrefscalar(self.get(), scalars.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensorList cpp_torch_namespace__foreach_clamp_min_self_TensorList_scalars_ArrayRefScalar (XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars) {
-  auto r_out = lantern__foreach_clamp_min_tensorlist_arrayrefscalar(self.get(), scalars.get());
+XPtrTorchTensorList cpp_torch_namespace__foreach_maximum_self_TensorList_scalar_Scalar (XPtrTorchTensorList self, XPtrTorchScalar scalar) {
+  auto r_out = lantern__foreach_maximum_tensorlist_scalar(self.get(), scalar.get());
 return XPtrTorchTensorList(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_clamp_min__self_TensorList_scalars_ArrayRefScalar (XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars) {
-  lantern__foreach_clamp_min__tensorlist_arrayrefscalar(self.get(), scalars.get());
+void cpp_torch_namespace__foreach_maximum__self_TensorList_scalar_Scalar (XPtrTorchTensorList self, XPtrTorchScalar scalar) {
+  lantern__foreach_maximum__tensorlist_scalar(self.get(), scalar.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensorList cpp_torch_namespace__foreach_clamp_max_self_TensorList_scalars_ArrayRefScalar (XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars) {
-  auto r_out = lantern__foreach_clamp_max_tensorlist_arrayrefscalar(self.get(), scalars.get());
+XPtrTorchTensorList cpp_torch_namespace__foreach_maximum_self_TensorList_other_TensorList (XPtrTorchTensorList self, XPtrTorchTensorList other) {
+  auto r_out = lantern__foreach_maximum_tensorlist_tensorlist(self.get(), other.get());
 return XPtrTorchTensorList(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_clamp_max__self_TensorList_scalars_ArrayRefScalar (XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars) {
-  lantern__foreach_clamp_max__tensorlist_arrayrefscalar(self.get(), scalars.get());
+void cpp_torch_namespace__foreach_maximum__self_TensorList_other_TensorList (XPtrTorchTensorList self, XPtrTorchTensorList other) {
+  lantern__foreach_maximum__tensorlist_tensorlist(self.get(), other.get());
 }
 
 // [[Rcpp::export(rng=false)]]
@@ -13613,6 +14164,28 @@ void cpp_torch_namespace__foreach_maximum__self_TensorList_scalars_ArrayRefScala
   lantern__foreach_maximum__tensorlist_arrayrefscalar(self.get(), scalars.get());
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensorList cpp_torch_namespace__foreach_minimum_self_TensorList_scalar_Scalar (XPtrTorchTensorList self, XPtrTorchScalar scalar) {
+  auto r_out = lantern__foreach_minimum_tensorlist_scalar(self.get(), scalar.get());
+return XPtrTorchTensorList(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+void cpp_torch_namespace__foreach_minimum__self_TensorList_scalar_Scalar (XPtrTorchTensorList self, XPtrTorchScalar scalar) {
+  lantern__foreach_minimum__tensorlist_scalar(self.get(), scalar.get());
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensorList cpp_torch_namespace__foreach_minimum_self_TensorList_other_TensorList (XPtrTorchTensorList self, XPtrTorchTensorList other) {
+  auto r_out = lantern__foreach_minimum_tensorlist_tensorlist(self.get(), other.get());
+return XPtrTorchTensorList(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+void cpp_torch_namespace__foreach_minimum__self_TensorList_other_TensorList (XPtrTorchTensorList self, XPtrTorchTensorList other) {
+  lantern__foreach_minimum__tensorlist_tensorlist(self.get(), other.get());
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensorList cpp_torch_namespace__foreach_minimum_self_TensorList_scalars_ArrayRefScalar (XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars) {
   auto r_out = lantern__foreach_minimum_tensorlist_arrayrefscalar(self.get(), scalars.get());
@@ -13625,30 +14198,69 @@ void cpp_torch_namespace__foreach_minimum__self_TensorList_scalars_ArrayRefScala
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensorList cpp_torch_namespace__foreach_exp_self_TensorList (XPtrTorchTensorList self) {
-  auto r_out = lantern__foreach_exp_tensorlist(self.get());
+XPtrTorchTensorList cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList (XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchScalar value) {
+  auto r_out = lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_scalar(self.get(), tensor1.get(), tensor2.get(), value.get());
 return XPtrTorchTensorList(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_zero__self_TensorList (XPtrTorchTensorList self) {
-  lantern__foreach_zero__tensorlist(self.get());
+XPtrTorchTensorList cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar (XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchvector_Scalar scalars) {
+  auto r_out = lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_arrayrefscalar(self.get(), tensor1.get(), tensor2.get(), scalars.get());
+return XPtrTorchTensorList(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_exp__self_TensorList (XPtrTorchTensorList self) {
-  lantern__foreach_exp__tensorlist(self.get());
+XPtrTorchTensorList cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor (XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchTensor scalars) {
+  auto r_out = lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_tensor(self.get(), tensor1.get(), tensor2.get(), scalars.get());
+return XPtrTorchTensorList(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensorList cpp_torch_namespace__foreach_sqrt_self_TensorList (XPtrTorchTensorList self) {
-  auto r_out = lantern__foreach_sqrt_tensorlist(self.get());
+void cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList (XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchScalar value) {
+  lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_scalar(self.get(), tensor1.get(), tensor2.get(), value.get());
+}
+
+// [[Rcpp::export(rng=false)]]
+void cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar (XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchvector_Scalar scalars) {
+  lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_arrayrefscalar(self.get(), tensor1.get(), tensor2.get(), scalars.get());
+}
+
+// [[Rcpp::export(rng=false)]]
+void cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor (XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchTensor scalars) {
+  lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_tensor(self.get(), tensor1.get(), tensor2.get(), scalars.get());
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensorList cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList (XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchScalar value) {
+  auto r_out = lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_scalar(self.get(), tensor1.get(), tensor2.get(), value.get());
 return XPtrTorchTensorList(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_sqrt__self_TensorList (XPtrTorchTensorList self) {
-  lantern__foreach_sqrt__tensorlist(self.get());
+XPtrTorchTensorList cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar (XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchvector_Scalar scalars) {
+  auto r_out = lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_arrayrefscalar(self.get(), tensor1.get(), tensor2.get(), scalars.get());
+return XPtrTorchTensorList(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensorList cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor (XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchTensor scalars) {
+  auto r_out = lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_tensor(self.get(), tensor1.get(), tensor2.get(), scalars.get());
+return XPtrTorchTensorList(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+void cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList (XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchScalar value) {
+  lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_scalar(self.get(), tensor1.get(), tensor2.get(), value.get());
+}
+
+// [[Rcpp::export(rng=false)]]
+void cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar (XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchvector_Scalar scalars) {
+  lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_arrayrefscalar(self.get(), tensor1.get(), tensor2.get(), scalars.get());
+}
+
+// [[Rcpp::export(rng=false)]]
+void cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor (XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchTensor scalars) {
+  lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_tensor(self.get(), tensor1.get(), tensor2.get(), scalars.get());
 }
 
 // [[Rcpp::export(rng=false)]]
@@ -13750,6 +14362,17 @@ void cpp_torch_namespace__foreach_erfc__self_TensorList (XPtrTorchTensorList sel
   lantern__foreach_erfc__tensorlist(self.get());
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensorList cpp_torch_namespace__foreach_exp_self_TensorList (XPtrTorchTensorList self) {
+  auto r_out = lantern__foreach_exp_tensorlist(self.get());
+return XPtrTorchTensorList(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+void cpp_torch_namespace__foreach_exp__self_TensorList (XPtrTorchTensorList self) {
+  lantern__foreach_exp__tensorlist(self.get());
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensorList cpp_torch_namespace__foreach_expm1_self_TensorList (XPtrTorchTensorList self) {
   auto r_out = lantern__foreach_expm1_tensorlist(self.get());
@@ -13772,6 +14395,50 @@ void cpp_torch_namespace__foreach_floor__self_TensorList (XPtrTorchTensorList se
   lantern__foreach_floor__tensorlist(self.get());
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensorList cpp_torch_namespace__foreach_frac_self_TensorList (XPtrTorchTensorList self) {
+  auto r_out = lantern__foreach_frac_tensorlist(self.get());
+return XPtrTorchTensorList(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+void cpp_torch_namespace__foreach_frac__self_TensorList (XPtrTorchTensorList self) {
+  lantern__foreach_frac__tensorlist(self.get());
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensorList cpp_torch_namespace__foreach_lerp_self_TensorList_tensors1_TensorList_weights_TensorList (XPtrTorchTensorList self, XPtrTorchTensorList tensors1, XPtrTorchTensorList weights) {
+  auto r_out = lantern__foreach_lerp_tensorlist_tensorlist_tensorlist(self.get(), tensors1.get(), weights.get());
+return XPtrTorchTensorList(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+void cpp_torch_namespace__foreach_lerp__self_TensorList_tensors1_TensorList_weights_TensorList (XPtrTorchTensorList self, XPtrTorchTensorList tensors1, XPtrTorchTensorList weights) {
+  lantern__foreach_lerp__tensorlist_tensorlist_tensorlist(self.get(), tensors1.get(), weights.get());
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensorList cpp_torch_namespace__foreach_lerp_self_TensorList_tensors1_TensorList_weight_Scalar (XPtrTorchTensorList self, XPtrTorchTensorList tensors1, XPtrTorchScalar weight) {
+  auto r_out = lantern__foreach_lerp_tensorlist_tensorlist_scalar(self.get(), tensors1.get(), weight.get());
+return XPtrTorchTensorList(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+void cpp_torch_namespace__foreach_lerp__self_TensorList_tensors1_TensorList_weight_Scalar (XPtrTorchTensorList self, XPtrTorchTensorList tensors1, XPtrTorchScalar weight) {
+  lantern__foreach_lerp__tensorlist_tensorlist_scalar(self.get(), tensors1.get(), weight.get());
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensorList cpp_torch_namespace__foreach_lgamma_self_TensorList (XPtrTorchTensorList self) {
+  auto r_out = lantern__foreach_lgamma_tensorlist(self.get());
+return XPtrTorchTensorList(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+void cpp_torch_namespace__foreach_lgamma__self_TensorList (XPtrTorchTensorList self) {
+  lantern__foreach_lgamma__tensorlist(self.get());
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensorList cpp_torch_namespace__foreach_log_self_TensorList (XPtrTorchTensorList self) {
   auto r_out = lantern__foreach_log_tensorlist(self.get());
@@ -13816,6 +14483,12 @@ void cpp_torch_namespace__foreach_log2__self_TensorList (XPtrTorchTensorList sel
   lantern__foreach_log2__tensorlist(self.get());
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensorList cpp_torch_namespace__foreach_max_self_TensorList (XPtrTorchTensorList self) {
+  auto r_out = lantern__foreach_max_tensorlist(self.get());
+return XPtrTorchTensorList(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensorList cpp_torch_namespace__foreach_neg_self_TensorList (XPtrTorchTensorList self) {
   auto r_out = lantern__foreach_neg_tensorlist(self.get());
@@ -13828,91 +14501,70 @@ void cpp_torch_namespace__foreach_neg__self_TensorList (XPtrTorchTensorList self
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensorList cpp_torch_namespace__foreach_tan_self_TensorList (XPtrTorchTensorList self) {
-  auto r_out = lantern__foreach_tan_tensorlist(self.get());
+XPtrTorchTensorList cpp_torch_namespace__foreach_norm_self_TensorList (XPtrTorchTensorList self, XPtrTorchScalar ord, XPtrTorchoptional_scalar_type dtype) {
+  auto r_out = lantern__foreach_norm_tensorlist_scalar_scalartype(self.get(), ord.get(), dtype.get());
 return XPtrTorchTensorList(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_tan__self_TensorList (XPtrTorchTensorList self) {
-  lantern__foreach_tan__tensorlist(self.get());
-}
-
-// [[Rcpp::export(rng=false)]]
-XPtrTorchTensorList cpp_torch_namespace__foreach_tanh_self_TensorList (XPtrTorchTensorList self) {
-  auto r_out = lantern__foreach_tanh_tensorlist(self.get());
+XPtrTorchTensorList cpp_torch_namespace__foreach_pow_self_TensorList_exponent_TensorList (XPtrTorchTensorList self, XPtrTorchTensorList exponent) {
+  auto r_out = lantern__foreach_pow_tensorlist_tensorlist(self.get(), exponent.get());
 return XPtrTorchTensorList(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_tanh__self_TensorList (XPtrTorchTensorList self) {
-  lantern__foreach_tanh__tensorlist(self.get());
-}
-
-// [[Rcpp::export(rng=false)]]
-XPtrTorchTensorList cpp_torch_namespace__foreach_sin_self_TensorList (XPtrTorchTensorList self) {
-  auto r_out = lantern__foreach_sin_tensorlist(self.get());
+XPtrTorchTensorList cpp_torch_namespace__foreach_pow_self_TensorList_exponent_Scalar (XPtrTorchTensorList self, XPtrTorchScalar exponent) {
+  auto r_out = lantern__foreach_pow_tensorlist_scalar(self.get(), exponent.get());
 return XPtrTorchTensorList(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_sin__self_TensorList (XPtrTorchTensorList self) {
-  lantern__foreach_sin__tensorlist(self.get());
-}
-
-// [[Rcpp::export(rng=false)]]
-XPtrTorchTensorList cpp_torch_namespace__foreach_sinh_self_TensorList (XPtrTorchTensorList self) {
-  auto r_out = lantern__foreach_sinh_tensorlist(self.get());
+XPtrTorchTensorList cpp_torch_namespace__foreach_pow_self_TensorList_exponent_ArrayRefScalar (XPtrTorchTensorList self, XPtrTorchvector_Scalar exponent) {
+  auto r_out = lantern__foreach_pow_tensorlist_arrayrefscalar(self.get(), exponent.get());
 return XPtrTorchTensorList(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_sinh__self_TensorList (XPtrTorchTensorList self) {
-  lantern__foreach_sinh__tensorlist(self.get());
-}
-
-// [[Rcpp::export(rng=false)]]
-XPtrTorchTensorList cpp_torch_namespace__foreach_round_self_TensorList (XPtrTorchTensorList self) {
-  auto r_out = lantern__foreach_round_tensorlist(self.get());
+XPtrTorchTensorList cpp_torch_namespace__foreach_pow_self_Scalar_exponent_TensorList (XPtrTorchScalar self, XPtrTorchTensorList exponent) {
+  auto r_out = lantern__foreach_pow_scalar_tensorlist(self.get(), exponent.get());
 return XPtrTorchTensorList(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_round__self_TensorList (XPtrTorchTensorList self) {
-  lantern__foreach_round__tensorlist(self.get());
+void cpp_torch_namespace__foreach_pow__self_TensorList_exponent_TensorList (XPtrTorchTensorList self, XPtrTorchTensorList exponent) {
+  lantern__foreach_pow__tensorlist_tensorlist(self.get(), exponent.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensorList cpp_torch_namespace__foreach_lgamma_self_TensorList (XPtrTorchTensorList self) {
-  auto r_out = lantern__foreach_lgamma_tensorlist(self.get());
-return XPtrTorchTensorList(r_out);
+void cpp_torch_namespace__foreach_pow__self_TensorList_exponent_Scalar (XPtrTorchTensorList self, XPtrTorchScalar exponent) {
+  lantern__foreach_pow__tensorlist_scalar(self.get(), exponent.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_lgamma__self_TensorList (XPtrTorchTensorList self) {
-  lantern__foreach_lgamma__tensorlist(self.get());
+void cpp_torch_namespace__foreach_pow__self_TensorList_exponent_ArrayRefScalar (XPtrTorchTensorList self, XPtrTorchvector_Scalar exponent) {
+  lantern__foreach_pow__tensorlist_arrayrefscalar(self.get(), exponent.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensorList cpp_torch_namespace__foreach_frac_self_TensorList (XPtrTorchTensorList self) {
-  auto r_out = lantern__foreach_frac_tensorlist(self.get());
+XPtrTorchTensorList cpp_torch_namespace__foreach_reciprocal_self_TensorList (XPtrTorchTensorList self) {
+  auto r_out = lantern__foreach_reciprocal_tensorlist(self.get());
 return XPtrTorchTensorList(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_frac__self_TensorList (XPtrTorchTensorList self) {
-  lantern__foreach_frac__tensorlist(self.get());
+void cpp_torch_namespace__foreach_reciprocal__self_TensorList (XPtrTorchTensorList self) {
+  lantern__foreach_reciprocal__tensorlist(self.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensorList cpp_torch_namespace__foreach_reciprocal_self_TensorList (XPtrTorchTensorList self) {
-  auto r_out = lantern__foreach_reciprocal_tensorlist(self.get());
+XPtrTorchTensorList cpp_torch_namespace__foreach_round_self_TensorList (XPtrTorchTensorList self) {
+  auto r_out = lantern__foreach_round_tensorlist(self.get());
 return XPtrTorchTensorList(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_reciprocal__self_TensorList (XPtrTorchTensorList self) {
-  lantern__foreach_reciprocal__tensorlist(self.get());
+void cpp_torch_namespace__foreach_round__self_TensorList (XPtrTorchTensorList self) {
+  lantern__foreach_round__tensorlist(self.get());
 }
 
 // [[Rcpp::export(rng=false)]]
@@ -13927,108 +14579,96 @@ void cpp_torch_namespace__foreach_sigmoid__self_TensorList (XPtrTorchTensorList
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensorList cpp_torch_namespace__foreach_trunc_self_TensorList (XPtrTorchTensorList self) {
-  auto r_out = lantern__foreach_trunc_tensorlist(self.get());
+XPtrTorchTensorList cpp_torch_namespace__foreach_sign_self_TensorList (XPtrTorchTensorList self) {
+  auto r_out = lantern__foreach_sign_tensorlist(self.get());
 return XPtrTorchTensorList(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_trunc__self_TensorList (XPtrTorchTensorList self) {
-  lantern__foreach_trunc__tensorlist(self.get());
-}
-
-// [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList (XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchScalar value) {
-  lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_scalar(self.get(), tensor1.get(), tensor2.get(), value.get());
-}
-
-// [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList (XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchScalar value) {
-  lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_scalar(self.get(), tensor1.get(), tensor2.get(), value.get());
+void cpp_torch_namespace__foreach_sign__self_TensorList (XPtrTorchTensorList self) {
+  lantern__foreach_sign__tensorlist(self.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar (XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchvector_Scalar scalars) {
-  lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_arrayrefscalar(self.get(), tensor1.get(), tensor2.get(), scalars.get());
+XPtrTorchTensorList cpp_torch_namespace__foreach_sin_self_TensorList (XPtrTorchTensorList self) {
+  auto r_out = lantern__foreach_sin_tensorlist(self.get());
+return XPtrTorchTensorList(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_addcdiv__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor (XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchTensor scalars) {
-  lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_tensor(self.get(), tensor1.get(), tensor2.get(), scalars.get());
+void cpp_torch_namespace__foreach_sin__self_TensorList (XPtrTorchTensorList self) {
+  lantern__foreach_sin__tensorlist(self.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar (XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchvector_Scalar scalars) {
-  lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_arrayrefscalar(self.get(), tensor1.get(), tensor2.get(), scalars.get());
+XPtrTorchTensorList cpp_torch_namespace__foreach_sinh_self_TensorList (XPtrTorchTensorList self) {
+  auto r_out = lantern__foreach_sinh_tensorlist(self.get());
+return XPtrTorchTensorList(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_addcmul__self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor (XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchTensor scalars) {
-  lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_tensor(self.get(), tensor1.get(), tensor2.get(), scalars.get());
+void cpp_torch_namespace__foreach_sinh__self_TensorList (XPtrTorchTensorList self) {
+  lantern__foreach_sinh__tensorlist(self.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensorList cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList (XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchScalar value) {
-  auto r_out = lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_scalar(self.get(), tensor1.get(), tensor2.get(), value.get());
+XPtrTorchTensorList cpp_torch_namespace__foreach_sqrt_self_TensorList (XPtrTorchTensorList self) {
+  auto r_out = lantern__foreach_sqrt_tensorlist(self.get());
 return XPtrTorchTensorList(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensorList cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList (XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchScalar value) {
-  auto r_out = lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_scalar(self.get(), tensor1.get(), tensor2.get(), value.get());
-return XPtrTorchTensorList(r_out);
+void cpp_torch_namespace__foreach_sqrt__self_TensorList (XPtrTorchTensorList self) {
+  lantern__foreach_sqrt__tensorlist(self.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensorList cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar (XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchvector_Scalar scalars) {
-  auto r_out = lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_arrayrefscalar(self.get(), tensor1.get(), tensor2.get(), scalars.get());
+XPtrTorchTensorList cpp_torch_namespace__foreach_tan_self_TensorList (XPtrTorchTensorList self) {
+  auto r_out = lantern__foreach_tan_tensorlist(self.get());
 return XPtrTorchTensorList(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensorList cpp_torch_namespace__foreach_addcdiv_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor (XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchTensor scalars) {
-  auto r_out = lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_tensor(self.get(), tensor1.get(), tensor2.get(), scalars.get());
-return XPtrTorchTensorList(r_out);
+void cpp_torch_namespace__foreach_tan__self_TensorList (XPtrTorchTensorList self) {
+  lantern__foreach_tan__tensorlist(self.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensorList cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar (XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchvector_Scalar scalars) {
-  auto r_out = lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_arrayrefscalar(self.get(), tensor1.get(), tensor2.get(), scalars.get());
+XPtrTorchTensorList cpp_torch_namespace__foreach_tanh_self_TensorList (XPtrTorchTensorList self) {
+  auto r_out = lantern__foreach_tanh_tensorlist(self.get());
 return XPtrTorchTensorList(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensorList cpp_torch_namespace__foreach_addcmul_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor (XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchTensor scalars) {
-  auto r_out = lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_tensor(self.get(), tensor1.get(), tensor2.get(), scalars.get());
-return XPtrTorchTensorList(r_out);
+void cpp_torch_namespace__foreach_tanh__self_TensorList (XPtrTorchTensorList self) {
+  lantern__foreach_tanh__tensorlist(self.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensorList cpp_torch_namespace__foreach_norm_self_TensorList (XPtrTorchTensorList self, XPtrTorchScalar ord) {
-  auto r_out = lantern__foreach_norm_tensorlist_scalar(self.get(), ord.get());
+XPtrTorchTensorList cpp_torch_namespace__foreach_trunc_self_TensorList (XPtrTorchTensorList self) {
+  auto r_out = lantern__foreach_trunc_tensorlist(self.get());
 return XPtrTorchTensorList(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensorList cpp_torch_namespace__foreach_lerp_self_TensorList_tensors1_TensorList_weights_TensorList (XPtrTorchTensorList self, XPtrTorchTensorList tensors1, XPtrTorchTensorList weights) {
-  auto r_out = lantern__foreach_lerp_tensorlist_tensorlist_tensorlist(self.get(), tensors1.get(), weights.get());
-return XPtrTorchTensorList(r_out);
+void cpp_torch_namespace__foreach_trunc__self_TensorList (XPtrTorchTensorList self) {
+  lantern__foreach_trunc__tensorlist(self.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_lerp__self_TensorList_tensors1_TensorList_weights_TensorList (XPtrTorchTensorList self, XPtrTorchTensorList tensors1, XPtrTorchTensorList weights) {
-  lantern__foreach_lerp__tensorlist_tensorlist_tensorlist(self.get(), tensors1.get(), weights.get());
+void cpp_torch_namespace__foreach_zero__self_TensorList (XPtrTorchTensorList self) {
+  lantern__foreach_zero__tensorlist(self.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensorList cpp_torch_namespace__foreach_lerp_self_TensorList_tensors1_TensorList_weight_Scalar (XPtrTorchTensorList self, XPtrTorchTensorList tensors1, XPtrTorchScalar weight) {
-  auto r_out = lantern__foreach_lerp_tensorlist_tensorlist_scalar(self.get(), tensors1.get(), weight.get());
-return XPtrTorchTensorList(r_out);
+void cpp_torch_namespace__foreach_copy__self_TensorList_src_TensorList (XPtrTorchTensorList self, XPtrTorchTensorList src, XPtrTorchbool non_blocking) {
+  lantern__foreach_copy__tensorlist_tensorlist_bool(self.get(), src.get(), non_blocking.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_lerp__self_TensorList_tensors1_TensorList_weight_Scalar (XPtrTorchTensorList self, XPtrTorchTensorList tensors1, XPtrTorchScalar weight) {
-  lantern__foreach_lerp__tensorlist_tensorlist_scalar(self.get(), tensors1.get(), weight.get());
+XPtrTorchTensorList cpp_torch_namespace__foreach_copy_self_TensorList_src_TensorList (XPtrTorchTensorList self, XPtrTorchTensorList src, XPtrTorchbool non_blocking) {
+  auto r_out = lantern__foreach_copy_tensorlist_tensorlist_bool(self.get(), src.get(), non_blocking.get());
+return XPtrTorchTensorList(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
@@ -14067,6 +14707,12 @@ XPtrTorchTensor cpp_torch_namespace_searchsorted_sorted_sequence_Tensor_self_Sca
 return XPtrTorchTensor(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace_searchsorted_out_out_Tensor_sorted_sequence_Tensor_self_Scalar (XPtrTorchTensor out, XPtrTorchTensor sorted_sequence, XPtrTorchScalar self, XPtrTorchbool out_int32, XPtrTorchbool right, XPtrTorchoptional_string_view side, XPtrTorchOptionalTensor sorter) {
+  auto r_out = lantern_searchsorted_out_tensor_tensor_scalar_bool_bool_cstringview_tensor(out.get(), sorted_sequence.get(), self.get(), out_int32.get(), right.get(), side.get(), sorter.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_namespace__convert_indices_from_coo_to_csr_self_Tensor_size_int64_t (XPtrTorchTensor self, XPtrTorchint64_t size, XPtrTorchbool out_int32) {
   auto r_out = lantern__convert_indices_from_coo_to_csr_tensor_intt_bool(self.get(), size.get(), out_int32.get());
@@ -16645,6 +17291,12 @@ auto wrap = XPtrTorchvector_void(r_out);
 return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 1)));
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace__linalg_eigvals_self_Tensor (XPtrTorchTensor self) {
+  auto r_out = lantern__linalg_eigvals_tensor(self.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_namespace_linalg_eigvals_self_Tensor (XPtrTorchTensor self) {
   auto r_out = lantern_linalg_eigvals_tensor(self.get());
@@ -16989,6 +17641,12 @@ XPtrTorchTensor cpp_torch_namespace_linalg_solve_A_Tensor_B_Tensor (XPtrTorchTen
 return XPtrTorchTensor(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace__spsolve_A_Tensor_B_Tensor (XPtrTorchTensor A, XPtrTorchTensor B, XPtrTorchbool left) {
+  auto r_out = lantern__spsolve_tensor_tensor_bool(A.get(), B.get(), left.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_namespace_linalg_solve_out_out_Tensor_A_Tensor_B_Tensor (XPtrTorchTensor out, XPtrTorchTensor A, XPtrTorchTensor B, XPtrTorchbool left) {
   auto r_out = lantern_linalg_solve_out_tensor_tensor_tensor_bool(out.get(), A.get(), B.get(), left.get());
@@ -17117,6 +17775,12 @@ XPtrTorchTensor cpp_torch_namespace__test_serialization_subcmul_self_Tensor_othe
 return XPtrTorchTensor(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace__test_parallel_materialize_self_Tensor_num_parallel_int64_t (XPtrTorchTensor self, XPtrTorchint64_t num_parallel, XPtrTorchbool skip_first) {
+  auto r_out = lantern__test_parallel_materialize_tensor_intt_bool(self.get(), num_parallel.get(), skip_first.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_namespace__test_optional_intlist_values_Tensor_addends_IntArrayRef (XPtrTorchTensor values, XPtrTorchOptionalIntArrayRef addends) {
   auto r_out = lantern__test_optional_intlist_tensor_intarrayref(values.get(), addends.get());
@@ -17178,8 +17842,8 @@ return XPtrTorchTensor(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensor cpp_torch_namespace_pad_sequence_sequences_TensorList (XPtrTorchTensorList sequences, XPtrTorchbool batch_first, XPtrTorchdouble padding_value) {
-  auto r_out = lantern_pad_sequence_tensorlist_bool_double(sequences.get(), batch_first.get(), padding_value.get());
+XPtrTorchTensor cpp_torch_namespace_pad_sequence_sequences_TensorList (XPtrTorchTensorList sequences, XPtrTorchbool batch_first, XPtrTorchdouble padding_value, XPtrTorchstring_view padding_side) {
+  auto r_out = lantern_pad_sequence_tensorlist_bool_double_cstringview(sequences.get(), batch_first.get(), padding_value.get(), padding_side.get());
 return XPtrTorchTensor(r_out);
 }
 
@@ -17432,12 +18096,30 @@ XPtrTorchTensor cpp_torch_namespace_alias_copy_self_Tensor (XPtrTorchTensor self
 return XPtrTorchTensor(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace__jagged_to_padded_dense_forward_values_Tensor_offsets_TensorList_max_lengths_IntArrayRef (XPtrTorchTensor values, XPtrTorchTensorList offsets, XPtrTorchIntArrayRef max_lengths, XPtrTorchdouble padding_value) {
+  auto r_out = lantern__jagged_to_padded_dense_forward_tensor_tensorlist_intarrayref_double(values.get(), offsets.get(), max_lengths.get(), padding_value.get());
+return XPtrTorchTensor(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace__padded_dense_to_jagged_forward_dense_Tensor_offsets_TensorList (XPtrTorchTensor dense, XPtrTorchTensorList offsets, XPtrTorchoptional_int64_t total_L) {
+  auto r_out = lantern__padded_dense_to_jagged_forward_tensor_tensorlist_intt(dense.get(), offsets.get(), total_L.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_namespace__nested_tensor_softmax_with_shape_self_Tensor_query_Tensor (XPtrTorchTensor self, XPtrTorchTensor query) {
   auto r_out = lantern__nested_tensor_softmax_with_shape_tensor_tensor(self.get(), query.get());
 return XPtrTorchTensor(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace__safe_softmax_self_Tensor_dim_int64_t (XPtrTorchTensor self, XPtrTorchindex_int64_t dim, XPtrTorchoptional_scalar_type dtype) {
+  auto r_out = lantern__safe_softmax_tensor_intt_scalartype(self.get(), dim.get(), dtype.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_namespace__transformer_encoder_layer_fwd_src_Tensor_embed_dim_int64_t_num_heads_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor_use_gelu_bool_norm_first_bool_eps_double_norm_weight_1_Tensor_norm_bias_1_Tensor_norm_weight_2_Tensor_norm_bias_2_Tensor_ffn_weight_1_Tensor_ffn_bias_1_Tensor_ffn_weight_2_Tensor_ffn_bias_2_Tensor (XPtrTorchTensor src, XPtrTorchint64_t embed_dim, XPtrTorchint64_t num_heads, XPtrTorchTensor qkv_weight, XPtrTorchTensor qkv_bias, XPtrTorchTensor proj_weight, XPtrTorchTensor proj_bias, XPtrTorchbool use_gelu, XPtrTorchbool norm_first, XPtrTorchdouble eps, XPtrTorchTensor norm_weight_1, XPtrTorchTensor norm_bias_1, XPtrTorchTensor norm_weight_2, XPtrTorchTensor norm_bias_2, XPtrTorchTensor ffn_weight_1, XPtrTorchTensor ffn_bias_1, XPtrTorchTensor ffn_weight_2, XPtrTorchTensor ffn_bias_2, XPtrTorchOptionalTensor mask, XPtrTorchoptional_int64_t mask_type) {
   auto r_out = lantern__transformer_encoder_layer_fwd_tensor_intt_intt_tensor_tensor_tensor_tensor_bool_bool_double_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt(src.get(), embed_dim.get(), num_heads.get(), qkv_weight.get(), qkv_bias.get(), proj_weight.get(), proj_bias.get(), use_gelu.get(), norm_first.get(), eps.get(), norm_weight_1.get(), norm_bias_1.get(), norm_weight_2.get(), norm_bias_2.get(), ffn_weight_1.get(), ffn_bias_1.get(), ffn_weight_2.get(), ffn_bias_2.get(), mask.get(), mask_type.get());
@@ -17452,99 +18134,141 @@ return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPt
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensor cpp_torch_namespace_scaled_dot_product_attention_query_Tensor_key_Tensor_value_Tensor (XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchOptionalTensor attn_mask, XPtrTorchdouble dropout_p, XPtrTorchbool is_causal) {
-  auto r_out = lantern_scaled_dot_product_attention_tensor_tensor_tensor_tensor_double_bool(query.get(), key.get(), value.get(), attn_mask.get(), dropout_p.get(), is_causal.get());
+XPtrTorchTensor cpp_torch_namespace_scaled_dot_product_attention_query_Tensor_key_Tensor_value_Tensor (XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchOptionalTensor attn_mask, XPtrTorchdouble dropout_p, XPtrTorchbool is_causal, XPtrTorchOptionaldouble scale, XPtrTorchbool enable_gqa) {
+  auto r_out = lantern_scaled_dot_product_attention_tensor_tensor_tensor_tensor_double_bool_double_bool(query.get(), key.get(), value.get(), attn_mask.get(), dropout_p.get(), is_causal.get(), scale.get(), enable_gqa.get());
 return XPtrTorchTensor(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-Rcpp::List cpp_torch_namespace__scaled_dot_product_attention_query_Tensor_key_Tensor_value_Tensor (XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchOptionalTensor attn_mask, XPtrTorchdouble dropout_p, XPtrTorchbool need_attn_weights, XPtrTorchbool is_causal) {
-  auto r_out = lantern__scaled_dot_product_attention_tensor_tensor_tensor_tensor_double_bool_bool(query.get(), key.get(), value.get(), attn_mask.get(), dropout_p.get(), need_attn_weights.get(), is_causal.get());
+XPtrTorchint64_t cpp_torch_namespace__fused_sdp_choice_query_Tensor_key_Tensor_value_Tensor (XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchOptionalTensor attn_mask, XPtrTorchdouble dropout_p, XPtrTorchbool is_causal, XPtrTorchOptionaldouble scale, XPtrTorchbool enable_gqa) {
+  auto r_out = lantern__fused_sdp_choice_tensor_tensor_tensor_tensor_double_bool_double_bool(query.get(), key.get(), value.get(), attn_mask.get(), dropout_p.get(), is_causal.get(), scale.get(), enable_gqa.get());
+return XPtrTorchint64_t(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+Rcpp::List cpp_torch_namespace__scaled_dot_product_attention_math_query_Tensor_key_Tensor_value_Tensor (XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchOptionalTensor attn_mask, XPtrTorchdouble dropout_p, XPtrTorchbool is_causal, XPtrTorchOptionalTensor dropout_mask, XPtrTorchOptionaldouble scale, XPtrTorchbool enable_gqa) {
+  auto r_out = lantern__scaled_dot_product_attention_math_tensor_tensor_tensor_tensor_double_bool_tensor_double_bool(query.get(), key.get(), value.get(), attn_mask.get(), dropout_p.get(), is_causal.get(), dropout_mask.get(), scale.get(), enable_gqa.get());
 auto wrap = XPtrTorchvector_void(r_out);
 return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 1)));
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchint64_t cpp_torch_namespace__fused_sdp_choice_query_Tensor_key_Tensor_value_Tensor (XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchOptionalTensor attn_mask, XPtrTorchdouble dropout_p, XPtrTorchbool is_causal) {
-  auto r_out = lantern__fused_sdp_choice_tensor_tensor_tensor_tensor_double_bool(query.get(), key.get(), value.get(), attn_mask.get(), dropout_p.get(), is_causal.get());
-return XPtrTorchint64_t(r_out);
+Rcpp::List cpp_torch_namespace__scaled_dot_product_attention_math_for_mps_query_Tensor_key_Tensor_value_Tensor (XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchOptionalTensor attn_mask, XPtrTorchdouble dropout_p, XPtrTorchbool is_causal, XPtrTorchOptionalTensor dropout_mask, XPtrTorchOptionaldouble scale) {
+  auto r_out = lantern__scaled_dot_product_attention_math_for_mps_tensor_tensor_tensor_tensor_double_bool_tensor_double(query.get(), key.get(), value.get(), attn_mask.get(), dropout_p.get(), is_causal.get(), dropout_mask.get(), scale.get());
+auto wrap = XPtrTorchvector_void(r_out);
+return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 1)));
 }
 
 // [[Rcpp::export(rng=false)]]
-Rcpp::List cpp_torch_namespace__scaled_dot_product_attention_math_query_Tensor_key_Tensor_value_Tensor (XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchOptionalTensor attn_mask, XPtrTorchdouble dropout_p, XPtrTorchbool is_causal, XPtrTorchOptionalTensor dropout_mask) {
-  auto r_out = lantern__scaled_dot_product_attention_math_tensor_tensor_tensor_tensor_double_bool_tensor(query.get(), key.get(), value.get(), attn_mask.get(), dropout_p.get(), is_causal.get(), dropout_mask.get());
+Rcpp::List cpp_torch_namespace__scaled_dot_product_flash_attention_query_Tensor_key_Tensor_value_Tensor (XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchdouble dropout_p, XPtrTorchbool is_causal, XPtrTorchbool return_debug_mask, XPtrTorchOptionaldouble scale) {
+  auto r_out = lantern__scaled_dot_product_flash_attention_tensor_tensor_tensor_double_bool_bool_double(query.get(), key.get(), value.get(), dropout_p.get(), is_causal.get(), return_debug_mask.get(), scale.get());
+auto wrap = XPtrTorchvector_void(r_out);
+return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 1)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 2)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 3)),XPtrTorchint64_t(lantern_vector_get(wrap.get(), 4)),XPtrTorchint64_t(lantern_vector_get(wrap.get(), 5)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 6)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 7)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 8)));
+}
+
+// [[Rcpp::export(rng=false)]]
+Rcpp::List cpp_torch_namespace__scaled_dot_product_flash_attention_for_cpu_query_Tensor_key_Tensor_value_Tensor (XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchdouble dropout_p, XPtrTorchbool is_causal, XPtrTorchOptionalTensor attn_mask, XPtrTorchOptionaldouble scale) {
+  auto r_out = lantern__scaled_dot_product_flash_attention_for_cpu_tensor_tensor_tensor_double_bool_tensor_double(query.get(), key.get(), value.get(), dropout_p.get(), is_causal.get(), attn_mask.get(), scale.get());
 auto wrap = XPtrTorchvector_void(r_out);
 return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 1)));
 }
 
 // [[Rcpp::export(rng=false)]]
-Rcpp::List cpp_torch_namespace__scaled_dot_product_flash_attention_query_Tensor_key_Tensor_value_Tensor (XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchdouble dropout_p, XPtrTorchbool is_causal, XPtrTorchbool return_debug_mask) {
-  auto r_out = lantern__scaled_dot_product_flash_attention_tensor_tensor_tensor_double_bool_bool(query.get(), key.get(), value.get(), dropout_p.get(), is_causal.get(), return_debug_mask.get());
+Rcpp::List cpp_torch_namespace__scaled_dot_product_fused_attention_overrideable_query_Tensor_key_Tensor_value_Tensor (XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchOptionalTensor attn_bias, XPtrTorchdouble dropout_p, XPtrTorchbool is_causal, XPtrTorchbool return_debug_mask, XPtrTorchOptionaldouble scale) {
+  auto r_out = lantern__scaled_dot_product_fused_attention_overrideable_tensor_tensor_tensor_tensor_double_bool_bool_double(query.get(), key.get(), value.get(), attn_bias.get(), dropout_p.get(), is_causal.get(), return_debug_mask.get(), scale.get());
 auto wrap = XPtrTorchvector_void(r_out);
-return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 1)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 2)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 3)),XPtrTorchint64_t(lantern_vector_get(wrap.get(), 4)),XPtrTorchint64_t(lantern_vector_get(wrap.get(), 5)),XPtrTorchint64_t(lantern_vector_get(wrap.get(), 6)),XPtrTorchint64_t(lantern_vector_get(wrap.get(), 7)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 8)));
+return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 1)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 2)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 3)),XPtrTorchint64_t(lantern_vector_get(wrap.get(), 4)),XPtrTorchint64_t(lantern_vector_get(wrap.get(), 5)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 6)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 7)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 8)));
 }
 
 // [[Rcpp::export(rng=false)]]
-Rcpp::List cpp_torch_namespace__scaled_dot_product_flash_attention_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_philox_seed_int64_t_philox_offset_int64_t (XPtrTorchTensor grad_out, XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchTensor out, XPtrTorchTensor logsumexp, XPtrTorchTensor cum_seq_q, XPtrTorchTensor cum_seq_k, XPtrTorchint64_t max_q, XPtrTorchint64_t max_k, XPtrTorchdouble dropout_p, XPtrTorchbool is_causal, XPtrTorchint64_t philox_seed, XPtrTorchint64_t philox_offset) {
-  auto r_out = lantern__scaled_dot_product_flash_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_intt_intt(grad_out.get(), query.get(), key.get(), value.get(), out.get(), logsumexp.get(), cum_seq_q.get(), cum_seq_k.get(), max_q.get(), max_k.get(), dropout_p.get(), is_causal.get(), philox_seed.get(), philox_offset.get());
+Rcpp::List cpp_torch_namespace__scaled_dot_product_flash_attention_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_philox_seed_Tensor_philox_offset_Tensor (XPtrTorchTensor grad_out, XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchTensor out, XPtrTorchTensor logsumexp, XPtrTorchTensor cum_seq_q, XPtrTorchTensor cum_seq_k, XPtrTorchint64_t max_q, XPtrTorchint64_t max_k, XPtrTorchdouble dropout_p, XPtrTorchbool is_causal, XPtrTorchTensor philox_seed, XPtrTorchTensor philox_offset, XPtrTorchOptionaldouble scale) {
+  auto r_out = lantern__scaled_dot_product_flash_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_tensor_tensor_double(grad_out.get(), query.get(), key.get(), value.get(), out.get(), logsumexp.get(), cum_seq_q.get(), cum_seq_k.get(), max_q.get(), max_k.get(), dropout_p.get(), is_causal.get(), philox_seed.get(), philox_offset.get(), scale.get());
 auto wrap = XPtrTorchvector_void(r_out);
 return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 1)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 2)));
 }
 
 // [[Rcpp::export(rng=false)]]
-Rcpp::List cpp_torch_namespace__scaled_dot_product_efficient_attention_query_Tensor_key_Tensor_value_Tensor_compute_log_sumexp_bool (XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchbool compute_log_sumexp, XPtrTorchbool is_causal) {
-  auto r_out = lantern__scaled_dot_product_efficient_attention_tensor_tensor_tensor_bool_bool(query.get(), key.get(), value.get(), compute_log_sumexp.get(), is_causal.get());
+Rcpp::List cpp_torch_namespace__scaled_dot_product_flash_attention_for_cpu_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_dropout_p_double_is_causal_bool (XPtrTorchTensor grad_out, XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchTensor out, XPtrTorchTensor logsumexp, XPtrTorchdouble dropout_p, XPtrTorchbool is_causal, XPtrTorchOptionalTensor attn_mask, XPtrTorchOptionaldouble scale) {
+  auto r_out = lantern__scaled_dot_product_flash_attention_for_cpu_backward_tensor_tensor_tensor_tensor_tensor_tensor_double_bool_tensor_double(grad_out.get(), query.get(), key.get(), value.get(), out.get(), logsumexp.get(), dropout_p.get(), is_causal.get(), attn_mask.get(), scale.get());
 auto wrap = XPtrTorchvector_void(r_out);
-return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 1)));
+return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 1)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 2)));
 }
 
 // [[Rcpp::export(rng=false)]]
-Rcpp::List cpp_torch_namespace__scaled_dot_product_efficient_attention_backward_grad_out__Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor (XPtrTorchTensor grad_out_, XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchTensor out, XPtrTorchTensor logsumexp, XPtrTorchbool is_causal, XPtrTorchbool chunk_grad_outputs) {
-  auto r_out = lantern__scaled_dot_product_efficient_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_bool_bool(grad_out_.get(), query.get(), key.get(), value.get(), out.get(), logsumexp.get(), is_causal.get(), chunk_grad_outputs.get());
+Rcpp::List cpp_torch_namespace__scaled_dot_product_fused_attention_overrideable_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_attn_bias_Tensor_grad_input_mask_stdarraybool4_out_Tensor_logsumexp_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_philox_seed_Tensor_philox_offset_Tensor (XPtrTorchTensor grad_out, XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchTensor attn_bias, std::vector<bool> grad_input_mask, XPtrTorchTensor out, XPtrTorchTensor logsumexp, XPtrTorchTensor cum_seq_q, XPtrTorchTensor cum_seq_k, XPtrTorchint64_t max_q, XPtrTorchint64_t max_k, XPtrTorchdouble dropout_p, XPtrTorchbool is_causal, XPtrTorchTensor philox_seed, XPtrTorchTensor philox_offset, XPtrTorchOptionaldouble scale) {
+  auto r_out = lantern__scaled_dot_product_fused_attention_overrideable_backward_tensor_tensor_tensor_tensor_tensor_stdarraybool_tensor_tensor_tensor_tensor_intt_intt_double_bool_tensor_tensor_double(grad_out.get(), query.get(), key.get(), value.get(), attn_bias.get(), reinterpret_cast<void*>(&grad_input_mask), out.get(), logsumexp.get(), cum_seq_q.get(), cum_seq_k.get(), max_q.get(), max_k.get(), dropout_p.get(), is_causal.get(), philox_seed.get(), philox_offset.get(), scale.get());
 auto wrap = XPtrTorchvector_void(r_out);
-return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 1)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 2)));
+return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 1)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 2)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 3)));
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchbool cpp_torch_namespace__chunk_grad_outputs_efficient_attention_query_Tensor_key_Tensor_value_Tensor (XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchbool is_causal) {
-  auto r_out = lantern__chunk_grad_outputs_efficient_attention_tensor_tensor_tensor_bool(query.get(), key.get(), value.get(), is_causal.get());
-return XPtrTorchbool(r_out);
+Rcpp::List cpp_torch_namespace__scaled_dot_product_efficient_attention_query_Tensor_key_Tensor_value_Tensor_attn_bias_Tensor_compute_log_sumexp_bool (XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchOptionalTensor attn_bias, XPtrTorchbool compute_log_sumexp, XPtrTorchdouble dropout_p, XPtrTorchbool is_causal, XPtrTorchOptionaldouble scale) {
+  auto r_out = lantern__scaled_dot_product_efficient_attention_tensor_tensor_tensor_tensor_bool_double_bool_double(query.get(), key.get(), value.get(), attn_bias.get(), compute_log_sumexp.get(), dropout_p.get(), is_causal.get(), scale.get());
+auto wrap = XPtrTorchvector_void(r_out);
+return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 1)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 2)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 3)));
+}
+
+// [[Rcpp::export(rng=false)]]
+Rcpp::List cpp_torch_namespace__scaled_dot_product_efficient_attention_backward_grad_out__Tensor_query_Tensor_key_Tensor_value_Tensor_attn_bias_Tensor_out_Tensor_logsumexp_Tensor_philox_seed_Tensor_philox_offset_Tensor_dropout_p_double_grad_input_mask_stdarraybool4 (XPtrTorchTensor grad_out_, XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchTensor attn_bias, XPtrTorchTensor out, XPtrTorchTensor logsumexp, XPtrTorchTensor philox_seed, XPtrTorchTensor philox_offset, XPtrTorchdouble dropout_p, std::vector<bool> grad_input_mask, XPtrTorchbool is_causal, XPtrTorchOptionaldouble scale) {
+  auto r_out = lantern__scaled_dot_product_efficient_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_stdarraybool_bool_double(grad_out_.get(), query.get(), key.get(), value.get(), attn_bias.get(), out.get(), logsumexp.get(), philox_seed.get(), philox_offset.get(), dropout_p.get(), reinterpret_cast<void*>(&grad_input_mask), is_causal.get(), scale.get());
+auto wrap = XPtrTorchvector_void(r_out);
+return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 1)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 2)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 3)));
 }
 
 // [[Rcpp::export(rng=false)]]
-Rcpp::List cpp_torch_namespace__flash_attention_forward_query_Tensor_key_Tensor_value_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_return_debug_mask_bool (XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchTensor cum_seq_q, XPtrTorchTensor cum_seq_k, XPtrTorchint64_t max_q, XPtrTorchint64_t max_k, XPtrTorchdouble dropout_p, XPtrTorchbool is_causal, XPtrTorchbool return_debug_mask) {
-  auto r_out = lantern__flash_attention_forward_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_bool(query.get(), key.get(), value.get(), cum_seq_q.get(), cum_seq_k.get(), max_q.get(), max_k.get(), dropout_p.get(), is_causal.get(), return_debug_mask.get());
+Rcpp::List cpp_torch_namespace__scaled_dot_product_cudnn_attention_query_Tensor_key_Tensor_value_Tensor_attn_bias_Tensor_compute_log_sumexp_bool (XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchOptionalTensor attn_bias, XPtrTorchbool compute_log_sumexp, XPtrTorchdouble dropout_p, XPtrTorchbool is_causal, XPtrTorchbool return_debug_mask, XPtrTorchOptionaldouble scale) {
+  auto r_out = lantern__scaled_dot_product_cudnn_attention_tensor_tensor_tensor_tensor_bool_double_bool_bool_double(query.get(), key.get(), value.get(), attn_bias.get(), compute_log_sumexp.get(), dropout_p.get(), is_causal.get(), return_debug_mask.get(), scale.get());
 auto wrap = XPtrTorchvector_void(r_out);
-return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 1)),XPtrTorchint64_t(lantern_vector_get(wrap.get(), 2)),XPtrTorchint64_t(lantern_vector_get(wrap.get(), 3)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 4)));
+return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 1)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 2)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 3)),XPtrTorchint64_t(lantern_vector_get(wrap.get(), 4)),XPtrTorchint64_t(lantern_vector_get(wrap.get(), 5)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 6)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 7)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 8)));
 }
 
 // [[Rcpp::export(rng=false)]]
-Rcpp::List cpp_torch_namespace__flash_attention_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_philox_seed_int64_t_philox_offset_int64_t (XPtrTorchTensor grad_out, XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchTensor out, XPtrTorchTensor logsumexp, XPtrTorchTensor cum_seq_q, XPtrTorchTensor cum_seq_k, XPtrTorchint64_t max_q, XPtrTorchint64_t max_k, XPtrTorchdouble dropout_p, XPtrTorchbool is_causal, XPtrTorchint64_t philox_seed, XPtrTorchint64_t philox_offset) {
-  auto r_out = lantern__flash_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_intt_intt(grad_out.get(), query.get(), key.get(), value.get(), out.get(), logsumexp.get(), cum_seq_q.get(), cum_seq_k.get(), max_q.get(), max_k.get(), dropout_p.get(), is_causal.get(), philox_seed.get(), philox_offset.get());
+Rcpp::List cpp_torch_namespace__scaled_dot_product_cudnn_attention_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_philox_seed_Tensor_philox_offset_Tensor_attn_bias_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool (XPtrTorchTensor grad_out, XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchTensor out, XPtrTorchTensor logsumexp, XPtrTorchTensor philox_seed, XPtrTorchTensor philox_offset, XPtrTorchTensor attn_bias, XPtrTorchTensor cum_seq_q, XPtrTorchTensor cum_seq_k, XPtrTorchint64_t max_q, XPtrTorchint64_t max_k, XPtrTorchdouble dropout_p, XPtrTorchbool is_causal, XPtrTorchOptionaldouble scale) {
+  auto r_out = lantern__scaled_dot_product_cudnn_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_double(grad_out.get(), query.get(), key.get(), value.get(), out.get(), logsumexp.get(), philox_seed.get(), philox_offset.get(), attn_bias.get(), cum_seq_q.get(), cum_seq_k.get(), max_q.get(), max_k.get(), dropout_p.get(), is_causal.get(), scale.get());
 auto wrap = XPtrTorchvector_void(r_out);
 return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 1)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 2)));
 }
 
 // [[Rcpp::export(rng=false)]]
-Rcpp::List cpp_torch_namespace__efficient_attention_forward_query_Tensor_key_Tensor_value_Tensor_cu_seqlens_q_Tensor_cu_seqlens_k_Tensor_max_seqlen_q_int64_t (XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchOptionalTensor cu_seqlens_q, XPtrTorchOptionalTensor cu_seqlens_k, XPtrTorchoptional_int64_t max_seqlen_q, XPtrTorchbool compute_log_sumexp, XPtrTorchbool causal) {
-  auto r_out = lantern__efficient_attention_forward_tensor_tensor_tensor_tensor_tensor_intt_bool_bool(query.get(), key.get(), value.get(), cu_seqlens_q.get(), cu_seqlens_k.get(), max_seqlen_q.get(), compute_log_sumexp.get(), causal.get());
+Rcpp::List cpp_torch_namespace__flash_attention_forward_query_Tensor_key_Tensor_value_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_return_debug_mask_bool (XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchOptionalTensor cum_seq_q, XPtrTorchOptionalTensor cum_seq_k, XPtrTorchint64_t max_q, XPtrTorchint64_t max_k, XPtrTorchdouble dropout_p, XPtrTorchbool is_causal, XPtrTorchbool return_debug_mask, XPtrTorchOptionaldouble scale, XPtrTorchoptional_int64_t window_size_left, XPtrTorchoptional_int64_t window_size_right, XPtrTorchOptionalTensor seqused_k, XPtrTorchOptionalTensor alibi_slopes) {
+  auto r_out = lantern__flash_attention_forward_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_bool_double_intt_intt_tensor_tensor(query.get(), key.get(), value.get(), cum_seq_q.get(), cum_seq_k.get(), max_q.get(), max_k.get(), dropout_p.get(), is_causal.get(), return_debug_mask.get(), scale.get(), window_size_left.get(), window_size_right.get(), seqused_k.get(), alibi_slopes.get());
 auto wrap = XPtrTorchvector_void(r_out);
-return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 1)));
+return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 1)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 2)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 3)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 4)));
 }
 
 // [[Rcpp::export(rng=false)]]
-Rcpp::List cpp_torch_namespace__efficient_attention_backward_grad_out__Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor (XPtrTorchTensor grad_out_, XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchTensor out, XPtrTorchTensor logsumexp, XPtrTorchbool is_causal, XPtrTorchbool chunk_grad_outputs) {
-  auto r_out = lantern__efficient_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_bool_bool(grad_out_.get(), query.get(), key.get(), value.get(), out.get(), logsumexp.get(), is_causal.get(), chunk_grad_outputs.get());
+Rcpp::List cpp_torch_namespace__flash_attention_backward_grad_out_Tensor_query_Tensor_key_Tensor_value_Tensor_out_Tensor_logsumexp_Tensor_cum_seq_q_Tensor_cum_seq_k_Tensor_max_q_int64_t_max_k_int64_t_dropout_p_double_is_causal_bool_philox_seed_Tensor_philox_offset_Tensor (XPtrTorchTensor grad_out, XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchTensor out, XPtrTorchTensor logsumexp, XPtrTorchTensor cum_seq_q, XPtrTorchTensor cum_seq_k, XPtrTorchint64_t max_q, XPtrTorchint64_t max_k, XPtrTorchdouble dropout_p, XPtrTorchbool is_causal, XPtrTorchTensor philox_seed, XPtrTorchTensor philox_offset, XPtrTorchOptionaldouble scale, XPtrTorchoptional_int64_t window_size_left, XPtrTorchoptional_int64_t window_size_right) {
+  auto r_out = lantern__flash_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_tensor_tensor_double_intt_intt(grad_out.get(), query.get(), key.get(), value.get(), out.get(), logsumexp.get(), cum_seq_q.get(), cum_seq_k.get(), max_q.get(), max_k.get(), dropout_p.get(), is_causal.get(), philox_seed.get(), philox_offset.get(), scale.get(), window_size_left.get(), window_size_right.get());
 auto wrap = XPtrTorchvector_void(r_out);
 return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 1)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 2)));
 }
 
+// [[Rcpp::export(rng=false)]]
+Rcpp::List cpp_torch_namespace__efficient_attention_forward_query_Tensor_key_Tensor_value_Tensor_bias_Tensor_cu_seqlens_q_Tensor_cu_seqlens_k_Tensor_max_seqlen_q_int64_t_max_seqlen_k_int64_t_dropout_p_double_custom_mask_type_int64_t (XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchOptionalTensor bias, XPtrTorchOptionalTensor cu_seqlens_q, XPtrTorchOptionalTensor cu_seqlens_k, XPtrTorchoptional_int64_t max_seqlen_q, XPtrTorchoptional_int64_t max_seqlen_k, XPtrTorchdouble dropout_p, XPtrTorchint64_t custom_mask_type, XPtrTorchbool compute_log_sumexp, XPtrTorchOptionaldouble scale, XPtrTorchOptionalTensor seqlen_k, XPtrTorchoptional_int64_t window_size) {
+  auto r_out = lantern__efficient_attention_forward_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_intt_bool_double_tensor_intt(query.get(), key.get(), value.get(), bias.get(), cu_seqlens_q.get(), cu_seqlens_k.get(), max_seqlen_q.get(), max_seqlen_k.get(), dropout_p.get(), custom_mask_type.get(), compute_log_sumexp.get(), scale.get(), seqlen_k.get(), window_size.get());
+auto wrap = XPtrTorchvector_void(r_out);
+return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 1)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 2)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 3)),XPtrTorchint64_t(lantern_vector_get(wrap.get(), 4)),XPtrTorchint64_t(lantern_vector_get(wrap.get(), 5)));
+}
+
+// [[Rcpp::export(rng=false)]]
+Rcpp::List cpp_torch_namespace__efficient_attention_backward_grad_out__Tensor_query_Tensor_key_Tensor_value_Tensor_bias_Tensor_out_Tensor_cu_seqlens_q_Tensor_cu_seqlens_k_Tensor_max_seqlen_q_int64_t_max_seqlen_k_int64_t_logsumexp_Tensor_dropout_p_double_philox_seed_Tensor_philox_offset_Tensor_custom_mask_type_int64_t_bias_requires_grad_bool (XPtrTorchTensor grad_out_, XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchOptionalTensor bias, XPtrTorchTensor out, XPtrTorchOptionalTensor cu_seqlens_q, XPtrTorchOptionalTensor cu_seqlens_k, XPtrTorchint64_t max_seqlen_q, XPtrTorchint64_t max_seqlen_k, XPtrTorchTensor logsumexp, XPtrTorchdouble dropout_p, XPtrTorchTensor philox_seed, XPtrTorchTensor philox_offset, XPtrTorchint64_t custom_mask_type, XPtrTorchbool bias_requires_grad, XPtrTorchOptionaldouble scale, XPtrTorchoptional_int64_t num_splits_key, XPtrTorchoptional_int64_t window_size, XPtrTorchbool shared_storage_dqdkdv) {
+  auto r_out = lantern__efficient_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_tensor_double_tensor_tensor_intt_bool_double_intt_intt_bool(grad_out_.get(), query.get(), key.get(), value.get(), bias.get(), out.get(), cu_seqlens_q.get(), cu_seqlens_k.get(), max_seqlen_q.get(), max_seqlen_k.get(), logsumexp.get(), dropout_p.get(), philox_seed.get(), philox_offset.get(), custom_mask_type.get(), bias_requires_grad.get(), scale.get(), num_splits_key.get(), window_size.get(), shared_storage_dqdkdv.get());
+auto wrap = XPtrTorchvector_void(r_out);
+return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 1)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 2)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 3)));
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_namespace__triton_scaled_dot_attention_q_Tensor_k_Tensor_v_Tensor (XPtrTorchTensor q, XPtrTorchTensor k, XPtrTorchTensor v, XPtrTorchdouble dropout_p) {
   auto r_out = lantern__triton_scaled_dot_attention_tensor_tensor_tensor_double(q.get(), k.get(), v.get(), dropout_p.get());
 return XPtrTorchTensor(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace__fill_mem_eff_dropout_mask__self_Tensor_dropout_p_double_seed_int64_t_offset_int64_t (XPtrTorchTensor self, XPtrTorchdouble dropout_p, XPtrTorchint64_t seed, XPtrTorchint64_t offset) {
+  auto r_out = lantern__fill_mem_eff_dropout_mask__tensor_double_intt_intt(self.get(), dropout_p.get(), seed.get(), offset.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_namespace__triton_multi_head_attention_query_Tensor_key_Tensor_value_Tensor_embed_dim_int64_t_num_head_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor (XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchint64_t embed_dim, XPtrTorchint64_t num_head, XPtrTorchTensor qkv_weight, XPtrTorchTensor qkv_bias, XPtrTorchTensor proj_weight, XPtrTorchTensor proj_bias, XPtrTorchOptionalTensor mask) {
   auto r_out = lantern__triton_multi_head_attention_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_tensor(query.get(), key.get(), value.get(), embed_dim.get(), num_head.get(), qkv_weight.get(), qkv_bias.get(), proj_weight.get(), proj_bias.get(), mask.get());
@@ -17563,20 +18287,6 @@ XPtrTorchTensor cpp_torch_namespace_special_airy_ai_out_out_Tensor_x_Tensor (XPt
 return XPtrTorchTensor(r_out);
 }
 
-// [[Rcpp::export(rng=false)]]
-Rcpp::List cpp_torch_namespace__transformer_decoder_only_layer_fwd_src_Tensor_embed_dim_int64_t_num_heads_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor_use_gelu_bool_norm_first_bool_eps_double_norm_weight_1_Tensor_norm_bias_1_Tensor_norm_weight_2_Tensor_norm_bias_2_Tensor_ffn_weight_1_Tensor_ffn_bias_1_Tensor_ffn_weight_2_Tensor_ffn_bias_2_Tensor (XPtrTorchTensor src, XPtrTorchint64_t embed_dim, XPtrTorchint64_t num_heads, XPtrTorchTensor qkv_weight, XPtrTorchTensor qkv_bias, XPtrTorchTensor proj_weight, XPtrTorchTensor proj_bias, XPtrTorchbool use_gelu, XPtrTorchbool norm_first, XPtrTorchdouble eps, XPtrTorchTensor norm_weight_1, XPtrTorchTensor norm_bias_1, XPtrTorchTensor norm_weight_2, XPtrTorchTensor norm_bias_2, XPtrTorchTensor ffn_weight_1, XPtrTorchTensor ffn_bias_1, XPtrTorchTensor ffn_weight_2, XPtrTorchTensor ffn_bias_2, XPtrTorchOptionalTensor mask, XPtrTorchOptionalTensor incr_key, XPtrTorchOptionalTensor incr_value) {
-  auto r_out = lantern__transformer_decoder_only_layer_fwd_tensor_intt_intt_tensor_tensor_tensor_tensor_bool_bool_double_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor(src.get(), embed_dim.get(), num_heads.get(), qkv_weight.get(), qkv_bias.get(), proj_weight.get(), proj_bias.get(), use_gelu.get(), norm_first.get(), eps.get(), norm_weight_1.get(), norm_bias_1.get(), norm_weight_2.get(), norm_bias_2.get(), ffn_weight_1.get(), ffn_bias_1.get(), ffn_weight_2.get(), ffn_bias_2.get(), mask.get(), incr_key.get(), incr_value.get());
-auto wrap = XPtrTorchvector_void(r_out);
-return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 1)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 2)));
-}
-
-// [[Rcpp::export(rng=false)]]
-Rcpp::List cpp_torch_namespace__native_decoder_only_multi_head_attention_query_Tensor_key_Tensor_value_Tensor_embed_dim_int64_t_num_head_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor (XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchint64_t embed_dim, XPtrTorchint64_t num_head, XPtrTorchTensor qkv_weight, XPtrTorchTensor qkv_bias, XPtrTorchTensor proj_weight, XPtrTorchTensor proj_bias, XPtrTorchOptionalTensor mask, XPtrTorchOptionalTensor incr_key, XPtrTorchOptionalTensor incr_value, XPtrTorchbool need_weights, XPtrTorchbool average_attn_weights) {
-  auto r_out = lantern__native_decoder_only_multi_head_attention_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_bool(query.get(), key.get(), value.get(), embed_dim.get(), num_head.get(), qkv_weight.get(), qkv_bias.get(), proj_weight.get(), proj_bias.get(), mask.get(), incr_key.get(), incr_value.get(), need_weights.get(), average_attn_weights.get());
-auto wrap = XPtrTorchvector_void(r_out);
-return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 1)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 2)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 3)));
-}
-
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_namespace_special_bessel_j0_self_Tensor (XPtrTorchTensor self) {
   auto r_out = lantern_special_bessel_j0_tensor(self.get());
@@ -18152,11 +18862,41 @@ void cpp_torch_namespace__fused_adam__self_TensorList_grads_TensorList_exp_avgs_
   lantern__fused_adam__tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor(self.get(), grads.get(), exp_avgs.get(), exp_avg_sqs.get(), max_exp_avg_sqs.get(), state_steps.get(), lr.get(), beta1.get(), beta2.get(), weight_decay.get(), eps.get(), amsgrad.get(), maximize.get(), grad_scale.get(), found_inf.get());
 }
 
+// [[Rcpp::export(rng=false)]]
+void cpp_torch_namespace__fused_adam__self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool (XPtrTorchTensorList self, XPtrTorchTensorList grads, XPtrTorchTensorList exp_avgs, XPtrTorchTensorList exp_avg_sqs, XPtrTorchTensorList max_exp_avg_sqs, XPtrTorchTensorList state_steps, XPtrTorchTensor lr, XPtrTorchdouble beta1, XPtrTorchdouble beta2, XPtrTorchdouble weight_decay, XPtrTorchdouble eps, XPtrTorchbool amsgrad, XPtrTorchbool maximize, XPtrTorchOptionalTensor grad_scale, XPtrTorchOptionalTensor found_inf) {
+  lantern__fused_adam__tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor(self.get(), grads.get(), exp_avgs.get(), exp_avg_sqs.get(), max_exp_avg_sqs.get(), state_steps.get(), lr.get(), beta1.get(), beta2.get(), weight_decay.get(), eps.get(), amsgrad.get(), maximize.get(), grad_scale.get(), found_inf.get());
+}
+
 // [[Rcpp::export(rng=false)]]
 void cpp_torch_namespace__fused_adamw__self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_double_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool (XPtrTorchTensorList self, XPtrTorchTensorList grads, XPtrTorchTensorList exp_avgs, XPtrTorchTensorList exp_avg_sqs, XPtrTorchTensorList max_exp_avg_sqs, XPtrTorchTensorList state_steps, XPtrTorchdouble lr, XPtrTorchdouble beta1, XPtrTorchdouble beta2, XPtrTorchdouble weight_decay, XPtrTorchdouble eps, XPtrTorchbool amsgrad, XPtrTorchbool maximize, XPtrTorchOptionalTensor grad_scale, XPtrTorchOptionalTensor found_inf) {
   lantern__fused_adamw__tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor(self.get(), grads.get(), exp_avgs.get(), exp_avg_sqs.get(), max_exp_avg_sqs.get(), state_steps.get(), lr.get(), beta1.get(), beta2.get(), weight_decay.get(), eps.get(), amsgrad.get(), maximize.get(), grad_scale.get(), found_inf.get());
 }
 
+// [[Rcpp::export(rng=false)]]
+void cpp_torch_namespace__fused_adamw__self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool (XPtrTorchTensorList self, XPtrTorchTensorList grads, XPtrTorchTensorList exp_avgs, XPtrTorchTensorList exp_avg_sqs, XPtrTorchTensorList max_exp_avg_sqs, XPtrTorchTensorList state_steps, XPtrTorchTensor lr, XPtrTorchdouble beta1, XPtrTorchdouble beta2, XPtrTorchdouble weight_decay, XPtrTorchdouble eps, XPtrTorchbool amsgrad, XPtrTorchbool maximize, XPtrTorchOptionalTensor grad_scale, XPtrTorchOptionalTensor found_inf) {
+  lantern__fused_adamw__tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor(self.get(), grads.get(), exp_avgs.get(), exp_avg_sqs.get(), max_exp_avg_sqs.get(), state_steps.get(), lr.get(), beta1.get(), beta2.get(), weight_decay.get(), eps.get(), amsgrad.get(), maximize.get(), grad_scale.get(), found_inf.get());
+}
+
+// [[Rcpp::export(rng=false)]]
+void cpp_torch_namespace__fused_sgd__self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_double_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool (XPtrTorchTensorList self, XPtrTorchTensorList grads, XPtrTorchTensorList momentum_buffer_list, XPtrTorchdouble weight_decay, XPtrTorchdouble momentum, XPtrTorchdouble lr, XPtrTorchdouble dampening, XPtrTorchbool nesterov, XPtrTorchbool maximize, XPtrTorchbool is_first_step, XPtrTorchOptionalTensor grad_scale, XPtrTorchOptionalTensor found_inf) {
+  lantern__fused_sgd__tensorlist_tensorlist_tensorlist_double_double_double_double_bool_bool_bool_tensor_tensor(self.get(), grads.get(), momentum_buffer_list.get(), weight_decay.get(), momentum.get(), lr.get(), dampening.get(), nesterov.get(), maximize.get(), is_first_step.get(), grad_scale.get(), found_inf.get());
+}
+
+// [[Rcpp::export(rng=false)]]
+void cpp_torch_namespace__fused_sgd__self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_Tensor_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool (XPtrTorchTensorList self, XPtrTorchTensorList grads, XPtrTorchTensorList momentum_buffer_list, XPtrTorchdouble weight_decay, XPtrTorchdouble momentum, XPtrTorchTensor lr, XPtrTorchdouble dampening, XPtrTorchbool nesterov, XPtrTorchbool maximize, XPtrTorchbool is_first_step, XPtrTorchOptionalTensor grad_scale, XPtrTorchOptionalTensor found_inf) {
+  lantern__fused_sgd__tensorlist_tensorlist_tensorlist_double_double_tensor_double_bool_bool_bool_tensor_tensor(self.get(), grads.get(), momentum_buffer_list.get(), weight_decay.get(), momentum.get(), lr.get(), dampening.get(), nesterov.get(), maximize.get(), is_first_step.get(), grad_scale.get(), found_inf.get());
+}
+
+// [[Rcpp::export(rng=false)]]
+void cpp_torch_namespace__fused_adagrad__self_TensorList_grads_TensorList_state_sums_TensorList_state_steps_TensorList_lr_double_lr_decay_double_weight_decay_double_eps_double_maximize_bool (XPtrTorchTensorList self, XPtrTorchTensorList grads, XPtrTorchTensorList state_sums, XPtrTorchTensorList state_steps, XPtrTorchdouble lr, XPtrTorchdouble lr_decay, XPtrTorchdouble weight_decay, XPtrTorchdouble eps, XPtrTorchbool maximize, XPtrTorchOptionalTensor grad_scale, XPtrTorchOptionalTensor found_inf) {
+  lantern__fused_adagrad__tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_tensor_tensor(self.get(), grads.get(), state_sums.get(), state_steps.get(), lr.get(), lr_decay.get(), weight_decay.get(), eps.get(), maximize.get(), grad_scale.get(), found_inf.get());
+}
+
+// [[Rcpp::export(rng=false)]]
+void cpp_torch_namespace__propagate_xla_data_input_Tensor_output_Tensor (XPtrTorchTensor input, XPtrTorchTensor output) {
+  lantern__propagate_xla_data_tensor_tensor(input.get(), output.get());
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_namespace__new_zeros_with_same_feature_meta_out_out_Tensor_self_Tensor_other_Tensor (XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchTensor other, XPtrTorchint64_t self_num_batch_dims) {
   auto r_out = lantern__new_zeros_with_same_feature_meta_out_tensor_tensor_tensor_intt(out.get(), self.get(), other.get(), self_num_batch_dims.get());
@@ -18244,6 +18984,12 @@ XPtrTorchTensor cpp_torch_namespace_affine_grid_generator_out_out_Tensor_theta_T
 return XPtrTorchTensor(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace__test_functorch_fallback_out_out_Tensor_self_Tensor_other_Tensor (XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchTensor other) {
+  auto r_out = lantern__test_functorch_fallback_out_tensor_tensor_tensor(out.get(), self.get(), other.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_namespace_bartlett_window_out_out_Tensor_window_length_int64_t (XPtrTorchTensor out, XPtrTorchint64_t window_length) {
   auto r_out = lantern_bartlett_window_out_tensor_intt(out.get(), window_length.get());
@@ -18410,12 +19156,6 @@ auto wrap = XPtrTorchvector_void(r_out);
 return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 1)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 2)));
 }
 
-// [[Rcpp::export(rng=false)]]
-XPtrTorchTensor cpp_torch_namespace_cudnn_convolution_out_out_Tensor_self_Tensor_weight_Tensor_padding_IntArrayRef_stride_IntArrayRef_dilation_IntArrayRef_groups_int64_t_benchmark_bool_deterministic_bool_allow_tf32_bool (XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchTensor weight, XPtrTorchIntArrayRef padding, XPtrTorchIntArrayRef stride, XPtrTorchIntArrayRef dilation, XPtrTorchint64_t groups, XPtrTorchbool benchmark, XPtrTorchbool deterministic, XPtrTorchbool allow_tf32) {
-  auto r_out = lantern_cudnn_convolution_out_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intt_bool_bool_bool(out.get(), self.get(), weight.get(), padding.get(), stride.get(), dilation.get(), groups.get(), benchmark.get(), deterministic.get(), allow_tf32.get());
-return XPtrTorchTensor(r_out);
-}
-
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_namespace_cudnn_convolution_transpose_out_out_Tensor_self_Tensor_weight_Tensor_padding_IntArrayRef_output_padding_IntArrayRef_stride_IntArrayRef_dilation_IntArrayRef_groups_int64_t_benchmark_bool_deterministic_bool_allow_tf32_bool (XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchTensor weight, XPtrTorchIntArrayRef padding, XPtrTorchIntArrayRef output_padding, XPtrTorchIntArrayRef stride, XPtrTorchIntArrayRef dilation, XPtrTorchint64_t groups, XPtrTorchbool benchmark, XPtrTorchbool deterministic, XPtrTorchbool allow_tf32) {
   auto r_out = lantern_cudnn_convolution_transpose_out_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt_bool_bool_bool(out.get(), self.get(), weight.get(), padding.get(), output_padding.get(), stride.get(), dilation.get(), groups.get(), benchmark.get(), deterministic.get(), allow_tf32.get());
@@ -18560,6 +19300,12 @@ XPtrTorchTensor cpp_torch_namespace_empty_out_out_Tensor_size_IntArrayRef_names_
 return XPtrTorchTensor(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace_empty_permuted_out_out_Tensor_size_IntArrayRef_physical_layout_IntArrayRef (XPtrTorchTensor out, XPtrTorchIntArrayRef size, XPtrTorchIntArrayRef physical_layout) {
+  auto r_out = lantern_empty_permuted_out_tensor_intarrayref_intarrayref(out.get(), size.get(), physical_layout.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_namespace_new_empty_out_out_Tensor_self_Tensor_size_IntArrayRef (XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchIntArrayRef size) {
   auto r_out = lantern_new_empty_out_tensor_tensor_intarrayref(out.get(), self.get(), size.get());
@@ -18656,6 +19402,12 @@ XPtrTorchTensor cpp_torch_namespace_fill_out_out_Tensor_self_Tensor_value_Tensor
 return XPtrTorchTensor(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace_floor_divide_out_out_Tensor_self_Tensor_other_Scalar (XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchScalar other) {
+  auto r_out = lantern_floor_divide_out_tensor_tensor_scalar(out.get(), self.get(), other.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_namespace_full_out_out_Tensor_size_IntArrayRef_fill_value_Scalar_names_DimnameList (XPtrTorchTensor out, XPtrTorchIntArrayRef size, XPtrTorchScalar fill_value, XPtrTorchOptionalDimnameList names) {
   auto r_out = lantern_full_out_tensor_intarrayref_scalar_dimnamelist(out.get(), size.get(), fill_value.get(), names.get());
@@ -18775,20 +19527,20 @@ return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPt
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensor cpp_torch_namespace_index_put_out_out_Tensor_self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor (XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchOptionalIndexTensorList indices, XPtrTorchTensor values, XPtrTorchbool accumulate) {
-  auto r_out = lantern_index_put_out_tensor_tensor_constclistcoptionaltensor_tensor_bool(out.get(), self.get(), indices.get(), values.get(), accumulate.get());
+XPtrTorchTensor cpp_torch_namespace_index_put_out_out_Tensor_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor (XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchOptionalIndexTensorList indices, XPtrTorchTensor values, XPtrTorchbool accumulate) {
+  auto r_out = lantern_index_put_out_tensor_tensor_constcliststdoptionaltensor_tensor_bool(out.get(), self.get(), indices.get(), values.get(), accumulate.get());
 return XPtrTorchTensor(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensor cpp_torch_namespace__index_put_impl_out_out_Tensor_self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor (XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchOptionalIndexTensorList indices, XPtrTorchTensor values, XPtrTorchbool accumulate, XPtrTorchbool unsafe) {
-  auto r_out = lantern__index_put_impl_out_tensor_tensor_constclistcoptionaltensor_tensor_bool_bool(out.get(), self.get(), indices.get(), values.get(), accumulate.get(), unsafe.get());
+XPtrTorchTensor cpp_torch_namespace__index_put_impl_out_out_Tensor_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor (XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchOptionalIndexTensorList indices, XPtrTorchTensor values, XPtrTorchbool accumulate, XPtrTorchbool unsafe) {
+  auto r_out = lantern__index_put_impl_out_tensor_tensor_constcliststdoptionaltensor_tensor_bool_bool(out.get(), self.get(), indices.get(), values.get(), accumulate.get(), unsafe.get());
 return XPtrTorchTensor(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensor cpp_torch_namespace__index_put_impl_self_Tensor_indices_constc10Listc10optionalTensor_values_Tensor (XPtrTorchTensor self, XPtrTorchOptionalIndexTensorList indices, XPtrTorchTensor values, XPtrTorchbool accumulate, XPtrTorchbool unsafe) {
-  auto r_out = lantern__index_put_impl_tensor_constclistcoptionaltensor_tensor_bool_bool(self.get(), indices.get(), values.get(), accumulate.get(), unsafe.get());
+XPtrTorchTensor cpp_torch_namespace__index_put_impl_self_Tensor_indices_constc10ListstdoptionalTensor_values_Tensor (XPtrTorchTensor self, XPtrTorchOptionalIndexTensorList indices, XPtrTorchTensor values, XPtrTorchbool accumulate, XPtrTorchbool unsafe) {
+  auto r_out = lantern__index_put_impl_tensor_constcliststdoptionaltensor_tensor_bool_bool(self.get(), indices.get(), values.get(), accumulate.get(), unsafe.get());
 return XPtrTorchTensor(r_out);
 }
 
@@ -18908,6 +19660,12 @@ XPtrTorchTensor cpp_torch_namespace_quantized_max_pool2d_out_out_Tensor_self_Ten
 return XPtrTorchTensor(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace_quantized_max_pool3d_out_out_Tensor_self_Tensor_kernel_size_IntArrayRef (XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchIntArrayRef kernel_size, XPtrTorchIntArrayRef stride, XPtrTorchIntArrayRef padding, XPtrTorchIntArrayRef dilation, XPtrTorchbool ceil_mode) {
+  auto r_out = lantern_quantized_max_pool3d_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool(out.get(), self.get(), kernel_size.get(), stride.get(), padding.get(), dilation.get(), ceil_mode.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_namespace_median_out_out_Tensor_self_Tensor (XPtrTorchTensor out, XPtrTorchTensor self) {
   auto r_out = lantern_median_out_tensor_tensor(out.get(), self.get());
@@ -19016,6 +19774,13 @@ auto wrap = XPtrTorchvector_void(r_out);
 return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 1)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 2)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 3)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 4)));
 }
 
+// [[Rcpp::export(rng=false)]]
+Rcpp::List cpp_torch_namespace__native_batch_norm_legit_no_training_out_out0_Tensor_out1_Tensor_out2_Tensor_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double (XPtrTorchTensor out0, XPtrTorchTensor out1, XPtrTorchTensor out2, XPtrTorchTensor input, XPtrTorchOptionalTensor weight, XPtrTorchOptionalTensor bias, XPtrTorchTensor running_mean, XPtrTorchTensor running_var, XPtrTorchdouble momentum, XPtrTorchdouble eps) {
+  auto r_out = lantern__native_batch_norm_legit_no_training_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_double(out0.get(), out1.get(), out2.get(), input.get(), weight.get(), bias.get(), running_mean.get(), running_var.get(), momentum.get(), eps.get());
+auto wrap = XPtrTorchvector_void(r_out);
+return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 1)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 2)));
+}
+
 // [[Rcpp::export(rng=false)]]
 Rcpp::List cpp_torch_namespace_batch_norm_stats_out_out0_Tensor_out1_Tensor_input_Tensor_eps_double (XPtrTorchTensor out0, XPtrTorchTensor out1, XPtrTorchTensor input, XPtrTorchdouble eps) {
   auto r_out = lantern_batch_norm_stats_out_tensor_tensor_tensor_double(out0.get(), out1.get(), input.get(), eps.get());
@@ -19052,8 +19817,8 @@ return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPt
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensor cpp_torch_namespace_batch_norm_backward_elemt_out_out_Tensor_grad_out_Tensor_input_Tensor_mean_Tensor_invstd_Tensor_weight_Tensor_mean_dy_Tensor_mean_dy_xmu_Tensor_count_Tensor (XPtrTorchTensor out, XPtrTorchTensor grad_out, XPtrTorchTensor input, XPtrTorchTensor mean, XPtrTorchTensor invstd, XPtrTorchOptionalTensor weight, XPtrTorchTensor mean_dy, XPtrTorchTensor mean_dy_xmu, XPtrTorchTensor count) {
-  auto r_out = lantern_batch_norm_backward_elemt_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor(out.get(), grad_out.get(), input.get(), mean.get(), invstd.get(), weight.get(), mean_dy.get(), mean_dy_xmu.get(), count.get());
+XPtrTorchTensor cpp_torch_namespace_batch_norm_backward_elemt_out_out_Tensor_grad_out_Tensor_input_Tensor_mean_Tensor_invstd_Tensor_weight_Tensor_sum_dy_Tensor_sum_dy_xmu_Tensor_count_Tensor (XPtrTorchTensor out, XPtrTorchTensor grad_out, XPtrTorchTensor input, XPtrTorchTensor mean, XPtrTorchTensor invstd, XPtrTorchOptionalTensor weight, XPtrTorchTensor sum_dy, XPtrTorchTensor sum_dy_xmu, XPtrTorchTensor count) {
+  auto r_out = lantern_batch_norm_backward_elemt_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor(out.get(), grad_out.get(), input.get(), mean.get(), invstd.get(), weight.get(), sum_dy.get(), sum_dy_xmu.get(), count.get());
 return XPtrTorchTensor(r_out);
 }
 
@@ -19333,6 +20098,12 @@ XPtrTorchTensor cpp_torch_namespace__nested_tensor_strides_out_out_Tensor_self_T
 return XPtrTorchTensor(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace__nested_tensor_storage_offsets_out_out_Tensor_self_Tensor (XPtrTorchTensor out, XPtrTorchTensor self) {
+  auto r_out = lantern__nested_tensor_storage_offsets_out_tensor_tensor(out.get(), self.get());
+return XPtrTorchTensor(r_out);
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_namespace__nested_from_padded_and_nested_example_out_out_Tensor_padded_Tensor_nt_example_Tensor (XPtrTorchTensor out, XPtrTorchTensor padded, XPtrTorchTensor nt_example) {
   auto r_out = lantern__nested_from_padded_and_nested_example_out_tensor_tensor_tensor(out.get(), padded.get(), nt_example.get());
@@ -19340,8 +20111,20 @@ return XPtrTorchTensor(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensor cpp_torch_namespace__nested_view_from_buffer_copy_out_out_Tensor_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_IntArrayRef (XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchTensor nested_size, XPtrTorchTensor nested_strides, XPtrTorchIntArrayRef offsets) {
-  auto r_out = lantern__nested_view_from_buffer_copy_out_tensor_tensor_tensor_tensor_intarrayref(out.get(), self.get(), nested_size.get(), nested_strides.get(), offsets.get());
+XPtrTorchTensor cpp_torch_namespace__nested_view_from_buffer_copy_out_out_Tensor_self_Tensor_nested_size_Tensor_nested_strides_Tensor_offsets_Tensor (XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchTensor nested_size, XPtrTorchTensor nested_strides, XPtrTorchTensor offsets) {
+  auto r_out = lantern__nested_view_from_buffer_copy_out_tensor_tensor_tensor_tensor_tensor(out.get(), self.get(), nested_size.get(), nested_strides.get(), offsets.get());
+return XPtrTorchTensor(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace__nested_view_from_jagged_copy_out_out_Tensor_self_Tensor_offsets_Tensor_dummy_Tensor (XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchTensor offsets, XPtrTorchTensor dummy, XPtrTorchOptionalTensor lengths, XPtrTorchint64_t ragged_idx, XPtrTorchOptionalTensor min_seqlen, XPtrTorchOptionalTensor max_seqlen) {
+  auto r_out = lantern__nested_view_from_jagged_copy_out_tensor_tensor_tensor_tensor_tensor_intt_tensor_tensor(out.get(), self.get(), offsets.get(), dummy.get(), lengths.get(), ragged_idx.get(), min_seqlen.get(), max_seqlen.get());
+return XPtrTorchTensor(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace__nested_get_values_copy_out_out_Tensor_self_Tensor (XPtrTorchTensor out, XPtrTorchTensor self) {
+  auto r_out = lantern__nested_get_values_copy_out_tensor_tensor(out.get(), self.get());
 return XPtrTorchTensor(r_out);
 }
 
@@ -19472,6 +20255,20 @@ XPtrTorchTensor cpp_torch_namespace_native_norm_out_out_Tensor_self_Tensor_p_Sca
 return XPtrTorchTensor(r_out);
 }
 
+// [[Rcpp::export(rng=false)]]
+Rcpp::List cpp_torch_namespace__batch_norm_with_update_functional_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double (XPtrTorchTensor input, XPtrTorchOptionalTensor weight, XPtrTorchOptionalTensor bias, XPtrTorchTensor running_mean, XPtrTorchTensor running_var, XPtrTorchdouble momentum, XPtrTorchdouble eps) {
+  auto r_out = lantern__batch_norm_with_update_functional_tensor_tensor_tensor_tensor_tensor_double_double(input.get(), weight.get(), bias.get(), running_mean.get(), running_var.get(), momentum.get(), eps.get());
+auto wrap = XPtrTorchvector_void(r_out);
+return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 1)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 2)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 3)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 4)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 5)));
+}
+
+// [[Rcpp::export(rng=false)]]
+Rcpp::List cpp_torch_namespace__batch_norm_no_update_out_out0_Tensor_out1_Tensor_out2_Tensor_out3_Tensor_input_Tensor_weight_Tensor_bias_Tensor_running_mean_Tensor_running_var_Tensor_momentum_double_eps_double (XPtrTorchTensor out0, XPtrTorchTensor out1, XPtrTorchTensor out2, XPtrTorchTensor out3, XPtrTorchTensor input, XPtrTorchOptionalTensor weight, XPtrTorchOptionalTensor bias, XPtrTorchOptionalTensor running_mean, XPtrTorchOptionalTensor running_var, XPtrTorchdouble momentum, XPtrTorchdouble eps) {
+  auto r_out = lantern__batch_norm_no_update_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_double(out0.get(), out1.get(), out2.get(), out3.get(), input.get(), weight.get(), bias.get(), running_mean.get(), running_var.get(), momentum.get(), eps.get());
+auto wrap = XPtrTorchvector_void(r_out);
+return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 1)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 2)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 3)));
+}
+
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_namespace__sparse_sum_out_out_Tensor_self_Tensor_dim_IntArrayRef (XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchIndexIntArrayRef dim) {
   auto r_out = lantern__sparse_sum_out_tensor_tensor_intarrayref(out.get(), self.get(), dim.get());
@@ -19617,8 +20414,8 @@ return XPtrTorchTensor(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensor cpp_torch_namespace__sparse_coo_tensor_with_dims_and_tensors_out_out_Tensor_sparse_dim_int64_t_dense_dim_int64_t_size_IntArrayRef_indices_Tensor_values_Tensor (XPtrTorchTensor out, XPtrTorchint64_t sparse_dim, XPtrTorchint64_t dense_dim, XPtrTorchIntArrayRef size, XPtrTorchIndexTensor indices, XPtrTorchTensor values) {
-  auto r_out = lantern__sparse_coo_tensor_with_dims_and_tensors_out_tensor_intt_intt_intarrayref_tensor_tensor(out.get(), sparse_dim.get(), dense_dim.get(), size.get(), indices.get(), values.get());
+XPtrTorchTensor cpp_torch_namespace__sparse_coo_tensor_with_dims_and_tensors_out_out_Tensor_sparse_dim_int64_t_dense_dim_int64_t_size_IntArrayRef_indices_Tensor_values_Tensor (XPtrTorchTensor out, XPtrTorchint64_t sparse_dim, XPtrTorchint64_t dense_dim, XPtrTorchIntArrayRef size, XPtrTorchIndexTensor indices, XPtrTorchTensor values, XPtrTorchoptional_bool is_coalesced) {
+  auto r_out = lantern__sparse_coo_tensor_with_dims_and_tensors_out_tensor_intt_intt_intarrayref_tensor_tensor_bool(out.get(), sparse_dim.get(), dense_dim.get(), size.get(), indices.get(), values.get(), is_coalesced.get());
 return XPtrTorchTensor(r_out);
 }
 
@@ -19653,8 +20450,14 @@ return XPtrTorchTensor(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensor cpp_torch_namespace__to_dense_out_out_Tensor_self_Tensor (XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchoptional_scalar_type dtype) {
-  auto r_out = lantern__to_dense_out_tensor_tensor_scalartype(out.get(), self.get(), dtype.get());
+XPtrTorchTensor cpp_torch_namespace__sparse_mask_projection_out_out_Tensor_self_Tensor_mask_Tensor (XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchTensor mask, XPtrTorchbool accumulate_matches) {
+  auto r_out = lantern__sparse_mask_projection_out_tensor_tensor_tensor_bool(out.get(), self.get(), mask.get(), accumulate_matches.get());
+return XPtrTorchTensor(r_out);
+}
+
+// [[Rcpp::export(rng=false)]]
+XPtrTorchTensor cpp_torch_namespace__to_dense_out_out_Tensor_self_Tensor (XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchoptional_scalar_type dtype, XPtrTorchoptional_bool masked_grad) {
+  auto r_out = lantern__to_dense_out_tensor_tensor_scalartype_bool(out.get(), self.get(), dtype.get(), masked_grad.get());
 return XPtrTorchTensor(r_out);
 }
 
@@ -19689,38 +20492,38 @@ return XPtrTorchTensor(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensor cpp_torch_namespace_to_sparse_out_out_Tensor_self_Tensor_sparse_dim_int64_t (XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchint64_t sparse_dim) {
-  auto r_out = lantern_to_sparse_out_tensor_tensor_intt(out.get(), self.get(), sparse_dim.get());
+XPtrTorchTensor cpp_torch_namespace__to_sparse_out_out_Tensor_self_Tensor_sparse_dim_int64_t (XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchint64_t sparse_dim) {
+  auto r_out = lantern__to_sparse_out_tensor_tensor_intt(out.get(), self.get(), sparse_dim.get());
 return XPtrTorchTensor(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensor cpp_torch_namespace_to_sparse_out_out_Tensor_self_Tensor (XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchLayout layout, XPtrTorchOptionalIntArrayRef blocksize, XPtrTorchoptional_int64_t dense_dim) {
-  auto r_out = lantern_to_sparse_out_tensor_tensor_layout_intarrayref_intt(out.get(), self.get(), layout.get(), blocksize.get(), dense_dim.get());
+XPtrTorchTensor cpp_torch_namespace__to_sparse_out_out_Tensor_self_Tensor (XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchLayout layout, XPtrTorchOptionalIntArrayRef blocksize, XPtrTorchoptional_int64_t dense_dim) {
+  auto r_out = lantern__to_sparse_out_tensor_tensor_layout_intarrayref_intt(out.get(), self.get(), layout.get(), blocksize.get(), dense_dim.get());
 return XPtrTorchTensor(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensor cpp_torch_namespace_to_sparse_csr_out_out_Tensor_self_Tensor (XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchoptional_int64_t dense_dim) {
-  auto r_out = lantern_to_sparse_csr_out_tensor_tensor_intt(out.get(), self.get(), dense_dim.get());
+XPtrTorchTensor cpp_torch_namespace__to_sparse_csr_out_out_Tensor_self_Tensor (XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchoptional_int64_t dense_dim) {
+  auto r_out = lantern__to_sparse_csr_out_tensor_tensor_intt(out.get(), self.get(), dense_dim.get());
 return XPtrTorchTensor(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensor cpp_torch_namespace_to_sparse_csc_out_out_Tensor_self_Tensor (XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchoptional_int64_t dense_dim) {
-  auto r_out = lantern_to_sparse_csc_out_tensor_tensor_intt(out.get(), self.get(), dense_dim.get());
+XPtrTorchTensor cpp_torch_namespace__to_sparse_csc_out_out_Tensor_self_Tensor (XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchoptional_int64_t dense_dim) {
+  auto r_out = lantern__to_sparse_csc_out_tensor_tensor_intt(out.get(), self.get(), dense_dim.get());
 return XPtrTorchTensor(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensor cpp_torch_namespace_to_sparse_bsr_out_out_Tensor_self_Tensor_blocksize_IntArrayRef (XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchIntArrayRef blocksize, XPtrTorchoptional_int64_t dense_dim) {
-  auto r_out = lantern_to_sparse_bsr_out_tensor_tensor_intarrayref_intt(out.get(), self.get(), blocksize.get(), dense_dim.get());
+XPtrTorchTensor cpp_torch_namespace__to_sparse_bsr_out_out_Tensor_self_Tensor_blocksize_IntArrayRef (XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchIntArrayRef blocksize, XPtrTorchoptional_int64_t dense_dim) {
+  auto r_out = lantern__to_sparse_bsr_out_tensor_tensor_intarrayref_intt(out.get(), self.get(), blocksize.get(), dense_dim.get());
 return XPtrTorchTensor(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensor cpp_torch_namespace_to_sparse_bsc_out_out_Tensor_self_Tensor_blocksize_IntArrayRef (XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchIntArrayRef blocksize, XPtrTorchoptional_int64_t dense_dim) {
-  auto r_out = lantern_to_sparse_bsc_out_tensor_tensor_intarrayref_intt(out.get(), self.get(), blocksize.get(), dense_dim.get());
+XPtrTorchTensor cpp_torch_namespace__to_sparse_bsc_out_out_Tensor_self_Tensor_blocksize_IntArrayRef (XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchIntArrayRef blocksize, XPtrTorchoptional_int64_t dense_dim) {
+  auto r_out = lantern__to_sparse_bsc_out_tensor_tensor_intarrayref_intt(out.get(), self.get(), blocksize.get(), dense_dim.get());
 return XPtrTorchTensor(r_out);
 }
 
@@ -19737,8 +20540,8 @@ return XPtrTorchTensor(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensor cpp_torch_namespace_mkldnn_reorder_conv3d_weight_out_out_Tensor_self_Tensor (XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchIntArrayRef padding, XPtrTorchIntArrayRef stride, XPtrTorchIntArrayRef dilation, XPtrTorchint64_t groups) {
-  auto r_out = lantern_mkldnn_reorder_conv3d_weight_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intt(out.get(), self.get(), padding.get(), stride.get(), dilation.get(), groups.get());
+XPtrTorchTensor cpp_torch_namespace_mkldnn_reorder_conv3d_weight_out_out_Tensor_self_Tensor (XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchIntArrayRef padding, XPtrTorchIntArrayRef stride, XPtrTorchIntArrayRef dilation, XPtrTorchint64_t groups, XPtrTorchOptionalIntArrayRef input_size) {
+  auto r_out = lantern_mkldnn_reorder_conv3d_weight_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intt_intarrayref(out.get(), self.get(), padding.get(), stride.get(), dilation.get(), groups.get(), input_size.get());
 return XPtrTorchTensor(r_out);
 }
 
@@ -19873,7 +20676,7 @@ return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPt
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace_lstm_mps_backward_out_out0_Tensor_out1_TensorList_out2_TensorList_grad_y_Tensor_grad_hy_Tensor_grad_cy_Tensor_z_state_Tensor_cell_state_fwd_Tensor_input_Tensor_layersOutputs_Tensor_hx_TensorList_params_TensorList_has_biases_bool_num_layers_int64_t_dropout_double_train_bool_bidirectional_bool_batch_first_bool (XPtrTorchTensor out0, XPtrTorchTensorList out1, XPtrTorchTensorList out2, XPtrTorchTensor grad_y, XPtrTorchOptionalTensor grad_hy, XPtrTorchOptionalTensor grad_cy, XPtrTorchTensor z_state, XPtrTorchTensor cell_state_fwd, XPtrTorchTensor input, XPtrTorchTensor layersOutputs, XPtrTorchTensorList hx, XPtrTorchTensorList params, XPtrTorchbool has_biases, XPtrTorchint64_t num_layers, XPtrTorchdouble dropout, XPtrTorchbool train, XPtrTorchbool bidirectional, XPtrTorchbool batch_first) {
+void cpp_torch_namespace_lstm_mps_backward_out_out0_Tensor_out1_TensorList_out2_TensorList_grad_y_Tensor_grad_hy_Tensor_grad_cy_Tensor_z_state_Tensor_cell_state_fwd_Tensor_input_Tensor_layersOutputs_Tensor_hx_TensorList_params_TensorList_has_biases_bool_num_layers_int64_t_dropout_double_train_bool_bidirectional_bool_batch_first_bool (XPtrTorchTensor out0, XPtrTorchTensorList out1, XPtrTorchTensorList out2, XPtrTorchOptionalTensor grad_y, XPtrTorchOptionalTensor grad_hy, XPtrTorchOptionalTensor grad_cy, XPtrTorchTensor z_state, XPtrTorchTensor cell_state_fwd, XPtrTorchTensor input, XPtrTorchTensor layersOutputs, XPtrTorchTensorList hx, XPtrTorchTensorList params, XPtrTorchbool has_biases, XPtrTorchint64_t num_layers, XPtrTorchdouble dropout, XPtrTorchbool train, XPtrTorchbool bidirectional, XPtrTorchbool batch_first) {
   lantern_lstm_mps_backward_out_tensor_tensorlist_tensorlist_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensorlist_tensorlist_bool_intt_double_bool_bool_bool(out0.get(), out1.get(), out2.get(), grad_y.get(), grad_hy.get(), grad_cy.get(), z_state.get(), cell_state_fwd.get(), input.get(), layersOutputs.get(), hx.get(), params.get(), has_biases.get(), num_layers.get(), dropout.get(), train.get(), bidirectional.get(), batch_first.get());
 }
 
@@ -20223,12 +21026,6 @@ XPtrTorchTensor cpp_torch_namespace_remainder_out_out_Tensor_self_Scalar_other_T
 return XPtrTorchTensor(r_out);
 }
 
-// [[Rcpp::export(rng=false)]]
-XPtrTorchTensor cpp_torch_namespace_argsort_out_out_Tensor_self_Tensor_stable_bool (XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchbool stable, XPtrTorchindex_int64_t dim, XPtrTorchbool descending) {
-  auto r_out = lantern_argsort_out_tensor_tensor_bool_intt_bool(out.get(), self.get(), stable.get(), dim.get(), descending.get());
-return XPtrTorchTensor(r_out);
-}
-
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_namespace_unfold_backward_out_out_Tensor_grad_in_Tensor_input_sizes_IntArrayRef_dim_int64_t_size_int64_t_step_int64_t (XPtrTorchTensor out, XPtrTorchTensor grad_in, XPtrTorchIntArrayRef input_sizes, XPtrTorchindex_int64_t dim, XPtrTorchint64_t size, XPtrTorchint64_t step) {
   auto r_out = lantern_unfold_backward_out_tensor_tensor_intarrayref_intt_intt_intt(out.get(), grad_in.get(), input_sizes.get(), dim.get(), size.get(), step.get());
@@ -20272,98 +21069,98 @@ void cpp_torch_namespace__foreach_add_out_out_TensorList_self_TensorList_scalar_
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_scalar_Scalar (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchScalar scalar) {
-  lantern__foreach_sub_out_tensorlist_tensorlist_scalar(out.get(), self.get(), scalar.get());
+void cpp_torch_namespace__foreach_add_out_out_TensorList_self_TensorList_other_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList other, XPtrTorchScalar alpha) {
+  lantern__foreach_add_out_tensorlist_tensorlist_tensorlist_scalar(out.get(), self.get(), other.get(), alpha.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_scalar_Scalar (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchScalar scalar) {
-  lantern__foreach_mul_out_tensorlist_tensorlist_scalar(out.get(), self.get(), scalar.get());
+void cpp_torch_namespace__foreach_add_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars) {
+  lantern__foreach_add_out_tensorlist_tensorlist_arrayrefscalar(out.get(), self.get(), scalars.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_scalar_Scalar (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchScalar scalar) {
-  lantern__foreach_div_out_tensorlist_tensorlist_scalar(out.get(), self.get(), scalar.get());
+void cpp_torch_namespace__foreach_add_out_out_TensorList_self_TensorList_other_Tensor (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensor other, XPtrTorchScalar alpha) {
+  lantern__foreach_add_out_tensorlist_tensorlist_tensor_scalar(out.get(), self.get(), other.get(), alpha.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_scalar_Scalar (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchScalar scalar) {
-  lantern__foreach_clamp_min_out_tensorlist_tensorlist_scalar(out.get(), self.get(), scalar.get());
+void cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_scalar_Scalar (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchScalar scalar) {
+  lantern__foreach_sub_out_tensorlist_tensorlist_scalar(out.get(), self.get(), scalar.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_scalar_Scalar (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchScalar scalar) {
-  lantern__foreach_clamp_max_out_tensorlist_tensorlist_scalar(out.get(), self.get(), scalar.get());
+void cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_other_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList other, XPtrTorchScalar alpha) {
+  lantern__foreach_sub_out_tensorlist_tensorlist_tensorlist_scalar(out.get(), self.get(), other.get(), alpha.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_maximum_out_out_TensorList_self_TensorList_scalar_Scalar (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchScalar scalar) {
-  lantern__foreach_maximum_out_tensorlist_tensorlist_scalar(out.get(), self.get(), scalar.get());
+void cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars) {
+  lantern__foreach_sub_out_tensorlist_tensorlist_arrayrefscalar(out.get(), self.get(), scalars.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_minimum_out_out_TensorList_self_TensorList_scalar_Scalar (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchScalar scalar) {
-  lantern__foreach_minimum_out_tensorlist_tensorlist_scalar(out.get(), self.get(), scalar.get());
+void cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_scalar_Scalar (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchScalar scalar) {
+  lantern__foreach_mul_out_tensorlist_tensorlist_scalar(out.get(), self.get(), scalar.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_add_out_out_TensorList_self_TensorList_other_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList other, XPtrTorchScalar alpha) {
-  lantern__foreach_add_out_tensorlist_tensorlist_tensorlist_scalar(out.get(), self.get(), other.get(), alpha.get());
+void cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_other_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList other) {
+  lantern__foreach_mul_out_tensorlist_tensorlist_tensorlist(out.get(), self.get(), other.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_other_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList other, XPtrTorchScalar alpha) {
-  lantern__foreach_sub_out_tensorlist_tensorlist_tensorlist_scalar(out.get(), self.get(), other.get(), alpha.get());
+void cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars) {
+  lantern__foreach_mul_out_tensorlist_tensorlist_arrayrefscalar(out.get(), self.get(), scalars.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_other_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList other) {
-  lantern__foreach_mul_out_tensorlist_tensorlist_tensorlist(out.get(), self.get(), other.get());
+void cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_other_Tensor (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensor other) {
+  lantern__foreach_mul_out_tensorlist_tensorlist_tensor(out.get(), self.get(), other.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_other_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList other) {
-  lantern__foreach_div_out_tensorlist_tensorlist_tensorlist(out.get(), self.get(), other.get());
+void cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_scalar_Scalar (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchScalar scalar) {
+  lantern__foreach_div_out_tensorlist_tensorlist_scalar(out.get(), self.get(), scalar.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_other_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList other) {
-  lantern__foreach_clamp_min_out_tensorlist_tensorlist_tensorlist(out.get(), self.get(), other.get());
+void cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_other_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList other) {
+  lantern__foreach_div_out_tensorlist_tensorlist_tensorlist(out.get(), self.get(), other.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_other_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList other) {
-  lantern__foreach_clamp_max_out_tensorlist_tensorlist_tensorlist(out.get(), self.get(), other.get());
+void cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars) {
+  lantern__foreach_div_out_tensorlist_tensorlist_arrayrefscalar(out.get(), self.get(), scalars.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_maximum_out_out_TensorList_self_TensorList_other_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList other) {
-  lantern__foreach_maximum_out_tensorlist_tensorlist_tensorlist(out.get(), self.get(), other.get());
+void cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_other_Tensor (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensor other) {
+  lantern__foreach_div_out_tensorlist_tensorlist_tensor(out.get(), self.get(), other.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_minimum_out_out_TensorList_self_TensorList_other_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList other) {
-  lantern__foreach_minimum_out_tensorlist_tensorlist_tensorlist(out.get(), self.get(), other.get());
+void cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_scalar_Scalar (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchScalar scalar) {
+  lantern__foreach_clamp_max_out_tensorlist_tensorlist_scalar(out.get(), self.get(), scalar.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_add_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars) {
-  lantern__foreach_add_out_tensorlist_tensorlist_arrayrefscalar(out.get(), self.get(), scalars.get());
+void cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_other_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList other) {
+  lantern__foreach_clamp_max_out_tensorlist_tensorlist_tensorlist(out.get(), self.get(), other.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_sub_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars) {
-  lantern__foreach_sub_out_tensorlist_tensorlist_arrayrefscalar(out.get(), self.get(), scalars.get());
+void cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars) {
+  lantern__foreach_clamp_max_out_tensorlist_tensorlist_arrayrefscalar(out.get(), self.get(), scalars.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_div_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars) {
-  lantern__foreach_div_out_tensorlist_tensorlist_arrayrefscalar(out.get(), self.get(), scalars.get());
+void cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_scalar_Scalar (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchScalar scalar) {
+  lantern__foreach_clamp_min_out_tensorlist_tensorlist_scalar(out.get(), self.get(), scalar.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_mul_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars) {
-  lantern__foreach_mul_out_tensorlist_tensorlist_arrayrefscalar(out.get(), self.get(), scalars.get());
+void cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_other_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList other) {
+  lantern__foreach_clamp_min_out_tensorlist_tensorlist_tensorlist(out.get(), self.get(), other.get());
 }
 
 // [[Rcpp::export(rng=false)]]
@@ -20372,8 +21169,13 @@ void cpp_torch_namespace__foreach_clamp_min_out_out_TensorList_self_TensorList_s
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_clamp_max_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars) {
-  lantern__foreach_clamp_max_out_tensorlist_tensorlist_arrayrefscalar(out.get(), self.get(), scalars.get());
+void cpp_torch_namespace__foreach_maximum_out_out_TensorList_self_TensorList_scalar_Scalar (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchScalar scalar) {
+  lantern__foreach_maximum_out_tensorlist_tensorlist_scalar(out.get(), self.get(), scalar.get());
+}
+
+// [[Rcpp::export(rng=false)]]
+void cpp_torch_namespace__foreach_maximum_out_out_TensorList_self_TensorList_other_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList other) {
+  lantern__foreach_maximum_out_tensorlist_tensorlist_tensorlist(out.get(), self.get(), other.get());
 }
 
 // [[Rcpp::export(rng=false)]]
@@ -20381,30 +21183,49 @@ void cpp_torch_namespace__foreach_maximum_out_out_TensorList_self_TensorList_sca
   lantern__foreach_maximum_out_tensorlist_tensorlist_arrayrefscalar(out.get(), self.get(), scalars.get());
 }
 
+// [[Rcpp::export(rng=false)]]
+void cpp_torch_namespace__foreach_minimum_out_out_TensorList_self_TensorList_scalar_Scalar (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchScalar scalar) {
+  lantern__foreach_minimum_out_tensorlist_tensorlist_scalar(out.get(), self.get(), scalar.get());
+}
+
+// [[Rcpp::export(rng=false)]]
+void cpp_torch_namespace__foreach_minimum_out_out_TensorList_self_TensorList_other_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList other) {
+  lantern__foreach_minimum_out_tensorlist_tensorlist_tensorlist(out.get(), self.get(), other.get());
+}
+
 // [[Rcpp::export(rng=false)]]
 void cpp_torch_namespace__foreach_minimum_out_out_TensorList_self_TensorList_scalars_ArrayRefScalar (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchvector_Scalar scalars) {
   lantern__foreach_minimum_out_tensorlist_tensorlist_arrayrefscalar(out.get(), self.get(), scalars.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_exp_out_out_TensorList_self_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self) {
-  lantern__foreach_exp_out_tensorlist_tensorlist(out.get(), self.get());
+void cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchScalar value) {
+  lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_scalar(out.get(), self.get(), tensor1.get(), tensor2.get(), value.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_zero_out_out_TensorList_self_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self) {
-  lantern__foreach_zero_out_tensorlist_tensorlist(out.get(), self.get());
+void cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchvector_Scalar scalars) {
+  lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_arrayrefscalar(out.get(), self.get(), tensor1.get(), tensor2.get(), scalars.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-XPtrTorchTensorList cpp_torch_namespace__foreach_zero_self_TensorList (XPtrTorchTensorList self) {
-  auto r_out = lantern__foreach_zero_tensorlist(self.get());
-return XPtrTorchTensorList(r_out);
+void cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchTensor scalars) {
+  lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_tensor(out.get(), self.get(), tensor1.get(), tensor2.get(), scalars.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_sqrt_out_out_TensorList_self_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self) {
-  lantern__foreach_sqrt_out_tensorlist_tensorlist(out.get(), self.get());
+void cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchScalar value) {
+  lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_scalar(out.get(), self.get(), tensor1.get(), tensor2.get(), value.get());
+}
+
+// [[Rcpp::export(rng=false)]]
+void cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchvector_Scalar scalars) {
+  lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_arrayrefscalar(out.get(), self.get(), tensor1.get(), tensor2.get(), scalars.get());
+}
+
+// [[Rcpp::export(rng=false)]]
+void cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchTensor scalars) {
+  lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_tensor(out.get(), self.get(), tensor1.get(), tensor2.get(), scalars.get());
 }
 
 // [[Rcpp::export(rng=false)]]
@@ -20452,6 +21273,11 @@ void cpp_torch_namespace__foreach_erfc_out_out_TensorList_self_TensorList (XPtrT
   lantern__foreach_erfc_out_tensorlist_tensorlist(out.get(), self.get());
 }
 
+// [[Rcpp::export(rng=false)]]
+void cpp_torch_namespace__foreach_exp_out_out_TensorList_self_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self) {
+  lantern__foreach_exp_out_tensorlist_tensorlist(out.get(), self.get());
+}
+
 // [[Rcpp::export(rng=false)]]
 void cpp_torch_namespace__foreach_expm1_out_out_TensorList_self_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self) {
   lantern__foreach_expm1_out_tensorlist_tensorlist(out.get(), self.get());
@@ -20462,6 +21288,26 @@ void cpp_torch_namespace__foreach_floor_out_out_TensorList_self_TensorList (XPtr
   lantern__foreach_floor_out_tensorlist_tensorlist(out.get(), self.get());
 }
 
+// [[Rcpp::export(rng=false)]]
+void cpp_torch_namespace__foreach_frac_out_out_TensorList_self_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self) {
+  lantern__foreach_frac_out_tensorlist_tensorlist(out.get(), self.get());
+}
+
+// [[Rcpp::export(rng=false)]]
+void cpp_torch_namespace__foreach_lerp_out_out_TensorList_self_TensorList_tensors1_TensorList_weights_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList tensors1, XPtrTorchTensorList weights) {
+  lantern__foreach_lerp_out_tensorlist_tensorlist_tensorlist_tensorlist(out.get(), self.get(), tensors1.get(), weights.get());
+}
+
+// [[Rcpp::export(rng=false)]]
+void cpp_torch_namespace__foreach_lerp_out_out_TensorList_self_TensorList_tensors1_TensorList_weight_Scalar (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList tensors1, XPtrTorchScalar weight) {
+  lantern__foreach_lerp_out_tensorlist_tensorlist_tensorlist_scalar(out.get(), self.get(), tensors1.get(), weight.get());
+}
+
+// [[Rcpp::export(rng=false)]]
+void cpp_torch_namespace__foreach_lgamma_out_out_TensorList_self_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self) {
+  lantern__foreach_lgamma_out_tensorlist_tensorlist(out.get(), self.get());
+}
+
 // [[Rcpp::export(rng=false)]]
 void cpp_torch_namespace__foreach_log_out_out_TensorList_self_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self) {
   lantern__foreach_log_out_tensorlist_tensorlist(out.get(), self.get());
@@ -20483,48 +21329,43 @@ void cpp_torch_namespace__foreach_log2_out_out_TensorList_self_TensorList (XPtrT
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_neg_out_out_TensorList_self_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self) {
-  lantern__foreach_neg_out_tensorlist_tensorlist(out.get(), self.get());
-}
-
-// [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_tan_out_out_TensorList_self_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self) {
-  lantern__foreach_tan_out_tensorlist_tensorlist(out.get(), self.get());
+void cpp_torch_namespace__foreach_max_out_out_TensorList_self_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self) {
+  lantern__foreach_max_out_tensorlist_tensorlist(out.get(), self.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_tanh_out_out_TensorList_self_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self) {
-  lantern__foreach_tanh_out_tensorlist_tensorlist(out.get(), self.get());
+void cpp_torch_namespace__foreach_neg_out_out_TensorList_self_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self) {
+  lantern__foreach_neg_out_tensorlist_tensorlist(out.get(), self.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_sin_out_out_TensorList_self_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self) {
-  lantern__foreach_sin_out_tensorlist_tensorlist(out.get(), self.get());
+void cpp_torch_namespace__foreach_norm_out_out_TensorList_self_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchScalar ord, XPtrTorchoptional_scalar_type dtype) {
+  lantern__foreach_norm_out_tensorlist_tensorlist_scalar_scalartype(out.get(), self.get(), ord.get(), dtype.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_sinh_out_out_TensorList_self_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self) {
-  lantern__foreach_sinh_out_tensorlist_tensorlist(out.get(), self.get());
+void cpp_torch_namespace__foreach_pow_out_out_TensorList_self_TensorList_exponent_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList exponent) {
+  lantern__foreach_pow_out_tensorlist_tensorlist_tensorlist(out.get(), self.get(), exponent.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_round_out_out_TensorList_self_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self) {
-  lantern__foreach_round_out_tensorlist_tensorlist(out.get(), self.get());
+void cpp_torch_namespace__foreach_pow_out_out_TensorList_self_TensorList_exponent_Scalar (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchScalar exponent) {
+  lantern__foreach_pow_out_tensorlist_tensorlist_scalar(out.get(), self.get(), exponent.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_lgamma_out_out_TensorList_self_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self) {
-  lantern__foreach_lgamma_out_tensorlist_tensorlist(out.get(), self.get());
+void cpp_torch_namespace__foreach_pow_out_out_TensorList_self_TensorList_exponent_ArrayRefScalar (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchvector_Scalar exponent) {
+  lantern__foreach_pow_out_tensorlist_tensorlist_arrayrefscalar(out.get(), self.get(), exponent.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_frac_out_out_TensorList_self_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self) {
-  lantern__foreach_frac_out_tensorlist_tensorlist(out.get(), self.get());
+void cpp_torch_namespace__foreach_reciprocal_out_out_TensorList_self_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self) {
+  lantern__foreach_reciprocal_out_tensorlist_tensorlist(out.get(), self.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_reciprocal_out_out_TensorList_self_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self) {
-  lantern__foreach_reciprocal_out_tensorlist_tensorlist(out.get(), self.get());
+void cpp_torch_namespace__foreach_round_out_out_TensorList_self_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self) {
+  lantern__foreach_round_out_tensorlist_tensorlist(out.get(), self.get());
 }
 
 // [[Rcpp::export(rng=false)]]
@@ -20533,53 +21374,54 @@ void cpp_torch_namespace__foreach_sigmoid_out_out_TensorList_self_TensorList (XP
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_trunc_out_out_TensorList_self_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self) {
-  lantern__foreach_trunc_out_tensorlist_tensorlist(out.get(), self.get());
+void cpp_torch_namespace__foreach_sign_out_out_TensorList_self_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self) {
+  lantern__foreach_sign_out_tensorlist_tensorlist(out.get(), self.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchScalar value) {
-  lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_scalar(out.get(), self.get(), tensor1.get(), tensor2.get(), value.get());
+void cpp_torch_namespace__foreach_sin_out_out_TensorList_self_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self) {
+  lantern__foreach_sin_out_tensorlist_tensorlist(out.get(), self.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchScalar value) {
-  lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_scalar(out.get(), self.get(), tensor1.get(), tensor2.get(), value.get());
+void cpp_torch_namespace__foreach_sinh_out_out_TensorList_self_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self) {
+  lantern__foreach_sinh_out_tensorlist_tensorlist(out.get(), self.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchvector_Scalar scalars) {
-  lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_arrayrefscalar(out.get(), self.get(), tensor1.get(), tensor2.get(), scalars.get());
+void cpp_torch_namespace__foreach_sqrt_out_out_TensorList_self_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self) {
+  lantern__foreach_sqrt_out_tensorlist_tensorlist(out.get(), self.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_addcdiv_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchTensor scalars) {
-  lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_tensor(out.get(), self.get(), tensor1.get(), tensor2.get(), scalars.get());
+void cpp_torch_namespace__foreach_tan_out_out_TensorList_self_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self) {
+  lantern__foreach_tan_out_tensorlist_tensorlist(out.get(), self.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_ArrayRefScalar (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchvector_Scalar scalars) {
-  lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_arrayrefscalar(out.get(), self.get(), tensor1.get(), tensor2.get(), scalars.get());
+void cpp_torch_namespace__foreach_tanh_out_out_TensorList_self_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self) {
+  lantern__foreach_tanh_out_tensorlist_tensorlist(out.get(), self.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_addcmul_out_out_TensorList_self_TensorList_tensor1_TensorList_tensor2_TensorList_scalars_Tensor (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList tensor1, XPtrTorchTensorList tensor2, XPtrTorchTensor scalars) {
-  lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_tensor(out.get(), self.get(), tensor1.get(), tensor2.get(), scalars.get());
+void cpp_torch_namespace__foreach_trunc_out_out_TensorList_self_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self) {
+  lantern__foreach_trunc_out_tensorlist_tensorlist(out.get(), self.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_norm_out_out_TensorList_self_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchScalar ord) {
-  lantern__foreach_norm_out_tensorlist_tensorlist_scalar(out.get(), self.get(), ord.get());
+void cpp_torch_namespace__foreach_zero_out_out_TensorList_self_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self) {
+  lantern__foreach_zero_out_tensorlist_tensorlist(out.get(), self.get());
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_lerp_out_out_TensorList_self_TensorList_tensors1_TensorList_weights_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList tensors1, XPtrTorchTensorList weights) {
-  lantern__foreach_lerp_out_tensorlist_tensorlist_tensorlist_tensorlist(out.get(), self.get(), tensors1.get(), weights.get());
+XPtrTorchTensorList cpp_torch_namespace__foreach_zero_self_TensorList (XPtrTorchTensorList self) {
+  auto r_out = lantern__foreach_zero_tensorlist(self.get());
+return XPtrTorchTensorList(r_out);
 }
 
 // [[Rcpp::export(rng=false)]]
-void cpp_torch_namespace__foreach_lerp_out_out_TensorList_self_TensorList_tensors1_TensorList_weight_Scalar (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList tensors1, XPtrTorchScalar weight) {
-  lantern__foreach_lerp_out_tensorlist_tensorlist_tensorlist_scalar(out.get(), self.get(), tensors1.get(), weight.get());
+void cpp_torch_namespace__foreach_copy_out_out_TensorList_self_TensorList_src_TensorList (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList src, XPtrTorchbool non_blocking) {
+  lantern__foreach_copy_out_tensorlist_tensorlist_tensorlist_bool(out.get(), self.get(), src.get(), non_blocking.get());
 }
 
 // [[Rcpp::export(rng=false)]]
@@ -20588,12 +21430,6 @@ XPtrTorchTensor cpp_torch_namespace_bucketize_out_out_Tensor_self_Scalar_boundar
 return XPtrTorchTensor(r_out);
 }
 
-// [[Rcpp::export(rng=false)]]
-XPtrTorchTensor cpp_torch_namespace_searchsorted_out_out_Tensor_sorted_sequence_Tensor_self_Scalar (XPtrTorchTensor out, XPtrTorchTensor sorted_sequence, XPtrTorchScalar self, XPtrTorchbool out_int32, XPtrTorchbool right, XPtrTorchoptional_string_view side, XPtrTorchOptionalTensor sorter) {
-  auto r_out = lantern_searchsorted_out_tensor_tensor_scalar_bool_bool_cstringview_tensor(out.get(), sorted_sequence.get(), self.get(), out_int32.get(), right.get(), side.get(), sorter.get());
-return XPtrTorchTensor(r_out);
-}
-
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_namespace_glu_jvp_out_out_Tensor_glu_Tensor_x_Tensor_dx_Tensor_dim_int64_t (XPtrTorchTensor out, XPtrTorchTensor glu, XPtrTorchTensor x, XPtrTorchTensor dx, XPtrTorchindex_int64_t dim) {
   auto r_out = lantern_glu_jvp_out_tensor_tensor_tensor_tensor_intt(out.get(), glu.get(), x.get(), dx.get(), dim.get());
@@ -20968,20 +21804,6 @@ XPtrTorchTensor cpp_torch_namespace__triton_multi_head_attention_out_out_Tensor_
 return XPtrTorchTensor(r_out);
 }
 
-// [[Rcpp::export(rng=false)]]
-Rcpp::List cpp_torch_namespace__transformer_decoder_only_layer_fwd_out_out0_Tensor_out1_Tensor_out2_Tensor_src_Tensor_embed_dim_int64_t_num_heads_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor_use_gelu_bool_norm_first_bool_eps_double_norm_weight_1_Tensor_norm_bias_1_Tensor_norm_weight_2_Tensor_norm_bias_2_Tensor_ffn_weight_1_Tensor_ffn_bias_1_Tensor_ffn_weight_2_Tensor_ffn_bias_2_Tensor (XPtrTorchTensor out0, XPtrTorchTensor out1, XPtrTorchTensor out2, XPtrTorchTensor src, XPtrTorchint64_t embed_dim, XPtrTorchint64_t num_heads, XPtrTorchTensor qkv_weight, XPtrTorchTensor qkv_bias, XPtrTorchTensor proj_weight, XPtrTorchTensor proj_bias, XPtrTorchbool use_gelu, XPtrTorchbool norm_first, XPtrTorchdouble eps, XPtrTorchTensor norm_weight_1, XPtrTorchTensor norm_bias_1, XPtrTorchTensor norm_weight_2, XPtrTorchTensor norm_bias_2, XPtrTorchTensor ffn_weight_1, XPtrTorchTensor ffn_bias_1, XPtrTorchTensor ffn_weight_2, XPtrTorchTensor ffn_bias_2, XPtrTorchOptionalTensor mask, XPtrTorchOptionalTensor incr_key, XPtrTorchOptionalTensor incr_value) {
-  auto r_out = lantern__transformer_decoder_only_layer_fwd_out_tensor_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_bool_bool_double_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor(out0.get(), out1.get(), out2.get(), src.get(), embed_dim.get(), num_heads.get(), qkv_weight.get(), qkv_bias.get(), proj_weight.get(), proj_bias.get(), use_gelu.get(), norm_first.get(), eps.get(), norm_weight_1.get(), norm_bias_1.get(), norm_weight_2.get(), norm_bias_2.get(), ffn_weight_1.get(), ffn_bias_1.get(), ffn_weight_2.get(), ffn_bias_2.get(), mask.get(), incr_key.get(), incr_value.get());
-auto wrap = XPtrTorchvector_void(r_out);
-return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 1)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 2)));
-}
-
-// [[Rcpp::export(rng=false)]]
-Rcpp::List cpp_torch_namespace__native_decoder_only_multi_head_attention_out_out0_Tensor_out1_Tensor_out2_Tensor_out3_Tensor_query_Tensor_key_Tensor_value_Tensor_embed_dim_int64_t_num_head_int64_t_qkv_weight_Tensor_qkv_bias_Tensor_proj_weight_Tensor_proj_bias_Tensor (XPtrTorchTensor out0, XPtrTorchTensor out1, XPtrTorchTensor out2, XPtrTorchTensor out3, XPtrTorchTensor query, XPtrTorchTensor key, XPtrTorchTensor value, XPtrTorchint64_t embed_dim, XPtrTorchint64_t num_head, XPtrTorchTensor qkv_weight, XPtrTorchTensor qkv_bias, XPtrTorchTensor proj_weight, XPtrTorchTensor proj_bias, XPtrTorchOptionalTensor mask, XPtrTorchOptionalTensor incr_key, XPtrTorchOptionalTensor incr_value, XPtrTorchbool need_weights, XPtrTorchbool average_attn_weights) {
-  auto r_out = lantern__native_decoder_only_multi_head_attention_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_bool(out0.get(), out1.get(), out2.get(), out3.get(), query.get(), key.get(), value.get(), embed_dim.get(), num_head.get(), qkv_weight.get(), qkv_bias.get(), proj_weight.get(), proj_bias.get(), mask.get(), incr_key.get(), incr_value.get(), need_weights.get(), average_attn_weights.get());
-auto wrap = XPtrTorchvector_void(r_out);
-return Rcpp::List::create(XPtrTorchTensor(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 1)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 2)),XPtrTorchTensor(lantern_vector_get(wrap.get(), 3)));
-}
-
 // [[Rcpp::export(rng=false)]]
 XPtrTorchTensor cpp_torch_namespace__foobar_out_out_Tensor_self_Tensor (XPtrTorchTensor out, XPtrTorchTensor self, XPtrTorchbool arg1, XPtrTorchbool arg2, XPtrTorchbool arg3) {
   auto r_out = lantern__foobar_out_tensor_tensor_bool_bool_bool(out.get(), self.get(), arg1.get(), arg2.get(), arg3.get());
@@ -21000,6 +21822,18 @@ auto wrap = XPtrTorchvector_void(r_out);
 return Rcpp::List::create(XPtrTorchTensorList(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensorList(lantern_vector_get(wrap.get(), 1)),XPtrTorchTensorList(lantern_vector_get(wrap.get(), 2)),XPtrTorchTensorList(lantern_vector_get(wrap.get(), 3)),XPtrTorchTensorList(lantern_vector_get(wrap.get(), 4)));
 }
 
+// [[Rcpp::export(rng=false)]]
+void cpp_torch_namespace__fused_adam_out_out_TensorList_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList grads, XPtrTorchTensorList exp_avgs, XPtrTorchTensorList exp_avg_sqs, XPtrTorchTensorList max_exp_avg_sqs, XPtrTorchTensorList state_steps, XPtrTorchTensor lr, XPtrTorchdouble beta1, XPtrTorchdouble beta2, XPtrTorchdouble weight_decay, XPtrTorchdouble eps, XPtrTorchbool amsgrad, XPtrTorchbool maximize, XPtrTorchOptionalTensor grad_scale, XPtrTorchOptionalTensor found_inf) {
+  lantern__fused_adam_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor(out.get(), self.get(), grads.get(), exp_avgs.get(), exp_avg_sqs.get(), max_exp_avg_sqs.get(), state_steps.get(), lr.get(), beta1.get(), beta2.get(), weight_decay.get(), eps.get(), amsgrad.get(), maximize.get(), grad_scale.get(), found_inf.get());
+}
+
+// [[Rcpp::export(rng=false)]]
+Rcpp::List cpp_torch_namespace__fused_adam_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool (XPtrTorchTensorList self, XPtrTorchTensorList grads, XPtrTorchTensorList exp_avgs, XPtrTorchTensorList exp_avg_sqs, XPtrTorchTensorList max_exp_avg_sqs, XPtrTorchTensorList state_steps, XPtrTorchTensor lr, XPtrTorchdouble beta1, XPtrTorchdouble beta2, XPtrTorchdouble weight_decay, XPtrTorchdouble eps, XPtrTorchbool amsgrad, XPtrTorchbool maximize, XPtrTorchOptionalTensor grad_scale, XPtrTorchOptionalTensor found_inf) {
+  auto r_out = lantern__fused_adam_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor(self.get(), grads.get(), exp_avgs.get(), exp_avg_sqs.get(), max_exp_avg_sqs.get(), state_steps.get(), lr.get(), beta1.get(), beta2.get(), weight_decay.get(), eps.get(), amsgrad.get(), maximize.get(), grad_scale.get(), found_inf.get());
+auto wrap = XPtrTorchvector_void(r_out);
+return Rcpp::List::create(XPtrTorchTensorList(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensorList(lantern_vector_get(wrap.get(), 1)),XPtrTorchTensorList(lantern_vector_get(wrap.get(), 2)),XPtrTorchTensorList(lantern_vector_get(wrap.get(), 3)),XPtrTorchTensorList(lantern_vector_get(wrap.get(), 4)));
+}
+
 // [[Rcpp::export(rng=false)]]
 void cpp_torch_namespace__fused_adamw_out_out_TensorList_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_double_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList grads, XPtrTorchTensorList exp_avgs, XPtrTorchTensorList exp_avg_sqs, XPtrTorchTensorList max_exp_avg_sqs, XPtrTorchTensorList state_steps, XPtrTorchdouble lr, XPtrTorchdouble beta1, XPtrTorchdouble beta2, XPtrTorchdouble weight_decay, XPtrTorchdouble eps, XPtrTorchbool amsgrad, XPtrTorchbool maximize, XPtrTorchOptionalTensor grad_scale, XPtrTorchOptionalTensor found_inf) {
   lantern__fused_adamw_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor(out.get(), self.get(), grads.get(), exp_avgs.get(), exp_avg_sqs.get(), max_exp_avg_sqs.get(), state_steps.get(), lr.get(), beta1.get(), beta2.get(), weight_decay.get(), eps.get(), amsgrad.get(), maximize.get(), grad_scale.get(), found_inf.get());
@@ -21012,3 +21846,51 @@ auto wrap = XPtrTorchvector_void(r_out);
 return Rcpp::List::create(XPtrTorchTensorList(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensorList(lantern_vector_get(wrap.get(), 1)),XPtrTorchTensorList(lantern_vector_get(wrap.get(), 2)),XPtrTorchTensorList(lantern_vector_get(wrap.get(), 3)),XPtrTorchTensorList(lantern_vector_get(wrap.get(), 4)));
 }
 
+// [[Rcpp::export(rng=false)]]
+void cpp_torch_namespace__fused_adamw_out_out_TensorList_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList grads, XPtrTorchTensorList exp_avgs, XPtrTorchTensorList exp_avg_sqs, XPtrTorchTensorList max_exp_avg_sqs, XPtrTorchTensorList state_steps, XPtrTorchTensor lr, XPtrTorchdouble beta1, XPtrTorchdouble beta2, XPtrTorchdouble weight_decay, XPtrTorchdouble eps, XPtrTorchbool amsgrad, XPtrTorchbool maximize, XPtrTorchOptionalTensor grad_scale, XPtrTorchOptionalTensor found_inf) {
+  lantern__fused_adamw_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor(out.get(), self.get(), grads.get(), exp_avgs.get(), exp_avg_sqs.get(), max_exp_avg_sqs.get(), state_steps.get(), lr.get(), beta1.get(), beta2.get(), weight_decay.get(), eps.get(), amsgrad.get(), maximize.get(), grad_scale.get(), found_inf.get());
+}
+
+// [[Rcpp::export(rng=false)]]
+Rcpp::List cpp_torch_namespace__fused_adamw_self_TensorList_grads_TensorList_exp_avgs_TensorList_exp_avg_sqs_TensorList_max_exp_avg_sqs_TensorList_state_steps_TensorList_lr_Tensor_beta1_double_beta2_double_weight_decay_double_eps_double_amsgrad_bool_maximize_bool (XPtrTorchTensorList self, XPtrTorchTensorList grads, XPtrTorchTensorList exp_avgs, XPtrTorchTensorList exp_avg_sqs, XPtrTorchTensorList max_exp_avg_sqs, XPtrTorchTensorList state_steps, XPtrTorchTensor lr, XPtrTorchdouble beta1, XPtrTorchdouble beta2, XPtrTorchdouble weight_decay, XPtrTorchdouble eps, XPtrTorchbool amsgrad, XPtrTorchbool maximize, XPtrTorchOptionalTensor grad_scale, XPtrTorchOptionalTensor found_inf) {
+  auto r_out = lantern__fused_adamw_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor(self.get(), grads.get(), exp_avgs.get(), exp_avg_sqs.get(), max_exp_avg_sqs.get(), state_steps.get(), lr.get(), beta1.get(), beta2.get(), weight_decay.get(), eps.get(), amsgrad.get(), maximize.get(), grad_scale.get(), found_inf.get());
+auto wrap = XPtrTorchvector_void(r_out);
+return Rcpp::List::create(XPtrTorchTensorList(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensorList(lantern_vector_get(wrap.get(), 1)),XPtrTorchTensorList(lantern_vector_get(wrap.get(), 2)),XPtrTorchTensorList(lantern_vector_get(wrap.get(), 3)),XPtrTorchTensorList(lantern_vector_get(wrap.get(), 4)));
+}
+
+// [[Rcpp::export(rng=false)]]
+void cpp_torch_namespace__fused_sgd_out_out_TensorList_self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_double_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList grads, XPtrTorchTensorList momentum_buffer_list, XPtrTorchdouble weight_decay, XPtrTorchdouble momentum, XPtrTorchdouble lr, XPtrTorchdouble dampening, XPtrTorchbool nesterov, XPtrTorchbool maximize, XPtrTorchbool is_first_step, XPtrTorchOptionalTensor grad_scale, XPtrTorchOptionalTensor found_inf) {
+  lantern__fused_sgd_out_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_bool_bool_tensor_tensor(out.get(), self.get(), grads.get(), momentum_buffer_list.get(), weight_decay.get(), momentum.get(), lr.get(), dampening.get(), nesterov.get(), maximize.get(), is_first_step.get(), grad_scale.get(), found_inf.get());
+}
+
+// [[Rcpp::export(rng=false)]]
+Rcpp::List cpp_torch_namespace__fused_sgd_self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_double_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool (XPtrTorchTensorList self, XPtrTorchTensorList grads, XPtrTorchTensorList momentum_buffer_list, XPtrTorchdouble weight_decay, XPtrTorchdouble momentum, XPtrTorchdouble lr, XPtrTorchdouble dampening, XPtrTorchbool nesterov, XPtrTorchbool maximize, XPtrTorchbool is_first_step, XPtrTorchOptionalTensor grad_scale, XPtrTorchOptionalTensor found_inf) {
+  auto r_out = lantern__fused_sgd_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_bool_bool_tensor_tensor(self.get(), grads.get(), momentum_buffer_list.get(), weight_decay.get(), momentum.get(), lr.get(), dampening.get(), nesterov.get(), maximize.get(), is_first_step.get(), grad_scale.get(), found_inf.get());
+auto wrap = XPtrTorchvector_void(r_out);
+return Rcpp::List::create(XPtrTorchTensorList(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensorList(lantern_vector_get(wrap.get(), 1)),XPtrTorchTensorList(lantern_vector_get(wrap.get(), 2)));
+}
+
+// [[Rcpp::export(rng=false)]]
+void cpp_torch_namespace__fused_sgd_out_out_TensorList_self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_Tensor_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList grads, XPtrTorchTensorList momentum_buffer_list, XPtrTorchdouble weight_decay, XPtrTorchdouble momentum, XPtrTorchTensor lr, XPtrTorchdouble dampening, XPtrTorchbool nesterov, XPtrTorchbool maximize, XPtrTorchbool is_first_step, XPtrTorchOptionalTensor grad_scale, XPtrTorchOptionalTensor found_inf) {
+  lantern__fused_sgd_out_tensorlist_tensorlist_tensorlist_tensorlist_double_double_tensor_double_bool_bool_bool_tensor_tensor(out.get(), self.get(), grads.get(), momentum_buffer_list.get(), weight_decay.get(), momentum.get(), lr.get(), dampening.get(), nesterov.get(), maximize.get(), is_first_step.get(), grad_scale.get(), found_inf.get());
+}
+
+// [[Rcpp::export(rng=false)]]
+Rcpp::List cpp_torch_namespace__fused_sgd_self_TensorList_grads_TensorList_momentum_buffer_list_TensorList_weight_decay_double_momentum_double_lr_Tensor_dampening_double_nesterov_bool_maximize_bool_is_first_step_bool (XPtrTorchTensorList self, XPtrTorchTensorList grads, XPtrTorchTensorList momentum_buffer_list, XPtrTorchdouble weight_decay, XPtrTorchdouble momentum, XPtrTorchTensor lr, XPtrTorchdouble dampening, XPtrTorchbool nesterov, XPtrTorchbool maximize, XPtrTorchbool is_first_step, XPtrTorchOptionalTensor grad_scale, XPtrTorchOptionalTensor found_inf) {
+  auto r_out = lantern__fused_sgd_tensorlist_tensorlist_tensorlist_double_double_tensor_double_bool_bool_bool_tensor_tensor(self.get(), grads.get(), momentum_buffer_list.get(), weight_decay.get(), momentum.get(), lr.get(), dampening.get(), nesterov.get(), maximize.get(), is_first_step.get(), grad_scale.get(), found_inf.get());
+auto wrap = XPtrTorchvector_void(r_out);
+return Rcpp::List::create(XPtrTorchTensorList(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensorList(lantern_vector_get(wrap.get(), 1)),XPtrTorchTensorList(lantern_vector_get(wrap.get(), 2)));
+}
+
+// [[Rcpp::export(rng=false)]]
+void cpp_torch_namespace__fused_adagrad_out_out_TensorList_self_TensorList_grads_TensorList_state_sums_TensorList_state_steps_TensorList_lr_double_lr_decay_double_weight_decay_double_eps_double_maximize_bool (XPtrTorchTensorList out, XPtrTorchTensorList self, XPtrTorchTensorList grads, XPtrTorchTensorList state_sums, XPtrTorchTensorList state_steps, XPtrTorchdouble lr, XPtrTorchdouble lr_decay, XPtrTorchdouble weight_decay, XPtrTorchdouble eps, XPtrTorchbool maximize, XPtrTorchOptionalTensor grad_scale, XPtrTorchOptionalTensor found_inf) {
+  lantern__fused_adagrad_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_tensor_tensor(out.get(), self.get(), grads.get(), state_sums.get(), state_steps.get(), lr.get(), lr_decay.get(), weight_decay.get(), eps.get(), maximize.get(), grad_scale.get(), found_inf.get());
+}
+
+// [[Rcpp::export(rng=false)]]
+Rcpp::List cpp_torch_namespace__fused_adagrad_self_TensorList_grads_TensorList_state_sums_TensorList_state_steps_TensorList_lr_double_lr_decay_double_weight_decay_double_eps_double_maximize_bool (XPtrTorchTensorList self, XPtrTorchTensorList grads, XPtrTorchTensorList state_sums, XPtrTorchTensorList state_steps, XPtrTorchdouble lr, XPtrTorchdouble lr_decay, XPtrTorchdouble weight_decay, XPtrTorchdouble eps, XPtrTorchbool maximize, XPtrTorchOptionalTensor grad_scale, XPtrTorchOptionalTensor found_inf) {
+  auto r_out = lantern__fused_adagrad_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_tensor_tensor(self.get(), grads.get(), state_sums.get(), state_steps.get(), lr.get(), lr_decay.get(), weight_decay.get(), eps.get(), maximize.get(), grad_scale.get(), found_inf.get());
+auto wrap = XPtrTorchvector_void(r_out);
+return Rcpp::List::create(XPtrTorchTensorList(lantern_vector_get(wrap.get(), 0)),XPtrTorchTensorList(lantern_vector_get(wrap.get(), 1)),XPtrTorchTensorList(lantern_vector_get(wrap.get(), 2)),XPtrTorchTensorList(lantern_vector_get(wrap.get(), 3)));
+}
+
diff --git a/src/lantern/CMakeLists.txt b/src/lantern/CMakeLists.txt
index f9c79e8de0..25539198fb 100644
--- a/src/lantern/CMakeLists.txt
+++ b/src/lantern/CMakeLists.txt
@@ -1,7 +1,7 @@
 cmake_minimum_required(VERSION 3.19.2)
 project(lantern)
 
-set(TORCH_VERSION "2.0.1")
+set(TORCH_VERSION "2.5.1")
 
 if (NOT DEFINED TORCH_PATH)
     if (DEFINED ENV{TORCH_PATH})
@@ -19,7 +19,7 @@ if (DEFINED ENV{CUDA} AND NOT "$ENV{CUDA}" STREQUAL "")
     message(STATUS "CUDA VERSION: $ENV{CUDA} | ${CUDA_VERSION} | ${CUDA_VERSION_NUMBER}")
     
     set(CAFFE2_USE_CUDNN 1)
-    set(ENV{TORCH_CUDA_ARCH_LIST} "3.7 5.0 5.2 6.0 6.1 7.0 7.5 8.0 8.6+PTX")
+    set(ENV{TORCH_CUDA_ARCH_LIST} "5.0 5.2 6.0 6.1 7.0 7.5 8.0 8.6 9.0+PTX")
 endif()
 
 
@@ -50,11 +50,7 @@ if (NOT EXISTS "${TORCH_PATH}")
         endif()
 
         if (APPLE)
-            if ('${CMAKE_HOST_SYSTEM_PROCESSOR}' STREQUAL 'x86_64')
-                set(TORCH_URL "https://download.pytorch.org/libtorch/cpu/libtorch-macos-${TORCH_VERSION}.zip")
-            elseif('${CMAKE_HOST_SYSTEM_PROCESSOR}' STREQUAL 'arm64')    
-                set(TORCH_URL "https://github.com/mlverse/libtorch-mac-m1/releases/download/LibTorch-for-R/libtorch-v${TORCH_VERSION}.zip")
-            endif()
+            set(TORCH_URL "https://github.com/mlverse/libtorch-mac-m1/releases/download/LibTorch-for-R/libtorch-${CMAKE_HOST_SYSTEM_PROCESSOR}-v${TORCH_VERSION}.zip")
         elseif(WIN32)
             if (DEFINED CUDA_VERSION_NUMBER)    
                 set(TORCH_URL "https://download.pytorch.org/libtorch/cu${CUDA_VERSION_NUMBER}/libtorch-win-shared-with-deps-${TORCH_VERSION}%2Bcu${CUDA_VERSION_NUMBER}.zip")
@@ -82,6 +78,21 @@ endif()
 if (DEFINED CUDA_VERSION_NUMBER)
     if (WIN32)
         find_package(CUDAToolkit)
+        # Workaround issue with PyTorch NVTX headers
+        # See https://discuss.pytorch.org/t/failed-to-find-nvtoolsext/179635/13?u=dfalbel
+        if(CUDA_VERSION_NUMBER VERSION_GREATER_EQUAL 12)
+            message(STATUS "PyTorch NVTX headers workaround: Yes")
+            # only do this if nvToolsExt is not defined and CUDA::nvtx3 exists
+            if(NOT TARGET CUDA::nvToolsExt AND TARGET CUDA::nvtx3)
+                add_library(CUDA::nvToolsExt INTERFACE IMPORTED)
+                # ensure that PyTorch is told to use NVTX3 headers
+                target_compile_definitions(
+                    CUDA::nvToolsExt INTERFACE
+                    TORCH_CUDA_USE_NVTX3
+                )
+                target_link_libraries(CUDA::nvToolsExt INTERFACE CUDA::nvtx3)
+            endif()
+        endif()
     endif()
     enable_language(CUDA)
     add_compile_definitions("CUDA${CUDA_VERSION_NUMBER}")
@@ -131,7 +142,7 @@ set(LANTERN_SRC
     src/Compile.cpp
     src/Amp.cpp
     src/JITExecute.cpp
-    src/Pickler.cpp
+    src/Unpickler.cpp
 )
 
 if(APPLE)
@@ -158,7 +169,7 @@ if(DEFINED ENV{CUDA} AND NOT '$ENV{CUDA}' STREQUAL '')
     set_property(TARGET lantern PROPERTY CUDA_SEPARABLE_COMPILATION ON)
     set_property(TARGET lantern PROPERTY CUDA_STANDARD 17)
   else()
-    set_property(TARGET lantern PROPERTY CUDA_STANDARD 14)
+    set_property(TARGET lantern PROPERTY CUDA_STANDARD 17)
   endif()
   
 else()
diff --git a/src/lantern/headers/declarations/declarations.yaml b/src/lantern/headers/declarations/declarations.yaml
index 88688e1499..eeed871255 100644
--- a/src/lantern/headers/declarations/declarations.yaml
+++ b/src/lantern/headers/declarations/declarations.yaml
@@ -396,20 +396,20 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: gradient
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     name: retain_graph
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
     name: create_graph
     type: bool
-  schema_order_cpp_signature: void (const at::Tensor &, at::TensorList, const c10::optional<at::Tensor> &, c10::optional<bool>, bool)
+  schema_order_cpp_signature: void (const at::Tensor &, at::TensorList, const ::std::optional<at::Tensor> &, ::std::optional<bool>, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -426,13 +426,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: gradient
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     name: retain_graph
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -1018,8 +1018,8 @@
     dynamic_type: at::DimnameList
     is_nullable: true
     name: names
-    type: c10::optional<at::DimnameList>
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, c10::optional<at::DimnameList>)
+    type: ::std::optional<at::DimnameList>
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, ::std::optional<at::DimnameList>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -1030,7 +1030,7 @@
     dynamic_type: at::DimnameList
     is_nullable: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   method_of:
   - Type
   - Tensor
@@ -1063,8 +1063,8 @@
     dynamic_type: at::DimnameList
     is_nullable: true
     name: names
-    type: c10::optional<at::DimnameList>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::DimnameList>)
+    type: ::std::optional<at::DimnameList>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::DimnameList>)
   schema_order_arguments:
   - annotation: a
     dynamic_type: at::Tensor
@@ -1075,7 +1075,7 @@
     dynamic_type: at::DimnameList
     is_nullable: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   method_of:
   - Type
   - Tensor
@@ -1304,12 +1304,206 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: _assert_async
+  operator_name: _assert_async
+  overload_name: msg
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_assert_async.msg(Tensor self, str assert_msg) -> ()
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: c10::string_view
+    is_nullable: false
+    name: assert_msg
+    type: c10::string_view
+  schema_order_cpp_signature: void (const at::Tensor &, c10::string_view)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: c10::string_view
+    is_nullable: false
+    name: assert_msg
+    type: c10::string_view
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _assert_scalar
+  operator_name: _assert_scalar
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_assert_scalar(Scalar self, str assert_msg) -> ()
+  arguments:
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: self
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: c10::string_view
+    is_nullable: false
+    name: assert_msg
+    type: c10::string_view
+  schema_order_cpp_signature: void (const at::Scalar &, c10::string_view)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: self
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: c10::string_view
+    is_nullable: false
+    name: assert_msg
+    type: c10::string_view
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _functional_assert_scalar
+  operator_name: _functional_assert_scalar
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_functional_assert_scalar(Scalar self, str assert_msg, Tensor dep_token) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: self
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: c10::string_view
+    is_nullable: false
+    name: assert_msg
+    type: c10::string_view
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: dep_token
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Scalar &, c10::string_view, const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: self
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: c10::string_view
+    is_nullable: false
+    name: assert_msg
+    type: c10::string_view
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: dep_token
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _functional_assert_async
+  operator_name: _functional_assert_async
+  overload_name: msg
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_functional_assert_async.msg(Tensor self, str assert_msg, Tensor dep_token) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: c10::string_view
+    is_nullable: false
+    name: assert_msg
+    type: c10::string_view
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: dep_token
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::string_view, const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: c10::string_view
+    is_nullable: false
+    name: assert_msg
+    type: c10::string_view
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: dep_token
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: _assert_tensor_metadata
   operator_name: _assert_tensor_metadata
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_assert_tensor_metadata(Tensor a, int[]? size=None, int[]? stride=None, ScalarType? dtype=None) -> ()
+  schema_string: aten::_assert_tensor_metadata(Tensor a, SymInt[]? size=None, SymInt[]? stride=None, ScalarType? dtype=None) -> ()
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -1317,24 +1511,24 @@
     name: a
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: size
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: stride
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: void (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: void (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -1342,23 +1536,23 @@
     name: a
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: size
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: stride
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - namespace
@@ -1372,6 +1566,362 @@
   with_gil: false
   deprecated: false
   has_math_kernel: true
+- name: _print
+  operator_name: _print
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_print(str s) -> ()
+  arguments:
+  - annotation: null
+    dynamic_type: c10::string_view
+    is_nullable: false
+    name: s
+    type: c10::string_view
+  schema_order_cpp_signature: void (c10::string_view)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: c10::string_view
+    is_nullable: false
+    name: s
+    type: c10::string_view
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: sym_constrain_range
+  operator_name: sym_constrain_range
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::sym_constrain_range(Scalar size, *, int? min=None, int? max=None) -> ()
+  arguments:
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: size
+    type: const at::Scalar &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    kwarg_only: true
+    name: min
+    type: ::std::optional<int64_t>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    kwarg_only: true
+    name: max
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: void (const at::Scalar &, ::std::optional<int64_t>, ::std::optional<int64_t>)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: size
+    type: const at::Scalar &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    kwarg_only: true
+    name: min
+    type: ::std::optional<int64_t>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    kwarg_only: true
+    name: max
+    type: ::std::optional<int64_t>
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: sym_constrain_range_for_size
+  operator_name: sym_constrain_range_for_size
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::sym_constrain_range_for_size(Scalar size, *, int? min=None, int? max=None) -> ()
+  arguments:
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: size
+    type: const at::Scalar &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    kwarg_only: true
+    name: min
+    type: ::std::optional<int64_t>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    kwarg_only: true
+    name: max
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: void (const at::Scalar &, ::std::optional<int64_t>, ::std::optional<int64_t>)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: size
+    type: const at::Scalar &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    kwarg_only: true
+    name: min
+    type: ::std::optional<int64_t>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    kwarg_only: true
+    name: max
+    type: ::std::optional<int64_t>
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _functional_sym_constrain_range
+  operator_name: _functional_sym_constrain_range
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_functional_sym_constrain_range(Scalar size, int? min, int? max, Tensor dep_token) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: size
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: true
+    name: min
+    type: ::std::optional<int64_t>
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: true
+    name: max
+    type: ::std::optional<int64_t>
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: dep_token
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Scalar &, ::std::optional<int64_t>, ::std::optional<int64_t>, const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: size
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: true
+    name: min
+    type: ::std::optional<int64_t>
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: true
+    name: max
+    type: ::std::optional<int64_t>
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: dep_token
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _functional_sym_constrain_range_for_size
+  operator_name: _functional_sym_constrain_range_for_size
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_functional_sym_constrain_range_for_size(Scalar size, int? min, int? max, Tensor dep_token) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: size
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: true
+    name: min
+    type: ::std::optional<int64_t>
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: true
+    name: max
+    type: ::std::optional<int64_t>
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: dep_token
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Scalar &, ::std::optional<int64_t>, ::std::optional<int64_t>, const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: size
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: true
+    name: min
+    type: ::std::optional<int64_t>
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: true
+    name: max
+    type: ::std::optional<int64_t>
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: dep_token
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _make_dep_token
+  operator_name: _make_dep_token
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_make_dep_token(*, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor
+  arguments:
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::TensorOptions
+    is_nullable: false
+    kwarg_only: true
+    name: options
+    type: at::TensorOptions
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::MemoryFormat
+    is_nullable: true
+    kwarg_only: true
+    name: memory_format
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor (::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>, ::std::optional<at::MemoryFormat>)
+  schema_order_arguments:
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Layout
+    is_nullable: true
+    kwarg_only: true
+    name: layout
+    type: ::std::optional<at::Layout>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Device
+    is_nullable: true
+    kwarg_only: true
+    name: device
+    type: ::std::optional<at::Device>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    kwarg_only: true
+    name: pin_memory
+    type: ::std::optional<bool>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::MemoryFormat
+    is_nullable: true
+    kwarg_only: true
+    name: memory_format
+    type: ::std::optional<at::MemoryFormat>
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: true
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: refine_names
   operator_name: refine_names
   overload_name: ''
@@ -1929,7 +2479,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight_buf
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -1939,7 +2489,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: cx
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -1989,8 +2539,8 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: dropout_state
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, at::TensorList, int64_t, const c10::optional<at::Tensor> &, const at::Tensor &, const c10::optional<at::Tensor> &, int64_t, int64_t, int64_t, int64_t, bool, double, bool, bool, at::IntArrayRef, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, at::TensorList, int64_t, const ::std::optional<at::Tensor> &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, int64_t, int64_t, int64_t, bool, double, bool, bool, at::IntArrayRef, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -2011,7 +2561,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight_buf
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -2021,7 +2571,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: cx
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -2071,7 +2621,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: dropout_state
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - namespace
@@ -2136,7 +2686,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: cx
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -2146,17 +2696,17 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_output
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_hy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_cy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -2206,7 +2756,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: dropout_state
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -2217,7 +2767,7 @@
     is_nullable: false
     name: output_mask
     type: ::std::array<bool,4>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,::std::vector<at::Tensor>> (const at::Tensor &, at::TensorList, int64_t, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, int64_t, int64_t, int64_t, int64_t, bool, double, bool, bool, at::IntArrayRef, const c10::optional<at::Tensor> &, const at::Tensor &, ::std::array<bool,4>)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,::std::vector<at::Tensor>> (const at::Tensor &, at::TensorList, int64_t, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, int64_t, int64_t, int64_t, int64_t, bool, double, bool, bool, at::IntArrayRef, const ::std::optional<at::Tensor> &, const at::Tensor &, ::std::array<bool,4>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -2248,7 +2798,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: cx
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -2258,17 +2808,17 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_output
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_hy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_cy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -2318,7 +2868,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: dropout_state
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -2382,7 +2932,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (double, bool, int64_t, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (double, bool, int64_t, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: double
@@ -2400,33 +2950,33 @@
     name: dropout_seed
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -2496,12 +3046,12 @@
     name: p
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, double, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, double, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -2514,11 +3064,11 @@
     name: p
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - namespace
@@ -2614,8 +3164,8 @@
     dynamic_type: bool
     is_nullable: true
     name: train
-    type: c10::optional<bool>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, double, c10::optional<bool>)
+    type: ::std::optional<bool>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, double, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -2631,7 +3181,7 @@
     dynamic_type: bool
     is_nullable: true
     name: train
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -2742,8 +3292,8 @@
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, int64_t, const at::Tensor &, int64_t, int64_t, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, int64_t, const at::Tensor &, int64_t, int64_t, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -2774,7 +3324,7 @@
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - namespace
@@ -4018,13 +4568,13 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::MemoryFormat>)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::MemoryFormat>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -4032,12 +4582,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   method_of:
   - Type
   - Tensor
@@ -6045,7 +6595,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::affine_grid_generator(Tensor theta, int[] size, bool align_corners) -> Tensor
+  schema_string: aten::affine_grid_generator(Tensor theta, SymInt[] size, bool align_corners) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -6100,7 +6650,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::affine_grid_generator_backward(Tensor grad, int[] size, bool align_corners) -> Tensor
+  schema_string: aten::affine_grid_generator_backward(Tensor grad, SymInt[] size, bool align_corners) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -6257,6 +6807,51 @@
   with_gil: false
   deprecated: false
   has_math_kernel: true
+- name: _test_functorch_fallback
+  operator_name: _test_functorch_fallback
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_test_functorch_fallback(Tensor self, Tensor other) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: other
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: other
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: all
   operator_name: all
   overload_name: dim
@@ -6315,6 +6910,66 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: all
+  operator_name: all
+  overload_name: dims
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::all.dims(Tensor self, int[]? dim=None, bool keepdim=False) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::IntArrayRef
+    is_nullable: true
+    name: dim
+    type: at::OptionalIntArrayRef
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: keepdim
+    type: bool
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, bool)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::IntArrayRef
+    is_nullable: true
+    name: dim
+    type: at::OptionalIntArrayRef
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: keepdim
+    type: bool
+  method_of:
+  - Type
+  - Tensor
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: all_out
   operator_name: all
   overload_name: out
@@ -6386,6 +7041,79 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: all_out
+  operator_name: all
+  overload_name: dims_out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::all.dims_out(Tensor self, int[]? dim=None, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::IntArrayRef
+    is_nullable: true
+    name: dim
+    type: at::OptionalIntArrayRef
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: keepdim
+    type: bool
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, bool, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::IntArrayRef
+    is_nullable: true
+    name: dim
+    type: at::OptionalIntArrayRef
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: keepdim
+    type: bool
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: all
   operator_name: all
   overload_name: dimname
@@ -6655,37 +7383,31 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: any_out
+- name: any
   operator_name: any
-  overload_name: out
+  overload_name: dims
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::any.out(Tensor self, int dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::any.dims(Tensor self, int[]? dim=None, bool keepdim=False) -> Tensor
   arguments:
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
     name: self
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
+    default: ::std::nullopt
+    dynamic_type: at::IntArrayRef
+    is_nullable: true
     name: dim
-    type: int64_t
+    type: at::OptionalIntArrayRef
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
     name: keepdim
     type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, bool, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -6693,32 +7415,27 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
+    default: ::std::nullopt
+    dynamic_type: at::IntArrayRef
+    is_nullable: true
     name: dim
-    type: int64_t
+    type: at::OptionalIntArrayRef
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
     name: keepdim
     type: bool
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
   method_of:
   - Type
+  - Tensor
   - namespace
   mode: native
   python_module: ''
   returns:
   - dynamic_type: at::Tensor
-    name: out
-    type: at::Tensor &
+    name: result
+    type: at::Tensor
   inplace: false
   is_factory_method: false
   abstract: true
@@ -6726,30 +7443,37 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: any
+- name: any_out
   operator_name: any
-  overload_name: dimname
+  overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::any.dimname(Tensor self, Dimname dim, bool keepdim=False) -> Tensor
+  schema_string: aten::any.out(Tensor self, int dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
     name: self
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::Dimname
+    dynamic_type: int64_t
     is_nullable: false
     name: dim
-    type: at::Dimname
+    type: int64_t
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
     name: keepdim
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::Dimname, bool)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -6757,39 +7481,45 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::Dimname
+    dynamic_type: int64_t
     is_nullable: false
     name: dim
-    type: at::Dimname
+    type: int64_t
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
     name: keepdim
     type: bool
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
   method_of:
   - Type
-  - Tensor
   - namespace
   mode: native
   python_module: ''
   returns:
   - dynamic_type: at::Tensor
-    name: result
-    type: at::Tensor
+    name: out
+    type: at::Tensor &
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: any_out
   operator_name: any
-  overload_name: dimname_out
+  overload_name: dims_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::any.dimname_out(Tensor self, Dimname dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::any.dims_out(Tensor self, int[]? dim=None, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -6804,17 +7534,18 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::Dimname
-    is_nullable: false
+    default: ::std::nullopt
+    dynamic_type: at::IntArrayRef
+    is_nullable: true
     name: dim
-    type: at::Dimname
+    type: at::OptionalIntArrayRef
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
     name: keepdim
     type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::Dimname, bool, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -6822,10 +7553,140 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::Dimname
-    is_nullable: false
+    default: ::std::nullopt
+    dynamic_type: at::IntArrayRef
+    is_nullable: true
     name: dim
-    type: at::Dimname
+    type: at::OptionalIntArrayRef
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: keepdim
+    type: bool
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: any
+  operator_name: any
+  overload_name: dimname
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::any.dimname(Tensor self, Dimname dim, bool keepdim=False) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Dimname
+    is_nullable: false
+    name: dim
+    type: at::Dimname
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: keepdim
+    type: bool
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::Dimname, bool)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Dimname
+    is_nullable: false
+    name: dim
+    type: at::Dimname
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: keepdim
+    type: bool
+  method_of:
+  - Type
+  - Tensor
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: false
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: true
+- name: any_out
+  operator_name: any
+  overload_name: dimname_out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::any.dimname_out(Tensor self, Dimname dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Dimname
+    is_nullable: false
+    name: dim
+    type: at::Dimname
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: keepdim
+    type: bool
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::Dimname, bool, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Dimname
+    is_nullable: false
+    name: dim
+    type: at::Dimname
   - annotation: null
     default: false
     dynamic_type: bool
@@ -6874,7 +7735,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Scalar &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Scalar &, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: const at::Scalar &
@@ -6882,33 +7743,33 @@
     name: end
     type: const at::Scalar &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -6949,7 +7810,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Scalar &, const at::Scalar &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Scalar &, const at::Scalar &, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: const at::Scalar &
@@ -6962,33 +7823,33 @@
     name: end
     type: const at::Scalar &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -7035,7 +7896,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Scalar &, const at::Scalar &, const at::Scalar &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Scalar &, const at::Scalar &, const at::Scalar &, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: const at::Scalar &
@@ -7054,33 +7915,33 @@
     name: step
     type: const at::Scalar &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -7275,18 +8136,18 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
     name: keepdim
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<int64_t>, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<int64_t>, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -7294,11 +8155,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -7342,18 +8203,18 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
     name: keepdim
     type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<int64_t>, bool, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<int64_t>, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -7361,11 +8222,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -7408,18 +8269,18 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
     name: keepdim
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<int64_t>, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<int64_t>, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -7427,11 +8288,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -7475,18 +8336,18 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
     name: keepdim
     type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<int64_t>, bool, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<int64_t>, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -7494,11 +8355,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -8277,12 +9138,12 @@
     name: stride
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: storage_offset
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: a
     dynamic_type: at::Tensor
@@ -8300,11 +9161,11 @@
     name: stride
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: storage_offset
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - Tensor
@@ -8345,12 +9206,12 @@
     name: stride
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: storage_offset
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: const at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: const at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -8368,11 +9229,11 @@
     name: stride
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: storage_offset
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - Tensor
@@ -9367,7 +10228,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -9375,33 +10236,33 @@
     name: window_length
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -9442,7 +10303,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, bool, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, bool, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -9455,33 +10316,33 @@
     name: periodic
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -9514,22 +10375,22 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -9550,7 +10411,7 @@
     is_nullable: false
     name: cudnn_enabled
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, bool, double, double, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, bool, double, double, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -9561,22 +10422,22 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -9629,12 +10490,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -9660,7 +10521,7 @@
     is_nullable: false
     name: output_zero_point
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, double, double, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, double, double, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -9671,12 +10532,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -9734,22 +10595,22 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -9770,7 +10631,7 @@
     is_nullable: false
     name: cudnn_enabled
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,int64_t> (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, bool, double, double, bool)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,int64_t> (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, bool, double, double, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -9781,22 +10642,22 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -9871,27 +10732,27 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_var_transform
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -9912,7 +10773,7 @@
     is_nullable: false
     name: reservedSpace
     type: const at::Tensor &
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (int64_t, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, bool, double, ::std::array<bool,3>, const at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (int64_t, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, bool, double, ::std::array<bool,3>, const at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -9933,27 +10794,27 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_var_transform
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -10009,13 +10870,13 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -10023,12 +10884,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - Tensor
@@ -10066,13 +10927,13 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -10080,12 +10941,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -10127,13 +10988,13 @@
     name: p
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const at::Tensor &, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const at::Tensor &, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -10146,12 +11007,12 @@
     name: p
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - Tensor
@@ -10187,13 +11048,13 @@
     name: p
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, double, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, double, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -10207,12 +11068,12 @@
     name: p
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - Tensor
@@ -10247,13 +11108,13 @@
     name: p
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, double, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, double, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -10266,12 +11127,12 @@
     name: p
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - Tensor
@@ -10316,8 +11177,8 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -10339,7 +11200,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - namespace
@@ -10378,14 +11239,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
     is_nullable: false
     name: reduction
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -10402,7 +11263,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
@@ -10454,14 +11315,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
     is_nullable: false
     name: reduction
     type: int64_t
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, int64_t, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -10478,7 +11339,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
@@ -10535,14 +11396,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
     is_nullable: false
     name: reduction
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -10564,7 +11425,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
@@ -10621,14 +11482,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
     is_nullable: false
     name: reduction
     type: int64_t
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, int64_t, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -10650,7 +11511,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
@@ -10702,20 +11563,20 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: pos_weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
     is_nullable: false
     name: reduction
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -10732,13 +11593,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: pos_weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
@@ -10778,14 +11639,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 0
     dynamic_type: int64_t
     is_nullable: false
     name: minlength
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::optional<at::Tensor> &, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -10797,7 +11658,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 0
     dynamic_type: int64_t
@@ -11241,12 +12102,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: logical_not
-  operator_name: logical_not
+- name: _lazy_clone
+  operator_name: _lazy_clone
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::logical_not(Tensor self) -> Tensor
+  schema_string: aten::_lazy_clone(Tensor self) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -11277,119 +12138,25 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: logical_not_
-  operator_name: logical_not_
-  overload_name: ''
-  manual_kernel_registration: false
-  category_override: ''
-  schema_string: aten::logical_not_(Tensor(a!) self) -> Tensor(a!)
-  arguments:
-  - annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: self
-    type: at::Tensor &
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &)
-  schema_order_arguments:
-  - annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: self
-    type: at::Tensor &
-  method_of:
-  - Type
-  - Tensor
-  mode: native
-  python_module: ''
-  returns:
-  - dynamic_type: at::Tensor
-    name: self
-    type: at::Tensor &
-  inplace: true
-  is_factory_method: false
-  abstract: true
-  device_guard: true
-  with_gil: false
-  deprecated: false
-  has_math_kernel: false
-- name: logical_not_out
+- name: logical_not
   operator_name: logical_not
-  overload_name: out
-  manual_kernel_registration: false
-  category_override: ''
-  schema_string: aten::logical_not.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
-  arguments:
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: self
-    type: const at::Tensor &
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::Tensor &)
-  schema_order_arguments:
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: self
-    type: const at::Tensor &
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
-  method_of:
-  - Type
-  - namespace
-  mode: native
-  python_module: ''
-  returns:
-  - dynamic_type: at::Tensor
-    name: out
-    type: at::Tensor &
-  inplace: false
-  is_factory_method: false
-  abstract: true
-  device_guard: true
-  with_gil: false
-  deprecated: false
-  has_math_kernel: false
-- name: logical_xor
-  operator_name: logical_xor
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::logical_xor(Tensor self, Tensor other) -> Tensor
+  schema_string: aten::logical_not(Tensor self) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
     name: self
     type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: other
-    type: const at::Tensor &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
     name: self
     type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: other
-    type: const at::Tensor &
   method_of:
   - Type
   - Tensor
@@ -11407,35 +12174,25 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: logical_xor_
-  operator_name: logical_xor_
+- name: logical_not_
+  operator_name: logical_not_
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::logical_xor_(Tensor(a!) self, Tensor other) -> Tensor(a!)
+  schema_string: aten::logical_not_(Tensor(a!) self) -> Tensor(a!)
   arguments:
   - annotation: a!
     dynamic_type: at::Tensor
     is_nullable: false
     name: self
     type: at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: other
-    type: const at::Tensor &
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
     is_nullable: false
     name: self
     type: at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: other
-    type: const at::Tensor &
   method_of:
   - Type
   - Tensor
@@ -11452,12 +12209,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: logical_xor_out
-  operator_name: logical_xor
+- name: logical_not_out
+  operator_name: logical_not
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::logical_xor.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::logical_not.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -11471,23 +12228,163 @@
     is_nullable: false
     name: self
     type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: other
-    type: const at::Tensor &
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
     name: self
     type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: other
-    type: const at::Tensor &
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: logical_xor
+  operator_name: logical_xor
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::logical_xor(Tensor self, Tensor other) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: other
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: other
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - Tensor
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: logical_xor_
+  operator_name: logical_xor_
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::logical_xor_(Tensor(a!) self, Tensor other) -> Tensor(a!)
+  arguments:
+  - annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: other
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const at::Tensor &)
+  schema_order_arguments:
+  - annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: other
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - Tensor
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: self
+    type: at::Tensor &
+  inplace: true
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: logical_xor_out
+  operator_name: logical_xor
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::logical_xor.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: other
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: other
+    type: const at::Tensor &
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -11830,7 +12727,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -11838,33 +12735,33 @@
     name: window_length
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -11905,7 +12802,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, bool, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, bool, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -11918,33 +12815,33 @@
     name: periodic
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -13371,18 +14268,18 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: min
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: max
-    type: const c10::optional<at::Scalar> &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::optional<at::Scalar> &, const c10::optional<at::Scalar> &)
+    type: const ::std::optional<at::Scalar> &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const ::std::optional<at::Scalar> &, const ::std::optional<at::Scalar> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -13390,17 +14287,17 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: min
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: max
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   method_of:
   - Type
   - Tensor
@@ -13435,14 +14332,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: min
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: max
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -13454,13 +14351,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: min
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: max
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - Tensor
@@ -13491,18 +14388,18 @@
     name: self
     type: at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: min
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: max
-    type: const c10::optional<at::Scalar> &
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const c10::optional<at::Scalar> &, const c10::optional<at::Scalar> &)
+    type: const ::std::optional<at::Scalar> &
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const ::std::optional<at::Scalar> &, const ::std::optional<at::Scalar> &)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -13510,17 +14407,17 @@
     name: self
     type: at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: min
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: max
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   method_of:
   - Type
   - Tensor
@@ -13555,14 +14452,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: min
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: max
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -13574,13 +14471,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: min
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: max
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - Tensor
@@ -13618,18 +14515,18 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: min
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: max
-    type: const c10::optional<at::Scalar> &
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const c10::optional<at::Scalar> &, const c10::optional<at::Scalar> &, at::Tensor &)
+    type: const ::std::optional<at::Scalar> &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const ::std::optional<at::Scalar> &, const ::std::optional<at::Scalar> &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -13637,17 +14534,17 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: min
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: max
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -13695,14 +14592,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: min
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: max
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, at::Tensor &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -13714,13 +14611,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: min
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: max
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -14361,18 +15258,18 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: min
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: max
-    type: const c10::optional<at::Scalar> &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::optional<at::Scalar> &, const c10::optional<at::Scalar> &)
+    type: const ::std::optional<at::Scalar> &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const ::std::optional<at::Scalar> &, const ::std::optional<at::Scalar> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -14380,17 +15277,17 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: min
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: max
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   method_of:
   - Type
   - Tensor
@@ -14425,14 +15322,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: min
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: max
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -14444,13 +15341,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: min
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: max
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - Tensor
@@ -14481,18 +15378,18 @@
     name: self
     type: at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: min
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: max
-    type: const c10::optional<at::Scalar> &
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const c10::optional<at::Scalar> &, const c10::optional<at::Scalar> &)
+    type: const ::std::optional<at::Scalar> &
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const ::std::optional<at::Scalar> &, const ::std::optional<at::Scalar> &)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -14500,17 +15397,17 @@
     name: self
     type: at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: min
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: max
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   method_of:
   - Type
   - Tensor
@@ -14545,14 +15442,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: min
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: max
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -14564,13 +15461,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: min
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: max
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - Tensor
@@ -14608,18 +15505,18 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: min
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: max
-    type: const c10::optional<at::Scalar> &
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const c10::optional<at::Scalar> &, const c10::optional<at::Scalar> &, at::Tensor &)
+    type: const ::std::optional<at::Scalar> &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const ::std::optional<at::Scalar> &, const ::std::optional<at::Scalar> &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -14627,17 +15524,17 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: min
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: max
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -14685,14 +15582,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: min
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: max
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, at::Tensor &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -14704,13 +15601,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: min
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: max
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -15047,7 +15944,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: MemoryFormat::Contiguous
+    default: c10::MemoryFormat::Contiguous
     dynamic_type: at::MemoryFormat
     is_nullable: false
     kwarg_only: true
@@ -15061,7 +15958,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: MemoryFormat::Contiguous
+    default: c10::MemoryFormat::Contiguous
     dynamic_type: at::MemoryFormat
     is_nullable: false
     kwarg_only: true
@@ -15088,7 +15985,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::convolution(Tensor input, Tensor weight, Tensor? bias, int[] stride, SymInt[] padding, int[] dilation, bool transposed, SymInt[] output_padding, int groups) -> Tensor
+  schema_string: aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -15104,7 +16001,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -15135,7 +16032,7 @@
     is_nullable: false
     name: groups
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, at::IntArrayRef, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, at::IntArrayRef, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -15151,7 +16048,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -15203,7 +16100,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::convolution_backward(Tensor grad_output, Tensor input, Tensor weight, SymInt[]? bias_sizes, int[] stride, SymInt[] padding, int[] dilation, bool transposed, SymInt[] output_padding, int groups, bool[3] output_mask) -> (Tensor, Tensor, Tensor)
+  schema_string: aten::convolution_backward(Tensor grad_output, Tensor input, Tensor weight, SymInt[]? bias_sizes, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups, bool[3] output_mask) -> (Tensor, Tensor, Tensor)
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -15344,7 +16241,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::convolution_overrideable(Tensor input, Tensor weight, Tensor? bias, int[] stride, int[] padding, int[] dilation, bool transposed, int[] output_padding, int groups) -> Tensor
+  schema_string: aten::convolution_overrideable(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -15360,7 +16257,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -15391,7 +16288,7 @@
     is_nullable: false
     name: groups
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, at::IntArrayRef, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, at::IntArrayRef, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -15407,7 +16304,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -15459,7 +16356,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::convolution_backward_overrideable(Tensor grad_output, Tensor input, Tensor weight, int[] stride, int[] padding, int[] dilation, bool transposed, int[] output_padding, int groups, bool[3] output_mask) -> (Tensor grad_input, Tensor grad_weight, Tensor grad_bias)
+  schema_string: aten::convolution_backward_overrideable(Tensor grad_output, Tensor input, Tensor weight, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups, bool[3] output_mask) -> (Tensor grad_input, Tensor grad_weight, Tensor grad_bias)
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -15593,7 +16490,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_convolution(Tensor input, Tensor weight, Tensor? bias, int[] stride, SymInt[] padding, int[] dilation, bool transposed, SymInt[] output_padding, int groups, bool benchmark, bool deterministic, bool cudnn_enabled, bool allow_tf32) -> Tensor
+  schema_string: aten::_convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups, bool benchmark, bool deterministic, bool cudnn_enabled, bool allow_tf32) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -15609,7 +16506,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -15660,7 +16557,7 @@
     is_nullable: false
     name: allow_tf32
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, at::IntArrayRef, int64_t, bool, bool, bool, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, at::IntArrayRef, int64_t, bool, bool, bool, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -15676,7 +16573,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -15748,7 +16645,7 @@
   overload_name: deprecated
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_convolution.deprecated(Tensor input, Tensor weight, Tensor? bias, int[] stride, int[] padding, int[] dilation, bool transposed, int[] output_padding, int groups, bool benchmark, bool deterministic, bool cudnn_enabled) -> Tensor
+  schema_string: aten::_convolution.deprecated(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, int[] output_padding, SymInt groups, bool benchmark, bool deterministic, bool cudnn_enabled) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -15764,7 +16661,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -15810,7 +16707,7 @@
     is_nullable: false
     name: cudnn_enabled
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, at::IntArrayRef, int64_t, bool, bool, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, at::IntArrayRef, int64_t, bool, bool, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -15826,7 +16723,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -15893,7 +16790,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_convolution_mode(Tensor input, Tensor weight, Tensor? bias, int[] stride, str padding, int[] dilation, int groups) -> Tensor
+  schema_string: aten::_convolution_mode(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, str padding, SymInt[] dilation, SymInt groups) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -15909,7 +16806,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -15930,7 +16827,7 @@
     is_nullable: false
     name: groups
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, c10::string_view, at::IntArrayRef, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, c10::string_view, at::IntArrayRef, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -15946,7 +16843,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -15988,23 +16885,23 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_convolution_double_backward(Tensor? ggI, Tensor? ggW, Tensor? ggb, Tensor gO, Tensor weight, Tensor self, int[] stride, SymInt[] padding, int[] dilation, bool transposed, SymInt[] output_padding, int groups, bool[3] output_mask) -> (Tensor, Tensor, Tensor)
+  schema_string: aten::_convolution_double_backward(Tensor? ggI, Tensor? ggW, Tensor? ggb, Tensor gO, Tensor weight, Tensor self, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups, bool[3] output_mask) -> (Tensor, Tensor, Tensor)
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: ggI
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: ggW
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: ggb
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -16055,23 +16952,23 @@
     is_nullable: false
     name: output_mask
     type: ::std::array<bool,3>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, at::IntArrayRef, int64_t, ::std::array<bool,3>)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, at::IntArrayRef, int64_t, ::std::array<bool,3>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: ggI
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: ggW
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: ggb
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -16149,7 +17046,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::conv1d(Tensor input, Tensor weight, Tensor? bias=None, int[1] stride=1, int[1] padding=0, int[1] dilation=1, int groups=1) -> Tensor
+  schema_string: aten::conv1d(Tensor input, Tensor weight, Tensor? bias=None, SymInt[1] stride=1, SymInt[1] padding=0, SymInt[1] dilation=1, SymInt groups=1) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -16166,7 +17063,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -16194,7 +17091,7 @@
     is_nullable: false
     name: groups
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -16211,7 +17108,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -16260,7 +17157,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::conv2d(Tensor input, Tensor weight, Tensor? bias=None, int[2] stride=1, int[2] padding=0, int[2] dilation=1, int groups=1) -> Tensor
+  schema_string: aten::conv2d(Tensor input, Tensor weight, Tensor? bias=None, SymInt[2] stride=1, SymInt[2] padding=0, SymInt[2] dilation=1, SymInt groups=1) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -16277,7 +17174,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -16305,7 +17202,7 @@
     is_nullable: false
     name: groups
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -16322,7 +17219,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -16371,7 +17268,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::conv3d(Tensor input, Tensor weight, Tensor? bias=None, int[3] stride=1, int[3] padding=0, int[3] dilation=1, int groups=1) -> Tensor
+  schema_string: aten::conv3d(Tensor input, Tensor weight, Tensor? bias=None, SymInt[3] stride=1, SymInt[3] padding=0, SymInt[3] dilation=1, SymInt groups=1) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -16388,7 +17285,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -16416,7 +17313,7 @@
     is_nullable: false
     name: groups
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -16433,7 +17330,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -16482,7 +17379,7 @@
   overload_name: padding
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::conv1d.padding(Tensor input, Tensor weight, Tensor? bias=None, int[1] stride=1, str padding="valid", int[1] dilation=1, int groups=1) -> Tensor
+  schema_string: aten::conv1d.padding(Tensor input, Tensor weight, Tensor? bias=None, SymInt[1] stride=1, str padding="valid", SymInt[1] dilation=1, SymInt groups=1) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -16499,7 +17396,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -16526,7 +17423,7 @@
     is_nullable: false
     name: groups
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, c10::string_view, at::IntArrayRef, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, c10::string_view, at::IntArrayRef, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -16543,7 +17440,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -16591,7 +17488,7 @@
   overload_name: padding
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::conv2d.padding(Tensor input, Tensor weight, Tensor? bias=None, int[2] stride=1, str padding="valid", int[2] dilation=1, int groups=1) -> Tensor
+  schema_string: aten::conv2d.padding(Tensor input, Tensor weight, Tensor? bias=None, SymInt[2] stride=1, str padding="valid", SymInt[2] dilation=1, SymInt groups=1) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -16608,7 +17505,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -16635,7 +17532,7 @@
     is_nullable: false
     name: groups
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, c10::string_view, at::IntArrayRef, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, c10::string_view, at::IntArrayRef, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -16652,7 +17549,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -16700,7 +17597,7 @@
   overload_name: padding
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::conv3d.padding(Tensor input, Tensor weight, Tensor? bias=None, int[3] stride=1, str padding="valid", int[3] dilation=1, int groups=1) -> Tensor
+  schema_string: aten::conv3d.padding(Tensor input, Tensor weight, Tensor? bias=None, SymInt[3] stride=1, str padding="valid", SymInt[3] dilation=1, SymInt groups=1) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -16717,7 +17614,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -16744,7 +17641,7 @@
     is_nullable: false
     name: groups
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, c10::string_view, at::IntArrayRef, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, c10::string_view, at::IntArrayRef, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -16761,7 +17658,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -16957,7 +17854,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::conv_transpose1d(Tensor input, Tensor weight, Tensor? bias=None, int[1] stride=1, int[1] padding=0, int[1] output_padding=0, int groups=1, int[1] dilation=1) -> Tensor
+  schema_string: aten::conv_transpose1d(Tensor input, Tensor weight, Tensor? bias=None, SymInt[1] stride=1, SymInt[1] padding=0, SymInt[1] output_padding=0, SymInt groups=1, SymInt[1] dilation=1) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -16974,7 +17871,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -17009,7 +17906,7 @@
     name: dilation
     size: 1
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, at::IntArrayRef)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, at::IntArrayRef)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -17026,7 +17923,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -17082,7 +17979,7 @@
   overload_name: input
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::conv_transpose2d.input(Tensor input, Tensor weight, Tensor? bias=None, int[2] stride=1, int[2] padding=0, int[2] output_padding=0, int groups=1, int[2] dilation=1) -> Tensor
+  schema_string: aten::conv_transpose2d.input(Tensor input, Tensor weight, Tensor? bias=None, SymInt[2] stride=1, SymInt[2] padding=0, SymInt[2] output_padding=0, SymInt groups=1, SymInt[2] dilation=1) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -17099,7 +17996,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -17134,7 +18031,7 @@
     name: dilation
     size: 2
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, at::IntArrayRef)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, at::IntArrayRef)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -17151,7 +18048,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -17207,7 +18104,7 @@
   overload_name: input
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::conv_transpose3d.input(Tensor input, Tensor weight, Tensor? bias=None, int[3] stride=1, int[3] padding=0, int[3] output_padding=0, int groups=1, int[3] dilation=1) -> Tensor
+  schema_string: aten::conv_transpose3d.input(Tensor input, Tensor weight, Tensor? bias=None, SymInt[3] stride=1, SymInt[3] padding=0, SymInt[3] output_padding=0, SymInt groups=1, SymInt[3] dilation=1) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -17224,7 +18121,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -17259,7 +18156,7 @@
     name: dilation
     size: 3
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, at::IntArrayRef)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, at::IntArrayRef)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -17276,7 +18173,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -17923,12 +18820,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -17936,11 +18833,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - Tensor
@@ -17983,15 +18880,15 @@
     is_nullable: true
     kwarg_only: true
     name: fweights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: aweights
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -18011,14 +18908,14 @@
     is_nullable: true
     kwarg_only: true
     name: fweights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: aweights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - Tensor
@@ -18245,17 +19142,17 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -18271,7 +19168,7 @@
     is_nullable: false
     name: epsilon
     type: double
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, bool, double, double)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, bool, double, double)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -18287,17 +19184,17 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -18364,22 +19261,22 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: double
     is_nullable: false
@@ -18390,7 +19287,7 @@
     is_nullable: false
     name: reserveSpace
     type: const at::Tensor &
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, double, const at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, double, const at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -18411,22 +19308,22 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: double
     is_nullable: false
@@ -18464,7 +19361,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::cudnn_convolution(Tensor self, Tensor weight, int[] padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic, bool allow_tf32) -> Tensor
+  schema_string: aten::cudnn_convolution(Tensor self, Tensor weight, SymInt[] padding, SymInt[] stride, SymInt[] dilation, SymInt groups, bool benchmark, bool deterministic, bool allow_tf32) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -18574,13 +19471,20 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: cudnn_convolution_transpose
-  operator_name: cudnn_convolution_transpose
-  overload_name: ''
+- name: cudnn_convolution_out
+  operator_name: cudnn_convolution
+  overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::cudnn_convolution_transpose(Tensor self, Tensor weight, int[] padding, int[] output_padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic, bool allow_tf32) -> Tensor
+  schema_string: aten::cudnn_convolution.out(Tensor self, Tensor weight, SymInt[] padding, SymInt[] stride, SymInt[] dilation, SymInt groups, bool benchmark, bool deterministic, bool allow_tf32, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -18596,11 +19500,6 @@
     is_nullable: false
     name: padding
     type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: output_padding
-    type: at::IntArrayRef
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -18631,7 +19530,7 @@
     is_nullable: false
     name: allow_tf32
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, bool, bool, bool)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, bool, bool, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -18648,11 +19547,6 @@
     is_nullable: false
     name: padding
     type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: output_padding
-    type: at::IntArrayRef
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -18683,6 +19577,13 @@
     is_nullable: false
     name: allow_tf32
     type: bool
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
   method_of:
   - Type
   - namespace
@@ -18690,8 +19591,8 @@
   python_module: ''
   returns:
   - dynamic_type: at::Tensor
-    name: result
-    type: at::Tensor
+    name: out
+    type: at::Tensor &
   inplace: false
   is_factory_method: false
   abstract: true
@@ -18699,12 +19600,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _mps_convolution_transpose
-  operator_name: _mps_convolution_transpose
+- name: cudnn_convolution_transpose
+  operator_name: cudnn_convolution_transpose
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_mps_convolution_transpose(Tensor self, Tensor weight, int[] padding, int[] output_padding, int[] stride, int[] dilation, int groups) -> Tensor
+  schema_string: aten::cudnn_convolution_transpose(Tensor self, Tensor weight, SymInt[] padding, SymInt[] output_padding, SymInt[] stride, SymInt[] dilation, SymInt groups, bool benchmark, bool deterministic, bool allow_tf32) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -18741,76 +19642,201 @@
     is_nullable: false
     name: groups
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t)
-  schema_order_arguments:
   - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: self
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: weight
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: padding
-    type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: output_padding
-    type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: at::IntArrayRef
+    dynamic_type: bool
     is_nullable: false
-    name: stride
-    type: at::IntArrayRef
+    name: benchmark
+    type: bool
   - annotation: null
-    dynamic_type: at::IntArrayRef
+    dynamic_type: bool
     is_nullable: false
-    name: dilation
-    type: at::IntArrayRef
+    name: deterministic
+    type: bool
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: bool
     is_nullable: false
-    name: groups
-    type: int64_t
-  method_of:
-  - Type
-  - namespace
-  mode: native
-  python_module: ''
-  returns:
-  - dynamic_type: at::Tensor
-    name: result
-    type: at::Tensor
-  inplace: false
-  is_factory_method: false
-  abstract: true
-  device_guard: true
-  with_gil: false
-  deprecated: false
-  has_math_kernel: false
-- name: mps_convolution_transpose_backward
-  operator_name: mps_convolution_transpose_backward
-  overload_name: ''
-  manual_kernel_registration: false
-  category_override: ''
-  schema_string: aten::mps_convolution_transpose_backward(Tensor self, Tensor grad_output, Tensor weight, int[] padding, int[] output_padding, int[] stride, int[] dilation, int groups, bool[2] output_mask) -> (Tensor, Tensor)
-  arguments:
+    name: allow_tf32
+    type: bool
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, bool, bool, bool)
+  schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
     name: self
     type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: grad_output
-    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: weight
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: padding
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: output_padding
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: stride
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: dilation
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: groups
+    type: int64_t
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    name: benchmark
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    name: deterministic
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    name: allow_tf32
+    type: bool
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _mps_convolution_transpose
+  operator_name: _mps_convolution_transpose
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_mps_convolution_transpose(Tensor self, Tensor weight, SymInt[] padding, SymInt[] output_padding, SymInt[] stride, SymInt[] dilation, SymInt groups) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: weight
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: padding
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: output_padding
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: stride
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: dilation
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: groups
+    type: int64_t
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: weight
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: padding
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: output_padding
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: stride
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: dilation
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: groups
+    type: int64_t
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: mps_convolution_transpose_backward
+  operator_name: mps_convolution_transpose_backward
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::mps_convolution_transpose_backward(Tensor self, Tensor grad_output, Tensor weight, SymInt[] padding, SymInt[] output_padding, SymInt[] stride, SymInt[] dilation, SymInt groups, bool[2] output_mask) -> (Tensor, Tensor)
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: grad_output
+    type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -18917,7 +19943,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::cudnn_convolution_relu(Tensor self, Tensor weight, Tensor? bias, int[] stride, int[] padding, int[] dilation, int groups) -> Tensor
+  schema_string: aten::cudnn_convolution_relu(Tensor self, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, SymInt groups) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -18933,7 +19959,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -18954,7 +19980,7 @@
     is_nullable: false
     name: groups
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -18970,7 +19996,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -19012,7 +20038,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::cudnn_convolution_add_relu(Tensor self, Tensor weight, Tensor z, Scalar? alpha, Tensor? bias, int[] stride, int[] padding, int[] dilation, int groups) -> Tensor
+  schema_string: aten::cudnn_convolution_add_relu(Tensor self, Tensor weight, Tensor z, Scalar? alpha, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, SymInt groups) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -19033,12 +20059,12 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: alpha
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -19059,7 +20085,7 @@
     is_nullable: false
     name: groups
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Scalar> &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Scalar> &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -19080,12 +20106,12 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: alpha
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -19967,13 +20993,13 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -19986,12 +21012,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - Tensor
@@ -20027,13 +21053,13 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, int64_t, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, int64_t, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -20046,12 +21072,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - Tensor
@@ -20093,13 +21119,13 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, c10::optional<at::ScalarType>, at::Tensor &)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, ::std::optional<at::ScalarType>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -20112,12 +21138,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -20159,13 +21185,13 @@
     name: dim
     type: at::Dimname
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::Dimname, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::Dimname, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -20178,12 +21204,12 @@
     name: dim
     type: at::Dimname
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - Tensor
@@ -20219,13 +21245,13 @@
     name: dim
     type: at::Dimname
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, at::Dimname, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, at::Dimname, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -20238,12 +21264,12 @@
     name: dim
     type: at::Dimname
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - Tensor
@@ -20285,13 +21311,13 @@
     name: dim
     type: at::Dimname
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::Dimname, c10::optional<at::ScalarType>, at::Tensor &)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::Dimname, ::std::optional<at::ScalarType>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -20304,12 +21330,12 @@
     name: dim
     type: at::Dimname
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -20416,13 +21442,13 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -20435,12 +21461,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - Tensor
@@ -20476,13 +21502,13 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, int64_t, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, int64_t, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -20495,12 +21521,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - Tensor
@@ -20542,13 +21568,13 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, c10::optional<at::ScalarType>, at::Tensor &)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, ::std::optional<at::ScalarType>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -20561,12 +21587,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -20608,13 +21634,13 @@
     name: dim
     type: at::Dimname
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::Dimname, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::Dimname, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -20627,12 +21653,12 @@
     name: dim
     type: at::Dimname
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - Tensor
@@ -20668,13 +21694,13 @@
     name: dim
     type: at::Dimname
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, at::Dimname, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, at::Dimname, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -20687,12 +21713,12 @@
     name: dim
     type: at::Dimname
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - Tensor
@@ -20734,13 +21760,13 @@
     name: dim
     type: at::Dimname
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::Dimname, c10::optional<at::ScalarType>, at::Tensor &)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::Dimname, ::std::optional<at::ScalarType>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -20753,12 +21779,12 @@
     name: dim
     type: at::Dimname
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -22040,14 +23066,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: prepend
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: append
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, int64_t, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, int64_t, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -22071,13 +23097,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: prepend
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: append
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - Tensor
@@ -22131,14 +23157,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: prepend
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: append
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, int64_t, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, at::Tensor &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, int64_t, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -22162,13 +23188,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: prepend
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: append
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -22205,19 +23231,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: spacing
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     kwarg_only: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: 1
     dynamic_type: int64_t
@@ -22225,7 +23251,7 @@
     kwarg_only: true
     name: edge_order
     type: int64_t
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (const at::Tensor &, const c10::optional<at::Scalar> &, c10::optional<int64_t>, int64_t)
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (const at::Tensor &, const ::std::optional<at::Scalar> &, ::std::optional<int64_t>, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -22233,19 +23259,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: spacing
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     kwarg_only: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: 1
     dynamic_type: int64_t
@@ -22422,12 +23448,12 @@
     name: spacing
     type: at::ArrayRef<at::Scalar>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     kwarg_only: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: 1
     dynamic_type: int64_t
@@ -22435,7 +23461,7 @@
     kwarg_only: true
     name: edge_order
     type: int64_t
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (const at::Tensor &, at::ArrayRef<at::Scalar>, c10::optional<int64_t>, int64_t)
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (const at::Tensor &, at::ArrayRef<at::Scalar>, ::std::optional<int64_t>, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -22449,12 +23475,12 @@
     name: spacing
     type: at::ArrayRef<at::Scalar>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     kwarg_only: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: 1
     dynamic_type: int64_t
@@ -22570,12 +23596,12 @@
     name: spacing
     type: at::TensorList
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     kwarg_only: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: 1
     dynamic_type: int64_t
@@ -22583,7 +23609,7 @@
     kwarg_only: true
     name: edge_order
     type: int64_t
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (const at::Tensor &, at::TensorList, c10::optional<int64_t>, int64_t)
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (const at::Tensor &, at::TensorList, ::std::optional<int64_t>, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -22597,12 +23623,12 @@
     name: spacing
     type: at::TensorList
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     kwarg_only: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: 1
     dynamic_type: int64_t
@@ -22871,8 +23897,8 @@
     is_nullable: true
     kwarg_only: true
     name: rounding_mode
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -22889,7 +23915,7 @@
     is_nullable: true
     kwarg_only: true
     name: rounding_mode
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - Tensor
@@ -22929,8 +23955,8 @@
     is_nullable: true
     kwarg_only: true
     name: rounding_mode
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const at::Tensor &, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const at::Tensor &, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -22947,7 +23973,7 @@
     is_nullable: true
     kwarg_only: true
     name: rounding_mode
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - Tensor
@@ -22993,8 +24019,8 @@
     is_nullable: true
     kwarg_only: true
     name: rounding_mode
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, c10::optional<c10::string_view>, at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, ::std::optional<c10::string_view>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -23011,7 +24037,7 @@
     is_nullable: true
     kwarg_only: true
     name: rounding_mode
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -23148,8 +24174,8 @@
     is_nullable: true
     kwarg_only: true
     name: rounding_mode
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Scalar &, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Scalar &, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -23166,7 +24192,7 @@
     is_nullable: true
     kwarg_only: true
     name: rounding_mode
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - Tensor
@@ -23206,8 +24232,8 @@
     is_nullable: true
     kwarg_only: true
     name: rounding_mode
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const at::Scalar &, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const at::Scalar &, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -23224,7 +24250,7 @@
     is_nullable: true
     kwarg_only: true
     name: rounding_mode
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - Tensor
@@ -23504,8 +24530,8 @@
     is_nullable: true
     kwarg_only: true
     name: rounding_mode
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -23522,7 +24548,7 @@
     is_nullable: true
     kwarg_only: true
     name: rounding_mode
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - Tensor
@@ -23562,8 +24588,8 @@
     is_nullable: true
     kwarg_only: true
     name: rounding_mode
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const at::Tensor &, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const at::Tensor &, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -23580,7 +24606,7 @@
     is_nullable: true
     kwarg_only: true
     name: rounding_mode
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - Tensor
@@ -23626,8 +24652,8 @@
     is_nullable: true
     kwarg_only: true
     name: rounding_mode
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, c10::optional<c10::string_view>, at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, ::std::optional<c10::string_view>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -23644,7 +24670,7 @@
     is_nullable: true
     kwarg_only: true
     name: rounding_mode
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -23690,8 +24716,8 @@
     is_nullable: true
     kwarg_only: true
     name: rounding_mode
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Scalar &, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Scalar &, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -23708,7 +24734,7 @@
     is_nullable: true
     kwarg_only: true
     name: rounding_mode
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - Tensor
@@ -23748,8 +24774,8 @@
     is_nullable: true
     kwarg_only: true
     name: rounding_mode
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const at::Scalar &, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const at::Scalar &, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -23766,7 +24792,7 @@
     is_nullable: true
     kwarg_only: true
     name: rounding_mode
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - Tensor
@@ -24252,7 +25278,7 @@
     name: tensors
     type: at::TensorList
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     kwarg_only: true
@@ -24271,7 +25297,7 @@
     name: tensors
     type: at::TensorList
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     kwarg_only: true
@@ -24719,7 +25745,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: per_sample_weights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -24732,7 +25758,7 @@
     is_nullable: false
     name: padding_idx
     type: int64_t
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, bool, int64_t, bool, const c10::optional<at::Tensor> &, bool, int64_t)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, bool, int64_t, bool, const ::std::optional<at::Tensor> &, bool, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -24772,7 +25798,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: per_sample_weights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -24997,14 +26023,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: per_sample_weights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
     name: include_last_offset
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, bool, int64_t, bool, const c10::optional<at::Tensor> &, bool)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, bool, int64_t, bool, const ::std::optional<at::Tensor> &, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -25044,7 +26070,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: per_sample_weights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -25117,7 +26143,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: per_sample_weights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -25127,8 +26153,8 @@
     dynamic_type: int64_t
     is_nullable: true
     name: padding_idx
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, bool, int64_t, bool, const c10::optional<at::Tensor> &, bool, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, bool, int64_t, bool, const ::std::optional<at::Tensor> &, bool, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -25164,7 +26190,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: per_sample_weights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -25174,7 +26200,7 @@
     dynamic_type: int64_t
     is_nullable: true
     name: padding_idx
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - namespace
@@ -25245,7 +26271,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: per_sample_weights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -25258,7 +26284,7 @@
     is_nullable: false
     name: padding_idx
     type: int64_t
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, bool, int64_t, bool, const c10::optional<at::Tensor> &, bool, int64_t)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, bool, int64_t, bool, const ::std::optional<at::Tensor> &, bool, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -25298,7 +26324,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: per_sample_weights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -25397,14 +26423,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: per_sample_weights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: -1
     dynamic_type: int64_t
     is_nullable: false
     name: padding_idx
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, bool, int64_t, bool, const c10::optional<at::Tensor> &, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, bool, int64_t, bool, const ::std::optional<at::Tensor> &, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -25460,7 +26486,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: per_sample_weights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -25478,11 +26504,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: _embedding_bag_sparse_backward
   operator_name: _embedding_bag_sparse_backward
   overload_name: ''
@@ -25534,14 +26560,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: per_sample_weights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: -1
     dynamic_type: int64_t
     is_nullable: false
     name: padding_idx
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, bool, int64_t, const c10::optional<at::Tensor> &, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, bool, int64_t, const ::std::optional<at::Tensor> &, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -25587,7 +26613,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: per_sample_weights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -25661,14 +26687,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: per_sample_weights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: -1
     dynamic_type: int64_t
     is_nullable: false
     name: padding_idx
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, bool, int64_t, const c10::optional<at::Tensor> &, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, bool, int64_t, const ::std::optional<at::Tensor> &, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -25714,7 +26740,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: per_sample_weights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -25851,7 +26877,7 @@
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - annotation: null
     default: '{}'
     dynamic_type: at::TensorOptions
@@ -25860,13 +26886,13 @@
     name: options
     type: at::TensorOptions
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, c10::optional<at::DimnameList>, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>, c10::optional<at::MemoryFormat>)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, ::std::optional<at::DimnameList>, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>, ::std::optional<at::MemoryFormat>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -25878,42 +26904,42 @@
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   method_of:
   - Type
   - namespace
@@ -25950,13 +26976,13 @@
     name: options
     type: at::TensorOptions
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>, c10::optional<at::MemoryFormat>)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>, ::std::optional<at::MemoryFormat>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -25964,40 +26990,120 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: true
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: empty_permuted
+  operator_name: empty_permuted
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::empty_permuted(SymInt[] size, int[] physical_layout, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: size
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: physical_layout
+    type: at::IntArrayRef
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::TensorOptions
+    is_nullable: false
+    kwarg_only: true
+    name: options
+    type: at::TensorOptions
+  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: size
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: physical_layout
+    type: at::IntArrayRef
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Layout
+    is_nullable: true
+    kwarg_only: true
+    name: layout
+    type: ::std::optional<at::Layout>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Device
+    is_nullable: true
+    kwarg_only: true
+    name: device
+    type: ::std::optional<at::Device>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    kwarg_only: true
+    name: pin_memory
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -26038,7 +27144,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -26051,33 +27157,33 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - Tensor
@@ -26123,7 +27229,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -26141,33 +27247,33 @@
     name: stride
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - Tensor
@@ -26213,7 +27319,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, const at::Scalar &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, const at::Scalar &, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -26231,33 +27337,33 @@
     name: fill_value
     type: const at::Scalar &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - Tensor
@@ -26298,7 +27404,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -26311,33 +27417,33 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - Tensor
@@ -26378,7 +27484,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -26391,33 +27497,33 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - Tensor
@@ -26439,7 +27545,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_empty_affine_quantized(int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, float scale=1, int zero_point=0, MemoryFormat? memory_format=contiguous_format) -> Tensor
+  schema_string: aten::_empty_affine_quantized(SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, float scale=1, int zero_point=0, MemoryFormat? memory_format=contiguous_format) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -26468,13 +27574,13 @@
     name: zero_point
     type: int64_t
   - annotation: null
-    default: MemoryFormat::Contiguous
+    default: c10::MemoryFormat::Contiguous
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>, double, int64_t, c10::optional<at::MemoryFormat>)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>, double, int64_t, ::std::optional<at::MemoryFormat>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -26482,33 +27588,33 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
     default: 1
     dynamic_type: double
@@ -26524,12 +27630,12 @@
     name: zero_point
     type: int64_t
   - annotation: null
-    default: MemoryFormat::Contiguous
+    default: c10::MemoryFormat::Contiguous
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   method_of:
   - Type
   - namespace
@@ -26551,7 +27657,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: factory
-  schema_string: aten::_empty_per_channel_affine_quantized(int[] size, *, Tensor scales, Tensor zero_points, int axis, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=contiguous_format) -> Tensor
+  schema_string: aten::_empty_per_channel_affine_quantized(SymInt[] size, *, Tensor scales, Tensor zero_points, int axis, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=contiguous_format) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -26584,13 +27690,13 @@
     name: options
     type: at::TensorOptions
   - annotation: null
-    default: MemoryFormat::Contiguous
+    default: c10::MemoryFormat::Contiguous
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, const at::Tensor &, const at::Tensor &, int64_t, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>, c10::optional<at::MemoryFormat>)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, const at::Tensor &, const at::Tensor &, int64_t, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>, ::std::optional<at::MemoryFormat>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -26616,40 +27722,40 @@
     name: axis
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
-    default: MemoryFormat::Contiguous
+    default: c10::MemoryFormat::Contiguous
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   method_of:
   - Type
   - namespace
@@ -26684,13 +27790,13 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: const at::Tensor & (const at::Tensor &, at::IntArrayRef, c10::optional<at::MemoryFormat>)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: const at::Tensor & (const at::Tensor &, at::IntArrayRef, ::std::optional<at::MemoryFormat>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -26703,12 +27809,12 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   method_of:
   - Type
   - Tensor
@@ -26730,7 +27836,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_resize_output_(Tensor(a!) self, int[] size, Device device) -> Tensor(a!)
+  schema_string: aten::_resize_output_(Tensor(a!) self, SymInt[] size, Device device) -> Tensor(a!)
   arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -26805,13 +27911,13 @@
     name: options
     type: at::TensorOptions
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, const at::Tensor &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>, c10::optional<at::MemoryFormat>)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, const at::Tensor &, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>, ::std::optional<at::MemoryFormat>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -26824,40 +27930,40 @@
     name: qtensor
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   method_of:
   - Type
   - namespace
@@ -26894,13 +28000,13 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, c10::optional<at::MemoryFormat>, at::Tensor &)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, ::std::optional<at::MemoryFormat>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -26908,12 +28014,12 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -26957,13 +28063,13 @@
     name: options
     type: at::TensorOptions
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>, c10::optional<at::MemoryFormat>)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>, ::std::optional<at::MemoryFormat>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -26971,40 +28077,40 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   method_of:
   - Type
   - namespace
@@ -27045,7 +28151,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -27058,33 +28164,33 @@
     name: stride
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -27815,7 +28921,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::eye(int n, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
+  schema_string: aten::eye(SymInt n, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -27829,7 +28935,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -27837,33 +28943,33 @@
     name: n
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -27885,7 +28991,7 @@
   overload_name: m
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::eye.m(int n, int m, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
+  schema_string: aten::eye.m(SymInt n, SymInt m, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -27904,7 +29010,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, int64_t, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, int64_t, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -27917,33 +29023,33 @@
     name: m
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -27965,7 +29071,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::eye.out(int n, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::eye.out(SymInt n, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -28014,7 +29120,7 @@
   overload_name: m_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::eye.m_out(int n, int m, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::eye.m_out(SymInt n, SymInt m, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -28321,7 +29427,7 @@
   overload_name: int
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::unflatten.int(Tensor(a) self, int dim, int[] sizes) -> Tensor(a)
+  schema_string: aten::unflatten.int(Tensor(a) self, int dim, SymInt[] sizes) -> Tensor(a)
   arguments:
   - annotation: a
     dynamic_type: at::Tensor
@@ -28377,7 +29483,7 @@
   overload_name: Dimname
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::unflatten.Dimname(Tensor(a) self, Dimname dim, int[] sizes, Dimname[] names) -> Tensor(a)
+  schema_string: aten::unflatten.Dimname(Tensor(a) self, Dimname dim, SymInt[] sizes, Dimname[] names) -> Tensor(a)
   arguments:
   - annotation: a
     dynamic_type: at::Tensor
@@ -28932,11 +30038,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: floor_divide_
   operator_name: floor_divide_
   overload_name: Scalar
@@ -28977,11 +30083,11 @@
     type: at::Tensor &
   inplace: true
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: frac
   operator_name: frac
   overload_name: ''
@@ -29125,7 +30231,7 @@
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - annotation: null
     default: '{}'
     dynamic_type: at::TensorOptions
@@ -29133,7 +30239,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, const at::Scalar &, c10::optional<at::DimnameList>, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, const at::Scalar &, ::std::optional<at::DimnameList>, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -29150,35 +30256,35 @@
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -29219,7 +30325,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, const at::Scalar &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, const at::Scalar &, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -29232,33 +30338,33 @@
     name: fill_value
     type: const at::Scalar &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -29359,13 +30465,13 @@
     name: options
     type: at::TensorOptions
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Scalar &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>, c10::optional<at::MemoryFormat>)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Scalar &, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>, ::std::optional<at::MemoryFormat>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -29378,40 +30484,40 @@
     name: fill_value
     type: const at::Scalar &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   method_of:
   - Type
   - namespace
@@ -29441,17 +30547,17 @@
     name: filename
     type: c10::string_view
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     name: shared
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
     default: 0
     dynamic_type: int64_t
     is_nullable: true
     name: size
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: '{}'
     dynamic_type: at::TensorOptions
@@ -29459,7 +30565,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (c10::string_view, c10::optional<bool>, c10::optional<int64_t>, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (c10::string_view, ::std::optional<bool>, ::std::optional<int64_t>, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: c10::string_view
@@ -29467,45 +30573,45 @@
     name: filename
     type: c10::string_view
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     name: shared
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
     default: 0
     dynamic_type: int64_t
     is_nullable: true
     name: size
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -30427,7 +31533,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -30435,33 +31541,33 @@
     name: window_length
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -30502,7 +31608,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, bool, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, bool, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -30515,33 +31621,33 @@
     name: periodic
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -30577,7 +31683,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -30585,33 +31691,33 @@
     name: window_length
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -30652,7 +31758,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, bool, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, bool, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -30665,33 +31771,33 @@
     name: periodic
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -30737,7 +31843,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, bool, double, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, bool, double, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -30755,33 +31861,33 @@
     name: alpha
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -30832,7 +31938,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, bool, double, double, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, bool, double, double, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -30855,33 +31961,33 @@
     name: beta
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -30917,7 +32023,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -30925,33 +32031,33 @@
     name: window_length
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -30992,7 +32098,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, bool, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, bool, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -31005,33 +32111,33 @@
     name: periodic
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -31077,7 +32183,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, bool, double, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, bool, double, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -31095,33 +32201,33 @@
     name: beta
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -31229,13 +32335,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1.0e-05
     dynamic_type: double
@@ -31248,7 +32354,7 @@
     is_nullable: false
     name: cudnn_enabled
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, double, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, double, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -31265,13 +32371,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1.0e-05
     dynamic_type: double
@@ -31316,12 +32422,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -31347,7 +32453,7 @@
     is_nullable: false
     name: eps
     type: double
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, int64_t, int64_t, int64_t, int64_t, double)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, int64_t, int64_t, int64_t, int64_t, double)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -31358,12 +32464,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -31442,7 +32548,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -31468,7 +32574,7 @@
     is_nullable: false
     name: output_mask
     type: ::std::array<bool,3>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, int64_t, int64_t, int64_t, int64_t, ::std::array<bool,3>)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, int64_t, int64_t, int64_t, ::std::array<bool,3>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -31494,7 +32600,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -31691,7 +32797,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_fft_c2r(Tensor self, int[] dim, int normalization, int last_dim_size) -> Tensor
+  schema_string: aten::_fft_c2r(Tensor self, int[] dim, int normalization, SymInt last_dim_size) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -31756,7 +32862,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_fft_c2r.out(Tensor self, int[] dim, int normalization, int last_dim_size, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::_fft_c2r.out(Tensor self, int[] dim, int normalization, SymInt last_dim_size, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -32061,20 +33167,20 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_cufft_get_plan_cache_size(int device_index) -> int
+  schema_string: aten::_cufft_get_plan_cache_size(DeviceIndex device_index) -> int
   arguments:
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: at::DeviceIndex
     is_nullable: false
     name: device_index
-    type: int64_t
-  schema_order_cpp_signature: int64_t (int64_t)
+    type: at::DeviceIndex
+  schema_order_cpp_signature: int64_t (at::DeviceIndex)
   schema_order_arguments:
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: at::DeviceIndex
     is_nullable: false
     name: device_index
-    type: int64_t
+    type: at::DeviceIndex
   method_of:
   - Type
   - namespace
@@ -32096,20 +33202,20 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_cufft_get_plan_cache_max_size(int device_index) -> int
+  schema_string: aten::_cufft_get_plan_cache_max_size(DeviceIndex device_index) -> int
   arguments:
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: at::DeviceIndex
     is_nullable: false
     name: device_index
-    type: int64_t
-  schema_order_cpp_signature: int64_t (int64_t)
+    type: at::DeviceIndex
+  schema_order_cpp_signature: int64_t (at::DeviceIndex)
   schema_order_arguments:
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: at::DeviceIndex
     is_nullable: false
     name: device_index
-    type: int64_t
+    type: at::DeviceIndex
   method_of:
   - Type
   - namespace
@@ -32131,25 +33237,25 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_cufft_set_plan_cache_max_size(int device_index, int max_size) -> ()
+  schema_string: aten::_cufft_set_plan_cache_max_size(DeviceIndex device_index, int max_size) -> ()
   arguments:
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: at::DeviceIndex
     is_nullable: false
     name: device_index
-    type: int64_t
+    type: at::DeviceIndex
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
     name: max_size
     type: int64_t
-  schema_order_cpp_signature: void (int64_t, int64_t)
+  schema_order_cpp_signature: void (at::DeviceIndex, int64_t)
   schema_order_arguments:
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: at::DeviceIndex
     is_nullable: false
     name: device_index
-    type: int64_t
+    type: at::DeviceIndex
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -32173,20 +33279,20 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_cufft_clear_plan_cache(int device_index) -> ()
+  schema_string: aten::_cufft_clear_plan_cache(DeviceIndex device_index) -> ()
   arguments:
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: at::DeviceIndex
     is_nullable: false
     name: device_index
-    type: int64_t
-  schema_order_cpp_signature: void (int64_t)
+    type: at::DeviceIndex
+  schema_order_cpp_signature: void (at::DeviceIndex)
   schema_order_arguments:
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: at::DeviceIndex
     is_nullable: false
     name: device_index
-    type: int64_t
+    type: at::DeviceIndex
   method_of:
   - Type
   - namespace
@@ -32213,11 +33319,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: const c10::List<c10::optional<at::Tensor>> &
+    dynamic_type: const c10::List<::std::optional<at::Tensor>> &
     is_nullable: true
     name: indices
-    type: const c10::List<c10::optional<at::Tensor>> &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::List<c10::optional<at::Tensor>> &)
+    type: const c10::List<::std::optional<at::Tensor>> &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::List<::std::optional<at::Tensor>> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -32225,10 +33331,10 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: const c10::List<c10::optional<at::Tensor>> &
+    dynamic_type: const c10::List<::std::optional<at::Tensor>> &
     is_nullable: true
     name: indices
-    type: const c10::List<c10::optional<at::Tensor>> &
+    type: const c10::List<::std::optional<at::Tensor>> &
   method_of:
   - Type
   - Tensor
@@ -32266,11 +33372,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: const c10::List<c10::optional<at::Tensor>> &
+    dynamic_type: const c10::List<::std::optional<at::Tensor>> &
     is_nullable: true
     name: indices
-    type: const c10::List<c10::optional<at::Tensor>> &
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const c10::List<c10::optional<at::Tensor>> &, at::Tensor &)
+    type: const c10::List<::std::optional<at::Tensor>> &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const c10::List<::std::optional<at::Tensor>> &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -32278,10 +33384,10 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: const c10::List<c10::optional<at::Tensor>> &
+    dynamic_type: const c10::List<::std::optional<at::Tensor>> &
     is_nullable: true
     name: indices
-    type: const c10::List<c10::optional<at::Tensor>> &
+    type: const c10::List<::std::optional<at::Tensor>> &
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -32305,6 +33411,181 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: _unsafe_index
+  operator_name: _unsafe_index
+  overload_name: Tensor
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_unsafe_index.Tensor(Tensor self, Tensor?[] indices) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: const c10::List<::std::optional<at::Tensor>> &
+    is_nullable: true
+    name: indices
+    type: const c10::List<::std::optional<at::Tensor>> &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::List<::std::optional<at::Tensor>> &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: const c10::List<::std::optional<at::Tensor>> &
+    is_nullable: true
+    name: indices
+    type: const c10::List<::std::optional<at::Tensor>> &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _unsafe_masked_index
+  operator_name: _unsafe_masked_index
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_unsafe_masked_index(Tensor self, Tensor mask, Tensor?[] indices, Scalar fill) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mask
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: const c10::List<::std::optional<at::Tensor>> &
+    is_nullable: true
+    name: indices
+    type: const c10::List<::std::optional<at::Tensor>> &
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: fill
+    type: const at::Scalar &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::List<::std::optional<at::Tensor>> &, const at::Scalar &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mask
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: const c10::List<::std::optional<at::Tensor>> &
+    is_nullable: true
+    name: indices
+    type: const c10::List<::std::optional<at::Tensor>> &
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: fill
+    type: const at::Scalar &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _unsafe_masked_index_put_accumulate
+  operator_name: _unsafe_masked_index_put_accumulate
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_unsafe_masked_index_put_accumulate(Tensor self, Tensor mask, Tensor?[] indices, Tensor values) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mask
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: const c10::List<::std::optional<at::Tensor>> &
+    is_nullable: true
+    name: indices
+    type: const c10::List<::std::optional<at::Tensor>> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: values
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::List<::std::optional<at::Tensor>> &, const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mask
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: const c10::List<::std::optional<at::Tensor>> &
+    is_nullable: true
+    name: indices
+    type: const c10::List<::std::optional<at::Tensor>> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: values
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: index_copy_out
   operator_name: index_copy
   overload_name: out
@@ -32659,10 +33940,10 @@
     name: self
     type: at::Tensor &
   - annotation: null
-    dynamic_type: const c10::List<c10::optional<at::Tensor>> &
+    dynamic_type: const c10::List<::std::optional<at::Tensor>> &
     is_nullable: true
     name: indices
-    type: const c10::List<c10::optional<at::Tensor>> &
+    type: const c10::List<::std::optional<at::Tensor>> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -32674,7 +33955,7 @@
     is_nullable: false
     name: accumulate
     type: bool
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const c10::List<c10::optional<at::Tensor>> &, const at::Tensor &, bool)
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const c10::List<::std::optional<at::Tensor>> &, const at::Tensor &, bool)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -32682,10 +33963,10 @@
     name: self
     type: at::Tensor &
   - annotation: null
-    dynamic_type: const c10::List<c10::optional<at::Tensor>> &
+    dynamic_type: const c10::List<::std::optional<at::Tensor>> &
     is_nullable: true
     name: indices
-    type: const c10::List<c10::optional<at::Tensor>> &
+    type: const c10::List<::std::optional<at::Tensor>> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -32727,10 +34008,10 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: const c10::List<c10::optional<at::Tensor>> &
+    dynamic_type: const c10::List<::std::optional<at::Tensor>> &
     is_nullable: true
     name: indices
-    type: const c10::List<c10::optional<at::Tensor>> &
+    type: const c10::List<::std::optional<at::Tensor>> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -32742,7 +34023,7 @@
     is_nullable: false
     name: accumulate
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::List<c10::optional<at::Tensor>> &, const at::Tensor &, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::List<::std::optional<at::Tensor>> &, const at::Tensor &, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -32750,10 +34031,10 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: const c10::List<c10::optional<at::Tensor>> &
+    dynamic_type: const c10::List<::std::optional<at::Tensor>> &
     is_nullable: true
     name: indices
-    type: const c10::List<c10::optional<at::Tensor>> &
+    type: const c10::List<::std::optional<at::Tensor>> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -32782,6 +34063,73 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: _unsafe_index_put
+  operator_name: _unsafe_index_put
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_unsafe_index_put(Tensor self, Tensor?[] indices, Tensor values, bool accumulate=False) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: const c10::List<::std::optional<at::Tensor>> &
+    is_nullable: true
+    name: indices
+    type: const c10::List<::std::optional<at::Tensor>> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: values
+    type: const at::Tensor &
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: accumulate
+    type: bool
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::List<::std::optional<at::Tensor>> &, const at::Tensor &, bool)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: const c10::List<::std::optional<at::Tensor>> &
+    is_nullable: true
+    name: indices
+    type: const c10::List<::std::optional<at::Tensor>> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: values
+    type: const at::Tensor &
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: accumulate
+    type: bool
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: _index_put_impl_
   operator_name: _index_put_impl_
   overload_name: ''
@@ -32795,10 +34143,10 @@
     name: self
     type: at::Tensor &
   - annotation: null
-    dynamic_type: const c10::List<c10::optional<at::Tensor>> &
+    dynamic_type: const c10::List<::std::optional<at::Tensor>> &
     is_nullable: true
     name: indices
-    type: const c10::List<c10::optional<at::Tensor>> &
+    type: const c10::List<::std::optional<at::Tensor>> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -32816,7 +34164,7 @@
     is_nullable: false
     name: unsafe
     type: bool
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const c10::List<c10::optional<at::Tensor>> &, const at::Tensor &, bool, bool)
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const c10::List<::std::optional<at::Tensor>> &, const at::Tensor &, bool, bool)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -32824,10 +34172,10 @@
     name: self
     type: at::Tensor &
   - annotation: null
-    dynamic_type: const c10::List<c10::optional<at::Tensor>> &
+    dynamic_type: const c10::List<::std::optional<at::Tensor>> &
     is_nullable: true
     name: indices
-    type: const c10::List<c10::optional<at::Tensor>> &
+    type: const c10::List<::std::optional<at::Tensor>> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -32877,22 +34225,22 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -32913,7 +34261,7 @@
     is_nullable: false
     name: cudnn_enabled
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, bool, double, double, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, bool, double, double, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -32924,22 +34272,22 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -34536,13 +35884,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1.0e-05
     dynamic_type: double
@@ -34555,7 +35903,7 @@
     is_nullable: false
     name: cudnn_enable
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, double, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, double, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -34572,13 +35920,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1.0e-05
     dynamic_type: double
@@ -34628,18 +35976,18 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: double
     is_nullable: false
     name: eps
     type: double
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, at::IntArrayRef, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, double)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, at::IntArrayRef, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, double)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -34655,12 +36003,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: double
     is_nullable: false
@@ -34724,18 +36072,18 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: ::std::array<bool,3>
     is_nullable: false
     name: output_mask
     type: ::std::array<bool,3>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, ::std::array<bool,3>)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, ::std::array<bool,3>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -34766,12 +36114,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: ::std::array<bool,3>
     is_nullable: false
@@ -34799,6 +36147,75 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: rms_norm
+  operator_name: rms_norm
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::rms_norm(Tensor input, int[] normalized_shape, Tensor? weight=None, float? eps=None) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: normalized_shape
+    type: at::IntArrayRef
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: weight
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    name: eps
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, const ::std::optional<at::Tensor> &, ::std::optional<double>)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: normalized_shape
+    type: at::IntArrayRef
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: weight
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    name: eps
+    type: ::std::optional<double>
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: false
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: true
 - name: nan_to_num
   operator_name: nan_to_num
   overload_name: ''
@@ -34812,24 +36229,24 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: nan
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: posinf
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: neginf
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<double>, c10::optional<double>, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<double>, ::std::optional<double>, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -34837,23 +36254,23 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: nan
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: posinf
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: neginf
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - Tensor
@@ -34884,24 +36301,24 @@
     name: self
     type: at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: nan
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: posinf
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: neginf
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, c10::optional<double>, c10::optional<double>, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, ::std::optional<double>, ::std::optional<double>, ::std::optional<double>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -34909,23 +36326,23 @@
     name: self
     type: at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: nan
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: posinf
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: neginf
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - Tensor
@@ -34963,24 +36380,24 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: nan
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: posinf
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: neginf
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<double>, c10::optional<double>, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<double>, ::std::optional<double>, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -34988,23 +36405,23 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: nan
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: posinf
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: neginf
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -35050,8 +36467,8 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -35068,7 +36485,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - namespace
@@ -35185,8 +36602,8 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::Tensor &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -35203,7 +36620,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -35249,8 +36666,8 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -35267,7 +36684,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - namespace
@@ -35478,6 +36895,759 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: _cslt_compress
+  operator_name: _cslt_compress
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_cslt_compress(Tensor input) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _cslt_sparse_mm
+  operator_name: _cslt_sparse_mm
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_cslt_sparse_mm(Tensor compressed_A, Tensor dense_B, Tensor? bias=None, Tensor? alpha=None, ScalarType? out_dtype=None, bool transpose_result=False, int alg_id=0) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: compressed_A
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: dense_B
+    type: const at::Tensor &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: alpha
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    name: out_dtype
+    type: ::std::optional<at::ScalarType>
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: transpose_result
+    type: bool
+  - annotation: null
+    default: 0
+    dynamic_type: int64_t
+    is_nullable: false
+    name: alg_id
+    type: int64_t
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, ::std::optional<at::ScalarType>, bool, int64_t)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: compressed_A
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: dense_B
+    type: const at::Tensor &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: alpha
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    name: out_dtype
+    type: ::std::optional<at::ScalarType>
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: transpose_result
+    type: bool
+  - annotation: null
+    default: 0
+    dynamic_type: int64_t
+    is_nullable: false
+    name: alg_id
+    type: int64_t
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _cslt_sparse_mm_search
+  operator_name: _cslt_sparse_mm_search
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_cslt_sparse_mm_search(Tensor compressed_A, Tensor dense_B, Tensor? bias=None, Tensor? alpha=None, ScalarType? out_dtype=None, bool transpose_result=False) -> int
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: compressed_A
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: dense_B
+    type: const at::Tensor &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: alpha
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    name: out_dtype
+    type: ::std::optional<at::ScalarType>
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: transpose_result
+    type: bool
+  schema_order_cpp_signature: int64_t (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, ::std::optional<at::ScalarType>, bool)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: compressed_A
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: dense_B
+    type: const at::Tensor &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: alpha
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    name: out_dtype
+    type: ::std::optional<at::ScalarType>
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: transpose_result
+    type: bool
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: int64_t
+    name: result
+    type: int64_t
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _sparse_semi_structured_tile
+  operator_name: _sparse_semi_structured_tile
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_sparse_semi_structured_tile(Tensor input, str algorithm="", bool use_cutlass=True) -> (Tensor, Tensor, Tensor, Tensor, Tensor)
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    default: '""'
+    dynamic_type: c10::string_view
+    is_nullable: false
+    name: algorithm
+    type: c10::string_view
+  - annotation: null
+    default: true
+    dynamic_type: bool
+    is_nullable: false
+    name: use_cutlass
+    type: bool
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, c10::string_view, bool)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    default: '""'
+    dynamic_type: c10::string_view
+    is_nullable: false
+    name: algorithm
+    type: c10::string_view
+  - annotation: null
+    default: true
+    dynamic_type: bool
+    is_nullable: false
+    name: use_cutlass
+    type: bool
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result0
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    name: result1
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    name: result2
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    name: result3
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    name: result4
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _sparse_semi_structured_apply
+  operator_name: _sparse_semi_structured_apply
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_sparse_semi_structured_apply(Tensor input, Tensor thread_masks) -> (Tensor, Tensor)
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: thread_masks
+    type: const at::Tensor &
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: thread_masks
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result0
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    name: result1
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _sparse_semi_structured_apply_dense
+  operator_name: _sparse_semi_structured_apply_dense
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_sparse_semi_structured_apply_dense(Tensor input, Tensor thread_masks) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: thread_masks
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: thread_masks
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _sparse_semi_structured_linear
+  operator_name: _sparse_semi_structured_linear
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_sparse_semi_structured_linear(Tensor input, Tensor weight, Tensor meta, *, Tensor? bias=None, str? activation=None, ScalarType? out_dtype=None) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: weight
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: meta
+    type: const at::Tensor &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: c10::string_view
+    is_nullable: true
+    kwarg_only: true
+    name: activation
+    type: ::std::optional<c10::string_view>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: out_dtype
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, ::std::optional<c10::string_view>, ::std::optional<at::ScalarType>)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: weight
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: meta
+    type: const at::Tensor &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: c10::string_view
+    is_nullable: true
+    kwarg_only: true
+    name: activation
+    type: ::std::optional<c10::string_view>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: out_dtype
+    type: ::std::optional<at::ScalarType>
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _sparse_semi_structured_mm
+  operator_name: _sparse_semi_structured_mm
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_sparse_semi_structured_mm(Tensor mat1, Tensor mat1_meta, Tensor mat2, *, ScalarType? out_dtype=None) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mat1
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mat1_meta
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mat2
+    type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: out_dtype
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, ::std::optional<at::ScalarType>)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mat1
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mat1_meta
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mat2
+    type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: out_dtype
+    type: ::std::optional<at::ScalarType>
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _sparse_semi_structured_addmm
+  operator_name: _sparse_semi_structured_addmm
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_sparse_semi_structured_addmm(Tensor input, Tensor mat1, Tensor mat1_meta, Tensor mat2, *, Scalar alpha=1, Scalar beta=1, ScalarType? out_dtype=None) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mat1
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mat1_meta
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mat2
+    type: const at::Tensor &
+  - annotation: null
+    default: 1
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    kwarg_only: true
+    name: alpha
+    type: const at::Scalar &
+  - annotation: null
+    default: 1
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    kwarg_only: true
+    name: beta
+    type: const at::Scalar &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: out_dtype
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Scalar &, const at::Scalar &, ::std::optional<at::ScalarType>)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mat1
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mat1_meta
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mat2
+    type: const at::Tensor &
+  - annotation: null
+    default: 1
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    kwarg_only: true
+    name: alpha
+    type: const at::Scalar &
+  - annotation: null
+    default: 1
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    kwarg_only: true
+    name: beta
+    type: const at::Scalar &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: out_dtype
+    type: ::std::optional<at::ScalarType>
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _mixed_dtypes_linear
+  operator_name: _mixed_dtypes_linear
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_mixed_dtypes_linear(Tensor input, Tensor weight, Tensor scale, *, Tensor? bias=None, str? activation=None) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: weight
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: scale
+    type: const at::Tensor &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: c10::string_view
+    is_nullable: true
+    kwarg_only: true
+    name: activation
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, ::std::optional<c10::string_view>)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: weight
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: scale
+    type: const at::Tensor &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: c10::string_view
+    is_nullable: true
+    kwarg_only: true
+    name: activation
+    type: ::std::optional<c10::string_view>
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: fbgemm_linear_int8_weight_fp32_activation
   operator_name: fbgemm_linear_int8_weight_fp32_activation
   overload_name: ''
@@ -35747,6 +37917,166 @@
   with_gil: false
   deprecated: false
   has_math_kernel: true
+- name: _wrapped_linear_prepack
+  operator_name: _wrapped_linear_prepack
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_wrapped_linear_prepack(Tensor weight, Tensor weight_scale, Tensor weight_zero_point, Tensor bias) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: weight
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: weight_scale
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: weight_zero_point
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: bias
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: weight
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: weight_scale
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: weight_zero_point
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: bias
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: false
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: true
+- name: _wrapped_quantized_linear_prepacked
+  operator_name: _wrapped_quantized_linear_prepacked
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_wrapped_quantized_linear_prepacked(Tensor input, Tensor input_scale, Tensor input_zero_point, Tensor packed_weight, Tensor output_scale, Tensor output_zero_point, int out_channel) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input_scale
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input_zero_point
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: packed_weight
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: output_scale
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: output_zero_point
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: out_channel
+    type: int64_t
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input_scale
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input_zero_point
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: packed_weight
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: output_scale
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: output_zero_point
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: out_channel
+    type: int64_t
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: false
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: true
 - name: fbgemm_linear_fp16_weight_fp32_activation
   operator_name: fbgemm_linear_fp16_weight_fp32_activation
   overload_name: ''
@@ -36127,7 +38457,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Scalar &, const at::Scalar &, int64_t, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Scalar &, const at::Scalar &, int64_t, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: const at::Scalar &
@@ -36145,33 +38475,33 @@
     name: steps
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -36188,59 +38518,80 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: linspace_out
+- name: linspace
   operator_name: linspace
-  overload_name: out
+  overload_name: Tensor_Tensor
   manual_kernel_registration: false
-  category_override: ''
-  schema_string: aten::linspace.out(Scalar start, Scalar end, int steps, *, Tensor(a!) out) -> Tensor(a!)
+  category_override: factory
+  schema_string: aten::linspace.Tensor_Tensor(Tensor start, Tensor end, int steps, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
   arguments:
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
   - annotation: null
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::Tensor
     is_nullable: false
     name: start
-    type: const at::Scalar &
+    type: const at::Tensor &
   - annotation: null
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::Tensor
     is_nullable: false
     name: end
-    type: const at::Scalar &
+    type: const at::Tensor &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
     name: steps
     type: int64_t
-  schema_order_cpp_signature: at::Tensor & (const at::Scalar &, const at::Scalar &, int64_t, at::Tensor &)
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::TensorOptions
+    is_nullable: false
+    kwarg_only: true
+    name: options
+    type: at::TensorOptions
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, int64_t, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::Tensor
     is_nullable: false
     name: start
-    type: const at::Scalar &
+    type: const at::Tensor &
   - annotation: null
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::Tensor
     is_nullable: false
     name: end
-    type: const at::Scalar &
+    type: const at::Tensor &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
     name: steps
     type: int64_t
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Layout
+    is_nullable: true
+    kwarg_only: true
+    name: layout
+    type: ::std::optional<at::Layout>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Device
+    is_nullable: true
+    kwarg_only: true
+    name: device
+    type: ::std::optional<at::Device>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    kwarg_only: true
+    name: pin_memory
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -36248,37 +38599,91 @@
   python_module: ''
   returns:
   - dynamic_type: at::Tensor
-    name: out
-    type: at::Tensor &
+    name: result
+    type: at::Tensor
   inplace: false
-  is_factory_method: false
+  is_factory_method: true
   abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: log
-  operator_name: log
-  overload_name: ''
+- name: linspace
+  operator_name: linspace
+  overload_name: Tensor_Scalar
   manual_kernel_registration: false
-  category_override: ''
-  schema_string: aten::log(Tensor self) -> Tensor
+  category_override: factory
+  schema_string: aten::linspace.Tensor_Scalar(Tensor start, Scalar end, int steps, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: self
+    name: start
     type: const at::Tensor &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &)
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: end
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: steps
+    type: int64_t
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::TensorOptions
+    is_nullable: false
+    kwarg_only: true
+    name: options
+    type: at::TensorOptions
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Scalar &, int64_t, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: self
+    name: start
     type: const at::Tensor &
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: end
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: steps
+    type: int64_t
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Layout
+    is_nullable: true
+    kwarg_only: true
+    name: layout
+    type: ::std::optional<at::Layout>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Device
+    is_nullable: true
+    kwarg_only: true
+    name: device
+    type: ::std::optional<at::Device>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    kwarg_only: true
+    name: pin_memory
+    type: ::std::optional<bool>
   method_of:
   - Type
-  - Tensor
   - namespace
   mode: native
   python_module: ''
@@ -36287,54 +38692,108 @@
     name: result
     type: at::Tensor
   inplace: false
-  is_factory_method: false
+  is_factory_method: true
   abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: log_
-  operator_name: log_
-  overload_name: ''
+- name: linspace
+  operator_name: linspace
+  overload_name: Scalar_Tensor
   manual_kernel_registration: false
-  category_override: ''
-  schema_string: aten::log_(Tensor(a!) self) -> Tensor(a!)
+  category_override: factory
+  schema_string: aten::linspace.Scalar_Tensor(Scalar start, Tensor end, int steps, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
   arguments:
-  - annotation: a!
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: start
+    type: const at::Scalar &
+  - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: self
-    type: at::Tensor &
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &)
+    name: end
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: steps
+    type: int64_t
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::TensorOptions
+    is_nullable: false
+    kwarg_only: true
+    name: options
+    type: at::TensorOptions
+  schema_order_cpp_signature: at::Tensor (const at::Scalar &, const at::Tensor &, int64_t, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
-  - annotation: a!
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: start
+    type: const at::Scalar &
+  - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: self
-    type: at::Tensor &
+    name: end
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: steps
+    type: int64_t
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Layout
+    is_nullable: true
+    kwarg_only: true
+    name: layout
+    type: ::std::optional<at::Layout>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Device
+    is_nullable: true
+    kwarg_only: true
+    name: device
+    type: ::std::optional<at::Device>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    kwarg_only: true
+    name: pin_memory
+    type: ::std::optional<bool>
   method_of:
   - Type
-  - Tensor
   - namespace
   mode: native
   python_module: ''
   returns:
   - dynamic_type: at::Tensor
-    name: self
-    type: at::Tensor &
-  inplace: true
-  is_factory_method: false
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: true
   abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: log_out
-  operator_name: log
+- name: linspace_out
+  operator_name: linspace
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::log.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::linspace.out(Scalar start, Scalar end, int steps, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -36344,28 +38803,376 @@
     output: true
     type: at::Tensor &
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: self
-    type: const at::Tensor &
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::Tensor &)
-  schema_order_arguments:
+    name: start
+    type: const at::Scalar &
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: self
-    type: const at::Tensor &
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
+    name: end
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: int64_t
     is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
-  method_of:
-  - Type
-  - namespace
-  mode: native
+    name: steps
+    type: int64_t
+  schema_order_cpp_signature: at::Tensor & (const at::Scalar &, const at::Scalar &, int64_t, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: start
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: end
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: steps
+    type: int64_t
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: linspace_out
+  operator_name: linspace
+  overload_name: Tensor_Tensor_out
+  manual_kernel_registration: false
+  category_override: factory
+  schema_string: aten::linspace.Tensor_Tensor_out(Tensor start, Tensor end, int steps, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: start
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: end
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: steps
+    type: int64_t
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, int64_t, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: start
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: end
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: steps
+    type: int64_t
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: linspace_out
+  operator_name: linspace
+  overload_name: Tensor_Scalar_out
+  manual_kernel_registration: false
+  category_override: factory
+  schema_string: aten::linspace.Tensor_Scalar_out(Tensor start, Scalar end, int steps, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: start
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: end
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: steps
+    type: int64_t
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Scalar &, int64_t, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: start
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: end
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: steps
+    type: int64_t
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: linspace_out
+  operator_name: linspace
+  overload_name: Scalar_Tensor_out
+  manual_kernel_registration: false
+  category_override: factory
+  schema_string: aten::linspace.Scalar_Tensor_out(Scalar start, Tensor end, int steps, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: start
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: end
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: steps
+    type: int64_t
+  schema_order_cpp_signature: at::Tensor & (const at::Scalar &, const at::Tensor &, int64_t, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: start
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: end
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: steps
+    type: int64_t
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: log
+  operator_name: log
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::log(Tensor self) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - Tensor
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: log_
+  operator_name: log_
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::log_(Tensor(a!) self) -> Tensor(a!)
+  arguments:
+  - annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: at::Tensor &
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &)
+  schema_order_arguments:
+  - annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: at::Tensor &
+  method_of:
+  - Type
+  - Tensor
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: self
+    type: at::Tensor &
+  inplace: true
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: log_out
+  operator_name: log
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::log.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
   python_module: ''
   returns:
   - dynamic_type: at::Tensor
@@ -37392,7 +40199,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Scalar &, const at::Scalar &, int64_t, double, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Scalar &, const at::Scalar &, int64_t, double, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: const at::Scalar &
@@ -37416,33 +40223,339 @@
     name: base
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: true
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: logspace
+  operator_name: logspace
+  overload_name: Tensor_Tensor
+  manual_kernel_registration: false
+  category_override: factory
+  schema_string: aten::logspace.Tensor_Tensor(Tensor start, Tensor end, int steps, float base=10.0, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: start
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: end
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: steps
+    type: int64_t
+  - annotation: null
+    default: 10.0
+    dynamic_type: double
+    is_nullable: false
+    name: base
+    type: double
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::TensorOptions
+    is_nullable: false
+    kwarg_only: true
+    name: options
+    type: at::TensorOptions
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, int64_t, double, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: start
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: end
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: steps
+    type: int64_t
+  - annotation: null
+    default: 10.0
+    dynamic_type: double
+    is_nullable: false
+    name: base
+    type: double
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Layout
+    is_nullable: true
+    kwarg_only: true
+    name: layout
+    type: ::std::optional<at::Layout>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Device
+    is_nullable: true
+    kwarg_only: true
+    name: device
+    type: ::std::optional<at::Device>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    kwarg_only: true
+    name: pin_memory
+    type: ::std::optional<bool>
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: true
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: logspace
+  operator_name: logspace
+  overload_name: Tensor_Scalar
+  manual_kernel_registration: false
+  category_override: factory
+  schema_string: aten::logspace.Tensor_Scalar(Tensor start, Scalar end, int steps, float base=10.0, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: start
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: end
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: steps
+    type: int64_t
+  - annotation: null
+    default: 10.0
+    dynamic_type: double
+    is_nullable: false
+    name: base
+    type: double
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::TensorOptions
+    is_nullable: false
+    kwarg_only: true
+    name: options
+    type: at::TensorOptions
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Scalar &, int64_t, double, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: start
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: end
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: steps
+    type: int64_t
+  - annotation: null
+    default: 10.0
+    dynamic_type: double
+    is_nullable: false
+    name: base
+    type: double
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Layout
+    is_nullable: true
+    kwarg_only: true
+    name: layout
+    type: ::std::optional<at::Layout>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Device
+    is_nullable: true
+    kwarg_only: true
+    name: device
+    type: ::std::optional<at::Device>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    kwarg_only: true
+    name: pin_memory
+    type: ::std::optional<bool>
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: true
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: logspace
+  operator_name: logspace
+  overload_name: Scalar_Tensor
+  manual_kernel_registration: false
+  category_override: factory
+  schema_string: aten::logspace.Scalar_Tensor(Scalar start, Tensor end, int steps, float base=10.0, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: start
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: end
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: steps
+    type: int64_t
+  - annotation: null
+    default: 10.0
+    dynamic_type: double
+    is_nullable: false
+    name: base
+    type: double
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::TensorOptions
+    is_nullable: false
+    kwarg_only: true
+    name: options
+    type: at::TensorOptions
+  schema_order_cpp_signature: at::Tensor (const at::Scalar &, const at::Tensor &, int64_t, double, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: start
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: end
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: steps
+    type: int64_t
+  - annotation: null
+    default: 10.0
+    dynamic_type: double
+    is_nullable: false
+    name: base
+    type: double
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Layout
+    is_nullable: true
+    kwarg_only: true
+    name: layout
+    type: ::std::optional<at::Layout>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Device
+    is_nullable: true
+    kwarg_only: true
+    name: device
+    type: ::std::optional<at::Device>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    kwarg_only: true
+    name: pin_memory
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -37540,6 +40653,249 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: logspace_out
+  operator_name: logspace
+  overload_name: Tensor_Tensor_out
+  manual_kernel_registration: false
+  category_override: factory
+  schema_string: aten::logspace.Tensor_Tensor_out(Tensor start, Tensor end, int steps, float base=10.0, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: start
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: end
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: steps
+    type: int64_t
+  - annotation: null
+    default: 10.0
+    dynamic_type: double
+    is_nullable: false
+    name: base
+    type: double
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, int64_t, double, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: start
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: end
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: steps
+    type: int64_t
+  - annotation: null
+    default: 10.0
+    dynamic_type: double
+    is_nullable: false
+    name: base
+    type: double
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: logspace_out
+  operator_name: logspace
+  overload_name: Tensor_Scalar_out
+  manual_kernel_registration: false
+  category_override: factory
+  schema_string: aten::logspace.Tensor_Scalar_out(Tensor start, Scalar end, int steps, float base=10.0, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: start
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: end
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: steps
+    type: int64_t
+  - annotation: null
+    default: 10.0
+    dynamic_type: double
+    is_nullable: false
+    name: base
+    type: double
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Scalar &, int64_t, double, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: start
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: end
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: steps
+    type: int64_t
+  - annotation: null
+    default: 10.0
+    dynamic_type: double
+    is_nullable: false
+    name: base
+    type: double
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: logspace_out
+  operator_name: logspace
+  overload_name: Scalar_Tensor_out
+  manual_kernel_registration: false
+  category_override: factory
+  schema_string: aten::logspace.Scalar_Tensor_out(Scalar start, Tensor end, int steps, float base=10.0, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: start
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: end
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: steps
+    type: int64_t
+  - annotation: null
+    default: 10.0
+    dynamic_type: double
+    is_nullable: false
+    name: base
+    type: double
+  schema_order_cpp_signature: at::Tensor & (const at::Scalar &, const at::Tensor &, int64_t, double, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: start
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: end
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: steps
+    type: int64_t
+  - annotation: null
+    default: 10.0
+    dynamic_type: double
+    is_nullable: false
+    name: base
+    type: double
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: log_softmax
   operator_name: log_softmax
   overload_name: int
@@ -37558,12 +40914,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -37576,11 +40932,11 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - Tensor
@@ -37623,12 +40979,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, c10::optional<at::ScalarType>, at::Tensor &)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, ::std::optional<at::ScalarType>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -37641,11 +40997,11 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -37687,13 +41043,13 @@
     name: dim
     type: at::Dimname
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::Dimname, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::Dimname, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -37706,12 +41062,12 @@
     name: dim
     type: at::Dimname
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - Tensor
@@ -39126,12 +42482,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     kwarg_only: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -39139,7 +42495,7 @@
     kwarg_only: true
     name: keepdim
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, c10::optional<int64_t>, bool)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, ::std::optional<int64_t>, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -39147,12 +42503,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     kwarg_only: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -39211,12 +42567,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     kwarg_only: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -39224,7 +42580,7 @@
     kwarg_only: true
     name: keepdim
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, c10::optional<int64_t>, bool, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, ::std::optional<int64_t>, bool, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -39232,12 +42588,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     kwarg_only: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -40975,6 +44331,107 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: quantized_max_pool3d
+  operator_name: quantized_max_pool3d
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::quantized_max_pool3d(Tensor self, int[3] kernel_size, int[3] stride=[], int[3] padding=0, int[3] dilation=1, bool ceil_mode=False) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: kernel_size
+    size: 3
+    type: at::IntArrayRef
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: stride
+    size: 3
+    type: at::IntArrayRef
+  - annotation: null
+    default: 0
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: padding
+    size: 3
+    type: at::IntArrayRef
+  - annotation: null
+    default: 1
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: dilation
+    size: 3
+    type: at::IntArrayRef
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: ceil_mode
+    type: bool
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: kernel_size
+    size: 3
+    type: at::IntArrayRef
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: stride
+    size: 3
+    type: at::IntArrayRef
+  - annotation: null
+    default: 0
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: padding
+    size: 3
+    type: at::IntArrayRef
+  - annotation: null
+    default: 1
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: dilation
+    size: 3
+    type: at::IntArrayRef
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: ceil_mode
+    type: bool
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: max_pool3d
   operator_name: max_pool3d
   overload_name: ''
@@ -41089,13 +44546,13 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -41103,12 +44560,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - Tensor
@@ -41126,6 +44583,69 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: mean_out
+  operator_name: mean
+  overload_name: dtype_out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::mean.dtype_out(Tensor self, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<at::ScalarType>, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: mean
   operator_name: mean
   overload_name: dim
@@ -41151,13 +44671,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, bool, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, bool, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -41177,12 +44697,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - Tensor
@@ -41232,13 +44752,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, bool, c10::optional<at::ScalarType>, at::Tensor &)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, bool, ::std::optional<at::ScalarType>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -41258,12 +44778,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -41312,13 +44832,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::DimnameList, bool, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::DimnameList, bool, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -41338,12 +44858,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - Tensor
@@ -41393,13 +44913,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::DimnameList, bool, c10::optional<at::ScalarType>, at::Tensor &)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::DimnameList, bool, ::std::optional<at::ScalarType>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -41419,12 +44939,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -41461,7 +44981,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
@@ -41474,13 +44994,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, bool, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, bool, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -41488,7 +45008,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
@@ -41501,12 +45021,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - Tensor
@@ -41544,7 +45064,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
@@ -41557,13 +45077,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, bool, c10::optional<at::ScalarType>, at::Tensor &)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, bool, ::std::optional<at::ScalarType>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -41571,7 +45091,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
@@ -41584,12 +45104,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -42769,7 +46289,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_mps_convolution(Tensor self, Tensor weight, Tensor? bias, int[] padding, int[] stride, int[] dilation, int groups) -> Tensor
+  schema_string: aten::_mps_convolution(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, SymInt[] stride, SymInt[] dilation, SymInt groups) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -42785,7 +46305,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -42806,7 +46326,7 @@
     is_nullable: false
     name: groups
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -42822,7 +46342,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -42864,7 +46384,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::mps_convolution_backward(Tensor self, Tensor grad_output, Tensor weight, int[] padding, int[] stride, int[] dilation, int groups, bool[3] output_mask) -> (Tensor, Tensor, Tensor)
+  schema_string: aten::mps_convolution_backward(Tensor self, Tensor grad_output, Tensor weight, SymInt[] padding, SymInt[] stride, SymInt[] dilation, SymInt groups, bool[3] output_mask) -> (Tensor, Tensor, Tensor)
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -42975,7 +46495,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::mkldnn_convolution(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, int[] stride, int[] dilation, int groups) -> Tensor
+  schema_string: aten::mkldnn_convolution(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, SymInt[] stride, SymInt[] dilation, SymInt groups) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -42991,7 +46511,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -43012,7 +46532,7 @@
     is_nullable: false
     name: groups
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -43028,7 +46548,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -43320,17 +46840,17 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_output
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_hy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_cy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -43381,7 +46901,7 @@
     is_nullable: false
     name: workspace
     type: const at::Tensor &
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, bool, int64_t, int64_t, int64_t, bool, bool, bool, at::IntArrayRef, bool, const at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, bool, int64_t, int64_t, int64_t, bool, bool, bool, at::IntArrayRef, bool, const at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -43437,17 +46957,17 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_output
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_hy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_cy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -43553,17 +47073,17 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -43579,7 +47099,7 @@
     is_nullable: false
     name: epsilon
     type: double
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, bool, double, double)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, bool, double, double)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -43595,17 +47115,17 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -43669,28 +47189,28 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: double
     is_nullable: false
     name: epsilon
     type: double
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, double)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, double)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -43711,22 +47231,22 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: double
     is_nullable: false
@@ -43759,7 +47279,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::miopen_convolution(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic) -> Tensor
+  schema_string: aten::miopen_convolution(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, SymInt[] stride, SymInt[] dilation, SymInt groups, bool benchmark, bool deterministic) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -43775,7 +47295,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -43806,7 +47326,7 @@
     is_nullable: false
     name: deterministic
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, bool, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, bool, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -43822,7 +47342,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -43874,7 +47394,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::miopen_convolution_transpose(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, SymInt[] output_padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic) -> Tensor
+  schema_string: aten::miopen_convolution_transpose(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, SymInt[] output_padding, SymInt[] stride, SymInt[] dilation, SymInt groups, bool benchmark, bool deterministic) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -43890,7 +47410,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -43926,7 +47446,7 @@
     is_nullable: false
     name: deterministic
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, bool, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, bool, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -43942,7 +47462,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -43999,7 +47519,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::miopen_depthwise_convolution(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic) -> Tensor
+  schema_string: aten::miopen_depthwise_convolution(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, SymInt[] stride, SymInt[] dilation, SymInt groups, bool benchmark, bool deterministic) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -44015,7 +47535,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -44046,7 +47566,7 @@
     is_nullable: false
     name: deterministic
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, bool, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, bool, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -44062,7 +47582,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -44114,7 +47634,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::miopen_convolution_relu(Tensor self, Tensor weight, Tensor? bias, int[] stride, int[] padding, int[] dilation, int groups) -> Tensor
+  schema_string: aten::miopen_convolution_relu(Tensor self, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, SymInt groups) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -44130,7 +47650,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -44151,7 +47671,7 @@
     is_nullable: false
     name: groups
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -44167,7 +47687,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -44209,7 +47729,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::miopen_convolution_add_relu(Tensor self, Tensor weight, Tensor z, Scalar? alpha, Tensor? bias, int[] stride, int[] padding, int[] dilation, int groups) -> Tensor
+  schema_string: aten::miopen_convolution_add_relu(Tensor self, Tensor weight, Tensor z, Scalar? alpha, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, SymInt groups) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -44230,12 +47750,12 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: alpha
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -44256,7 +47776,7 @@
     is_nullable: false
     name: groups
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Scalar> &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Scalar> &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -44277,12 +47797,12 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: alpha
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -44350,7 +47870,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: cx
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -44395,8 +47915,8 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: dropout_state
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, at::TensorList, int64_t, const at::Tensor &, const c10::optional<at::Tensor> &, int64_t, int64_t, int64_t, bool, double, bool, bool, at::IntArrayRef, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, at::TensorList, int64_t, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, int64_t, int64_t, bool, double, bool, bool, at::IntArrayRef, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -44422,7 +47942,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: cx
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -44467,7 +47987,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: dropout_state
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - namespace
@@ -44532,7 +48052,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: cx
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -44542,17 +48062,17 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_output
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_hy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_cy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -44597,7 +48117,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: dropout_state
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -44608,7 +48128,7 @@
     is_nullable: false
     name: output_mask
     type: ::std::array<bool,4>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,::std::vector<at::Tensor>> (const at::Tensor &, at::TensorList, int64_t, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, int64_t, int64_t, int64_t, bool, double, bool, bool, at::IntArrayRef, const c10::optional<at::Tensor> &, const at::Tensor &, ::std::array<bool,4>)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,::std::vector<at::Tensor>> (const at::Tensor &, at::TensorList, int64_t, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, int64_t, int64_t, int64_t, bool, double, bool, bool, at::IntArrayRef, const ::std::optional<at::Tensor> &, const at::Tensor &, ::std::array<bool,4>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -44639,7 +48159,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: cx
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -44649,17 +48169,17 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_output
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_hy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_cy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -44704,7 +48224,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: dropout_state
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -44845,6 +48365,275 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: _int_mm
+  operator_name: _int_mm
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_int_mm(Tensor self, Tensor mat2) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mat2
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mat2
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _int_mm_out
+  operator_name: _int_mm
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_int_mm.out(Tensor self, Tensor mat2, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mat2
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mat2
+    type: const at::Tensor &
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _convert_weight_to_int4pack
+  operator_name: _convert_weight_to_int4pack
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_convert_weight_to_int4pack(Tensor self, int innerKTiles) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: innerKTiles
+    type: int64_t
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: innerKTiles
+    type: int64_t
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _weight_int4pack_mm
+  operator_name: _weight_int4pack_mm
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_weight_int4pack_mm(Tensor self, Tensor mat2, int qGroupSize, Tensor qScaleAndZeros) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mat2
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: qGroupSize
+    type: int64_t
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: qScaleAndZeros
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, int64_t, const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mat2
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: qGroupSize
+    type: int64_t
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: qScaleAndZeros
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _weight_int8pack_mm
+  operator_name: _weight_int8pack_mm
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_weight_int8pack_mm(Tensor self, Tensor mat2, Tensor scales) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mat2
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: scales
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mat2
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: scales
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: _sparse_mm
   operator_name: _sparse_mm
   overload_name: ''
@@ -46251,7 +50040,7 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: false
   with_gil: false
   deprecated: false
@@ -46338,22 +50127,22 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -46369,7 +50158,7 @@
     is_nullable: false
     name: eps
     type: double
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, bool, double, double)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, bool, double, double)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -46380,22 +50169,22 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -46470,22 +50259,22 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -46501,7 +50290,7 @@
     is_nullable: false
     name: eps
     type: double
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, bool, double, double, at::Tensor &, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, bool, double, double, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -46512,22 +50301,22 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -46602,12 +50391,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: a!
     dynamic_type: at::Tensor
     is_nullable: false
@@ -46633,7 +50422,7 @@
     is_nullable: false
     name: eps
     type: double
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, at::Tensor &, at::Tensor &, bool, double, double)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, at::Tensor &, at::Tensor &, bool, double, double)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -46644,12 +50433,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: a!
     dynamic_type: at::Tensor
     is_nullable: false
@@ -46697,6 +50486,107 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: _native_batch_norm_legit_no_training
+  operator_name: _native_batch_norm_legit_no_training
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor)
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: weight
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: running_mean
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: running_var
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: momentum
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: eps
+    type: double
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, double, double)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: weight
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: running_mean
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: running_var
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: momentum
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: eps
+    type: double
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result0
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    name: result1
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    name: result2
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: _native_batch_norm_legit_out
   operator_name: _native_batch_norm_legit
   overload_name: out
@@ -46734,12 +50624,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: a!
     dynamic_type: at::Tensor
     is_nullable: false
@@ -46765,7 +50655,7 @@
     is_nullable: false
     name: eps
     type: double
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, at::Tensor &, at::Tensor &, bool, double, double, at::Tensor &, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, at::Tensor &, at::Tensor &, bool, double, double, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -46776,12 +50666,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: a!
     dynamic_type: at::Tensor
     is_nullable: false
@@ -46866,12 +50756,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -46887,7 +50777,7 @@
     is_nullable: false
     name: eps
     type: double
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, bool, double, double)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, bool, double, double)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -46898,12 +50788,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -46978,12 +50868,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -46999,7 +50889,7 @@
     is_nullable: false
     name: eps
     type: double
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, bool, double, double, at::Tensor &, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, bool, double, double, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -47010,12 +50900,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -47138,12 +51028,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -47159,7 +51049,7 @@
     is_nullable: false
     name: eps
     type: double
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, double)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, double)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -47170,12 +51060,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -47230,12 +51120,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -47251,7 +51141,7 @@
     is_nullable: false
     name: eps
     type: double
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, double, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, double, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -47262,12 +51152,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -47332,12 +51222,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: double
     is_nullable: false
@@ -47353,7 +51243,7 @@
     is_nullable: false
     name: count
     type: int64_t
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, double, double, int64_t)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, double, double, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -47374,12 +51264,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: double
     is_nullable: false
@@ -47440,12 +51330,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: double
     is_nullable: false
@@ -47461,7 +51351,7 @@
     is_nullable: false
     name: counts
     type: const at::Tensor &
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, double, double, const at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, double, double, const at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -47482,12 +51372,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: double
     is_nullable: false
@@ -47543,27 +51433,27 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_invstd
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -47579,7 +51469,7 @@
     is_nullable: false
     name: output_mask
     type: ::std::array<bool,3>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, bool, double, ::std::array<bool,3>)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, bool, double, ::std::array<bool,3>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -47595,27 +51485,27 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_invstd
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -47684,7 +51574,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -47700,7 +51590,7 @@
     is_nullable: false
     name: bias_g
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, bool, bool, bool)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, bool, bool, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -47726,7 +51616,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -47772,7 +51662,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::batch_norm_backward_elemt(Tensor grad_out, Tensor input, Tensor mean, Tensor invstd, Tensor? weight, Tensor mean_dy, Tensor mean_dy_xmu, Tensor count) -> Tensor
+  schema_string: aten::batch_norm_backward_elemt(Tensor grad_out, Tensor input, Tensor mean, Tensor invstd, Tensor? weight, Tensor sum_dy, Tensor sum_dy_xmu, Tensor count) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -47798,23 +51688,23 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: mean_dy
+    name: sum_dy
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: mean_dy_xmu
+    name: sum_dy_xmu
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
     name: count
     type: const at::Tensor &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, const at::Tensor &)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, const at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -47840,16 +51730,16 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: mean_dy
+    name: sum_dy
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: mean_dy_xmu
+    name: sum_dy_xmu
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
@@ -47888,18 +51778,18 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: double
     is_nullable: false
     name: momentum
     type: double
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, double)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, double)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -47910,12 +51800,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: double
     is_nullable: false
@@ -47995,7 +51885,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_nnpack_spatial_convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[2] padding, int[2] stride=1) -> Tensor
+  schema_string: aten::_nnpack_spatial_convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[2] padding, SymInt[2] stride=1) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -48011,7 +51901,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -48025,7 +51915,7 @@
     name: stride
     size: 2
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -48041,7 +51931,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -48088,7 +51978,7 @@
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - annotation: null
     default: '{}'
     dynamic_type: at::TensorOptions
@@ -48096,7 +51986,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, c10::optional<at::DimnameList>, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, ::std::optional<at::DimnameList>, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -48108,35 +51998,35 @@
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -48172,7 +52062,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -48180,33 +52070,33 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -48292,13 +52182,13 @@
     name: options
     type: at::TensorOptions
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>, c10::optional<at::MemoryFormat>)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>, ::std::optional<at::MemoryFormat>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -48306,40 +52196,40 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   method_of:
   - Type
   - namespace
@@ -48461,12 +52351,12 @@
     name: p
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: compute_mode
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, double, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, double, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -48485,11 +52375,11 @@
     name: p
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: compute_mode
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - namespace
@@ -48577,8 +52467,8 @@
     dynamic_type: int64_t
     is_nullable: true
     name: compute_mode
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, double, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, double, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -48599,7 +52489,7 @@
     dynamic_type: int64_t
     is_nullable: true
     name: compute_mode
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - namespace
@@ -49460,7 +53350,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::channel_shuffle(Tensor self, int groups) -> Tensor
+  schema_string: aten::channel_shuffle(Tensor self, SymInt groups) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -49505,7 +53395,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::native_channel_shuffle(Tensor self, int groups) -> Tensor
+  schema_string: aten::native_channel_shuffle(Tensor self, SymInt groups) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -49558,12 +53448,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     name: device
-    type: c10::optional<at::Device>
-  schema_order_cpp_signature: bool (const at::Tensor &, c10::optional<at::Device>)
+    type: ::std::optional<at::Device>
+  schema_order_cpp_signature: bool (const at::Tensor &, ::std::optional<at::Device>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -49571,11 +53461,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   method_of:
   - Type
   - Tensor
@@ -49605,12 +53495,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     name: device
-    type: c10::optional<at::Device>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::Device>)
+    type: ::std::optional<at::Device>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::Device>)
   schema_order_arguments:
   - annotation: a
     dynamic_type: at::Tensor
@@ -49618,11 +53508,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   method_of:
   - Type
   - Tensor
@@ -49652,12 +53542,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     name: device
-    type: c10::optional<at::Device>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::Device>)
+    type: ::std::optional<at::Device>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::Device>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -49665,11 +53555,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   method_of:
   - Type
   - namespace
@@ -50080,7 +53970,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Scalar &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Scalar &, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: const at::Scalar &
@@ -50088,33 +53978,33 @@
     name: s
     type: const at::Scalar &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -50148,7 +54038,7 @@
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - annotation: null
     default: '{}'
     dynamic_type: at::TensorOptions
@@ -50156,7 +54046,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, c10::optional<at::DimnameList>, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, ::std::optional<at::DimnameList>, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -50168,35 +54058,35 @@
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -50230,13 +54120,13 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - annotation: null
     dynamic_type: at::DimnameList
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - annotation: null
     default: '{}'
     dynamic_type: at::TensorOptions
@@ -50244,7 +54134,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, c10::optional<at::Generator>, c10::optional<at::DimnameList>, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, ::std::optional<at::Generator>, ::std::optional<at::DimnameList>, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -50256,41 +54146,41 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - annotation: null
     dynamic_type: at::DimnameList
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -50326,7 +54216,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -50334,33 +54224,33 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -50394,7 +54284,7 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - annotation: null
     default: '{}'
     dynamic_type: at::TensorOptions
@@ -50402,7 +54292,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, c10::optional<at::Generator>, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, ::std::optional<at::Generator>, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -50414,35 +54304,35 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -50532,8 +54422,8 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -50545,7 +54435,7 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -50589,13 +54479,13 @@
     name: options
     type: at::TensorOptions
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>, c10::optional<at::MemoryFormat>)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>, ::std::optional<at::MemoryFormat>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -50603,40 +54493,40 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   method_of:
   - Type
   - namespace
@@ -50658,7 +54548,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::randint(int high, SymInt[] size, *, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
+  schema_string: aten::randint(SymInt high, SymInt[] size, *, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -50677,7 +54567,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -50695,28 +54585,28 @@
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -50738,7 +54628,7 @@
   overload_name: generator
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::randint.generator(int high, SymInt[] size, *, Generator? generator, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
+  schema_string: aten::randint.generator(SymInt high, SymInt[] size, *, Generator? generator, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -50755,7 +54645,7 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - annotation: null
     default: at::kLong
     dynamic_type: at::TensorOptions
@@ -50763,7 +54653,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, at::IntArrayRef, c10::optional<at::Generator>, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, at::IntArrayRef, ::std::optional<at::Generator>, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -50780,35 +54670,35 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - annotation: null
     default: at::kLong
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -50830,7 +54720,7 @@
   overload_name: low
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::randint.low(int low, int high, SymInt[] size, *, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
+  schema_string: aten::randint.low(SymInt low, SymInt high, SymInt[] size, *, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -50854,7 +54744,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, int64_t, at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, int64_t, at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -50877,28 +54767,28 @@
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -50920,7 +54810,7 @@
   overload_name: low_generator
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::randint.low_generator(int low, int high, SymInt[] size, *, Generator? generator, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
+  schema_string: aten::randint.low_generator(SymInt low, SymInt high, SymInt[] size, *, Generator? generator, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -50942,7 +54832,7 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - annotation: null
     default: at::kLong
     dynamic_type: at::TensorOptions
@@ -50950,7 +54840,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, int64_t, at::IntArrayRef, c10::optional<at::Generator>, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, int64_t, at::IntArrayRef, ::std::optional<at::Generator>, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -50972,35 +54862,35 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - annotation: null
     default: at::kLong
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -51022,7 +54912,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::randint.out(int high, SymInt[] size, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::randint.out(SymInt high, SymInt[] size, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -51081,7 +54971,7 @@
   overload_name: generator_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::randint.generator_out(int high, SymInt[] size, *, Generator? generator, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::randint.generator_out(SymInt high, SymInt[] size, *, Generator? generator, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -51105,8 +54995,8 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (int64_t, at::IntArrayRef, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (int64_t, at::IntArrayRef, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -51123,7 +55013,7 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -51152,7 +55042,7 @@
   overload_name: low_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::randint.low_out(int low, int high, SymInt[] size, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::randint.low_out(SymInt low, SymInt high, SymInt[] size, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -51221,7 +55111,7 @@
   overload_name: low_generator_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::randint.low_generator_out(int low, int high, SymInt[] size, *, Generator? generator, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::randint.low_generator_out(SymInt low, SymInt high, SymInt[] size, *, Generator? generator, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -51250,8 +55140,8 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (int64_t, int64_t, at::IntArrayRef, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (int64_t, int64_t, at::IntArrayRef, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -51273,7 +55163,7 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -51302,7 +55192,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::randint_like(Tensor self, int high, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor
+  schema_string: aten::randint_like(Tensor self, SymInt high, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -51322,13 +55212,13 @@
     name: options
     type: at::TensorOptions
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>, c10::optional<at::MemoryFormat>)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>, ::std::optional<at::MemoryFormat>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -51341,40 +55231,40 @@
     name: high
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   method_of:
   - Type
   - namespace
@@ -51396,7 +55286,7 @@
   overload_name: low_dtype
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::randint_like.low_dtype(Tensor self, int low, int high, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor
+  schema_string: aten::randint_like.low_dtype(Tensor self, SymInt low, SymInt high, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -51421,13 +55311,13 @@
     name: options
     type: at::TensorOptions
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, int64_t, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>, c10::optional<at::MemoryFormat>)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, int64_t, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>, ::std::optional<at::MemoryFormat>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -51445,40 +55335,40 @@
     name: high
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   method_of:
   - Type
   - namespace
@@ -51514,7 +55404,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -51522,33 +55412,33 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -51582,7 +55472,7 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - annotation: null
     default: '{}'
     dynamic_type: at::TensorOptions
@@ -51590,7 +55480,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, c10::optional<at::Generator>, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, ::std::optional<at::Generator>, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -51602,35 +55492,35 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -51664,7 +55554,7 @@
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - annotation: null
     default: '{}'
     dynamic_type: at::TensorOptions
@@ -51672,7 +55562,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, c10::optional<at::DimnameList>, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, ::std::optional<at::DimnameList>, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -51684,35 +55574,35 @@
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -51746,13 +55636,13 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - annotation: null
     dynamic_type: at::DimnameList
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - annotation: null
     default: '{}'
     dynamic_type: at::TensorOptions
@@ -51760,7 +55650,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, c10::optional<at::Generator>, c10::optional<at::DimnameList>, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, ::std::optional<at::Generator>, ::std::optional<at::DimnameList>, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -51772,41 +55662,41 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - annotation: null
     dynamic_type: at::DimnameList
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -51896,8 +55786,8 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -51909,7 +55799,7 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -51953,13 +55843,13 @@
     name: options
     type: at::TensorOptions
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>, c10::optional<at::MemoryFormat>)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>, ::std::optional<at::MemoryFormat>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -51967,40 +55857,40 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   method_of:
   - Type
   - namespace
@@ -52022,7 +55912,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::randperm(int n, *, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
+  schema_string: aten::randperm(SymInt n, *, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -52036,7 +55926,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -52049,28 +55939,28 @@
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -52092,7 +55982,7 @@
   overload_name: generator
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::randperm.generator(int n, *, Generator? generator, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
+  schema_string: aten::randperm.generator(SymInt n, *, Generator? generator, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -52104,7 +55994,7 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - annotation: null
     default: at::kLong
     dynamic_type: at::TensorOptions
@@ -52112,7 +56002,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, c10::optional<at::Generator>, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, ::std::optional<at::Generator>, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -52124,35 +56014,35 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - annotation: null
     default: at::kLong
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -52174,7 +56064,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::randperm.out(int n, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::randperm.out(SymInt n, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -52223,7 +56113,7 @@
   overload_name: generator_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::randperm.generator_out(int n, *, Generator? generator, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::randperm.generator_out(SymInt n, *, Generator? generator, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -52242,8 +56132,8 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (int64_t, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (int64_t, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -52255,7 +56145,7 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -52309,7 +56199,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Scalar &, const at::Scalar &, const at::Scalar &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Scalar &, const at::Scalar &, const at::Scalar &, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: const at::Scalar &
@@ -52328,33 +56218,33 @@
     name: step
     type: const at::Scalar &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -52395,7 +56285,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Scalar &, const at::Scalar &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Scalar &, const at::Scalar &, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: const at::Scalar &
@@ -52408,33 +56298,33 @@
     name: end
     type: const at::Scalar &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -53030,7 +56920,7 @@
   overload_name: Tensor
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::repeat_interleave.Tensor(Tensor repeats, *, int? output_size=None) -> Tensor
+  schema_string: aten::repeat_interleave.Tensor(Tensor repeats, *, SymInt? output_size=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -53038,13 +56928,13 @@
     name: repeats
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     kwarg_only: true
     name: output_size
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -53052,12 +56942,12 @@
     name: repeats
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     kwarg_only: true
     name: output_size
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - namespace
@@ -53079,7 +56969,7 @@
   overload_name: self_Tensor
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::repeat_interleave.self_Tensor(Tensor self, Tensor repeats, int? dim=None, *, int? output_size=None) -> Tensor
+  schema_string: aten::repeat_interleave.self_Tensor(Tensor self, Tensor repeats, int? dim=None, *, SymInt? output_size=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -53092,19 +56982,19 @@
     name: repeats
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     kwarg_only: true
     name: output_size
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, c10::optional<int64_t>, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, ::std::optional<int64_t>, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -53117,18 +57007,18 @@
     name: repeats
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     kwarg_only: true
     name: output_size
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - Tensor
@@ -53151,7 +57041,7 @@
   overload_name: self_int
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::repeat_interleave.self_int(Tensor self, SymInt repeats, int? dim=None, *, int? output_size=None) -> Tensor
+  schema_string: aten::repeat_interleave.self_int(Tensor self, SymInt repeats, int? dim=None, *, SymInt? output_size=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -53164,19 +57054,19 @@
     name: repeats
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     kwarg_only: true
     name: output_size
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, c10::optional<int64_t>, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, ::std::optional<int64_t>, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -53189,18 +57079,18 @@
     name: repeats
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     kwarg_only: true
     name: output_size
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - Tensor
@@ -53764,12 +57654,12 @@
     name: training
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Scalar &, const at::Scalar &, bool, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Scalar &, const at::Scalar &, bool, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -53795,11 +57685,11 @@
     name: training
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - namespace
@@ -53847,12 +57737,12 @@
     name: training
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const at::Scalar &, const at::Scalar &, bool, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const at::Scalar &, const at::Scalar &, bool, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -53878,11 +57768,11 @@
     name: training
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - namespace
@@ -55810,12 +59700,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: eps
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -55823,11 +59713,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: eps
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - Tensor
@@ -55858,12 +59748,12 @@
     name: self
     type: at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: eps
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, ::std::optional<double>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -55871,11 +59761,11 @@
     name: self
     type: at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: eps
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - Tensor
@@ -55913,12 +59803,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: eps
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -55926,11 +59816,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: eps
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -56480,227 +60370,132 @@
   with_gil: false
   deprecated: false
   has_math_kernel: true
-- name: slice
-  operator_name: slice
-  overload_name: Tensor
+- name: sym_size
+  operator_name: sym_size
+  overload_name: int
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::slice.Tensor(Tensor(a) self, int dim=0, SymInt? start=None, SymInt? end=None, SymInt step=1) -> Tensor(a)
+  schema_string: aten::sym_size.int(Tensor self, int dim) -> SymInt
   arguments:
-  - annotation: a
+  - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: 0
     dynamic_type: int64_t
     is_nullable: false
     name: dim
     type: int64_t
-  - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
-    is_nullable: true
-    name: start
-    type: c10::optional<int64_t>
-  - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
-    is_nullable: true
-    name: end
-    type: c10::optional<int64_t>
-  - annotation: null
-    default: 1
-    dynamic_type: int64_t
-    is_nullable: false
-    name: step
-    type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, c10::optional<int64_t>, c10::optional<int64_t>, int64_t)
+  schema_order_cpp_signature: c10::SymInt (const at::Tensor &, int64_t)
   schema_order_arguments:
-  - annotation: a
+  - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: 0
     dynamic_type: int64_t
     is_nullable: false
     name: dim
     type: int64_t
-  - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
-    is_nullable: true
-    name: start
-    type: c10::optional<int64_t>
-  - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
-    is_nullable: true
-    name: end
-    type: c10::optional<int64_t>
-  - annotation: null
-    default: 1
-    dynamic_type: int64_t
-    is_nullable: false
-    name: step
-    type: int64_t
   method_of:
   - Type
-  - Tensor
   - namespace
   mode: native
   python_module: ''
   returns:
-  - dynamic_type: at::Tensor
+  - dynamic_type: int64_t
     name: result
-    type: at::Tensor
+    type: c10::SymInt
   inplace: false
   is_factory_method: false
-  abstract: true
+  abstract: false
   device_guard: false
   with_gil: false
   deprecated: false
-  has_math_kernel: false
-- name: slice_backward
-  operator_name: slice_backward
+  has_math_kernel: true
+- name: sym_numel
+  operator_name: sym_numel
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::slice_backward(Tensor grad_output, SymInt[] input_sizes, int dim, SymInt start, SymInt end, SymInt step) -> Tensor
+  schema_string: aten::sym_numel(Tensor self) -> SymInt
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: grad_output
+    name: self
     type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: input_sizes
-    type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: dim
-    type: int64_t
-  - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: start
-    type: int64_t
-  - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: end
-    type: int64_t
-  - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: step
-    type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, int64_t, int64_t, int64_t, int64_t)
+  schema_order_cpp_signature: c10::SymInt (const at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: grad_output
+    name: self
     type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: input_sizes
-    type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: dim
-    type: int64_t
-  - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: start
-    type: int64_t
-  - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: end
-    type: int64_t
-  - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: step
-    type: int64_t
   method_of:
   - Type
   - namespace
   mode: native
   python_module: ''
   returns:
-  - dynamic_type: at::Tensor
+  - dynamic_type: int64_t
     name: result
-    type: at::Tensor
+    type: c10::SymInt
   inplace: false
   is_factory_method: false
-  abstract: true
+  abstract: false
   device_guard: false
   with_gil: false
   deprecated: false
-  has_math_kernel: false
-- name: slice_scatter
-  operator_name: slice_scatter
+  has_math_kernel: true
+- name: sym_storage_offset
+  operator_name: sym_storage_offset
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::slice_scatter(Tensor self, Tensor src, int dim=0, SymInt? start=None, SymInt? end=None, SymInt step=1) -> Tensor
+  schema_string: aten::sym_storage_offset(Tensor self) -> SymInt
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
     name: self
     type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: src
-    type: const at::Tensor &
-  - annotation: null
-    default: 0
-    dynamic_type: int64_t
-    is_nullable: false
-    name: dim
-    type: int64_t
-  - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
-    is_nullable: true
-    name: start
-    type: c10::optional<int64_t>
-  - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
-    is_nullable: true
-    name: end
-    type: c10::optional<int64_t>
-  - annotation: null
-    default: 1
-    dynamic_type: int64_t
-    is_nullable: false
-    name: step
-    type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, int64_t, c10::optional<int64_t>, c10::optional<int64_t>, int64_t)
+  schema_order_cpp_signature: c10::SymInt (const at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
     name: self
     type: const at::Tensor &
-  - annotation: null
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: int64_t
+    name: result
+    type: c10::SymInt
+  inplace: false
+  is_factory_method: false
+  abstract: false
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: true
+- name: slice
+  operator_name: slice
+  overload_name: Tensor
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::slice.Tensor(Tensor(a) self, int dim=0, SymInt? start=None, SymInt? end=None, SymInt step=1) -> Tensor(a)
+  arguments:
+  - annotation: a
     dynamic_type: at::Tensor
     is_nullable: false
-    name: src
+    name: self
     type: const at::Tensor &
   - annotation: null
     default: 0
@@ -56709,17 +60504,321 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: start
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: end
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
+  - annotation: null
+    default: 1
+    dynamic_type: int64_t
+    is_nullable: false
+    name: step
+    type: int64_t
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, ::std::optional<int64_t>, ::std::optional<int64_t>, int64_t)
+  schema_order_arguments:
+  - annotation: a
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    default: 0
+    dynamic_type: int64_t
+    is_nullable: false
+    name: dim
+    type: int64_t
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    name: start
+    type: ::std::optional<int64_t>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    name: end
+    type: ::std::optional<int64_t>
+  - annotation: null
+    default: 1
+    dynamic_type: int64_t
+    is_nullable: false
+    name: step
+    type: int64_t
+  method_of:
+  - Type
+  - Tensor
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: slice_backward
+  operator_name: slice_backward
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::slice_backward(Tensor grad_output, SymInt[] input_sizes, int dim, SymInt start, SymInt end, SymInt step) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: grad_output
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: input_sizes
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: dim
+    type: int64_t
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: start
+    type: int64_t
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: end
+    type: int64_t
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: step
+    type: int64_t
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, int64_t, int64_t, int64_t, int64_t)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: grad_output
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: input_sizes
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: dim
+    type: int64_t
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: start
+    type: int64_t
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: end
+    type: int64_t
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: step
+    type: int64_t
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: slice_inverse
+  operator_name: slice_inverse
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::slice_inverse(Tensor(a) self, Tensor src, int dim=0, SymInt? start=None, SymInt? end=None, SymInt step=1) -> Tensor(a)
+  arguments:
+  - annotation: a
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: src
+    type: const at::Tensor &
+  - annotation: null
+    default: 0
+    dynamic_type: int64_t
+    is_nullable: false
+    name: dim
+    type: int64_t
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    name: start
+    type: ::std::optional<int64_t>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    name: end
+    type: ::std::optional<int64_t>
+  - annotation: null
+    default: 1
+    dynamic_type: int64_t
+    is_nullable: false
+    name: step
+    type: int64_t
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, int64_t, ::std::optional<int64_t>, ::std::optional<int64_t>, int64_t)
+  schema_order_arguments:
+  - annotation: a
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: src
+    type: const at::Tensor &
+  - annotation: null
+    default: 0
+    dynamic_type: int64_t
+    is_nullable: false
+    name: dim
+    type: int64_t
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    name: start
+    type: ::std::optional<int64_t>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    name: end
+    type: ::std::optional<int64_t>
+  - annotation: null
+    default: 1
+    dynamic_type: int64_t
+    is_nullable: false
+    name: step
+    type: int64_t
+  method_of:
+  - Type
+  - Tensor
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: slice_scatter
+  operator_name: slice_scatter
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::slice_scatter(Tensor self, Tensor src, int dim=0, SymInt? start=None, SymInt? end=None, SymInt step=1) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: src
+    type: const at::Tensor &
+  - annotation: null
+    default: 0
+    dynamic_type: int64_t
+    is_nullable: false
+    name: dim
+    type: int64_t
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    name: start
+    type: ::std::optional<int64_t>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    name: end
+    type: ::std::optional<int64_t>
+  - annotation: null
+    default: 1
+    dynamic_type: int64_t
+    is_nullable: false
+    name: step
+    type: int64_t
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, int64_t, ::std::optional<int64_t>, ::std::optional<int64_t>, int64_t)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: src
+    type: const at::Tensor &
+  - annotation: null
+    default: 0
+    dynamic_type: int64_t
+    is_nullable: false
+    name: dim
+    type: int64_t
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    name: start
+    type: ::std::optional<int64_t>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    name: end
+    type: ::std::optional<int64_t>
   - annotation: null
     default: 1
     dynamic_type: int64_t
@@ -56919,12 +61018,12 @@
     name: stride
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: storage_offset
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -56947,11 +61046,11 @@
     name: stride
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: storage_offset
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - Tensor
@@ -57033,12 +61132,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -57051,11 +61150,11 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - Tensor
@@ -57098,12 +61197,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, c10::optional<at::ScalarType>, at::Tensor &)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, ::std::optional<at::ScalarType>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -57116,11 +61215,11 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -57162,13 +61261,13 @@
     name: dim
     type: at::Dimname
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::Dimname, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::Dimname, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -57181,12 +61280,12 @@
     name: dim
     type: at::Dimname
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - Tensor
@@ -58563,6 +62662,130 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: _chunk_cat
+  operator_name: _chunk_cat
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_chunk_cat(Tensor[] tensors, int dim, int num_chunks) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensors
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: dim
+    type: int64_t
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: num_chunks
+    type: int64_t
+  schema_order_cpp_signature: at::Tensor (at::TensorList, int64_t, int64_t)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensors
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: dim
+    type: int64_t
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: num_chunks
+    type: int64_t
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _chunk_cat_out
+  operator_name: _chunk_cat
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_chunk_cat.out(Tensor[] tensors, int dim, int num_chunks, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensors
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: dim
+    type: int64_t
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: num_chunks
+    type: int64_t
+  schema_order_cpp_signature: at::Tensor & (at::TensorList, int64_t, int64_t, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensors
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: dim
+    type: int64_t
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: num_chunks
+    type: int64_t
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: stack
   operator_name: stack
   overload_name: ''
@@ -59049,23 +63272,23 @@
     name: n_fft
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: hop_length
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: win_length
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: window
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -59073,18 +63296,18 @@
     name: normalized
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     name: onesided
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     name: return_complex
-    type: c10::optional<bool>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, c10::optional<int64_t>, c10::optional<int64_t>, const c10::optional<at::Tensor> &, bool, c10::optional<bool>, c10::optional<bool>)
+    type: ::std::optional<bool>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, ::std::optional<int64_t>, ::std::optional<int64_t>, const ::std::optional<at::Tensor> &, bool, ::std::optional<bool>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -59097,23 +63320,23 @@
     name: n_fft
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: hop_length
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: win_length
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: window
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -59121,17 +63344,17 @@
     name: normalized
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     name: onesided
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     name: return_complex
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - Tensor
@@ -59167,23 +63390,23 @@
     name: n_fft
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: hop_length
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: win_length
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: window
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: true
     dynamic_type: bool
@@ -59203,18 +63426,18 @@
     name: normalized
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     name: onesided
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     name: return_complex
-    type: c10::optional<bool>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, c10::optional<int64_t>, c10::optional<int64_t>, const c10::optional<at::Tensor> &, bool, c10::string_view, bool, c10::optional<bool>, c10::optional<bool>)
+    type: ::std::optional<bool>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, ::std::optional<int64_t>, ::std::optional<int64_t>, const ::std::optional<at::Tensor> &, bool, c10::string_view, bool, ::std::optional<bool>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -59227,23 +63450,23 @@
     name: n_fft
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: hop_length
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: win_length
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: window
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: true
     dynamic_type: bool
@@ -59263,17 +63486,17 @@
     name: normalized
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     name: onesided
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     name: return_complex
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - Tensor
@@ -59309,23 +63532,23 @@
     name: n_fft
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: hop_length
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: win_length
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: window
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: true
     dynamic_type: bool
@@ -59339,24 +63562,24 @@
     name: normalized
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     name: onesided
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: length
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
     name: return_complex
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, c10::optional<int64_t>, c10::optional<int64_t>, const c10::optional<at::Tensor> &, bool, bool, c10::optional<bool>, c10::optional<int64_t>, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, ::std::optional<int64_t>, ::std::optional<int64_t>, const ::std::optional<at::Tensor> &, bool, bool, ::std::optional<bool>, ::std::optional<int64_t>, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -59369,23 +63592,23 @@
     name: n_fft
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: hop_length
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: win_length
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: window
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: true
     dynamic_type: bool
@@ -59399,17 +63622,17 @@
     name: normalized
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     name: onesided
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: length
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -59524,12 +63747,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: true
-- name: sum
-  operator_name: sum
-  overload_name: ''
+- name: sym_stride
+  operator_name: sym_stride
+  overload_name: int
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::sum(Tensor self, *, ScalarType? dtype=None) -> Tensor
+  schema_string: aten::sym_stride.int(Tensor self, int dim) -> SymInt
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -59537,75 +63760,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: at::ScalarType
-    is_nullable: true
-    kwarg_only: true
-    name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::ScalarType>)
-  schema_order_arguments:
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: self
-    type: const at::Tensor &
-  - annotation: null
-    default: c10::nullopt
-    dynamic_type: at::ScalarType
-    is_nullable: true
-    kwarg_only: true
-    name: dtype
-    type: c10::optional<at::ScalarType>
-  method_of:
-  - Type
-  - Tensor
-  - namespace
-  mode: native
-  python_module: ''
-  returns:
-  - dynamic_type: at::Tensor
-    name: result
-    type: at::Tensor
-  inplace: false
-  is_factory_method: false
-  abstract: true
-  device_guard: true
-  with_gil: false
-  deprecated: false
-  has_math_kernel: false
-- name: sum
-  operator_name: sum
-  overload_name: dim_IntList
-  manual_kernel_registration: false
-  category_override: ''
-  schema_string: aten::sum.dim_IntList(Tensor self, int[1]? dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor
-  arguments:
-  - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: int64_t
     is_nullable: false
-    name: self
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: true
     name: dim
-    size: 1
-    type: at::OptionalIntArrayRef
-  - annotation: null
-    default: false
-    dynamic_type: bool
-    is_nullable: false
-    name: keepdim
-    type: bool
-  - annotation: null
-    default: c10::nullopt
-    dynamic_type: at::ScalarType
-    is_nullable: true
-    kwarg_only: true
-    name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, bool, c10::optional<at::ScalarType>)
+    type: int64_t
+  schema_order_cpp_signature: c10::SymInt (const at::Tensor &, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -59613,47 +63772,32 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: true
-    name: dim
-    size: 1
-    type: at::OptionalIntArrayRef
-  - annotation: null
-    default: false
-    dynamic_type: bool
+    dynamic_type: int64_t
     is_nullable: false
-    name: keepdim
-    type: bool
-  - annotation: null
-    default: c10::nullopt
-    dynamic_type: at::ScalarType
-    is_nullable: true
-    kwarg_only: true
-    name: dtype
-    type: c10::optional<at::ScalarType>
+    name: dim
+    type: int64_t
   method_of:
   - Type
-  - Tensor
   - namespace
   mode: native
   python_module: ''
   returns:
-  - dynamic_type: at::Tensor
+  - dynamic_type: int64_t
     name: result
-    type: at::Tensor
+    type: c10::SymInt
   inplace: false
   is_factory_method: false
-  abstract: true
-  device_guard: true
+  abstract: false
+  device_guard: false
   with_gil: false
   deprecated: false
-  has_math_kernel: false
+  has_math_kernel: true
 - name: sum
   operator_name: sum
-  overload_name: dim_DimnameList
+  overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::sum.dim_DimnameList(Tensor self, Dimname[1] dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor
+  schema_string: aten::sum(Tensor self, *, ScalarType? dtype=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -59661,25 +63805,13 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::DimnameList
-    is_nullable: false
-    name: dim
-    size: 1
-    type: at::DimnameList
-  - annotation: null
-    default: false
-    dynamic_type: bool
-    is_nullable: false
-    name: keepdim
-    type: bool
-  - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::DimnameList, bool, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -59687,24 +63819,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::DimnameList
-    is_nullable: false
-    name: dim
-    size: 1
-    type: at::DimnameList
-  - annotation: null
-    default: false
-    dynamic_type: bool
-    is_nullable: false
-    name: keepdim
-    type: bool
-  - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - Tensor
@@ -59717,25 +63837,18 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
-- name: sum_out
+  has_math_kernel: false
+- name: sum
   operator_name: sum
-  overload_name: IntList_out
+  overload_name: dim_IntList
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::sum.IntList_out(Tensor self, int[1]? dim, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::sum.dim_IntList(Tensor self, int[1]? dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor
   arguments:
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -59754,13 +63867,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, bool, c10::optional<at::ScalarType>, at::Tensor &)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, bool, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -59780,28 +63893,22 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
+  - Tensor
   - namespace
   mode: native
   python_module: ''
   returns:
   - dynamic_type: at::Tensor
-    name: out
-    type: at::Tensor &
+    name: result
+    type: at::Tensor
   inplace: false
   is_factory_method: false
   abstract: true
@@ -59809,20 +63916,13 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: sum_out
+- name: sum
   operator_name: sum
-  overload_name: DimnameList_out
+  overload_name: dim_DimnameList
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::sum.DimnameList_out(Tensor self, Dimname[1] dim, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::sum.dim_DimnameList(Tensor self, Dimname[1] dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor
   arguments:
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -59841,13 +63941,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::DimnameList, bool, c10::optional<at::ScalarType>, at::Tensor &)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::DimnameList, bool, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -59867,12 +63967,180 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
+  method_of:
+  - Type
+  - Tensor
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: false
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: true
+- name: sum_out
+  operator_name: sum
+  overload_name: IntList_out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::sum.IntList_out(Tensor self, int[1]? dim, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: true
+    name: dim
+    size: 1
+    type: at::OptionalIntArrayRef
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: keepdim
+    type: bool
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, bool, ::std::optional<at::ScalarType>, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: true
+    name: dim
+    size: 1
+    type: at::OptionalIntArrayRef
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: keepdim
+    type: bool
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: sum_out
+  operator_name: sum
+  overload_name: DimnameList_out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::sum.DimnameList_out(Tensor self, Dimname[1] dim, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::DimnameList
+    is_nullable: false
+    name: dim
+    size: 1
+    type: at::DimnameList
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: keepdim
+    type: bool
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::DimnameList, bool, ::std::optional<at::ScalarType>, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::DimnameList
+    is_nullable: false
+    name: dim
+    size: 1
+    type: at::DimnameList
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: keepdim
+    type: bool
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -59978,7 +64246,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
@@ -59991,13 +64259,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, bool, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, bool, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -60005,7 +64273,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
@@ -60018,12 +64286,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - Tensor
@@ -60061,7 +64329,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
@@ -60074,13 +64342,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, bool, c10::optional<at::ScalarType>, at::Tensor &)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, bool, ::std::optional<at::ScalarType>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -60088,7 +64356,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
@@ -60101,12 +64369,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -60135,7 +64403,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::sum_to_size(Tensor self, int[] size) -> Tensor
+  schema_string: aten::sum_to_size(Tensor self, SymInt[] size) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -60542,7 +64810,7 @@
   overload_name: correction
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::std.correction(Tensor self, int[1]? dim=None, *, int? correction=None, bool keepdim=False) -> Tensor
+  schema_string: aten::std.correction(Tensor self, int[1]? dim=None, *, Scalar? correction=None, bool keepdim=False) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -60550,19 +64818,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -60570,7 +64838,7 @@
     kwarg_only: true
     name: keepdim
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, c10::optional<int64_t>, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, const ::std::optional<at::Scalar> &, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -60578,19 +64846,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -60744,7 +65012,7 @@
   overload_name: correction
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::std_mean.correction(Tensor self, int[1]? dim=None, *, int? correction=None, bool keepdim=False) -> (Tensor, Tensor)
+  schema_string: aten::std_mean.correction(Tensor self, int[1]? dim=None, *, Scalar? correction=None, bool keepdim=False) -> (Tensor, Tensor)
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -60752,19 +65020,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -60772,7 +65040,7 @@
     kwarg_only: true
     name: keepdim
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, at::OptionalIntArrayRef, c10::optional<int64_t>, bool)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, at::OptionalIntArrayRef, const ::std::optional<at::Scalar> &, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -60780,19 +65048,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -60898,7 +65166,7 @@
   overload_name: correction_names
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::std_mean.correction_names(Tensor self, Dimname[1] dim, *, int? correction=None, bool keepdim=False) -> (Tensor, Tensor)
+  schema_string: aten::std_mean.correction_names(Tensor self, Dimname[1] dim, *, Scalar? correction=None, bool keepdim=False) -> (Tensor, Tensor)
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -60912,12 +65180,12 @@
     size: 1
     type: at::DimnameList
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -60925,7 +65193,7 @@
     kwarg_only: true
     name: keepdim
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, at::DimnameList, c10::optional<int64_t>, bool)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, at::DimnameList, const ::std::optional<at::Scalar> &, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -60939,12 +65207,12 @@
     size: 1
     type: at::DimnameList
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -61061,7 +65329,7 @@
   overload_name: correction_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::std.correction_out(Tensor self, int[1]? dim=None, *, int? correction=None, bool keepdim=False, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::std.correction_out(Tensor self, int[1]? dim=None, *, Scalar? correction=None, bool keepdim=False, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -61076,19 +65344,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -61096,7 +65364,7 @@
     kwarg_only: true
     name: keepdim
     type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, c10::optional<int64_t>, bool, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, const ::std::optional<at::Scalar> &, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -61104,19 +65372,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -61309,7 +65577,7 @@
   overload_name: correction_names
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::std.correction_names(Tensor self, Dimname[1] dim, *, int? correction=None, bool keepdim=False) -> Tensor
+  schema_string: aten::std.correction_names(Tensor self, Dimname[1] dim, *, Scalar? correction=None, bool keepdim=False) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -61323,12 +65591,12 @@
     size: 1
     type: at::DimnameList
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -61336,7 +65604,7 @@
     kwarg_only: true
     name: keepdim
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::DimnameList, c10::optional<int64_t>, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::DimnameList, const ::std::optional<at::Scalar> &, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -61350,12 +65618,12 @@
     size: 1
     type: at::DimnameList
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -61385,7 +65653,7 @@
   overload_name: correction_names_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::std.correction_names_out(Tensor self, Dimname[1] dim, *, int? correction=None, bool keepdim=False, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::std.correction_names_out(Tensor self, Dimname[1] dim, *, Scalar? correction=None, bool keepdim=False, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -61406,12 +65674,12 @@
     size: 1
     type: at::DimnameList
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -61419,7 +65687,7 @@
     kwarg_only: true
     name: keepdim
     type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::DimnameList, c10::optional<int64_t>, bool, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::DimnameList, const ::std::optional<at::Scalar> &, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -61433,12 +65701,12 @@
     size: 1
     type: at::DimnameList
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -61482,13 +65750,13 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -61496,12 +65764,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - Tensor
@@ -61543,13 +65811,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, bool, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, bool, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -61568,12 +65836,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - Tensor
@@ -61622,13 +65890,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, bool, c10::optional<at::ScalarType>, at::Tensor &)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, bool, ::std::optional<at::ScalarType>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -61647,12 +65915,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -61700,13 +65968,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::Dimname, bool, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::Dimname, bool, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -61725,12 +65993,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - Tensor
@@ -61779,13 +66047,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::Dimname, bool, c10::optional<at::ScalarType>, at::Tensor &)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::Dimname, bool, ::std::optional<at::ScalarType>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -61804,12 +66072,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -62285,11 +66553,11 @@
     type: at::Tensor &
   inplace: false
   is_factory_method: false
-  abstract: true
+  abstract: false
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: false
+  has_math_kernel: true
 - name: threshold
   operator_name: threshold
   overload_name: ''
@@ -62598,7 +66866,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::tile(Tensor self, int[] dims) -> Tensor
+  schema_string: aten::tile(Tensor self, SymInt[] dims) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -63086,7 +67354,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::roll(Tensor self, int[1] shifts, int[1] dims=[]) -> Tensor
+  schema_string: aten::roll(Tensor self, SymInt[1] shifts, int[1] dims=[]) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -63737,19 +68005,19 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _nested_tensor_offsets
-  operator_name: _nested_tensor_offsets
+- name: _nested_tensor_storage_offsets
+  operator_name: _nested_tensor_storage_offsets
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_nested_tensor_offsets(Tensor self) -> int[]
+  schema_string: aten::_nested_tensor_storage_offsets(Tensor self) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
     name: self
     type: const at::Tensor &
-  schema_order_cpp_signature: ::std::vector<int64_t> (const at::Tensor &)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -63762,9 +68030,9 @@
   mode: native
   python_module: ''
   returns:
-  - dynamic_type: at::IntArrayRef
+  - dynamic_type: at::Tensor
     name: result
-    type: ::std::vector<int64_t>
+    type: at::Tensor
   inplace: false
   is_factory_method: false
   abstract: true
@@ -63822,7 +68090,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_nested_view_from_buffer(Tensor(a) self, Tensor nested_size, Tensor nested_strides, int[] offsets) -> Tensor(a)
+  schema_string: aten::_nested_view_from_buffer(Tensor(a) self, Tensor nested_size, Tensor nested_strides, Tensor offsets) -> Tensor(a)
   arguments:
   - annotation: a
     dynamic_type: at::Tensor
@@ -63840,11 +68108,11 @@
     name: nested_strides
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::IntArrayRef
+    dynamic_type: at::Tensor
     is_nullable: false
     name: offsets
-    type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef)
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &)
   schema_order_arguments:
   - annotation: a
     dynamic_type: at::Tensor
@@ -63862,10 +68130,10 @@
     name: nested_strides
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::IntArrayRef
+    dynamic_type: at::Tensor
     is_nullable: false
     name: offsets
-    type: at::IntArrayRef
+    type: const at::Tensor &
   method_of:
   - Type
   - namespace
@@ -63887,7 +68155,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_nested_view_from_buffer_copy(Tensor self, Tensor nested_size, Tensor nested_strides, int[] offsets) -> Tensor
+  schema_string: aten::_nested_view_from_buffer_copy(Tensor self, Tensor nested_size, Tensor nested_strides, Tensor offsets) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -63905,11 +68173,11 @@
     name: nested_strides
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::IntArrayRef
+    dynamic_type: at::Tensor
     is_nullable: false
     name: offsets
-    type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef)
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -63927,10 +68195,10 @@
     name: nested_strides
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::IntArrayRef
+    dynamic_type: at::Tensor
     is_nullable: false
     name: offsets
-    type: at::IntArrayRef
+    type: const at::Tensor &
   method_of:
   - Type
   - namespace
@@ -63947,55 +68215,579 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _trilinear
-  operator_name: _trilinear
+- name: _nested_view_from_jagged
+  operator_name: _nested_view_from_jagged
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_trilinear(Tensor i1, Tensor i2, Tensor i3, int[] expand1, int[] expand2, int[] expand3, int[] sumdim, int unroll_dim=1) -> Tensor
+  schema_string: aten::_nested_view_from_jagged(Tensor(a) self, Tensor offsets, Tensor dummy, Tensor? lengths=None, int ragged_idx=1, Tensor? min_seqlen=None, Tensor? max_seqlen=None) -> Tensor(a)
   arguments:
+  - annotation: a
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: i1
+    name: offsets
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: i2
+    name: dummy
     type: const at::Tensor &
   - annotation: null
+    default: '{}'
     dynamic_type: at::Tensor
+    is_nullable: true
+    name: lengths
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: 1
+    dynamic_type: int64_t
     is_nullable: false
-    name: i3
+    name: ragged_idx
+    type: int64_t
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: min_seqlen
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: max_seqlen
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
+  schema_order_arguments:
+  - annotation: a
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::IntArrayRef
+    dynamic_type: at::Tensor
     is_nullable: false
-    name: expand1
-    type: at::IntArrayRef
+    name: offsets
+    type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::IntArrayRef
+    dynamic_type: at::Tensor
     is_nullable: false
-    name: expand2
-    type: at::IntArrayRef
+    name: dummy
+    type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::IntArrayRef
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: lengths
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: 1
+    dynamic_type: int64_t
     is_nullable: false
-    name: expand3
-    type: at::IntArrayRef
+    name: ragged_idx
+    type: int64_t
   - annotation: null
-    dynamic_type: at::IntArrayRef
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: min_seqlen
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: max_seqlen
+    type: const ::std::optional<at::Tensor> &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _nested_view_from_jagged_copy
+  operator_name: _nested_view_from_jagged_copy
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_nested_view_from_jagged_copy(Tensor self, Tensor offsets, Tensor dummy, Tensor? lengths=None, int ragged_idx=1, Tensor? min_seqlen=None, Tensor? max_seqlen=None) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
     is_nullable: false
-    name: sumdim
-    type: at::IntArrayRef
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: offsets
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: dummy
+    type: const at::Tensor &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: lengths
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: int64_t
     is_nullable: false
-    name: unroll_dim
+    name: ragged_idx
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t)
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: min_seqlen
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: max_seqlen
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: offsets
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: dummy
+    type: const at::Tensor &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: lengths
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: 1
+    dynamic_type: int64_t
+    is_nullable: false
+    name: ragged_idx
+    type: int64_t
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: min_seqlen
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: max_seqlen
+    type: const ::std::optional<at::Tensor> &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _nested_get_values
+  operator_name: _nested_get_values
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_nested_get_values(Tensor(a) self) -> Tensor(a)
+  arguments:
+  - annotation: a
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &)
+  schema_order_arguments:
+  - annotation: a
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _nested_get_values_copy
+  operator_name: _nested_get_values_copy
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_nested_get_values_copy(Tensor self) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _nested_get_offsets
+  operator_name: _nested_get_offsets
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_nested_get_offsets(Tensor self) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _nested_get_lengths
+  operator_name: _nested_get_lengths
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_nested_get_lengths(Tensor self) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _nested_get_ragged_idx
+  operator_name: _nested_get_ragged_idx
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_nested_get_ragged_idx(Tensor self) -> int
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  schema_order_cpp_signature: int64_t (const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: int64_t
+    name: result
+    type: int64_t
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _nested_get_min_seqlen
+  operator_name: _nested_get_min_seqlen
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_nested_get_min_seqlen(Tensor self) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _nested_get_max_seqlen
+  operator_name: _nested_get_max_seqlen
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_nested_get_max_seqlen(Tensor self) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _nested_get_jagged_dummy
+  operator_name: _nested_get_jagged_dummy
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: dummy
+  schema_string: aten::_nested_get_jagged_dummy(Tensor any) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: any
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: any
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _nested_compute_contiguous_strides_offsets
+  operator_name: _nested_compute_contiguous_strides_offsets
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_nested_compute_contiguous_strides_offsets(Tensor nested_size) -> (Tensor, Tensor)
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: nested_size
+    type: const at::Tensor &
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: nested_size
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result0
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    name: result1
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _trilinear
+  operator_name: _trilinear
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_trilinear(Tensor i1, Tensor i2, Tensor i3, int[] expand1, int[] expand2, int[] expand3, int[] sumdim, int unroll_dim=1) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: i1
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: i2
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: i3
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: expand1
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: expand2
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: expand3
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: sumdim
+    type: at::IntArrayRef
+  - annotation: null
+    default: 1
+    dynamic_type: int64_t
+    is_nullable: false
+    name: unroll_dim
+    type: int64_t
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -64675,12 +69467,12 @@
     name: return_counts
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, bool, bool, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, bool, bool, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -64700,11 +69492,11 @@
     name: return_counts
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - namespace
@@ -65028,18 +69820,18 @@
     name: x
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: N
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
     name: increasing
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<int64_t>, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<int64_t>, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -65047,11 +69839,11 @@
     name: x
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: N
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -65199,7 +69991,7 @@
   overload_name: correction
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::var.correction(Tensor self, int[1]? dim=None, *, int? correction=None, bool keepdim=False) -> Tensor
+  schema_string: aten::var.correction(Tensor self, int[1]? dim=None, *, Scalar? correction=None, bool keepdim=False) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -65207,19 +69999,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -65227,7 +70019,7 @@
     kwarg_only: true
     name: keepdim
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, c10::optional<int64_t>, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, const ::std::optional<at::Scalar> &, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -65235,19 +70027,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -65362,7 +70154,7 @@
   overload_name: correction_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::var.correction_out(Tensor self, int[1]? dim=None, *, int? correction=None, bool keepdim=False, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::var.correction_out(Tensor self, int[1]? dim=None, *, Scalar? correction=None, bool keepdim=False, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -65377,19 +70169,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -65397,7 +70189,7 @@
     kwarg_only: true
     name: keepdim
     type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, c10::optional<int64_t>, bool, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, const ::std::optional<at::Scalar> &, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -65405,19 +70197,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -65610,7 +70402,7 @@
   overload_name: correction_names
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::var.correction_names(Tensor self, Dimname[1] dim, *, int? correction=None, bool keepdim=False) -> Tensor
+  schema_string: aten::var.correction_names(Tensor self, Dimname[1] dim, *, Scalar? correction=None, bool keepdim=False) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -65624,12 +70416,12 @@
     size: 1
     type: at::DimnameList
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -65637,7 +70429,7 @@
     kwarg_only: true
     name: keepdim
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::DimnameList, c10::optional<int64_t>, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::DimnameList, const ::std::optional<at::Scalar> &, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -65651,12 +70443,12 @@
     size: 1
     type: at::DimnameList
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -65686,7 +70478,7 @@
   overload_name: correction_names_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::var.correction_names_out(Tensor self, Dimname[1] dim, *, int? correction=None, bool keepdim=False, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::var.correction_names_out(Tensor self, Dimname[1] dim, *, Scalar? correction=None, bool keepdim=False, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -65707,12 +70499,12 @@
     size: 1
     type: at::DimnameList
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -65720,7 +70512,7 @@
     kwarg_only: true
     name: keepdim
     type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::DimnameList, c10::optional<int64_t>, bool, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::DimnameList, const ::std::optional<at::Scalar> &, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -65734,12 +70526,12 @@
     size: 1
     type: at::DimnameList
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -65899,7 +70691,7 @@
   overload_name: correction
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::var_mean.correction(Tensor self, int[1]? dim=None, *, int? correction=None, bool keepdim=False) -> (Tensor, Tensor)
+  schema_string: aten::var_mean.correction(Tensor self, int[1]? dim=None, *, Scalar? correction=None, bool keepdim=False) -> (Tensor, Tensor)
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -65907,19 +70699,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -65927,7 +70719,7 @@
     kwarg_only: true
     name: keepdim
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, at::OptionalIntArrayRef, c10::optional<int64_t>, bool)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, at::OptionalIntArrayRef, const ::std::optional<at::Scalar> &, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -65935,19 +70727,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -66053,7 +70845,7 @@
   overload_name: correction_names
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::var_mean.correction_names(Tensor self, Dimname[1] dim, *, int? correction=None, bool keepdim=False) -> (Tensor, Tensor)
+  schema_string: aten::var_mean.correction_names(Tensor self, Dimname[1] dim, *, Scalar? correction=None, bool keepdim=False) -> (Tensor, Tensor)
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -66067,12 +70859,12 @@
     size: 1
     type: at::DimnameList
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -66080,7 +70872,7 @@
     kwarg_only: true
     name: keepdim
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, at::DimnameList, c10::optional<int64_t>, bool)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, at::DimnameList, const ::std::optional<at::Scalar> &, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -66094,12 +70886,12 @@
     size: 1
     type: at::DimnameList
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -66846,7 +71638,7 @@
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - annotation: null
     default: '{}'
     dynamic_type: at::TensorOptions
@@ -66854,7 +71646,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, c10::optional<at::DimnameList>, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, ::std::optional<at::DimnameList>, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -66866,35 +71658,35 @@
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -66916,7 +71708,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_efficientzerotensor(int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
+  schema_string: aten::_efficientzerotensor(SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -66930,7 +71722,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -66938,33 +71730,33 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -67000,7 +71792,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -67008,33 +71800,33 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -67120,13 +71912,13 @@
     name: options
     type: at::TensorOptions
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>, c10::optional<at::MemoryFormat>)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>, ::std::optional<at::MemoryFormat>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -67134,40 +71926,40 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   method_of:
   - Type
   - namespace
@@ -67242,12 +72034,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -67255,11 +72047,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - namespace
@@ -67344,12 +72136,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -67357,11 +72149,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - namespace
@@ -67391,12 +72183,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -67404,11 +72196,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - namespace
@@ -67443,12 +72235,12 @@
     name: prob
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -67461,11 +72253,11 @@
     name: prob
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - namespace
@@ -67545,7 +72337,7 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -67561,8 +72353,8 @@
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::optional<at::Scalar> &, at::IntArrayRef, bool, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const ::std::optional<at::Scalar> &, at::IntArrayRef, bool, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -67573,7 +72365,7 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -67589,7 +72381,7 @@
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - namespace
@@ -67606,6 +72398,515 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: _batch_norm_with_update
+  operator_name: _batch_norm_with_update
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_batch_norm_with_update(Tensor input, Tensor? weight, Tensor? bias, Tensor(a!) running_mean, Tensor(b!) running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor, Tensor)
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: weight
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: running_mean
+    type: at::Tensor &
+  - annotation: b!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: running_var
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: momentum
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: eps
+    type: double
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, at::Tensor &, at::Tensor &, double, double)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: weight
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: running_mean
+    type: at::Tensor &
+  - annotation: b!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: running_var
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: momentum
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: eps
+    type: double
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result0
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    name: result1
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    name: result2
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    name: result3
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _batch_norm_with_update_out
+  operator_name: _batch_norm_with_update
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_batch_norm_with_update.out(Tensor input, Tensor? weight, Tensor? bias, Tensor(a!) running_mean, Tensor(b!) running_var, float momentum, float eps, *, Tensor(d!) out, Tensor(e!) save_mean, Tensor(f!) save_invstd, Tensor(g!) reserve) -> (Tensor(d!), Tensor(e!), Tensor(f!), Tensor(g!))
+  arguments:
+  - allocate: true
+    annotation: d!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - allocate: true
+    annotation: e!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: save_mean
+    output: true
+    type: at::Tensor &
+  - allocate: true
+    annotation: f!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: save_invstd
+    output: true
+    type: at::Tensor &
+  - allocate: true
+    annotation: g!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: reserve
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: weight
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: running_mean
+    type: at::Tensor &
+  - annotation: b!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: running_var
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: momentum
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: eps
+    type: double
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, at::Tensor &, at::Tensor &, double, double, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: weight
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: running_mean
+    type: at::Tensor &
+  - annotation: b!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: running_var
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: momentum
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: eps
+    type: double
+  - allocate: true
+    annotation: d!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - allocate: true
+    annotation: e!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: save_mean
+    output: true
+    type: at::Tensor &
+  - allocate: true
+    annotation: f!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: save_invstd
+    output: true
+    type: at::Tensor &
+  - allocate: true
+    annotation: g!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: reserve
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  - dynamic_type: at::Tensor
+    name: save_mean
+    type: at::Tensor &
+  - dynamic_type: at::Tensor
+    name: save_invstd
+    type: at::Tensor &
+  - dynamic_type: at::Tensor
+    name: reserve
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _batch_norm_no_update
+  operator_name: _batch_norm_no_update
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_batch_norm_no_update(Tensor input, Tensor? weight, Tensor? bias, Tensor? running_mean, Tensor? running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor, Tensor)
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: weight
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: running_mean
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: running_var
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: momentum
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: eps
+    type: double
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, double, double)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: weight
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: running_mean
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: running_var
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: momentum
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: eps
+    type: double
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result0
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    name: result1
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    name: result2
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    name: result3
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: batch_norm_backward
+  operator_name: batch_norm_backward
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::batch_norm_backward(Tensor grad_out, Tensor input, Tensor weight, Tensor? running_mean, Tensor? running_var, Tensor? save_mean, Tensor? save_var, bool update, float eps, bool[3] output_mask, Tensor reserve) -> (Tensor, Tensor, Tensor)
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: grad_out
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: weight
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: running_mean
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: running_var
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: save_mean
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: save_var
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    name: update
+    type: bool
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: eps
+    type: double
+  - annotation: null
+    dynamic_type: ::std::array<bool,3>
+    is_nullable: false
+    name: output_mask
+    type: ::std::array<bool,3>
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: reserve
+    type: const at::Tensor &
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, bool, double, ::std::array<bool,3>, const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: grad_out
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: weight
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: running_mean
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: running_var
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: save_mean
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: save_var
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    name: update
+    type: bool
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: eps
+    type: double
+  - annotation: null
+    dynamic_type: ::std::array<bool,3>
+    is_nullable: false
+    name: output_mask
+    type: ::std::array<bool,3>
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: reserve
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result0
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    name: result1
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    name: result2
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: _sparse_sum
   operator_name: _sparse_sum
   overload_name: ''
@@ -67874,13 +73175,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, bool, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, bool, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -67900,12 +73201,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - namespace
@@ -67947,13 +73248,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, bool, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, bool, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -67973,12 +73274,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - namespace
@@ -68013,12 +73314,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -68031,11 +73332,11 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - namespace
@@ -68070,13 +73371,13 @@
     name: dim
     type: at::Dimname
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::Dimname, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::Dimname, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -68089,12 +73390,12 @@
     name: dim
     type: at::Dimname
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - namespace
@@ -68249,12 +73550,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -68267,11 +73568,11 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - namespace
@@ -68306,13 +73607,13 @@
     name: dim
     type: at::Dimname
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::Dimname, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::Dimname, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -68325,12 +73626,12 @@
     name: dim
     type: at::Dimname
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - namespace
@@ -68490,12 +73791,12 @@
     name: shape
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     name: layout
-    type: c10::optional<at::Layout>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, c10::optional<at::Layout>)
+    type: ::std::optional<at::Layout>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, ::std::optional<at::Layout>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -68513,11 +73814,11 @@
     name: shape
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   method_of:
   - Type
   - namespace
@@ -68550,14 +73851,14 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::ScalarType
     is_nullable: false
     kwarg_only: true
     name: dtype
     type: at::ScalarType
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::optional<at::Scalar> &, at::ScalarType)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const ::std::optional<at::Scalar> &, at::ScalarType)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -68568,7 +73869,7 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::ScalarType
     is_nullable: false
@@ -68656,7 +73957,7 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -68674,7 +73975,7 @@
     kwarg_only: true
     name: dtype
     type: at::ScalarType
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::optional<at::Scalar> &, at::IntArrayRef, bool, at::ScalarType)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const ::std::optional<at::Scalar> &, at::IntArrayRef, bool, at::ScalarType)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -68685,7 +73986,7 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -68736,7 +74037,7 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -68749,7 +74050,7 @@
     is_nullable: false
     name: keepdim
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::optional<at::Scalar> &, at::IntArrayRef, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const ::std::optional<at::Scalar> &, at::IntArrayRef, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -68760,7 +74061,7 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -68813,7 +74114,7 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -68831,7 +74132,7 @@
     kwarg_only: true
     name: dtype
     type: at::ScalarType
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const c10::optional<at::Scalar> &, at::IntArrayRef, bool, at::ScalarType, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const ::std::optional<at::Scalar> &, at::IntArrayRef, bool, at::ScalarType, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -68842,7 +74143,7 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -68906,7 +74207,7 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -68919,7 +74220,7 @@
     is_nullable: false
     name: keepdim
     type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const c10::optional<at::Scalar> &, at::IntArrayRef, bool, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const ::std::optional<at::Scalar> &, at::IntArrayRef, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -68930,7 +74231,7 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -68982,7 +74283,7 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::DimnameList
     is_nullable: false
@@ -69000,7 +74301,7 @@
     kwarg_only: true
     name: dtype
     type: at::ScalarType
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::optional<at::Scalar> &, at::DimnameList, bool, at::ScalarType)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const ::std::optional<at::Scalar> &, at::DimnameList, bool, at::ScalarType)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -69011,7 +74312,7 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::DimnameList
     is_nullable: false
@@ -69062,7 +74363,7 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::DimnameList
     is_nullable: false
@@ -69075,7 +74376,7 @@
     is_nullable: false
     name: keepdim
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::optional<at::Scalar> &, at::DimnameList, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const ::std::optional<at::Scalar> &, at::DimnameList, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -69086,7 +74387,7 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::DimnameList
     is_nullable: false
@@ -69139,7 +74440,7 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::DimnameList
     is_nullable: false
@@ -69157,7 +74458,7 @@
     kwarg_only: true
     name: dtype
     type: at::ScalarType
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const c10::optional<at::Scalar> &, at::DimnameList, bool, at::ScalarType, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const ::std::optional<at::Scalar> &, at::DimnameList, bool, at::ScalarType, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -69168,7 +74469,7 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::DimnameList
     is_nullable: false
@@ -69232,7 +74533,7 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::DimnameList
     is_nullable: false
@@ -69245,7 +74546,7 @@
     is_nullable: false
     name: keepdim
     type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const c10::optional<at::Scalar> &, at::DimnameList, bool, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const ::std::optional<at::Scalar> &, at::DimnameList, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -69256,7 +74557,7 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::DimnameList
     is_nullable: false
@@ -69790,13 +75091,13 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::MemoryFormat>)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::MemoryFormat>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -69804,12 +75105,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   method_of:
   - Type
   - Tensor
@@ -69881,13 +75182,13 @@
     name: the_template
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: const at::Tensor & (const at::Tensor &, const at::Tensor &, c10::optional<at::MemoryFormat>)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: const at::Tensor & (const at::Tensor &, const at::Tensor &, ::std::optional<at::MemoryFormat>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -69900,12 +75201,12 @@
     name: the_template
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   method_of:
   - Type
   - Tensor
@@ -71767,89 +77068,103 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: sparse_compressed_tensor
-  operator_name: sparse_compressed_tensor
-  overload_name: comp_plain_value_size
+- name: _scaled_mm
+  operator_name: _scaled_mm
+  overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::sparse_compressed_tensor.comp_plain_value_size(Tensor compressed_indices, Tensor plain_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
+  schema_string: aten::_scaled_mm(Tensor self, Tensor mat2, Tensor scale_a, Tensor scale_b, Tensor? bias=None, Tensor? scale_result=None, ScalarType? out_dtype=None, bool use_fast_accum=False) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: compressed_indices
+    name: self
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: plain_indices
+    name: mat2
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: values
+    name: scale_a
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::IntArrayRef
+    dynamic_type: at::Tensor
     is_nullable: false
-    name: size
-    type: at::IntArrayRef
+    name: scale_b
+    type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::TensorOptions
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: scale_result
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    name: out_dtype
+    type: ::std::optional<at::ScalarType>
+  - annotation: null
+    default: false
+    dynamic_type: bool
     is_nullable: false
-    kwarg_only: true
-    name: options
-    type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+    name: use_fast_accum
+    type: bool
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, ::std::optional<at::ScalarType>, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: compressed_indices
+    name: self
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: plain_indices
+    name: mat2
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: values
+    name: scale_a
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::IntArrayRef
+    dynamic_type: at::Tensor
     is_nullable: false
-    name: size
-    type: at::IntArrayRef
+    name: scale_b
+    type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: at::ScalarType
+    default: '{}'
+    dynamic_type: at::Tensor
     is_nullable: true
-    kwarg_only: true
-    name: dtype
-    type: c10::optional<at::ScalarType>
+    name: bias
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: at::Layout
+    default: '{}'
+    dynamic_type: at::Tensor
     is_nullable: true
-    kwarg_only: true
-    name: layout
-    type: c10::optional<at::Layout>
+    name: scale_result
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: at::Device
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
     is_nullable: true
-    kwarg_only: true
-    name: device
-    type: c10::optional<at::Device>
+    name: out_dtype
+    type: ::std::optional<at::ScalarType>
   - annotation: null
     default: false
     dynamic_type: bool
-    is_nullable: true
-    kwarg_only: true
-    name: pin_memory
-    type: c10::optional<bool>
+    is_nullable: false
+    name: use_fast_accum
+    type: bool
   method_of:
   - Type
   - namespace
@@ -71860,95 +77175,123 @@
     name: result
     type: at::Tensor
   inplace: false
-  is_factory_method: true
-  abstract: false
+  is_factory_method: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
-- name: sparse_csr_tensor
-  operator_name: sparse_csr_tensor
-  overload_name: crow_col_value_size
+  has_math_kernel: false
+- name: _scaled_mm_out
+  operator_name: _scaled_mm
+  overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::sparse_csr_tensor.crow_col_value_size(Tensor crow_indices, Tensor col_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
+  schema_string: aten::_scaled_mm.out(Tensor self, Tensor mat2, Tensor scale_a, Tensor scale_b, Tensor? bias=None, Tensor? scale_result=None, ScalarType? out_dtype=None, bool use_fast_accum=False, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: crow_indices
+    name: self
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: col_indices
+    name: mat2
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: values
+    name: scale_a
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::IntArrayRef
+    dynamic_type: at::Tensor
     is_nullable: false
-    name: size
-    type: at::IntArrayRef
+    name: scale_b
+    type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::TensorOptions
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: scale_result
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    name: out_dtype
+    type: ::std::optional<at::ScalarType>
+  - annotation: null
+    default: false
+    dynamic_type: bool
     is_nullable: false
-    kwarg_only: true
-    name: options
-    type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+    name: use_fast_accum
+    type: bool
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, ::std::optional<at::ScalarType>, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: crow_indices
+    name: self
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: col_indices
+    name: mat2
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: values
+    name: scale_a
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::IntArrayRef
+    dynamic_type: at::Tensor
     is_nullable: false
-    name: size
-    type: at::IntArrayRef
+    name: scale_b
+    type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: at::ScalarType
+    default: '{}'
+    dynamic_type: at::Tensor
     is_nullable: true
-    kwarg_only: true
-    name: dtype
-    type: c10::optional<at::ScalarType>
+    name: bias
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: at::Layout
+    default: '{}'
+    dynamic_type: at::Tensor
     is_nullable: true
-    kwarg_only: true
-    name: layout
-    type: c10::optional<at::Layout>
+    name: scale_result
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: at::Device
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
     is_nullable: true
-    kwarg_only: true
-    name: device
-    type: c10::optional<at::Device>
+    name: out_dtype
+    type: ::std::optional<at::ScalarType>
   - annotation: null
     default: false
     dynamic_type: bool
-    is_nullable: true
-    kwarg_only: true
-    name: pin_memory
-    type: c10::optional<bool>
+    is_nullable: false
+    name: use_fast_accum
+    type: bool
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
   method_of:
   - Type
   - namespace
@@ -71956,98 +77299,108 @@
   python_module: ''
   returns:
   - dynamic_type: at::Tensor
-    name: result
-    type: at::Tensor
+    name: out
+    type: at::Tensor &
   inplace: false
-  is_factory_method: true
-  abstract: false
+  is_factory_method: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
-- name: sparse_csc_tensor
-  operator_name: sparse_csc_tensor
-  overload_name: ccol_row_value_size
+  has_math_kernel: false
+- name: _sparse_compressed_tensor_with_dims
+  operator_name: _sparse_compressed_tensor_with_dims
+  overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::sparse_csc_tensor.ccol_row_value_size(Tensor ccol_indices, Tensor row_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
+  schema_string: aten::_sparse_compressed_tensor_with_dims(int nnz, int dense_dim, int[] size, int[] blocksize, ScalarType index_dtype, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
   arguments:
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: int64_t
     is_nullable: false
-    name: ccol_indices
-    type: const at::Tensor &
+    name: nnz
+    type: int64_t
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: int64_t
     is_nullable: false
-    name: row_indices
-    type: const at::Tensor &
+    name: dense_dim
+    type: int64_t
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: at::IntArrayRef
     is_nullable: false
-    name: values
-    type: const at::Tensor &
+    name: size
+    type: at::IntArrayRef
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
-    name: size
+    name: blocksize
     type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: at::ScalarType
+    is_nullable: false
+    name: index_dtype
+    type: at::ScalarType
   - annotation: null
     dynamic_type: at::TensorOptions
     is_nullable: false
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, int64_t, at::IntArrayRef, at::IntArrayRef, at::ScalarType, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: int64_t
     is_nullable: false
-    name: ccol_indices
-    type: const at::Tensor &
+    name: nnz
+    type: int64_t
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: int64_t
     is_nullable: false
-    name: row_indices
-    type: const at::Tensor &
+    name: dense_dim
+    type: int64_t
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: at::IntArrayRef
     is_nullable: false
-    name: values
-    type: const at::Tensor &
+    name: size
+    type: at::IntArrayRef
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
-    name: size
+    name: blocksize
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: false
+    name: index_dtype
+    type: at::ScalarType
+  - annotation: null
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -72059,27 +77412,27 @@
     type: at::Tensor
   inplace: false
   is_factory_method: true
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
-- name: sparse_bsr_tensor
-  operator_name: sparse_bsr_tensor
-  overload_name: crow_col_value_size
+  has_math_kernel: false
+- name: sparse_compressed_tensor
+  operator_name: sparse_compressed_tensor
+  overload_name: comp_plain_value_size
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::sparse_bsr_tensor.crow_col_value_size(Tensor crow_indices, Tensor col_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
+  schema_string: aten::sparse_compressed_tensor.comp_plain_value_size(Tensor compressed_indices, Tensor plain_indices, Tensor values, SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: crow_indices
+    name: compressed_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: col_indices
+    name: plain_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
@@ -72097,17 +77450,17 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: crow_indices
+    name: compressed_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: col_indices
+    name: plain_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
@@ -72120,33 +77473,33 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -72158,27 +77511,27 @@
     type: at::Tensor
   inplace: false
   is_factory_method: true
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
-- name: sparse_bsc_tensor
-  operator_name: sparse_bsc_tensor
-  overload_name: ccol_row_value_size
+  has_math_kernel: false
+- name: sparse_csr_tensor
+  operator_name: sparse_csr_tensor
+  overload_name: crow_col_value_size
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::sparse_bsc_tensor.ccol_row_value_size(Tensor ccol_indices, Tensor row_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
+  schema_string: aten::sparse_csr_tensor.crow_col_value_size(Tensor crow_indices, Tensor col_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: ccol_indices
+    name: crow_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: row_indices
+    name: col_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
@@ -72196,17 +77549,17 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: ccol_indices
+    name: crow_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: row_indices
+    name: col_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
@@ -72219,33 +77572,33 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -72262,45 +77615,50 @@
   with_gil: false
   deprecated: false
   has_math_kernel: true
-- name: sparse_compressed_tensor
-  operator_name: sparse_compressed_tensor
-  overload_name: comp_plain_value
+- name: sparse_csc_tensor
+  operator_name: sparse_csc_tensor
+  overload_name: ccol_row_value_size
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::sparse_compressed_tensor.comp_plain_value(Tensor compressed_indices, Tensor plain_indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
+  schema_string: aten::sparse_csc_tensor.ccol_row_value_size(Tensor ccol_indices, Tensor row_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: compressed_indices
+    name: ccol_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: plain_indices
+    name: row_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
     name: values
     type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: size
+    type: at::IntArrayRef
   - annotation: null
     dynamic_type: at::TensorOptions
     is_nullable: false
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: compressed_indices
+    name: ccol_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: plain_indices
+    name: row_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
@@ -72308,33 +77666,38 @@
     name: values
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: size
+    type: at::IntArrayRef
+  - annotation: null
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -72351,12 +77714,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: true
-- name: sparse_csr_tensor
-  operator_name: sparse_csr_tensor
-  overload_name: crow_col_value
+- name: sparse_bsr_tensor
+  operator_name: sparse_bsr_tensor
+  overload_name: crow_col_value_size
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::sparse_csr_tensor.crow_col_value(Tensor crow_indices, Tensor col_indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
+  schema_string: aten::sparse_bsr_tensor.crow_col_value_size(Tensor crow_indices, Tensor col_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -72373,13 +77736,18 @@
     is_nullable: false
     name: values
     type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: size
+    type: at::IntArrayRef
   - annotation: null
     dynamic_type: at::TensorOptions
     is_nullable: false
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -72397,33 +77765,38 @@
     name: values
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: size
+    type: at::IntArrayRef
+  - annotation: null
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -72440,12 +77813,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: true
-- name: sparse_csc_tensor
-  operator_name: sparse_csc_tensor
-  overload_name: ccol_row_value
+- name: sparse_bsc_tensor
+  operator_name: sparse_bsc_tensor
+  overload_name: ccol_row_value_size
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::sparse_csc_tensor.ccol_row_value(Tensor ccol_indices, Tensor row_indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
+  schema_string: aten::sparse_bsc_tensor.ccol_row_value_size(Tensor ccol_indices, Tensor row_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -72462,13 +77835,18 @@
     is_nullable: false
     name: values
     type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: size
+    type: at::IntArrayRef
   - annotation: null
     dynamic_type: at::TensorOptions
     is_nullable: false
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -72486,33 +77864,38 @@
     name: values
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: size
+    type: at::IntArrayRef
+  - annotation: null
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -72529,12 +77912,101 @@
   with_gil: false
   deprecated: false
   has_math_kernel: true
-- name: sparse_bsr_tensor
-  operator_name: sparse_bsr_tensor
+- name: sparse_compressed_tensor
+  operator_name: sparse_compressed_tensor
+  overload_name: comp_plain_value
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::sparse_compressed_tensor.comp_plain_value(Tensor compressed_indices, Tensor plain_indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: compressed_indices
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: plain_indices
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: values
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::TensorOptions
+    is_nullable: false
+    kwarg_only: true
+    name: options
+    type: at::TensorOptions
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: compressed_indices
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: plain_indices
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: values
+    type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Layout
+    is_nullable: true
+    kwarg_only: true
+    name: layout
+    type: ::std::optional<at::Layout>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Device
+    is_nullable: true
+    kwarg_only: true
+    name: device
+    type: ::std::optional<at::Device>
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: true
+    kwarg_only: true
+    name: pin_memory
+    type: ::std::optional<bool>
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: true
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: sparse_csr_tensor
+  operator_name: sparse_csr_tensor
   overload_name: crow_col_value
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::sparse_bsr_tensor.crow_col_value(Tensor crow_indices, Tensor col_indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
+  schema_string: aten::sparse_csr_tensor.crow_col_value(Tensor crow_indices, Tensor col_indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -72557,7 +78029,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -72575,33 +78047,33 @@
     name: values
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -72618,12 +78090,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: true
-- name: sparse_bsc_tensor
-  operator_name: sparse_bsc_tensor
+- name: sparse_csc_tensor
+  operator_name: sparse_csc_tensor
   overload_name: ccol_row_value
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::sparse_bsc_tensor.ccol_row_value(Tensor ccol_indices, Tensor row_indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
+  schema_string: aten::sparse_csc_tensor.ccol_row_value(Tensor ccol_indices, Tensor row_indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -72646,7 +78118,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -72664,33 +78136,33 @@
     name: values
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -72707,22 +78179,22 @@
   with_gil: false
   deprecated: false
   has_math_kernel: true
-- name: _sparse_compressed_tensor_unsafe
-  operator_name: _sparse_compressed_tensor_unsafe
-  overload_name: ''
+- name: sparse_bsr_tensor
+  operator_name: sparse_bsr_tensor
+  overload_name: crow_col_value
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_sparse_compressed_tensor_unsafe(Tensor compressed_indices, Tensor plain_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
+  schema_string: aten::sparse_bsr_tensor.crow_col_value(Tensor crow_indices, Tensor col_indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: compressed_indices
+    name: crow_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: plain_indices
+    name: col_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
@@ -72730,28 +78202,22 @@
     name: values
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: size
-    type: at::IntArrayRef
-  - annotation: null
-    default: '{}'
     dynamic_type: at::TensorOptions
     is_nullable: false
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: compressed_indices
+    name: crow_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: plain_indices
+    name: col_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
@@ -72759,38 +78225,122 @@
     name: values
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::IntArrayRef
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Layout
+    is_nullable: true
+    kwarg_only: true
+    name: layout
+    type: ::std::optional<at::Layout>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Device
+    is_nullable: true
+    kwarg_only: true
+    name: device
+    type: ::std::optional<at::Device>
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: true
+    kwarg_only: true
+    name: pin_memory
+    type: ::std::optional<bool>
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: true
+  abstract: false
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: true
+- name: sparse_bsc_tensor
+  operator_name: sparse_bsc_tensor
+  overload_name: ccol_row_value
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::sparse_bsc_tensor.ccol_row_value(Tensor ccol_indices, Tensor row_indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
     is_nullable: false
-    name: size
-    type: at::IntArrayRef
+    name: ccol_indices
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: row_indices
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: values
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::TensorOptions
+    is_nullable: false
+    kwarg_only: true
+    name: options
+    type: at::TensorOptions
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: ccol_indices
+    type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: row_indices
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: values
+    type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: false
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -72807,22 +78357,22 @@
   with_gil: false
   deprecated: false
   has_math_kernel: true
-- name: _sparse_csr_tensor_unsafe
-  operator_name: _sparse_csr_tensor_unsafe
+- name: _sparse_compressed_tensor_unsafe
+  operator_name: _sparse_compressed_tensor_unsafe
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_sparse_csr_tensor_unsafe(Tensor crow_indices, Tensor col_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
+  schema_string: aten::_sparse_compressed_tensor_unsafe(Tensor compressed_indices, Tensor plain_indices, Tensor values, SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: crow_indices
+    name: compressed_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: col_indices
+    name: plain_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
@@ -72841,17 +78391,17 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: crow_indices
+    name: compressed_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: col_indices
+    name: plain_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
@@ -72864,33 +78414,33 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -72907,22 +78457,22 @@
   with_gil: false
   deprecated: false
   has_math_kernel: true
-- name: _sparse_csc_tensor_unsafe
-  operator_name: _sparse_csc_tensor_unsafe
+- name: _sparse_csr_tensor_unsafe
+  operator_name: _sparse_csr_tensor_unsafe
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_sparse_csc_tensor_unsafe(Tensor ccol_indices, Tensor row_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
+  schema_string: aten::_sparse_csr_tensor_unsafe(Tensor crow_indices, Tensor col_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: ccol_indices
+    name: crow_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: row_indices
+    name: col_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
@@ -72941,17 +78491,17 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: ccol_indices
+    name: crow_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: row_indices
+    name: col_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
@@ -72964,33 +78514,33 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -73007,22 +78557,22 @@
   with_gil: false
   deprecated: false
   has_math_kernel: true
-- name: _sparse_bsr_tensor_unsafe
-  operator_name: _sparse_bsr_tensor_unsafe
+- name: _sparse_csc_tensor_unsafe
+  operator_name: _sparse_csc_tensor_unsafe
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_sparse_bsr_tensor_unsafe(Tensor crow_indices, Tensor col_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
+  schema_string: aten::_sparse_csc_tensor_unsafe(Tensor ccol_indices, Tensor row_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: crow_indices
+    name: ccol_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: col_indices
+    name: row_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
@@ -73041,8 +78591,79 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: ccol_indices
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: row_indices
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: values
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: size
+    type: at::IntArrayRef
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Layout
+    is_nullable: true
+    kwarg_only: true
+    name: layout
+    type: ::std::optional<at::Layout>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Device
+    is_nullable: true
+    kwarg_only: true
+    name: device
+    type: ::std::optional<at::Device>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    kwarg_only: true
+    name: pin_memory
+    type: ::std::optional<bool>
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: true
+  abstract: false
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: true
+- name: _sparse_bsr_tensor_unsafe
+  operator_name: _sparse_bsr_tensor_unsafe
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_sparse_bsr_tensor_unsafe(Tensor crow_indices, Tensor col_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
+  arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -73064,33 +78685,62 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: '{}'
+    dynamic_type: at::TensorOptions
+    is_nullable: false
+    kwarg_only: true
+    name: options
+    type: at::TensorOptions
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: crow_indices
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: col_indices
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: values
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: size
+    type: at::IntArrayRef
+  - annotation: null
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -73141,7 +78791,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -73164,33 +78814,33 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -73225,7 +78875,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -73233,33 +78883,33 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -73281,7 +78931,7 @@
   overload_name: indices
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::sparse_coo_tensor.indices(Tensor indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
+  schema_string: aten::sparse_coo_tensor.indices(Tensor indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool? is_coalesced=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -73300,7 +78950,14 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    kwarg_only: true
+    name: is_coalesced
+    type: ::std::optional<bool>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -73313,33 +78970,40 @@
     name: values
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    kwarg_only: true
+    name: is_coalesced
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -73361,7 +79025,7 @@
   overload_name: indices_size
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::sparse_coo_tensor.indices_size(Tensor indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
+  schema_string: aten::sparse_coo_tensor.indices_size(Tensor indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool? is_coalesced=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -73385,7 +79049,14 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    kwarg_only: true
+    name: is_coalesced
+    type: ::std::optional<bool>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -73403,33 +79074,40 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    kwarg_only: true
+    name: is_coalesced
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -73451,7 +79129,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_sparse_coo_tensor_unsafe(Tensor indices, Tensor values, SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
+  schema_string: aten::_sparse_coo_tensor_unsafe(Tensor indices, Tensor values, SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool? is_coalesced=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -73475,7 +79153,14 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    kwarg_only: true
+    name: is_coalesced
+    type: ::std::optional<bool>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -73493,33 +79178,40 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    kwarg_only: true
+    name: is_coalesced
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -73541,7 +79233,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_validate_sparse_coo_tensor_args(Tensor indices, Tensor values, int[] size) -> ()
+  schema_string: aten::_validate_sparse_coo_tensor_args(Tensor indices, Tensor values, int[] size, bool? is_coalesced=None) -> ()
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -73558,7 +79250,13 @@
     is_nullable: false
     name: size
     type: at::IntArrayRef
-  schema_order_cpp_signature: void (const at::Tensor &, const at::Tensor &, at::IntArrayRef)
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    name: is_coalesced
+    type: ::std::optional<bool>
+  schema_order_cpp_signature: void (const at::Tensor &, const at::Tensor &, at::IntArrayRef, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -73575,6 +79273,12 @@
     is_nullable: false
     name: size
     type: at::IntArrayRef
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    name: is_coalesced
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -73936,7 +79640,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, int64_t, at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, int64_t, at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -73954,33 +79658,33 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -74002,7 +79706,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_sparse_coo_tensor_with_dims_and_tensors(int sparse_dim, int dense_dim, SymInt[] size, Tensor indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
+  schema_string: aten::_sparse_coo_tensor_with_dims_and_tensors(int sparse_dim, int dense_dim, SymInt[] size, Tensor indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False, bool? is_coalesced=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -74035,7 +79739,14 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, int64_t, at::IntArrayRef, const at::Tensor &, const at::Tensor &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    kwarg_only: true
+    name: is_coalesced
+    type: ::std::optional<bool>
+  schema_order_cpp_signature: at::Tensor (int64_t, int64_t, at::IntArrayRef, const at::Tensor &, const at::Tensor &, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -74063,33 +79774,40 @@
     name: values
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    kwarg_only: true
+    name: is_coalesced
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -74281,6 +79999,63 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: _sparse_mask_projection
+  operator_name: _sparse_mask_projection
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_sparse_mask_projection(Tensor self, Tensor mask, bool accumulate_matches=False) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mask
+    type: const at::Tensor &
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: accumulate_matches
+    type: bool
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, bool)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mask
+    type: const at::Tensor &
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: accumulate_matches
+    type: bool
+  method_of:
+  - Type
+  - Tensor
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: _to_cpu
   operator_name: _to_cpu
   overload_name: ''
@@ -74321,7 +80096,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::to_dense(Tensor self, ScalarType? dtype=None) -> Tensor
+  schema_string: aten::to_dense(Tensor self, ScalarType? dtype=None, *, bool? masked_grad=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -74329,12 +80104,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    kwarg_only: true
+    name: masked_grad
+    type: ::std::optional<bool>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::ScalarType>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -74342,11 +80124,18 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    kwarg_only: true
+    name: masked_grad
+    type: ::std::optional<bool>
   method_of:
   - Type
   - Tensor
@@ -74368,7 +80157,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_to_dense(Tensor self, ScalarType? dtype=None) -> Tensor
+  schema_string: aten::_to_dense(Tensor self, ScalarType? dtype=None, bool? masked_grad=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -74376,12 +80165,18 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    name: masked_grad
+    type: ::std::optional<bool>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::ScalarType>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -74389,11 +80184,17 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    name: masked_grad
+    type: ::std::optional<bool>
   method_of:
   - Type
   - Tensor
@@ -74415,7 +80216,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::to_dense_backward(Tensor grad, Tensor input) -> Tensor
+  schema_string: aten::to_dense_backward(Tensor grad, Tensor input, bool? masked_grad=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -74427,7 +80228,13 @@
     is_nullable: false
     name: input
     type: const at::Tensor &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &)
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    name: masked_grad
+    type: ::std::optional<bool>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -74439,6 +80246,12 @@
     is_nullable: false
     name: input
     type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    name: masked_grad
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -75355,17 +81168,17 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: true
+  abstract: false
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: false
-- name: to_sparse
-  operator_name: to_sparse
-  overload_name: ''
+  has_math_kernel: true
+- name: _to_sparse
+  operator_name: _to_sparse
+  overload_name: sparse_dim
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::to_sparse(Tensor self, *, Layout? layout=None, int[2]? blocksize=None, int? dense_dim=None) -> Tensor
+  schema_string: aten::_to_sparse.sparse_dim(Tensor self, int sparse_dim) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -75373,43 +81186,59 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: at::Layout
-    is_nullable: true
-    kwarg_only: true
-    name: layout
-    type: c10::optional<at::Layout>
+    dynamic_type: int64_t
+    is_nullable: false
+    name: sparse_dim
+    type: int64_t
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t)
+  schema_order_arguments:
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: at::IntArrayRef
-    is_nullable: true
-    kwarg_only: true
-    name: blocksize
-    size: 2
-    type: at::OptionalIntArrayRef
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
     dynamic_type: int64_t
-    is_nullable: true
-    kwarg_only: true
-    name: dense_dim
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::Layout>, at::OptionalIntArrayRef, c10::optional<int64_t>)
-  schema_order_arguments:
+    is_nullable: false
+    name: sparse_dim
+    type: int64_t
+  method_of:
+  - Type
+  - Tensor
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: to_sparse
+  operator_name: to_sparse
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::to_sparse(Tensor self, *, Layout? layout=None, int[2]? blocksize=None, int? dense_dim=None) -> Tensor
+  arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     kwarg_only: true
@@ -75417,12 +81246,120 @@
     size: 2
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     kwarg_only: true
     name: dense_dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::Layout>, at::OptionalIntArrayRef, ::std::optional<int64_t>)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Layout
+    is_nullable: true
+    kwarg_only: true
+    name: layout
+    type: ::std::optional<at::Layout>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::IntArrayRef
+    is_nullable: true
+    kwarg_only: true
+    name: blocksize
+    size: 2
+    type: at::OptionalIntArrayRef
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    kwarg_only: true
+    name: dense_dim
+    type: ::std::optional<int64_t>
+  method_of:
+  - Type
+  - Tensor
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: false
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: true
+- name: _to_sparse
+  operator_name: _to_sparse
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_to_sparse(Tensor self, *, Layout? layout=None, int[2]? blocksize=None, int? dense_dim=None) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Layout
+    is_nullable: true
+    kwarg_only: true
+    name: layout
+    type: ::std::optional<at::Layout>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::IntArrayRef
+    is_nullable: true
+    kwarg_only: true
+    name: blocksize
+    size: 2
+    type: at::OptionalIntArrayRef
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    kwarg_only: true
+    name: dense_dim
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::Layout>, at::OptionalIntArrayRef, ::std::optional<int64_t>)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Layout
+    is_nullable: true
+    kwarg_only: true
+    name: layout
+    type: ::std::optional<at::Layout>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::IntArrayRef
+    is_nullable: true
+    kwarg_only: true
+    name: blocksize
+    size: 2
+    type: at::OptionalIntArrayRef
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    kwarg_only: true
+    name: dense_dim
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - Tensor
@@ -75452,12 +81389,59 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    name: dense_dim
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<int64_t>)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    name: dense_dim
+    type: ::std::optional<int64_t>
+  method_of:
+  - Type
+  - Tensor
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: false
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: true
+- name: _to_sparse_csr
+  operator_name: _to_sparse_csr
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_to_sparse_csr(Tensor self, int? dense_dim=None) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dense_dim
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -75465,11 +81449,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dense_dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - Tensor
@@ -75499,12 +81483,59 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    name: dense_dim
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<int64_t>)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    name: dense_dim
+    type: ::std::optional<int64_t>
+  method_of:
+  - Type
+  - Tensor
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: false
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: true
+- name: _to_sparse_csc
+  operator_name: _to_sparse_csc
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_to_sparse_csc(Tensor self, int? dense_dim=None) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dense_dim
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -75512,11 +81543,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dense_dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - Tensor
@@ -75552,12 +81583,12 @@
     size: 2
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dense_dim
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -75571,11 +81602,70 @@
     size: 2
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dense_dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
+  method_of:
+  - Type
+  - Tensor
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: false
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: true
+- name: _to_sparse_bsr
+  operator_name: _to_sparse_bsr
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_to_sparse_bsr(Tensor self, int[2] blocksize, int? dense_dim=None) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: blocksize
+    size: 2
+    type: at::IntArrayRef
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    name: dense_dim
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, ::std::optional<int64_t>)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: blocksize
+    size: 2
+    type: at::IntArrayRef
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    name: dense_dim
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - Tensor
@@ -75611,12 +81701,12 @@
     size: 2
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dense_dim
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -75630,11 +81720,11 @@
     size: 2
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dense_dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - Tensor
@@ -75646,6 +81736,103 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
+  abstract: false
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: true
+- name: _to_sparse_bsc
+  operator_name: _to_sparse_bsc
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_to_sparse_bsc(Tensor self, int[2] blocksize, int? dense_dim=None) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: blocksize
+    size: 2
+    type: at::IntArrayRef
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    name: dense_dim
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, ::std::optional<int64_t>)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: blocksize
+    size: 2
+    type: at::IntArrayRef
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    name: dense_dim
+    type: ::std::optional<int64_t>
+  method_of:
+  - Type
+  - Tensor
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _to_sparse_semi_structured
+  operator_name: _to_sparse_semi_structured
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_to_sparse_semi_structured(Tensor dense) -> (Tensor, Tensor)
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: dense
+    type: const at::Tensor &
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: dense
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result0
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    name: result1
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
   abstract: true
   device_guard: true
   with_gil: false
@@ -75664,12 +81851,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -75677,11 +81864,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - Tensor
@@ -75703,7 +81890,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::mkldnn_reorder_conv2d_weight(Tensor self, int[2] padding=0, int[2] stride=1, int[2] dilation=1, int groups=1, int[]? input_size=None) -> Tensor
+  schema_string: aten::mkldnn_reorder_conv2d_weight(Tensor self, SymInt[2] padding=0, SymInt[2] stride=1, SymInt[2] dilation=1, SymInt groups=1, SymInt[]? input_size=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -75738,7 +81925,7 @@
     name: groups
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: input_size
@@ -75778,7 +81965,7 @@
     name: groups
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: input_size
@@ -75804,7 +81991,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::mkldnn_reorder_conv3d_weight(Tensor self, int[3] padding=0, int[3] stride=1, int[3] dilation=1, int groups=1) -> Tensor
+  schema_string: aten::mkldnn_reorder_conv3d_weight(Tensor self, SymInt[3] padding=0, SymInt[3] stride=1, SymInt[3] dilation=1, SymInt groups=1, SymInt[]? input_size=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -75838,7 +82025,13 @@
     is_nullable: false
     name: groups
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t)
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::IntArrayRef
+    is_nullable: true
+    name: input_size
+    type: at::OptionalIntArrayRef
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, at::OptionalIntArrayRef)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -75872,6 +82065,12 @@
     is_nullable: false
     name: groups
     type: int64_t
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::IntArrayRef
+    is_nullable: true
+    name: input_size
+    type: at::OptionalIntArrayRef
   method_of:
   - Type
   - namespace
@@ -78328,13 +84527,13 @@
     name: non_blocking
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>, bool, c10::optional<at::MemoryFormat>)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>, bool, ::std::optional<at::MemoryFormat>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -78342,33 +84541,33 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -78377,12 +84576,12 @@
     name: non_blocking
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   method_of:
   - Type
   - namespace
@@ -78433,13 +84632,13 @@
     name: copy
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>, bool, bool, c10::optional<at::MemoryFormat>)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>, bool, bool, ::std::optional<at::MemoryFormat>)
   schema_order_arguments:
   - annotation: a
     dynamic_type: at::Tensor
@@ -78447,33 +84646,33 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -78489,12 +84688,12 @@
     name: copy
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   method_of:
   - Type
   - Tensor
@@ -78546,12 +84745,12 @@
     name: copy
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::Device, at::ScalarType, bool, bool, c10::optional<at::MemoryFormat>)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::Device, at::ScalarType, bool, bool, ::std::optional<at::MemoryFormat>)
   schema_order_arguments:
   - annotation: a
     dynamic_type: at::Tensor
@@ -78581,11 +84780,11 @@
     name: copy
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   method_of:
   - Type
   - Tensor
@@ -78632,12 +84831,12 @@
     name: copy
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::ScalarType, bool, bool, c10::optional<at::MemoryFormat>)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::ScalarType, bool, bool, ::std::optional<at::MemoryFormat>)
   schema_order_arguments:
   - annotation: a
     dynamic_type: at::Tensor
@@ -78662,11 +84861,11 @@
     name: copy
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   method_of:
   - Type
   - Tensor
@@ -78713,12 +84912,12 @@
     name: copy
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, bool, bool, c10::optional<at::MemoryFormat>)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, bool, bool, ::std::optional<at::MemoryFormat>)
   schema_order_arguments:
   - annotation: a
     dynamic_type: at::Tensor
@@ -78743,11 +84942,11 @@
     name: copy
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   method_of:
   - Type
   - Tensor
@@ -79160,12 +85359,12 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::can_cast(ScalarType from, ScalarType to) -> bool
+  schema_string: aten::can_cast(ScalarType from_, ScalarType to) -> bool
   arguments:
   - annotation: null
     dynamic_type: at::ScalarType
     is_nullable: false
-    name: from
+    name: from_
     type: at::ScalarType
   - annotation: null
     dynamic_type: at::ScalarType
@@ -79177,7 +85376,7 @@
   - annotation: null
     dynamic_type: at::ScalarType
     is_nullable: false
-    name: from
+    name: from_
     type: at::ScalarType
   - annotation: null
     dynamic_type: at::ScalarType
@@ -79415,23 +85614,23 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::lstm_mps_backward(Tensor grad_y, Tensor? grad_hy, Tensor? grad_cy, Tensor z_state, Tensor cell_state_fwd, Tensor input, Tensor layersOutputs, Tensor[] hx, Tensor[] params, bool has_biases, int num_layers, float dropout, bool train, bool bidirectional, bool batch_first) -> (Tensor, Tensor[], Tensor[])
+  schema_string: aten::lstm_mps_backward(Tensor? grad_y, Tensor? grad_hy, Tensor? grad_cy, Tensor z_state, Tensor cell_state_fwd, Tensor input, Tensor layersOutputs, Tensor[] hx, Tensor[] params, bool has_biases, int num_layers, float dropout, bool train, bool bidirectional, bool batch_first) -> (Tensor, Tensor[], Tensor[])
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
-    is_nullable: false
+    is_nullable: true
     name: grad_y
-    type: const at::Tensor &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_hy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_cy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -79492,23 +85691,23 @@
     is_nullable: false
     name: batch_first
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,::std::vector<at::Tensor>,::std::vector<at::Tensor>> (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, at::TensorList, at::TensorList, bool, int64_t, double, bool, bool, bool)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,::std::vector<at::Tensor>,::std::vector<at::Tensor>> (const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, at::TensorList, at::TensorList, bool, int64_t, double, bool, bool, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
-    is_nullable: false
+    is_nullable: true
     name: grad_y
-    type: const at::Tensor &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_hy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_cy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -79618,14 +85817,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: input_bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: hidden_bias
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -79647,13 +85846,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: input_bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: hidden_bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - namespace
@@ -79687,12 +85886,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_hy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_cy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -79713,18 +85912,18 @@
     is_nullable: false
     name: has_bias
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, const at::Tensor &, bool)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, const at::Tensor &, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_hy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_cy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -79778,12 +85977,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_hy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_cy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -79804,18 +86003,18 @@
     is_nullable: false
     name: has_bias
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, const at::Tensor &, bool)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, const at::Tensor &, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_hy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_cy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -79875,12 +86074,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_hy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_cy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -79895,12 +86094,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: input_bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: hidden_bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -79911,18 +86110,18 @@
     is_nullable: false
     name: cy
     type: const at::Tensor &
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_hy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_cy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -79937,12 +86136,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: input_bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: hidden_bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -80008,14 +86207,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: input_bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: hidden_bias
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -80037,13 +86236,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: input_bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: hidden_bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - namespace
@@ -80161,13 +86360,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: input_bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: hidden_bias
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -80193,12 +86392,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: input_bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: hidden_bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - namespace
@@ -81209,14 +87408,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: b_ih
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: b_hh
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, at::TensorList, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, at::TensorList, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -81243,13 +87442,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: b_ih
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: b_hh
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - namespace
@@ -81301,14 +87500,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: b_ih
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: b_hh
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -81335,13 +87534,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: b_ih
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: b_hh
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - namespace
@@ -81390,14 +87589,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: b_ih
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: b_hh
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -81424,13 +87623,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: b_ih
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: b_hh
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - namespace
@@ -81479,14 +87678,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: b_ih
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: b_hh
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -81513,13 +87712,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: b_ih
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: b_hh
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - namespace
@@ -83162,6 +89361,61 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: masked_scatter_backward
+  operator_name: masked_scatter_backward
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::masked_scatter_backward(Tensor grad_output, Tensor mask, SymInt[] sizes) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: grad_output
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mask
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: sizes
+    type: at::IntArrayRef
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: grad_output
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mask
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: sizes
+    type: at::IntArrayRef
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: _masked_softmax
   operator_name: _masked_softmax
   overload_name: ''
@@ -83180,18 +89434,18 @@
     name: mask
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: mask_type
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, c10::optional<int64_t>, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, ::std::optional<int64_t>, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -83204,17 +89458,17 @@
     name: mask
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: mask_type
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - namespace
@@ -83254,12 +89508,12 @@
     name: mask
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -83277,11 +89531,11 @@
     name: mask
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - namespace
@@ -86648,11 +92902,11 @@
     type: at::Tensor &
   inplace: true
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: bitwise_and_
   operator_name: bitwise_and_
   overload_name: Tensor
@@ -87039,11 +93293,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: bitwise_or
   operator_name: bitwise_or
   overload_name: Scalar_Tensor
@@ -87175,11 +93429,11 @@
     type: at::Tensor &
   inplace: true
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: bitwise_or_
   operator_name: bitwise_or_
   overload_name: Tensor
@@ -87566,11 +93820,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: bitwise_xor
   operator_name: bitwise_xor
   overload_name: Scalar_Tensor
@@ -87702,11 +93956,11 @@
     type: at::Tensor &
   inplace: true
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: bitwise_xor_
   operator_name: bitwise_xor_
   overload_name: Tensor
@@ -89512,15 +95766,15 @@
     dynamic_type: int64_t
     is_nullable: true
     name: to
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, int64_t, c10::optional<int64_t>, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, int64_t, ::std::optional<int64_t>, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -89536,14 +95790,14 @@
     dynamic_type: int64_t
     is_nullable: true
     name: to
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - Tensor
@@ -89578,13 +95832,13 @@
     name: to
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, int64_t, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, int64_t, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -89597,12 +95851,12 @@
     name: to
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - Tensor
@@ -89632,13 +95886,13 @@
     name: self
     type: at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -89646,12 +95900,12 @@
     name: self
     type: at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - Tensor
@@ -89693,13 +95947,13 @@
     name: to
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, double, double, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, double, double, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -89719,12 +95973,12 @@
     name: to
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - Tensor
@@ -89766,13 +96020,13 @@
     name: sigma
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, double, double, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, double, double, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -89792,12 +96046,12 @@
     name: sigma
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - Tensor
@@ -89839,13 +96093,13 @@
     name: std
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, double, double, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, double, double, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -89865,12 +96119,12 @@
     name: std
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - Tensor
@@ -89906,13 +96160,13 @@
     name: lambd
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, double, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, double, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -89926,12 +96180,12 @@
     name: lambd
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - Tensor
@@ -89966,13 +96220,13 @@
     name: p
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, double, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, double, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -89985,12 +96239,12 @@
     name: p
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - Tensor
@@ -90141,12 +96395,12 @@
     name: other
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, c10::optional<int64_t>, at::Tensor &)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, ::std::optional<int64_t>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -90159,11 +96413,11 @@
     name: other
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -90205,12 +96459,12 @@
     name: other
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -90223,11 +96477,11 @@
     name: other
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - Tensor
@@ -90493,7 +96747,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, int64_t, int64_t, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, int64_t, int64_t, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -90517,28 +96771,28 @@
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -90585,7 +96839,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, int64_t, int64_t, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, int64_t, int64_t, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -90609,28 +96863,28 @@
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -94068,12 +100322,12 @@
     name: indices
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, c10::optional<int64_t>, at::Tensor &)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, ::std::optional<int64_t>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -94086,11 +100340,11 @@
     name: indices
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -94132,12 +100386,12 @@
     name: indices
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -94150,11 +100404,11 @@
     name: indices
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - Tensor
@@ -94732,6 +100986,143 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: nonzero_static_out
+  operator_name: nonzero_static
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::nonzero_static.out(Tensor self, *, int size, int fill_value=-1, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    kwarg_only: true
+    name: size
+    type: int64_t
+  - annotation: null
+    default: -1
+    dynamic_type: int64_t
+    is_nullable: false
+    kwarg_only: true
+    name: fill_value
+    type: int64_t
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, int64_t, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    kwarg_only: true
+    name: size
+    type: int64_t
+  - annotation: null
+    default: -1
+    dynamic_type: int64_t
+    is_nullable: false
+    kwarg_only: true
+    name: fill_value
+    type: int64_t
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: nonzero_static
+  operator_name: nonzero_static
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::nonzero_static(Tensor self, *, int size, int fill_value=-1) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    kwarg_only: true
+    name: size
+    type: int64_t
+  - annotation: null
+    default: -1
+    dynamic_type: int64_t
+    is_nullable: false
+    kwarg_only: true
+    name: fill_value
+    type: int64_t
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, int64_t)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    kwarg_only: true
+    name: size
+    type: int64_t
+  - annotation: null
+    default: -1
+    dynamic_type: int64_t
+    is_nullable: false
+    kwarg_only: true
+    name: fill_value
+    type: int64_t
+  method_of:
+  - Type
+  - Tensor
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: nonzero_numpy
   operator_name: nonzero_numpy
   overload_name: ''
@@ -95716,7 +102107,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
@@ -95735,7 +102126,7 @@
     is_nullable: false
     name: label_smoothing
     type: double
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, int64_t, int64_t, double)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, int64_t, double)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -95752,7 +102143,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
@@ -96235,7 +102626,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::linalg_vander(Tensor x, *, int? N=None) -> Tensor
+  schema_string: aten::linalg_vander(Tensor x, *, SymInt? N=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -96243,13 +102634,13 @@
     name: x
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     kwarg_only: true
     name: N
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -96257,12 +102648,12 @@
     name: x
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     kwarg_only: true
     name: N
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - namespace
@@ -98044,13 +104435,13 @@
     name: replacement
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, bool, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, bool, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -98069,12 +104460,12 @@
     name: replacement
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -98122,13 +104513,13 @@
     name: replacement
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, bool, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, bool, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -98147,12 +104538,12 @@
     name: replacement
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - Tensor
@@ -99775,7 +106166,7 @@
     is_nullable: true
     kwarg_only: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -99783,7 +106174,7 @@
     kwarg_only: true
     name: density
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, bool, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, bool, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -99801,7 +106192,7 @@
     is_nullable: true
     kwarg_only: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -99869,7 +106260,7 @@
     is_nullable: true
     kwarg_only: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -99877,7 +106268,7 @@
     kwarg_only: true
     name: density
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, bool)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -99895,7 +106286,7 @@
     is_nullable: true
     kwarg_only: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -99960,19 +106351,19 @@
     name: bins
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     kwarg_only: true
     name: range
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -99980,7 +106371,7 @@
     kwarg_only: true
     name: density
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, int64_t, c10::optional<at::ArrayRef<double>>, const c10::optional<at::Tensor> &, bool, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, int64_t, ::std::optional<at::ArrayRef<double>>, const ::std::optional<at::Tensor> &, bool, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -99994,19 +106385,19 @@
     name: bins
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     kwarg_only: true
     name: range
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -100070,19 +106461,19 @@
     name: bins
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     kwarg_only: true
     name: range
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -100090,7 +106481,7 @@
     kwarg_only: true
     name: density
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, int64_t, c10::optional<at::ArrayRef<double>>, const c10::optional<at::Tensor> &, bool)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, int64_t, ::std::optional<at::ArrayRef<double>>, const ::std::optional<at::Tensor> &, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -100104,19 +106495,19 @@
     name: bins
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     kwarg_only: true
     name: range
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -100164,19 +106555,19 @@
     name: bins
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     kwarg_only: true
     name: range
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -100184,7 +106575,7 @@
     kwarg_only: true
     name: density
     type: bool
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (const at::Tensor &, at::IntArrayRef, c10::optional<at::ArrayRef<double>>, const c10::optional<at::Tensor> &, bool)
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (const at::Tensor &, at::IntArrayRef, ::std::optional<at::ArrayRef<double>>, const ::std::optional<at::Tensor> &, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -100197,19 +106588,19 @@
     name: bins
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     kwarg_only: true
     name: range
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -100251,19 +106642,19 @@
     name: bins
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     kwarg_only: true
     name: range
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -100271,7 +106662,7 @@
     kwarg_only: true
     name: density
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, c10::optional<at::ArrayRef<double>>, const c10::optional<at::Tensor> &, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, ::std::optional<at::ArrayRef<double>>, const ::std::optional<at::Tensor> &, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -100284,19 +106675,19 @@
     name: bins
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     kwarg_only: true
     name: range
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -100343,7 +106734,7 @@
     is_nullable: true
     kwarg_only: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -100351,7 +106742,7 @@
     kwarg_only: true
     name: density
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::TensorList, const c10::optional<at::Tensor> &, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::TensorList, const ::std::optional<at::Tensor> &, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -100369,7 +106760,7 @@
     is_nullable: true
     kwarg_only: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -100411,24 +106802,24 @@
     name: bins
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: range
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
     name: density
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,::std::vector<at::Tensor>> (const at::Tensor &, at::IntArrayRef, c10::optional<at::ArrayRef<double>>, const c10::optional<at::Tensor> &, bool)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,::std::vector<at::Tensor>> (const at::Tensor &, at::IntArrayRef, ::std::optional<at::ArrayRef<double>>, const ::std::optional<at::Tensor> &, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -100441,17 +106832,17 @@
     name: bins
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: range
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -100497,24 +106888,24 @@
     name: bins
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: range
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
     name: density
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,::std::vector<at::Tensor>> (const at::Tensor &, int64_t, c10::optional<at::ArrayRef<double>>, const c10::optional<at::Tensor> &, bool)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,::std::vector<at::Tensor>> (const at::Tensor &, int64_t, ::std::optional<at::ArrayRef<double>>, const ::std::optional<at::Tensor> &, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -100527,17 +106918,17 @@
     name: bins
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: range
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -100583,24 +106974,24 @@
     name: bins
     type: at::TensorList
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: range
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
     name: density
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,::std::vector<at::Tensor>> (const at::Tensor &, at::TensorList, c10::optional<at::ArrayRef<double>>, const c10::optional<at::Tensor> &, bool)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,::std::vector<at::Tensor>> (const at::Tensor &, at::TensorList, ::std::optional<at::ArrayRef<double>>, const ::std::optional<at::Tensor> &, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -100613,17 +107004,17 @@
     name: bins
     type: at::TensorList
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: range
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -101932,6 +108323,55 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: min_out
+  operator_name: min
+  overload_name: unary_out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::min.unary_out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: fmin
   operator_name: fmin
   overload_name: ''
@@ -102665,11 +109105,11 @@
     name: q
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -102683,7 +109123,7 @@
     kwarg_only: true
     name: interpolation
     type: c10::string_view
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, c10::optional<int64_t>, bool, c10::string_view)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, ::std::optional<int64_t>, bool, c10::string_view)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -102696,11 +109136,11 @@
     name: q
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -102756,11 +109196,11 @@
     name: q
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -102774,7 +109214,7 @@
     kwarg_only: true
     name: interpolation
     type: c10::string_view
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, c10::optional<int64_t>, bool, c10::string_view, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, ::std::optional<int64_t>, bool, c10::string_view, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -102787,11 +109227,11 @@
     name: q
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -102846,11 +109286,11 @@
     name: q
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -102864,7 +109304,7 @@
     kwarg_only: true
     name: interpolation
     type: c10::string_view
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, double, c10::optional<int64_t>, bool, c10::string_view)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, double, ::std::optional<int64_t>, bool, c10::string_view)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -102877,11 +109317,11 @@
     name: q
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -102937,11 +109377,11 @@
     name: q
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -102955,7 +109395,7 @@
     kwarg_only: true
     name: interpolation
     type: c10::string_view
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, double, c10::optional<int64_t>, bool, c10::string_view, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, double, ::std::optional<int64_t>, bool, c10::string_view, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -102968,11 +109408,11 @@
     name: q
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -103027,11 +109467,11 @@
     name: q
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -103045,7 +109485,7 @@
     kwarg_only: true
     name: interpolation
     type: c10::string_view
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, c10::optional<int64_t>, bool, c10::string_view)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, ::std::optional<int64_t>, bool, c10::string_view)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -103058,11 +109498,11 @@
     name: q
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -103118,11 +109558,11 @@
     name: q
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -103136,7 +109576,7 @@
     kwarg_only: true
     name: interpolation
     type: c10::string_view
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, c10::optional<int64_t>, bool, c10::string_view, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, ::std::optional<int64_t>, bool, c10::string_view, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -103149,11 +109589,11 @@
     name: q
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -103208,11 +109648,11 @@
     name: q
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -103226,7 +109666,7 @@
     kwarg_only: true
     name: interpolation
     type: c10::string_view
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, double, c10::optional<int64_t>, bool, c10::string_view)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, double, ::std::optional<int64_t>, bool, c10::string_view)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -103239,11 +109679,11 @@
     name: q
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -103299,11 +109739,11 @@
     name: q
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -103317,7 +109757,7 @@
     kwarg_only: true
     name: interpolation
     type: c10::string_view
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, double, c10::optional<int64_t>, bool, c10::string_view, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, double, ::std::optional<int64_t>, bool, c10::string_view, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -103330,11 +109770,11 @@
     name: q
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -103500,7 +109940,7 @@
     is_nullable: true
     kwarg_only: true
     name: stable
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -103515,7 +109955,7 @@
     kwarg_only: true
     name: descending
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, c10::optional<bool>, int64_t, bool, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, ::std::optional<bool>, int64_t, bool, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -103527,7 +109967,7 @@
     is_nullable: true
     kwarg_only: true
     name: stable
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -103661,7 +110101,7 @@
     is_nullable: true
     kwarg_only: true
     name: stable
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -103676,7 +110116,7 @@
     kwarg_only: true
     name: descending
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, c10::optional<bool>, int64_t, bool)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, ::std::optional<bool>, int64_t, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -103688,7 +110128,7 @@
     is_nullable: true
     kwarg_only: true
     name: stable
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -103852,7 +110292,7 @@
     is_nullable: true
     kwarg_only: true
     name: stable
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
     dynamic_type: at::Dimname
     is_nullable: false
@@ -103866,7 +110306,7 @@
     kwarg_only: true
     name: descending
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, c10::optional<bool>, at::Dimname, bool, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, ::std::optional<bool>, at::Dimname, bool, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -103878,7 +110318,7 @@
     is_nullable: true
     kwarg_only: true
     name: stable
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
     dynamic_type: at::Dimname
     is_nullable: false
@@ -104009,7 +110449,7 @@
     is_nullable: true
     kwarg_only: true
     name: stable
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
     dynamic_type: at::Dimname
     is_nullable: false
@@ -104023,7 +110463,7 @@
     kwarg_only: true
     name: descending
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, c10::optional<bool>, at::Dimname, bool)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, ::std::optional<bool>, at::Dimname, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -104035,7 +110475,7 @@
     is_nullable: true
     kwarg_only: true
     name: stable
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
     dynamic_type: at::Dimname
     is_nullable: false
@@ -104287,11 +110727,100 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: true
+  abstract: false
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: false
+  has_math_kernel: true
+- name: argsort_out
+  operator_name: argsort
+  overload_name: stable_out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::argsort.stable_out(Tensor self, *, bool stable, int dim=-1, bool descending=False, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: stable
+    type: bool
+  - annotation: null
+    default: -1
+    dynamic_type: int64_t
+    is_nullable: false
+    kwarg_only: true
+    name: dim
+    type: int64_t
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: descending
+    type: bool
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, bool, int64_t, bool, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: stable
+    type: bool
+  - annotation: null
+    default: -1
+    dynamic_type: int64_t
+    is_nullable: false
+    kwarg_only: true
+    name: dim
+    type: int64_t
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: descending
+    type: bool
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: false
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: true
 - name: argsort
   operator_name: argsort
   overload_name: dimname
@@ -104355,7 +110884,7 @@
   overload_name: values
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::topk.values(Tensor self, int k, int dim=-1, bool largest=True, bool sorted=True, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
+  schema_string: aten::topk.values(Tensor self, SymInt k, int dim=-1, bool largest=True, bool sorted=True, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
   arguments:
   - allocate: true
     annotation: a!
@@ -104473,7 +111002,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::topk(Tensor self, int k, int dim=-1, bool largest=True, bool sorted=True) -> (Tensor values, Tensor indices)
+  schema_string: aten::topk(Tensor self, SymInt k, int dim=-1, bool largest=True, bool sorted=True) -> (Tensor values, Tensor indices)
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -105954,13 +112483,13 @@
     name: std
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, double, double, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, double, double, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -105980,12 +112509,12 @@
     name: std
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - Tensor
@@ -106027,13 +112556,13 @@
     name: std
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, double, double, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, double, double, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -106053,12 +112582,12 @@
     name: std
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - namespace
@@ -106101,13 +112630,13 @@
     name: std
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, double, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, double, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -106121,12 +112650,12 @@
     name: std
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -106169,13 +112698,13 @@
     name: std
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, double, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, double, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -106189,12 +112718,12 @@
     name: std
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - namespace
@@ -106236,13 +112765,13 @@
     name: std
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (double, const at::Tensor &, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (double, const at::Tensor &, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: double
@@ -106255,12 +112784,12 @@
     name: std
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -106302,13 +112831,13 @@
     name: std
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor (double, const at::Tensor &, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor (double, const at::Tensor &, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: double
@@ -106321,12 +112850,12 @@
     name: std
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - namespace
@@ -106368,13 +112897,13 @@
     name: std
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -106387,12 +112916,12 @@
     name: std
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -106434,13 +112963,13 @@
     name: std
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -106453,12 +112982,12 @@
     name: std
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - namespace
@@ -106498,12 +113027,12 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - annotation: null
     default: '{}'
     dynamic_type: at::TensorOptions
@@ -106511,7 +113040,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (double, double, at::IntArrayRef, c10::optional<at::Generator>, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (double, double, at::IntArrayRef, ::std::optional<at::Generator>, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: double
@@ -106529,40 +113058,40 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -106609,13 +113138,13 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (double, double, at::IntArrayRef, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (double, double, at::IntArrayRef, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: double
@@ -106633,12 +113162,12 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -106922,12 +113451,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_sub
-  operator_name: _foreach_sub
-  overload_name: Scalar
+- name: _foreach_add
+  operator_name: _foreach_add
+  overload_name: List
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_sub.Scalar(Tensor[] self, Scalar scalar) -> Tensor[]
+  schema_string: aten::_foreach_add.List(Tensor[] self, Tensor[] other, *, Scalar alpha=1) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -106935,11 +113464,18 @@
     name: self
     type: at::TensorList
   - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: other
+    type: at::TensorList
+  - annotation: null
+    default: 1
     dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalar
+    kwarg_only: true
+    name: alpha
     type: const at::Scalar &
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, const at::Scalar &)
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList, const at::Scalar &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -106947,9 +113483,16 @@
     name: self
     type: at::TensorList
   - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: other
+    type: at::TensorList
+  - annotation: null
+    default: 1
     dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalar
+    kwarg_only: true
+    name: alpha
     type: const at::Scalar &
   method_of:
   - Type
@@ -106967,12 +113510,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_sub_
-  operator_name: _foreach_sub_
-  overload_name: Scalar
+- name: _foreach_add_
+  operator_name: _foreach_add_
+  overload_name: List
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_sub_.Scalar(Tensor(a!)[] self, Scalar scalar) -> ()
+  schema_string: aten::_foreach_add_.List(Tensor(a!)[] self, Tensor[] other, *, Scalar alpha=1) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -106980,11 +113523,18 @@
     name: self
     type: at::TensorList
   - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: other
+    type: at::TensorList
+  - annotation: null
+    default: 1
     dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalar
+    kwarg_only: true
+    name: alpha
     type: const at::Scalar &
-  schema_order_cpp_signature: void (at::TensorList, const at::Scalar &)
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, const at::Scalar &)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -106992,9 +113542,16 @@
     name: self
     type: at::TensorList
   - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: other
+    type: at::TensorList
+  - annotation: null
+    default: 1
     dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalar
+    kwarg_only: true
+    name: alpha
     type: const at::Scalar &
   method_of:
   - Type
@@ -107009,12 +113566,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_mul
-  operator_name: _foreach_mul
-  overload_name: Scalar
+- name: _foreach_add
+  operator_name: _foreach_add
+  overload_name: ScalarList
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_mul.Scalar(Tensor[] self, Scalar scalar) -> Tensor[]
+  schema_string: aten::_foreach_add.ScalarList(Tensor[] self, Scalar[] scalars) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -107022,11 +113579,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    name: scalar
-    type: const at::Scalar &
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, const at::Scalar &)
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::ArrayRef<at::Scalar>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -107034,10 +113591,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    name: scalar
-    type: const at::Scalar &
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
   method_of:
   - Type
   - namespace
@@ -107054,12 +113611,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_mul_
-  operator_name: _foreach_mul_
-  overload_name: Scalar
+- name: _foreach_add_
+  operator_name: _foreach_add_
+  overload_name: ScalarList
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_mul_.Scalar(Tensor(a!)[] self, Scalar scalar) -> ()
+  schema_string: aten::_foreach_add_.ScalarList(Tensor(a!)[] self, Scalar[] scalars) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -107067,11 +113624,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    name: scalar
-    type: const at::Scalar &
-  schema_order_cpp_signature: void (at::TensorList, const at::Scalar &)
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
+  schema_order_cpp_signature: void (at::TensorList, at::ArrayRef<at::Scalar>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -107079,10 +113636,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    name: scalar
-    type: const at::Scalar &
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
   method_of:
   - Type
   - namespace
@@ -107096,12 +113653,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_div
-  operator_name: _foreach_div
-  overload_name: Scalar
+- name: _foreach_add
+  operator_name: _foreach_add
+  overload_name: Tensor
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_div.Scalar(Tensor[] self, Scalar scalar) -> Tensor[]
+  schema_string: aten::_foreach_add.Tensor(Tensor[] self, Tensor other, *, Scalar alpha=1) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -107109,11 +113666,18 @@
     name: self
     type: at::TensorList
   - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: other
+    type: const at::Tensor &
+  - annotation: null
+    default: 1
     dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalar
+    kwarg_only: true
+    name: alpha
     type: const at::Scalar &
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, const at::Scalar &)
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, const at::Tensor &, const at::Scalar &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -107121,9 +113685,16 @@
     name: self
     type: at::TensorList
   - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: other
+    type: const at::Tensor &
+  - annotation: null
+    default: 1
     dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalar
+    kwarg_only: true
+    name: alpha
     type: const at::Scalar &
   method_of:
   - Type
@@ -107141,12 +113712,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_div_
-  operator_name: _foreach_div_
-  overload_name: Scalar
+- name: _foreach_add_
+  operator_name: _foreach_add_
+  overload_name: Tensor
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_div_.Scalar(Tensor(a!)[] self, Scalar scalar) -> ()
+  schema_string: aten::_foreach_add_.Tensor(Tensor(a!)[] self, Tensor other, *, Scalar alpha=1) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -107154,11 +113725,18 @@
     name: self
     type: at::TensorList
   - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: other
+    type: const at::Tensor &
+  - annotation: null
+    default: 1
     dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalar
+    kwarg_only: true
+    name: alpha
     type: const at::Scalar &
-  schema_order_cpp_signature: void (at::TensorList, const at::Scalar &)
+  schema_order_cpp_signature: void (at::TensorList, const at::Tensor &, const at::Scalar &)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -107166,9 +113744,16 @@
     name: self
     type: at::TensorList
   - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: other
+    type: const at::Tensor &
+  - annotation: null
+    default: 1
     dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalar
+    kwarg_only: true
+    name: alpha
     type: const at::Scalar &
   method_of:
   - Type
@@ -107183,12 +113768,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_clamp_min
-  operator_name: _foreach_clamp_min
+- name: _foreach_sub
+  operator_name: _foreach_sub
   overload_name: Scalar
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_clamp_min.Scalar(Tensor[] self, Scalar scalar) -> Tensor[]
+  schema_string: aten::_foreach_sub.Scalar(Tensor[] self, Scalar scalar) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -107228,12 +113813,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_clamp_min_
-  operator_name: _foreach_clamp_min_
+- name: _foreach_sub_
+  operator_name: _foreach_sub_
   overload_name: Scalar
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_clamp_min_.Scalar(Tensor(a!)[] self, Scalar scalar) -> ()
+  schema_string: aten::_foreach_sub_.Scalar(Tensor(a!)[] self, Scalar scalar) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -107270,12 +113855,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_clamp_max
-  operator_name: _foreach_clamp_max
-  overload_name: Scalar
+- name: _foreach_sub
+  operator_name: _foreach_sub
+  overload_name: List
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_clamp_max.Scalar(Tensor[] self, Scalar scalar) -> Tensor[]
+  schema_string: aten::_foreach_sub.List(Tensor[] self, Tensor[] other, *, Scalar alpha=1) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -107283,11 +113868,18 @@
     name: self
     type: at::TensorList
   - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: other
+    type: at::TensorList
+  - annotation: null
+    default: 1
     dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalar
+    kwarg_only: true
+    name: alpha
     type: const at::Scalar &
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, const at::Scalar &)
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList, const at::Scalar &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -107295,9 +113887,16 @@
     name: self
     type: at::TensorList
   - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: other
+    type: at::TensorList
+  - annotation: null
+    default: 1
     dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalar
+    kwarg_only: true
+    name: alpha
     type: const at::Scalar &
   method_of:
   - Type
@@ -107315,12 +113914,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_clamp_max_
-  operator_name: _foreach_clamp_max_
-  overload_name: Scalar
+- name: _foreach_sub_
+  operator_name: _foreach_sub_
+  overload_name: List
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_clamp_max_.Scalar(Tensor(a!)[] self, Scalar scalar) -> ()
+  schema_string: aten::_foreach_sub_.List(Tensor(a!)[] self, Tensor[] other, *, Scalar alpha=1) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -107328,11 +113927,18 @@
     name: self
     type: at::TensorList
   - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: other
+    type: at::TensorList
+  - annotation: null
+    default: 1
     dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalar
+    kwarg_only: true
+    name: alpha
     type: const at::Scalar &
-  schema_order_cpp_signature: void (at::TensorList, const at::Scalar &)
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, const at::Scalar &)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -107340,9 +113946,16 @@
     name: self
     type: at::TensorList
   - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: other
+    type: at::TensorList
+  - annotation: null
+    default: 1
     dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalar
+    kwarg_only: true
+    name: alpha
     type: const at::Scalar &
   method_of:
   - Type
@@ -107357,12 +113970,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_maximum
-  operator_name: _foreach_maximum
-  overload_name: Scalar
+- name: _foreach_sub
+  operator_name: _foreach_sub
+  overload_name: ScalarList
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_maximum.Scalar(Tensor[] self, Scalar scalar) -> Tensor[]
+  schema_string: aten::_foreach_sub.ScalarList(Tensor[] self, Scalar[] scalars) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -107370,11 +113983,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    name: scalar
-    type: const at::Scalar &
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, const at::Scalar &)
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::ArrayRef<at::Scalar>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -107382,10 +113995,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    name: scalar
-    type: const at::Scalar &
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
   method_of:
   - Type
   - namespace
@@ -107402,12 +114015,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_maximum_
-  operator_name: _foreach_maximum_
-  overload_name: Scalar
+- name: _foreach_sub_
+  operator_name: _foreach_sub_
+  overload_name: ScalarList
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_maximum_.Scalar(Tensor(a!)[] self, Scalar scalar) -> ()
+  schema_string: aten::_foreach_sub_.ScalarList(Tensor(a!)[] self, Scalar[] scalars) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -107415,11 +114028,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    name: scalar
-    type: const at::Scalar &
-  schema_order_cpp_signature: void (at::TensorList, const at::Scalar &)
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
+  schema_order_cpp_signature: void (at::TensorList, at::ArrayRef<at::Scalar>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -107427,10 +114040,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    name: scalar
-    type: const at::Scalar &
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
   method_of:
   - Type
   - namespace
@@ -107444,12 +114057,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_minimum
-  operator_name: _foreach_minimum
+- name: _foreach_mul
+  operator_name: _foreach_mul
   overload_name: Scalar
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_minimum.Scalar(Tensor[] self, Scalar scalar) -> Tensor[]
+  schema_string: aten::_foreach_mul.Scalar(Tensor[] self, Scalar scalar) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -107489,12 +114102,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_minimum_
-  operator_name: _foreach_minimum_
+- name: _foreach_mul_
+  operator_name: _foreach_mul_
   overload_name: Scalar
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_minimum_.Scalar(Tensor(a!)[] self, Scalar scalar) -> ()
+  schema_string: aten::_foreach_mul_.Scalar(Tensor(a!)[] self, Scalar scalar) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -107531,12 +114144,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_add
-  operator_name: _foreach_add
+- name: _foreach_mul
+  operator_name: _foreach_mul
   overload_name: List
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_add.List(Tensor[] self, Tensor[] other, *, Scalar alpha=1) -> Tensor[]
+  schema_string: aten::_foreach_mul.List(Tensor[] self, Tensor[] other) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -107548,14 +114161,7 @@
     is_nullable: false
     name: other
     type: at::TensorList
-  - annotation: null
-    default: 1
-    dynamic_type: const at::Scalar &
-    is_nullable: false
-    kwarg_only: true
-    name: alpha
-    type: const at::Scalar &
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList, const at::Scalar &)
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -107567,13 +114173,6 @@
     is_nullable: false
     name: other
     type: at::TensorList
-  - annotation: null
-    default: 1
-    dynamic_type: const at::Scalar &
-    is_nullable: false
-    kwarg_only: true
-    name: alpha
-    type: const at::Scalar &
   method_of:
   - Type
   - namespace
@@ -107590,12 +114189,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_add_
-  operator_name: _foreach_add_
+- name: _foreach_mul_
+  operator_name: _foreach_mul_
   overload_name: List
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_add_.List(Tensor(a!)[] self, Tensor[] other, *, Scalar alpha=1) -> ()
+  schema_string: aten::_foreach_mul_.List(Tensor(a!)[] self, Tensor[] other) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -107607,14 +114206,7 @@
     is_nullable: false
     name: other
     type: at::TensorList
-  - annotation: null
-    default: 1
-    dynamic_type: const at::Scalar &
-    is_nullable: false
-    kwarg_only: true
-    name: alpha
-    type: const at::Scalar &
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, const at::Scalar &)
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -107626,13 +114218,6 @@
     is_nullable: false
     name: other
     type: at::TensorList
-  - annotation: null
-    default: 1
-    dynamic_type: const at::Scalar &
-    is_nullable: false
-    kwarg_only: true
-    name: alpha
-    type: const at::Scalar &
   method_of:
   - Type
   - namespace
@@ -107646,12 +114231,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_sub
-  operator_name: _foreach_sub
-  overload_name: List
+- name: _foreach_mul
+  operator_name: _foreach_mul
+  overload_name: ScalarList
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_sub.List(Tensor[] self, Tensor[] other, *, Scalar alpha=1) -> Tensor[]
+  schema_string: aten::_foreach_mul.ScalarList(Tensor[] self, Scalar[] scalars) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -107659,18 +114244,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: other
-    type: at::TensorList
-  - annotation: null
-    default: 1
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    kwarg_only: true
-    name: alpha
-    type: const at::Scalar &
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList, const at::Scalar &)
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::ArrayRef<at::Scalar>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -107678,17 +114256,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: other
-    type: at::TensorList
-  - annotation: null
-    default: 1
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    kwarg_only: true
-    name: alpha
-    type: const at::Scalar &
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
   method_of:
   - Type
   - namespace
@@ -107705,12 +114276,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_sub_
-  operator_name: _foreach_sub_
-  overload_name: List
+- name: _foreach_mul_
+  operator_name: _foreach_mul_
+  overload_name: ScalarList
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_sub_.List(Tensor(a!)[] self, Tensor[] other, *, Scalar alpha=1) -> ()
+  schema_string: aten::_foreach_mul_.ScalarList(Tensor(a!)[] self, Scalar[] scalars) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -107718,18 +114289,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: other
-    type: at::TensorList
-  - annotation: null
-    default: 1
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    kwarg_only: true
-    name: alpha
-    type: const at::Scalar &
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, const at::Scalar &)
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
+  schema_order_cpp_signature: void (at::TensorList, at::ArrayRef<at::Scalar>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -107737,17 +114301,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: other
-    type: at::TensorList
-  - annotation: null
-    default: 1
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    kwarg_only: true
-    name: alpha
-    type: const at::Scalar &
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
   method_of:
   - Type
   - namespace
@@ -107763,10 +114320,10 @@
   has_math_kernel: false
 - name: _foreach_mul
   operator_name: _foreach_mul
-  overload_name: List
+  overload_name: Tensor
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_mul.List(Tensor[] self, Tensor[] other) -> Tensor[]
+  schema_string: aten::_foreach_mul.Tensor(Tensor[] self, Tensor other) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -107774,11 +114331,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: at::Tensor
     is_nullable: false
     name: other
-    type: at::TensorList
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList)
+    type: const at::Tensor &
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, const at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -107786,10 +114343,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: at::Tensor
     is_nullable: false
     name: other
-    type: at::TensorList
+    type: const at::Tensor &
   method_of:
   - Type
   - namespace
@@ -107808,10 +114365,10 @@
   has_math_kernel: false
 - name: _foreach_mul_
   operator_name: _foreach_mul_
-  overload_name: List
+  overload_name: Tensor
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_mul_.List(Tensor(a!)[] self, Tensor[] other) -> ()
+  schema_string: aten::_foreach_mul_.Tensor(Tensor(a!)[] self, Tensor other) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -107819,11 +114376,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: at::Tensor
     is_nullable: false
     name: other
-    type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+    type: const at::Tensor &
+  schema_order_cpp_signature: void (at::TensorList, const at::Tensor &)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -107831,10 +114388,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: at::Tensor
     is_nullable: false
     name: other
-    type: at::TensorList
+    type: const at::Tensor &
   method_of:
   - Type
   - namespace
@@ -107850,10 +114407,10 @@
   has_math_kernel: false
 - name: _foreach_div
   operator_name: _foreach_div
-  overload_name: List
+  overload_name: Scalar
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_div.List(Tensor[] self, Tensor[] other) -> Tensor[]
+  schema_string: aten::_foreach_div.Scalar(Tensor[] self, Scalar scalar) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -107861,11 +114418,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: other
-    type: at::TensorList
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList)
+    name: scalar
+    type: const at::Scalar &
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, const at::Scalar &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -107873,10 +114430,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: other
-    type: at::TensorList
+    name: scalar
+    type: const at::Scalar &
   method_of:
   - Type
   - namespace
@@ -107895,10 +114452,10 @@
   has_math_kernel: false
 - name: _foreach_div_
   operator_name: _foreach_div_
-  overload_name: List
+  overload_name: Scalar
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_div_.List(Tensor(a!)[] self, Tensor[] other) -> ()
+  schema_string: aten::_foreach_div_.Scalar(Tensor(a!)[] self, Scalar scalar) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -107906,11 +114463,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: other
-    type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+    name: scalar
+    type: const at::Scalar &
+  schema_order_cpp_signature: void (at::TensorList, const at::Scalar &)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -107918,10 +114475,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: other
-    type: at::TensorList
+    name: scalar
+    type: const at::Scalar &
   method_of:
   - Type
   - namespace
@@ -107935,12 +114492,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_clamp_min
-  operator_name: _foreach_clamp_min
+- name: _foreach_div
+  operator_name: _foreach_div
   overload_name: List
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_clamp_min.List(Tensor[] self, Tensor[] other) -> Tensor[]
+  schema_string: aten::_foreach_div.List(Tensor[] self, Tensor[] other) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -107980,12 +114537,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_clamp_min_
-  operator_name: _foreach_clamp_min_
+- name: _foreach_div_
+  operator_name: _foreach_div_
   overload_name: List
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_clamp_min_.List(Tensor(a!)[] self, Tensor[] other) -> ()
+  schema_string: aten::_foreach_div_.List(Tensor(a!)[] self, Tensor[] other) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -108022,12 +114579,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_clamp_max
-  operator_name: _foreach_clamp_max
-  overload_name: List
+- name: _foreach_div
+  operator_name: _foreach_div
+  overload_name: ScalarList
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_clamp_max.List(Tensor[] self, Tensor[] other) -> Tensor[]
+  schema_string: aten::_foreach_div.ScalarList(Tensor[] self, Scalar[] scalars) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -108035,11 +114592,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    name: other
-    type: at::TensorList
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList)
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::ArrayRef<at::Scalar>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -108047,10 +114604,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    name: other
-    type: at::TensorList
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
   method_of:
   - Type
   - namespace
@@ -108067,12 +114624,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_clamp_max_
-  operator_name: _foreach_clamp_max_
-  overload_name: List
+- name: _foreach_div_
+  operator_name: _foreach_div_
+  overload_name: ScalarList
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_clamp_max_.List(Tensor(a!)[] self, Tensor[] other) -> ()
+  schema_string: aten::_foreach_div_.ScalarList(Tensor(a!)[] self, Scalar[] scalars) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -108080,11 +114637,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    name: other
-    type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
+  schema_order_cpp_signature: void (at::TensorList, at::ArrayRef<at::Scalar>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -108092,10 +114649,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    name: other
-    type: at::TensorList
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
   method_of:
   - Type
   - namespace
@@ -108109,12 +114666,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_maximum
-  operator_name: _foreach_maximum
-  overload_name: List
+- name: _foreach_div
+  operator_name: _foreach_div
+  overload_name: Tensor
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_maximum.List(Tensor[] self, Tensor[] other) -> Tensor[]
+  schema_string: aten::_foreach_div.Tensor(Tensor[] self, Tensor other) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -108122,11 +114679,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: at::Tensor
     is_nullable: false
     name: other
-    type: at::TensorList
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList)
+    type: const at::Tensor &
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, const at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -108134,10 +114691,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: at::Tensor
     is_nullable: false
     name: other
-    type: at::TensorList
+    type: const at::Tensor &
   method_of:
   - Type
   - namespace
@@ -108154,12 +114711,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_maximum_
-  operator_name: _foreach_maximum_
-  overload_name: List
+- name: _foreach_div_
+  operator_name: _foreach_div_
+  overload_name: Tensor
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_maximum_.List(Tensor(a!)[] self, Tensor[] other) -> ()
+  schema_string: aten::_foreach_div_.Tensor(Tensor(a!)[] self, Tensor other) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -108167,11 +114724,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: at::Tensor
     is_nullable: false
     name: other
-    type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+    type: const at::Tensor &
+  schema_order_cpp_signature: void (at::TensorList, const at::Tensor &)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -108179,10 +114736,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: at::Tensor
     is_nullable: false
     name: other
-    type: at::TensorList
+    type: const at::Tensor &
   method_of:
   - Type
   - namespace
@@ -108196,12 +114753,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_minimum
-  operator_name: _foreach_minimum
-  overload_name: List
+- name: _foreach_clamp_max
+  operator_name: _foreach_clamp_max
+  overload_name: Scalar
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_minimum.List(Tensor[] self, Tensor[] other) -> Tensor[]
+  schema_string: aten::_foreach_clamp_max.Scalar(Tensor[] self, Scalar scalar) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -108209,11 +114766,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: other
-    type: at::TensorList
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList)
+    name: scalar
+    type: const at::Scalar &
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, const at::Scalar &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -108221,10 +114778,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: other
-    type: at::TensorList
+    name: scalar
+    type: const at::Scalar &
   method_of:
   - Type
   - namespace
@@ -108241,12 +114798,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_minimum_
-  operator_name: _foreach_minimum_
-  overload_name: List
+- name: _foreach_clamp_max_
+  operator_name: _foreach_clamp_max_
+  overload_name: Scalar
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_minimum_.List(Tensor(a!)[] self, Tensor[] other) -> ()
+  schema_string: aten::_foreach_clamp_max_.Scalar(Tensor(a!)[] self, Scalar scalar) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -108254,11 +114811,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: other
-    type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+    name: scalar
+    type: const at::Scalar &
+  schema_order_cpp_signature: void (at::TensorList, const at::Scalar &)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -108266,10 +114823,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: other
-    type: at::TensorList
+    name: scalar
+    type: const at::Scalar &
   method_of:
   - Type
   - namespace
@@ -108283,12 +114840,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_add
-  operator_name: _foreach_add
-  overload_name: ScalarList
+- name: _foreach_clamp_max
+  operator_name: _foreach_clamp_max
+  overload_name: List
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_add.ScalarList(Tensor[] self, Scalar[] scalars) -> Tensor[]
+  schema_string: aten::_foreach_clamp_max.List(Tensor[] self, Tensor[] other) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -108296,11 +114853,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::ArrayRef<at::Scalar>)
+    name: other
+    type: at::TensorList
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -108308,10 +114865,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
+    name: other
+    type: at::TensorList
   method_of:
   - Type
   - namespace
@@ -108328,12 +114885,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_add_
-  operator_name: _foreach_add_
-  overload_name: ScalarList
+- name: _foreach_clamp_max_
+  operator_name: _foreach_clamp_max_
+  overload_name: List
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_add_.ScalarList(Tensor(a!)[] self, Scalar[] scalars) -> ()
+  schema_string: aten::_foreach_clamp_max_.List(Tensor(a!)[] self, Tensor[] other) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -108341,11 +114898,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
-  schema_order_cpp_signature: void (at::TensorList, at::ArrayRef<at::Scalar>)
+    name: other
+    type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -108353,10 +114910,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
+    name: other
+    type: at::TensorList
   method_of:
   - Type
   - namespace
@@ -108370,12 +114927,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_sub
-  operator_name: _foreach_sub
+- name: _foreach_clamp_max
+  operator_name: _foreach_clamp_max
   overload_name: ScalarList
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_sub.ScalarList(Tensor[] self, Scalar[] scalars) -> Tensor[]
+  schema_string: aten::_foreach_clamp_max.ScalarList(Tensor[] self, Scalar[] scalars) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -108415,12 +114972,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_sub_
-  operator_name: _foreach_sub_
+- name: _foreach_clamp_max_
+  operator_name: _foreach_clamp_max_
   overload_name: ScalarList
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_sub_.ScalarList(Tensor(a!)[] self, Scalar[] scalars) -> ()
+  schema_string: aten::_foreach_clamp_max_.ScalarList(Tensor(a!)[] self, Scalar[] scalars) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -108457,12 +115014,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_div
-  operator_name: _foreach_div
-  overload_name: ScalarList
+- name: _foreach_clamp_min
+  operator_name: _foreach_clamp_min
+  overload_name: Scalar
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_div.ScalarList(Tensor[] self, Scalar[] scalars) -> Tensor[]
+  schema_string: aten::_foreach_clamp_min.Scalar(Tensor[] self, Scalar scalar) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -108470,11 +115027,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::ArrayRef<at::Scalar>)
+    name: scalar
+    type: const at::Scalar &
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, const at::Scalar &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -108482,10 +115039,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
+    name: scalar
+    type: const at::Scalar &
   method_of:
   - Type
   - namespace
@@ -108502,12 +115059,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_div_
-  operator_name: _foreach_div_
-  overload_name: ScalarList
+- name: _foreach_clamp_min_
+  operator_name: _foreach_clamp_min_
+  overload_name: Scalar
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_div_.ScalarList(Tensor(a!)[] self, Scalar[] scalars) -> ()
+  schema_string: aten::_foreach_clamp_min_.Scalar(Tensor(a!)[] self, Scalar scalar) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -108515,11 +115072,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
-  schema_order_cpp_signature: void (at::TensorList, at::ArrayRef<at::Scalar>)
+    name: scalar
+    type: const at::Scalar &
+  schema_order_cpp_signature: void (at::TensorList, const at::Scalar &)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -108527,10 +115084,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
+    name: scalar
+    type: const at::Scalar &
   method_of:
   - Type
   - namespace
@@ -108544,12 +115101,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_mul
-  operator_name: _foreach_mul
-  overload_name: ScalarList
+- name: _foreach_clamp_min
+  operator_name: _foreach_clamp_min
+  overload_name: List
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_mul.ScalarList(Tensor[] self, Scalar[] scalars) -> Tensor[]
+  schema_string: aten::_foreach_clamp_min.List(Tensor[] self, Tensor[] other) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -108557,11 +115114,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::ArrayRef<at::Scalar>)
+    name: other
+    type: at::TensorList
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -108569,10 +115126,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
+    name: other
+    type: at::TensorList
   method_of:
   - Type
   - namespace
@@ -108589,12 +115146,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_mul_
-  operator_name: _foreach_mul_
-  overload_name: ScalarList
+- name: _foreach_clamp_min_
+  operator_name: _foreach_clamp_min_
+  overload_name: List
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_mul_.ScalarList(Tensor(a!)[] self, Scalar[] scalars) -> ()
+  schema_string: aten::_foreach_clamp_min_.List(Tensor(a!)[] self, Tensor[] other) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -108602,11 +115159,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
-  schema_order_cpp_signature: void (at::TensorList, at::ArrayRef<at::Scalar>)
+    name: other
+    type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -108614,10 +115171,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
+    name: other
+    type: at::TensorList
   method_of:
   - Type
   - namespace
@@ -108718,12 +115275,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_clamp_max
-  operator_name: _foreach_clamp_max
-  overload_name: ScalarList
+- name: _foreach_maximum
+  operator_name: _foreach_maximum
+  overload_name: Scalar
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_clamp_max.ScalarList(Tensor[] self, Scalar[] scalars) -> Tensor[]
+  schema_string: aten::_foreach_maximum.Scalar(Tensor[] self, Scalar scalar) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -108731,11 +115288,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::ArrayRef<at::Scalar>)
+    name: scalar
+    type: const at::Scalar &
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, const at::Scalar &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -108743,10 +115300,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
+    name: scalar
+    type: const at::Scalar &
   method_of:
   - Type
   - namespace
@@ -108763,12 +115320,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_clamp_max_
-  operator_name: _foreach_clamp_max_
-  overload_name: ScalarList
+- name: _foreach_maximum_
+  operator_name: _foreach_maximum_
+  overload_name: Scalar
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_clamp_max_.ScalarList(Tensor(a!)[] self, Scalar[] scalars) -> ()
+  schema_string: aten::_foreach_maximum_.Scalar(Tensor(a!)[] self, Scalar scalar) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -108776,11 +115333,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
-  schema_order_cpp_signature: void (at::TensorList, at::ArrayRef<at::Scalar>)
+    name: scalar
+    type: const at::Scalar &
+  schema_order_cpp_signature: void (at::TensorList, const at::Scalar &)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -108788,10 +115345,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
+    name: scalar
+    type: const at::Scalar &
   method_of:
   - Type
   - namespace
@@ -108807,10 +115364,10 @@
   has_math_kernel: false
 - name: _foreach_maximum
   operator_name: _foreach_maximum
-  overload_name: ScalarList
+  overload_name: List
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_maximum.ScalarList(Tensor[] self, Scalar[] scalars) -> Tensor[]
+  schema_string: aten::_foreach_maximum.List(Tensor[] self, Tensor[] other) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -108818,11 +115375,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::ArrayRef<at::Scalar>)
+    name: other
+    type: at::TensorList
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -108830,10 +115387,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
+    name: other
+    type: at::TensorList
   method_of:
   - Type
   - namespace
@@ -108852,10 +115409,10 @@
   has_math_kernel: false
 - name: _foreach_maximum_
   operator_name: _foreach_maximum_
-  overload_name: ScalarList
+  overload_name: List
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_maximum_.ScalarList(Tensor(a!)[] self, Scalar[] scalars) -> ()
+  schema_string: aten::_foreach_maximum_.List(Tensor(a!)[] self, Tensor[] other) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -108863,11 +115420,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
-  schema_order_cpp_signature: void (at::TensorList, at::ArrayRef<at::Scalar>)
+    name: other
+    type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -108875,10 +115432,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
+    name: other
+    type: at::TensorList
   method_of:
   - Type
   - namespace
@@ -108892,12 +115449,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_minimum
-  operator_name: _foreach_minimum
+- name: _foreach_maximum
+  operator_name: _foreach_maximum
   overload_name: ScalarList
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_minimum.ScalarList(Tensor[] self, Scalar[] scalars) -> Tensor[]
+  schema_string: aten::_foreach_maximum.ScalarList(Tensor[] self, Scalar[] scalars) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -108937,12 +115494,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_minimum_
-  operator_name: _foreach_minimum_
+- name: _foreach_maximum_
+  operator_name: _foreach_maximum_
   overload_name: ScalarList
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_minimum_.ScalarList(Tensor(a!)[] self, Scalar[] scalars) -> ()
+  schema_string: aten::_foreach_maximum_.ScalarList(Tensor(a!)[] self, Scalar[] scalars) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -108979,25 +115536,35 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_exp
-  operator_name: _foreach_exp
-  overload_name: ''
+- name: _foreach_minimum
+  operator_name: _foreach_minimum
+  overload_name: Scalar
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_exp(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_minimum.Scalar(Tensor[] self, Scalar scalar) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: scalar
+    type: const at::Scalar &
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, const at::Scalar &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: scalar
+    type: const at::Scalar &
   method_of:
   - Type
   - namespace
@@ -109014,25 +115581,35 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_zero_
-  operator_name: _foreach_zero_
-  overload_name: ''
+- name: _foreach_minimum_
+  operator_name: _foreach_minimum_
+  overload_name: Scalar
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_zero_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_minimum_.Scalar(Tensor(a!)[] self, Scalar scalar) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList)
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: scalar
+    type: const at::Scalar &
+  schema_order_cpp_signature: void (at::TensorList, const at::Scalar &)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: scalar
+    type: const at::Scalar &
   method_of:
   - Type
   - namespace
@@ -109046,56 +115623,34 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_exp_
-  operator_name: _foreach_exp_
-  overload_name: ''
+- name: _foreach_minimum
+  operator_name: _foreach_minimum
+  overload_name: List
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_exp_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_minimum.List(Tensor[] self, Tensor[] other) -> Tensor[]
   arguments:
-  - annotation: a!
+  - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList)
-  schema_order_arguments:
-  - annotation: a!
+  - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: self
+    name: other
     type: at::TensorList
-  method_of:
-  - Type
-  - namespace
-  mode: native
-  python_module: ''
-  returns: []
-  inplace: true
-  is_factory_method: false
-  abstract: true
-  device_guard: true
-  with_gil: false
-  deprecated: false
-  has_math_kernel: false
-- name: _foreach_sqrt
-  operator_name: _foreach_sqrt
-  overload_name: ''
-  manual_kernel_registration: false
-  category_override: ''
-  schema_string: aten::_foreach_sqrt(Tensor[] self) -> Tensor[]
-  arguments:
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList)
+  schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
-  schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: self
+    name: other
     type: at::TensorList
   method_of:
   - Type
@@ -109113,25 +115668,35 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_sqrt_
-  operator_name: _foreach_sqrt_
-  overload_name: ''
+- name: _foreach_minimum_
+  operator_name: _foreach_minimum_
+  overload_name: List
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_sqrt_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_minimum_.List(Tensor(a!)[] self, Tensor[] other) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList)
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: other
+    type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: other
+    type: at::TensorList
   method_of:
   - Type
   - namespace
@@ -109145,25 +115710,35 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_abs
-  operator_name: _foreach_abs
-  overload_name: ''
+- name: _foreach_minimum
+  operator_name: _foreach_minimum
+  overload_name: ScalarList
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_abs(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_minimum.ScalarList(Tensor[] self, Scalar[] scalars) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
+  - annotation: null
+    dynamic_type: at::ArrayRef<at::Scalar>
+    is_nullable: false
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::ArrayRef<at::Scalar>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::ArrayRef<at::Scalar>
+    is_nullable: false
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
   method_of:
   - Type
   - namespace
@@ -109180,25 +115755,35 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_abs_
-  operator_name: _foreach_abs_
-  overload_name: ''
+- name: _foreach_minimum_
+  operator_name: _foreach_minimum_
+  overload_name: ScalarList
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_abs_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_minimum_.ScalarList(Tensor(a!)[] self, Scalar[] scalars) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList)
+  - annotation: null
+    dynamic_type: at::ArrayRef<at::Scalar>
+    is_nullable: false
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
+  schema_order_cpp_signature: void (at::TensorList, at::ArrayRef<at::Scalar>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::ArrayRef<at::Scalar>
+    is_nullable: false
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
   method_of:
   - Type
   - namespace
@@ -109212,25 +115797,57 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_acos
-  operator_name: _foreach_acos
-  overload_name: ''
+- name: _foreach_addcdiv
+  operator_name: _foreach_addcdiv
+  overload_name: Scalar
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_acos(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_addcdiv.Scalar(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar value=1) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    default: 1
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: value
+    type: const at::Scalar &
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList, at::TensorList, const at::Scalar &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    default: 1
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: value
+    type: const at::Scalar &
   method_of:
   - Type
   - namespace
@@ -109247,57 +115864,120 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_acos_
-  operator_name: _foreach_acos_
-  overload_name: ''
+- name: _foreach_addcdiv
+  operator_name: _foreach_addcdiv
+  overload_name: ScalarList
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_acos_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_addcdiv.ScalarList(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar[] scalars) -> Tensor[]
   arguments:
-  - annotation: a!
+  - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList)
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::ArrayRef<at::Scalar>
+    is_nullable: false
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList, at::TensorList, at::ArrayRef<at::Scalar>)
   schema_order_arguments:
-  - annotation: a!
+  - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::ArrayRef<at::Scalar>
+    is_nullable: false
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
   method_of:
   - Type
   - namespace
   mode: native
   python_module: ''
-  returns: []
-  inplace: true
+  returns:
+  - dynamic_type: at::TensorList
+    name: result
+    type: ::std::vector<at::Tensor>
+  inplace: false
   is_factory_method: false
   abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_asin
-  operator_name: _foreach_asin
-  overload_name: ''
+- name: _foreach_addcdiv
+  operator_name: _foreach_addcdiv
+  overload_name: Tensor
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_asin(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_addcdiv.Tensor(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Tensor scalars) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: scalars
+    type: const at::Tensor &
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList, at::TensorList, const at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: scalars
+    type: const at::Tensor &
   method_of:
   - Type
   - namespace
@@ -109314,25 +115994,57 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_asin_
-  operator_name: _foreach_asin_
-  overload_name: ''
+- name: _foreach_addcdiv_
+  operator_name: _foreach_addcdiv_
+  overload_name: Scalar
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_asin_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_addcdiv_.Scalar(Tensor(a!)[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar value=1) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList)
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    default: 1
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: value
+    type: const at::Scalar &
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, const at::Scalar &)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    default: 1
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: value
+    type: const at::Scalar &
   method_of:
   - Type
   - namespace
@@ -109346,60 +116058,117 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_atan
-  operator_name: _foreach_atan
-  overload_name: ''
+- name: _foreach_addcdiv_
+  operator_name: _foreach_addcdiv_
+  overload_name: ScalarList
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_atan(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_addcdiv_.ScalarList(Tensor(a!)[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar[] scalars) -> ()
   arguments:
-  - annotation: null
+  - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
-  schema_order_arguments:
   - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::ArrayRef<at::Scalar>
+    is_nullable: false
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, at::ArrayRef<at::Scalar>)
+  schema_order_arguments:
+  - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::ArrayRef<at::Scalar>
+    is_nullable: false
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
   method_of:
   - Type
   - namespace
   mode: native
   python_module: ''
-  returns:
-  - dynamic_type: at::TensorList
-    name: result
-    type: ::std::vector<at::Tensor>
-  inplace: false
+  returns: []
+  inplace: true
   is_factory_method: false
   abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_atan_
-  operator_name: _foreach_atan_
-  overload_name: ''
+- name: _foreach_addcdiv_
+  operator_name: _foreach_addcdiv_
+  overload_name: Tensor
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_atan_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_addcdiv_.Tensor(Tensor(a!)[] self, Tensor[] tensor1, Tensor[] tensor2, Tensor scalars) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList)
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: scalars
+    type: const at::Tensor &
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, const at::Tensor &)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: scalars
+    type: const at::Tensor &
   method_of:
   - Type
   - namespace
@@ -109413,25 +116182,57 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_ceil
-  operator_name: _foreach_ceil
-  overload_name: ''
+- name: _foreach_addcmul
+  operator_name: _foreach_addcmul
+  overload_name: Scalar
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_ceil(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_addcmul.Scalar(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar value=1) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    default: 1
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: value
+    type: const at::Scalar &
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList, at::TensorList, const at::Scalar &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    default: 1
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: value
+    type: const at::Scalar &
   method_of:
   - Type
   - namespace
@@ -109448,57 +116249,120 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_ceil_
-  operator_name: _foreach_ceil_
-  overload_name: ''
+- name: _foreach_addcmul
+  operator_name: _foreach_addcmul
+  overload_name: ScalarList
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_ceil_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_addcmul.ScalarList(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar[] scalars) -> Tensor[]
   arguments:
-  - annotation: a!
+  - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList)
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::ArrayRef<at::Scalar>
+    is_nullable: false
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList, at::TensorList, at::ArrayRef<at::Scalar>)
   schema_order_arguments:
-  - annotation: a!
+  - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::ArrayRef<at::Scalar>
+    is_nullable: false
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
   method_of:
   - Type
   - namespace
   mode: native
   python_module: ''
-  returns: []
-  inplace: true
+  returns:
+  - dynamic_type: at::TensorList
+    name: result
+    type: ::std::vector<at::Tensor>
+  inplace: false
   is_factory_method: false
   abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_cos
-  operator_name: _foreach_cos
-  overload_name: ''
+- name: _foreach_addcmul
+  operator_name: _foreach_addcmul
+  overload_name: Tensor
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_cos(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_addcmul.Tensor(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Tensor scalars) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: scalars
+    type: const at::Tensor &
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList, at::TensorList, const at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: scalars
+    type: const at::Tensor &
   method_of:
   - Type
   - namespace
@@ -109515,25 +116379,57 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_cos_
-  operator_name: _foreach_cos_
-  overload_name: ''
+- name: _foreach_addcmul_
+  operator_name: _foreach_addcmul_
+  overload_name: Scalar
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_cos_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_addcmul_.Scalar(Tensor(a!)[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar value=1) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList)
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    default: 1
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: value
+    type: const at::Scalar &
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, const at::Scalar &)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    default: 1
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: value
+    type: const at::Scalar &
   method_of:
   - Type
   - namespace
@@ -109547,60 +116443,117 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_cosh
-  operator_name: _foreach_cosh
-  overload_name: ''
+- name: _foreach_addcmul_
+  operator_name: _foreach_addcmul_
+  overload_name: ScalarList
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_cosh(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_addcmul_.ScalarList(Tensor(a!)[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar[] scalars) -> ()
   arguments:
-  - annotation: null
+  - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
-  schema_order_arguments:
   - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::ArrayRef<at::Scalar>
+    is_nullable: false
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, at::ArrayRef<at::Scalar>)
+  schema_order_arguments:
+  - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::ArrayRef<at::Scalar>
+    is_nullable: false
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
   method_of:
   - Type
   - namespace
   mode: native
   python_module: ''
-  returns:
-  - dynamic_type: at::TensorList
-    name: result
-    type: ::std::vector<at::Tensor>
-  inplace: false
+  returns: []
+  inplace: true
   is_factory_method: false
   abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_cosh_
-  operator_name: _foreach_cosh_
-  overload_name: ''
+- name: _foreach_addcmul_
+  operator_name: _foreach_addcmul_
+  overload_name: Tensor
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_cosh_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_addcmul_.Tensor(Tensor(a!)[] self, Tensor[] tensor1, Tensor[] tensor2, Tensor scalars) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList)
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: scalars
+    type: const at::Tensor &
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, const at::Tensor &)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: scalars
+    type: const at::Tensor &
   method_of:
   - Type
   - namespace
@@ -109614,12 +116567,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_erf
-  operator_name: _foreach_erf
+- name: _foreach_abs
+  operator_name: _foreach_abs
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_erf(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_abs(Tensor[] self) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -109649,12 +116602,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_erf_
-  operator_name: _foreach_erf_
+- name: _foreach_abs_
+  operator_name: _foreach_abs_
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_erf_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_abs_(Tensor(a!)[] self) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -109681,12 +116634,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_erfc
-  operator_name: _foreach_erfc
+- name: _foreach_acos
+  operator_name: _foreach_acos
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_erfc(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_acos(Tensor[] self) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -109716,12 +116669,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_erfc_
-  operator_name: _foreach_erfc_
+- name: _foreach_acos_
+  operator_name: _foreach_acos_
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_erfc_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_acos_(Tensor(a!)[] self) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -109748,12 +116701,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_expm1
-  operator_name: _foreach_expm1
+- name: _foreach_asin
+  operator_name: _foreach_asin
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_expm1(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_asin(Tensor[] self) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -109783,12 +116736,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_expm1_
-  operator_name: _foreach_expm1_
+- name: _foreach_asin_
+  operator_name: _foreach_asin_
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_expm1_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_asin_(Tensor(a!)[] self) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -109815,12 +116768,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_floor
-  operator_name: _foreach_floor
+- name: _foreach_atan
+  operator_name: _foreach_atan
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_floor(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_atan(Tensor[] self) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -109850,12 +116803,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_floor_
-  operator_name: _foreach_floor_
+- name: _foreach_atan_
+  operator_name: _foreach_atan_
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_floor_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_atan_(Tensor(a!)[] self) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -109882,12 +116835,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_log
-  operator_name: _foreach_log
+- name: _foreach_ceil
+  operator_name: _foreach_ceil
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_log(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_ceil(Tensor[] self) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -109917,12 +116870,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_log_
-  operator_name: _foreach_log_
+- name: _foreach_ceil_
+  operator_name: _foreach_ceil_
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_log_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_ceil_(Tensor(a!)[] self) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -109949,12 +116902,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_log10
-  operator_name: _foreach_log10
+- name: _foreach_cos
+  operator_name: _foreach_cos
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_log10(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_cos(Tensor[] self) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -109984,12 +116937,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_log10_
-  operator_name: _foreach_log10_
+- name: _foreach_cos_
+  operator_name: _foreach_cos_
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_log10_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_cos_(Tensor(a!)[] self) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -110016,12 +116969,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_log1p
-  operator_name: _foreach_log1p
+- name: _foreach_cosh
+  operator_name: _foreach_cosh
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_log1p(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_cosh(Tensor[] self) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -110051,12 +117004,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_log1p_
-  operator_name: _foreach_log1p_
+- name: _foreach_cosh_
+  operator_name: _foreach_cosh_
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_log1p_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_cosh_(Tensor(a!)[] self) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -110083,12 +117036,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_log2
-  operator_name: _foreach_log2
+- name: _foreach_erf
+  operator_name: _foreach_erf
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_log2(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_erf(Tensor[] self) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -110118,12 +117071,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_log2_
-  operator_name: _foreach_log2_
+- name: _foreach_erf_
+  operator_name: _foreach_erf_
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_log2_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_erf_(Tensor(a!)[] self) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -110150,12 +117103,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_neg
-  operator_name: _foreach_neg
+- name: _foreach_erfc
+  operator_name: _foreach_erfc
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_neg(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_erfc(Tensor[] self) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -110185,12 +117138,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_neg_
-  operator_name: _foreach_neg_
+- name: _foreach_erfc_
+  operator_name: _foreach_erfc_
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_neg_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_erfc_(Tensor(a!)[] self) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -110217,12 +117170,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_tan
-  operator_name: _foreach_tan
+- name: _foreach_exp
+  operator_name: _foreach_exp
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_tan(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_exp(Tensor[] self) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -110252,12 +117205,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_tan_
-  operator_name: _foreach_tan_
+- name: _foreach_exp_
+  operator_name: _foreach_exp_
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_tan_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_exp_(Tensor(a!)[] self) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -110284,12 +117237,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_tanh
-  operator_name: _foreach_tanh
+- name: _foreach_expm1
+  operator_name: _foreach_expm1
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_tanh(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_expm1(Tensor[] self) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -110319,12 +117272,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_tanh_
-  operator_name: _foreach_tanh_
+- name: _foreach_expm1_
+  operator_name: _foreach_expm1_
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_tanh_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_expm1_(Tensor(a!)[] self) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -110351,12 +117304,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_sin
-  operator_name: _foreach_sin
+- name: _foreach_floor
+  operator_name: _foreach_floor
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_sin(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_floor(Tensor[] self) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -110386,12 +117339,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_sin_
-  operator_name: _foreach_sin_
+- name: _foreach_floor_
+  operator_name: _foreach_floor_
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_sin_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_floor_(Tensor(a!)[] self) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -110418,12 +117371,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_sinh
-  operator_name: _foreach_sinh
+- name: _foreach_frac
+  operator_name: _foreach_frac
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_sinh(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_frac(Tensor[] self) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -110453,12 +117406,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_sinh_
-  operator_name: _foreach_sinh_
+- name: _foreach_frac_
+  operator_name: _foreach_frac_
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_sinh_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_frac_(Tensor(a!)[] self) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -110485,25 +117438,45 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_round
-  operator_name: _foreach_round
-  overload_name: ''
+- name: _foreach_lerp
+  operator_name: _foreach_lerp
+  overload_name: List
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_round(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_lerp.List(Tensor[] self, Tensor[] tensors1, Tensor[] weights) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensors1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: weights
+    type: at::TensorList
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensors1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: weights
+    type: at::TensorList
   method_of:
   - Type
   - namespace
@@ -110520,25 +117493,45 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_round_
-  operator_name: _foreach_round_
-  overload_name: ''
+- name: _foreach_lerp_
+  operator_name: _foreach_lerp_
+  overload_name: List
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_round_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_lerp_.List(Tensor(a!)[] self, Tensor[] tensors1, Tensor[] weights) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList)
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensors1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: weights
+    type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensors1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: weights
+    type: at::TensorList
   method_of:
   - Type
   - namespace
@@ -110552,25 +117545,45 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_lgamma
-  operator_name: _foreach_lgamma
-  overload_name: ''
+- name: _foreach_lerp
+  operator_name: _foreach_lerp
+  overload_name: Scalar
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_lgamma(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_lerp.Scalar(Tensor[] self, Tensor[] tensors1, Scalar weight) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensors1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: weight
+    type: const at::Scalar &
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList, const at::Scalar &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensors1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: weight
+    type: const at::Scalar &
   method_of:
   - Type
   - namespace
@@ -110587,25 +117600,45 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_lgamma_
-  operator_name: _foreach_lgamma_
-  overload_name: ''
+- name: _foreach_lerp_
+  operator_name: _foreach_lerp_
+  overload_name: Scalar
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_lgamma_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_lerp_.Scalar(Tensor(a!)[] self, Tensor[] tensors1, Scalar weight) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList)
-  schema_order_arguments:
-  - annotation: a!
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensors1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: weight
+    type: const at::Scalar &
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, const at::Scalar &)
+  schema_order_arguments:
+  - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensors1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: weight
+    type: const at::Scalar &
   method_of:
   - Type
   - namespace
@@ -110619,12 +117652,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_frac
-  operator_name: _foreach_frac
+- name: _foreach_lgamma
+  operator_name: _foreach_lgamma
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_frac(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_lgamma(Tensor[] self) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -110654,12 +117687,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_frac_
-  operator_name: _foreach_frac_
+- name: _foreach_lgamma_
+  operator_name: _foreach_lgamma_
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_frac_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_lgamma_(Tensor(a!)[] self) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -110686,12 +117719,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_reciprocal
-  operator_name: _foreach_reciprocal
+- name: _foreach_log
+  operator_name: _foreach_log
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_reciprocal(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_log(Tensor[] self) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -110721,12 +117754,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_reciprocal_
-  operator_name: _foreach_reciprocal_
+- name: _foreach_log_
+  operator_name: _foreach_log_
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_reciprocal_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_log_(Tensor(a!)[] self) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -110753,12 +117786,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_sigmoid
-  operator_name: _foreach_sigmoid
+- name: _foreach_log10
+  operator_name: _foreach_log10
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_sigmoid(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_log10(Tensor[] self) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -110788,12 +117821,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_sigmoid_
-  operator_name: _foreach_sigmoid_
+- name: _foreach_log10_
+  operator_name: _foreach_log10_
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_sigmoid_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_log10_(Tensor(a!)[] self) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -110820,12 +117853,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_trunc
-  operator_name: _foreach_trunc
+- name: _foreach_log1p
+  operator_name: _foreach_log1p
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_trunc(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_log1p(Tensor[] self) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -110855,12 +117888,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_trunc_
-  operator_name: _foreach_trunc_
+- name: _foreach_log1p_
+  operator_name: _foreach_log1p_
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_trunc_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_log1p_(Tensor(a!)[] self) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -110887,121 +117920,60 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_addcdiv_
-  operator_name: _foreach_addcdiv_
-  overload_name: Scalar
+- name: _foreach_log2
+  operator_name: _foreach_log2
+  overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_addcdiv_.Scalar(Tensor(a!)[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar value=1) -> ()
+  schema_string: aten::_foreach_log2(Tensor[] self) -> Tensor[]
   arguments:
-  - annotation: a!
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: self
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor1
-    type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor2
-    type: at::TensorList
-  - annotation: null
-    default: 1
-    dynamic_type: const at::Scalar &
-    is_nullable: false
-    name: value
-    type: const at::Scalar &
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, const at::Scalar &)
-  schema_order_arguments:
-  - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
+  schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor1
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor2
+    name: self
     type: at::TensorList
-  - annotation: null
-    default: 1
-    dynamic_type: const at::Scalar &
-    is_nullable: false
-    name: value
-    type: const at::Scalar &
   method_of:
   - Type
   - namespace
   mode: native
   python_module: ''
-  returns: []
-  inplace: true
+  returns:
+  - dynamic_type: at::TensorList
+    name: result
+    type: ::std::vector<at::Tensor>
+  inplace: false
   is_factory_method: false
   abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_addcmul_
-  operator_name: _foreach_addcmul_
-  overload_name: Scalar
+- name: _foreach_log2_
+  operator_name: _foreach_log2_
+  overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_addcmul_.Scalar(Tensor(a!)[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar value=1) -> ()
+  schema_string: aten::_foreach_log2_(Tensor(a!)[] self) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor1
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor2
-    type: at::TensorList
-  - annotation: null
-    default: 1
-    dynamic_type: const at::Scalar &
-    is_nullable: false
-    name: value
-    type: const at::Scalar &
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, const at::Scalar &)
+  schema_order_cpp_signature: void (at::TensorList)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor1
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor2
-    type: at::TensorList
-  - annotation: null
-    default: 1
-    dynamic_type: const at::Scalar &
-    is_nullable: false
-    name: value
-    type: const at::Scalar &
   method_of:
   - Type
   - namespace
@@ -111015,179 +117987,95 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_addcdiv_
-  operator_name: _foreach_addcdiv_
-  overload_name: ScalarList
+- name: _foreach_max
+  operator_name: _foreach_max
+  overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_addcdiv_.ScalarList(Tensor(a!)[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar[] scalars) -> ()
+  schema_string: aten::_foreach_max(Tensor[] self) -> Tensor[]
   arguments:
-  - annotation: a!
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: self
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor1
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor2
-    type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
-    is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, at::ArrayRef<at::Scalar>)
-  schema_order_arguments:
-  - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
+  schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor1
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor2
+    name: self
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
-    is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
   method_of:
   - Type
   - namespace
   mode: native
   python_module: ''
-  returns: []
-  inplace: true
+  returns:
+  - dynamic_type: at::TensorList
+    name: result
+    type: ::std::vector<at::Tensor>
+  inplace: false
   is_factory_method: false
   abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_addcdiv_
-  operator_name: _foreach_addcdiv_
-  overload_name: Tensor
+- name: _foreach_neg
+  operator_name: _foreach_neg
+  overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_addcdiv_.Tensor(Tensor(a!)[] self, Tensor[] tensor1, Tensor[] tensor2, Tensor scalars) -> ()
+  schema_string: aten::_foreach_neg(Tensor[] self) -> Tensor[]
   arguments:
-  - annotation: a!
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: self
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor1
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor2
-    type: at::TensorList
   - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: scalars
-    type: const at::Tensor &
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, const at::Tensor &)
-  schema_order_arguments:
-  - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
+  schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor1
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor2
+    name: self
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: scalars
-    type: const at::Tensor &
   method_of:
   - Type
   - namespace
   mode: native
   python_module: ''
-  returns: []
-  inplace: true
+  returns:
+  - dynamic_type: at::TensorList
+    name: result
+    type: ::std::vector<at::Tensor>
+  inplace: false
   is_factory_method: false
   abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_addcmul_
-  operator_name: _foreach_addcmul_
-  overload_name: ScalarList
+- name: _foreach_neg_
+  operator_name: _foreach_neg_
+  overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_addcmul_.ScalarList(Tensor(a!)[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar[] scalars) -> ()
+  schema_string: aten::_foreach_neg_(Tensor(a!)[] self) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor1
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor2
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
-    is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, at::ArrayRef<at::Scalar>)
+  schema_order_cpp_signature: void (at::TensorList)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor1
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor2
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
-    is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
   method_of:
   - Type
   - namespace
@@ -111201,74 +118089,71 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_addcmul_
-  operator_name: _foreach_addcmul_
-  overload_name: Tensor
+- name: _foreach_norm
+  operator_name: _foreach_norm
+  overload_name: Scalar
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_addcmul_.Tensor(Tensor(a!)[] self, Tensor[] tensor1, Tensor[] tensor2, Tensor scalars) -> ()
+  schema_string: aten::_foreach_norm.Scalar(Tensor[] self, Scalar ord=2, ScalarType? dtype=None) -> Tensor[]
   arguments:
-  - annotation: a!
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: self
-    type: at::TensorList
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor1
+    name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    default: 2
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: tensor2
-    type: at::TensorList
+    name: ord
+    type: const at::Scalar &
   - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: scalars
-    type: const at::Tensor &
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, const at::Tensor &)
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, const at::Scalar &, ::std::optional<at::ScalarType>)
   schema_order_arguments:
-  - annotation: a!
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: self
-    type: at::TensorList
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor1
+    name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    default: 2
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: tensor2
-    type: at::TensorList
+    name: ord
+    type: const at::Scalar &
   - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: scalars
-    type: const at::Tensor &
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - namespace
   mode: native
   python_module: ''
-  returns: []
-  inplace: true
+  returns:
+  - dynamic_type: at::TensorList
+    name: result
+    type: ::std::vector<at::Tensor>
+  inplace: false
   is_factory_method: false
   abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_addcdiv
-  operator_name: _foreach_addcdiv
-  overload_name: Scalar
+- name: _foreach_pow
+  operator_name: _foreach_pow
+  overload_name: List
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_addcdiv.Scalar(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar value=1) -> Tensor[]
+  schema_string: aten::_foreach_pow.List(Tensor[] self, Tensor[] exponent) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -111278,20 +118163,9 @@
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor1
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor2
+    name: exponent
     type: at::TensorList
-  - annotation: null
-    default: 1
-    dynamic_type: const at::Scalar &
-    is_nullable: false
-    name: value
-    type: const at::Scalar &
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList, at::TensorList, const at::Scalar &)
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -111301,19 +118175,8 @@
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor1
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor2
+    name: exponent
     type: at::TensorList
-  - annotation: null
-    default: 1
-    dynamic_type: const at::Scalar &
-    is_nullable: false
-    name: value
-    type: const at::Scalar &
   method_of:
   - Type
   - namespace
@@ -111330,12 +118193,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_addcmul
-  operator_name: _foreach_addcmul
+- name: _foreach_pow
+  operator_name: _foreach_pow
   overload_name: Scalar
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_addcmul.Scalar(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar value=1) -> Tensor[]
+  schema_string: aten::_foreach_pow.Scalar(Tensor[] self, Scalar exponent) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -111343,22 +118206,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor1
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor2
-    type: at::TensorList
-  - annotation: null
-    default: 1
     dynamic_type: const at::Scalar &
     is_nullable: false
-    name: value
+    name: exponent
     type: const at::Scalar &
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList, at::TensorList, const at::Scalar &)
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, const at::Scalar &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -111366,20 +118218,9 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor1
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor2
-    type: at::TensorList
-  - annotation: null
-    default: 1
     dynamic_type: const at::Scalar &
     is_nullable: false
-    name: value
+    name: exponent
     type: const at::Scalar &
   method_of:
   - Type
@@ -111397,54 +118238,34 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_addcdiv
-  operator_name: _foreach_addcdiv
+- name: _foreach_pow
+  operator_name: _foreach_pow
   overload_name: ScalarList
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_addcdiv.ScalarList(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar[] scalars) -> Tensor[]
+  schema_string: aten::_foreach_pow.ScalarList(Tensor[] self, Scalar[] exponent) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor1
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor2
-    type: at::TensorList
   - annotation: null
     dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    name: scalars
+    name: exponent
     type: at::ArrayRef<at::Scalar>
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList, at::TensorList, at::ArrayRef<at::Scalar>)
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::ArrayRef<at::Scalar>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor1
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor2
-    type: at::TensorList
   - annotation: null
     dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    name: scalars
+    name: exponent
     type: at::ArrayRef<at::Scalar>
   method_of:
   - Type
@@ -111462,55 +118283,35 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_addcdiv
-  operator_name: _foreach_addcdiv
-  overload_name: Tensor
+- name: _foreach_pow
+  operator_name: _foreach_pow
+  overload_name: ScalarAndTensor
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_addcdiv.Tensor(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Tensor scalars) -> Tensor[]
+  schema_string: aten::_foreach_pow.ScalarAndTensor(Scalar self, Tensor[] exponent) -> Tensor[]
   arguments:
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: const at::Scalar &
     is_nullable: false
     name: self
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor1
-    type: at::TensorList
+    type: const at::Scalar &
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor2
+    name: exponent
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: scalars
-    type: const at::Tensor &
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList, at::TensorList, const at::Tensor &)
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (const at::Scalar &, at::TensorList)
   schema_order_arguments:
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: const at::Scalar &
     is_nullable: false
     name: self
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor1
-    type: at::TensorList
+    type: const at::Scalar &
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor2
+    name: exponent
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: scalars
-    type: const at::Tensor &
   method_of:
   - Type
   - namespace
@@ -111527,14 +118328,14 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_addcmul
-  operator_name: _foreach_addcmul
-  overload_name: ScalarList
+- name: _foreach_pow_
+  operator_name: _foreach_pow_
+  overload_name: List
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_addcmul.ScalarList(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar[] scalars) -> Tensor[]
+  schema_string: aten::_foreach_pow_.List(Tensor(a!)[] self, Tensor[] exponent) -> ()
   arguments:
-  - annotation: null
+  - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
@@ -111542,21 +118343,11 @@
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor1
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor2
+    name: exponent
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
-    is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList, at::TensorList, at::ArrayRef<at::Scalar>)
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
   schema_order_arguments:
-  - annotation: null
+  - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
@@ -111564,130 +118355,124 @@
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor1
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor2
+    name: exponent
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
-    is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
   method_of:
   - Type
   - namespace
   mode: native
   python_module: ''
-  returns:
-  - dynamic_type: at::TensorList
-    name: result
-    type: ::std::vector<at::Tensor>
-  inplace: false
+  returns: []
+  inplace: true
   is_factory_method: false
   abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_addcmul
-  operator_name: _foreach_addcmul
-  overload_name: Tensor
+- name: _foreach_pow_
+  operator_name: _foreach_pow_
+  overload_name: Scalar
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_addcmul.Tensor(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Tensor scalars) -> Tensor[]
+  schema_string: aten::_foreach_pow_.Scalar(Tensor(a!)[] self, Scalar exponent) -> ()
   arguments:
-  - annotation: null
+  - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: tensor1
-    type: at::TensorList
-  - annotation: null
+    name: exponent
+    type: const at::Scalar &
+  schema_order_cpp_signature: void (at::TensorList, const at::Scalar &)
+  schema_order_arguments:
+  - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor2
+    name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalars
-    type: const at::Tensor &
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList, at::TensorList, const at::Tensor &)
-  schema_order_arguments:
-  - annotation: null
+    name: exponent
+    type: const at::Scalar &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: true
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foreach_pow_
+  operator_name: _foreach_pow_
+  overload_name: ScalarList
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foreach_pow_.ScalarList(Tensor(a!)[] self, Scalar[] exponent) -> ()
+  arguments:
+  - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    name: tensor1
-    type: at::TensorList
-  - annotation: null
+    name: exponent
+    type: at::ArrayRef<at::Scalar>
+  schema_order_cpp_signature: void (at::TensorList, at::ArrayRef<at::Scalar>)
+  schema_order_arguments:
+  - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor2
+    name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    name: scalars
-    type: const at::Tensor &
+    name: exponent
+    type: at::ArrayRef<at::Scalar>
   method_of:
   - Type
   - namespace
   mode: native
   python_module: ''
-  returns:
-  - dynamic_type: at::TensorList
-    name: result
-    type: ::std::vector<at::Tensor>
-  inplace: false
+  returns: []
+  inplace: true
   is_factory_method: false
   abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_norm
-  operator_name: _foreach_norm
-  overload_name: Scalar
+- name: _foreach_reciprocal
+  operator_name: _foreach_reciprocal
+  overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_norm.Scalar(Tensor[] self, Scalar ord=2) -> Tensor[]
+  schema_string: aten::_foreach_reciprocal(Tensor[] self) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  - annotation: null
-    default: 2
-    dynamic_type: const at::Scalar &
-    is_nullable: false
-    name: ord
-    type: const at::Scalar &
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, const at::Scalar &)
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  - annotation: null
-    default: 2
-    dynamic_type: const at::Scalar &
-    is_nullable: false
-    name: ord
-    type: const at::Scalar &
   method_of:
   - Type
   - namespace
@@ -111704,44 +118489,56 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_lerp
-  operator_name: _foreach_lerp
-  overload_name: List
+- name: _foreach_reciprocal_
+  operator_name: _foreach_reciprocal_
+  overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_lerp.List(Tensor[] self, Tensor[] tensors1, Tensor[] weights) -> Tensor[]
+  schema_string: aten::_foreach_reciprocal_(Tensor(a!)[] self) -> ()
   arguments:
-  - annotation: null
+  - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensors1
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: weights
-    type: at::TensorList
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList, at::TensorList)
+  schema_order_cpp_signature: void (at::TensorList)
   schema_order_arguments:
-  - annotation: null
+  - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: true
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foreach_round
+  operator_name: _foreach_round
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foreach_round(Tensor[] self) -> Tensor[]
+  arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensors1
+    name: self
     type: at::TensorList
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
+  schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: weights
+    name: self
     type: at::TensorList
   method_of:
   - Type
@@ -111759,44 +118556,91 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_lerp_
-  operator_name: _foreach_lerp_
-  overload_name: List
+- name: _foreach_round_
+  operator_name: _foreach_round_
+  overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_lerp_.List(Tensor(a!)[] self, Tensor[] tensors1, Tensor[] weights) -> ()
+  schema_string: aten::_foreach_round_(Tensor(a!)[] self) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  - annotation: null
+  schema_order_cpp_signature: void (at::TensorList)
+  schema_order_arguments:
+  - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensors1
+    name: self
     type: at::TensorList
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: true
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foreach_sigmoid
+  operator_name: _foreach_sigmoid
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foreach_sigmoid(Tensor[] self) -> Tensor[]
+  arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: weights
+    name: self
     type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList)
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
   schema_order_arguments:
-  - annotation: a!
+  - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  - annotation: null
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::TensorList
+    name: result
+    type: ::std::vector<at::Tensor>
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foreach_sigmoid_
+  operator_name: _foreach_sigmoid_
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foreach_sigmoid_(Tensor(a!)[] self) -> ()
+  arguments:
+  - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensors1
+    name: self
     type: at::TensorList
-  - annotation: null
+  schema_order_cpp_signature: void (at::TensorList)
+  schema_order_arguments:
+  - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
-    name: weights
+    name: self
     type: at::TensorList
   method_of:
   - Type
@@ -111811,45 +118655,25 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_lerp
-  operator_name: _foreach_lerp
-  overload_name: Scalar
+- name: _foreach_sign
+  operator_name: _foreach_sign
+  overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_lerp.Scalar(Tensor[] self, Tensor[] tensors1, Scalar weight) -> Tensor[]
+  schema_string: aten::_foreach_sign(Tensor[] self) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensors1
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: const at::Scalar &
-    is_nullable: false
-    name: weight
-    type: const at::Scalar &
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList, const at::Scalar &)
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensors1
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: const at::Scalar &
-    is_nullable: false
-    name: weight
-    type: const at::Scalar &
   method_of:
   - Type
   - namespace
@@ -111866,45 +118690,25 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_lerp_
-  operator_name: _foreach_lerp_
-  overload_name: Scalar
+- name: _foreach_sign_
+  operator_name: _foreach_sign_
+  overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_lerp_.Scalar(Tensor(a!)[] self, Tensor[] tensors1, Scalar weight) -> ()
+  schema_string: aten::_foreach_sign_(Tensor(a!)[] self) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensors1
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: const at::Scalar &
-    is_nullable: false
-    name: weight
-    type: const at::Scalar &
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, const at::Scalar &)
+  schema_order_cpp_signature: void (at::TensorList)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensors1
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: const at::Scalar &
-    is_nullable: false
-    name: weight
-    type: const at::Scalar &
   method_of:
   - Type
   - namespace
@@ -111918,72 +118722,34 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: bucketize
-  operator_name: bucketize
-  overload_name: Tensor
+- name: _foreach_sin
+  operator_name: _foreach_sin
+  overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::bucketize.Tensor(Tensor self, Tensor boundaries, *, bool out_int32=False, bool right=False) -> Tensor
+  schema_string: aten::_foreach_sin(Tensor[] self) -> Tensor[]
   arguments:
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: at::TensorList
     is_nullable: false
     name: self
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: boundaries
-    type: const at::Tensor &
-  - annotation: null
-    default: false
-    dynamic_type: bool
-    is_nullable: false
-    kwarg_only: true
-    name: out_int32
-    type: bool
-  - annotation: null
-    default: false
-    dynamic_type: bool
-    is_nullable: false
-    kwarg_only: true
-    name: right
-    type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, bool, bool)
+    type: at::TensorList
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
   schema_order_arguments:
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: at::TensorList
     is_nullable: false
     name: self
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: boundaries
-    type: const at::Tensor &
-  - annotation: null
-    default: false
-    dynamic_type: bool
-    is_nullable: false
-    kwarg_only: true
-    name: out_int32
-    type: bool
-  - annotation: null
-    default: false
-    dynamic_type: bool
-    is_nullable: false
-    kwarg_only: true
-    name: right
-    type: bool
+    type: at::TensorList
   method_of:
   - Type
   - namespace
   mode: native
   python_module: ''
   returns:
-  - dynamic_type: at::Tensor
+  - dynamic_type: at::TensorList
     name: result
-    type: at::Tensor
+    type: ::std::vector<at::Tensor>
   inplace: false
   is_factory_method: false
   abstract: true
@@ -111991,159 +118757,66 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: bucketize_out
-  operator_name: bucketize
-  overload_name: Tensor_out
+- name: _foreach_sin_
+  operator_name: _foreach_sin_
+  overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::bucketize.Tensor_out(Tensor self, Tensor boundaries, *, bool out_int32=False, bool right=False, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::_foreach_sin_(Tensor(a!)[] self) -> ()
   arguments:
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
+  - annotation: a!
+    dynamic_type: at::TensorList
     is_nullable: false
     name: self
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: boundaries
-    type: const at::Tensor &
-  - annotation: null
-    default: false
-    dynamic_type: bool
-    is_nullable: false
-    kwarg_only: true
-    name: out_int32
-    type: bool
-  - annotation: null
-    default: false
-    dynamic_type: bool
-    is_nullable: false
-    kwarg_only: true
-    name: right
-    type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, bool, bool, at::Tensor &)
+    type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList)
   schema_order_arguments:
-  - annotation: null
-    dynamic_type: at::Tensor
+  - annotation: a!
+    dynamic_type: at::TensorList
     is_nullable: false
     name: self
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: boundaries
-    type: const at::Tensor &
-  - annotation: null
-    default: false
-    dynamic_type: bool
-    is_nullable: false
-    kwarg_only: true
-    name: out_int32
-    type: bool
-  - annotation: null
-    default: false
-    dynamic_type: bool
-    is_nullable: false
-    kwarg_only: true
-    name: right
-    type: bool
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
+    type: at::TensorList
   method_of:
   - Type
   - namespace
   mode: native
   python_module: ''
-  returns:
-  - dynamic_type: at::Tensor
-    name: out
-    type: at::Tensor &
-  inplace: false
+  returns: []
+  inplace: true
   is_factory_method: false
   abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: bucketize
-  operator_name: bucketize
-  overload_name: Scalar
+- name: _foreach_sinh
+  operator_name: _foreach_sinh
+  overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::bucketize.Scalar(Scalar self, Tensor boundaries, *, bool out_int32=False, bool right=False) -> Tensor
+  schema_string: aten::_foreach_sinh(Tensor[] self) -> Tensor[]
   arguments:
   - annotation: null
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::TensorList
     is_nullable: false
     name: self
-    type: const at::Scalar &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: boundaries
-    type: const at::Tensor &
-  - annotation: null
-    default: false
-    dynamic_type: bool
-    is_nullable: false
-    kwarg_only: true
-    name: out_int32
-    type: bool
-  - annotation: null
-    default: false
-    dynamic_type: bool
-    is_nullable: false
-    kwarg_only: true
-    name: right
-    type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Scalar &, const at::Tensor &, bool, bool)
+    type: at::TensorList
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
   schema_order_arguments:
   - annotation: null
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::TensorList
     is_nullable: false
     name: self
-    type: const at::Scalar &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: boundaries
-    type: const at::Tensor &
-  - annotation: null
-    default: false
-    dynamic_type: bool
-    is_nullable: false
-    kwarg_only: true
-    name: out_int32
-    type: bool
-  - annotation: null
-    default: false
-    dynamic_type: bool
-    is_nullable: false
-    kwarg_only: true
-    name: right
-    type: bool
+    type: at::TensorList
   method_of:
   - Type
   - namespace
   mode: native
   python_module: ''
   returns:
-  - dynamic_type: at::Tensor
+  - dynamic_type: at::TensorList
     name: result
-    type: at::Tensor
+    type: ::std::vector<at::Tensor>
   inplace: false
   is_factory_method: false
   abstract: true
@@ -112151,26 +118824,470 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: searchsorted
-  operator_name: searchsorted
-  overload_name: Tensor
+- name: _foreach_sinh_
+  operator_name: _foreach_sinh_
+  overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::searchsorted.Tensor(Tensor sorted_sequence, Tensor self, *, bool out_int32=False, bool right=False, str? side=None, Tensor? sorter=None) -> Tensor
+  schema_string: aten::_foreach_sinh_(Tensor(a!)[] self) -> ()
   arguments:
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: sorted_sequence
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
+  - annotation: a!
+    dynamic_type: at::TensorList
     is_nullable: false
     name: self
-    type: const at::Tensor &
-  - annotation: null
-    default: false
-    dynamic_type: bool
+    type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList)
+  schema_order_arguments:
+  - annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: true
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foreach_sqrt
+  operator_name: _foreach_sqrt
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foreach_sqrt(Tensor[] self) -> Tensor[]
+  arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::TensorList
+    name: result
+    type: ::std::vector<at::Tensor>
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foreach_sqrt_
+  operator_name: _foreach_sqrt_
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foreach_sqrt_(Tensor(a!)[] self) -> ()
+  arguments:
+  - annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList)
+  schema_order_arguments:
+  - annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: true
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foreach_tan
+  operator_name: _foreach_tan
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foreach_tan(Tensor[] self) -> Tensor[]
+  arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::TensorList
+    name: result
+    type: ::std::vector<at::Tensor>
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foreach_tan_
+  operator_name: _foreach_tan_
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foreach_tan_(Tensor(a!)[] self) -> ()
+  arguments:
+  - annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList)
+  schema_order_arguments:
+  - annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: true
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foreach_tanh
+  operator_name: _foreach_tanh
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foreach_tanh(Tensor[] self) -> Tensor[]
+  arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::TensorList
+    name: result
+    type: ::std::vector<at::Tensor>
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foreach_tanh_
+  operator_name: _foreach_tanh_
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foreach_tanh_(Tensor(a!)[] self) -> ()
+  arguments:
+  - annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList)
+  schema_order_arguments:
+  - annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: true
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foreach_trunc
+  operator_name: _foreach_trunc
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foreach_trunc(Tensor[] self) -> Tensor[]
+  arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::TensorList
+    name: result
+    type: ::std::vector<at::Tensor>
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foreach_trunc_
+  operator_name: _foreach_trunc_
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foreach_trunc_(Tensor(a!)[] self) -> ()
+  arguments:
+  - annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList)
+  schema_order_arguments:
+  - annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: true
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foreach_zero_
+  operator_name: _foreach_zero_
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foreach_zero_(Tensor(a!)[] self) -> ()
+  arguments:
+  - annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList)
+  schema_order_arguments:
+  - annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: true
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foreach_copy_
+  operator_name: _foreach_copy_
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foreach_copy_(Tensor(a!)[] self, Tensor[] src, bool non_blocking=False) -> ()
+  arguments:
+  - annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: src
+    type: at::TensorList
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: non_blocking
+    type: bool
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, bool)
+  schema_order_arguments:
+  - annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: src
+    type: at::TensorList
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: non_blocking
+    type: bool
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: true
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foreach_copy
+  operator_name: _foreach_copy
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foreach_copy(Tensor[] self, Tensor[] src, bool non_blocking=False) -> Tensor[] self_out
+  arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: src
+    type: at::TensorList
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: non_blocking
+    type: bool
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList, bool)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: src
+    type: at::TensorList
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: non_blocking
+    type: bool
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::TensorList
+    field_name: self_out
+    name: self_out
+    type: ::std::vector<at::Tensor>
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: bucketize
+  operator_name: bucketize
+  overload_name: Tensor
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::bucketize.Tensor(Tensor self, Tensor boundaries, *, bool out_int32=False, bool right=False) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: boundaries
+    type: const at::Tensor &
+  - annotation: null
+    default: false
+    dynamic_type: bool
     is_nullable: false
     kwarg_only: true
     name: out_int32
@@ -112182,21 +119299,254 @@
     kwarg_only: true
     name: right
     type: bool
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, bool, bool)
+  schema_order_arguments:
   - annotation: null
-    default: c10::nullopt
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: boundaries
+    type: const at::Tensor &
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: out_int32
+    type: bool
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: right
+    type: bool
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: bucketize_out
+  operator_name: bucketize
+  overload_name: Tensor_out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::bucketize.Tensor_out(Tensor self, Tensor boundaries, *, bool out_int32=False, bool right=False, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: boundaries
+    type: const at::Tensor &
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: out_int32
+    type: bool
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: right
+    type: bool
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, bool, bool, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: boundaries
+    type: const at::Tensor &
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: out_int32
+    type: bool
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: right
+    type: bool
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: bucketize
+  operator_name: bucketize
+  overload_name: Scalar
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::bucketize.Scalar(Scalar self, Tensor boundaries, *, bool out_int32=False, bool right=False) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: self
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: boundaries
+    type: const at::Tensor &
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: out_int32
+    type: bool
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: right
+    type: bool
+  schema_order_cpp_signature: at::Tensor (const at::Scalar &, const at::Tensor &, bool, bool)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: self
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: boundaries
+    type: const at::Tensor &
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: out_int32
+    type: bool
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: right
+    type: bool
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: searchsorted
+  operator_name: searchsorted
+  overload_name: Tensor
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::searchsorted.Tensor(Tensor sorted_sequence, Tensor self, *, bool out_int32=False, bool right=False, str? side=None, Tensor? sorter=None) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: sorted_sequence
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: out_int32
+    type: bool
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: right
+    type: bool
+  - annotation: null
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     kwarg_only: true
     name: side
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: sorter
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, bool, bool, c10::optional<c10::string_view>, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, bool, bool, ::std::optional<c10::string_view>, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -112223,19 +119573,19 @@
     name: right
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     kwarg_only: true
     name: side
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: sorter
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - namespace
@@ -112291,20 +119641,20 @@
     name: right
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     kwarg_only: true
     name: side
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: sorter
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, bool, bool, c10::optional<c10::string_view>, const c10::optional<at::Tensor> &, at::Tensor &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, bool, bool, ::std::optional<c10::string_view>, const ::std::optional<at::Tensor> &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -112331,19 +119681,19 @@
     name: right
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     kwarg_only: true
     name: side
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: sorter
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -112399,20 +119749,20 @@
     name: right
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     kwarg_only: true
     name: side
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: sorter
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Scalar &, bool, bool, c10::optional<c10::string_view>, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Scalar &, bool, bool, ::std::optional<c10::string_view>, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -112439,19 +119789,19 @@
     name: right
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     kwarg_only: true
     name: side
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: sorter
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - namespace
@@ -112468,6 +119818,121 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: searchsorted_out
+  operator_name: searchsorted
+  overload_name: Scalar_out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::searchsorted.Scalar_out(Tensor sorted_sequence, Scalar self, *, bool out_int32=False, bool right=False, str? side=None, Tensor? sorter=None, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: sorted_sequence
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: self
+    type: const at::Scalar &
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: out_int32
+    type: bool
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: right
+    type: bool
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: c10::string_view
+    is_nullable: true
+    kwarg_only: true
+    name: side
+    type: ::std::optional<c10::string_view>
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: sorter
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Scalar &, bool, bool, ::std::optional<c10::string_view>, const ::std::optional<at::Tensor> &, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: sorted_sequence
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: self
+    type: const at::Scalar &
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: out_int32
+    type: bool
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: right
+    type: bool
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: c10::string_view
+    is_nullable: true
+    kwarg_only: true
+    name: side
+    type: ::std::optional<c10::string_view>
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: sorter
+    type: const ::std::optional<at::Tensor> &
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: _convert_indices_from_coo_to_csr
   operator_name: _convert_indices_from_coo_to_csr
   overload_name: ''
@@ -113130,14 +120595,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
     is_nullable: false
     name: reduction
     type: int64_t
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Scalar &, const at::Scalar &, const c10::optional<at::Tensor> &, int64_t, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Scalar &, const at::Scalar &, const ::std::optional<at::Tensor> &, int64_t, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -113166,7 +120631,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
@@ -113230,14 +120695,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
     is_nullable: false
     name: reduction
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Scalar &, const at::Scalar &, const c10::optional<at::Tensor> &, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Scalar &, const at::Scalar &, const ::std::optional<at::Tensor> &, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -113266,7 +120731,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
@@ -113333,14 +120798,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
     is_nullable: false
     name: reduction
     type: int64_t
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Scalar &, const at::Scalar &, const c10::optional<at::Tensor> &, int64_t, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Scalar &, const at::Scalar &, const ::std::optional<at::Tensor> &, int64_t, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -113372,7 +120837,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
@@ -113439,14 +120904,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
     is_nullable: false
     name: reduction
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Scalar &, const at::Scalar &, const c10::optional<at::Tensor> &, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Scalar &, const at::Scalar &, const ::std::optional<at::Tensor> &, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -113478,7 +120943,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
@@ -113968,7 +121433,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
@@ -113981,7 +121446,7 @@
     is_nullable: false
     name: ignore_index
     type: int64_t
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, int64_t, int64_t, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, int64_t, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -113998,7 +121463,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
@@ -114056,7 +121521,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
@@ -114069,7 +121534,7 @@
     is_nullable: false
     name: ignore_index
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, int64_t, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -114086,7 +121551,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
@@ -114137,7 +121602,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
@@ -114150,7 +121615,7 @@
     is_nullable: false
     name: ignore_index
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, int64_t, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -114167,7 +121632,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
@@ -114231,7 +121696,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -114242,7 +121707,7 @@
     is_nullable: false
     name: ignore_index
     type: int64_t
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, int64_t, int64_t, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, int64_t, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -114258,7 +121723,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -114323,7 +121788,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -114334,7 +121799,7 @@
     is_nullable: false
     name: ignore_index
     type: int64_t
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, int64_t, int64_t)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -114350,7 +121815,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -114415,7 +121880,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -114431,7 +121896,7 @@
     is_nullable: false
     name: total_weight
     type: const at::Tensor &
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, int64_t, int64_t, const at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, int64_t, const at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -114452,7 +121917,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -114517,7 +121982,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -114533,7 +121998,7 @@
     is_nullable: false
     name: total_weight
     type: const at::Tensor &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, int64_t, int64_t, const at::Tensor &)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, int64_t, const at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -114554,7 +122019,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -114615,7 +122080,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
@@ -114628,7 +122093,7 @@
     is_nullable: false
     name: ignore_index
     type: int64_t
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, int64_t, int64_t, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, int64_t, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -114645,7 +122110,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
@@ -114703,7 +122168,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
@@ -114716,7 +122181,7 @@
     is_nullable: false
     name: ignore_index
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, int64_t, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -114733,7 +122198,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
@@ -114797,7 +122262,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -114808,7 +122273,7 @@
     is_nullable: false
     name: ignore_index
     type: int64_t
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, int64_t, int64_t, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, int64_t, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -114824,7 +122289,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -114889,7 +122354,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -114900,7 +122365,7 @@
     is_nullable: false
     name: ignore_index
     type: int64_t
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, int64_t, int64_t)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -114916,7 +122381,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -114981,7 +122446,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -114997,7 +122462,7 @@
     is_nullable: false
     name: total_weight
     type: const at::Tensor &
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, int64_t, int64_t, const at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, int64_t, const at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -115018,7 +122483,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -115083,7 +122548,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -115099,7 +122564,7 @@
     is_nullable: false
     name: total_weight
     type: const at::Tensor &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, int64_t, int64_t, const at::Tensor &)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, int64_t, const at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -115120,7 +122585,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -118227,12 +125692,12 @@
     name: training
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Scalar &, const at::Scalar &, bool, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Scalar &, const at::Scalar &, bool, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -118263,11 +125728,11 @@
     name: training
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -118327,12 +125792,12 @@
     name: training
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Scalar &, const at::Scalar &, bool, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Scalar &, const at::Scalar &, bool, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -118363,11 +125828,11 @@
     name: training
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - namespace
@@ -118515,12 +125980,12 @@
     name: training
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const at::Tensor &, const at::Scalar &, const at::Scalar &, bool, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const at::Tensor &, const at::Scalar &, const at::Scalar &, bool, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -118551,11 +126016,11 @@
     name: training
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - namespace
@@ -120248,12 +127713,12 @@
     name: count_include_pad
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: divisor_override
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, bool, c10::optional<int64_t>, at::Tensor &)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, bool, ::std::optional<int64_t>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -120293,11 +127758,11 @@
     name: count_include_pad
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: divisor_override
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -120366,12 +127831,12 @@
     name: count_include_pad
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: divisor_override
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, bool, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, bool, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -120411,11 +127876,11 @@
     name: count_include_pad
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: divisor_override
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - namespace
@@ -120488,8 +127953,8 @@
     dynamic_type: int64_t
     is_nullable: true
     name: divisor_override
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, bool, c10::optional<int64_t>, at::Tensor &)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, bool, ::std::optional<int64_t>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -120533,7 +127998,7 @@
     dynamic_type: int64_t
     is_nullable: true
     name: divisor_override
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -120606,8 +128071,8 @@
     dynamic_type: int64_t
     is_nullable: true
     name: divisor_override
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, bool, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, bool, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -120651,7 +128116,7 @@
     dynamic_type: int64_t
     is_nullable: true
     name: divisor_override
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - namespace
@@ -120720,12 +128185,12 @@
     name: count_include_pad
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: divisor_override
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, bool, c10::optional<int64_t>, at::Tensor &)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, bool, ::std::optional<int64_t>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -120765,11 +128230,11 @@
     name: count_include_pad
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: divisor_override
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -120838,12 +128303,12 @@
     name: count_include_pad
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: divisor_override
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, bool, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, bool, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -120883,11 +128348,11 @@
     name: count_include_pad
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: divisor_override
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - namespace
@@ -120960,8 +128425,8 @@
     dynamic_type: int64_t
     is_nullable: true
     name: divisor_override
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, bool, c10::optional<int64_t>, at::Tensor &)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, bool, ::std::optional<int64_t>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -121005,7 +128470,7 @@
     dynamic_type: int64_t
     is_nullable: true
     name: divisor_override
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -121078,8 +128543,8 @@
     dynamic_type: int64_t
     is_nullable: true
     name: divisor_override
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, bool, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, bool, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -121123,7 +128588,7 @@
     dynamic_type: int64_t
     is_nullable: true
     name: divisor_override
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - namespace
@@ -122785,7 +130250,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::max_unpool2d.out(Tensor self, Tensor indices, int[2] output_size, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::max_unpool2d.out(Tensor self, Tensor indices, SymInt[2] output_size, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -122856,7 +130321,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::max_unpool2d(Tensor self, Tensor indices, int[2] output_size) -> Tensor
+  schema_string: aten::max_unpool2d(Tensor self, Tensor indices, SymInt[2] output_size) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -122913,7 +130378,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::max_unpool3d.out(Tensor self, Tensor indices, int[3] output_size, int[3] stride, int[3] padding, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::max_unpool3d.out(Tensor self, Tensor indices, SymInt[3] output_size, int[3] stride, int[3] padding, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -123008,7 +130473,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::max_unpool3d(Tensor self, Tensor indices, int[3] output_size, int[3] stride, int[3] padding) -> Tensor
+  schema_string: aten::max_unpool3d(Tensor self, Tensor indices, SymInt[3] output_size, int[3] stride, int[3] padding) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -124568,12 +132033,12 @@
     name: mode
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: value
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, int64_t, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, int64_t, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -124591,11 +132056,11 @@
     name: mode
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: value
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -124636,12 +132101,12 @@
     name: mode
     type: c10::string_view
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: value
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, c10::string_view, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, c10::string_view, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -124660,11 +132125,11 @@
     name: mode
     type: c10::string_view
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: value
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -124707,8 +132172,8 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: scale_factors
-    type: c10::optional<at::ArrayRef<double>>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, bool, c10::optional<at::ArrayRef<double>>)
+    type: ::std::optional<at::ArrayRef<double>>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, bool, ::std::optional<at::ArrayRef<double>>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -124729,7 +132194,7 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: scale_factors
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   method_of:
   - Type
   - namespace
@@ -124772,8 +132237,8 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: scale_factors
-    type: c10::optional<at::ArrayRef<double>>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, bool, c10::optional<at::ArrayRef<double>>)
+    type: ::std::optional<at::ArrayRef<double>>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, bool, ::std::optional<at::ArrayRef<double>>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -124794,7 +132259,7 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: scale_factors
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   method_of:
   - Type
   - namespace
@@ -124837,8 +132302,8 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: scale_factors
-    type: c10::optional<at::ArrayRef<double>>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, bool, c10::optional<at::ArrayRef<double>>)
+    type: ::std::optional<at::ArrayRef<double>>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, bool, ::std::optional<at::ArrayRef<double>>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -124859,7 +132324,7 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: scale_factors
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   method_of:
   - Type
   - namespace
@@ -124902,8 +132367,8 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: scale_factors
-    type: c10::optional<at::ArrayRef<double>>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, bool, c10::optional<at::ArrayRef<double>>)
+    type: ::std::optional<at::ArrayRef<double>>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, bool, ::std::optional<at::ArrayRef<double>>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -124924,7 +132389,7 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: scale_factors
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   method_of:
   - Type
   - namespace
@@ -124967,8 +132432,8 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: scale_factors
-    type: c10::optional<at::ArrayRef<double>>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, bool, c10::optional<at::ArrayRef<double>>)
+    type: ::std::optional<at::ArrayRef<double>>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, bool, ::std::optional<at::ArrayRef<double>>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -124989,7 +132454,7 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: scale_factors
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   method_of:
   - Type
   - namespace
@@ -125032,8 +132497,8 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: scale_factors
-    type: c10::optional<at::ArrayRef<double>>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, bool, c10::optional<at::ArrayRef<double>>)
+    type: ::std::optional<at::ArrayRef<double>>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, bool, ::std::optional<at::ArrayRef<double>>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -125054,7 +132519,7 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: scale_factors
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   method_of:
   - Type
   - namespace
@@ -125092,8 +132557,8 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: scale_factors
-    type: c10::optional<at::ArrayRef<double>>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, c10::optional<at::ArrayRef<double>>)
+    type: ::std::optional<at::ArrayRef<double>>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, ::std::optional<at::ArrayRef<double>>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -125109,7 +132574,7 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: scale_factors
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   method_of:
   - Type
   - namespace
@@ -125147,8 +132612,8 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: scale_factors
-    type: c10::optional<at::ArrayRef<double>>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, c10::optional<at::ArrayRef<double>>)
+    type: ::std::optional<at::ArrayRef<double>>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, ::std::optional<at::ArrayRef<double>>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -125164,7 +132629,7 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: scale_factors
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   method_of:
   - Type
   - namespace
@@ -125202,8 +132667,8 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: scale_factors
-    type: c10::optional<at::ArrayRef<double>>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, c10::optional<at::ArrayRef<double>>)
+    type: ::std::optional<at::ArrayRef<double>>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, ::std::optional<at::ArrayRef<double>>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -125219,7 +132684,7 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: scale_factors
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   method_of:
   - Type
   - namespace
@@ -125257,8 +132722,8 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: scale_factors
-    type: c10::optional<at::ArrayRef<double>>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, c10::optional<at::ArrayRef<double>>)
+    type: ::std::optional<at::ArrayRef<double>>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, ::std::optional<at::ArrayRef<double>>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -125274,7 +132739,7 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: scale_factors
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   method_of:
   - Type
   - namespace
@@ -125312,8 +132777,8 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: scale_factors
-    type: c10::optional<at::ArrayRef<double>>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, c10::optional<at::ArrayRef<double>>)
+    type: ::std::optional<at::ArrayRef<double>>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, ::std::optional<at::ArrayRef<double>>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -125329,7 +132794,7 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: scale_factors
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   method_of:
   - Type
   - namespace
@@ -125367,8 +132832,8 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: scale_factors
-    type: c10::optional<at::ArrayRef<double>>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, c10::optional<at::ArrayRef<double>>)
+    type: ::std::optional<at::ArrayRef<double>>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, ::std::optional<at::ArrayRef<double>>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -125384,7 +132849,7 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: scale_factors
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   method_of:
   - Type
   - namespace
@@ -125432,12 +132897,12 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, bool, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, bool, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -125456,11 +132921,11 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -125508,12 +132973,12 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, bool, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, bool, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -125532,11 +132997,11 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -125590,12 +133055,12 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, bool, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, bool, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -125620,11 +133085,11 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -125678,12 +133143,12 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, bool, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, bool, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -125708,11 +133173,11 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -125760,18 +133225,18 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, bool, c10::optional<double>, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, bool, ::std::optional<double>, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -125790,17 +133255,17 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -125848,18 +133313,18 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, bool, c10::optional<double>, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, bool, ::std::optional<double>, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -125878,17 +133343,17 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -125942,18 +133407,18 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, bool, c10::optional<double>, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, bool, ::std::optional<double>, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -125978,17 +133443,17 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -126042,18 +133507,18 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, bool, c10::optional<double>, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, bool, ::std::optional<double>, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -126078,17 +133543,17 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -126136,18 +133601,18 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, bool, c10::optional<double>, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, bool, ::std::optional<double>, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -126166,17 +133631,17 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -126224,18 +133689,18 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, bool, c10::optional<double>, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, bool, ::std::optional<double>, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -126254,17 +133719,17 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -126318,18 +133783,18 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, bool, c10::optional<double>, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, bool, ::std::optional<double>, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -126354,17 +133819,17 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -126418,18 +133883,18 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, bool, c10::optional<double>, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, bool, ::std::optional<double>, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -126454,17 +133919,17 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -126512,18 +133977,18 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, bool, c10::optional<double>, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, bool, ::std::optional<double>, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -126542,17 +134007,17 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -126600,18 +134065,18 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, bool, c10::optional<double>, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, bool, ::std::optional<double>, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -126630,17 +134095,17 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -126694,18 +134159,18 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, bool, c10::optional<double>, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, bool, ::std::optional<double>, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -126730,17 +134195,17 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -126794,18 +134259,18 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, bool, c10::optional<double>, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, bool, ::std::optional<double>, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -126830,17 +134295,17 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -126888,18 +134353,18 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, bool, c10::optional<double>, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, bool, ::std::optional<double>, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -126918,17 +134383,17 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -126976,18 +134441,18 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, bool, c10::optional<double>, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, bool, ::std::optional<double>, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -127006,17 +134471,17 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -127070,18 +134535,18 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, bool, c10::optional<double>, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, bool, ::std::optional<double>, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -127106,17 +134571,17 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -127170,18 +134635,18 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, bool, c10::optional<double>, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, bool, ::std::optional<double>, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -127206,17 +134671,17 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -127264,24 +134729,24 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_d
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, bool, c10::optional<double>, c10::optional<double>, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, bool, ::std::optional<double>, ::std::optional<double>, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -127300,23 +134765,23 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_d
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -127364,24 +134829,24 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_d
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, bool, c10::optional<double>, c10::optional<double>, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, bool, ::std::optional<double>, ::std::optional<double>, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -127400,23 +134865,23 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_d
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -127470,24 +134935,24 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_d
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, bool, c10::optional<double>, c10::optional<double>, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, bool, ::std::optional<double>, ::std::optional<double>, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -127512,23 +134977,23 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_d
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -127582,24 +135047,24 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_d
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, bool, c10::optional<double>, c10::optional<double>, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, bool, ::std::optional<double>, ::std::optional<double>, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -127624,23 +135089,23 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_d
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -127683,12 +135148,12 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -127702,11 +135167,11 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -127756,12 +135221,12 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -127775,11 +135240,11 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -127822,12 +135287,12 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -127841,11 +135306,11 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -127881,12 +135346,12 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -127900,11 +135365,11 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -127953,12 +135418,12 @@
     size: 3
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -127978,11 +135443,11 @@
     size: 3
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -128038,12 +135503,12 @@
     size: 3
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -128063,11 +135528,11 @@
     size: 3
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -128116,12 +135581,12 @@
     size: 3
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -128141,11 +135606,11 @@
     size: 3
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -128187,12 +135652,12 @@
     size: 3
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -128212,11 +135677,11 @@
     size: 3
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -128259,18 +135724,18 @@
     size: 2
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, c10::optional<double>, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, ::std::optional<double>, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -128284,17 +135749,17 @@
     size: 2
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -128344,18 +135809,18 @@
     size: 2
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, c10::optional<double>, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, ::std::optional<double>, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -128369,17 +135834,17 @@
     size: 2
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -128422,18 +135887,18 @@
     size: 2
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, c10::optional<double>, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, ::std::optional<double>, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -128447,17 +135912,17 @@
     size: 2
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -128493,18 +135958,18 @@
     size: 2
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, c10::optional<double>, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, ::std::optional<double>, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -128518,17 +135983,17 @@
     size: 2
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -128577,18 +136042,18 @@
     size: 4
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, c10::optional<double>, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, ::std::optional<double>, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -128608,17 +136073,17 @@
     size: 4
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -128674,18 +136139,18 @@
     size: 4
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, c10::optional<double>, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, ::std::optional<double>, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -128705,17 +136170,17 @@
     size: 4
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -128764,18 +136229,18 @@
     size: 4
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, c10::optional<double>, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, ::std::optional<double>, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -128795,17 +136260,17 @@
     size: 4
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -128847,18 +136312,18 @@
     size: 4
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, c10::optional<double>, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, ::std::optional<double>, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -128878,17 +136343,17 @@
     size: 4
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -128931,24 +136396,24 @@
     size: 3
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_d
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, c10::optional<double>, c10::optional<double>, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, ::std::optional<double>, ::std::optional<double>, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -128962,23 +136427,23 @@
     size: 3
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_d
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -129028,24 +136493,24 @@
     size: 3
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_d
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, c10::optional<double>, c10::optional<double>, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, ::std::optional<double>, ::std::optional<double>, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -129059,23 +136524,23 @@
     size: 3
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_d
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -129118,24 +136583,24 @@
     size: 3
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_d
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, c10::optional<double>, c10::optional<double>, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, ::std::optional<double>, ::std::optional<double>, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -129149,23 +136614,23 @@
     size: 3
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_d
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -129201,24 +136666,24 @@
     size: 3
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_d
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, c10::optional<double>, c10::optional<double>, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, ::std::optional<double>, ::std::optional<double>, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -129232,23 +136697,23 @@
     size: 3
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_d
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -129297,24 +136762,24 @@
     size: 5
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_d
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, c10::optional<double>, c10::optional<double>, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, ::std::optional<double>, ::std::optional<double>, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -129334,23 +136799,23 @@
     size: 5
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_d
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -129406,24 +136871,24 @@
     size: 5
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_d
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, c10::optional<double>, c10::optional<double>, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, ::std::optional<double>, ::std::optional<double>, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -129443,23 +136908,23 @@
     size: 5
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_d
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -129508,24 +136973,24 @@
     size: 5
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_d
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, c10::optional<double>, c10::optional<double>, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, ::std::optional<double>, ::std::optional<double>, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -129545,23 +137010,23 @@
     size: 5
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_d
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -129603,24 +137068,24 @@
     size: 5
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_d
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, c10::optional<double>, c10::optional<double>, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, ::std::optional<double>, ::std::optional<double>, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -129640,23 +137105,23 @@
     size: 5
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_d
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -129802,12 +137267,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: eps
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -129820,11 +137285,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: eps
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -129866,12 +137331,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: eps
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -129884,11 +137349,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: eps
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -130014,7 +137479,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::slow_conv_transpose2d.out(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias=None, int[2] stride=1, SymInt[2] padding=0, SymInt[2] output_padding=0, int[2] dilation=1, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::slow_conv_transpose2d.out(Tensor self, Tensor weight, SymInt[2] kernel_size, Tensor? bias=None, SymInt[2] stride=1, SymInt[2] padding=0, SymInt[2] output_padding=0, SymInt[2] dilation=1, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -130044,7 +137509,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -130073,7 +137538,7 @@
     name: dilation
     size: 2
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -130096,7 +137561,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -130153,7 +137618,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::slow_conv_transpose2d(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias=None, int[2] stride=1, SymInt[2] padding=0, SymInt[2] output_padding=0, int[2] dilation=1) -> Tensor
+  schema_string: aten::slow_conv_transpose2d(Tensor self, Tensor weight, SymInt[2] kernel_size, Tensor? bias=None, SymInt[2] stride=1, SymInt[2] padding=0, SymInt[2] output_padding=0, SymInt[2] dilation=1) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -130176,7 +137641,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -130205,7 +137670,7 @@
     name: dilation
     size: 2
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -130228,7 +137693,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -130278,7 +137743,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::slow_conv_transpose3d.out(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias=None, int[3] stride=1, SymInt[3] padding=0, SymInt[3] output_padding=0, int[3] dilation=1, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::slow_conv_transpose3d.out(Tensor self, Tensor weight, SymInt[3] kernel_size, Tensor? bias=None, SymInt[3] stride=1, SymInt[3] padding=0, SymInt[3] output_padding=0, SymInt[3] dilation=1, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -130308,7 +137773,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -130337,7 +137802,7 @@
     name: dilation
     size: 3
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -130360,7 +137825,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -130417,7 +137882,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::slow_conv_transpose3d(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias=None, int[3] stride=1, SymInt[3] padding=0, SymInt[3] output_padding=0, int[3] dilation=1) -> Tensor
+  schema_string: aten::slow_conv_transpose3d(Tensor self, Tensor weight, SymInt[3] kernel_size, Tensor? bias=None, SymInt[3] stride=1, SymInt[3] padding=0, SymInt[3] output_padding=0, SymInt[3] dilation=1) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -130440,7 +137905,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -130469,7 +137934,7 @@
     name: dilation
     size: 3
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -130492,7 +137957,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -130542,7 +138007,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::thnn_conv2d.out(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias=None, int[2] stride=1, int[2] padding=0, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::thnn_conv2d.out(Tensor self, Tensor weight, SymInt[2] kernel_size, Tensor? bias=None, SymInt[2] stride=1, SymInt[2] padding=0, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -130572,7 +138037,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -130587,7 +138052,7 @@
     name: padding
     size: 2
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -130610,7 +138075,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -130653,7 +138118,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::thnn_conv2d(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias=None, int[2] stride=1, int[2] padding=0) -> Tensor
+  schema_string: aten::thnn_conv2d(Tensor self, Tensor weight, SymInt[2] kernel_size, Tensor? bias=None, SymInt[2] stride=1, SymInt[2] padding=0) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -130676,7 +138141,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -130691,7 +138156,7 @@
     name: padding
     size: 2
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -130714,7 +138179,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -130750,7 +138215,7 @@
   overload_name: output
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_slow_conv2d_forward.output(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias, int[2] stride, int[2] padding, *, Tensor(a!) output) -> Tensor(a!)
+  schema_string: aten::_slow_conv2d_forward.output(Tensor self, Tensor weight, SymInt[2] kernel_size, Tensor? bias, SymInt[2] stride, SymInt[2] padding, *, Tensor(a!) output) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -130779,7 +138244,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -130792,7 +138257,7 @@
     name: padding
     size: 2
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -130814,7 +138279,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -130855,7 +138320,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_slow_conv2d_forward(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias, int[2] stride, int[2] padding) -> Tensor
+  schema_string: aten::_slow_conv2d_forward(Tensor self, Tensor weight, SymInt[2] kernel_size, Tensor? bias, SymInt[2] stride, SymInt[2] padding) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -130877,7 +138342,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -130890,7 +138355,7 @@
     name: padding
     size: 2
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -130912,7 +138377,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -130946,7 +138411,7 @@
   overload_name: grad_input
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_slow_conv2d_backward.grad_input(Tensor grad_output, Tensor self, Tensor weight, int[2] kernel_size, int[2] stride, int[2] padding, *, Tensor(a!) grad_input, Tensor(b!) grad_weight, Tensor(c!) grad_bias) -> (Tensor(a!), Tensor(b!), Tensor(c!))
+  schema_string: aten::_slow_conv2d_backward.grad_input(Tensor grad_output, Tensor self, Tensor weight, SymInt[2] kernel_size, SymInt[2] stride, SymInt[2] padding, *, Tensor(a!) grad_input, Tensor(b!) grad_weight, Tensor(c!) grad_bias) -> (Tensor(a!), Tensor(b!), Tensor(c!))
   arguments:
   - allocate: true
     annotation: a!
@@ -131085,7 +138550,7 @@
   overload_name: output_mask
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_slow_conv2d_backward.output_mask(Tensor grad_output, Tensor self, Tensor weight, int[2] kernel_size, int[2] stride, int[2] padding, bool[3] output_mask) -> (Tensor grad_input, Tensor grad_weight, Tensor grad_bias)
+  schema_string: aten::_slow_conv2d_backward.output_mask(Tensor grad_output, Tensor self, Tensor weight, SymInt[2] kernel_size, SymInt[2] stride, SymInt[2] padding, bool[3] output_mask) -> (Tensor grad_input, Tensor grad_weight, Tensor grad_bias)
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -131195,7 +138660,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_conv_depthwise2d.out(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias, int[2] stride, SymInt[2] padding, int[2] dilation, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::_conv_depthwise2d.out(Tensor self, Tensor weight, SymInt[2] kernel_size, Tensor? bias, SymInt[2] stride, SymInt[2] padding, SymInt[2] dilation, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -131224,7 +138689,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -131243,7 +138708,7 @@
     name: dilation
     size: 2
     type: at::IntArrayRef
-  schema_order_cpp_signature: const at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, const at::Tensor &)
+  schema_order_cpp_signature: const at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, const at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -131265,7 +138730,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -131312,7 +138777,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_conv_depthwise2d(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias, int[2] stride, SymInt[2] padding, int[2] dilation) -> Tensor
+  schema_string: aten::_conv_depthwise2d(Tensor self, Tensor weight, SymInt[2] kernel_size, Tensor? bias, SymInt[2] stride, SymInt[2] padding, SymInt[2] dilation) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -131334,7 +138799,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -131353,7 +138818,7 @@
     name: dilation
     size: 2
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -131375,7 +138840,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -131415,7 +138880,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::conv_depthwise3d(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias, int[3] stride, SymInt[3] padding, int[3] dilation) -> Tensor
+  schema_string: aten::conv_depthwise3d(Tensor self, Tensor weight, SymInt[3] kernel_size, Tensor? bias, SymInt[3] stride, SymInt[3] padding, SymInt[3] dilation) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -131437,7 +138902,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -131456,7 +138921,7 @@
     name: dilation
     size: 3
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -131478,7 +138943,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -131518,7 +138983,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::slow_conv3d.out(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias=None, int[3] stride=1, SymInt[3] padding=0, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::slow_conv3d.out(Tensor self, Tensor weight, SymInt[3] kernel_size, Tensor? bias=None, SymInt[3] stride=1, SymInt[3] padding=0, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -131548,7 +139013,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -131563,7 +139028,7 @@
     name: padding
     size: 3
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -131586,7 +139051,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -131629,7 +139094,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::slow_conv3d(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias=None, int[3] stride=1, SymInt[3] padding=0) -> Tensor
+  schema_string: aten::slow_conv3d(Tensor self, Tensor weight, SymInt[3] kernel_size, Tensor? bias=None, SymInt[3] stride=1, SymInt[3] padding=0) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -131652,7 +139117,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -131667,7 +139132,7 @@
     name: padding
     size: 3
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -131690,7 +139155,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -131726,7 +139191,7 @@
   overload_name: output
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::slow_conv3d_forward.output(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias, int[3] stride, SymInt[3] padding, *, Tensor(a!) output) -> Tensor(a!)
+  schema_string: aten::slow_conv3d_forward.output(Tensor self, Tensor weight, SymInt[3] kernel_size, Tensor? bias, SymInt[3] stride, SymInt[3] padding, *, Tensor(a!) output) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -131755,7 +139220,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -131768,7 +139233,7 @@
     name: padding
     size: 3
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -131790,7 +139255,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -131831,7 +139296,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::slow_conv3d_forward(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias, int[3] stride, SymInt[3] padding) -> Tensor
+  schema_string: aten::slow_conv3d_forward(Tensor self, Tensor weight, SymInt[3] kernel_size, Tensor? bias, SymInt[3] stride, SymInt[3] padding) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -131853,7 +139318,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -131866,7 +139331,7 @@
     name: padding
     size: 3
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -131888,7 +139353,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -131922,7 +139387,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::slow_conv_dilated2d(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias=None, int[2] stride=1, SymInt[2] padding=0, int[2] dilation=1) -> Tensor
+  schema_string: aten::slow_conv_dilated2d(Tensor self, Tensor weight, SymInt[2] kernel_size, Tensor? bias=None, SymInt[2] stride=1, SymInt[2] padding=0, SymInt[2] dilation=1) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -131945,7 +139410,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -131967,7 +139432,7 @@
     name: dilation
     size: 2
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -131990,7 +139455,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -132033,7 +139498,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::slow_conv_dilated3d(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias=None, int[3] stride=1, SymInt[3] padding=0, int[3] dilation=1) -> Tensor
+  schema_string: aten::slow_conv_dilated3d(Tensor self, Tensor weight, SymInt[3] kernel_size, Tensor? bias=None, SymInt[3] stride=1, SymInt[3] padding=0, SymInt[3] dilation=1) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -132056,7 +139521,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -132078,7 +139543,7 @@
     name: dilation
     size: 3
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -132101,7 +139566,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -135388,12 +142853,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: eps
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -135401,11 +142866,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: eps
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -135442,12 +142907,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: eps
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -135455,11 +142920,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: eps
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -136101,13 +143566,13 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -136120,12 +143585,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - namespace
@@ -136472,12 +143937,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -136490,11 +143955,11 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - namespace
@@ -136516,7 +143981,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_fft(Tensor self, int? n=None, int dim=-1, str? norm=None) -> Tensor
+  schema_string: aten::fft_fft(Tensor self, SymInt? n=None, int dim=-1, str? norm=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -136524,11 +143989,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: n
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -136536,12 +144001,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<int64_t>, int64_t, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<int64_t>, int64_t, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -136549,11 +144014,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: n
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -136561,11 +144026,11 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - namespace
@@ -136587,7 +144052,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_fft.out(Tensor self, int? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::fft_fft.out(Tensor self, SymInt? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -136602,11 +144067,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: n
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -136614,12 +144079,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<int64_t>, int64_t, c10::optional<c10::string_view>, at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<int64_t>, int64_t, ::std::optional<c10::string_view>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -136627,11 +144092,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: n
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -136639,11 +144104,11 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -136672,7 +144137,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_ifft(Tensor self, int? n=None, int dim=-1, str? norm=None) -> Tensor
+  schema_string: aten::fft_ifft(Tensor self, SymInt? n=None, int dim=-1, str? norm=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -136680,11 +144145,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: n
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -136692,12 +144157,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<int64_t>, int64_t, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<int64_t>, int64_t, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -136705,11 +144170,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: n
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -136717,11 +144182,11 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - namespace
@@ -136743,7 +144208,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_ifft.out(Tensor self, int? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::fft_ifft.out(Tensor self, SymInt? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -136758,11 +144223,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: n
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -136770,12 +144235,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<int64_t>, int64_t, c10::optional<c10::string_view>, at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<int64_t>, int64_t, ::std::optional<c10::string_view>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -136783,11 +144248,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: n
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -136795,11 +144260,11 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -136828,7 +144293,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_rfft(Tensor self, int? n=None, int dim=-1, str? norm=None) -> Tensor
+  schema_string: aten::fft_rfft(Tensor self, SymInt? n=None, int dim=-1, str? norm=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -136836,11 +144301,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: n
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -136848,12 +144313,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<int64_t>, int64_t, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<int64_t>, int64_t, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -136861,11 +144326,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: n
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -136873,11 +144338,11 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - namespace
@@ -136899,7 +144364,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_rfft.out(Tensor self, int? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::fft_rfft.out(Tensor self, SymInt? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -136914,11 +144379,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: n
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -136926,12 +144391,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<int64_t>, int64_t, c10::optional<c10::string_view>, at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<int64_t>, int64_t, ::std::optional<c10::string_view>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -136939,11 +144404,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: n
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -136951,11 +144416,11 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -136984,7 +144449,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_irfft(Tensor self, int? n=None, int dim=-1, str? norm=None) -> Tensor
+  schema_string: aten::fft_irfft(Tensor self, SymInt? n=None, int dim=-1, str? norm=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -136992,11 +144457,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: n
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -137004,12 +144469,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<int64_t>, int64_t, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<int64_t>, int64_t, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -137017,11 +144482,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: n
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -137029,11 +144494,11 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - namespace
@@ -137055,7 +144520,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_irfft.out(Tensor self, int? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::fft_irfft.out(Tensor self, SymInt? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -137070,11 +144535,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: n
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -137082,12 +144547,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<int64_t>, int64_t, c10::optional<c10::string_view>, at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<int64_t>, int64_t, ::std::optional<c10::string_view>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -137095,11 +144560,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: n
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -137107,11 +144572,11 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -137140,7 +144605,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_hfft(Tensor self, int? n=None, int dim=-1, str? norm=None) -> Tensor
+  schema_string: aten::fft_hfft(Tensor self, SymInt? n=None, int dim=-1, str? norm=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -137148,11 +144613,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: n
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -137160,12 +144625,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<int64_t>, int64_t, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<int64_t>, int64_t, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -137173,11 +144638,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: n
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -137185,11 +144650,11 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - namespace
@@ -137211,7 +144676,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_hfft.out(Tensor self, int? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::fft_hfft.out(Tensor self, SymInt? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -137226,11 +144691,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: n
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -137238,12 +144703,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<int64_t>, int64_t, c10::optional<c10::string_view>, at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<int64_t>, int64_t, ::std::optional<c10::string_view>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -137251,11 +144716,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: n
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -137263,11 +144728,11 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -137296,7 +144761,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_ihfft(Tensor self, int? n=None, int dim=-1, str? norm=None) -> Tensor
+  schema_string: aten::fft_ihfft(Tensor self, SymInt? n=None, int dim=-1, str? norm=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -137304,11 +144769,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: n
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -137316,12 +144781,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<int64_t>, int64_t, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<int64_t>, int64_t, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -137329,11 +144794,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: n
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -137341,11 +144806,11 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - namespace
@@ -137367,7 +144832,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_ihfft.out(Tensor self, int? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::fft_ihfft.out(Tensor self, SymInt? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -137382,11 +144847,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: n
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -137394,12 +144859,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<int64_t>, int64_t, c10::optional<c10::string_view>, at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<int64_t>, int64_t, ::std::optional<c10::string_view>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -137407,11 +144872,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: n
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -137419,11 +144884,11 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -137452,7 +144917,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_fft2(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None) -> Tensor
+  schema_string: aten::fft_fft2(Tensor self, SymInt[1]? s=None, int[1] dim=[-2,-1], str? norm=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -137460,7 +144925,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
@@ -137474,12 +144939,12 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, at::IntArrayRef, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, at::IntArrayRef, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -137487,7 +144952,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
@@ -137501,11 +144966,11 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - namespace
@@ -137527,7 +144992,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_fft2.out(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::fft_fft2.out(Tensor self, SymInt[1]? s=None, int[1] dim=[-2,-1], str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -137542,7 +145007,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
@@ -137556,12 +145021,12 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::IntArrayRef, c10::optional<c10::string_view>, at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::IntArrayRef, ::std::optional<c10::string_view>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -137569,7 +145034,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
@@ -137583,11 +145048,11 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -137616,7 +145081,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_ifft2(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None) -> Tensor
+  schema_string: aten::fft_ifft2(Tensor self, SymInt[1]? s=None, int[1] dim=[-2,-1], str? norm=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -137624,7 +145089,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
@@ -137638,12 +145103,12 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, at::IntArrayRef, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, at::IntArrayRef, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -137651,7 +145116,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
@@ -137665,11 +145130,11 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - namespace
@@ -137691,7 +145156,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_ifft2.out(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::fft_ifft2.out(Tensor self, SymInt[1]? s=None, int[1] dim=[-2,-1], str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -137706,7 +145171,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
@@ -137720,12 +145185,12 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::IntArrayRef, c10::optional<c10::string_view>, at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::IntArrayRef, ::std::optional<c10::string_view>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -137733,7 +145198,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
@@ -137747,11 +145212,11 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -137780,7 +145245,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_rfft2(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None) -> Tensor
+  schema_string: aten::fft_rfft2(Tensor self, SymInt[1]? s=None, int[1] dim=[-2,-1], str? norm=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -137788,7 +145253,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
@@ -137802,12 +145267,12 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, at::IntArrayRef, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, at::IntArrayRef, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -137815,7 +145280,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
@@ -137829,11 +145294,11 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - namespace
@@ -137855,7 +145320,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_rfft2.out(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::fft_rfft2.out(Tensor self, SymInt[1]? s=None, int[1] dim=[-2,-1], str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -137870,7 +145335,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
@@ -137884,12 +145349,12 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::IntArrayRef, c10::optional<c10::string_view>, at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::IntArrayRef, ::std::optional<c10::string_view>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -137897,7 +145362,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
@@ -137911,11 +145376,11 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -137944,7 +145409,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_irfft2(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None) -> Tensor
+  schema_string: aten::fft_irfft2(Tensor self, SymInt[1]? s=None, int[1] dim=[-2,-1], str? norm=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -137952,7 +145417,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
@@ -137966,12 +145431,12 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, at::IntArrayRef, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, at::IntArrayRef, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -137979,7 +145444,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
@@ -137993,11 +145458,11 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - namespace
@@ -138019,7 +145484,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_irfft2.out(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::fft_irfft2.out(Tensor self, SymInt[1]? s=None, int[1] dim=[-2,-1], str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -138034,7 +145499,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
@@ -138048,12 +145513,12 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::IntArrayRef, c10::optional<c10::string_view>, at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::IntArrayRef, ::std::optional<c10::string_view>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -138061,7 +145526,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
@@ -138075,11 +145540,11 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -138108,7 +145573,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_hfft2(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None) -> Tensor
+  schema_string: aten::fft_hfft2(Tensor self, SymInt[1]? s=None, int[1] dim=[-2,-1], str? norm=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -138116,7 +145581,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
@@ -138130,12 +145595,12 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, at::IntArrayRef, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, at::IntArrayRef, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -138143,7 +145608,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
@@ -138157,11 +145622,11 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - namespace
@@ -138183,7 +145648,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_hfft2.out(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::fft_hfft2.out(Tensor self, SymInt[1]? s=None, int[1] dim=[-2,-1], str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -138198,7 +145663,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
@@ -138212,12 +145677,12 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: const at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::IntArrayRef, c10::optional<c10::string_view>, const at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: const at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::IntArrayRef, ::std::optional<c10::string_view>, const at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -138225,7 +145690,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
@@ -138239,11 +145704,11 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -138272,7 +145737,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_ihfft2(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None) -> Tensor
+  schema_string: aten::fft_ihfft2(Tensor self, SymInt[1]? s=None, int[1] dim=[-2,-1], str? norm=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -138280,7 +145745,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
@@ -138294,12 +145759,12 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, at::IntArrayRef, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, at::IntArrayRef, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -138307,7 +145772,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
@@ -138321,11 +145786,11 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - namespace
@@ -138347,7 +145812,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_ihfft2.out(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::fft_ihfft2.out(Tensor self, SymInt[1]? s=None, int[1] dim=[-2,-1], str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -138362,7 +145827,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
@@ -138376,12 +145841,12 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: const at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::IntArrayRef, c10::optional<c10::string_view>, const at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: const at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::IntArrayRef, ::std::optional<c10::string_view>, const at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -138389,7 +145854,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
@@ -138403,11 +145868,11 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -138436,7 +145901,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_fftn(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None) -> Tensor
+  schema_string: aten::fft_fftn(Tensor self, SymInt[1]? s=None, int[1]? dim=None, str? norm=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -138444,26 +145909,26 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -138471,25 +145936,25 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - namespace
@@ -138511,7 +145976,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_fftn.out(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::fft_fftn.out(Tensor self, SymInt[1]? s=None, int[1]? dim=None, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -138526,26 +145991,26 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, c10::optional<c10::string_view>, at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, ::std::optional<c10::string_view>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -138553,25 +146018,25 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -138600,7 +146065,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_ifftn(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None) -> Tensor
+  schema_string: aten::fft_ifftn(Tensor self, SymInt[1]? s=None, int[1]? dim=None, str? norm=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -138608,26 +146073,26 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -138635,25 +146100,25 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - namespace
@@ -138675,7 +146140,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_ifftn.out(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::fft_ifftn.out(Tensor self, SymInt[1]? s=None, int[1]? dim=None, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -138690,26 +146155,26 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, c10::optional<c10::string_view>, at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, ::std::optional<c10::string_view>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -138717,25 +146182,25 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -138764,7 +146229,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_rfftn(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None) -> Tensor
+  schema_string: aten::fft_rfftn(Tensor self, SymInt[1]? s=None, int[1]? dim=None, str? norm=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -138772,26 +146237,26 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -138799,25 +146264,25 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - namespace
@@ -138839,7 +146304,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_rfftn.out(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::fft_rfftn.out(Tensor self, SymInt[1]? s=None, int[1]? dim=None, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -138854,26 +146319,26 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, c10::optional<c10::string_view>, at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, ::std::optional<c10::string_view>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -138881,25 +146346,25 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -138928,7 +146393,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_irfftn(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None) -> Tensor
+  schema_string: aten::fft_irfftn(Tensor self, SymInt[1]? s=None, int[1]? dim=None, str? norm=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -138936,26 +146401,26 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -138963,25 +146428,25 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - namespace
@@ -139003,7 +146468,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_irfftn.out(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::fft_irfftn.out(Tensor self, SymInt[1]? s=None, int[1]? dim=None, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -139018,26 +146483,26 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, c10::optional<c10::string_view>, at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, ::std::optional<c10::string_view>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -139045,25 +146510,25 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -139092,7 +146557,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_hfftn(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None) -> Tensor
+  schema_string: aten::fft_hfftn(Tensor self, SymInt[1]? s=None, int[1]? dim=None, str? norm=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -139100,26 +146565,26 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -139127,25 +146592,25 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - namespace
@@ -139167,7 +146632,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_hfftn.out(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::fft_hfftn.out(Tensor self, SymInt[1]? s=None, int[1]? dim=None, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -139182,26 +146647,26 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: const at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, c10::optional<c10::string_view>, const at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: const at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, ::std::optional<c10::string_view>, const at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -139209,25 +146674,25 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -139256,7 +146721,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_ihfftn(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None) -> Tensor
+  schema_string: aten::fft_ihfftn(Tensor self, SymInt[1]? s=None, int[1]? dim=None, str? norm=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -139264,26 +146729,26 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -139291,25 +146756,25 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - namespace
@@ -139331,7 +146796,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_ihfftn.out(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::fft_ihfftn.out(Tensor self, SymInt[1]? s=None, int[1]? dim=None, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -139346,26 +146811,26 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: const at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, c10::optional<c10::string_view>, const at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: const at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, ::std::optional<c10::string_view>, const at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -139373,25 +146838,25 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -139440,7 +146905,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, double, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, double, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -139454,33 +146919,33 @@
     name: d
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -139583,7 +147048,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, double, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, double, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -139597,33 +147062,33 @@
     name: d
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -139714,7 +147179,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
@@ -139728,7 +147193,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
@@ -139763,7 +147228,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
@@ -139777,7 +147242,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
@@ -140260,7 +147725,7 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
@@ -140346,7 +147811,7 @@
     type: at::Tensor &
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
@@ -141645,19 +149110,19 @@
     name: b
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: rcond
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     kwarg_only: true
     name: driver
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, c10::optional<double>, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, ::std::optional<double>, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -141670,18 +149135,18 @@
     name: b
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: rcond
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     kwarg_only: true
     name: driver
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - namespace
@@ -141761,19 +149226,19 @@
     name: b
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: rcond
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     kwarg_only: true
     name: driver
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, c10::optional<double>, c10::optional<c10::string_view>, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, ::std::optional<double>, ::std::optional<c10::string_view>, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -141786,18 +149251,18 @@
     name: b
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: rcond
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     kwarg_only: true
     name: driver
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -142663,6 +150128,41 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: _linalg_eigvals
+  operator_name: _linalg_eigvals
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_linalg_eigvals(Tensor self) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: linalg
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: linalg_eigvals
   operator_name: linalg_eigvals
   overload_name: ''
@@ -142742,11 +150242,11 @@
     type: at::Tensor &
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: _linalg_eigh
   operator_name: _linalg_eigh
   overload_name: ''
@@ -143892,13 +151392,13 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: ord
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
@@ -143911,13 +151411,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::optional<at::Scalar> &, at::OptionalIntArrayRef, bool, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const ::std::optional<at::Scalar> &, at::OptionalIntArrayRef, bool, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -143925,13 +151425,13 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: ord
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
@@ -143944,12 +151444,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - namespace
@@ -143984,7 +151484,7 @@
     name: ord
     type: c10::string_view
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
@@ -143997,13 +151497,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::string_view, at::OptionalIntArrayRef, bool, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::string_view, at::OptionalIntArrayRef, bool, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -144016,7 +151516,7 @@
     name: ord
     type: c10::string_view
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
@@ -144029,12 +151529,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - namespace
@@ -144071,13 +151571,13 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: ord
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
@@ -144090,13 +151590,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const c10::optional<at::Scalar> &, at::OptionalIntArrayRef, bool, c10::optional<at::ScalarType>, at::Tensor &)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const ::std::optional<at::Scalar> &, at::OptionalIntArrayRef, bool, ::std::optional<at::ScalarType>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -144104,13 +151604,13 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: ord
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
@@ -144123,12 +151623,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -144177,7 +151677,7 @@
     name: ord
     type: c10::string_view
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
@@ -144190,13 +151690,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::string_view, at::OptionalIntArrayRef, bool, c10::optional<at::ScalarType>, at::Tensor &)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::string_view, at::OptionalIntArrayRef, bool, ::std::optional<at::ScalarType>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -144209,7 +151709,7 @@
     name: ord
     type: c10::string_view
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
@@ -144222,12 +151722,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -144270,7 +151770,7 @@
     name: ord
     type: const at::Scalar &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
@@ -144283,13 +151783,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Scalar &, at::OptionalIntArrayRef, bool, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Scalar &, at::OptionalIntArrayRef, bool, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -144303,7 +151803,7 @@
     name: ord
     type: const at::Scalar &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
@@ -144316,12 +151816,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - namespace
@@ -144364,7 +151864,7 @@
     name: ord
     type: const at::Scalar &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
@@ -144377,13 +151877,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Scalar &, at::OptionalIntArrayRef, bool, c10::optional<at::ScalarType>, at::Tensor &)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Scalar &, at::OptionalIntArrayRef, bool, ::std::optional<at::ScalarType>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -144397,7 +151897,7 @@
     name: ord
     type: const at::Scalar &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
@@ -144410,12 +151910,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -144469,13 +151969,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Scalar &, at::IntArrayRef, bool, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Scalar &, at::IntArrayRef, bool, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -144500,12 +152000,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - namespace
@@ -144559,13 +152059,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Scalar &, at::IntArrayRef, bool, c10::optional<at::ScalarType>, at::Tensor &)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Scalar &, at::IntArrayRef, bool, ::std::optional<at::ScalarType>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -144590,12 +152090,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -144650,13 +152150,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::string_view, at::IntArrayRef, bool, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::string_view, at::IntArrayRef, bool, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -144682,12 +152182,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - namespace
@@ -144742,13 +152242,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::string_view, at::IntArrayRef, bool, c10::optional<at::ScalarType>, at::Tensor &)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::string_view, at::IntArrayRef, bool, ::std::optional<at::ScalarType>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -144774,12 +152274,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -144828,13 +152328,13 @@
     name: compute_uv
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     kwarg_only: true
     name: driver
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, bool, bool, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, bool, bool, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -144854,12 +152354,12 @@
     name: compute_uv
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     kwarg_only: true
     name: driver
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - namespace
@@ -144934,13 +152434,13 @@
     name: compute_uv
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     kwarg_only: true
     name: driver
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, bool, bool, c10::optional<c10::string_view>, at::Tensor &, at::Tensor &, at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, bool, bool, ::std::optional<c10::string_view>, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -144960,12 +152460,12 @@
     name: compute_uv
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     kwarg_only: true
     name: driver
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -145034,13 +152534,13 @@
     name: full_matrices
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     kwarg_only: true
     name: driver
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, bool, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, bool, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -145054,12 +152554,12 @@
     name: full_matrices
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     kwarg_only: true
     name: driver
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - namespace
@@ -145128,13 +152628,13 @@
     name: full_matrices
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     kwarg_only: true
     name: driver
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, bool, c10::optional<c10::string_view>, at::Tensor &, at::Tensor &, at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, bool, ::std::optional<c10::string_view>, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -145148,12 +152648,12 @@
     name: full_matrices
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     kwarg_only: true
     name: driver
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -145216,13 +152716,13 @@
     name: A
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     kwarg_only: true
     name: driver
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -145230,12 +152730,12 @@
     name: A
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     kwarg_only: true
     name: driver
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - namespace
@@ -145272,13 +152772,13 @@
     name: A
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     kwarg_only: true
     name: driver
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<c10::string_view>, at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<c10::string_view>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -145286,12 +152786,12 @@
     name: A
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     kwarg_only: true
     name: driver
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -145328,12 +152828,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::optional<at::Scalar> &)
+    type: const ::std::optional<at::Scalar> &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const ::std::optional<at::Scalar> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -145341,11 +152841,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   method_of:
   - Type
   - namespace
@@ -145382,12 +152882,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const c10::optional<at::Scalar> &, at::Tensor &)
+    type: const ::std::optional<at::Scalar> &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const ::std::optional<at::Scalar> &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -145395,11 +152895,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -145545,14 +153045,14 @@
     is_nullable: true
     kwarg_only: true
     name: atol
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: rtol
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -145560,7 +153060,7 @@
     kwarg_only: true
     name: hermitian
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -145573,14 +153073,14 @@
     is_nullable: true
     kwarg_only: true
     name: atol
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: rtol
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -145629,14 +153129,14 @@
     is_nullable: true
     kwarg_only: true
     name: atol
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: rtol
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -145644,7 +153144,7 @@
     kwarg_only: true
     name: hermitian
     type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, bool, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -145657,14 +153157,14 @@
     is_nullable: true
     kwarg_only: true
     name: atol
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: rtol
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -145708,19 +153208,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     kwarg_only: true
     name: atol
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     kwarg_only: true
     name: rtol
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -145728,7 +153228,7 @@
     kwarg_only: true
     name: hermitian
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<double>, c10::optional<double>, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<double>, ::std::optional<double>, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -145736,19 +153236,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     kwarg_only: true
     name: atol
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     kwarg_only: true
     name: rtol
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -145792,19 +153292,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     kwarg_only: true
     name: atol
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     kwarg_only: true
     name: rtol
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -145812,7 +153312,7 @@
     kwarg_only: true
     name: hermitian
     type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<double>, c10::optional<double>, bool, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<double>, ::std::optional<double>, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -145820,19 +153320,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     kwarg_only: true
     name: atol
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     kwarg_only: true
     name: rtol
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -146602,6 +154102,65 @@
   with_gil: false
   deprecated: false
   has_math_kernel: true
+- name: _spsolve
+  operator_name: _spsolve
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_spsolve(Tensor A, Tensor B, *, bool left=True) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: A
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: B
+    type: const at::Tensor &
+  - annotation: null
+    default: true
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: left
+    type: bool
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, bool)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: A
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: B
+    type: const at::Tensor &
+  - annotation: null
+    default: true
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: left
+    type: bool
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: sparse
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: linalg_solve_out
   operator_name: linalg_solve
   overload_name: out
@@ -146801,7 +154360,7 @@
     name: other
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dims
@@ -146819,7 +154378,7 @@
     name: other
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dims
@@ -146865,7 +154424,7 @@
     name: other
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dims
@@ -146883,7 +154442,7 @@
     name: other
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dims
@@ -147169,14 +154728,14 @@
     is_nullable: true
     kwarg_only: true
     name: atol
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: rtol
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -147184,7 +154743,7 @@
     kwarg_only: true
     name: hermitian
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -147197,14 +154756,14 @@
     is_nullable: true
     kwarg_only: true
     name: atol
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: rtol
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -147253,14 +154812,14 @@
     is_nullable: true
     kwarg_only: true
     name: atol
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: rtol
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -147268,7 +154827,7 @@
     kwarg_only: true
     name: hermitian
     type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, bool, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -147281,14 +154840,14 @@
     is_nullable: true
     kwarg_only: true
     name: atol
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: rtol
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -147332,19 +154891,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     kwarg_only: true
     name: atol
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     kwarg_only: true
     name: rtol
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -147352,7 +154911,7 @@
     kwarg_only: true
     name: hermitian
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<double>, c10::optional<double>, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<double>, ::std::optional<double>, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -147360,19 +154919,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     kwarg_only: true
     name: atol
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     kwarg_only: true
     name: rtol
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -147416,19 +154975,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     kwarg_only: true
     name: atol
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     kwarg_only: true
     name: rtol
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -147436,7 +154995,7 @@
     kwarg_only: true
     name: hermitian
     type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<double>, c10::optional<double>, bool, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<double>, ::std::optional<double>, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -147444,19 +155003,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     kwarg_only: true
     name: atol
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     kwarg_only: true
     name: rtol
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -147845,7 +155404,7 @@
     name: padding
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: output_size
@@ -147863,7 +155422,7 @@
     name: padding
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: output_size
@@ -147941,6 +155500,63 @@
   with_gil: false
   deprecated: false
   has_math_kernel: true
+- name: _test_parallel_materialize
+  operator_name: _test_parallel_materialize
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_test_parallel_materialize(Tensor self, int num_parallel, bool skip_first=False) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: num_parallel
+    type: int64_t
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: skip_first
+    type: bool
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, bool)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: num_parallel
+    type: int64_t
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: skip_first
+    type: bool
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: _test_optional_intlist
   operator_name: _test_optional_intlist
   overload_name: ''
@@ -148049,8 +155665,8 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: addends
-    type: c10::optional<at::ArrayRef<double>>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::ArrayRef<double>>)
+    type: ::std::optional<at::ArrayRef<double>>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::ArrayRef<double>>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -148061,7 +155677,7 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: addends
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   method_of:
   - Type
   - namespace
@@ -148463,21 +156079,21 @@
     is_nullable: true
     kwarg_only: true
     name: lengths
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: indices
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: offsets
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 0
     dynamic_type: int64_t
@@ -148493,13 +156109,13 @@
     name: unsafe
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: initial
-    type: const c10::optional<at::Scalar> &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::string_view, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, int64_t, bool, const c10::optional<at::Scalar> &)
+    type: const ::std::optional<at::Scalar> &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::string_view, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, int64_t, bool, const ::std::optional<at::Scalar> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -148517,21 +156133,21 @@
     is_nullable: true
     kwarg_only: true
     name: lengths
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: indices
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: offsets
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 0
     dynamic_type: int64_t
@@ -148547,12 +156163,12 @@
     name: unsafe
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: initial
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   method_of:
   - Type
   - namespace
@@ -148602,14 +156218,14 @@
     is_nullable: true
     kwarg_only: true
     name: lengths
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: offsets
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 0
     dynamic_type: int64_t
@@ -148618,13 +156234,13 @@
     name: axis
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: initial
-    type: const c10::optional<at::Scalar> &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, c10::string_view, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, int64_t, const c10::optional<at::Scalar> &)
+    type: const ::std::optional<at::Scalar> &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, c10::string_view, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, int64_t, const ::std::optional<at::Scalar> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -148652,14 +156268,14 @@
     is_nullable: true
     kwarg_only: true
     name: lengths
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: offsets
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 0
     dynamic_type: int64_t
@@ -148668,12 +156284,12 @@
     name: axis
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: initial
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   method_of:
   - Type
   - namespace
@@ -148695,7 +156311,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::pad_sequence(Tensor[] sequences, bool batch_first=False, float padding_value=0.0) -> Tensor
+  schema_string: aten::pad_sequence(Tensor[] sequences, bool batch_first=False, float padding_value=0.0, str padding_side="right") -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -148714,7 +156330,13 @@
     is_nullable: false
     name: padding_value
     type: double
-  schema_order_cpp_signature: at::Tensor (at::TensorList, bool, double)
+  - annotation: null
+    default: '"right"'
+    dynamic_type: c10::string_view
+    is_nullable: false
+    name: padding_side
+    type: c10::string_view
+  schema_order_cpp_signature: at::Tensor (at::TensorList, bool, double, c10::string_view)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -148733,6 +156355,12 @@
     is_nullable: false
     name: padding_value
     type: double
+  - annotation: null
+    default: '"right"'
+    dynamic_type: c10::string_view
+    is_nullable: false
+    name: padding_side
+    type: c10::string_view
   method_of:
   - Type
   - namespace
@@ -148842,30 +156470,30 @@
     name: list
     type: at::TensorList
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     name: pin_memory
-    type: c10::optional<bool>
-  schema_order_cpp_signature: at::Tensor (at::TensorList, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+    type: ::std::optional<bool>
+  schema_order_cpp_signature: at::Tensor (at::TensorList, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -148873,29 +156501,29 @@
     name: list
     type: at::TensorList
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -149175,12 +156803,12 @@
     name: stride
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: storage_offset
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -149198,11 +156826,11 @@
     name: stride
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: storage_offset
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - namespace
@@ -149603,24 +157231,24 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: start
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: end
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: 1
     dynamic_type: int64_t
     is_nullable: false
     name: step
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, c10::optional<int64_t>, c10::optional<int64_t>, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, ::std::optional<int64_t>, ::std::optional<int64_t>, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -149634,17 +157262,17 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: start
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: end
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: 1
     dynamic_type: int64_t
@@ -150770,7 +158398,7 @@
     name: padding
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: output_size
@@ -150788,7 +158416,7 @@
     name: padding
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: output_size
@@ -150809,6 +158437,130 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: _jagged_to_padded_dense_forward
+  operator_name: _jagged_to_padded_dense_forward
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_jagged_to_padded_dense_forward(Tensor values, Tensor[] offsets, SymInt[] max_lengths, float padding_value=0.0) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: values
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: offsets
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: max_lengths
+    type: at::IntArrayRef
+  - annotation: null
+    default: 0.0
+    dynamic_type: double
+    is_nullable: false
+    name: padding_value
+    type: double
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::TensorList, at::IntArrayRef, double)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: values
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: offsets
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: max_lengths
+    type: at::IntArrayRef
+  - annotation: null
+    default: 0.0
+    dynamic_type: double
+    is_nullable: false
+    name: padding_value
+    type: double
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _padded_dense_to_jagged_forward
+  operator_name: _padded_dense_to_jagged_forward
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_padded_dense_to_jagged_forward(Tensor dense, Tensor[] offsets, SymInt? total_L=None) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: dense
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: offsets
+    type: at::TensorList
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    name: total_L
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::TensorList, ::std::optional<int64_t>)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: dense
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: offsets
+    type: at::TensorList
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    name: total_L
+    type: ::std::optional<int64_t>
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: _nested_tensor_softmax_with_shape
   operator_name: _nested_tensor_softmax_with_shape
   overload_name: ''
@@ -150854,6 +158606,63 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: _safe_softmax
+  operator_name: _safe_softmax
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_safe_softmax(Tensor self, int dim, ScalarType? dtype=None) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: dim
+    type: int64_t
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, ::std::optional<at::ScalarType>)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: dim
+    type: int64_t
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: _transformer_encoder_layer_fwd
   operator_name: _transformer_encoder_layer_fwd
   overload_name: ''
@@ -150956,14 +158765,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: mask
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: mask_type
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, int64_t, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, bool, bool, double, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, int64_t, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, bool, bool, double, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -151060,13 +158869,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: mask
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: mask_type
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - namespace
@@ -151140,7 +158949,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: mask
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: true
     dynamic_type: bool
@@ -151154,12 +158963,12 @@
     name: average_attn_weights
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: mask_type
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, int64_t, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, bool, bool, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, int64_t, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, bool, bool, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -151211,7 +159020,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: mask
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: true
     dynamic_type: bool
@@ -151225,11 +159034,11 @@
     name: average_attn_weights
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: mask_type
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - namespace
@@ -151254,7 +159063,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::scaled_dot_product_attention(Tensor query, Tensor key, Tensor value, Tensor? attn_mask=None, float dropout_p=0.0, bool is_causal=False) -> Tensor
+  schema_string: aten::scaled_dot_product_attention(Tensor query, Tensor key, Tensor value, Tensor? attn_mask=None, float dropout_p=0.0, bool is_causal=False, *, float? scale=None, bool enable_gqa=False) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -151276,7 +159085,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: attn_mask
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 0.0
     dynamic_type: double
@@ -151289,7 +159098,21 @@
     is_nullable: false
     name: is_causal
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, double, bool)
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: enable_gqa
+    type: bool
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, double, bool, ::std::optional<double>, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -151311,7 +159134,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: attn_mask
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 0.0
     dynamic_type: double
@@ -151324,6 +159147,20 @@
     is_nullable: false
     name: is_causal
     type: bool
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: enable_gqa
+    type: bool
   method_of:
   - Type
   - namespace
@@ -151340,12 +159177,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: true
-- name: _scaled_dot_product_attention
-  operator_name: _scaled_dot_product_attention
+- name: _fused_sdp_choice
+  operator_name: _fused_sdp_choice
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_scaled_dot_product_attention(Tensor query, Tensor key, Tensor value, Tensor? attn_mask=None, float dropout_p=0.0, bool need_attn_weights=False, bool is_causal=False) -> (Tensor, Tensor)
+  schema_string: aten::_fused_sdp_choice(Tensor query, Tensor key, Tensor value, Tensor? attn_mask=None, float dropout_p=0.0, bool is_causal=False, *, float? scale=None, bool enable_gqa=False) -> int
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -151367,7 +159204,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: attn_mask
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 0.0
     dynamic_type: double
@@ -151378,15 +159215,23 @@
     default: false
     dynamic_type: bool
     is_nullable: false
-    name: need_attn_weights
+    name: is_causal
     type: bool
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
-    name: is_causal
+    kwarg_only: true
+    name: enable_gqa
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, double, bool, bool)
+  schema_order_cpp_signature: int64_t (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, double, bool, ::std::optional<double>, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -151408,7 +159253,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: attn_mask
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 0.0
     dynamic_type: double
@@ -151419,39 +159264,44 @@
     default: false
     dynamic_type: bool
     is_nullable: false
-    name: need_attn_weights
+    name: is_causal
     type: bool
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
-    name: is_causal
+    kwarg_only: true
+    name: enable_gqa
     type: bool
   method_of:
   - Type
   - namespace
   mode: native
-  python_module: nn
+  python_module: ''
   returns:
-  - dynamic_type: at::Tensor
-    name: result0
-    type: at::Tensor
-  - dynamic_type: at::Tensor
-    name: result1
-    type: at::Tensor
+  - dynamic_type: int64_t
+    name: result
+    type: int64_t
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
-- name: _fused_sdp_choice
-  operator_name: _fused_sdp_choice
+  has_math_kernel: false
+- name: _scaled_dot_product_attention_math
+  operator_name: _scaled_dot_product_attention_math
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_fused_sdp_choice(Tensor query, Tensor key, Tensor value, Tensor? attn_mask=None, float dropout_p=0.0, bool is_causal=False) -> int
+  schema_string: aten::_scaled_dot_product_attention_math(Tensor query, Tensor key, Tensor value, Tensor? attn_mask=None, float dropout_p=0.0, bool is_causal=False, Tensor? dropout_mask=None, *, float? scale=None, bool enable_gqa=False) -> (Tensor, Tensor)
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -151473,7 +159323,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: attn_mask
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 0.0
     dynamic_type: double
@@ -151486,7 +159336,27 @@
     is_nullable: false
     name: is_causal
     type: bool
-  schema_order_cpp_signature: int64_t (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, double, bool)
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: dropout_mask
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: enable_gqa
+    type: bool
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, double, bool, const ::std::optional<at::Tensor> &, ::std::optional<double>, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -151508,7 +159378,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: attn_mask
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 0.0
     dynamic_type: double
@@ -151521,28 +159391,51 @@
     is_nullable: false
     name: is_causal
     type: bool
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: dropout_mask
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: enable_gqa
+    type: bool
   method_of:
   - Type
   - namespace
   mode: native
   python_module: ''
   returns:
-  - dynamic_type: int64_t
-    name: result
-    type: int64_t
+  - dynamic_type: at::Tensor
+    name: result0
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    name: result1
+    type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: true
+  abstract: false
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: false
-- name: _scaled_dot_product_attention_math
-  operator_name: _scaled_dot_product_attention_math
+  has_math_kernel: true
+- name: _scaled_dot_product_attention_math_for_mps
+  operator_name: _scaled_dot_product_attention_math_for_mps
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_scaled_dot_product_attention_math(Tensor query, Tensor key, Tensor value, Tensor? attn_mask=None, float dropout_p=0.0, bool is_causal=False, Tensor? dropout_mask=None) -> (Tensor, Tensor)
+  schema_string: aten::_scaled_dot_product_attention_math_for_mps(Tensor query, Tensor key, Tensor value, Tensor? attn_mask=None, float dropout_p=0.0, bool is_causal=False, Tensor? dropout_mask=None, *, float? scale=None) -> (Tensor, Tensor)
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -151564,7 +159457,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: attn_mask
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 0.0
     dynamic_type: double
@@ -151582,8 +159475,15 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: dropout_mask
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, double, bool, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, double, bool, const ::std::optional<at::Tensor> &, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -151605,7 +159505,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: attn_mask
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 0.0
     dynamic_type: double
@@ -151623,7 +159523,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: dropout_mask
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -151638,17 +159545,17 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: _scaled_dot_product_flash_attention
   operator_name: _scaled_dot_product_flash_attention
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_scaled_dot_product_flash_attention(Tensor query, Tensor key, Tensor value, float dropout_p=0.0, bool is_causal=False, bool return_debug_mask=False) -> (Tensor ouput, Tensor logsumexp, Tensor cum_seq_q, Tensor cum_seq_k, int max_q, int max_k, int philox_seed, int philox_offset, Tensor debug_attn_mask)
+  schema_string: aten::_scaled_dot_product_flash_attention(Tensor query, Tensor key, Tensor value, float dropout_p=0.0, bool is_causal=False, bool return_debug_mask=False, *, float? scale=None) -> (Tensor output, Tensor logsumexp, Tensor cum_seq_q, Tensor cum_seq_k, SymInt max_q, SymInt max_k, Tensor philox_seed, Tensor philox_offset, Tensor debug_attn_mask)
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -151683,7 +159590,14 @@
     is_nullable: false
     name: return_debug_mask
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,int64_t,int64_t,int64_t,int64_t,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, double, bool, bool)
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,c10::SymInt,c10::SymInt,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, double, bool, bool, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -151718,6 +159632,13 @@
     is_nullable: false
     name: return_debug_mask
     type: bool
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -151725,8 +159646,8 @@
   python_module: ''
   returns:
   - dynamic_type: at::Tensor
-    field_name: ouput
-    name: ouput
+    field_name: output
+    name: output
     type: at::Tensor
   - dynamic_type: at::Tensor
     field_name: logsumexp
@@ -151743,19 +159664,19 @@
   - dynamic_type: int64_t
     field_name: max_q
     name: max_q
-    type: int64_t
+    type: c10::SymInt
   - dynamic_type: int64_t
     field_name: max_k
     name: max_k
-    type: int64_t
-  - dynamic_type: int64_t
+    type: c10::SymInt
+  - dynamic_type: at::Tensor
     field_name: philox_seed
     name: philox_seed
-    type: int64_t
-  - dynamic_type: int64_t
+    type: at::Tensor
+  - dynamic_type: at::Tensor
     field_name: philox_offset
     name: philox_offset
-    type: int64_t
+    type: at::Tensor
   - dynamic_type: at::Tensor
     field_name: debug_attn_mask
     name: debug_attn_mask
@@ -151767,18 +159688,13 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _scaled_dot_product_flash_attention_backward
-  operator_name: _scaled_dot_product_flash_attention_backward
+- name: _scaled_dot_product_flash_attention_for_cpu
+  operator_name: _scaled_dot_product_flash_attention_for_cpu
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_scaled_dot_product_flash_attention_backward(Tensor grad_out, Tensor query, Tensor key, Tensor value, Tensor out, Tensor logsumexp, Tensor cum_seq_q, Tensor cum_seq_k, int max_q, int max_k, float dropout_p, bool is_causal, int philox_seed, int philox_offset) -> (Tensor grad_query, Tensor grad_key, Tensor grad_value)
+  schema_string: aten::_scaled_dot_product_flash_attention_for_cpu(Tensor query, Tensor key, Tensor value, float dropout_p=0.0, bool is_causal=False, *, Tensor? attn_mask=None, float? scale=None) -> (Tensor output, Tensor logsumexp)
   arguments:
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: grad_out
-    type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -151795,62 +159711,33 @@
     name: value
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: logsumexp
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: cum_seq_q
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: cum_seq_k
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: max_q
-    type: int64_t
-  - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: max_k
-    type: int64_t
-  - annotation: null
+    default: 0.0
     dynamic_type: double
     is_nullable: false
     name: dropout_p
     type: double
   - annotation: null
+    default: false
     dynamic_type: bool
     is_nullable: false
     name: is_causal
     type: bool
   - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: philox_seed
-    type: int64_t
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: attn_mask
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: philox_offset
-    type: int64_t
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, int64_t, double, bool, int64_t, int64_t)
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, double, bool, const ::std::optional<at::Tensor> &, ::std::optional<double>)
   schema_order_arguments:
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: grad_out
-    type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -151867,55 +159754,31 @@
     name: value
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: logsumexp
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: cum_seq_q
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: cum_seq_k
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: max_q
-    type: int64_t
-  - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: max_k
-    type: int64_t
-  - annotation: null
+    default: 0.0
     dynamic_type: double
     is_nullable: false
     name: dropout_p
     type: double
   - annotation: null
+    default: false
     dynamic_type: bool
     is_nullable: false
     name: is_causal
     type: bool
   - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: philox_seed
-    type: int64_t
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: attn_mask
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: philox_offset
-    type: int64_t
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -151923,16 +159786,12 @@
   python_module: ''
   returns:
   - dynamic_type: at::Tensor
-    field_name: grad_query
-    name: grad_query
-    type: at::Tensor
-  - dynamic_type: at::Tensor
-    field_name: grad_key
-    name: grad_key
+    field_name: output
+    name: output
     type: at::Tensor
   - dynamic_type: at::Tensor
-    field_name: grad_value
-    name: grad_value
+    field_name: logsumexp
+    name: logsumexp
     type: at::Tensor
   inplace: false
   is_factory_method: false
@@ -151941,12 +159800,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _scaled_dot_product_efficient_attention
-  operator_name: _scaled_dot_product_efficient_attention
+- name: _scaled_dot_product_fused_attention_overrideable
+  operator_name: _scaled_dot_product_fused_attention_overrideable
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_scaled_dot_product_efficient_attention(Tensor query, Tensor key, Tensor value, bool compute_log_sumexp, bool is_causal=False) -> (Tensor, Tensor)
+  schema_string: aten::_scaled_dot_product_fused_attention_overrideable(Tensor query, Tensor key, Tensor value, Tensor? attn_bias=None, float dropout_p=0.0, bool is_causal=False, bool return_debug_mask=False, *, float? scale=None) -> (Tensor output, Tensor logsumexp, Tensor cum_seq_q, Tensor cum_seq_k, SymInt max_q, SymInt max_k, Tensor philox_seed, Tensor philox_offset, Tensor debug_attn_mask)
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -151964,17 +159823,37 @@
     name: value
     type: const at::Tensor &
   - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: attn_bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: 0.0
+    dynamic_type: double
+    is_nullable: false
+    name: dropout_p
+    type: double
+  - annotation: null
+    default: false
     dynamic_type: bool
     is_nullable: false
-    name: compute_log_sumexp
+    name: is_causal
     type: bool
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
-    name: is_causal
+    name: return_debug_mask
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, bool, bool)
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,c10::SymInt,c10::SymInt,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, double, bool, bool, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -151992,16 +159871,36 @@
     name: value
     type: const at::Tensor &
   - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: attn_bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: 0.0
+    dynamic_type: double
+    is_nullable: false
+    name: dropout_p
+    type: double
+  - annotation: null
+    default: false
     dynamic_type: bool
     is_nullable: false
-    name: compute_log_sumexp
+    name: is_causal
     type: bool
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
-    name: is_causal
+    name: return_debug_mask
     type: bool
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -152009,10 +159908,40 @@
   python_module: ''
   returns:
   - dynamic_type: at::Tensor
-    name: result0
+    field_name: output
+    name: output
     type: at::Tensor
   - dynamic_type: at::Tensor
-    name: result1
+    field_name: logsumexp
+    name: logsumexp
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    field_name: cum_seq_q
+    name: cum_seq_q
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    field_name: cum_seq_k
+    name: cum_seq_k
+    type: at::Tensor
+  - dynamic_type: int64_t
+    field_name: max_q
+    name: max_q
+    type: c10::SymInt
+  - dynamic_type: int64_t
+    field_name: max_k
+    name: max_k
+    type: c10::SymInt
+  - dynamic_type: at::Tensor
+    field_name: philox_seed
+    name: philox_seed
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    field_name: philox_offset
+    name: philox_offset
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    field_name: debug_attn_mask
+    name: debug_attn_mask
     type: at::Tensor
   inplace: false
   is_factory_method: false
@@ -152021,17 +159950,17 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _scaled_dot_product_efficient_attention_backward
-  operator_name: _scaled_dot_product_efficient_attention_backward
+- name: _scaled_dot_product_flash_attention_backward
+  operator_name: _scaled_dot_product_flash_attention_backward
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_scaled_dot_product_efficient_attention_backward(Tensor grad_out_, Tensor query, Tensor key, Tensor value, Tensor out, Tensor logsumexp, bool is_causal=False, bool chunk_grad_outputs=False) -> (Tensor, Tensor, Tensor)
+  schema_string: aten::_scaled_dot_product_flash_attention_backward(Tensor grad_out, Tensor query, Tensor key, Tensor value, Tensor out, Tensor logsumexp, Tensor cum_seq_q, Tensor cum_seq_k, SymInt max_q, SymInt max_k, float dropout_p, bool is_causal, Tensor philox_seed, Tensor philox_offset, *, float? scale=None) -> (Tensor grad_query, Tensor grad_key, Tensor grad_value)
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: grad_out_
+    name: grad_out
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
@@ -152059,23 +159988,58 @@
     name: logsumexp
     type: const at::Tensor &
   - annotation: null
-    default: false
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: cum_seq_q
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: cum_seq_k
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: max_q
+    type: int64_t
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: max_k
+    type: int64_t
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: dropout_p
+    type: double
+  - annotation: null
     dynamic_type: bool
     is_nullable: false
     name: is_causal
     type: bool
   - annotation: null
-    default: false
-    dynamic_type: bool
+    dynamic_type: at::Tensor
     is_nullable: false
-    name: chunk_grad_outputs
-    type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, bool, bool)
+    name: philox_seed
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: philox_offset
+    type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, int64_t, double, bool, const at::Tensor &, const at::Tensor &, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: grad_out_
+    name: grad_out
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
@@ -152102,100 +160066,71 @@
     is_nullable: false
     name: logsumexp
     type: const at::Tensor &
-  - annotation: null
-    default: false
-    dynamic_type: bool
-    is_nullable: false
-    name: is_causal
-    type: bool
-  - annotation: null
-    default: false
-    dynamic_type: bool
-    is_nullable: false
-    name: chunk_grad_outputs
-    type: bool
-  method_of:
-  - Type
-  - namespace
-  mode: native
-  python_module: ''
-  returns:
-  - dynamic_type: at::Tensor
-    name: result0
-    type: at::Tensor
-  - dynamic_type: at::Tensor
-    name: result1
-    type: at::Tensor
-  - dynamic_type: at::Tensor
-    name: result2
-    type: at::Tensor
-  inplace: false
-  is_factory_method: false
-  abstract: true
-  device_guard: true
-  with_gil: false
-  deprecated: false
-  has_math_kernel: false
-- name: _chunk_grad_outputs_efficient_attention
-  operator_name: _chunk_grad_outputs_efficient_attention
-  overload_name: ''
-  manual_kernel_registration: false
-  category_override: ''
-  schema_string: aten::_chunk_grad_outputs_efficient_attention(Tensor query, Tensor key, Tensor value, bool is_causal=False) -> bool
-  arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: query
+    name: cum_seq_q
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: key
+    name: cum_seq_k
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: int64_t
     is_nullable: false
-    name: value
-    type: const at::Tensor &
+    name: max_q
+    type: int64_t
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: max_k
+    type: int64_t
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: dropout_p
+    type: double
   - annotation: null
-    default: false
     dynamic_type: bool
     is_nullable: false
     name: is_causal
     type: bool
-  schema_order_cpp_signature: bool (const at::Tensor &, const at::Tensor &, const at::Tensor &, bool)
-  schema_order_arguments:
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: query
-    type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: key
+    name: philox_seed
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: value
+    name: philox_offset
     type: const at::Tensor &
   - annotation: null
-    default: false
-    dynamic_type: bool
-    is_nullable: false
-    name: is_causal
-    type: bool
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
   mode: native
   python_module: ''
   returns:
-  - dynamic_type: bool
-    name: result
-    type: bool
+  - dynamic_type: at::Tensor
+    field_name: grad_query
+    name: grad_query
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    field_name: grad_key
+    name: grad_key
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    field_name: grad_value
+    name: grad_value
+    type: at::Tensor
   inplace: false
   is_factory_method: false
   abstract: true
@@ -152203,13 +160138,18 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _flash_attention_forward
-  operator_name: _flash_attention_forward
+- name: _scaled_dot_product_flash_attention_for_cpu_backward
+  operator_name: _scaled_dot_product_flash_attention_for_cpu_backward
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_flash_attention_forward(Tensor query, Tensor key, Tensor value, Tensor cum_seq_q, Tensor cum_seq_k, int max_q, int max_k, float dropout_p, bool is_causal, bool return_debug_mask) -> (Tensor output, Tensor softmax_logsumexp, int philox_seed, int philox_offset, Tensor debug_attn_mask)
+  schema_string: aten::_scaled_dot_product_flash_attention_for_cpu_backward(Tensor grad_out, Tensor query, Tensor key, Tensor value, Tensor out, Tensor logsumexp, float dropout_p, bool is_causal, *, Tensor? attn_mask=None, float? scale=None) -> (Tensor grad_query, Tensor grad_key, Tensor grad_value)
   arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: grad_out
+    type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -152228,23 +160168,13 @@
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: cum_seq_q
+    name: out
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: cum_seq_k
+    name: logsumexp
     type: const at::Tensor &
-  - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: max_q
-    type: int64_t
-  - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: max_k
-    type: int64_t
   - annotation: null
     dynamic_type: double
     is_nullable: false
@@ -152256,12 +160186,26 @@
     name: is_causal
     type: bool
   - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    name: return_debug_mask
-    type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,int64_t,int64_t,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, int64_t, double, bool, bool)
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: attn_mask
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, double, bool, const ::std::optional<at::Tensor> &, ::std::optional<double>)
   schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: grad_out
+    type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -152280,23 +160224,13 @@
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: cum_seq_q
+    name: out
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: cum_seq_k
+    name: logsumexp
     type: const at::Tensor &
-  - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: max_q
-    type: int64_t
-  - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: max_k
-    type: int64_t
   - annotation: null
     dynamic_type: double
     is_nullable: false
@@ -152308,10 +160242,19 @@
     name: is_causal
     type: bool
   - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    name: return_debug_mask
-    type: bool
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: attn_mask
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -152319,24 +160262,16 @@
   python_module: ''
   returns:
   - dynamic_type: at::Tensor
-    field_name: output
-    name: output
+    field_name: grad_query
+    name: grad_query
     type: at::Tensor
   - dynamic_type: at::Tensor
-    field_name: softmax_logsumexp
-    name: softmax_logsumexp
+    field_name: grad_key
+    name: grad_key
     type: at::Tensor
-  - dynamic_type: int64_t
-    field_name: philox_seed
-    name: philox_seed
-    type: int64_t
-  - dynamic_type: int64_t
-    field_name: philox_offset
-    name: philox_offset
-    type: int64_t
   - dynamic_type: at::Tensor
-    field_name: debug_attn_mask
-    name: debug_attn_mask
+    field_name: grad_value
+    name: grad_value
     type: at::Tensor
   inplace: false
   is_factory_method: false
@@ -152345,12 +160280,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _flash_attention_backward
-  operator_name: _flash_attention_backward
+- name: _scaled_dot_product_fused_attention_overrideable_backward
+  operator_name: _scaled_dot_product_fused_attention_overrideable_backward
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_flash_attention_backward(Tensor grad_out, Tensor query, Tensor key, Tensor value, Tensor out, Tensor logsumexp, Tensor cum_seq_q, Tensor cum_seq_k, int max_q, int max_k, float dropout_p, bool is_causal, int philox_seed, int philox_offset) -> (Tensor, Tensor, Tensor)
+  schema_string: aten::_scaled_dot_product_fused_attention_overrideable_backward(Tensor grad_out, Tensor query, Tensor key, Tensor value, Tensor attn_bias, bool[4] grad_input_mask, Tensor out, Tensor logsumexp, Tensor cum_seq_q, Tensor cum_seq_k, SymInt max_q, SymInt max_k, float dropout_p, bool is_causal, Tensor philox_seed, Tensor philox_offset, *, float? scale=None) -> (Tensor grad_query, Tensor grad_key, Tensor grad_value, Tensor grad_attn_bias)
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -152372,6 +160307,16 @@
     is_nullable: false
     name: value
     type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: attn_bias
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: ::std::array<bool,4>
+    is_nullable: false
+    name: grad_input_mask
+    type: ::std::array<bool,4>
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -152413,16 +160358,23 @@
     name: is_causal
     type: bool
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: at::Tensor
     is_nullable: false
     name: philox_seed
-    type: int64_t
+    type: const at::Tensor &
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: at::Tensor
     is_nullable: false
     name: philox_offset
-    type: int64_t
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, int64_t, double, bool, int64_t, int64_t)
+    type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, ::std::array<bool,4>, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, int64_t, double, bool, const at::Tensor &, const at::Tensor &, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -152444,6 +160396,16 @@
     is_nullable: false
     name: value
     type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: attn_bias
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: ::std::array<bool,4>
+    is_nullable: false
+    name: grad_input_mask
+    type: ::std::array<bool,4>
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -152485,15 +160447,22 @@
     name: is_causal
     type: bool
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: at::Tensor
     is_nullable: false
     name: philox_seed
-    type: int64_t
+    type: const at::Tensor &
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: at::Tensor
     is_nullable: false
     name: philox_offset
-    type: int64_t
+    type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -152501,13 +160470,20 @@
   python_module: ''
   returns:
   - dynamic_type: at::Tensor
-    name: result0
+    field_name: grad_query
+    name: grad_query
     type: at::Tensor
   - dynamic_type: at::Tensor
-    name: result1
+    field_name: grad_key
+    name: grad_key
     type: at::Tensor
   - dynamic_type: at::Tensor
-    name: result2
+    field_name: grad_value
+    name: grad_value
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    field_name: grad_attn_bias
+    name: grad_attn_bias
     type: at::Tensor
   inplace: false
   is_factory_method: false
@@ -152516,12 +160492,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _efficient_attention_forward
-  operator_name: _efficient_attention_forward
+- name: _scaled_dot_product_efficient_attention
+  operator_name: _scaled_dot_product_efficient_attention
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_efficient_attention_forward(Tensor query, Tensor key, Tensor value, Tensor? cu_seqlens_q, Tensor? cu_seqlens_k, int? max_seqlen_q, bool compute_log_sumexp=False, bool causal=False) -> (Tensor, Tensor)
+  schema_string: aten::_scaled_dot_product_efficient_attention(Tensor query, Tensor key, Tensor value, Tensor? attn_bias, bool compute_log_sumexp, float dropout_p=0.0, bool is_causal=False, *, float? scale=None) -> (Tensor output, Tensor log_sumexp, Tensor philox_seed, Tensor philox_offset)
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -152541,31 +160517,33 @@
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
-    name: cu_seqlens_q
-    type: const c10::optional<at::Tensor> &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: true
-    name: cu_seqlens_k
-    type: const c10::optional<at::Tensor> &
-  - annotation: null
-    dynamic_type: int64_t
-    is_nullable: true
-    name: max_seqlen_q
-    type: c10::optional<int64_t>
+    name: attn_bias
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
-    default: false
     dynamic_type: bool
     is_nullable: false
     name: compute_log_sumexp
     type: bool
+  - annotation: null
+    default: 0.0
+    dynamic_type: double
+    is_nullable: false
+    name: dropout_p
+    type: double
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
-    name: causal
+    name: is_causal
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, c10::optional<int64_t>, bool, bool)
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, bool, double, bool, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -152585,30 +160563,32 @@
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
-    name: cu_seqlens_q
-    type: const c10::optional<at::Tensor> &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: true
-    name: cu_seqlens_k
-    type: const c10::optional<at::Tensor> &
-  - annotation: null
-    dynamic_type: int64_t
-    is_nullable: true
-    name: max_seqlen_q
-    type: c10::optional<int64_t>
+    name: attn_bias
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
-    default: false
     dynamic_type: bool
     is_nullable: false
     name: compute_log_sumexp
     type: bool
+  - annotation: null
+    default: 0.0
+    dynamic_type: double
+    is_nullable: false
+    name: dropout_p
+    type: double
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
-    name: causal
+    name: is_causal
     type: bool
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -152616,10 +160596,20 @@
   python_module: ''
   returns:
   - dynamic_type: at::Tensor
-    name: result0
+    field_name: output
+    name: output
     type: at::Tensor
   - dynamic_type: at::Tensor
-    name: result1
+    field_name: log_sumexp
+    name: log_sumexp
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    field_name: philox_seed
+    name: philox_seed
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    field_name: philox_offset
+    name: philox_offset
     type: at::Tensor
   inplace: false
   is_factory_method: false
@@ -152628,12 +160618,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _efficient_attention_backward
-  operator_name: _efficient_attention_backward
+- name: _scaled_dot_product_efficient_attention_backward
+  operator_name: _scaled_dot_product_efficient_attention_backward
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_efficient_attention_backward(Tensor grad_out_, Tensor query, Tensor key, Tensor value, Tensor out, Tensor logsumexp, bool is_causal=False, bool chunk_grad_outputs=False) -> (Tensor, Tensor, Tensor)
+  schema_string: aten::_scaled_dot_product_efficient_attention_backward(Tensor grad_out_, Tensor query, Tensor key, Tensor value, Tensor attn_bias, Tensor out, Tensor logsumexp, Tensor philox_seed, Tensor philox_offset, float dropout_p, bool[4] grad_input_mask, bool is_causal=False, *, float? scale=None) -> (Tensor, Tensor, Tensor, Tensor)
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -152655,6 +160645,11 @@
     is_nullable: false
     name: value
     type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: attn_bias
+    type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -152666,18 +160661,39 @@
     name: logsumexp
     type: const at::Tensor &
   - annotation: null
-    default: false
-    dynamic_type: bool
+    dynamic_type: at::Tensor
     is_nullable: false
-    name: is_causal
-    type: bool
+    name: philox_seed
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: philox_offset
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: dropout_p
+    type: double
+  - annotation: null
+    dynamic_type: ::std::array<bool,4>
+    is_nullable: false
+    name: grad_input_mask
+    type: ::std::array<bool,4>
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
-    name: chunk_grad_outputs
+    name: is_causal
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, bool, bool)
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, double, ::std::array<bool,4>, bool, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -152699,6 +160715,11 @@
     is_nullable: false
     name: value
     type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: attn_bias
+    type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -152710,17 +160731,38 @@
     name: logsumexp
     type: const at::Tensor &
   - annotation: null
-    default: false
-    dynamic_type: bool
+    dynamic_type: at::Tensor
     is_nullable: false
-    name: is_causal
-    type: bool
+    name: philox_seed
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: philox_offset
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: dropout_p
+    type: double
+  - annotation: null
+    dynamic_type: ::std::array<bool,4>
+    is_nullable: false
+    name: grad_input_mask
+    type: ::std::array<bool,4>
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
-    name: chunk_grad_outputs
+    name: is_causal
     type: bool
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -152736,6 +160778,9 @@
   - dynamic_type: at::Tensor
     name: result2
     type: at::Tensor
+  - dynamic_type: at::Tensor
+    name: result3
+    type: at::Tensor
   inplace: false
   is_factory_method: false
   abstract: true
@@ -152743,57 +160788,115 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _triton_scaled_dot_attention
-  operator_name: _triton_scaled_dot_attention
+- name: _scaled_dot_product_cudnn_attention
+  operator_name: _scaled_dot_product_cudnn_attention
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_triton_scaled_dot_attention(Tensor q, Tensor k, Tensor v, float dropout_p=0.0) -> Tensor
+  schema_string: aten::_scaled_dot_product_cudnn_attention(Tensor query, Tensor key, Tensor value, Tensor? attn_bias, bool compute_log_sumexp, float dropout_p=0.0, bool is_causal=False, bool return_debug_mask=False, *, float? scale=None) -> (Tensor output, Tensor logsumexp, Tensor cum_seq_q, Tensor cum_seq_k, SymInt max_q, SymInt max_k, Tensor philox_seed, Tensor philox_offset, Tensor debug_attn_mask)
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: q
+    name: query
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: k
+    name: key
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: v
+    name: value
     type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: attn_bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    name: compute_log_sumexp
+    type: bool
   - annotation: null
     default: 0.0
     dynamic_type: double
     is_nullable: false
     name: dropout_p
     type: double
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, double)
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: is_causal
+    type: bool
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: return_debug_mask
+    type: bool
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,c10::SymInt,c10::SymInt,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, bool, double, bool, bool, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: q
+    name: query
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: k
+    name: key
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: v
+    name: value
     type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: attn_bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    name: compute_log_sumexp
+    type: bool
   - annotation: null
     default: 0.0
     dynamic_type: double
     is_nullable: false
     name: dropout_p
     type: double
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: is_causal
+    type: bool
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: return_debug_mask
+    type: bool
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -152801,7 +160904,40 @@
   python_module: ''
   returns:
   - dynamic_type: at::Tensor
-    name: result
+    field_name: output
+    name: output
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    field_name: logsumexp
+    name: logsumexp
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    field_name: cum_seq_q
+    name: cum_seq_q
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    field_name: cum_seq_k
+    name: cum_seq_k
+    type: at::Tensor
+  - dynamic_type: int64_t
+    field_name: max_q
+    name: max_q
+    type: c10::SymInt
+  - dynamic_type: int64_t
+    field_name: max_k
+    name: max_k
+    type: c10::SymInt
+  - dynamic_type: at::Tensor
+    field_name: philox_seed
+    name: philox_seed
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    field_name: philox_offset
+    name: philox_offset
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    field_name: debug_attn_mask
+    name: debug_attn_mask
     type: at::Tensor
   inplace: false
   is_factory_method: false
@@ -152810,13 +160946,18 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _triton_multi_head_attention
-  operator_name: _triton_multi_head_attention
+- name: _scaled_dot_product_cudnn_attention_backward
+  operator_name: _scaled_dot_product_cudnn_attention_backward
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_triton_multi_head_attention(Tensor query, Tensor key, Tensor value, int embed_dim, int num_head, Tensor qkv_weight, Tensor qkv_bias, Tensor proj_weight, Tensor proj_bias, Tensor? mask=None) -> Tensor
+  schema_string: aten::_scaled_dot_product_cudnn_attention_backward(Tensor grad_out, Tensor query, Tensor key, Tensor value, Tensor out, Tensor logsumexp, Tensor philox_seed, Tensor philox_offset, Tensor attn_bias, Tensor cum_seq_q, Tensor cum_seq_k, SymInt max_q, SymInt max_k, float dropout_p, bool is_causal, *, float? scale=None) -> (Tensor, Tensor, Tensor)
   arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: grad_out
+    type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -152833,43 +160974,74 @@
     name: value
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: at::Tensor
     is_nullable: false
-    name: embed_dim
-    type: int64_t
+    name: out
+    type: const at::Tensor &
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: at::Tensor
     is_nullable: false
-    name: num_head
-    type: int64_t
+    name: logsumexp
+    type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: qkv_weight
+    name: philox_seed
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: qkv_bias
+    name: philox_offset
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: proj_weight
+    name: attn_bias
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: proj_bias
+    name: cum_seq_q
     type: const at::Tensor &
   - annotation: null
-    default: '{}'
     dynamic_type: at::Tensor
+    is_nullable: false
+    name: cum_seq_k
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: max_q
+    type: int64_t
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: max_k
+    type: int64_t
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: dropout_p
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    name: is_causal
+    type: bool
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
     is_nullable: true
-    name: mask
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, int64_t, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &)
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, int64_t, double, bool, ::std::optional<double>)
   schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: grad_out
+    type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -152886,41 +161058,67 @@
     name: value
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: at::Tensor
     is_nullable: false
-    name: embed_dim
-    type: int64_t
+    name: out
+    type: const at::Tensor &
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: at::Tensor
     is_nullable: false
-    name: num_head
-    type: int64_t
+    name: logsumexp
+    type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: qkv_weight
+    name: philox_seed
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: qkv_bias
+    name: philox_offset
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: proj_weight
+    name: attn_bias
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: proj_bias
+    name: cum_seq_q
     type: const at::Tensor &
   - annotation: null
-    default: '{}'
     dynamic_type: at::Tensor
+    is_nullable: false
+    name: cum_seq_k
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: max_q
+    type: int64_t
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: max_k
+    type: int64_t
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: dropout_p
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    name: is_causal
+    type: bool
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
     is_nullable: true
-    name: mask
-    type: const c10::optional<at::Tensor> &
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -152928,7 +161126,13 @@
   python_module: ''
   returns:
   - dynamic_type: at::Tensor
-    name: result
+    name: result0
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    name: result1
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    name: result2
     type: at::Tensor
   inplace: false
   is_factory_method: false
@@ -152937,315 +161141,409 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: special_airy_ai
-  operator_name: special_airy_ai
+- name: _flash_attention_forward
+  operator_name: _flash_attention_forward
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::special_airy_ai(Tensor x) -> Tensor
+  schema_string: aten::_flash_attention_forward(Tensor query, Tensor key, Tensor value, Tensor? cum_seq_q, Tensor? cum_seq_k, SymInt max_q, SymInt max_k, float dropout_p, bool is_causal, bool return_debug_mask, *, float? scale=None, SymInt? window_size_left=None, SymInt? window_size_right=None, Tensor? seqused_k=None, Tensor? alibi_slopes=None) -> (Tensor output, Tensor softmax_logsumexp, Tensor philox_seed, Tensor philox_offset, Tensor debug_attn_mask)
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: x
+    name: query
     type: const at::Tensor &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &)
-  schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: x
+    name: key
     type: const at::Tensor &
-  method_of:
-  - Type
-  - namespace
-  mode: native
-  python_module: special
-  returns:
-  - dynamic_type: at::Tensor
-    name: result
-    type: at::Tensor
-  inplace: false
-  is_factory_method: false
-  abstract: true
-  device_guard: true
-  with_gil: false
-  deprecated: false
-  has_math_kernel: false
-- name: special_airy_ai_out
-  operator_name: special_airy_ai
-  overload_name: out
-  manual_kernel_registration: false
-  category_override: ''
-  schema_string: aten::special_airy_ai.out(Tensor x, *, Tensor(a!) out) -> Tensor(a!)
-  arguments:
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: x
+    name: value
     type: const at::Tensor &
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::Tensor &)
-  schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
-    is_nullable: false
-    name: x
-    type: const at::Tensor &
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
-  method_of:
-  - Type
-  - namespace
-  mode: native
-  python_module: special
-  returns:
-  - dynamic_type: at::Tensor
-    name: out
-    type: at::Tensor &
-  inplace: false
-  is_factory_method: false
-  abstract: true
-  device_guard: true
-  with_gil: false
-  deprecated: false
-  has_math_kernel: false
-- name: _transformer_decoder_only_layer_fwd
-  operator_name: _transformer_decoder_only_layer_fwd
-  overload_name: ''
-  manual_kernel_registration: false
-  category_override: ''
-  schema_string: aten::_transformer_decoder_only_layer_fwd(Tensor src, int embed_dim, int num_heads, Tensor qkv_weight, Tensor qkv_bias, Tensor proj_weight, Tensor proj_bias, bool use_gelu, bool norm_first, float eps, Tensor norm_weight_1, Tensor norm_bias_1, Tensor norm_weight_2, Tensor norm_bias_2, Tensor ffn_weight_1, Tensor ffn_bias_1, Tensor ffn_weight_2, Tensor ffn_bias_2, Tensor? mask=None, Tensor? incr_key=None, Tensor? incr_value=None) -> (Tensor, Tensor, Tensor)
-  arguments:
+    is_nullable: true
+    name: cum_seq_q
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
-    is_nullable: false
-    name: src
-    type: const at::Tensor &
+    is_nullable: true
+    name: cum_seq_k
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
-    name: embed_dim
+    name: max_q
     type: int64_t
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
-    name: num_heads
+    name: max_k
     type: int64_t
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: dropout_p
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    name: is_causal
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    name: return_debug_mask
+    type: bool
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    kwarg_only: true
+    name: window_size_left
+    type: ::std::optional<int64_t>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    kwarg_only: true
+    name: window_size_right
+    type: ::std::optional<int64_t>
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: seqused_k
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: alibi_slopes
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, int64_t, int64_t, double, bool, bool, ::std::optional<double>, ::std::optional<int64_t>, ::std::optional<int64_t>, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
+  schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: qkv_weight
+    name: query
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: qkv_bias
+    name: key
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: proj_weight
+    name: value
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
+    is_nullable: true
+    name: cum_seq_q
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: cum_seq_k
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: int64_t
     is_nullable: false
-    name: proj_bias
-    type: const at::Tensor &
+    name: max_q
+    type: int64_t
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: max_k
+    type: int64_t
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: dropout_p
+    type: double
   - annotation: null
     dynamic_type: bool
     is_nullable: false
-    name: use_gelu
+    name: is_causal
     type: bool
   - annotation: null
     dynamic_type: bool
     is_nullable: false
-    name: norm_first
+    name: return_debug_mask
     type: bool
   - annotation: null
+    default: ::std::nullopt
     dynamic_type: double
-    is_nullable: false
-    name: eps
-    type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    kwarg_only: true
+    name: window_size_left
+    type: ::std::optional<int64_t>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    kwarg_only: true
+    name: window_size_right
+    type: ::std::optional<int64_t>
   - annotation: null
+    default: '{}'
     dynamic_type: at::Tensor
-    is_nullable: false
-    name: norm_weight_1
-    type: const at::Tensor &
+    is_nullable: true
+    kwarg_only: true
+    name: seqused_k
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
+    default: '{}'
     dynamic_type: at::Tensor
-    is_nullable: false
-    name: norm_bias_1
-    type: const at::Tensor &
+    is_nullable: true
+    kwarg_only: true
+    name: alibi_slopes
+    type: const ::std::optional<at::Tensor> &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    field_name: output
+    name: output
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    field_name: softmax_logsumexp
+    name: softmax_logsumexp
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    field_name: philox_seed
+    name: philox_seed
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    field_name: philox_offset
+    name: philox_offset
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    field_name: debug_attn_mask
+    name: debug_attn_mask
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _flash_attention_backward
+  operator_name: _flash_attention_backward
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_flash_attention_backward(Tensor grad_out, Tensor query, Tensor key, Tensor value, Tensor out, Tensor logsumexp, Tensor cum_seq_q, Tensor cum_seq_k, SymInt max_q, SymInt max_k, float dropout_p, bool is_causal, Tensor philox_seed, Tensor philox_offset, *, float? scale=None, SymInt? window_size_left=None, SymInt? window_size_right=None) -> (Tensor, Tensor, Tensor)
+  arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: norm_weight_2
+    name: grad_out
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: norm_bias_2
+    name: query
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: ffn_weight_1
+    name: key
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: ffn_bias_1
+    name: value
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: ffn_weight_2
+    name: out
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: ffn_bias_2
+    name: logsumexp
     type: const at::Tensor &
   - annotation: null
-    default: '{}'
-    dynamic_type: at::Tensor
-    is_nullable: true
-    name: mask
-    type: const c10::optional<at::Tensor> &
-  - annotation: null
-    default: '{}'
-    dynamic_type: at::Tensor
-    is_nullable: true
-    name: incr_key
-    type: const c10::optional<at::Tensor> &
-  - annotation: null
-    default: '{}'
     dynamic_type: at::Tensor
-    is_nullable: true
-    name: incr_value
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, int64_t, int64_t, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, bool, bool, double, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &)
-  schema_order_arguments:
+    is_nullable: false
+    name: cum_seq_q
+    type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: src
+    name: cum_seq_k
     type: const at::Tensor &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
-    name: embed_dim
+    name: max_q
     type: int64_t
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
-    name: num_heads
+    name: max_k
     type: int64_t
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: double
     is_nullable: false
-    name: qkv_weight
-    type: const at::Tensor &
+    name: dropout_p
+    type: double
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: bool
     is_nullable: false
-    name: qkv_bias
-    type: const at::Tensor &
+    name: is_causal
+    type: bool
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: proj_weight
+    name: philox_seed
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: proj_bias
+    name: philox_offset
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    name: use_gelu
-    type: bool
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
   - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    name: norm_first
-    type: bool
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    kwarg_only: true
+    name: window_size_left
+    type: ::std::optional<int64_t>
   - annotation: null
-    dynamic_type: double
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    kwarg_only: true
+    name: window_size_right
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, int64_t, double, bool, const at::Tensor &, const at::Tensor &, ::std::optional<double>, ::std::optional<int64_t>, ::std::optional<int64_t>)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
     is_nullable: false
-    name: eps
-    type: double
+    name: grad_out
+    type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: norm_weight_1
+    name: query
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: norm_bias_1
+    name: key
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: norm_weight_2
+    name: value
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: norm_bias_2
+    name: out
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: ffn_weight_1
+    name: logsumexp
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: ffn_bias_1
+    name: cum_seq_q
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: ffn_weight_2
+    name: cum_seq_k
     type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: max_q
+    type: int64_t
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: max_k
+    type: int64_t
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: dropout_p
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    name: is_causal
+    type: bool
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: ffn_bias_2
+    name: philox_seed
     type: const at::Tensor &
   - annotation: null
-    default: '{}'
     dynamic_type: at::Tensor
+    is_nullable: false
+    name: philox_offset
+    type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
     is_nullable: true
-    name: mask
-    type: const c10::optional<at::Tensor> &
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
   - annotation: null
-    default: '{}'
-    dynamic_type: at::Tensor
+    default: ::std::nullopt
+    dynamic_type: int64_t
     is_nullable: true
-    name: incr_key
-    type: const c10::optional<at::Tensor> &
+    kwarg_only: true
+    name: window_size_left
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: '{}'
-    dynamic_type: at::Tensor
+    default: ::std::nullopt
+    dynamic_type: int64_t
     is_nullable: true
-    name: incr_value
-    type: const c10::optional<at::Tensor> &
+    kwarg_only: true
+    name: window_size_right
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - namespace
@@ -153268,12 +161566,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _native_decoder_only_multi_head_attention
-  operator_name: _native_decoder_only_multi_head_attention
+- name: _efficient_attention_forward
+  operator_name: _efficient_attention_forward
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_native_decoder_only_multi_head_attention(Tensor query, Tensor key, Tensor value, int embed_dim, int num_head, Tensor qkv_weight, Tensor qkv_bias, Tensor proj_weight, Tensor proj_bias, Tensor? mask=None, Tensor? incr_key=None, Tensor? incr_value=None, bool need_weights=True, bool average_attn_weights=True) -> (Tensor, Tensor, Tensor, Tensor)
+  schema_string: aten::_efficient_attention_forward(Tensor query, Tensor key, Tensor value, Tensor? bias, Tensor? cu_seqlens_q, Tensor? cu_seqlens_k, SymInt? max_seqlen_q, SymInt? max_seqlen_k, float dropout_p, int custom_mask_type, bool compute_log_sumexp=False, *, float? scale=None, Tensor? seqlen_k=None, int? window_size=None) -> (Tensor output, Tensor logsumexp, Tensor philox_seed, Tensor philox_offset, SymInt max_seqlen_batch_q, SymInt max_seqlen_batch_k)
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -153290,68 +161588,196 @@
     is_nullable: false
     name: value
     type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: cu_seqlens_q
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: cu_seqlens_k
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: true
+    name: max_seqlen_q
+    type: ::std::optional<int64_t>
   - annotation: null
     dynamic_type: int64_t
+    is_nullable: true
+    name: max_seqlen_k
+    type: ::std::optional<int64_t>
+  - annotation: null
+    dynamic_type: double
     is_nullable: false
-    name: embed_dim
-    type: int64_t
+    name: dropout_p
+    type: double
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
-    name: num_head
+    name: custom_mask_type
     type: int64_t
   - annotation: null
-    dynamic_type: at::Tensor
+    default: false
+    dynamic_type: bool
     is_nullable: false
-    name: qkv_weight
-    type: const at::Tensor &
+    name: compute_log_sumexp
+    type: bool
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: seqlen_k
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    kwarg_only: true
+    name: window_size
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,c10::SymInt,c10::SymInt> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, ::std::optional<int64_t>, ::std::optional<int64_t>, double, int64_t, bool, ::std::optional<double>, const ::std::optional<at::Tensor> &, ::std::optional<int64_t>)
+  schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: qkv_bias
+    name: query
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: proj_weight
+    name: key
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: proj_bias
+    name: value
     type: const at::Tensor &
   - annotation: null
-    default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
-    name: mask
-    type: const c10::optional<at::Tensor> &
+    name: bias
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
-    default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
-    name: incr_key
-    type: const c10::optional<at::Tensor> &
+    name: cu_seqlens_q
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
-    default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
-    name: incr_value
-    type: const c10::optional<at::Tensor> &
+    name: cu_seqlens_k
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
-    default: true
-    dynamic_type: bool
+    dynamic_type: int64_t
+    is_nullable: true
+    name: max_seqlen_q
+    type: ::std::optional<int64_t>
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: true
+    name: max_seqlen_k
+    type: ::std::optional<int64_t>
+  - annotation: null
+    dynamic_type: double
     is_nullable: false
-    name: need_weights
-    type: bool
+    name: dropout_p
+    type: double
   - annotation: null
-    default: true
+    dynamic_type: int64_t
+    is_nullable: false
+    name: custom_mask_type
+    type: int64_t
+  - annotation: null
+    default: false
     dynamic_type: bool
     is_nullable: false
-    name: average_attn_weights
+    name: compute_log_sumexp
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, int64_t, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, bool, bool)
-  schema_order_arguments:
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: seqlen_k
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    kwarg_only: true
+    name: window_size
+    type: ::std::optional<int64_t>
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    field_name: output
+    name: output
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    field_name: logsumexp
+    name: logsumexp
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    field_name: philox_seed
+    name: philox_seed
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    field_name: philox_offset
+    name: philox_offset
+    type: at::Tensor
+  - dynamic_type: int64_t
+    field_name: max_seqlen_batch_q
+    name: max_seqlen_batch_q
+    type: c10::SymInt
+  - dynamic_type: int64_t
+    field_name: max_seqlen_batch_k
+    name: max_seqlen_batch_k
+    type: c10::SymInt
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _efficient_attention_backward
+  operator_name: _efficient_attention_backward
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_efficient_attention_backward(Tensor grad_out_, Tensor query, Tensor key, Tensor value, Tensor? bias, Tensor out, Tensor? cu_seqlens_q, Tensor? cu_seqlens_k, SymInt max_seqlen_q, SymInt max_seqlen_k, Tensor logsumexp, float dropout_p, Tensor philox_seed, Tensor philox_offset, int custom_mask_type, bool bias_requires_grad, *, float? scale=None, int? num_splits_key=None, int? window_size=None, bool shared_storage_dqdkdv=False) -> (Tensor, Tensor, Tensor, Tensor)
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: grad_out_
+    type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -153367,65 +161793,203 @@
     is_nullable: false
     name: value
     type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: cu_seqlens_q
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: cu_seqlens_k
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
-    name: embed_dim
+    name: max_seqlen_q
     type: int64_t
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
-    name: num_head
+    name: max_seqlen_k
     type: int64_t
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: qkv_weight
+    name: logsumexp
     type: const at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: dropout_p
+    type: double
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: qkv_bias
+    name: philox_seed
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: proj_weight
+    name: philox_offset
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: custom_mask_type
+    type: int64_t
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    name: bias_requires_grad
+    type: bool
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    kwarg_only: true
+    name: num_splits_key
+    type: ::std::optional<int64_t>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    kwarg_only: true
+    name: window_size
+    type: ::std::optional<int64_t>
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: shared_storage_dqdkdv
+    type: bool
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, int64_t, int64_t, const at::Tensor &, double, const at::Tensor &, const at::Tensor &, int64_t, bool, ::std::optional<double>, ::std::optional<int64_t>, ::std::optional<int64_t>, bool)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: grad_out_
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: proj_bias
+    name: query
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: key
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: value
     type: const at::Tensor &
   - annotation: null
-    default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
-    name: mask
-    type: const c10::optional<at::Tensor> &
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    type: const at::Tensor &
   - annotation: null
-    default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
-    name: incr_key
-    type: const c10::optional<at::Tensor> &
+    name: cu_seqlens_q
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
-    default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
-    name: incr_value
-    type: const c10::optional<at::Tensor> &
+    name: cu_seqlens_k
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: max_seqlen_q
+    type: int64_t
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: max_seqlen_k
+    type: int64_t
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: logsumexp
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: dropout_p
+    type: double
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: philox_seed
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: philox_offset
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: custom_mask_type
+    type: int64_t
   - annotation: null
-    default: true
     dynamic_type: bool
     is_nullable: false
-    name: need_weights
+    name: bias_requires_grad
     type: bool
   - annotation: null
-    default: true
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    kwarg_only: true
+    name: num_splits_key
+    type: ::std::optional<int64_t>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    kwarg_only: true
+    name: window_size
+    type: ::std::optional<int64_t>
+  - annotation: null
+    default: false
     dynamic_type: bool
     is_nullable: false
-    name: average_attn_weights
+    kwarg_only: true
+    name: shared_storage_dqdkdv
     type: bool
   method_of:
   - Type
@@ -153452,6 +162016,349 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: _triton_scaled_dot_attention
+  operator_name: _triton_scaled_dot_attention
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_triton_scaled_dot_attention(Tensor q, Tensor k, Tensor v, float dropout_p=0.0) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: q
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: k
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: v
+    type: const at::Tensor &
+  - annotation: null
+    default: 0.0
+    dynamic_type: double
+    is_nullable: false
+    name: dropout_p
+    type: double
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, double)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: q
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: k
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: v
+    type: const at::Tensor &
+  - annotation: null
+    default: 0.0
+    dynamic_type: double
+    is_nullable: false
+    name: dropout_p
+    type: double
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _fill_mem_eff_dropout_mask_
+  operator_name: _fill_mem_eff_dropout_mask_
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_fill_mem_eff_dropout_mask_(Tensor(a!) self, float dropout_p, int seed, int offset) -> Tensor(a!)
+  arguments:
+  - annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: dropout_p
+    type: double
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: seed
+    type: int64_t
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: offset
+    type: int64_t
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, double, int64_t, int64_t)
+  schema_order_arguments:
+  - annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: dropout_p
+    type: double
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: seed
+    type: int64_t
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: offset
+    type: int64_t
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: self
+    type: at::Tensor &
+  inplace: true
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _triton_multi_head_attention
+  operator_name: _triton_multi_head_attention
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_triton_multi_head_attention(Tensor query, Tensor key, Tensor value, int embed_dim, int num_head, Tensor qkv_weight, Tensor qkv_bias, Tensor proj_weight, Tensor proj_bias, Tensor? mask=None) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: query
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: key
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: value
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: embed_dim
+    type: int64_t
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: num_head
+    type: int64_t
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: qkv_weight
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: qkv_bias
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: proj_weight
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: proj_bias
+    type: const at::Tensor &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: mask
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, int64_t, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: query
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: key
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: value
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: embed_dim
+    type: int64_t
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: num_head
+    type: int64_t
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: qkv_weight
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: qkv_bias
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: proj_weight
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: proj_bias
+    type: const at::Tensor &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: mask
+    type: const ::std::optional<at::Tensor> &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: special_airy_ai
+  operator_name: special_airy_ai
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::special_airy_ai(Tensor x) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: x
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: x
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: special
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: special_airy_ai_out
+  operator_name: special_airy_ai
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::special_airy_ai.out(Tensor x, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: x
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: x
+    type: const at::Tensor &
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: special
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: special_bessel_j0
   operator_name: special_bessel_j0
   overload_name: ''
@@ -153873,11 +162780,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_chebyshev_polynomial_t
   operator_name: special_chebyshev_polynomial_t
   overload_name: n_scalar
@@ -153918,11 +162825,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_chebyshev_polynomial_t_out
   operator_name: special_chebyshev_polynomial_t
   overload_name: out
@@ -154036,11 +162943,11 @@
     type: at::Tensor &
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_chebyshev_polynomial_t_out
   operator_name: special_chebyshev_polynomial_t
   overload_name: n_scalar_out
@@ -154185,11 +163092,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_chebyshev_polynomial_u
   operator_name: special_chebyshev_polynomial_u
   overload_name: n_scalar
@@ -154230,11 +163137,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_chebyshev_polynomial_u_out
   operator_name: special_chebyshev_polynomial_u
   overload_name: out
@@ -154348,11 +163255,11 @@
     type: at::Tensor &
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_chebyshev_polynomial_u_out
   operator_name: special_chebyshev_polynomial_u
   overload_name: n_scalar_out
@@ -154497,11 +163404,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_chebyshev_polynomial_v
   operator_name: special_chebyshev_polynomial_v
   overload_name: n_scalar
@@ -154542,11 +163449,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_chebyshev_polynomial_v_out
   operator_name: special_chebyshev_polynomial_v
   overload_name: out
@@ -154660,11 +163567,11 @@
     type: at::Tensor &
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_chebyshev_polynomial_v_out
   operator_name: special_chebyshev_polynomial_v
   overload_name: n_scalar_out
@@ -154809,11 +163716,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_chebyshev_polynomial_w
   operator_name: special_chebyshev_polynomial_w
   overload_name: n_scalar
@@ -154854,11 +163761,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_chebyshev_polynomial_w_out
   operator_name: special_chebyshev_polynomial_w
   overload_name: out
@@ -154972,11 +163879,11 @@
     type: at::Tensor &
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_chebyshev_polynomial_w_out
   operator_name: special_chebyshev_polynomial_w
   overload_name: n_scalar_out
@@ -155121,11 +164028,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_hermite_polynomial_h
   operator_name: special_hermite_polynomial_h
   overload_name: n_scalar
@@ -155166,11 +164073,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_hermite_polynomial_h_out
   operator_name: special_hermite_polynomial_h
   overload_name: out
@@ -155284,11 +164191,11 @@
     type: at::Tensor &
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_hermite_polynomial_h_out
   operator_name: special_hermite_polynomial_h
   overload_name: n_scalar_out
@@ -155433,11 +164340,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_hermite_polynomial_he
   operator_name: special_hermite_polynomial_he
   overload_name: n_scalar
@@ -155478,11 +164385,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_hermite_polynomial_he_out
   operator_name: special_hermite_polynomial_he
   overload_name: out
@@ -155596,11 +164503,11 @@
     type: at::Tensor &
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_hermite_polynomial_he_out
   operator_name: special_hermite_polynomial_he
   overload_name: n_scalar_out
@@ -155745,11 +164652,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_laguerre_polynomial_l
   operator_name: special_laguerre_polynomial_l
   overload_name: n_scalar
@@ -155790,11 +164697,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_laguerre_polynomial_l_out
   operator_name: special_laguerre_polynomial_l
   overload_name: out
@@ -155908,11 +164815,11 @@
     type: at::Tensor &
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_laguerre_polynomial_l_out
   operator_name: special_laguerre_polynomial_l
   overload_name: n_scalar_out
@@ -156057,11 +164964,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_legendre_polynomial_p
   operator_name: special_legendre_polynomial_p
   overload_name: n_scalar
@@ -156102,11 +165009,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_legendre_polynomial_p_out
   operator_name: special_legendre_polynomial_p
   overload_name: out
@@ -156220,11 +165127,11 @@
     type: at::Tensor &
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_legendre_polynomial_p_out
   operator_name: special_legendre_polynomial_p
   overload_name: n_scalar_out
@@ -156873,11 +165780,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_shifted_chebyshev_polynomial_t
   operator_name: special_shifted_chebyshev_polynomial_t
   overload_name: n_scalar
@@ -156918,11 +165825,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_shifted_chebyshev_polynomial_t_out
   operator_name: special_shifted_chebyshev_polynomial_t
   overload_name: out
@@ -157036,11 +165943,11 @@
     type: at::Tensor &
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_shifted_chebyshev_polynomial_t_out
   operator_name: special_shifted_chebyshev_polynomial_t
   overload_name: n_scalar_out
@@ -157185,11 +166092,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_shifted_chebyshev_polynomial_u
   operator_name: special_shifted_chebyshev_polynomial_u
   overload_name: n_scalar
@@ -157230,11 +166137,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_shifted_chebyshev_polynomial_u_out
   operator_name: special_shifted_chebyshev_polynomial_u
   overload_name: out
@@ -157348,11 +166255,11 @@
     type: at::Tensor &
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_shifted_chebyshev_polynomial_u_out
   operator_name: special_shifted_chebyshev_polynomial_u
   overload_name: n_scalar_out
@@ -157497,11 +166404,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_shifted_chebyshev_polynomial_v
   operator_name: special_shifted_chebyshev_polynomial_v
   overload_name: n_scalar
@@ -157542,11 +166449,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_shifted_chebyshev_polynomial_v_out
   operator_name: special_shifted_chebyshev_polynomial_v
   overload_name: out
@@ -157660,11 +166567,11 @@
     type: at::Tensor &
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_shifted_chebyshev_polynomial_v_out
   operator_name: special_shifted_chebyshev_polynomial_v
   overload_name: n_scalar_out
@@ -157809,11 +166716,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_shifted_chebyshev_polynomial_w
   operator_name: special_shifted_chebyshev_polynomial_w
   overload_name: n_scalar
@@ -157854,11 +166761,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_shifted_chebyshev_polynomial_w_out
   operator_name: special_shifted_chebyshev_polynomial_w
   overload_name: out
@@ -157972,11 +166879,11 @@
     type: at::Tensor &
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_shifted_chebyshev_polynomial_w_out
   operator_name: special_shifted_chebyshev_polynomial_w
   overload_name: n_scalar_out
@@ -158278,15 +167185,15 @@
     is_nullable: true
     kwarg_only: true
     name: grad_scale
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: found_inf
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, double, double, double, double, double, bool, bool, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, double, double, double, double, double, bool, bool, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -158366,14 +167273,208 @@
     is_nullable: true
     kwarg_only: true
     name: grad_scale
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: true
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _fused_adam_
+  operator_name: _fused_adam_
+  overload_name: tensor_lr
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_fused_adam_.tensor_lr(Tensor(a!)[] self, Tensor(b!)[] grads, Tensor(c!)[] exp_avgs, Tensor(d!)[] exp_avg_sqs, Tensor(e!)[] max_exp_avg_sqs, Tensor[] state_steps, *, Tensor lr, float beta1, float beta2, float weight_decay, float eps, bool amsgrad, bool maximize, Tensor? grad_scale=None, Tensor? found_inf=None) -> ()
+  arguments:
+  - annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: b!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: c!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avgs
+    type: at::TensorList
+  - annotation: d!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avg_sqs
+    type: at::TensorList
+  - annotation: e!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: max_exp_avg_sqs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: state_steps
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta1
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta2
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: eps
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: amsgrad
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: maximize
+    type: bool
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, const at::Tensor &, double, double, double, double, bool, bool, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
+  schema_order_arguments:
+  - annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: b!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: c!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avgs
+    type: at::TensorList
+  - annotation: d!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avg_sqs
+    type: at::TensorList
+  - annotation: e!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: max_exp_avg_sqs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: state_steps
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta1
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta2
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: eps
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: amsgrad
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: maximize
+    type: bool
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: found_inf
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - namespace
@@ -158472,15 +167573,15 @@
     is_nullable: true
     kwarg_only: true
     name: grad_scale
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: found_inf
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, double, double, double, double, double, bool, bool, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, double, double, double, double, double, bool, bool, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -158560,14 +167661,14 @@
     is_nullable: true
     kwarg_only: true
     name: grad_scale
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: found_inf
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - namespace
@@ -158581,6 +167682,720 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: _fused_adamw_
+  operator_name: _fused_adamw_
+  overload_name: tensor_lr
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_fused_adamw_.tensor_lr(Tensor(a!)[] self, Tensor(b!)[] grads, Tensor(c!)[] exp_avgs, Tensor(d!)[] exp_avg_sqs, Tensor(e!)[] max_exp_avg_sqs, Tensor[] state_steps, *, Tensor lr, float beta1, float beta2, float weight_decay, float eps, bool amsgrad, bool maximize, Tensor? grad_scale=None, Tensor? found_inf=None) -> ()
+  arguments:
+  - annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: b!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: c!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avgs
+    type: at::TensorList
+  - annotation: d!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avg_sqs
+    type: at::TensorList
+  - annotation: e!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: max_exp_avg_sqs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: state_steps
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta1
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta2
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: eps
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: amsgrad
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: maximize
+    type: bool
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, const at::Tensor &, double, double, double, double, bool, bool, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
+  schema_order_arguments:
+  - annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: b!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: c!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avgs
+    type: at::TensorList
+  - annotation: d!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avg_sqs
+    type: at::TensorList
+  - annotation: e!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: max_exp_avg_sqs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: state_steps
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta1
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta2
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: eps
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: amsgrad
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: maximize
+    type: bool
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: true
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _fused_sgd_
+  operator_name: _fused_sgd_
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_fused_sgd_(Tensor(a!)[] self, Tensor(b!)[] grads, Tensor(c!)[] momentum_buffer_list, *, float weight_decay, float momentum, float lr, float dampening, bool nesterov, bool maximize, bool is_first_step, Tensor? grad_scale=None, Tensor? found_inf=None) -> ()
+  arguments:
+  - annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: b!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: c!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: momentum_buffer_list
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: momentum
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: dampening
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: nesterov
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: maximize
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: is_first_step
+    type: bool
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, double, double, double, double, bool, bool, bool, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
+  schema_order_arguments:
+  - annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: b!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: c!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: momentum_buffer_list
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: momentum
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: dampening
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: nesterov
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: maximize
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: is_first_step
+    type: bool
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: true
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _fused_sgd_
+  operator_name: _fused_sgd_
+  overload_name: tensor_lr
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_fused_sgd_.tensor_lr(Tensor(a!)[] self, Tensor(b!)[] grads, Tensor(c!)[] momentum_buffer_list, *, float weight_decay, float momentum, Tensor lr, float dampening, bool nesterov, bool maximize, bool is_first_step, Tensor? grad_scale=None, Tensor? found_inf=None) -> ()
+  arguments:
+  - annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: b!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: c!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: momentum_buffer_list
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: momentum
+    type: double
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: dampening
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: nesterov
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: maximize
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: is_first_step
+    type: bool
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, double, double, const at::Tensor &, double, bool, bool, bool, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
+  schema_order_arguments:
+  - annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: b!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: c!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: momentum_buffer_list
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: momentum
+    type: double
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: dampening
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: nesterov
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: maximize
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: is_first_step
+    type: bool
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: true
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _fused_adagrad_
+  operator_name: _fused_adagrad_
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_fused_adagrad_(Tensor(a!)[] self, Tensor(b!)[] grads, Tensor(c!)[] state_sums, Tensor(d!)[] state_steps, *, float lr, float lr_decay, float weight_decay, float eps, bool maximize, Tensor? grad_scale=None, Tensor? found_inf=None) -> ()
+  arguments:
+  - annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: b!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: c!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: state_sums
+    type: at::TensorList
+  - annotation: d!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: state_steps
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: lr_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: eps
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: maximize
+    type: bool
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, at::TensorList, double, double, double, double, bool, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
+  schema_order_arguments:
+  - annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: b!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: c!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: state_sums
+    type: at::TensorList
+  - annotation: d!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: state_steps
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: lr_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: eps
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: maximize
+    type: bool
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: true
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _propagate_xla_data
+  operator_name: _propagate_xla_data
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_propagate_xla_data(Tensor input, Tensor output) -> ()
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: output
+    type: const at::Tensor &
+  schema_order_cpp_signature: void (const at::Tensor &, const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: output
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: false
+  is_factory_method: false
+  abstract: false
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: true
 - name: _new_zeros_with_same_feature_meta_out
   operator_name: _new_zeros_with_same_feature_meta
   overload_name: out
@@ -158970,7 +168785,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight_buf
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -158980,7 +168795,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: cx
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -159030,8 +168845,8 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: dropout_state
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, at::TensorList, int64_t, const c10::optional<at::Tensor> &, const at::Tensor &, const c10::optional<at::Tensor> &, int64_t, int64_t, int64_t, int64_t, bool, double, bool, bool, at::IntArrayRef, const c10::optional<at::Tensor> &, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, at::TensorList, int64_t, const ::std::optional<at::Tensor> &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, int64_t, int64_t, int64_t, bool, double, bool, bool, at::IntArrayRef, const ::std::optional<at::Tensor> &, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -159052,7 +168867,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight_buf
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -159062,7 +168877,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: cx
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -159112,7 +168927,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: dropout_state
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -159240,7 +169055,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: cx
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -159250,17 +169065,17 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_output
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_hy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_cy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -159310,7 +169125,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: dropout_state
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -159321,7 +169136,7 @@
     is_nullable: false
     name: output_mask
     type: ::std::array<bool,4>
-  schema_order_cpp_signature: void (const at::Tensor &, at::TensorList, int64_t, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, int64_t, int64_t, int64_t, int64_t, bool, double, bool, bool, at::IntArrayRef, const c10::optional<at::Tensor> &, const at::Tensor &, ::std::array<bool,4>, at::Tensor &, at::Tensor &, at::Tensor &, at::TensorList)
+  schema_order_cpp_signature: void (const at::Tensor &, at::TensorList, int64_t, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, int64_t, int64_t, int64_t, int64_t, bool, double, bool, bool, at::IntArrayRef, const ::std::optional<at::Tensor> &, const at::Tensor &, ::std::array<bool,4>, at::Tensor &, at::Tensor &, at::Tensor &, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -159352,7 +169167,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: cx
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -159362,17 +169177,17 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_output
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_hy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_cy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -159422,7 +169237,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: dropout_state
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -159575,12 +169390,12 @@
     name: p
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, double, c10::optional<at::Generator>, at::Tensor &, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, double, ::std::optional<at::Generator>, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -159593,11 +169408,11 @@
     name: p
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -159735,8 +169550,8 @@
     dynamic_type: bool
     is_nullable: true
     name: train
-    type: c10::optional<bool>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, double, c10::optional<bool>, at::Tensor &, at::Tensor &)
+    type: ::std::optional<bool>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, double, ::std::optional<bool>, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -159752,7 +169567,7 @@
     dynamic_type: bool
     is_nullable: true
     name: train
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -160051,7 +169866,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::affine_grid_generator.out(Tensor theta, int[] size, bool align_corners, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::affine_grid_generator.out(Tensor theta, SymInt[] size, bool align_corners, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -160115,6 +169930,65 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: _test_functorch_fallback_out
+  operator_name: _test_functorch_fallback
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_test_functorch_fallback.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: other
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: other
+    type: const at::Tensor &
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: bartlett_window_out
   operator_name: bartlett_window
   overload_name: out
@@ -160246,12 +170120,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -160277,7 +170151,7 @@
     is_nullable: false
     name: output_zero_point
     type: int64_t
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, double, double, int64_t, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, double, double, int64_t, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -160288,12 +170162,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -160367,13 +170241,13 @@
     name: p
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -160386,12 +170260,12 @@
     name: p
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -160433,13 +170307,13 @@
     name: p
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -160452,12 +170326,12 @@
     name: p
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - namespace
@@ -160500,13 +170374,13 @@
     name: p
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, double, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, double, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -160520,12 +170394,12 @@
     name: p
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -160578,20 +170452,20 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: pos_weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
     is_nullable: false
     name: reduction
     type: int64_t
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, int64_t, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, int64_t, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -160608,13 +170482,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: pos_weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
@@ -160668,14 +170542,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 0
     dynamic_type: int64_t
     is_nullable: false
     name: minlength
     type: int64_t
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const c10::optional<at::Tensor> &, int64_t, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -160687,7 +170561,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 0
     dynamic_type: int64_t
@@ -160950,7 +170824,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::convolution.out(Tensor input, Tensor weight, Tensor? bias, int[] stride, SymInt[] padding, int[] dilation, bool transposed, SymInt[] output_padding, int groups, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::convolution.out(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -160973,7 +170847,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -161004,7 +170878,7 @@
     is_nullable: false
     name: groups
     type: int64_t
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, at::IntArrayRef, int64_t, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, at::IntArrayRef, int64_t, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -161020,7 +170894,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -161079,7 +170953,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::convolution_backward.out(Tensor grad_output, Tensor input, Tensor weight, SymInt[]? bias_sizes, int[] stride, SymInt[] padding, int[] dilation, bool transposed, SymInt[] output_padding, int groups, bool[3] output_mask, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!))
+  schema_string: aten::convolution_backward.out(Tensor grad_output, Tensor input, Tensor weight, SymInt[]? bias_sizes, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups, bool[3] output_mask, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!))
   arguments:
   - allocate: true
     annotation: a!
@@ -161262,7 +171136,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::convolution_overrideable.out(Tensor input, Tensor weight, Tensor? bias, int[] stride, int[] padding, int[] dilation, bool transposed, int[] output_padding, int groups, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::convolution_overrideable.out(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -161285,7 +171159,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -161316,7 +171190,7 @@
     is_nullable: false
     name: groups
     type: int64_t
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, at::IntArrayRef, int64_t, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, at::IntArrayRef, int64_t, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -161332,7 +171206,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -161391,7 +171265,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::convolution_backward_overrideable.out(Tensor grad_output, Tensor input, Tensor weight, int[] stride, int[] padding, int[] dilation, bool transposed, int[] output_padding, int groups, bool[3] output_mask, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!))
+  schema_string: aten::convolution_backward_overrideable.out(Tensor grad_output, Tensor input, Tensor weight, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups, bool[3] output_mask, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!))
   arguments:
   - allocate: true
     annotation: a!
@@ -161564,7 +171438,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_convolution.out(Tensor input, Tensor weight, Tensor? bias, int[] stride, SymInt[] padding, int[] dilation, bool transposed, SymInt[] output_padding, int groups, bool benchmark, bool deterministic, bool cudnn_enabled, bool allow_tf32, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::_convolution.out(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups, bool benchmark, bool deterministic, bool cudnn_enabled, bool allow_tf32, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -161587,7 +171461,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -161638,7 +171512,7 @@
     is_nullable: false
     name: allow_tf32
     type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, at::IntArrayRef, int64_t, bool, bool, bool, bool, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, at::IntArrayRef, int64_t, bool, bool, bool, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -161654,7 +171528,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -162089,12 +171963,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<int64_t>, at::Tensor &)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<int64_t>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -162102,11 +171976,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -162357,17 +172231,17 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -162383,7 +172257,7 @@
     is_nullable: false
     name: epsilon
     type: double
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, bool, double, double, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, bool, double, double, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -162399,17 +172273,17 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -162525,22 +172399,22 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: double
     is_nullable: false
@@ -162551,7 +172425,7 @@
     is_nullable: false
     name: reserveSpace
     type: const at::Tensor &
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, double, const at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, double, const at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -162572,22 +172446,22 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: double
     is_nullable: false
@@ -162641,141 +172515,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: cudnn_convolution_out
-  operator_name: cudnn_convolution
-  overload_name: out
-  manual_kernel_registration: false
-  category_override: ''
-  schema_string: aten::cudnn_convolution.out(Tensor self, Tensor weight, int[] padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic, bool allow_tf32, *, Tensor(a!) out) -> Tensor(a!)
-  arguments:
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: self
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: weight
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: padding
-    type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: stride
-    type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: dilation
-    type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: groups
-    type: int64_t
-  - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    name: benchmark
-    type: bool
-  - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    name: deterministic
-    type: bool
-  - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    name: allow_tf32
-    type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, bool, bool, bool, at::Tensor &)
-  schema_order_arguments:
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: self
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: weight
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: padding
-    type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: stride
-    type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: dilation
-    type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: groups
-    type: int64_t
-  - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    name: benchmark
-    type: bool
-  - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    name: deterministic
-    type: bool
-  - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    name: allow_tf32
-    type: bool
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
-  method_of:
-  - Type
-  - namespace
-  mode: native
-  python_module: ''
-  returns:
-  - dynamic_type: at::Tensor
-    name: out
-    type: at::Tensor &
-  inplace: false
-  is_factory_method: false
-  abstract: true
-  device_guard: false
-  with_gil: false
-  deprecated: false
-  has_math_kernel: false
 - name: cudnn_convolution_transpose_out
   operator_name: cudnn_convolution_transpose
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::cudnn_convolution_transpose.out(Tensor self, Tensor weight, int[] padding, int[] output_padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic, bool allow_tf32, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::cudnn_convolution_transpose.out(Tensor self, Tensor weight, SymInt[] padding, SymInt[] output_padding, SymInt[] stride, SymInt[] dilation, SymInt groups, bool benchmark, bool deterministic, bool allow_tf32, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -162914,7 +172659,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_mps_convolution_transpose.out(Tensor self, Tensor weight, int[] padding, int[] output_padding, int[] stride, int[] dilation, int groups, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::_mps_convolution_transpose.out(Tensor self, Tensor weight, SymInt[] padding, SymInt[] output_padding, SymInt[] stride, SymInt[] dilation, SymInt groups, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -163023,7 +172768,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::mps_convolution_transpose_backward.out(Tensor self, Tensor grad_output, Tensor weight, int[] padding, int[] output_padding, int[] stride, int[] dilation, int groups, bool[2] output_mask, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!))
+  schema_string: aten::mps_convolution_transpose_backward.out(Tensor self, Tensor grad_output, Tensor weight, SymInt[] padding, SymInt[] output_padding, SymInt[] stride, SymInt[] dilation, SymInt groups, bool[2] output_mask, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!))
   arguments:
   - allocate: true
     annotation: a!
@@ -163169,7 +172914,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::cudnn_convolution_relu.out(Tensor self, Tensor weight, Tensor? bias, int[] stride, int[] padding, int[] dilation, int groups, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::cudnn_convolution_relu.out(Tensor self, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, SymInt groups, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -163192,7 +172937,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -163213,7 +172958,7 @@
     is_nullable: false
     name: groups
     type: int64_t
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -163229,7 +172974,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -163278,7 +173023,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::cudnn_convolution_add_relu.out(Tensor self, Tensor weight, Tensor z, Scalar? alpha, Tensor? bias, int[] stride, int[] padding, int[] dilation, int groups, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::cudnn_convolution_add_relu.out(Tensor self, Tensor weight, Tensor z, Scalar? alpha, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, SymInt groups, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -163306,12 +173051,12 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: alpha
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -163332,7 +173077,7 @@
     is_nullable: false
     name: groups
     type: int64_t
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Scalar> &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Scalar> &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -163353,12 +173098,12 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: alpha
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -164180,8 +173925,8 @@
     is_nullable: true
     kwarg_only: true
     name: rounding_mode
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Scalar &, c10::optional<c10::string_view>, at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Scalar &, ::std::optional<c10::string_view>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -164198,7 +173943,7 @@
     is_nullable: true
     kwarg_only: true
     name: rounding_mode
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -164623,7 +174368,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: per_sample_weights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -164636,7 +174381,7 @@
     is_nullable: false
     name: padding_idx
     type: int64_t
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, bool, int64_t, bool, const c10::optional<at::Tensor> &, bool, int64_t, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, bool, int64_t, bool, const ::std::optional<at::Tensor> &, bool, int64_t, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -164676,7 +174421,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: per_sample_weights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -164815,7 +174560,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: per_sample_weights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -164828,7 +174573,7 @@
     is_nullable: false
     name: padding_idx
     type: int64_t
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, bool, int64_t, bool, const c10::optional<at::Tensor> &, bool, int64_t, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, bool, int64_t, bool, const ::std::optional<at::Tensor> &, bool, int64_t, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -164868,7 +174613,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: per_sample_weights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -164992,14 +174737,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: per_sample_weights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: -1
     dynamic_type: int64_t
     is_nullable: false
     name: padding_idx
     type: int64_t
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, bool, int64_t, const c10::optional<at::Tensor> &, int64_t, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, bool, int64_t, const ::std::optional<at::Tensor> &, int64_t, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -165045,7 +174790,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: per_sample_weights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -165210,15 +174955,15 @@
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, c10::optional<at::DimnameList>, c10::optional<at::MemoryFormat>, at::Tensor &)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, ::std::optional<at::DimnameList>, ::std::optional<at::MemoryFormat>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -165230,14 +174975,14 @@
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -165261,12 +175006,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: new_empty_out
-  operator_name: new_empty
+- name: empty_permuted_out
+  operator_name: empty_permuted
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::new_empty.out(Tensor self, SymInt[] size, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::empty_permuted.out(SymInt[] size, int[] physical_layout, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -165276,26 +175021,26 @@
     output: true
     type: at::Tensor &
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: at::IntArrayRef
     is_nullable: false
-    name: self
-    type: const at::Tensor &
+    name: size
+    type: at::IntArrayRef
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
-    name: size
+    name: physical_layout
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, at::IntArrayRef, at::Tensor &)
   schema_order_arguments:
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: at::IntArrayRef
     is_nullable: false
-    name: self
-    type: const at::Tensor &
+    name: size
+    type: at::IntArrayRef
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
-    name: size
+    name: physical_layout
     type: at::IntArrayRef
   - allocate: true
     annotation: a!
@@ -165320,12 +175065,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: new_empty_strided_out
-  operator_name: new_empty_strided
+- name: new_empty_out
+  operator_name: new_empty
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::new_empty_strided.out(Tensor self, SymInt[] size, SymInt[] stride, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::new_empty.out(Tensor self, SymInt[] size, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -165344,12 +175089,7 @@
     is_nullable: false
     name: size
     type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: stride
-    type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -165361,11 +175101,6 @@
     is_nullable: false
     name: size
     type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: stride
-    type: at::IntArrayRef
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -165389,12 +175124,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: new_full_out
-  operator_name: new_full
+- name: new_empty_strided_out
+  operator_name: new_empty_strided
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::new_full.out(Tensor self, SymInt[] size, Scalar fill_value, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::new_empty_strided.out(Tensor self, SymInt[] size, SymInt[] stride, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -165414,11 +175149,11 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::IntArrayRef
     is_nullable: false
-    name: fill_value
-    type: const at::Scalar &
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, const at::Scalar &, at::Tensor &)
+    name: stride
+    type: at::IntArrayRef
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -165431,10 +175166,10 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::IntArrayRef
     is_nullable: false
-    name: fill_value
-    type: const at::Scalar &
+    name: stride
+    type: at::IntArrayRef
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -165458,12 +175193,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: new_zeros_out
-  operator_name: new_zeros
+- name: new_full_out
+  operator_name: new_full
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::new_zeros.out(Tensor self, SymInt[] size, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::new_full.out(Tensor self, SymInt[] size, Scalar fill_value, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -165482,7 +175217,76 @@
     is_nullable: false
     name: size
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::Tensor &)
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: fill_value
+    type: const at::Scalar &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, const at::Scalar &, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: size
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: fill_value
+    type: const at::Scalar &
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: new_zeros_out
+  operator_name: new_zeros
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::new_zeros.out(Tensor self, SymInt[] size, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: size
+    type: at::IntArrayRef
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -165581,7 +175385,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_empty_affine_quantized.out(int[] size, *, float scale=1, int zero_point=0, MemoryFormat? memory_format=contiguous_format, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::_empty_affine_quantized.out(SymInt[] size, *, float scale=1, int zero_point=0, MemoryFormat? memory_format=contiguous_format, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -165610,13 +175414,13 @@
     name: zero_point
     type: int64_t
   - annotation: null
-    default: MemoryFormat::Contiguous
+    default: c10::MemoryFormat::Contiguous
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, double, int64_t, c10::optional<at::MemoryFormat>, at::Tensor &)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, double, int64_t, ::std::optional<at::MemoryFormat>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -165638,12 +175442,12 @@
     name: zero_point
     type: int64_t
   - annotation: null
-    default: MemoryFormat::Contiguous
+    default: c10::MemoryFormat::Contiguous
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -165672,7 +175476,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_empty_per_channel_affine_quantized.out(int[] size, *, Tensor scales, Tensor zero_points, int axis, MemoryFormat? memory_format=contiguous_format, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::_empty_per_channel_affine_quantized.out(SymInt[] size, *, Tensor scales, Tensor zero_points, int axis, MemoryFormat? memory_format=contiguous_format, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -165705,13 +175509,13 @@
     name: axis
     type: int64_t
   - annotation: null
-    default: MemoryFormat::Contiguous
+    default: c10::MemoryFormat::Contiguous
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, const at::Tensor &, const at::Tensor &, int64_t, c10::optional<at::MemoryFormat>, at::Tensor &)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, const at::Tensor &, const at::Tensor &, int64_t, ::std::optional<at::MemoryFormat>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -165737,12 +175541,12 @@
     name: axis
     type: int64_t
   - annotation: null
-    default: MemoryFormat::Contiguous
+    default: c10::MemoryFormat::Contiguous
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -165791,13 +175595,13 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: const at::Tensor & (const at::Tensor &, at::IntArrayRef, c10::optional<at::MemoryFormat>, const at::Tensor &)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: const at::Tensor & (const at::Tensor &, at::IntArrayRef, ::std::optional<at::MemoryFormat>, const at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -165810,12 +175614,12 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -165857,13 +175661,13 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, c10::optional<at::MemoryFormat>)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, ::std::optional<at::MemoryFormat>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -165876,12 +175680,12 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   method_of:
   - Type
   - namespace
@@ -165903,7 +175707,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_resize_output.out(Tensor self, int[] size, Device device, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::_resize_output.out(Tensor self, SymInt[] size, Device device, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -165972,7 +175776,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_resize_output(Tensor self, int[] size, Device device) -> Tensor
+  schema_string: aten::_resize_output(Tensor self, SymInt[] size, Device device) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -166047,13 +175851,13 @@
     name: qtensor
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, const at::Tensor &, c10::optional<at::MemoryFormat>, at::Tensor &)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, const at::Tensor &, ::std::optional<at::MemoryFormat>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -166066,12 +175870,12 @@
     name: qtensor
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -166115,13 +175919,13 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<at::MemoryFormat>, at::Tensor &)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<at::MemoryFormat>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -166129,12 +175933,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -166335,6 +176139,65 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: floor_divide_out
+  operator_name: floor_divide
+  overload_name: Scalar_out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::floor_divide.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: other
+    type: const at::Scalar &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Scalar &, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: other
+    type: const at::Scalar &
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: full_out
   operator_name: full
   overload_name: names_out
@@ -166364,8 +176227,8 @@
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
-  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, const at::Scalar &, c10::optional<at::DimnameList>, at::Tensor &)
+    type: ::std::optional<at::DimnameList>
+  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, const at::Scalar &, ::std::optional<at::DimnameList>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -166382,7 +176245,7 @@
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -166431,13 +176294,13 @@
     name: fill_value
     type: const at::Scalar &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Scalar &, c10::optional<at::MemoryFormat>, at::Tensor &)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Scalar &, ::std::optional<at::MemoryFormat>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -166450,12 +176313,12 @@
     name: fill_value
     type: const at::Scalar &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -166499,18 +176362,18 @@
     name: filename
     type: c10::string_view
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     name: shared
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
     default: 0
     dynamic_type: int64_t
     is_nullable: true
     name: size
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor & (c10::string_view, c10::optional<bool>, c10::optional<int64_t>, at::Tensor &)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor & (c10::string_view, ::std::optional<bool>, ::std::optional<int64_t>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: c10::string_view
@@ -166518,17 +176381,17 @@
     name: filename
     type: c10::string_view
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     name: shared
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
     default: 0
     dynamic_type: int64_t
     is_nullable: true
     name: size
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -167649,12 +177512,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -167680,7 +177543,7 @@
     is_nullable: false
     name: eps
     type: double
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, int64_t, int64_t, int64_t, int64_t, double, at::Tensor &, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, int64_t, int64_t, int64_t, int64_t, double, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -167691,12 +177554,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -167817,7 +177680,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -167843,7 +177706,7 @@
     is_nullable: false
     name: output_mask
     type: ::std::array<bool,3>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, int64_t, int64_t, int64_t, int64_t, ::std::array<bool,3>, at::Tensor &, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, int64_t, int64_t, int64_t, ::std::array<bool,3>, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -167869,7 +177732,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -167958,10 +177821,10 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: const c10::List<c10::optional<at::Tensor>> &
+    dynamic_type: const c10::List<::std::optional<at::Tensor>> &
     is_nullable: true
     name: indices
-    type: const c10::List<c10::optional<at::Tensor>> &
+    type: const c10::List<::std::optional<at::Tensor>> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -167973,7 +177836,7 @@
     is_nullable: false
     name: accumulate
     type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const c10::List<c10::optional<at::Tensor>> &, const at::Tensor &, bool, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const c10::List<::std::optional<at::Tensor>> &, const at::Tensor &, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -167981,10 +177844,10 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: const c10::List<c10::optional<at::Tensor>> &
+    dynamic_type: const c10::List<::std::optional<at::Tensor>> &
     is_nullable: true
     name: indices
-    type: const c10::List<c10::optional<at::Tensor>> &
+    type: const c10::List<::std::optional<at::Tensor>> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -168039,10 +177902,10 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: const c10::List<c10::optional<at::Tensor>> &
+    dynamic_type: const c10::List<::std::optional<at::Tensor>> &
     is_nullable: true
     name: indices
-    type: const c10::List<c10::optional<at::Tensor>> &
+    type: const c10::List<::std::optional<at::Tensor>> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -168060,7 +177923,7 @@
     is_nullable: false
     name: unsafe
     type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const c10::List<c10::optional<at::Tensor>> &, const at::Tensor &, bool, bool, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const c10::List<::std::optional<at::Tensor>> &, const at::Tensor &, bool, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -168068,10 +177931,10 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: const c10::List<c10::optional<at::Tensor>> &
+    dynamic_type: const c10::List<::std::optional<at::Tensor>> &
     is_nullable: true
     name: indices
-    type: const c10::List<c10::optional<at::Tensor>> &
+    type: const c10::List<::std::optional<at::Tensor>> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -168125,10 +177988,10 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: const c10::List<c10::optional<at::Tensor>> &
+    dynamic_type: const c10::List<::std::optional<at::Tensor>> &
     is_nullable: true
     name: indices
-    type: const c10::List<c10::optional<at::Tensor>> &
+    type: const c10::List<::std::optional<at::Tensor>> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -168146,7 +178009,7 @@
     is_nullable: false
     name: unsafe
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::List<c10::optional<at::Tensor>> &, const at::Tensor &, bool, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::List<::std::optional<at::Tensor>> &, const at::Tensor &, bool, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -168154,10 +178017,10 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: const c10::List<c10::optional<at::Tensor>> &
+    dynamic_type: const c10::List<::std::optional<at::Tensor>> &
     is_nullable: true
     name: indices
-    type: const c10::List<c10::optional<at::Tensor>> &
+    type: const c10::List<::std::optional<at::Tensor>> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -168282,18 +178145,18 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: double
     is_nullable: false
     name: eps
     type: double
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, at::IntArrayRef, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, double, at::Tensor &, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, at::IntArrayRef, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, double, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -168309,12 +178172,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: double
     is_nullable: false
@@ -168420,18 +178283,18 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: ::std::array<bool,3>
     is_nullable: false
     name: output_mask
     type: ::std::array<bool,3>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, ::std::array<bool,3>, at::Tensor &, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, ::std::array<bool,3>, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -168462,12 +178325,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: ::std::array<bool,3>
     is_nullable: false
@@ -168658,8 +178521,8 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::Tensor &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -168676,7 +178539,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -170083,12 +179946,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: median_out
-  operator_name: median
+- name: quantized_max_pool3d_out
+  operator_name: quantized_max_pool3d
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::median.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::quantized_max_pool3d.out(Tensor self, int[3] kernel_size, int[3] stride=[], int[3] padding=0, int[3] dilation=1, bool ceil_mode=False, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -170102,13 +179965,79 @@
     is_nullable: false
     name: self
     type: const at::Tensor &
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::Tensor &)
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: kernel_size
+    size: 3
+    type: at::IntArrayRef
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: stride
+    size: 3
+    type: at::IntArrayRef
+  - annotation: null
+    default: 0
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: padding
+    size: 3
+    type: at::IntArrayRef
+  - annotation: null
+    default: 1
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: dilation
+    size: 3
+    type: at::IntArrayRef
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: ceil_mode
+    type: bool
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
     name: self
     type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: kernel_size
+    size: 3
+    type: at::IntArrayRef
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: stride
+    size: 3
+    type: at::IntArrayRef
+  - annotation: null
+    default: 0
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: padding
+    size: 3
+    type: at::IntArrayRef
+  - annotation: null
+    default: 1
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: dilation
+    size: 3
+    type: at::IntArrayRef
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: ceil_mode
+    type: bool
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -170132,12 +180061,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: nanmedian_out
-  operator_name: nanmedian
+- name: median_out
+  operator_name: median
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::nanmedian.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::median.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -170181,12 +180110,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _mps_convolution_out
-  operator_name: _mps_convolution
+- name: nanmedian_out
+  operator_name: nanmedian
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_mps_convolution.out(Tensor self, Tensor weight, Tensor? bias, int[] padding, int[] stride, int[] dilation, int groups, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::nanmedian.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -170200,73 +180129,122 @@
     is_nullable: false
     name: self
     type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: weight
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: true
-    name: bias
-    type: const c10::optional<at::Tensor> &
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: padding
-    type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: stride
-    type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: dilation
-    type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: groups
-    type: int64_t
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
     name: self
     type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: weight
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: true
-    name: bias
-    type: const c10::optional<at::Tensor> &
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: padding
-    type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: stride
-    type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: dilation
-    type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: groups
-    type: int64_t
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _mps_convolution_out
+  operator_name: _mps_convolution
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_mps_convolution.out(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, SymInt[] stride, SymInt[] dilation, SymInt groups, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: weight
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: padding
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: stride
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: dilation
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: groups
+    type: int64_t
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: weight
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: padding
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: stride
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: dilation
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: groups
+    type: int64_t
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -170295,7 +180273,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::mps_convolution_backward.out(Tensor self, Tensor grad_output, Tensor weight, int[] padding, int[] stride, int[] dilation, int groups, bool[3] output_mask, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!))
+  schema_string: aten::mps_convolution_backward.out(Tensor self, Tensor grad_output, Tensor weight, SymInt[] padding, SymInt[] stride, SymInt[] dilation, SymInt groups, bool[3] output_mask, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!))
   arguments:
   - allocate: true
     annotation: a!
@@ -170448,7 +180426,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::mkldnn_convolution.out(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, int[] stride, int[] dilation, int groups, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::mkldnn_convolution.out(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, SymInt[] stride, SymInt[] dilation, SymInt groups, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -170471,7 +180449,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -170492,7 +180470,7 @@
     is_nullable: false
     name: groups
     type: int64_t
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -170508,7 +180486,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -170912,17 +180890,17 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_output
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_hy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_cy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -170973,7 +180951,7 @@
     is_nullable: false
     name: workspace
     type: const at::Tensor &
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, bool, int64_t, int64_t, int64_t, bool, bool, bool, at::IntArrayRef, bool, const at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, bool, int64_t, int64_t, int64_t, bool, bool, bool, at::IntArrayRef, bool, const at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -171029,17 +181007,17 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_output
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_hy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_cy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -171215,17 +181193,17 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -171241,7 +181219,7 @@
     is_nullable: false
     name: epsilon
     type: double
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, bool, double, double, at::Tensor &, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, bool, double, double, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -171257,17 +181235,17 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -171373,28 +181351,28 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: double
     is_nullable: false
     name: epsilon
     type: double
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, double, at::Tensor &, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, double, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -171415,22 +181393,22 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: double
     is_nullable: false
@@ -171484,7 +181462,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::miopen_convolution.out(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::miopen_convolution.out(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, SymInt[] stride, SymInt[] dilation, SymInt groups, bool benchmark, bool deterministic, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -171507,7 +181485,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -171538,7 +181516,7 @@
     is_nullable: false
     name: deterministic
     type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, bool, bool, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, bool, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -171554,7 +181532,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -171613,7 +181591,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::miopen_convolution_transpose.out(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, SymInt[] output_padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::miopen_convolution_transpose.out(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, SymInt[] output_padding, SymInt[] stride, SymInt[] dilation, SymInt groups, bool benchmark, bool deterministic, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -171636,7 +181614,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -171672,7 +181650,7 @@
     is_nullable: false
     name: deterministic
     type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, bool, bool, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, bool, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -171688,7 +181666,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -171752,7 +181730,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::miopen_depthwise_convolution.out(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::miopen_depthwise_convolution.out(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, SymInt[] stride, SymInt[] dilation, SymInt groups, bool benchmark, bool deterministic, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -171775,7 +181753,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -171806,7 +181784,7 @@
     is_nullable: false
     name: deterministic
     type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, bool, bool, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, bool, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -171822,7 +181800,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -171942,7 +181920,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: cx
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -171987,8 +181965,8 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: dropout_state
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, at::TensorList, int64_t, const at::Tensor &, const c10::optional<at::Tensor> &, int64_t, int64_t, int64_t, bool, double, bool, bool, at::IntArrayRef, const c10::optional<at::Tensor> &, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, at::TensorList, int64_t, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, int64_t, int64_t, bool, double, bool, bool, at::IntArrayRef, const ::std::optional<at::Tensor> &, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -172014,7 +181992,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: cx
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -172059,7 +182037,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: dropout_state
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -172187,7 +182165,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: cx
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -172197,17 +182175,17 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_output
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_hy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_cy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -172252,7 +182230,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: dropout_state
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -172263,7 +182241,7 @@
     is_nullable: false
     name: output_mask
     type: ::std::array<bool,4>
-  schema_order_cpp_signature: void (const at::Tensor &, at::TensorList, int64_t, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, int64_t, int64_t, int64_t, bool, double, bool, bool, at::IntArrayRef, const c10::optional<at::Tensor> &, const at::Tensor &, ::std::array<bool,4>, at::Tensor &, at::Tensor &, at::Tensor &, at::TensorList)
+  schema_order_cpp_signature: void (const at::Tensor &, at::TensorList, int64_t, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, int64_t, int64_t, int64_t, bool, double, bool, bool, at::IntArrayRef, const ::std::optional<at::Tensor> &, const at::Tensor &, ::std::array<bool,4>, at::Tensor &, at::Tensor &, at::Tensor &, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -172294,7 +182272,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: cx
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -172304,17 +182282,17 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_output
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_hy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_cy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -172359,7 +182337,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: dropout_state
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -172545,12 +182523,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -172576,7 +182554,7 @@
     is_nullable: false
     name: eps
     type: double
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, bool, double, double)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, bool, double, double)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -172587,12 +182565,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -172648,12 +182626,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: batch_norm_stats_out
-  operator_name: batch_norm_stats
+- name: _native_batch_norm_legit_no_training_out
+  operator_name: _native_batch_norm_legit_no_training
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::batch_norm_stats.out(Tensor input, float eps, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!))
+  schema_string: aten::_native_batch_norm_legit_no_training.out(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!))
   arguments:
   - allocate: true
     annotation: a!
@@ -172669,23 +182647,80 @@
     name: out1
     output: true
     type: at::Tensor &
+  - allocate: true
+    annotation: c!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out2
+    output: true
+    type: at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
     name: input
     type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: weight
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: running_mean
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: running_var
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: momentum
+    type: double
   - annotation: null
     dynamic_type: double
     is_nullable: false
     name: eps
     type: double
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, double, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, double, double, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
     name: input
     type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: weight
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: running_mean
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: running_var
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: momentum
+    type: double
   - annotation: null
     dynamic_type: double
     is_nullable: false
@@ -172705,6 +182740,13 @@
     name: out1
     output: true
     type: at::Tensor &
+  - allocate: true
+    annotation: c!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out2
+    output: true
+    type: at::Tensor &
   method_of:
   - Type
   - namespace
@@ -172717,6 +182759,9 @@
   - dynamic_type: at::Tensor
     name: out1
     type: at::Tensor &
+  - dynamic_type: at::Tensor
+    name: out2
+    type: at::Tensor &
   inplace: false
   is_factory_method: false
   abstract: true
@@ -172724,12 +182769,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: batch_norm_gather_stats_out
-  operator_name: batch_norm_gather_stats
+- name: batch_norm_stats_out
+  operator_name: batch_norm_stats
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::batch_norm_gather_stats.out(Tensor input, Tensor mean, Tensor invstd, Tensor? running_mean, Tensor? running_var, float momentum, float eps, int count, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!))
+  schema_string: aten::batch_norm_stats.out(Tensor input, float eps, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!))
   arguments:
   - allocate: true
     annotation: a!
@@ -172751,42 +182796,76 @@
     name: input
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: double
     is_nullable: false
-    name: mean
-    type: const at::Tensor &
+    name: eps
+    type: double
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, double, at::Tensor &, at::Tensor &)
+  schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: invstd
+    name: input
     type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: true
-    name: running_mean
-    type: const c10::optional<at::Tensor> &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: true
-    name: running_var
-    type: const c10::optional<at::Tensor> &
-  - annotation: null
-    dynamic_type: double
-    is_nullable: false
-    name: momentum
-    type: double
   - annotation: null
     dynamic_type: double
     is_nullable: false
     name: eps
     type: double
-  - annotation: null
-    dynamic_type: int64_t
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
     is_nullable: false
-    name: count
-    type: int64_t
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, double, double, int64_t, at::Tensor &, at::Tensor &)
-  schema_order_arguments:
+    name: out0
+    output: true
+    type: at::Tensor &
+  - allocate: true
+    annotation: b!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out1
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out0
+    type: at::Tensor &
+  - dynamic_type: at::Tensor
+    name: out1
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: batch_norm_gather_stats_out
+  operator_name: batch_norm_gather_stats
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::batch_norm_gather_stats.out(Tensor input, Tensor mean, Tensor invstd, Tensor? running_mean, Tensor? running_var, float momentum, float eps, int count, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!))
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out0
+    output: true
+    type: at::Tensor &
+  - allocate: true
+    annotation: b!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out1
+    output: true
+    type: at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -172806,12 +182885,54 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: momentum
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: eps
+    type: double
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: count
+    type: int64_t
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, double, double, int64_t, at::Tensor &, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mean
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: invstd
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: running_mean
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: running_var
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: double
     is_nullable: false
@@ -172900,12 +183021,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: double
     is_nullable: false
@@ -172921,7 +183042,7 @@
     is_nullable: false
     name: counts
     type: const at::Tensor &
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, double, double, const at::Tensor &, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, double, double, const at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -172942,12 +183063,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: double
     is_nullable: false
@@ -173038,27 +183159,27 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_invstd
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -173074,7 +183195,7 @@
     is_nullable: false
     name: output_mask
     type: ::std::array<bool,3>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, bool, double, ::std::array<bool,3>, at::Tensor &, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, bool, double, ::std::array<bool,3>, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -173090,27 +183211,27 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_invstd
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -173228,7 +183349,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -173244,7 +183365,7 @@
     is_nullable: false
     name: bias_g
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, bool, bool, bool, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, bool, bool, bool, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -173270,7 +183391,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -173344,7 +183465,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::batch_norm_backward_elemt.out(Tensor grad_out, Tensor input, Tensor mean, Tensor invstd, Tensor? weight, Tensor mean_dy, Tensor mean_dy_xmu, Tensor count, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::batch_norm_backward_elemt.out(Tensor grad_out, Tensor input, Tensor mean, Tensor invstd, Tensor? weight, Tensor sum_dy, Tensor sum_dy_xmu, Tensor count, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -173377,23 +183498,23 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: mean_dy
+    name: sum_dy
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: mean_dy_xmu
+    name: sum_dy_xmu
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
     name: count
     type: const at::Tensor &
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, const at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, const at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -173419,16 +183540,16 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: mean_dy
+    name: sum_dy
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: mean_dy_xmu
+    name: sum_dy_xmu
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
@@ -173488,18 +183609,18 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: double
     is_nullable: false
     name: momentum
     type: double
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, double, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, double, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -173510,12 +183631,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: double
     is_nullable: false
@@ -173559,7 +183680,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_nnpack_spatial_convolution.out(Tensor input, Tensor weight, Tensor? bias, SymInt[2] padding, int[2] stride=1, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::_nnpack_spatial_convolution.out(Tensor input, Tensor weight, Tensor? bias, SymInt[2] padding, SymInt[2] stride=1, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -173582,7 +183703,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -173596,7 +183717,7 @@
     name: stride
     size: 2
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -173612,7 +183733,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -173673,8 +183794,8 @@
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
-  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, c10::optional<at::DimnameList>, at::Tensor &)
+    type: ::std::optional<at::DimnameList>
+  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, ::std::optional<at::DimnameList>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -173686,7 +183807,7 @@
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -173730,13 +183851,13 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<at::MemoryFormat>, at::Tensor &)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<at::MemoryFormat>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -173744,12 +183865,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -173865,8 +183986,8 @@
     dynamic_type: int64_t
     is_nullable: true
     name: compute_mode
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, double, c10::optional<int64_t>, at::Tensor &)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, double, ::std::optional<int64_t>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -173887,7 +184008,7 @@
     dynamic_type: int64_t
     is_nullable: true
     name: compute_mode
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -174263,7 +184384,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::channel_shuffle.out(Tensor self, int groups, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::channel_shuffle.out(Tensor self, SymInt groups, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -174337,12 +184458,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     name: device
-    type: c10::optional<at::Device>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<at::Device>, at::Tensor &)
+    type: ::std::optional<at::Device>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<at::Device>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -174350,11 +184471,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -174451,8 +184572,8 @@
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
-  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, c10::optional<at::DimnameList>, at::Tensor &)
+    type: ::std::optional<at::DimnameList>
+  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, ::std::optional<at::DimnameList>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -174464,7 +184585,7 @@
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -174512,14 +184633,14 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - annotation: null
     dynamic_type: at::DimnameList
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
-  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, c10::optional<at::Generator>, c10::optional<at::DimnameList>, at::Tensor &)
+    type: ::std::optional<at::DimnameList>
+  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, ::std::optional<at::Generator>, ::std::optional<at::DimnameList>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -174531,13 +184652,13 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - annotation: null
     dynamic_type: at::DimnameList
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -174581,13 +184702,13 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<at::MemoryFormat>, at::Tensor &)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<at::MemoryFormat>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -174595,12 +184716,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -174629,7 +184750,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::randint_like.out(Tensor self, int high, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::randint_like.out(Tensor self, SymInt high, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -174649,13 +184770,13 @@
     name: high
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, c10::optional<at::MemoryFormat>, at::Tensor &)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, ::std::optional<at::MemoryFormat>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -174668,12 +184789,12 @@
     name: high
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -174702,7 +184823,7 @@
   overload_name: low_dtype_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::randint_like.low_dtype_out(Tensor self, int low, int high, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::randint_like.low_dtype_out(Tensor self, SymInt low, SymInt high, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -174727,13 +184848,13 @@
     name: high
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, int64_t, c10::optional<at::MemoryFormat>, at::Tensor &)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, int64_t, ::std::optional<at::MemoryFormat>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -174751,12 +184872,12 @@
     name: high
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -174804,8 +184925,8 @@
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
-  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, c10::optional<at::DimnameList>, at::Tensor &)
+    type: ::std::optional<at::DimnameList>
+  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, ::std::optional<at::DimnameList>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -174817,7 +184938,7 @@
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -174865,14 +184986,14 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - annotation: null
     dynamic_type: at::DimnameList
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
-  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, c10::optional<at::Generator>, c10::optional<at::DimnameList>, at::Tensor &)
+    type: ::std::optional<at::DimnameList>
+  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, ::std::optional<at::Generator>, ::std::optional<at::DimnameList>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -174884,13 +185005,13 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - annotation: null
     dynamic_type: at::DimnameList
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -174934,13 +185055,13 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<at::MemoryFormat>, at::Tensor &)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<at::MemoryFormat>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -174948,12 +185069,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -175041,7 +185162,7 @@
   overload_name: Tensor_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::repeat_interleave.Tensor_out(Tensor repeats, *, int? output_size=None, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::repeat_interleave.Tensor_out(Tensor repeats, *, SymInt? output_size=None, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -175056,13 +185177,13 @@
     name: repeats
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     kwarg_only: true
     name: output_size
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<int64_t>, at::Tensor &)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<int64_t>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -175070,12 +185191,12 @@
     name: repeats
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     kwarg_only: true
     name: output_size
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -175477,24 +185598,24 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: start
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: end
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: 1
     dynamic_type: int64_t
     is_nullable: false
     name: step
     type: int64_t
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, int64_t, c10::optional<int64_t>, c10::optional<int64_t>, int64_t, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, int64_t, ::std::optional<int64_t>, ::std::optional<int64_t>, int64_t, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -175513,17 +185634,17 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: start
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: end
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: 1
     dynamic_type: int64_t
@@ -175762,12 +185883,12 @@
     name: stride
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: storage_offset
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, c10::optional<int64_t>, at::Tensor &)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, ::std::optional<int64_t>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -175790,11 +185911,11 @@
     name: stride
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: storage_offset
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -175974,13 +186095,13 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<at::ScalarType>, at::Tensor &)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<at::ScalarType>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -175988,12 +186109,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -176022,7 +186143,7 @@
   overload_name: correction_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::std_mean.correction_out(Tensor self, int[1]? dim=None, *, int? correction=None, bool keepdim=False, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!))
+  schema_string: aten::std_mean.correction_out(Tensor self, int[1]? dim=None, *, Scalar? correction=None, bool keepdim=False, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!))
   arguments:
   - allocate: true
     annotation: a!
@@ -176044,19 +186165,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -176064,7 +186185,7 @@
     kwarg_only: true
     name: keepdim
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, at::OptionalIntArrayRef, c10::optional<int64_t>, bool, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, at::OptionalIntArrayRef, const ::std::optional<at::Scalar> &, bool, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -176072,19 +186193,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -176145,13 +186266,13 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<at::ScalarType>, at::Tensor &)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<at::ScalarType>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -176159,12 +186280,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -176321,7 +186442,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::roll.out(Tensor self, int[1] shifts, int[1] dims=[], *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::roll.out(Tensor self, SymInt[1] shifts, int[1] dims=[], *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -176807,6 +186928,55 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: _nested_tensor_storage_offsets_out
+  operator_name: _nested_tensor_storage_offsets
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_nested_tensor_storage_offsets.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: _nested_from_padded_and_nested_example_out
   operator_name: _nested_from_padded_and_nested_example
   overload_name: out
@@ -176871,7 +187041,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_nested_view_from_buffer_copy.out(Tensor self, Tensor nested_size, Tensor nested_strides, int[] offsets, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::_nested_view_from_buffer_copy.out(Tensor self, Tensor nested_size, Tensor nested_strides, Tensor offsets, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -176896,11 +187066,11 @@
     name: nested_strides
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::IntArrayRef
+    dynamic_type: at::Tensor
     is_nullable: false
     name: offsets
-    type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::Tensor &)
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -176918,131 +187088,297 @@
     name: nested_strides
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::IntArrayRef
+    dynamic_type: at::Tensor
     is_nullable: false
     name: offsets
+    type: const at::Tensor &
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _nested_view_from_jagged_copy_out
+  operator_name: _nested_view_from_jagged_copy
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_nested_view_from_jagged_copy.out(Tensor self, Tensor offsets, Tensor dummy, Tensor? lengths=None, int ragged_idx=1, Tensor? min_seqlen=None, Tensor? max_seqlen=None, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: offsets
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: dummy
+    type: const at::Tensor &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: lengths
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: 1
+    dynamic_type: int64_t
+    is_nullable: false
+    name: ragged_idx
+    type: int64_t
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: min_seqlen
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: max_seqlen
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: offsets
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: dummy
+    type: const at::Tensor &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: lengths
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: 1
+    dynamic_type: int64_t
+    is_nullable: false
+    name: ragged_idx
+    type: int64_t
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: min_seqlen
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: max_seqlen
+    type: const ::std::optional<at::Tensor> &
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _nested_get_values_copy_out
+  operator_name: _nested_get_values_copy
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_nested_get_values_copy.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _trilinear_out
+  operator_name: _trilinear
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_trilinear.out(Tensor i1, Tensor i2, Tensor i3, int[] expand1, int[] expand2, int[] expand3, int[] sumdim, int unroll_dim=1, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: i1
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: i2
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: i3
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: expand1
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: expand2
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: expand3
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: sumdim
+    type: at::IntArrayRef
+  - annotation: null
+    default: 1
+    dynamic_type: int64_t
+    is_nullable: false
+    name: unroll_dim
+    type: int64_t
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: i1
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: i2
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: i3
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: expand1
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: expand2
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: expand3
     type: at::IntArrayRef
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
-  method_of:
-  - Type
-  - namespace
-  mode: native
-  python_module: ''
-  returns:
-  - dynamic_type: at::Tensor
-    name: out
-    type: at::Tensor &
-  inplace: false
-  is_factory_method: false
-  abstract: true
-  device_guard: false
-  with_gil: false
-  deprecated: false
-  has_math_kernel: false
-- name: _trilinear_out
-  operator_name: _trilinear
-  overload_name: out
-  manual_kernel_registration: false
-  category_override: ''
-  schema_string: aten::_trilinear.out(Tensor i1, Tensor i2, Tensor i3, int[] expand1, int[] expand2, int[] expand3, int[] sumdim, int unroll_dim=1, *, Tensor(a!) out) -> Tensor(a!)
-  arguments:
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: i1
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: i2
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: i3
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: expand1
-    type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: expand2
-    type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: expand3
-    type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: sumdim
-    type: at::IntArrayRef
-  - annotation: null
-    default: 1
-    dynamic_type: int64_t
-    is_nullable: false
-    name: unroll_dim
-    type: int64_t
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, at::Tensor &)
-  schema_order_arguments:
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: i1
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: i2
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: i3
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: expand1
-    type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: expand2
-    type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: expand3
-    type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: sumdim
-    type: at::IntArrayRef
-  - annotation: null
-    default: 1
-    dynamic_type: int64_t
-    is_nullable: false
-    name: unroll_dim
-    type: int64_t
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: sumdim
+    type: at::IntArrayRef
+  - annotation: null
+    default: 1
+    dynamic_type: int64_t
+    is_nullable: false
+    name: unroll_dim
+    type: int64_t
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -177331,12 +187667,12 @@
     name: return_counts
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, bool, bool, c10::optional<int64_t>, at::Tensor &, at::Tensor &, at::Tensor &)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, bool, bool, ::std::optional<int64_t>, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -177356,11 +187692,11 @@
     name: return_counts
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -177704,7 +188040,7 @@
   overload_name: correction_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::var_mean.correction_out(Tensor self, int[1]? dim=None, *, int? correction=None, bool keepdim=False, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!))
+  schema_string: aten::var_mean.correction_out(Tensor self, int[1]? dim=None, *, Scalar? correction=None, bool keepdim=False, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!))
   arguments:
   - allocate: true
     annotation: a!
@@ -177726,19 +188062,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -177746,7 +188082,7 @@
     kwarg_only: true
     name: keepdim
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, at::OptionalIntArrayRef, c10::optional<int64_t>, bool, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, at::OptionalIntArrayRef, const ::std::optional<at::Scalar> &, bool, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -177754,19 +188090,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -178025,8 +188361,8 @@
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
-  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, c10::optional<at::DimnameList>, at::Tensor &)
+    type: ::std::optional<at::DimnameList>
+  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, ::std::optional<at::DimnameList>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -178038,7 +188374,7 @@
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -178067,7 +188403,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_efficientzerotensor.out(int[] size, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::_efficientzerotensor.out(SymInt[] size, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -178131,13 +188467,13 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<at::MemoryFormat>, at::Tensor &)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<at::MemoryFormat>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -178145,12 +188481,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -178253,12 +188589,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -178266,11 +188602,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -178383,12 +188719,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -178396,11 +188732,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -178444,12 +188780,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -178457,11 +188793,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -178510,12 +188846,12 @@
     name: prob
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -178528,11 +188864,11 @@
     name: prob
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -178640,7 +188976,7 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -178656,8 +188992,8 @@
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const c10::optional<at::Scalar> &, at::IntArrayRef, bool, c10::optional<at::ScalarType>, at::Tensor &)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const ::std::optional<at::Scalar> &, at::IntArrayRef, bool, ::std::optional<at::ScalarType>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -178668,7 +189004,7 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -178684,7 +189020,7 @@
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -178708,51 +189044,85 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _sparse_sum_out
-  operator_name: _sparse_sum
-  overload_name: dim_out
+- name: _batch_norm_with_update_functional
+  operator_name: _batch_norm_with_update_functional
+  overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_sparse_sum.dim_out(Tensor self, int[1] dim, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::_batch_norm_with_update_functional(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor, Tensor, Tensor running_mean_out, Tensor running_var_out)
   arguments:
-  - allocate: true
-    annotation: a!
+  - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: weight
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: self
+    name: running_mean
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::IntArrayRef
+    dynamic_type: at::Tensor
     is_nullable: false
-    name: dim
-    size: 1
-    type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::Tensor &)
+    name: running_var
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: momentum
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: eps
+    type: double
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, double, double)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: self
+    name: input
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::IntArrayRef
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: weight
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
     is_nullable: false
-    name: dim
-    size: 1
-    type: at::IntArrayRef
-  - allocate: true
-    annotation: a!
+    name: running_mean
+    type: const at::Tensor &
+  - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
+    name: running_var
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: momentum
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: eps
+    type: double
   method_of:
   - Type
   - namespace
@@ -178760,8 +189130,25 @@
   python_module: ''
   returns:
   - dynamic_type: at::Tensor
-    name: out
-    type: at::Tensor &
+    name: result0
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    name: result1
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    name: result2
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    name: result3
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    field_name: running_mean_out
+    name: running_mean_out
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    field_name: running_var_out
+    name: running_var_out
+    type: at::Tensor
   inplace: false
   is_factory_method: false
   abstract: true
@@ -178769,57 +189156,139 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _sparse_sum_backward_out
-  operator_name: _sparse_sum_backward
+- name: _batch_norm_no_update_out
+  operator_name: _batch_norm_no_update
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_sparse_sum_backward.out(Tensor grad, Tensor self, int[] dim, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::_batch_norm_no_update.out(Tensor input, Tensor? weight, Tensor? bias, Tensor? running_mean, Tensor? running_var, float momentum, float eps, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2, Tensor(d!) out3) -> (Tensor(a!), Tensor(b!), Tensor(c!), Tensor(d!))
   arguments:
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
     is_nullable: false
-    name: out
+    name: out0
+    output: true
+    type: at::Tensor &
+  - allocate: true
+    annotation: b!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out1
+    output: true
+    type: at::Tensor &
+  - allocate: true
+    annotation: c!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out2
+    output: true
+    type: at::Tensor &
+  - allocate: true
+    annotation: d!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out3
     output: true
     type: at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: grad
+    name: input
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
+    is_nullable: true
+    name: weight
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: running_mean
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: running_var
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: double
     is_nullable: false
-    name: self
-    type: const at::Tensor &
+    name: momentum
+    type: double
   - annotation: null
-    dynamic_type: at::IntArrayRef
+    dynamic_type: double
     is_nullable: false
-    name: dim
-    type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::Tensor &)
+    name: eps
+    type: double
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, double, double, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: grad
+    name: input
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
+    is_nullable: true
+    name: weight
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: running_mean
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: running_var
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: double
     is_nullable: false
-    name: self
-    type: const at::Tensor &
+    name: momentum
+    type: double
   - annotation: null
-    dynamic_type: at::IntArrayRef
+    dynamic_type: double
     is_nullable: false
-    name: dim
-    type: at::IntArrayRef
+    name: eps
+    type: double
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
     is_nullable: false
-    name: out
+    name: out0
+    output: true
+    type: at::Tensor &
+  - allocate: true
+    annotation: b!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out1
+    output: true
+    type: at::Tensor &
+  - allocate: true
+    annotation: c!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out2
+    output: true
+    type: at::Tensor &
+  - allocate: true
+    annotation: d!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out3
     output: true
     type: at::Tensor &
   method_of:
@@ -178829,7 +189298,16 @@
   python_module: ''
   returns:
   - dynamic_type: at::Tensor
-    name: out
+    name: out0
+    type: at::Tensor &
+  - dynamic_type: at::Tensor
+    name: out1
+    type: at::Tensor &
+  - dynamic_type: at::Tensor
+    name: out2
+    type: at::Tensor &
+  - dynamic_type: at::Tensor
+    name: out3
     type: at::Tensor &
   inplace: false
   is_factory_method: false
@@ -178838,12 +189316,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _sparse_csr_sum_out
-  operator_name: _sparse_csr_sum
-  overload_name: dim_dtype_out
+- name: _sparse_sum_out
+  operator_name: _sparse_sum
+  overload_name: dim_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_sparse_csr_sum.dim_dtype_out(Tensor self, int[1] dim, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::_sparse_sum.dim_out(Tensor self, int[1] dim, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -178863,20 +189341,7 @@
     name: dim
     size: 1
     type: at::IntArrayRef
-  - annotation: null
-    default: false
-    dynamic_type: bool
-    is_nullable: false
-    name: keepdim
-    type: bool
-  - annotation: null
-    default: c10::nullopt
-    dynamic_type: at::ScalarType
-    is_nullable: true
-    kwarg_only: true
-    name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, bool, c10::optional<at::ScalarType>, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -178889,19 +189354,162 @@
     name: dim
     size: 1
     type: at::IntArrayRef
-  - annotation: null
-    default: false
-    dynamic_type: bool
-    is_nullable: false
-    name: keepdim
-    type: bool
-  - annotation: null
-    default: c10::nullopt
-    dynamic_type: at::ScalarType
-    is_nullable: true
-    kwarg_only: true
-    name: dtype
-    type: c10::optional<at::ScalarType>
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _sparse_sum_backward_out
+  operator_name: _sparse_sum_backward
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_sparse_sum_backward.out(Tensor grad, Tensor self, int[] dim, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: grad
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: dim
+    type: at::IntArrayRef
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: grad
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: dim
+    type: at::IntArrayRef
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _sparse_csr_sum_out
+  operator_name: _sparse_csr_sum
+  overload_name: dim_dtype_out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_sparse_csr_sum.dim_dtype_out(Tensor self, int[1] dim, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: dim
+    size: 1
+    type: at::IntArrayRef
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: keepdim
+    type: bool
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, bool, ::std::optional<at::ScalarType>, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: dim
+    size: 1
+    type: at::IntArrayRef
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: keepdim
+    type: bool
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -178957,13 +189565,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, bool, c10::optional<at::ScalarType>, at::Tensor &)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, bool, ::std::optional<at::ScalarType>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -178983,12 +189591,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -179338,12 +189946,12 @@
     name: shape
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     name: layout
-    type: c10::optional<at::Layout>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, c10::optional<at::Layout>, at::Tensor &)
+    type: ::std::optional<at::Layout>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, ::std::optional<at::Layout>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -179361,11 +189969,11 @@
     name: shape
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -179412,14 +190020,14 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::ScalarType
     is_nullable: false
     kwarg_only: true
     name: dtype
     type: at::ScalarType
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const c10::optional<at::Scalar> &, at::ScalarType, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const ::std::optional<at::Scalar> &, at::ScalarType, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -179430,7 +190038,7 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::ScalarType
     is_nullable: false
@@ -179541,13 +190149,13 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<at::MemoryFormat>, at::Tensor &)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<at::MemoryFormat>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -179555,12 +190163,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -179609,13 +190217,13 @@
     name: the_template
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: const at::Tensor & (const at::Tensor &, const at::Tensor &, c10::optional<at::MemoryFormat>, const at::Tensor &)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: const at::Tensor & (const at::Tensor &, const at::Tensor &, ::std::optional<at::MemoryFormat>, const at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -179628,12 +190236,12 @@
     name: the_template
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -179675,13 +190283,13 @@
     name: the_template
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, c10::optional<at::MemoryFormat>)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, ::std::optional<at::MemoryFormat>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -179694,12 +190302,12 @@
     name: the_template
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   method_of:
   - Type
   - namespace
@@ -180339,7 +190947,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_sparse_coo_tensor_with_dims_and_tensors.out(int sparse_dim, int dense_dim, SymInt[] size, Tensor indices, Tensor values, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::_sparse_coo_tensor_with_dims_and_tensors.out(int sparse_dim, int dense_dim, SymInt[] size, Tensor indices, Tensor values, *, bool? is_coalesced=None, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -180373,7 +190981,14 @@
     is_nullable: false
     name: values
     type: const at::Tensor &
-  schema_order_cpp_signature: at::Tensor & (int64_t, int64_t, at::IntArrayRef, const at::Tensor &, const at::Tensor &, at::Tensor &)
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    kwarg_only: true
+    name: is_coalesced
+    type: ::std::optional<bool>
+  schema_order_cpp_signature: at::Tensor & (int64_t, int64_t, at::IntArrayRef, const at::Tensor &, const at::Tensor &, ::std::optional<bool>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -180400,6 +191015,13 @@
     is_nullable: false
     name: values
     type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    kwarg_only: true
+    name: is_coalesced
+    type: ::std::optional<bool>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -180770,12 +191392,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _to_dense_out
-  operator_name: _to_dense
+- name: _sparse_mask_projection_out
+  operator_name: _sparse_mask_projection
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_to_dense.out(Tensor self, ScalarType? dtype=None, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::_sparse_mask_projection.out(Tensor self, Tensor mask, bool accumulate_matches=False, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -180789,132 +191411,215 @@
     is_nullable: false
     name: self
     type: const at::Tensor &
-  - annotation: null
-    default: c10::nullopt
-    dynamic_type: at::ScalarType
-    is_nullable: true
-    name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<at::ScalarType>, at::Tensor &)
-  schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: self
+    name: mask
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: at::ScalarType
-    is_nullable: true
-    name: dtype
-    type: c10::optional<at::ScalarType>
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
-  method_of:
-  - Type
-  - namespace
-  mode: native
-  python_module: ''
-  returns:
-  - dynamic_type: at::Tensor
-    name: out
-    type: at::Tensor &
-  inplace: false
-  is_factory_method: false
-  abstract: true
-  device_guard: false
-  with_gil: false
-  deprecated: false
-  has_math_kernel: false
-- name: _coalesce_out
-  operator_name: _coalesce
-  overload_name: out
-  manual_kernel_registration: false
-  category_override: ''
-  schema_string: aten::_coalesce.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
-  arguments:
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
+    default: false
+    dynamic_type: bool
     is_nullable: false
-    name: self
-    type: const at::Tensor &
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::Tensor &)
+    name: accumulate_matches
+    type: bool
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
     name: self
     type: const at::Tensor &
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
-  method_of:
-  - Type
-  - namespace
-  mode: native
-  python_module: ''
-  returns:
-  - dynamic_type: at::Tensor
-    name: out
-    type: at::Tensor &
-  inplace: false
-  is_factory_method: false
-  abstract: true
-  device_guard: false
-  with_gil: false
-  deprecated: false
-  has_math_kernel: false
-- name: _coalesced_out
-  operator_name: _coalesced
-  overload_name: out
-  manual_kernel_registration: false
-  category_override: ''
-  schema_string: aten::_coalesced.out(Tensor self, bool coalesced, *, Tensor(a!) out) -> Tensor(a!)
-  arguments:
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: self
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    name: coalesced
-    type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, bool, at::Tensor &)
-  schema_order_arguments:
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: self
+    name: mask
     type: const at::Tensor &
   - annotation: null
+    default: false
     dynamic_type: bool
     is_nullable: false
-    name: coalesced
+    name: accumulate_matches
+    type: bool
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _to_dense_out
+  operator_name: _to_dense
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_to_dense.out(Tensor self, ScalarType? dtype=None, bool? masked_grad=None, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    name: masked_grad
+    type: ::std::optional<bool>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<at::ScalarType>, ::std::optional<bool>, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    name: masked_grad
+    type: ::std::optional<bool>
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _coalesce_out
+  operator_name: _coalesce
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_coalesce.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _coalesced_out
+  operator_name: _coalesced
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_coalesced.out(Tensor self, bool coalesced, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    name: coalesced
+    type: bool
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, bool, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    name: coalesced
     type: bool
   - allocate: true
     annotation: a!
@@ -181112,12 +191817,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: to_sparse_out
-  operator_name: to_sparse
+- name: _to_sparse_out
+  operator_name: _to_sparse
   overload_name: sparse_dim_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::to_sparse.sparse_dim_out(Tensor self, int sparse_dim, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::_to_sparse.sparse_dim_out(Tensor self, int sparse_dim, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -181171,12 +191876,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: to_sparse_out
-  operator_name: to_sparse
+- name: _to_sparse_out
+  operator_name: _to_sparse
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::to_sparse.out(Tensor self, *, Layout? layout=None, int[2]? blocksize=None, int? dense_dim=None, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::_to_sparse.out(Tensor self, *, Layout? layout=None, int[2]? blocksize=None, int? dense_dim=None, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -181191,14 +191896,14 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     kwarg_only: true
@@ -181206,13 +191911,13 @@
     size: 2
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     kwarg_only: true
     name: dense_dim
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<at::Layout>, at::OptionalIntArrayRef, c10::optional<int64_t>, at::Tensor &)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<at::Layout>, at::OptionalIntArrayRef, ::std::optional<int64_t>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -181220,14 +191925,14 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     kwarg_only: true
@@ -181235,12 +191940,12 @@
     size: 2
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     kwarg_only: true
     name: dense_dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -181264,12 +191969,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: to_sparse_csr_out
-  operator_name: to_sparse_csr
+- name: _to_sparse_csr_out
+  operator_name: _to_sparse_csr
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::to_sparse_csr.out(Tensor self, int? dense_dim=None, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::_to_sparse_csr.out(Tensor self, int? dense_dim=None, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -181284,12 +191989,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dense_dim
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<int64_t>, at::Tensor &)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<int64_t>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -181297,11 +192002,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dense_dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -181325,12 +192030,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: to_sparse_csc_out
-  operator_name: to_sparse_csc
+- name: _to_sparse_csc_out
+  operator_name: _to_sparse_csc
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::to_sparse_csc.out(Tensor self, int? dense_dim=None, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::_to_sparse_csc.out(Tensor self, int? dense_dim=None, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -181345,12 +192050,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dense_dim
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<int64_t>, at::Tensor &)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<int64_t>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -181358,11 +192063,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dense_dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -181386,12 +192091,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: to_sparse_bsr_out
-  operator_name: to_sparse_bsr
+- name: _to_sparse_bsr_out
+  operator_name: _to_sparse_bsr
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::to_sparse_bsr.out(Tensor self, int[2] blocksize, int? dense_dim=None, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::_to_sparse_bsr.out(Tensor self, int[2] blocksize, int? dense_dim=None, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -181412,12 +192117,12 @@
     size: 2
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dense_dim
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, c10::optional<int64_t>, at::Tensor &)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, ::std::optional<int64_t>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -181431,11 +192136,11 @@
     size: 2
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dense_dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -181459,12 +192164,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: to_sparse_bsc_out
-  operator_name: to_sparse_bsc
+- name: _to_sparse_bsc_out
+  operator_name: _to_sparse_bsc
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::to_sparse_bsc.out(Tensor self, int[2] blocksize, int? dense_dim=None, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::_to_sparse_bsc.out(Tensor self, int[2] blocksize, int? dense_dim=None, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -181485,12 +192190,12 @@
     size: 2
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dense_dim
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, c10::optional<int64_t>, at::Tensor &)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, ::std::optional<int64_t>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -181504,11 +192209,11 @@
     size: 2
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dense_dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -181552,12 +192257,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<at::ScalarType>, at::Tensor &)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<at::ScalarType>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -181565,11 +192270,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -181598,7 +192303,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::mkldnn_reorder_conv2d_weight.out(Tensor self, int[2] padding=0, int[2] stride=1, int[2] dilation=1, int groups=1, int[]? input_size=None, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::mkldnn_reorder_conv2d_weight.out(Tensor self, SymInt[2] padding=0, SymInt[2] stride=1, SymInt[2] dilation=1, SymInt groups=1, SymInt[]? input_size=None, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -181640,7 +192345,7 @@
     name: groups
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: input_size
@@ -181680,7 +192385,7 @@
     name: groups
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: input_size
@@ -181713,7 +192418,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::mkldnn_reorder_conv3d_weight.out(Tensor self, int[3] padding=0, int[3] stride=1, int[3] dilation=1, int groups=1, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::mkldnn_reorder_conv3d_weight.out(Tensor self, SymInt[3] padding=0, SymInt[3] stride=1, SymInt[3] dilation=1, SymInt groups=1, SymInt[]? input_size=None, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -181754,7 +192459,13 @@
     is_nullable: false
     name: groups
     type: int64_t
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, at::Tensor &)
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::IntArrayRef
+    is_nullable: true
+    name: input_size
+    type: at::OptionalIntArrayRef
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, at::OptionalIntArrayRef, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -181788,6 +192499,12 @@
     is_nullable: false
     name: groups
     type: int64_t
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::IntArrayRef
+    is_nullable: true
+    name: input_size
+    type: at::OptionalIntArrayRef
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -183540,13 +194257,13 @@
     name: non_blocking
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, bool, c10::optional<at::MemoryFormat>, at::Tensor &)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, bool, ::std::optional<at::MemoryFormat>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -183561,12 +194278,12 @@
     name: non_blocking
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -183809,7 +194526,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::lstm_mps_backward.out(Tensor grad_y, Tensor? grad_hy, Tensor? grad_cy, Tensor z_state, Tensor cell_state_fwd, Tensor input, Tensor layersOutputs, Tensor[] hx, Tensor[] params, bool has_biases, int num_layers, float dropout, bool train, bool bidirectional, bool batch_first, *, Tensor(a!) out0, Tensor(b!)[] out1, Tensor(c!)[] out2) -> ()
+  schema_string: aten::lstm_mps_backward.out(Tensor? grad_y, Tensor? grad_hy, Tensor? grad_cy, Tensor z_state, Tensor cell_state_fwd, Tensor input, Tensor layersOutputs, Tensor[] hx, Tensor[] params, bool has_biases, int num_layers, float dropout, bool train, bool bidirectional, bool batch_first, *, Tensor(a!) out0, Tensor(b!)[] out1, Tensor(c!)[] out2) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -183834,96 +194551,96 @@
     type: at::TensorList
   - annotation: null
     dynamic_type: at::Tensor
-    is_nullable: false
+    is_nullable: true
     name: grad_y
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: grad_hy
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: grad_cy
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: z_state
     type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: cell_state_fwd
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: layersOutputs
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: hx
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: params
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    name: has_biases
+    type: bool
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: num_layers
+    type: int64_t
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: dropout
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    name: train
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    name: bidirectional
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    name: batch_first
+    type: bool
+  schema_order_cpp_signature: void (const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, at::TensorList, at::TensorList, bool, int64_t, double, bool, bool, bool, at::Tensor &, at::TensorList, at::TensorList)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: grad_y
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_hy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_cy
-    type: const c10::optional<at::Tensor> &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: z_state
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: cell_state_fwd
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: input
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: layersOutputs
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: hx
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: params
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    name: has_biases
-    type: bool
-  - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: num_layers
-    type: int64_t
-  - annotation: null
-    dynamic_type: double
-    is_nullable: false
-    name: dropout
-    type: double
-  - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    name: train
-    type: bool
-  - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    name: bidirectional
-    type: bool
-  - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    name: batch_first
-    type: bool
-  schema_order_cpp_signature: void (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, at::TensorList, at::TensorList, bool, int64_t, double, bool, bool, bool, at::Tensor &, at::TensorList, at::TensorList)
-  schema_order_arguments:
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: grad_y
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: true
-    name: grad_hy
-    type: const c10::optional<at::Tensor> &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: true
-    name: grad_cy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -184066,14 +194783,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: input_bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: hidden_bias
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, at::Tensor &, at::Tensor &, at::Tensor &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -184095,13 +194812,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: input_bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: hidden_bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -184177,12 +194894,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_hy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_cy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -184203,18 +194920,18 @@
     is_nullable: false
     name: has_bias
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, const at::Tensor &, bool, at::Tensor &, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, const at::Tensor &, bool, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_hy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_cy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -184319,14 +195036,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: input_bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: hidden_bias
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, at::Tensor &, at::Tensor &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -184348,13 +195065,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: input_bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: hidden_bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -185401,18 +196118,18 @@
     name: mask
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: mask_type
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, c10::optional<int64_t>, c10::optional<int64_t>, at::Tensor &)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, ::std::optional<int64_t>, ::std::optional<int64_t>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -185425,17 +196142,17 @@
     name: mask
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: mask_type
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -185489,12 +196206,12 @@
     name: mask
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, c10::optional<int64_t>, at::Tensor &)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, ::std::optional<int64_t>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -185512,11 +196229,11 @@
     name: mask
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -186338,15 +197055,15 @@
     dynamic_type: int64_t
     is_nullable: true
     name: to
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, c10::optional<int64_t>, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, ::std::optional<int64_t>, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -186362,14 +197079,14 @@
     dynamic_type: int64_t
     is_nullable: true
     name: to
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -186414,15 +197131,15 @@
     dynamic_type: int64_t
     is_nullable: true
     name: to
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, c10::optional<int64_t>, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, ::std::optional<int64_t>, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -186438,14 +197155,14 @@
     dynamic_type: int64_t
     is_nullable: true
     name: to
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - namespace
@@ -186487,13 +197204,13 @@
     name: to
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -186506,12 +197223,12 @@
     name: to
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -186553,13 +197270,13 @@
     name: to
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -186572,12 +197289,12 @@
     name: to
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - namespace
@@ -186614,13 +197331,13 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -186628,12 +197345,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -186670,13 +197387,13 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -186684,12 +197401,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - namespace
@@ -186738,13 +197455,13 @@
     name: to
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, double, double, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, double, double, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -186764,12 +197481,12 @@
     name: to
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -186818,13 +197535,13 @@
     name: to
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, double, double, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, double, double, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -186844,12 +197561,12 @@
     name: to
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - namespace
@@ -186898,13 +197615,13 @@
     name: sigma
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, double, double, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, double, double, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -186924,12 +197641,12 @@
     name: sigma
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -186978,13 +197695,13 @@
     name: sigma
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, double, double, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, double, double, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -187004,12 +197721,12 @@
     name: sigma
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - namespace
@@ -187058,13 +197775,13 @@
     name: std
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, double, double, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, double, double, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -187084,12 +197801,12 @@
     name: std
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -187138,13 +197855,13 @@
     name: std
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, double, double, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, double, double, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -187164,12 +197881,12 @@
     name: std
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - namespace
@@ -187212,13 +197929,13 @@
     name: lambd
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, double, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, double, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -187232,12 +197949,12 @@
     name: lambd
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -187280,13 +197997,13 @@
     name: lambd
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, double, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, double, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -187300,12 +198017,12 @@
     name: lambd
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - namespace
@@ -187347,13 +198064,13 @@
     name: p
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, double, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, double, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -187366,12 +198083,12 @@
     name: p
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -187413,13 +198130,13 @@
     name: p
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, double, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, double, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -187432,12 +198149,12 @@
     name: p
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - namespace
@@ -187810,19 +198527,19 @@
     name: bins
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     kwarg_only: true
     name: range
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -187830,7 +198547,7 @@
     kwarg_only: true
     name: density
     type: bool
-  schema_order_cpp_signature: void (const at::Tensor &, at::IntArrayRef, c10::optional<at::ArrayRef<double>>, const c10::optional<at::Tensor> &, bool, at::TensorList)
+  schema_order_cpp_signature: void (const at::Tensor &, at::IntArrayRef, ::std::optional<at::ArrayRef<double>>, const ::std::optional<at::Tensor> &, bool, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -187843,19 +198560,19 @@
     name: bins
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     kwarg_only: true
     name: range
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -187908,19 +198625,19 @@
     name: bins
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     kwarg_only: true
     name: range
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -187928,7 +198645,7 @@
     kwarg_only: true
     name: density
     type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, c10::optional<at::ArrayRef<double>>, const c10::optional<at::Tensor> &, bool, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, ::std::optional<at::ArrayRef<double>>, const ::std::optional<at::Tensor> &, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -187941,19 +198658,19 @@
     name: bins
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     kwarg_only: true
     name: range
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -188014,7 +198731,7 @@
     is_nullable: true
     kwarg_only: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -188022,7 +198739,7 @@
     kwarg_only: true
     name: density
     type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::TensorList, const c10::optional<at::Tensor> &, bool, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::TensorList, const ::std::optional<at::Tensor> &, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -188040,7 +198757,7 @@
     is_nullable: true
     kwarg_only: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -188130,95 +198847,6 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: argsort_out
-  operator_name: argsort
-  overload_name: stable_out
-  manual_kernel_registration: false
-  category_override: ''
-  schema_string: aten::argsort.stable_out(Tensor self, *, bool stable, int dim=-1, bool descending=False, Tensor(a!) out) -> Tensor(a!)
-  arguments:
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: self
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    kwarg_only: true
-    name: stable
-    type: bool
-  - annotation: null
-    default: -1
-    dynamic_type: int64_t
-    is_nullable: false
-    kwarg_only: true
-    name: dim
-    type: int64_t
-  - annotation: null
-    default: false
-    dynamic_type: bool
-    is_nullable: false
-    kwarg_only: true
-    name: descending
-    type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, bool, int64_t, bool, at::Tensor &)
-  schema_order_arguments:
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: self
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    kwarg_only: true
-    name: stable
-    type: bool
-  - annotation: null
-    default: -1
-    dynamic_type: int64_t
-    is_nullable: false
-    kwarg_only: true
-    name: dim
-    type: int64_t
-  - annotation: null
-    default: false
-    dynamic_type: bool
-    is_nullable: false
-    kwarg_only: true
-    name: descending
-    type: bool
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
-  method_of:
-  - Type
-  - namespace
-  mode: native
-  python_module: ''
-  returns:
-  - dynamic_type: at::Tensor
-    name: out
-    type: at::Tensor &
-  inplace: false
-  is_factory_method: false
-  abstract: true
-  device_guard: false
-  with_gil: false
-  deprecated: false
-  has_math_kernel: false
 - name: unfold_backward_out
   operator_name: unfold_backward
   overload_name: out
@@ -188340,13 +198968,13 @@
     name: std
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, double, double, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, double, double, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -188366,12 +198994,12 @@
     name: std
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -188765,12 +199393,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_sub_out
-  operator_name: _foreach_sub
-  overload_name: Scalar_out
+- name: _foreach_add_out
+  operator_name: _foreach_add
+  overload_name: List_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_sub.Scalar_out(Tensor[] self, Scalar scalar, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_add.List_out(Tensor[] self, Tensor[] other, *, Scalar alpha=1, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -188785,11 +199413,18 @@
     name: self
     type: at::TensorList
   - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: other
+    type: at::TensorList
+  - annotation: null
+    default: 1
     dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalar
+    kwarg_only: true
+    name: alpha
     type: const at::Scalar &
-  schema_order_cpp_signature: void (at::TensorList, const at::Scalar &, at::TensorList)
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, const at::Scalar &, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -188797,9 +199432,16 @@
     name: self
     type: at::TensorList
   - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: other
+    type: at::TensorList
+  - annotation: null
+    default: 1
     dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalar
+    kwarg_only: true
+    name: alpha
     type: const at::Scalar &
   - allocate: true
     annotation: a!
@@ -188821,12 +199463,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_mul_out
-  operator_name: _foreach_mul
-  overload_name: Scalar_out
+- name: _foreach_add_out
+  operator_name: _foreach_add
+  overload_name: ScalarList_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_mul.Scalar_out(Tensor[] self, Scalar scalar, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_add.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -188841,11 +199483,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    name: scalar
-    type: const at::Scalar &
-  schema_order_cpp_signature: void (at::TensorList, const at::Scalar &, at::TensorList)
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
+  schema_order_cpp_signature: void (at::TensorList, at::ArrayRef<at::Scalar>, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -188853,10 +199495,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    name: scalar
-    type: const at::Scalar &
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -188877,12 +199519,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_div_out
-  operator_name: _foreach_div
-  overload_name: Scalar_out
+- name: _foreach_add_out
+  operator_name: _foreach_add
+  overload_name: Tensor_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_div.Scalar_out(Tensor[] self, Scalar scalar, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_add.Tensor_out(Tensor[] self, Tensor other, *, Scalar alpha=1, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -188897,11 +199539,18 @@
     name: self
     type: at::TensorList
   - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: other
+    type: const at::Tensor &
+  - annotation: null
+    default: 1
     dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalar
+    kwarg_only: true
+    name: alpha
     type: const at::Scalar &
-  schema_order_cpp_signature: void (at::TensorList, const at::Scalar &, at::TensorList)
+  schema_order_cpp_signature: void (at::TensorList, const at::Tensor &, const at::Scalar &, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -188909,9 +199558,16 @@
     name: self
     type: at::TensorList
   - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: other
+    type: const at::Tensor &
+  - annotation: null
+    default: 1
     dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalar
+    kwarg_only: true
+    name: alpha
     type: const at::Scalar &
   - allocate: true
     annotation: a!
@@ -188933,12 +199589,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_clamp_min_out
-  operator_name: _foreach_clamp_min
+- name: _foreach_sub_out
+  operator_name: _foreach_sub
   overload_name: Scalar_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_clamp_min.Scalar_out(Tensor[] self, Scalar scalar, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_sub.Scalar_out(Tensor[] self, Scalar scalar, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -188989,12 +199645,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_clamp_max_out
-  operator_name: _foreach_clamp_max
-  overload_name: Scalar_out
+- name: _foreach_sub_out
+  operator_name: _foreach_sub
+  overload_name: List_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_clamp_max.Scalar_out(Tensor[] self, Scalar scalar, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_sub.List_out(Tensor[] self, Tensor[] other, *, Scalar alpha=1, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -189009,11 +199665,18 @@
     name: self
     type: at::TensorList
   - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: other
+    type: at::TensorList
+  - annotation: null
+    default: 1
     dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalar
+    kwarg_only: true
+    name: alpha
     type: const at::Scalar &
-  schema_order_cpp_signature: void (at::TensorList, const at::Scalar &, at::TensorList)
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, const at::Scalar &, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -189021,9 +199684,16 @@
     name: self
     type: at::TensorList
   - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: other
+    type: at::TensorList
+  - annotation: null
+    default: 1
     dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalar
+    kwarg_only: true
+    name: alpha
     type: const at::Scalar &
   - allocate: true
     annotation: a!
@@ -189045,12 +199715,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_maximum_out
-  operator_name: _foreach_maximum
-  overload_name: Scalar_out
+- name: _foreach_sub_out
+  operator_name: _foreach_sub
+  overload_name: ScalarList_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_maximum.Scalar_out(Tensor[] self, Scalar scalar, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_sub.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -189065,11 +199735,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    name: scalar
-    type: const at::Scalar &
-  schema_order_cpp_signature: void (at::TensorList, const at::Scalar &, at::TensorList)
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
+  schema_order_cpp_signature: void (at::TensorList, at::ArrayRef<at::Scalar>, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -189077,10 +199747,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    name: scalar
-    type: const at::Scalar &
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -189101,12 +199771,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_minimum_out
-  operator_name: _foreach_minimum
+- name: _foreach_mul_out
+  operator_name: _foreach_mul
   overload_name: Scalar_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_minimum.Scalar_out(Tensor[] self, Scalar scalar, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_mul.Scalar_out(Tensor[] self, Scalar scalar, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -189157,12 +199827,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_add_out
-  operator_name: _foreach_add
+- name: _foreach_mul_out
+  operator_name: _foreach_mul
   overload_name: List_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_add.List_out(Tensor[] self, Tensor[] other, *, Scalar alpha=1, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_mul.List_out(Tensor[] self, Tensor[] other, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -189181,14 +199851,7 @@
     is_nullable: false
     name: other
     type: at::TensorList
-  - annotation: null
-    default: 1
-    dynamic_type: const at::Scalar &
-    is_nullable: false
-    kwarg_only: true
-    name: alpha
-    type: const at::Scalar &
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, const at::Scalar &, at::TensorList)
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -189200,13 +199863,6 @@
     is_nullable: false
     name: other
     type: at::TensorList
-  - annotation: null
-    default: 1
-    dynamic_type: const at::Scalar &
-    is_nullable: false
-    kwarg_only: true
-    name: alpha
-    type: const at::Scalar &
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -189227,12 +199883,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_sub_out
-  operator_name: _foreach_sub
-  overload_name: List_out
+- name: _foreach_mul_out
+  operator_name: _foreach_mul
+  overload_name: ScalarList_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_sub.List_out(Tensor[] self, Tensor[] other, *, Scalar alpha=1, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_mul.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -189247,18 +199903,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: other
-    type: at::TensorList
-  - annotation: null
-    default: 1
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    kwarg_only: true
-    name: alpha
-    type: const at::Scalar &
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, const at::Scalar &, at::TensorList)
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
+  schema_order_cpp_signature: void (at::TensorList, at::ArrayRef<at::Scalar>, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -189266,17 +199915,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: other
-    type: at::TensorList
-  - annotation: null
-    default: 1
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    kwarg_only: true
-    name: alpha
-    type: const at::Scalar &
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -189299,10 +199941,10 @@
   has_math_kernel: false
 - name: _foreach_mul_out
   operator_name: _foreach_mul
-  overload_name: List_out
+  overload_name: Tensor_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_mul.List_out(Tensor[] self, Tensor[] other, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_mul.Tensor_out(Tensor[] self, Tensor other, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -189317,11 +199959,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: at::Tensor
     is_nullable: false
     name: other
-    type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList)
+    type: const at::Tensor &
+  schema_order_cpp_signature: void (at::TensorList, const at::Tensor &, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -189329,10 +199971,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: at::Tensor
     is_nullable: false
     name: other
-    type: at::TensorList
+    type: const at::Tensor &
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -189355,10 +199997,10 @@
   has_math_kernel: false
 - name: _foreach_div_out
   operator_name: _foreach_div
-  overload_name: List_out
+  overload_name: Scalar_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_div.List_out(Tensor[] self, Tensor[] other, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_div.Scalar_out(Tensor[] self, Scalar scalar, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -189373,11 +200015,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: other
-    type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList)
+    name: scalar
+    type: const at::Scalar &
+  schema_order_cpp_signature: void (at::TensorList, const at::Scalar &, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -189385,10 +200027,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: other
-    type: at::TensorList
+    name: scalar
+    type: const at::Scalar &
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -189409,12 +200051,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_clamp_min_out
-  operator_name: _foreach_clamp_min
+- name: _foreach_div_out
+  operator_name: _foreach_div
   overload_name: List_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_clamp_min.List_out(Tensor[] self, Tensor[] other, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_div.List_out(Tensor[] self, Tensor[] other, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -189465,12 +200107,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_clamp_max_out
-  operator_name: _foreach_clamp_max
-  overload_name: List_out
+- name: _foreach_div_out
+  operator_name: _foreach_div
+  overload_name: ScalarList_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_clamp_max.List_out(Tensor[] self, Tensor[] other, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_div.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -189485,11 +200127,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    name: other
-    type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList)
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
+  schema_order_cpp_signature: void (at::TensorList, at::ArrayRef<at::Scalar>, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -189497,10 +200139,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    name: other
-    type: at::TensorList
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -189521,12 +200163,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_maximum_out
-  operator_name: _foreach_maximum
-  overload_name: List_out
+- name: _foreach_div_out
+  operator_name: _foreach_div
+  overload_name: Tensor_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_maximum.List_out(Tensor[] self, Tensor[] other, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_div.Tensor_out(Tensor[] self, Tensor other, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -189541,11 +200183,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: at::Tensor
     is_nullable: false
     name: other
-    type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList)
+    type: const at::Tensor &
+  schema_order_cpp_signature: void (at::TensorList, const at::Tensor &, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -189553,10 +200195,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: at::Tensor
     is_nullable: false
     name: other
-    type: at::TensorList
+    type: const at::Tensor &
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -189577,12 +200219,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_minimum_out
-  operator_name: _foreach_minimum
-  overload_name: List_out
+- name: _foreach_clamp_max_out
+  operator_name: _foreach_clamp_max
+  overload_name: Scalar_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_minimum.List_out(Tensor[] self, Tensor[] other, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_clamp_max.Scalar_out(Tensor[] self, Scalar scalar, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -189597,11 +200239,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: other
-    type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList)
+    name: scalar
+    type: const at::Scalar &
+  schema_order_cpp_signature: void (at::TensorList, const at::Scalar &, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -189609,10 +200251,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: other
-    type: at::TensorList
+    name: scalar
+    type: const at::Scalar &
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -189633,12 +200275,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_add_out
-  operator_name: _foreach_add
-  overload_name: ScalarList_out
+- name: _foreach_clamp_max_out
+  operator_name: _foreach_clamp_max
+  overload_name: List_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_add.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_clamp_max.List_out(Tensor[] self, Tensor[] other, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -189653,78 +200295,22 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
-    is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
-  schema_order_cpp_signature: void (at::TensorList, at::ArrayRef<at::Scalar>, at::TensorList)
-  schema_order_arguments:
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: self
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
-    is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
-  - allocate: true
-    annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
-    name: out
-    output: true
-    type: at::TensorList
-  method_of:
-  - Type
-  - namespace
-  mode: native
-  python_module: ''
-  returns: []
-  inplace: false
-  is_factory_method: false
-  abstract: true
-  device_guard: false
-  with_gil: false
-  deprecated: false
-  has_math_kernel: false
-- name: _foreach_sub_out
-  operator_name: _foreach_sub
-  overload_name: ScalarList_out
-  manual_kernel_registration: false
-  category_override: ''
-  schema_string: aten::_foreach_sub.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> ()
-  arguments:
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: out
-    output: true
+    name: other
     type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList)
+  schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
-    is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
-  schema_order_cpp_signature: void (at::TensorList, at::ArrayRef<at::Scalar>, at::TensorList)
-  schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: self
+    name: other
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
-    is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -189745,12 +200331,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_div_out
-  operator_name: _foreach_div
+- name: _foreach_clamp_max_out
+  operator_name: _foreach_clamp_max
   overload_name: ScalarList_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_div.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_clamp_max.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -189801,12 +200387,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_mul_out
-  operator_name: _foreach_mul
-  overload_name: ScalarList_out
+- name: _foreach_clamp_min_out
+  operator_name: _foreach_clamp_min
+  overload_name: Scalar_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_mul.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_clamp_min.Scalar_out(Tensor[] self, Scalar scalar, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -189821,11 +200407,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
-  schema_order_cpp_signature: void (at::TensorList, at::ArrayRef<at::Scalar>, at::TensorList)
+    name: scalar
+    type: const at::Scalar &
+  schema_order_cpp_signature: void (at::TensorList, const at::Scalar &, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -189833,10 +200419,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
+    name: scalar
+    type: const at::Scalar &
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -189859,10 +200445,10 @@
   has_math_kernel: false
 - name: _foreach_clamp_min_out
   operator_name: _foreach_clamp_min
-  overload_name: ScalarList_out
+  overload_name: List_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_clamp_min.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_clamp_min.List_out(Tensor[] self, Tensor[] other, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -189877,11 +200463,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
-  schema_order_cpp_signature: void (at::TensorList, at::ArrayRef<at::Scalar>, at::TensorList)
+    name: other
+    type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -189889,10 +200475,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
+    name: other
+    type: at::TensorList
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -189913,12 +200499,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_clamp_max_out
-  operator_name: _foreach_clamp_max
+- name: _foreach_clamp_min_out
+  operator_name: _foreach_clamp_min
   overload_name: ScalarList_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_clamp_max.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_clamp_min.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -189971,10 +200557,10 @@
   has_math_kernel: false
 - name: _foreach_maximum_out
   operator_name: _foreach_maximum
-  overload_name: ScalarList_out
+  overload_name: Scalar_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_maximum.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_maximum.Scalar_out(Tensor[] self, Scalar scalar, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -189989,11 +200575,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
-  schema_order_cpp_signature: void (at::TensorList, at::ArrayRef<at::Scalar>, at::TensorList)
+    name: scalar
+    type: const at::Scalar &
+  schema_order_cpp_signature: void (at::TensorList, const at::Scalar &, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -190001,10 +200587,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
+    name: scalar
+    type: const at::Scalar &
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -190025,12 +200611,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_minimum_out
-  operator_name: _foreach_minimum
-  overload_name: ScalarList_out
+- name: _foreach_maximum_out
+  operator_name: _foreach_maximum
+  overload_name: List_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_minimum.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_maximum.List_out(Tensor[] self, Tensor[] other, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -190045,11 +200631,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
-  schema_order_cpp_signature: void (at::TensorList, at::ArrayRef<at::Scalar>, at::TensorList)
+    name: other
+    type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -190057,10 +200643,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
+    name: other
+    type: at::TensorList
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -190081,12 +200667,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_exp_out
-  operator_name: _foreach_exp
-  overload_name: out
+- name: _foreach_maximum_out
+  operator_name: _foreach_maximum
+  overload_name: ScalarList_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_exp.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_maximum.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -190100,13 +200686,23 @@
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+  - annotation: null
+    dynamic_type: at::ArrayRef<at::Scalar>
+    is_nullable: false
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
+  schema_order_cpp_signature: void (at::TensorList, at::ArrayRef<at::Scalar>, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::ArrayRef<at::Scalar>
+    is_nullable: false
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -190127,12 +200723,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_zero_out
-  operator_name: _foreach_zero
-  overload_name: out
+- name: _foreach_minimum_out
+  operator_name: _foreach_minimum
+  overload_name: Scalar_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_zero.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_minimum.Scalar_out(Tensor[] self, Scalar scalar, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -190146,13 +200742,23 @@
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: scalar
+    type: const at::Scalar &
+  schema_order_cpp_signature: void (at::TensorList, const at::Scalar &, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: scalar
+    type: const at::Scalar &
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -190173,35 +200779,55 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_zero
-  operator_name: _foreach_zero
-  overload_name: ''
+- name: _foreach_minimum_out
+  operator_name: _foreach_minimum
+  overload_name: List_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_zero(Tensor[] self) -> Tensor[] self_out
+  schema_string: aten::_foreach_minimum.List_out(Tensor[] self, Tensor[] other, *, Tensor(a!)[] out) -> ()
   arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: out
+    output: true
+    type: at::TensorList
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: other
+    type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: other
+    type: at::TensorList
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: out
+    output: true
+    type: at::TensorList
   method_of:
   - Type
   - namespace
   mode: native
   python_module: ''
-  returns:
-  - dynamic_type: at::TensorList
-    field_name: self_out
-    name: self_out
-    type: ::std::vector<at::Tensor>
+  returns: []
   inplace: false
   is_factory_method: false
   abstract: true
@@ -190209,12 +200835,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_sqrt_out
-  operator_name: _foreach_sqrt
-  overload_name: out
+- name: _foreach_minimum_out
+  operator_name: _foreach_minimum
+  overload_name: ScalarList_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_sqrt.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_minimum.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -190228,13 +200854,23 @@
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+  - annotation: null
+    dynamic_type: at::ArrayRef<at::Scalar>
+    is_nullable: false
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
+  schema_order_cpp_signature: void (at::TensorList, at::ArrayRef<at::Scalar>, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::ArrayRef<at::Scalar>
+    is_nullable: false
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -190255,12 +200891,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_abs_out
-  operator_name: _foreach_abs
-  overload_name: out
+- name: _foreach_addcdiv_out
+  operator_name: _foreach_addcdiv
+  overload_name: Scalar_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_abs.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_addcdiv.Scalar_out(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar value=1, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -190274,13 +200910,45 @@
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    default: 1
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: value
+    type: const at::Scalar &
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, const at::Scalar &, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    default: 1
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: value
+    type: const at::Scalar &
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -190301,12 +200969,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_acos_out
-  operator_name: _foreach_acos
-  overload_name: out
+- name: _foreach_addcdiv_out
+  operator_name: _foreach_addcdiv
+  overload_name: ScalarList_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_acos.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_addcdiv.ScalarList_out(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar[] scalars, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -190320,13 +200988,43 @@
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::ArrayRef<at::Scalar>
+    is_nullable: false
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, at::ArrayRef<at::Scalar>, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::ArrayRef<at::Scalar>
+    is_nullable: false
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -190347,12 +201045,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_asin_out
-  operator_name: _foreach_asin
-  overload_name: out
+- name: _foreach_addcdiv_out
+  operator_name: _foreach_addcdiv
+  overload_name: Tensor_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_asin.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_addcdiv.Tensor_out(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Tensor scalars, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -190366,13 +201064,43 @@
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: scalars
+    type: const at::Tensor &
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, const at::Tensor &, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: scalars
+    type: const at::Tensor &
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -190393,12 +201121,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_atan_out
-  operator_name: _foreach_atan
-  overload_name: out
+- name: _foreach_addcmul_out
+  operator_name: _foreach_addcmul
+  overload_name: Scalar_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_atan.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_addcmul.Scalar_out(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar value=1, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -190412,13 +201140,45 @@
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    default: 1
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: value
+    type: const at::Scalar &
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, const at::Scalar &, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    default: 1
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: value
+    type: const at::Scalar &
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -190439,12 +201199,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_ceil_out
-  operator_name: _foreach_ceil
-  overload_name: out
+- name: _foreach_addcmul_out
+  operator_name: _foreach_addcmul
+  overload_name: ScalarList_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_ceil.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_addcmul.ScalarList_out(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar[] scalars, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -190458,13 +201218,43 @@
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::ArrayRef<at::Scalar>
+    is_nullable: false
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, at::ArrayRef<at::Scalar>, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::ArrayRef<at::Scalar>
+    is_nullable: false
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -190485,12 +201275,88 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_cos_out
-  operator_name: _foreach_cos
+- name: _foreach_addcmul_out
+  operator_name: _foreach_addcmul
+  overload_name: Tensor_out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foreach_addcmul.Tensor_out(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Tensor scalars, *, Tensor(a!)[] out) -> ()
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: out
+    output: true
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: scalars
+    type: const at::Tensor &
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, const at::Tensor &, at::TensorList)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: scalars
+    type: const at::Tensor &
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: out
+    output: true
+    type: at::TensorList
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foreach_abs_out
+  operator_name: _foreach_abs
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_cos.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_abs.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -190531,12 +201397,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_cosh_out
-  operator_name: _foreach_cosh
+- name: _foreach_acos_out
+  operator_name: _foreach_acos
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_cosh.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_acos.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -190577,12 +201443,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_erf_out
-  operator_name: _foreach_erf
+- name: _foreach_asin_out
+  operator_name: _foreach_asin
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_erf.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_asin.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -190623,12 +201489,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_erfc_out
-  operator_name: _foreach_erfc
+- name: _foreach_atan_out
+  operator_name: _foreach_atan
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_erfc.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_atan.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -190669,12 +201535,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_expm1_out
-  operator_name: _foreach_expm1
+- name: _foreach_ceil_out
+  operator_name: _foreach_ceil
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_expm1.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_ceil.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -190715,12 +201581,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_floor_out
-  operator_name: _foreach_floor
+- name: _foreach_cos_out
+  operator_name: _foreach_cos
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_floor.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_cos.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -190761,12 +201627,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_log_out
-  operator_name: _foreach_log
+- name: _foreach_cosh_out
+  operator_name: _foreach_cosh
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_log.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_cosh.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -190807,12 +201673,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_log10_out
-  operator_name: _foreach_log10
+- name: _foreach_erf_out
+  operator_name: _foreach_erf
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_log10.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_erf.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -190853,12 +201719,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_log1p_out
-  operator_name: _foreach_log1p
+- name: _foreach_erfc_out
+  operator_name: _foreach_erfc
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_log1p.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_erfc.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -190899,12 +201765,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_log2_out
-  operator_name: _foreach_log2
+- name: _foreach_exp_out
+  operator_name: _foreach_exp
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_log2.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_exp.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -190945,12 +201811,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_neg_out
-  operator_name: _foreach_neg
+- name: _foreach_expm1_out
+  operator_name: _foreach_expm1
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_neg.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_expm1.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -190991,12 +201857,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_tan_out
-  operator_name: _foreach_tan
+- name: _foreach_floor_out
+  operator_name: _foreach_floor
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_tan.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_floor.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -191037,12 +201903,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_tanh_out
-  operator_name: _foreach_tanh
+- name: _foreach_frac_out
+  operator_name: _foreach_frac
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_tanh.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_frac.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -191083,12 +201949,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_sin_out
-  operator_name: _foreach_sin
-  overload_name: out
+- name: _foreach_lerp_out
+  operator_name: _foreach_lerp
+  overload_name: List_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_sin.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_lerp.List_out(Tensor[] self, Tensor[] tensors1, Tensor[] weights, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -191102,13 +201968,33 @@
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensors1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: weights
+    type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensors1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: weights
+    type: at::TensorList
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -191129,12 +202015,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_sinh_out
-  operator_name: _foreach_sinh
-  overload_name: out
+- name: _foreach_lerp_out
+  operator_name: _foreach_lerp
+  overload_name: Scalar_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_sinh.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_lerp.Scalar_out(Tensor[] self, Tensor[] tensors1, Scalar weight, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -191148,13 +202034,33 @@
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensors1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: weight
+    type: const at::Scalar &
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, const at::Scalar &, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensors1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: weight
+    type: const at::Scalar &
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -191175,12 +202081,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_round_out
-  operator_name: _foreach_round
+- name: _foreach_lgamma_out
+  operator_name: _foreach_lgamma
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_round.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_lgamma.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -191221,12 +202127,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_lgamma_out
-  operator_name: _foreach_lgamma
+- name: _foreach_log_out
+  operator_name: _foreach_log
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_lgamma.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_log.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -191267,12 +202173,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_frac_out
-  operator_name: _foreach_frac
+- name: _foreach_log10_out
+  operator_name: _foreach_log10
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_frac.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_log10.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -191313,12 +202219,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_reciprocal_out
-  operator_name: _foreach_reciprocal
+- name: _foreach_log1p_out
+  operator_name: _foreach_log1p
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_reciprocal.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_log1p.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -191359,12 +202265,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_sigmoid_out
-  operator_name: _foreach_sigmoid
+- name: _foreach_log2_out
+  operator_name: _foreach_log2
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_sigmoid.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_log2.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -191405,12 +202311,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_trunc_out
-  operator_name: _foreach_trunc
+- name: _foreach_max_out
+  operator_name: _foreach_max
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_trunc.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_max.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -191451,12 +202357,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_addcdiv_out
-  operator_name: _foreach_addcdiv
-  overload_name: Scalar_out
+- name: _foreach_neg_out
+  operator_name: _foreach_neg
+  overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_addcdiv.Scalar_out(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar value=1, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_neg.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -191470,45 +202376,83 @@
     is_nullable: false
     name: self
     type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+  schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor1
+    name: self
     type: at::TensorList
-  - annotation: null
+  - allocate: true
+    annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor2
+    name: out
+    output: true
     type: at::TensorList
-  - annotation: null
-    default: 1
-    dynamic_type: const at::Scalar &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foreach_norm_out
+  operator_name: _foreach_norm
+  overload_name: Scalar_out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foreach_norm.Scalar_out(Tensor[] self, Scalar ord=2, ScalarType? dtype=None, *, Tensor(a!)[] out) -> ()
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: value
-    type: const at::Scalar &
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, const at::Scalar &, at::TensorList)
-  schema_order_arguments:
+    name: out
+    output: true
+    type: at::TensorList
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    default: 2
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: tensor1
-    type: at::TensorList
+    name: ord
+    type: const at::Scalar &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: void (at::TensorList, const at::Scalar &, ::std::optional<at::ScalarType>, at::TensorList)
+  schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor2
+    name: self
     type: at::TensorList
   - annotation: null
-    default: 1
+    default: 2
     dynamic_type: const at::Scalar &
     is_nullable: false
-    name: value
+    name: ord
     type: const at::Scalar &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -191529,12 +202473,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_addcmul_out
-  operator_name: _foreach_addcmul
-  overload_name: Scalar_out
+- name: _foreach_pow_out
+  operator_name: _foreach_pow
+  overload_name: List_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_addcmul.Scalar_out(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar value=1, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_pow.List_out(Tensor[] self, Tensor[] exponent, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -191551,41 +202495,75 @@
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor1
+    name: exponent
     type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList)
+  schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor2
+    name: self
     type: at::TensorList
   - annotation: null
-    default: 1
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: value
-    type: const at::Scalar &
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, const at::Scalar &, at::TensorList)
-  schema_order_arguments:
-  - annotation: null
+    name: exponent
+    type: at::TensorList
+  - allocate: true
+    annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
-    name: self
+    name: out
+    output: true
+    type: at::TensorList
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foreach_pow_out
+  operator_name: _foreach_pow
+  overload_name: Scalar_out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foreach_pow.Scalar_out(Tensor[] self, Scalar exponent, *, Tensor(a!)[] out) -> ()
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: out
+    output: true
     type: at::TensorList
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor1
+    name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: exponent
+    type: const at::Scalar &
+  schema_order_cpp_signature: void (at::TensorList, const at::Scalar &, at::TensorList)
+  schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor2
+    name: self
     type: at::TensorList
   - annotation: null
-    default: 1
     dynamic_type: const at::Scalar &
     is_nullable: false
-    name: value
+    name: exponent
     type: const at::Scalar &
   - allocate: true
     annotation: a!
@@ -191607,12 +202585,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_addcdiv_out
-  operator_name: _foreach_addcdiv
+- name: _foreach_pow_out
+  operator_name: _foreach_pow
   overload_name: ScalarList_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_addcdiv.ScalarList_out(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar[] scalars, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_pow.ScalarList_out(Tensor[] self, Scalar[] exponent, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -191626,42 +202604,22 @@
     is_nullable: false
     name: self
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor1
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor2
-    type: at::TensorList
   - annotation: null
     dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    name: scalars
+    name: exponent
     type: at::ArrayRef<at::Scalar>
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, at::ArrayRef<at::Scalar>, at::TensorList)
+  schema_order_cpp_signature: void (at::TensorList, at::ArrayRef<at::Scalar>, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor1
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor2
-    type: at::TensorList
   - annotation: null
     dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    name: scalars
+    name: exponent
     type: at::ArrayRef<at::Scalar>
   - allocate: true
     annotation: a!
@@ -191683,12 +202641,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_addcdiv_out
-  operator_name: _foreach_addcdiv
-  overload_name: Tensor_out
+- name: _foreach_reciprocal_out
+  operator_name: _foreach_reciprocal
+  overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_addcdiv.Tensor_out(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Tensor scalars, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_reciprocal.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -191702,43 +202660,59 @@
     is_nullable: false
     name: self
     type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+  schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor1
+    name: self
     type: at::TensorList
-  - annotation: null
+  - allocate: true
+    annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor2
+    name: out
+    output: true
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: scalars
-    type: const at::Tensor &
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, const at::Tensor &, at::TensorList)
-  schema_order_arguments:
-  - annotation: null
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foreach_round_out
+  operator_name: _foreach_round
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foreach_round.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  arguments:
+  - allocate: true
+    annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
-    name: self
+    name: out
+    output: true
     type: at::TensorList
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor1
+    name: self
     type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+  schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor2
+    name: self
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: scalars
-    type: const at::Tensor &
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -191759,12 +202733,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_addcmul_out
-  operator_name: _foreach_addcmul
-  overload_name: ScalarList_out
+- name: _foreach_sigmoid_out
+  operator_name: _foreach_sigmoid
+  overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_addcmul.ScalarList_out(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar[] scalars, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_sigmoid.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -191778,43 +202752,59 @@
     is_nullable: false
     name: self
     type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+  schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor1
+    name: self
     type: at::TensorList
-  - annotation: null
+  - allocate: true
+    annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor2
+    name: out
+    output: true
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
-    is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, at::ArrayRef<at::Scalar>, at::TensorList)
-  schema_order_arguments:
-  - annotation: null
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foreach_sign_out
+  operator_name: _foreach_sign
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foreach_sign.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  arguments:
+  - allocate: true
+    annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
-    name: self
+    name: out
+    output: true
     type: at::TensorList
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor1
+    name: self
     type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+  schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor2
+    name: self
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
-    is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -191835,12 +202825,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_addcmul_out
-  operator_name: _foreach_addcmul
-  overload_name: Tensor_out
+- name: _foreach_sin_out
+  operator_name: _foreach_sin
+  overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_addcmul.Tensor_out(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Tensor scalars, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_sin.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -191854,43 +202844,59 @@
     is_nullable: false
     name: self
     type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+  schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor1
+    name: self
     type: at::TensorList
-  - annotation: null
+  - allocate: true
+    annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor2
+    name: out
+    output: true
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: scalars
-    type: const at::Tensor &
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, const at::Tensor &, at::TensorList)
-  schema_order_arguments:
-  - annotation: null
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foreach_sinh_out
+  operator_name: _foreach_sinh
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foreach_sinh.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  arguments:
+  - allocate: true
+    annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
-    name: self
+    name: out
+    output: true
     type: at::TensorList
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor1
+    name: self
     type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+  schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor2
+    name: self
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: scalars
-    type: const at::Tensor &
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -191911,12 +202917,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_norm_out
-  operator_name: _foreach_norm
-  overload_name: Scalar_out
+- name: _foreach_sqrt_out
+  operator_name: _foreach_sqrt
+  overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_norm.Scalar_out(Tensor[] self, Scalar ord=2, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_sqrt.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -191930,25 +202936,13 @@
     is_nullable: false
     name: self
     type: at::TensorList
-  - annotation: null
-    default: 2
-    dynamic_type: const at::Scalar &
-    is_nullable: false
-    name: ord
-    type: const at::Scalar &
-  schema_order_cpp_signature: void (at::TensorList, const at::Scalar &, at::TensorList)
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  - annotation: null
-    default: 2
-    dynamic_type: const at::Scalar &
-    is_nullable: false
-    name: ord
-    type: const at::Scalar &
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -191969,12 +202963,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_lerp_out
-  operator_name: _foreach_lerp
-  overload_name: List_out
+- name: _foreach_tan_out
+  operator_name: _foreach_tan
+  overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_lerp.List_out(Tensor[] self, Tensor[] tensors1, Tensor[] weights, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_tan.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -191988,32 +202982,58 @@
     is_nullable: false
     name: self
     type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+  schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensors1
+    name: self
     type: at::TensorList
-  - annotation: null
+  - allocate: true
+    annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
-    name: weights
+    name: out
+    output: true
     type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, at::TensorList)
-  schema_order_arguments:
-  - annotation: null
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foreach_tanh_out
+  operator_name: _foreach_tanh
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foreach_tanh.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  arguments:
+  - allocate: true
+    annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
-    name: self
+    name: out
+    output: true
     type: at::TensorList
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensors1
+    name: self
     type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+  schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: weights
+    name: self
     type: at::TensorList
   - allocate: true
     annotation: a!
@@ -192035,12 +203055,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_lerp_out
-  operator_name: _foreach_lerp
-  overload_name: Scalar_out
+- name: _foreach_trunc_out
+  operator_name: _foreach_trunc
+  overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_lerp.Scalar_out(Tensor[] self, Tensor[] tensors1, Scalar weight, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_trunc.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -192054,33 +203074,59 @@
     is_nullable: false
     name: self
     type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+  schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensors1
+    name: self
     type: at::TensorList
-  - annotation: null
-    dynamic_type: const at::Scalar &
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: weight
-    type: const at::Scalar &
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, const at::Scalar &, at::TensorList)
-  schema_order_arguments:
-  - annotation: null
+    name: out
+    output: true
+    type: at::TensorList
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foreach_zero_out
+  operator_name: _foreach_zero
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foreach_zero.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  arguments:
+  - allocate: true
+    annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
-    name: self
+    name: out
+    output: true
     type: at::TensorList
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensors1
+    name: self
     type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+  schema_order_arguments:
   - annotation: null
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: weight
-    type: const at::Scalar &
+    name: self
+    type: at::TensorList
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -192101,86 +203147,103 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: bucketize_out
-  operator_name: bucketize
-  overload_name: Scalar_out
+- name: _foreach_zero
+  operator_name: _foreach_zero
+  overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::bucketize.Scalar_out(Scalar self, Tensor boundaries, *, bool out_int32=False, bool right=False, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::_foreach_zero(Tensor[] self) -> Tensor[] self_out
+  arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::TensorList
+    field_name: self_out
+    name: self_out
+    type: ::std::vector<at::Tensor>
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foreach_copy_out
+  operator_name: _foreach_copy
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foreach_copy.out(Tensor[] self, Tensor[] src, bool non_blocking=False, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
-    dynamic_type: at::Tensor
+    dynamic_type: at::TensorList
     is_nullable: false
     name: out
     output: true
-    type: at::Tensor &
+    type: at::TensorList
   - annotation: null
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::TensorList
     is_nullable: false
     name: self
-    type: const at::Scalar &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: boundaries
-    type: const at::Tensor &
+    type: at::TensorList
   - annotation: null
-    default: false
-    dynamic_type: bool
+    dynamic_type: at::TensorList
     is_nullable: false
-    kwarg_only: true
-    name: out_int32
-    type: bool
+    name: src
+    type: at::TensorList
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
-    kwarg_only: true
-    name: right
+    name: non_blocking
     type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Scalar &, const at::Tensor &, bool, bool, at::Tensor &)
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, bool, at::TensorList)
   schema_order_arguments:
   - annotation: null
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::TensorList
     is_nullable: false
     name: self
-    type: const at::Scalar &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: boundaries
-    type: const at::Tensor &
+    type: at::TensorList
   - annotation: null
-    default: false
-    dynamic_type: bool
+    dynamic_type: at::TensorList
     is_nullable: false
-    kwarg_only: true
-    name: out_int32
-    type: bool
+    name: src
+    type: at::TensorList
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
-    kwarg_only: true
-    name: right
+    name: non_blocking
     type: bool
   - allocate: true
     annotation: a!
-    dynamic_type: at::Tensor
+    dynamic_type: at::TensorList
     is_nullable: false
     name: out
     output: true
-    type: at::Tensor &
+    type: at::TensorList
   method_of:
   - Type
   - namespace
   mode: native
   python_module: ''
-  returns:
-  - dynamic_type: at::Tensor
-    name: out
-    type: at::Tensor &
+  returns: []
   inplace: false
   is_factory_method: false
   abstract: true
@@ -192188,12 +203251,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: searchsorted_out
-  operator_name: searchsorted
+- name: bucketize_out
+  operator_name: bucketize
   overload_name: Scalar_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::searchsorted.Scalar_out(Tensor sorted_sequence, Scalar self, *, bool out_int32=False, bool right=False, str? side=None, Tensor? sorter=None, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::bucketize.Scalar_out(Scalar self, Tensor boundaries, *, bool out_int32=False, bool right=False, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -192202,16 +203265,16 @@
     name: out
     output: true
     type: at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: sorted_sequence
-    type: const at::Tensor &
   - annotation: null
     dynamic_type: const at::Scalar &
     is_nullable: false
     name: self
     type: const at::Scalar &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: boundaries
+    type: const at::Tensor &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -192226,32 +203289,18 @@
     kwarg_only: true
     name: right
     type: bool
-  - annotation: null
-    default: c10::nullopt
-    dynamic_type: c10::string_view
-    is_nullable: true
-    kwarg_only: true
-    name: side
-    type: c10::optional<c10::string_view>
-  - annotation: null
-    default: '{}'
-    dynamic_type: at::Tensor
-    is_nullable: true
-    kwarg_only: true
-    name: sorter
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Scalar &, bool, bool, c10::optional<c10::string_view>, const c10::optional<at::Tensor> &, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Scalar &, const at::Tensor &, bool, bool, at::Tensor &)
   schema_order_arguments:
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: sorted_sequence
-    type: const at::Tensor &
   - annotation: null
     dynamic_type: const at::Scalar &
     is_nullable: false
     name: self
     type: const at::Scalar &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: boundaries
+    type: const at::Tensor &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -192266,20 +203315,6 @@
     kwarg_only: true
     name: right
     type: bool
-  - annotation: null
-    default: c10::nullopt
-    dynamic_type: c10::string_view
-    is_nullable: true
-    kwarg_only: true
-    name: side
-    type: c10::optional<c10::string_view>
-  - annotation: null
-    default: '{}'
-    dynamic_type: at::Tensor
-    is_nullable: true
-    kwarg_only: true
-    name: sorter
-    type: const c10::optional<at::Tensor> &
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -192953,7 +203988,7 @@
   overload_name: output_mask_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_slow_conv2d_backward.output_mask_out(Tensor grad_output, Tensor self, Tensor weight, int[2] kernel_size, int[2] stride, int[2] padding, bool[3] output_mask, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!))
+  schema_string: aten::_slow_conv2d_backward.output_mask_out(Tensor grad_output, Tensor self, Tensor weight, SymInt[2] kernel_size, SymInt[2] stride, SymInt[2] padding, bool[3] output_mask, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!))
   arguments:
   - allocate: true
     annotation: a!
@@ -193102,7 +204137,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::conv_depthwise3d.out(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias, int[3] stride, SymInt[3] padding, int[3] dilation, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::conv_depthwise3d.out(Tensor self, Tensor weight, SymInt[3] kernel_size, Tensor? bias, SymInt[3] stride, SymInt[3] padding, SymInt[3] dilation, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -193131,7 +204166,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -193150,7 +204185,7 @@
     name: dilation
     size: 3
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -193172,7 +204207,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -193219,7 +204254,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::slow_conv_dilated2d.out(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias=None, int[2] stride=1, SymInt[2] padding=0, int[2] dilation=1, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::slow_conv_dilated2d.out(Tensor self, Tensor weight, SymInt[2] kernel_size, Tensor? bias=None, SymInt[2] stride=1, SymInt[2] padding=0, SymInt[2] dilation=1, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -193249,7 +204284,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -193271,7 +204306,7 @@
     name: dilation
     size: 2
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -193294,7 +204329,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -193344,7 +204379,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::slow_conv_dilated3d.out(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias=None, int[3] stride=1, SymInt[3] padding=0, int[3] dilation=1, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::slow_conv_dilated3d.out(Tensor self, Tensor weight, SymInt[3] kernel_size, Tensor? bias=None, SymInt[3] stride=1, SymInt[3] padding=0, SymInt[3] dilation=1, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -193374,7 +204409,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -193396,7 +204431,7 @@
     name: dilation
     size: 3
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -193419,7 +204454,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -193705,8 +204740,8 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: addends
-    type: c10::optional<at::ArrayRef<double>>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<at::ArrayRef<double>>, at::Tensor &)
+    type: ::std::optional<at::ArrayRef<double>>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<at::ArrayRef<double>>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -193717,7 +204752,7 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: addends
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -193918,21 +204953,21 @@
     is_nullable: true
     kwarg_only: true
     name: lengths
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: indices
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: offsets
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 0
     dynamic_type: int64_t
@@ -193948,13 +204983,13 @@
     name: unsafe
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: initial
-    type: const c10::optional<at::Scalar> &
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::string_view, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, int64_t, bool, const c10::optional<at::Scalar> &, at::Tensor &)
+    type: const ::std::optional<at::Scalar> &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::string_view, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, int64_t, bool, const ::std::optional<at::Scalar> &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -193972,21 +205007,21 @@
     is_nullable: true
     kwarg_only: true
     name: lengths
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: indices
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: offsets
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 0
     dynamic_type: int64_t
@@ -194002,12 +205037,12 @@
     name: unsafe
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: initial
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -194071,14 +205106,14 @@
     is_nullable: true
     kwarg_only: true
     name: lengths
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: offsets
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 0
     dynamic_type: int64_t
@@ -194087,13 +205122,13 @@
     name: axis
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: initial
-    type: const c10::optional<at::Scalar> &
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, c10::string_view, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, int64_t, const c10::optional<at::Scalar> &, at::Tensor &)
+    type: const ::std::optional<at::Scalar> &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, c10::string_view, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, int64_t, const ::std::optional<at::Scalar> &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -194121,14 +205156,14 @@
     is_nullable: true
     kwarg_only: true
     name: lengths
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: offsets
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 0
     dynamic_type: int64_t
@@ -194137,12 +205172,12 @@
     name: axis
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: initial
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -194186,30 +205221,30 @@
     name: list
     type: at::TensorList
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     name: pin_memory
-    type: c10::optional<bool>
-  schema_order_cpp_signature: at::Tensor & (at::TensorList, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>, at::Tensor &)
+    type: ::std::optional<bool>
+  schema_order_cpp_signature: at::Tensor & (at::TensorList, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -194217,29 +205252,29 @@
     name: list
     type: at::TensorList
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -194617,12 +205652,12 @@
     name: stride
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: storage_offset
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, c10::optional<int64_t>, at::Tensor &)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, ::std::optional<int64_t>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -194640,11 +205675,11 @@
     name: stride
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: storage_offset
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -195157,24 +206192,24 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: start
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: end
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: 1
     dynamic_type: int64_t
     is_nullable: false
     name: step
     type: int64_t
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, c10::optional<int64_t>, c10::optional<int64_t>, int64_t, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, ::std::optional<int64_t>, ::std::optional<int64_t>, int64_t, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -195188,17 +206223,17 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: start
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: end
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: 1
     dynamic_type: int64_t
@@ -196235,7 +207270,7 @@
     name: padding
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: output_size
@@ -196253,7 +207288,7 @@
     name: padding
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: output_size
@@ -196390,14 +207425,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: mask
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: mask_type
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, int64_t, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, bool, bool, double, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, c10::optional<int64_t>, at::Tensor &)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, int64_t, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, bool, bool, double, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, ::std::optional<int64_t>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -196494,13 +207529,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: mask
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: mask_type
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -196595,7 +207630,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: mask
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: true
     dynamic_type: bool
@@ -196609,12 +207644,12 @@
     name: average_attn_weights
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: mask_type
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, int64_t, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, bool, bool, c10::optional<int64_t>, at::Tensor &, at::Tensor &)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, int64_t, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, bool, bool, ::std::optional<int64_t>, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -196666,7 +207701,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: mask
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: true
     dynamic_type: bool
@@ -196680,11 +207715,11 @@
     name: average_attn_weights
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: mask_type
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -196863,76 +207898,1637 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: mask
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, int64_t, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::Tensor &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, int64_t, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: query
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: key
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: value
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: embed_dim
+    type: int64_t
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: num_head
+    type: int64_t
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: qkv_weight
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: qkv_bias
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: proj_weight
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: proj_bias
+    type: const at::Tensor &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: mask
+    type: const ::std::optional<at::Tensor> &
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foobar_out
+  operator_name: _foobar
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foobar.out(Tensor self, bool arg1=True, bool arg2=True, *, bool arg3=True, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    default: true
+    dynamic_type: bool
+    is_nullable: false
+    name: arg1
+    type: bool
+  - annotation: null
+    default: true
+    dynamic_type: bool
+    is_nullable: false
+    name: arg2
+    type: bool
+  - annotation: null
+    default: true
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: arg3
+    type: bool
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, bool, bool, bool, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    default: true
+    dynamic_type: bool
+    is_nullable: false
+    name: arg1
+    type: bool
+  - annotation: null
+    default: true
+    dynamic_type: bool
+    is_nullable: false
+    name: arg2
+    type: bool
+  - annotation: null
+    default: true
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: arg3
+    type: bool
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _fused_adam_out
+  operator_name: _fused_adam
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_fused_adam.out(Tensor[] self, Tensor(b!)[] grads, Tensor(c!)[] exp_avgs, Tensor(d!)[] exp_avg_sqs, Tensor(e!)[] max_exp_avg_sqs, Tensor[] state_steps, *, float lr, float beta1, float beta2, float weight_decay, float eps, bool amsgrad, bool maximize, Tensor? grad_scale=None, Tensor? found_inf=None, Tensor(a!)[] out) -> ()
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: out
+    output: true
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: b!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: c!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avgs
+    type: at::TensorList
+  - annotation: d!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avg_sqs
+    type: at::TensorList
+  - annotation: e!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: max_exp_avg_sqs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: state_steps
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta1
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta2
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: eps
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: amsgrad
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: maximize
+    type: bool
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, double, double, double, double, double, bool, bool, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, at::TensorList)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: b!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: c!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avgs
+    type: at::TensorList
+  - annotation: d!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avg_sqs
+    type: at::TensorList
+  - annotation: e!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: max_exp_avg_sqs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: state_steps
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta1
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta2
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: eps
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: amsgrad
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: maximize
+    type: bool
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: out
+    output: true
+    type: at::TensorList
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _fused_adam
+  operator_name: _fused_adam
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_fused_adam(Tensor[] self, Tensor[] grads, Tensor[] exp_avgs, Tensor[] exp_avg_sqs, Tensor[] max_exp_avg_sqs, Tensor[] state_steps, *, float lr, float beta1, float beta2, float weight_decay, float eps, bool amsgrad, bool maximize, Tensor? grad_scale=None, Tensor? found_inf=None) -> (Tensor[] self_out, Tensor[] grads_out, Tensor[] exp_avgs_out, Tensor[] exp_avg_sqs_out, Tensor[] max_exp_avg_sqs_out)
+  arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avgs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avg_sqs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: max_exp_avg_sqs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: state_steps
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta1
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta2
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: eps
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: amsgrad
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: maximize
+    type: bool
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: ::std::tuple<::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>> (at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, double, double, double, double, double, bool, bool, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avgs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avg_sqs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: max_exp_avg_sqs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: state_steps
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta1
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta2
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: eps
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: amsgrad
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: maximize
+    type: bool
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::TensorList
+    field_name: self_out
+    name: self_out
+    type: ::std::vector<at::Tensor>
+  - dynamic_type: at::TensorList
+    field_name: grads_out
+    name: grads_out
+    type: ::std::vector<at::Tensor>
+  - dynamic_type: at::TensorList
+    field_name: exp_avgs_out
+    name: exp_avgs_out
+    type: ::std::vector<at::Tensor>
+  - dynamic_type: at::TensorList
+    field_name: exp_avg_sqs_out
+    name: exp_avg_sqs_out
+    type: ::std::vector<at::Tensor>
+  - dynamic_type: at::TensorList
+    field_name: max_exp_avg_sqs_out
+    name: max_exp_avg_sqs_out
+    type: ::std::vector<at::Tensor>
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _fused_adam_out
+  operator_name: _fused_adam
+  overload_name: tensor_lr_out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_fused_adam.tensor_lr_out(Tensor[] self, Tensor(b!)[] grads, Tensor(c!)[] exp_avgs, Tensor(d!)[] exp_avg_sqs, Tensor(e!)[] max_exp_avg_sqs, Tensor[] state_steps, *, Tensor lr, float beta1, float beta2, float weight_decay, float eps, bool amsgrad, bool maximize, Tensor? grad_scale=None, Tensor? found_inf=None, Tensor(a!)[] out) -> ()
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: out
+    output: true
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: b!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: c!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avgs
+    type: at::TensorList
+  - annotation: d!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avg_sqs
+    type: at::TensorList
+  - annotation: e!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: max_exp_avg_sqs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: state_steps
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta1
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta2
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: eps
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: amsgrad
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: maximize
+    type: bool
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, const at::Tensor &, double, double, double, double, bool, bool, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, at::TensorList)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: b!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: c!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avgs
+    type: at::TensorList
+  - annotation: d!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avg_sqs
+    type: at::TensorList
+  - annotation: e!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: max_exp_avg_sqs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: state_steps
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta1
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta2
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: eps
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: amsgrad
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: maximize
+    type: bool
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: out
+    output: true
+    type: at::TensorList
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _fused_adam
+  operator_name: _fused_adam
+  overload_name: tensor_lr
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_fused_adam.tensor_lr(Tensor[] self, Tensor[] grads, Tensor[] exp_avgs, Tensor[] exp_avg_sqs, Tensor[] max_exp_avg_sqs, Tensor[] state_steps, *, Tensor lr, float beta1, float beta2, float weight_decay, float eps, bool amsgrad, bool maximize, Tensor? grad_scale=None, Tensor? found_inf=None) -> (Tensor[] self_out, Tensor[] grads_out, Tensor[] exp_avgs_out, Tensor[] exp_avg_sqs_out, Tensor[] max_exp_avg_sqs_out)
+  arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avgs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avg_sqs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: max_exp_avg_sqs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: state_steps
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta1
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta2
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: eps
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: amsgrad
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: maximize
+    type: bool
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: ::std::tuple<::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>> (at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, const at::Tensor &, double, double, double, double, bool, bool, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avgs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avg_sqs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: max_exp_avg_sqs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: state_steps
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta1
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta2
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: eps
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: amsgrad
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: maximize
+    type: bool
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::TensorList
+    field_name: self_out
+    name: self_out
+    type: ::std::vector<at::Tensor>
+  - dynamic_type: at::TensorList
+    field_name: grads_out
+    name: grads_out
+    type: ::std::vector<at::Tensor>
+  - dynamic_type: at::TensorList
+    field_name: exp_avgs_out
+    name: exp_avgs_out
+    type: ::std::vector<at::Tensor>
+  - dynamic_type: at::TensorList
+    field_name: exp_avg_sqs_out
+    name: exp_avg_sqs_out
+    type: ::std::vector<at::Tensor>
+  - dynamic_type: at::TensorList
+    field_name: max_exp_avg_sqs_out
+    name: max_exp_avg_sqs_out
+    type: ::std::vector<at::Tensor>
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _fused_adamw_out
+  operator_name: _fused_adamw
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_fused_adamw.out(Tensor[] self, Tensor(b!)[] grads, Tensor(c!)[] exp_avgs, Tensor(d!)[] exp_avg_sqs, Tensor(e!)[] max_exp_avg_sqs, Tensor[] state_steps, *, float lr, float beta1, float beta2, float weight_decay, float eps, bool amsgrad, bool maximize, Tensor? grad_scale=None, Tensor? found_inf=None, Tensor(a!)[] out) -> ()
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: out
+    output: true
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: b!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: c!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avgs
+    type: at::TensorList
+  - annotation: d!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avg_sqs
+    type: at::TensorList
+  - annotation: e!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: max_exp_avg_sqs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: state_steps
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta1
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta2
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: eps
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: amsgrad
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: maximize
+    type: bool
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, double, double, double, double, double, bool, bool, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, at::TensorList)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: b!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: c!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avgs
+    type: at::TensorList
+  - annotation: d!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avg_sqs
+    type: at::TensorList
+  - annotation: e!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: max_exp_avg_sqs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: state_steps
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta1
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta2
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: eps
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: amsgrad
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: maximize
+    type: bool
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: out
+    output: true
+    type: at::TensorList
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _fused_adamw
+  operator_name: _fused_adamw
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_fused_adamw(Tensor[] self, Tensor[] grads, Tensor[] exp_avgs, Tensor[] exp_avg_sqs, Tensor[] max_exp_avg_sqs, Tensor[] state_steps, *, float lr, float beta1, float beta2, float weight_decay, float eps, bool amsgrad, bool maximize, Tensor? grad_scale=None, Tensor? found_inf=None) -> (Tensor[] self_out, Tensor[] grads_out, Tensor[] exp_avgs_out, Tensor[] exp_avg_sqs_out, Tensor[] max_exp_avg_sqs_out)
+  arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avgs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avg_sqs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: max_exp_avg_sqs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: state_steps
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta1
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta2
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: eps
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: amsgrad
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: maximize
+    type: bool
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: ::std::tuple<::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>> (at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, double, double, double, double, double, bool, bool, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avgs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avg_sqs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: max_exp_avg_sqs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: state_steps
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta1
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta2
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: eps
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: amsgrad
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: maximize
+    type: bool
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::TensorList
+    field_name: self_out
+    name: self_out
+    type: ::std::vector<at::Tensor>
+  - dynamic_type: at::TensorList
+    field_name: grads_out
+    name: grads_out
+    type: ::std::vector<at::Tensor>
+  - dynamic_type: at::TensorList
+    field_name: exp_avgs_out
+    name: exp_avgs_out
+    type: ::std::vector<at::Tensor>
+  - dynamic_type: at::TensorList
+    field_name: exp_avg_sqs_out
+    name: exp_avg_sqs_out
+    type: ::std::vector<at::Tensor>
+  - dynamic_type: at::TensorList
+    field_name: max_exp_avg_sqs_out
+    name: max_exp_avg_sqs_out
+    type: ::std::vector<at::Tensor>
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _fused_adamw_out
+  operator_name: _fused_adamw
+  overload_name: tensor_lr_out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_fused_adamw.tensor_lr_out(Tensor[] self, Tensor(b!)[] grads, Tensor(c!)[] exp_avgs, Tensor(d!)[] exp_avg_sqs, Tensor(e!)[] max_exp_avg_sqs, Tensor[] state_steps, *, Tensor lr, float beta1, float beta2, float weight_decay, float eps, bool amsgrad, bool maximize, Tensor? grad_scale=None, Tensor? found_inf=None, Tensor(a!)[] out) -> ()
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: out
+    output: true
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: b!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: c!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avgs
+    type: at::TensorList
+  - annotation: d!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avg_sqs
+    type: at::TensorList
+  - annotation: e!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: max_exp_avg_sqs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: state_steps
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta1
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta2
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: eps
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: amsgrad
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: maximize
+    type: bool
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, const at::Tensor &, double, double, double, double, bool, bool, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, at::TensorList)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: b!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: c!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avgs
+    type: at::TensorList
+  - annotation: d!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avg_sqs
+    type: at::TensorList
+  - annotation: e!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: max_exp_avg_sqs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: query
-    type: const at::Tensor &
+    name: state_steps
+    type: at::TensorList
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: key
+    kwarg_only: true
+    name: lr
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: double
     is_nullable: false
-    name: value
-    type: const at::Tensor &
+    kwarg_only: true
+    name: beta1
+    type: double
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: double
     is_nullable: false
-    name: embed_dim
-    type: int64_t
+    kwarg_only: true
+    name: beta2
+    type: double
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: double
     is_nullable: false
-    name: num_head
-    type: int64_t
+    kwarg_only: true
+    name: weight_decay
+    type: double
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: double
     is_nullable: false
-    name: qkv_weight
-    type: const at::Tensor &
+    kwarg_only: true
+    name: eps
+    type: double
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: bool
     is_nullable: false
-    name: qkv_bias
-    type: const at::Tensor &
+    kwarg_only: true
+    name: amsgrad
+    type: bool
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: bool
     is_nullable: false
-    name: proj_weight
-    type: const at::Tensor &
+    kwarg_only: true
+    name: maximize
+    type: bool
   - annotation: null
+    default: '{}'
     dynamic_type: at::Tensor
-    is_nullable: false
-    name: proj_bias
-    type: const at::Tensor &
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
-    name: mask
-    type: const c10::optional<at::Tensor> &
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
   - allocate: true
     annotation: a!
-    dynamic_type: at::Tensor
+    dynamic_type: at::TensorList
     is_nullable: false
     name: out
     output: true
-    type: at::Tensor &
+    type: at::TensorList
   method_of:
   - Type
   - namespace
   mode: native
   python_module: ''
-  returns:
-  - dynamic_type: at::Tensor
-    name: out
-    type: at::Tensor &
+  returns: []
   inplace: false
   is_factory_method: false
   abstract: true
@@ -196940,288 +209536,213 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _transformer_decoder_only_layer_fwd_out
-  operator_name: _transformer_decoder_only_layer_fwd
-  overload_name: out
+- name: _fused_adamw
+  operator_name: _fused_adamw
+  overload_name: tensor_lr
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_transformer_decoder_only_layer_fwd.out(Tensor src, int embed_dim, int num_heads, Tensor qkv_weight, Tensor qkv_bias, Tensor proj_weight, Tensor proj_bias, bool use_gelu, bool norm_first, float eps, Tensor norm_weight_1, Tensor norm_bias_1, Tensor norm_weight_2, Tensor norm_bias_2, Tensor ffn_weight_1, Tensor ffn_bias_1, Tensor ffn_weight_2, Tensor ffn_bias_2, Tensor? mask=None, Tensor? incr_key=None, Tensor? incr_value=None, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!))
+  schema_string: aten::_fused_adamw.tensor_lr(Tensor[] self, Tensor[] grads, Tensor[] exp_avgs, Tensor[] exp_avg_sqs, Tensor[] max_exp_avg_sqs, Tensor[] state_steps, *, Tensor lr, float beta1, float beta2, float weight_decay, float eps, bool amsgrad, bool maximize, Tensor? grad_scale=None, Tensor? found_inf=None) -> (Tensor[] self_out, Tensor[] grads_out, Tensor[] exp_avgs_out, Tensor[] exp_avg_sqs_out, Tensor[] max_exp_avg_sqs_out)
   arguments:
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out0
-    output: true
-    type: at::Tensor &
-  - allocate: true
-    annotation: b!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out1
-    output: true
-    type: at::Tensor &
-  - allocate: true
-    annotation: c!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out2
-    output: true
-    type: at::Tensor &
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: src
-    type: const at::Tensor &
+    name: self
+    type: at::TensorList
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: embed_dim
-    type: int64_t
+    name: grads
+    type: at::TensorList
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: num_heads
-    type: int64_t
+    name: exp_avgs
+    type: at::TensorList
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: qkv_weight
-    type: const at::Tensor &
+    name: exp_avg_sqs
+    type: at::TensorList
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: qkv_bias
-    type: const at::Tensor &
+    name: max_exp_avg_sqs
+    type: at::TensorList
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: proj_weight
-    type: const at::Tensor &
+    name: state_steps
+    type: at::TensorList
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: proj_bias
+    kwarg_only: true
+    name: lr
     type: const at::Tensor &
-  - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    name: use_gelu
-    type: bool
-  - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    name: norm_first
-    type: bool
   - annotation: null
     dynamic_type: double
     is_nullable: false
-    name: eps
+    kwarg_only: true
+    name: beta1
     type: double
   - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: norm_weight_1
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: norm_bias_1
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: norm_weight_2
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: double
     is_nullable: false
-    name: norm_bias_2
-    type: const at::Tensor &
+    kwarg_only: true
+    name: beta2
+    type: double
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: double
     is_nullable: false
-    name: ffn_weight_1
-    type: const at::Tensor &
+    kwarg_only: true
+    name: weight_decay
+    type: double
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: double
     is_nullable: false
-    name: ffn_bias_1
-    type: const at::Tensor &
+    kwarg_only: true
+    name: eps
+    type: double
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: bool
     is_nullable: false
-    name: ffn_weight_2
-    type: const at::Tensor &
+    kwarg_only: true
+    name: amsgrad
+    type: bool
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: bool
     is_nullable: false
-    name: ffn_bias_2
-    type: const at::Tensor &
-  - annotation: null
-    default: '{}'
-    dynamic_type: at::Tensor
-    is_nullable: true
-    name: mask
-    type: const c10::optional<at::Tensor> &
+    kwarg_only: true
+    name: maximize
+    type: bool
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
-    name: incr_key
-    type: const c10::optional<at::Tensor> &
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
-    name: incr_value
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, int64_t, int64_t, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, bool, bool, double, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, at::Tensor &, at::Tensor &, at::Tensor &)
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: ::std::tuple<::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>> (at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, const at::Tensor &, double, double, double, double, bool, bool, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: src
-    type: const at::Tensor &
+    name: self
+    type: at::TensorList
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: embed_dim
-    type: int64_t
+    name: grads
+    type: at::TensorList
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: num_heads
-    type: int64_t
+    name: exp_avgs
+    type: at::TensorList
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: qkv_weight
-    type: const at::Tensor &
+    name: exp_avg_sqs
+    type: at::TensorList
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: qkv_bias
-    type: const at::Tensor &
+    name: max_exp_avg_sqs
+    type: at::TensorList
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: proj_weight
-    type: const at::Tensor &
+    name: state_steps
+    type: at::TensorList
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: proj_bias
+    kwarg_only: true
+    name: lr
     type: const at::Tensor &
-  - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    name: use_gelu
-    type: bool
-  - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    name: norm_first
-    type: bool
   - annotation: null
     dynamic_type: double
     is_nullable: false
-    name: eps
+    kwarg_only: true
+    name: beta1
     type: double
   - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: norm_weight_1
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: norm_bias_1
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: norm_weight_2
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: double
     is_nullable: false
-    name: norm_bias_2
-    type: const at::Tensor &
+    kwarg_only: true
+    name: beta2
+    type: double
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: double
     is_nullable: false
-    name: ffn_weight_1
-    type: const at::Tensor &
+    kwarg_only: true
+    name: weight_decay
+    type: double
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: double
     is_nullable: false
-    name: ffn_bias_1
-    type: const at::Tensor &
+    kwarg_only: true
+    name: eps
+    type: double
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: bool
     is_nullable: false
-    name: ffn_weight_2
-    type: const at::Tensor &
+    kwarg_only: true
+    name: amsgrad
+    type: bool
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: bool
     is_nullable: false
-    name: ffn_bias_2
-    type: const at::Tensor &
-  - annotation: null
-    default: '{}'
-    dynamic_type: at::Tensor
-    is_nullable: true
-    name: mask
-    type: const c10::optional<at::Tensor> &
+    kwarg_only: true
+    name: maximize
+    type: bool
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
-    name: incr_key
-    type: const c10::optional<at::Tensor> &
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
-    name: incr_value
-    type: const c10::optional<at::Tensor> &
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out0
-    output: true
-    type: at::Tensor &
-  - allocate: true
-    annotation: b!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out1
-    output: true
-    type: at::Tensor &
-  - allocate: true
-    annotation: c!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out2
-    output: true
-    type: at::Tensor &
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - namespace
   mode: native
   python_module: ''
   returns:
-  - dynamic_type: at::Tensor
-    name: out0
-    type: at::Tensor &
-  - dynamic_type: at::Tensor
-    name: out1
-    type: at::Tensor &
-  - dynamic_type: at::Tensor
-    name: out2
-    type: at::Tensor &
+  - dynamic_type: at::TensorList
+    field_name: self_out
+    name: self_out
+    type: ::std::vector<at::Tensor>
+  - dynamic_type: at::TensorList
+    field_name: grads_out
+    name: grads_out
+    type: ::std::vector<at::Tensor>
+  - dynamic_type: at::TensorList
+    field_name: exp_avgs_out
+    name: exp_avgs_out
+    type: ::std::vector<at::Tensor>
+  - dynamic_type: at::TensorList
+    field_name: exp_avg_sqs_out
+    name: exp_avg_sqs_out
+    type: ::std::vector<at::Tensor>
+  - dynamic_type: at::TensorList
+    field_name: max_exp_avg_sqs_out
+    name: max_exp_avg_sqs_out
+    type: ::std::vector<at::Tensor>
   inplace: false
   is_factory_method: false
   abstract: true
@@ -197229,239 +209750,177 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _native_decoder_only_multi_head_attention_out
-  operator_name: _native_decoder_only_multi_head_attention
+- name: _fused_sgd_out
+  operator_name: _fused_sgd
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_native_decoder_only_multi_head_attention.out(Tensor query, Tensor key, Tensor value, int embed_dim, int num_head, Tensor qkv_weight, Tensor qkv_bias, Tensor proj_weight, Tensor proj_bias, Tensor? mask=None, Tensor? incr_key=None, Tensor? incr_value=None, bool need_weights=True, bool average_attn_weights=True, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2, Tensor(d!) out3) -> (Tensor(a!), Tensor(b!), Tensor(c!), Tensor(d!))
+  schema_string: aten::_fused_sgd.out(Tensor[] self, Tensor(b!)[] grads, Tensor(c!)[] momentum_buffer_list, *, float weight_decay, float momentum, float lr, float dampening, bool nesterov, bool maximize, bool is_first_step, Tensor? grad_scale=None, Tensor? found_inf=None, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out0
-    output: true
-    type: at::Tensor &
-  - allocate: true
-    annotation: b!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out1
-    output: true
-    type: at::Tensor &
-  - allocate: true
-    annotation: c!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out2
-    output: true
-    type: at::Tensor &
-  - allocate: true
-    annotation: d!
-    dynamic_type: at::Tensor
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: out3
+    name: out
     output: true
-    type: at::Tensor &
+    type: at::TensorList
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: query
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
+    name: self
+    type: at::TensorList
+  - annotation: b!
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: key
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
+    name: grads
+    type: at::TensorList
+  - annotation: c!
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: value
-    type: const at::Tensor &
+    name: momentum_buffer_list
+    type: at::TensorList
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: double
     is_nullable: false
-    name: embed_dim
-    type: int64_t
+    kwarg_only: true
+    name: weight_decay
+    type: double
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: double
     is_nullable: false
-    name: num_head
-    type: int64_t
+    kwarg_only: true
+    name: momentum
+    type: double
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: double
     is_nullable: false
-    name: qkv_weight
-    type: const at::Tensor &
+    kwarg_only: true
+    name: lr
+    type: double
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: double
     is_nullable: false
-    name: qkv_bias
-    type: const at::Tensor &
+    kwarg_only: true
+    name: dampening
+    type: double
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: bool
     is_nullable: false
-    name: proj_weight
-    type: const at::Tensor &
+    kwarg_only: true
+    name: nesterov
+    type: bool
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: bool
     is_nullable: false
-    name: proj_bias
-    type: const at::Tensor &
+    kwarg_only: true
+    name: maximize
+    type: bool
   - annotation: null
-    default: '{}'
-    dynamic_type: at::Tensor
-    is_nullable: true
-    name: mask
-    type: const c10::optional<at::Tensor> &
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: is_first_step
+    type: bool
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
-    name: incr_key
-    type: const c10::optional<at::Tensor> &
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
-    name: incr_value
-    type: const c10::optional<at::Tensor> &
-  - annotation: null
-    default: true
-    dynamic_type: bool
-    is_nullable: false
-    name: need_weights
-    type: bool
-  - annotation: null
-    default: true
-    dynamic_type: bool
-    is_nullable: false
-    name: average_attn_weights
-    type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, int64_t, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, bool, bool, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &)
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, double, double, double, double, bool, bool, bool, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, at::TensorList)
   schema_order_arguments:
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: query
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
+    name: self
+    type: at::TensorList
+  - annotation: b!
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: key
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
+    name: grads
+    type: at::TensorList
+  - annotation: c!
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: value
-    type: const at::Tensor &
+    name: momentum_buffer_list
+    type: at::TensorList
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: double
     is_nullable: false
-    name: embed_dim
-    type: int64_t
+    kwarg_only: true
+    name: weight_decay
+    type: double
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: double
     is_nullable: false
-    name: num_head
-    type: int64_t
+    kwarg_only: true
+    name: momentum
+    type: double
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: double
     is_nullable: false
-    name: qkv_weight
-    type: const at::Tensor &
+    kwarg_only: true
+    name: lr
+    type: double
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: double
     is_nullable: false
-    name: qkv_bias
-    type: const at::Tensor &
+    kwarg_only: true
+    name: dampening
+    type: double
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: bool
     is_nullable: false
-    name: proj_weight
-    type: const at::Tensor &
+    kwarg_only: true
+    name: nesterov
+    type: bool
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: bool
     is_nullable: false
-    name: proj_bias
-    type: const at::Tensor &
+    kwarg_only: true
+    name: maximize
+    type: bool
   - annotation: null
-    default: '{}'
-    dynamic_type: at::Tensor
-    is_nullable: true
-    name: mask
-    type: const c10::optional<at::Tensor> &
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: is_first_step
+    type: bool
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
-    name: incr_key
-    type: const c10::optional<at::Tensor> &
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
-    name: incr_value
-    type: const c10::optional<at::Tensor> &
-  - annotation: null
-    default: true
-    dynamic_type: bool
-    is_nullable: false
-    name: need_weights
-    type: bool
-  - annotation: null
-    default: true
-    dynamic_type: bool
-    is_nullable: false
-    name: average_attn_weights
-    type: bool
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
   - allocate: true
     annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out0
-    output: true
-    type: at::Tensor &
-  - allocate: true
-    annotation: b!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out1
-    output: true
-    type: at::Tensor &
-  - allocate: true
-    annotation: c!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out2
-    output: true
-    type: at::Tensor &
-  - allocate: true
-    annotation: d!
-    dynamic_type: at::Tensor
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: out3
+    name: out
     output: true
-    type: at::Tensor &
+    type: at::TensorList
   method_of:
   - Type
   - namespace
   mode: native
   python_module: ''
-  returns:
-  - dynamic_type: at::Tensor
-    name: out0
-    type: at::Tensor &
-  - dynamic_type: at::Tensor
-    name: out1
-    type: at::Tensor &
-  - dynamic_type: at::Tensor
-    name: out2
-    type: at::Tensor &
-  - dynamic_type: at::Tensor
-    name: out3
-    type: at::Tensor &
+  returns: []
   inplace: false
   is_factory_method: false
   abstract: true
@@ -197469,86 +209928,175 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foobar_out
-  operator_name: _foobar
-  overload_name: out
+- name: _fused_sgd
+  operator_name: _fused_sgd
+  overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foobar.out(Tensor self, bool arg1=True, bool arg2=True, *, bool arg3=True, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::_fused_sgd(Tensor[] self, Tensor[] grads, Tensor[] momentum_buffer_list, *, float weight_decay, float momentum, float lr, float dampening, bool nesterov, bool maximize, bool is_first_step, Tensor? grad_scale=None, Tensor? found_inf=None) -> (Tensor[] self_out, Tensor[] grads_out, Tensor[] momentum_buffer_list_out)
   arguments:
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: at::TensorList
     is_nullable: false
     name: self
-    type: const at::Tensor &
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: momentum_buffer_list
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: momentum
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: dampening
+    type: double
   - annotation: null
-    default: true
     dynamic_type: bool
     is_nullable: false
-    name: arg1
+    kwarg_only: true
+    name: nesterov
     type: bool
   - annotation: null
-    default: true
     dynamic_type: bool
     is_nullable: false
-    name: arg2
+    kwarg_only: true
+    name: maximize
     type: bool
   - annotation: null
-    default: true
     dynamic_type: bool
     is_nullable: false
     kwarg_only: true
-    name: arg3
+    name: is_first_step
     type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, bool, bool, bool, at::Tensor &)
-  schema_order_arguments:
   - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
     dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: ::std::tuple<::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>> (at::TensorList, at::TensorList, at::TensorList, double, double, double, double, bool, bool, bool, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
     is_nullable: false
     name: self
-    type: const at::Tensor &
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: momentum_buffer_list
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: momentum
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: dampening
+    type: double
   - annotation: null
-    default: true
     dynamic_type: bool
     is_nullable: false
-    name: arg1
+    kwarg_only: true
+    name: nesterov
     type: bool
   - annotation: null
-    default: true
     dynamic_type: bool
     is_nullable: false
-    name: arg2
+    kwarg_only: true
+    name: maximize
     type: bool
   - annotation: null
-    default: true
     dynamic_type: bool
     is_nullable: false
     kwarg_only: true
-    name: arg3
+    name: is_first_step
     type: bool
-  - allocate: true
-    annotation: a!
+  - annotation: null
+    default: '{}'
     dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - namespace
   mode: native
   python_module: ''
   returns:
-  - dynamic_type: at::Tensor
-    name: out
-    type: at::Tensor &
+  - dynamic_type: at::TensorList
+    field_name: self_out
+    name: self_out
+    type: ::std::vector<at::Tensor>
+  - dynamic_type: at::TensorList
+    field_name: grads_out
+    name: grads_out
+    type: ::std::vector<at::Tensor>
+  - dynamic_type: at::TensorList
+    field_name: momentum_buffer_list_out
+    name: momentum_buffer_list_out
+    type: ::std::vector<at::Tensor>
   inplace: false
   is_factory_method: false
   abstract: true
@@ -197556,12 +210104,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _fused_adam_out
-  operator_name: _fused_adam
-  overload_name: out
+- name: _fused_sgd_out
+  operator_name: _fused_sgd
+  overload_name: tensor_lr_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_fused_adam.out(Tensor[] self, Tensor(b!)[] grads, Tensor(c!)[] exp_avgs, Tensor(d!)[] exp_avg_sqs, Tensor(e!)[] max_exp_avg_sqs, Tensor[] state_steps, *, float lr, float beta1, float beta2, float weight_decay, float eps, bool amsgrad, bool maximize, Tensor? grad_scale=None, Tensor? found_inf=None, Tensor(a!)[] out) -> ()
+  schema_string: aten::_fused_sgd.tensor_lr_out(Tensor[] self, Tensor(b!)[] grads, Tensor(c!)[] momentum_buffer_list, *, float weight_decay, float momentum, Tensor lr, float dampening, bool nesterov, bool maximize, bool is_first_step, Tensor? grad_scale=None, Tensor? found_inf=None, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -197583,64 +210131,49 @@
   - annotation: c!
     dynamic_type: at::TensorList
     is_nullable: false
-    name: exp_avgs
-    type: at::TensorList
-  - annotation: d!
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: exp_avg_sqs
-    type: at::TensorList
-  - annotation: e!
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: max_exp_avg_sqs
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: state_steps
+    name: momentum_buffer_list
     type: at::TensorList
   - annotation: null
     dynamic_type: double
     is_nullable: false
     kwarg_only: true
-    name: lr
+    name: weight_decay
     type: double
   - annotation: null
     dynamic_type: double
     is_nullable: false
     kwarg_only: true
-    name: beta1
+    name: momentum
     type: double
   - annotation: null
-    dynamic_type: double
+    dynamic_type: at::Tensor
     is_nullable: false
     kwarg_only: true
-    name: beta2
-    type: double
+    name: lr
+    type: const at::Tensor &
   - annotation: null
     dynamic_type: double
     is_nullable: false
     kwarg_only: true
-    name: weight_decay
+    name: dampening
     type: double
   - annotation: null
-    dynamic_type: double
+    dynamic_type: bool
     is_nullable: false
     kwarg_only: true
-    name: eps
-    type: double
+    name: nesterov
+    type: bool
   - annotation: null
     dynamic_type: bool
     is_nullable: false
     kwarg_only: true
-    name: amsgrad
+    name: maximize
     type: bool
   - annotation: null
     dynamic_type: bool
     is_nullable: false
     kwarg_only: true
-    name: maximize
+    name: is_first_step
     type: bool
   - annotation: null
     default: '{}'
@@ -197648,15 +210181,15 @@
     is_nullable: true
     kwarg_only: true
     name: grad_scale
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: found_inf
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, double, double, double, double, double, bool, bool, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, at::TensorList)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, double, double, const at::Tensor &, double, bool, bool, bool, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -197671,64 +210204,49 @@
   - annotation: c!
     dynamic_type: at::TensorList
     is_nullable: false
-    name: exp_avgs
-    type: at::TensorList
-  - annotation: d!
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: exp_avg_sqs
-    type: at::TensorList
-  - annotation: e!
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: max_exp_avg_sqs
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: state_steps
+    name: momentum_buffer_list
     type: at::TensorList
   - annotation: null
     dynamic_type: double
     is_nullable: false
     kwarg_only: true
-    name: lr
+    name: weight_decay
     type: double
   - annotation: null
     dynamic_type: double
     is_nullable: false
     kwarg_only: true
-    name: beta1
+    name: momentum
     type: double
   - annotation: null
-    dynamic_type: double
+    dynamic_type: at::Tensor
     is_nullable: false
     kwarg_only: true
-    name: beta2
-    type: double
+    name: lr
+    type: const at::Tensor &
   - annotation: null
     dynamic_type: double
     is_nullable: false
     kwarg_only: true
-    name: weight_decay
+    name: dampening
     type: double
   - annotation: null
-    dynamic_type: double
+    dynamic_type: bool
     is_nullable: false
     kwarg_only: true
-    name: eps
-    type: double
+    name: nesterov
+    type: bool
   - annotation: null
     dynamic_type: bool
     is_nullable: false
     kwarg_only: true
-    name: amsgrad
+    name: maximize
     type: bool
   - annotation: null
     dynamic_type: bool
     is_nullable: false
     kwarg_only: true
-    name: maximize
+    name: is_first_step
     type: bool
   - annotation: null
     default: '{}'
@@ -197736,14 +210254,14 @@
     is_nullable: true
     kwarg_only: true
     name: grad_scale
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: found_inf
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -197764,12 +210282,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _fused_adam
-  operator_name: _fused_adam
-  overload_name: ''
+- name: _fused_sgd
+  operator_name: _fused_sgd
+  overload_name: tensor_lr
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_fused_adam(Tensor[] self, Tensor[] grads, Tensor[] exp_avgs, Tensor[] exp_avg_sqs, Tensor[] max_exp_avg_sqs, Tensor[] state_steps, *, float lr, float beta1, float beta2, float weight_decay, float eps, bool amsgrad, bool maximize, Tensor? grad_scale=None, Tensor? found_inf=None) -> (Tensor[] self_out, Tensor[] grads_out, Tensor[] exp_avgs_out, Tensor[] exp_avg_sqs_out, Tensor[] max_exp_avg_sqs_out)
+  schema_string: aten::_fused_sgd.tensor_lr(Tensor[] self, Tensor[] grads, Tensor[] momentum_buffer_list, *, float weight_decay, float momentum, Tensor lr, float dampening, bool nesterov, bool maximize, bool is_first_step, Tensor? grad_scale=None, Tensor? found_inf=None) -> (Tensor[] self_out, Tensor[] grads_out, Tensor[] momentum_buffer_list_out)
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -197784,64 +210302,49 @@
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: exp_avgs
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: exp_avg_sqs
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: max_exp_avg_sqs
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: state_steps
+    name: momentum_buffer_list
     type: at::TensorList
   - annotation: null
     dynamic_type: double
     is_nullable: false
     kwarg_only: true
-    name: lr
+    name: weight_decay
     type: double
   - annotation: null
     dynamic_type: double
     is_nullable: false
     kwarg_only: true
-    name: beta1
+    name: momentum
     type: double
   - annotation: null
-    dynamic_type: double
+    dynamic_type: at::Tensor
     is_nullable: false
     kwarg_only: true
-    name: beta2
-    type: double
+    name: lr
+    type: const at::Tensor &
   - annotation: null
     dynamic_type: double
     is_nullable: false
     kwarg_only: true
-    name: weight_decay
+    name: dampening
     type: double
   - annotation: null
-    dynamic_type: double
+    dynamic_type: bool
     is_nullable: false
     kwarg_only: true
-    name: eps
-    type: double
+    name: nesterov
+    type: bool
   - annotation: null
     dynamic_type: bool
     is_nullable: false
     kwarg_only: true
-    name: amsgrad
+    name: maximize
     type: bool
   - annotation: null
     dynamic_type: bool
     is_nullable: false
     kwarg_only: true
-    name: maximize
+    name: is_first_step
     type: bool
   - annotation: null
     default: '{}'
@@ -197849,15 +210352,15 @@
     is_nullable: true
     kwarg_only: true
     name: grad_scale
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: found_inf
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: ::std::tuple<::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>> (at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, double, double, double, double, double, bool, bool, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: ::std::tuple<::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>> (at::TensorList, at::TensorList, at::TensorList, double, double, const at::Tensor &, double, bool, bool, bool, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -197872,64 +210375,49 @@
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: exp_avgs
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: exp_avg_sqs
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: max_exp_avg_sqs
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: state_steps
+    name: momentum_buffer_list
     type: at::TensorList
   - annotation: null
     dynamic_type: double
     is_nullable: false
     kwarg_only: true
-    name: lr
+    name: weight_decay
     type: double
   - annotation: null
     dynamic_type: double
     is_nullable: false
     kwarg_only: true
-    name: beta1
+    name: momentum
     type: double
   - annotation: null
-    dynamic_type: double
+    dynamic_type: at::Tensor
     is_nullable: false
     kwarg_only: true
-    name: beta2
-    type: double
+    name: lr
+    type: const at::Tensor &
   - annotation: null
     dynamic_type: double
     is_nullable: false
     kwarg_only: true
-    name: weight_decay
+    name: dampening
     type: double
   - annotation: null
-    dynamic_type: double
+    dynamic_type: bool
     is_nullable: false
     kwarg_only: true
-    name: eps
-    type: double
+    name: nesterov
+    type: bool
   - annotation: null
     dynamic_type: bool
     is_nullable: false
     kwarg_only: true
-    name: amsgrad
+    name: maximize
     type: bool
   - annotation: null
     dynamic_type: bool
     is_nullable: false
     kwarg_only: true
-    name: maximize
+    name: is_first_step
     type: bool
   - annotation: null
     default: '{}'
@@ -197937,14 +210425,14 @@
     is_nullable: true
     kwarg_only: true
     name: grad_scale
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: found_inf
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - namespace
@@ -197960,16 +210448,8 @@
     name: grads_out
     type: ::std::vector<at::Tensor>
   - dynamic_type: at::TensorList
-    field_name: exp_avgs_out
-    name: exp_avgs_out
-    type: ::std::vector<at::Tensor>
-  - dynamic_type: at::TensorList
-    field_name: exp_avg_sqs_out
-    name: exp_avg_sqs_out
-    type: ::std::vector<at::Tensor>
-  - dynamic_type: at::TensorList
-    field_name: max_exp_avg_sqs_out
-    name: max_exp_avg_sqs_out
+    field_name: momentum_buffer_list_out
+    name: momentum_buffer_list_out
     type: ::std::vector<at::Tensor>
   inplace: false
   is_factory_method: false
@@ -197978,12 +210458,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _fused_adamw_out
-  operator_name: _fused_adamw
+- name: _fused_adagrad_out
+  operator_name: _fused_adagrad
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_fused_adamw.out(Tensor[] self, Tensor(b!)[] grads, Tensor(c!)[] exp_avgs, Tensor(d!)[] exp_avg_sqs, Tensor(e!)[] max_exp_avg_sqs, Tensor[] state_steps, *, float lr, float beta1, float beta2, float weight_decay, float eps, bool amsgrad, bool maximize, Tensor? grad_scale=None, Tensor? found_inf=None, Tensor(a!)[] out) -> ()
+  schema_string: aten::_fused_adagrad.out(Tensor[] self, Tensor(b!)[] grads, Tensor(c!)[] state_sums, Tensor(d!)[] state_steps, *, float lr, float lr_decay, float weight_decay, float eps, bool maximize, Tensor? grad_scale=None, Tensor? found_inf=None, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -198005,19 +210485,9 @@
   - annotation: c!
     dynamic_type: at::TensorList
     is_nullable: false
-    name: exp_avgs
+    name: state_sums
     type: at::TensorList
   - annotation: d!
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: exp_avg_sqs
-    type: at::TensorList
-  - annotation: e!
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: max_exp_avg_sqs
-    type: at::TensorList
-  - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: state_steps
@@ -198032,13 +210502,7 @@
     dynamic_type: double
     is_nullable: false
     kwarg_only: true
-    name: beta1
-    type: double
-  - annotation: null
-    dynamic_type: double
-    is_nullable: false
-    kwarg_only: true
-    name: beta2
+    name: lr_decay
     type: double
   - annotation: null
     dynamic_type: double
@@ -198052,12 +210516,6 @@
     kwarg_only: true
     name: eps
     type: double
-  - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    kwarg_only: true
-    name: amsgrad
-    type: bool
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -198070,15 +210528,15 @@
     is_nullable: true
     kwarg_only: true
     name: grad_scale
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: found_inf
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, double, double, double, double, double, bool, bool, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, at::TensorList)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, at::TensorList, double, double, double, double, bool, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -198093,19 +210551,9 @@
   - annotation: c!
     dynamic_type: at::TensorList
     is_nullable: false
-    name: exp_avgs
+    name: state_sums
     type: at::TensorList
   - annotation: d!
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: exp_avg_sqs
-    type: at::TensorList
-  - annotation: e!
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: max_exp_avg_sqs
-    type: at::TensorList
-  - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: state_steps
@@ -198120,13 +210568,7 @@
     dynamic_type: double
     is_nullable: false
     kwarg_only: true
-    name: beta1
-    type: double
-  - annotation: null
-    dynamic_type: double
-    is_nullable: false
-    kwarg_only: true
-    name: beta2
+    name: lr_decay
     type: double
   - annotation: null
     dynamic_type: double
@@ -198140,12 +210582,6 @@
     kwarg_only: true
     name: eps
     type: double
-  - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    kwarg_only: true
-    name: amsgrad
-    type: bool
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -198158,14 +210594,14 @@
     is_nullable: true
     kwarg_only: true
     name: grad_scale
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: found_inf
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -198186,12 +210622,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _fused_adamw
-  operator_name: _fused_adamw
+- name: _fused_adagrad
+  operator_name: _fused_adagrad
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_fused_adamw(Tensor[] self, Tensor[] grads, Tensor[] exp_avgs, Tensor[] exp_avg_sqs, Tensor[] max_exp_avg_sqs, Tensor[] state_steps, *, float lr, float beta1, float beta2, float weight_decay, float eps, bool amsgrad, bool maximize, Tensor? grad_scale=None, Tensor? found_inf=None) -> (Tensor[] self_out, Tensor[] grads_out, Tensor[] exp_avgs_out, Tensor[] exp_avg_sqs_out, Tensor[] max_exp_avg_sqs_out)
+  schema_string: aten::_fused_adagrad(Tensor[] self, Tensor[] grads, Tensor[] state_sums, Tensor[] state_steps, *, float lr, float lr_decay, float weight_decay, float eps, bool maximize, Tensor? grad_scale=None, Tensor? found_inf=None) -> (Tensor[] self_out, Tensor[] grads_out, Tensor[] state_sums_out, Tensor[] state_steps_out)
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -198206,17 +210642,7 @@
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: exp_avgs
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: exp_avg_sqs
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: max_exp_avg_sqs
+    name: state_sums
     type: at::TensorList
   - annotation: null
     dynamic_type: at::TensorList
@@ -198233,13 +210659,7 @@
     dynamic_type: double
     is_nullable: false
     kwarg_only: true
-    name: beta1
-    type: double
-  - annotation: null
-    dynamic_type: double
-    is_nullable: false
-    kwarg_only: true
-    name: beta2
+    name: lr_decay
     type: double
   - annotation: null
     dynamic_type: double
@@ -198253,12 +210673,6 @@
     kwarg_only: true
     name: eps
     type: double
-  - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    kwarg_only: true
-    name: amsgrad
-    type: bool
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -198271,15 +210685,15 @@
     is_nullable: true
     kwarg_only: true
     name: grad_scale
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: found_inf
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: ::std::tuple<::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>> (at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, double, double, double, double, double, bool, bool, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: ::std::tuple<::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>> (at::TensorList, at::TensorList, at::TensorList, at::TensorList, double, double, double, double, bool, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -198294,17 +210708,7 @@
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: exp_avgs
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: exp_avg_sqs
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: max_exp_avg_sqs
+    name: state_sums
     type: at::TensorList
   - annotation: null
     dynamic_type: at::TensorList
@@ -198321,13 +210725,7 @@
     dynamic_type: double
     is_nullable: false
     kwarg_only: true
-    name: beta1
-    type: double
-  - annotation: null
-    dynamic_type: double
-    is_nullable: false
-    kwarg_only: true
-    name: beta2
+    name: lr_decay
     type: double
   - annotation: null
     dynamic_type: double
@@ -198341,12 +210739,6 @@
     kwarg_only: true
     name: eps
     type: double
-  - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    kwarg_only: true
-    name: amsgrad
-    type: bool
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -198359,14 +210751,14 @@
     is_nullable: true
     kwarg_only: true
     name: grad_scale
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: found_inf
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - namespace
@@ -198382,16 +210774,12 @@
     name: grads_out
     type: ::std::vector<at::Tensor>
   - dynamic_type: at::TensorList
-    field_name: exp_avgs_out
-    name: exp_avgs_out
-    type: ::std::vector<at::Tensor>
-  - dynamic_type: at::TensorList
-    field_name: exp_avg_sqs_out
-    name: exp_avg_sqs_out
+    field_name: state_sums_out
+    name: state_sums_out
     type: ::std::vector<at::Tensor>
   - dynamic_type: at::TensorList
-    field_name: max_exp_avg_sqs_out
-    name: max_exp_avg_sqs_out
+    field_name: state_steps_out
+    name: state_steps_out
     type: ::std::vector<at::Tensor>
   inplace: false
   is_factory_method: false
diff --git a/src/lantern/headers/src/main.cpp b/src/lantern/headers/src/main.cpp
index 99d0e7b892..0cca20691e 100644
--- a/src/lantern/headers/src/main.cpp
+++ b/src/lantern/headers/src/main.cpp
@@ -90,6 +90,41 @@ std::string addNamespace(std::string name) {
   return name;
 }
 
+std::string dtype2type (std::string dtype) {
+  if (dtype == "at::Tensor") return "Tensor";
+  if (dtype == "at::Stream") return "Stream";
+  if (dtype == "at::IntArrayRef") return "IntArrayRef";
+  if (dtype == "const at::Scalar &") return "Scalar";
+  if (dtype == "at::TensorList") return "TensorList";
+  if (dtype == "at::ScalarType") return "ScalarType";
+  if (dtype == "at::TensorOptions") return "TensorOptions";
+  if (dtype == "at::Dimname") return "Dimname";
+  if (dtype == "at::Generator") return "Generator";
+  if (dtype == "at::DimnameList") return "DimnameList";
+  if (dtype == "at::MemoryFormat") return "MemoryFormat";
+  if (dtype == "at::Device") return "Device";
+  if (dtype == "at::Layout") return "Layout";
+  if (dtype == "at::Storage") return "Storage";
+  if (dtype == "at::DeviceIndex") return "DeviceIndex";
+
+  if (dtype == "int64_t") return "int64_t";
+  if (dtype == "bool") return "bool_t";
+  if (dtype == "double") return "double_t";
+
+  if (dtype == "c10::string_view") return "string_view";
+  
+  if (dtype == "at::ArrayRef<at::Scalar>") return "vector::Scalar";
+  if (dtype == "at::ArrayRef<double>") return "vector::double_t";
+  if (dtype == "::std::array<bool,2>") return "vector::bool_t";
+  if (dtype == "::std::array<bool,3>") return "vector::bool_t";
+  if (dtype == "::std::array<bool,4>") return "vector::bool_t";
+
+  if (dtype == "const c10::List<::std::optional<at::Tensor>> &") return "optional::TensorList" ;  
+  if (dtype == "const at::ITensorListRef &") return "TensorList";
+  
+  throw std::runtime_error("Unknown type " + dtype);
+}
+
 std::string buildCalls(std::string name, YAML::Node node, size_t start) {
   std::string arguments = "";
 
@@ -98,122 +133,22 @@ std::string buildCalls(std::string name, YAML::Node node, size_t start) {
       arguments += ", ";
     }
 
-    std::string type = removeAt(node[idx]["dynamic_type"].as<std::string>());
-    std::string dtype = removeAt(node[idx]["type"].as<std::string>());
-
-    if (type == "ArrayRef<double>" &
-        dtype != "c10::optional<ArrayRef<double>>") {
-      type = "std::vector<double>";
-    } else if (type == "const c10::List<c10::optional<Tensor>> &") {
-      type = "c10::List<c10::optional<torch::Tensor>>";
-    } else if (type == "Generator *") {
-      type = "std::shared_ptr<torch::Generator>";
-    } else if (type == "Stream") {
-      type = "at::Stream";
-    } else if (dtype == "const c10::optional<Tensor> &") {
-      type = "c10::optional<torch::Tensor>";
-    } else if (type == "const at::Scalar &" &&
-               dtype == "const c10::optional<at::Scalar> &") {
-      type = "c10::optional<at::Scalar>";
-    }
-
-    // add optional call if required
-    std::string call = node[idx]["name"].as<std::string>();
-    if ((dtype.find("c10::optional") != std::string::npos) &
-        (type != "c10::List<c10::optional<torch::Tensor>>") &
-        (type != "c10::optional<torch::Tensor>")) {
-      type = "c10::optional<" + type + ">";
-    }
+    std::string dtype = node[idx]["dynamic_type"].as<std::string>();
+    std::string type = node[idx]["type"].as<std::string>();
+    bool is_nullable = node[idx]["is_nullable"].as<bool>();
+    std::string arg_name = node[idx]["name"].as<std::string>();
 
-    if (type == "Tensor") {
-      arguments += "from_raw::Tensor(" + call + ")";
-    } else if (type == "TensorList") {
-      arguments += "from_raw::TensorList(" + call + ")";
-    } else if (type == "ScalarType") {
-      arguments += "from_raw::ScalarType(" + call + ")";
-    } else if (type == "Scalar") {
-      arguments += "from_raw::Scalar(" + call + ")";
-    } else if (type == "TensorOptions") {
-      arguments += "from_raw::TensorOptions(" + call + ")";
-    } else if (type == "Device") {
-      arguments += "from_raw::Device(" + call + ")";
-    } else if (type == "Dimname") {
-      arguments += "from_raw::Dimname(" + call + ")";
-    } else if (type == "DimnameList") {
-      arguments += "from_raw::DimnameList(" + call + ")";
-    } else if (type == "c10::optional<DimnameList>") {
-      arguments += "from_raw::optional::DimnameList(" + call + ")";
-    } else if (type == "Generator") {
-      arguments += "from_raw::Generator(" + call + ")";
-    } else if (type == "c10::optional<Generator>") {
-      arguments += "from_raw::optional::Generator(" + call + ")";
-    } else if (type == "IntArrayRef") {
-      arguments += "from_raw::IntArrayRef(" + call + ")";
-    } else if (type == "Storage") {
-      arguments += "from_raw::Storage(" + call + ")";
-    } else if (type == "std::string") {
-      arguments += "from_raw::string(" + call + ")";
-    } else if (type == "int64_t") {
-      arguments += "from_raw::int64_t(" + call + ")";
-    } else if (type == "bool") {
-      arguments += "from_raw::bool_t(" + call + ")";
-    } else if (type == "double") {
-      arguments += "from_raw::double_t(" + call + ")";
-    } else if (type == "c10::optional<double>") {
-      arguments += "from_raw::optional::double_t(" + call + ")";
-    } else if (type == "c10::optional<int64_t>") {
-      arguments += "from_raw::optional::int64_t(" + call + ")";
-    } else if (type == "c10::optional<bool>") {
-      arguments += "from_raw::optional::bool_t(" + call + ")";
-    } else if (type == "c10::optional<torch::Tensor>") {
-      arguments += "from_raw::optional::Tensor(" + call + ")";
-    } else if (type == "c10::optional<ScalarType>") {
-      arguments += "from_raw::optional::ScalarType(" + call + ")";
-    } else if (type == "::std::array<bool,2>" || type == "std::array<bool,3>" ||
-               type == "std::array<bool,4>" || type == "::std::array<bool,4>" ||
-               type == "::std::array<bool,3>") {
-      arguments += "from_raw::vector::bool_t(" + call + ")";
-    } else if (type == "c10::optional<std::string>") {
-      arguments += "from_raw::optional::string(" + call + ")";
-    } else if (type == "c10::optional<MemoryFormat>") {
-      arguments += "from_raw::optional::MemoryFormat(" + call + ")";
-    } else if (type == "c10::optional<Scalar>") {
-      arguments += "from_raw::optional::Scalar(" + call + ")";
-    } else if (type == "c10::List<c10::optional<torch::Tensor>>") {
-      arguments += "from_raw::optional::TensorList(" + call + ")";
-    } else if (type == "ArrayRef<Scalar>") {
-      arguments += "from_raw::vector::Scalar(" + call + ")";
-    } else if (type == "c10::optional<IntArrayRef>") {
-      arguments += "from_raw::optional::IntArrayRef(" + call + ")";
-    } else if (type == "c10::optional<ArrayRef<double>>") {
-      arguments += "from_raw::optional::DoubleArrayRef(" + call + ")";
-    } else if (type == "at::Stream") {
-      arguments += "from_raw::Stream(" + call + ")";
-    } else if (type == "MemoryFormat") {
-      arguments += "from_raw::MemoryFormat(" + call + ")";
-    } else if (type == "c10::string_view") {
-      arguments += "from_raw::string_view(" + call + ")";
-    } else if (type == "c10::optional<c10::string_view>") {
-      arguments += "from_raw::optional::string_view(" + call + ")";
-    } else if (type == "c10::optional<Device>") {
-      arguments += "from_raw::optional::Device(" + call + ")";
-    } else if (type == "c10::SymIntArrayRef") {
-      arguments += "from_raw::SymIntArrayRef(" + call + ")";
-    } else if (type == "c10::SymInt") {
-      arguments += "from_raw::SymInt(" + call + ")";
-    } else if (type == "Layout") {
-      arguments += "from_raw::Layout(" + call + ")";
-    } else if (type == "c10::optional<Layout>") {
-      arguments += "from_raw::optional::Layout(" + call + ")";
-    } else if (type == "const ITensorListRef &") {
-      arguments += "from_raw::TensorList(" + call + ")";
+    std::string arg_call;
+    if (dtype == "at::ArrayRef<double>" && is_nullable) {
+      arg_call = "from_raw::optional::DoubleArrayRef(" + arg_name + ")"; 
+    } else if (dtype == "const c10::List<::std::optional<at::Tensor>> &") {
+      arg_call = "from_raw::optional::TensorList(" + arg_name + ")";
     } else {
-      throw std::runtime_error("Unknown type " + type);
-    }
+      arg_call = "from_raw::" + (is_nullable ? std::string("optional::") :  "") + 
+        dtype2type(dtype) + "(" + arg_name + ")";
+    };
 
-    if (type == "std::shared_ptr<torch::Generator>") {
-      arguments += ".get()";
-    }
+    arguments += arg_call;
   }
 
   return arguments;
@@ -284,6 +219,10 @@ bool isSupported(YAML::Node node) {
     return false;
   }
 
+  if (name == "sym_size" || name == "sym_numel" || name == "sym_stride" || name == "sym_storage_offset") {
+    return false;
+  }
+
   return true;
 }
 
@@ -412,6 +351,10 @@ int main(int argc, char *argv[]) {
         buildArgumentsCalls(name, config[idx]["arguments"]);
     std::string function = toFunction(name, config[idx]["arguments"]);
 
+    if (name == "gradient") {
+      std::cout << "gradient!" << std::endl;
+    }
+
     if (hasMethodOf(config[idx], "namespace")) {
       headers.push_back("  LANTERN_API void* (LANTERN_PTR _lantern_" +
                         function + ")(" + arguments + ");");
diff --git a/src/lantern/include/lantern/lantern.h b/src/lantern/include/lantern/lantern.h
index 863bfcafb1..62bc14bd21 100644
--- a/src/lantern/include/lantern/lantern.h
+++ b/src/lantern/include/lantern/lantern.h
@@ -6,6 +6,8 @@
 #else
 #define WIN32_LEAN_AND_MEAN 1
 #include <windows.h>
+#undef max
+#undef min
 #endif
 
 #ifndef HOST_API
@@ -48,13 +50,13 @@ void check_lantern_loaded();
 
 extern int lanternLogEnabled;
 #define LLOG(...) if ((lanternLogEnabled & 1) == 1) {              \
-  printf("%ld INFO ", time(NULL));                                 \
+  printf("%lld INFO ", (long long)time(NULL));                                 \
   printf(__VA_ARGS__);                                        \
   printf("\n");                                                    \
 }                                                                  \
 if ((lanternLogEnabled & 2) == 2) {                                \
   FILE *pFile = fopen("lantern.log", "a");                         \
-  fprintf(pFile, "%ld INFO ", time(NULL));                         \
+  fprintf(pFile, "%lld INFO ", (long long)time(NULL));                         \
   fprintf(pFile, __VA_ARGS__);                               \
   fprintf(pFile, "\n");                                            \
   fclose(pFile);                                                   \
@@ -2343,7 +2345,7 @@ LANTERN_API void* (LANTERN_PTR _lantern_torch_show_config) ();
 HOST_API void* lantern_torch_show_config () 
 {
   LANTERN_CHECK_LOADED
-  auto ret = _lantern_torch_show_config();
+  void* ret = _lantern_torch_show_config();
   LANTERN_HOST_HANDLER;
   return ret;
 }
@@ -2352,7 +2354,7 @@ LANTERN_API void* (LANTERN_PTR _lantern_torch_parallel_info) ();
 HOST_API void* lantern_torch_parallel_info () 
 {
   LANTERN_CHECK_LOADED
-  auto ret = _lantern_torch_parallel_info();
+  void* ret = _lantern_torch_parallel_info();
   LANTERN_HOST_HANDLER;
   return ret;
 }
@@ -2658,8 +2660,28 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_align_tensors_tensorlist(void* tensors) { LANTERN_CHECK_LOADED void* ret = _lantern_align_tensors_tensorlist(tensors); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__assert_async_tensor)(void* self);
   HOST_API void* lantern__assert_async_tensor(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__assert_async_tensor(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__assert_async_tensor_cstringview)(void* self, void* assert_msg);
+  HOST_API void* lantern__assert_async_tensor_cstringview(void* self, void* assert_msg) { LANTERN_CHECK_LOADED void* ret = _lantern__assert_async_tensor_cstringview(self, assert_msg); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__assert_scalar_scalar_cstringview)(void* self, void* assert_msg);
+  HOST_API void* lantern__assert_scalar_scalar_cstringview(void* self, void* assert_msg) { LANTERN_CHECK_LOADED void* ret = _lantern__assert_scalar_scalar_cstringview(self, assert_msg); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__functional_assert_scalar_scalar_cstringview_tensor)(void* self, void* assert_msg, void* dep_token);
+  HOST_API void* lantern__functional_assert_scalar_scalar_cstringview_tensor(void* self, void* assert_msg, void* dep_token) { LANTERN_CHECK_LOADED void* ret = _lantern__functional_assert_scalar_scalar_cstringview_tensor(self, assert_msg, dep_token); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__functional_assert_async_tensor_cstringview_tensor)(void* self, void* assert_msg, void* dep_token);
+  HOST_API void* lantern__functional_assert_async_tensor_cstringview_tensor(void* self, void* assert_msg, void* dep_token) { LANTERN_CHECK_LOADED void* ret = _lantern__functional_assert_async_tensor_cstringview_tensor(self, assert_msg, dep_token); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__assert_tensor_metadata_tensor_intarrayref_intarrayref_scalartype)(void* a, void* size, void* stride, void* dtype);
   HOST_API void* lantern__assert_tensor_metadata_tensor_intarrayref_intarrayref_scalartype(void* a, void* size, void* stride, void* dtype) { LANTERN_CHECK_LOADED void* ret = _lantern__assert_tensor_metadata_tensor_intarrayref_intarrayref_scalartype(a, size, stride, dtype); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__print_cstringview)(void* s);
+  HOST_API void* lantern__print_cstringview(void* s) { LANTERN_CHECK_LOADED void* ret = _lantern__print_cstringview(s); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_sym_constrain_range_scalar_intt_intt)(void* size, void* min, void* max);
+  HOST_API void* lantern_sym_constrain_range_scalar_intt_intt(void* size, void* min, void* max) { LANTERN_CHECK_LOADED void* ret = _lantern_sym_constrain_range_scalar_intt_intt(size, min, max); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_sym_constrain_range_for_size_scalar_intt_intt)(void* size, void* min, void* max);
+  HOST_API void* lantern_sym_constrain_range_for_size_scalar_intt_intt(void* size, void* min, void* max) { LANTERN_CHECK_LOADED void* ret = _lantern_sym_constrain_range_for_size_scalar_intt_intt(size, min, max); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__functional_sym_constrain_range_scalar_intt_intt_tensor)(void* size, void* min, void* max, void* dep_token);
+  HOST_API void* lantern__functional_sym_constrain_range_scalar_intt_intt_tensor(void* size, void* min, void* max, void* dep_token) { LANTERN_CHECK_LOADED void* ret = _lantern__functional_sym_constrain_range_scalar_intt_intt_tensor(size, min, max, dep_token); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__functional_sym_constrain_range_for_size_scalar_intt_intt_tensor)(void* size, void* min, void* max, void* dep_token);
+  HOST_API void* lantern__functional_sym_constrain_range_for_size_scalar_intt_intt_tensor(void* size, void* min, void* max, void* dep_token) { LANTERN_CHECK_LOADED void* ret = _lantern__functional_sym_constrain_range_for_size_scalar_intt_intt_tensor(size, min, max, dep_token); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__make_dep_token_tensoroptions_memoryformat)(void* options, void* memory_format);
+  HOST_API void* lantern__make_dep_token_tensoroptions_memoryformat(void* options, void* memory_format) { LANTERN_CHECK_LOADED void* ret = _lantern__make_dep_token_tensoroptions_memoryformat(options, memory_format); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_refine_names_tensor_dimnamelist)(void* self, void* names);
   HOST_API void* lantern_Tensor_refine_names_tensor_dimnamelist(void* self, void* names) { void* ret = _lantern_Tensor_refine_names_tensor_dimnamelist(self, names); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__use_cudnn_ctc_loss_tensor_tensor_intarrayref_intarrayref_intt)(void* log_probs, void* targets, void* input_lengths, void* target_lengths, void* blank);
@@ -2876,12 +2898,20 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_Tensor__is_any_true_tensor(void* self) { void* ret = _lantern_Tensor__is_any_true_tensor(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__test_check_tensor_tensor)(void* self);
   HOST_API void* lantern__test_check_tensor_tensor(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__test_check_tensor_tensor(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__test_functorch_fallback_tensor_tensor)(void* self, void* other);
+  HOST_API void* lantern__test_functorch_fallback_tensor_tensor(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__test_functorch_fallback_tensor_tensor(self, other); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_all_tensor_intt_bool)(void* self, void* dim, void* keepdim);
   HOST_API void* lantern_all_tensor_intt_bool(void* self, void* dim, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_all_tensor_intt_bool(self, dim, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_all_tensor_intt_bool)(void* self, void* dim, void* keepdim);
   HOST_API void* lantern_Tensor_all_tensor_intt_bool(void* self, void* dim, void* keepdim) { void* ret = _lantern_Tensor_all_tensor_intt_bool(self, dim, keepdim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_all_tensor_intarrayref_bool)(void* self, void* dim, void* keepdim);
+  HOST_API void* lantern_all_tensor_intarrayref_bool(void* self, void* dim, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_all_tensor_intarrayref_bool(self, dim, keepdim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_Tensor_all_tensor_intarrayref_bool)(void* self, void* dim, void* keepdim);
+  HOST_API void* lantern_Tensor_all_tensor_intarrayref_bool(void* self, void* dim, void* keepdim) { void* ret = _lantern_Tensor_all_tensor_intarrayref_bool(self, dim, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_all_out_tensor_tensor_intt_bool)(void* out, void* self, void* dim, void* keepdim);
   HOST_API void* lantern_all_out_tensor_tensor_intt_bool(void* out, void* self, void* dim, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_all_out_tensor_tensor_intt_bool(out, self, dim, keepdim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_all_out_tensor_tensor_intarrayref_bool)(void* out, void* self, void* dim, void* keepdim);
+  HOST_API void* lantern_all_out_tensor_tensor_intarrayref_bool(void* out, void* self, void* dim, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_all_out_tensor_tensor_intarrayref_bool(out, self, dim, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_all_tensor_dimname_bool)(void* self, void* dim, void* keepdim);
   HOST_API void* lantern_all_tensor_dimname_bool(void* self, void* dim, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_all_tensor_dimname_bool(self, dim, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_all_tensor_dimname_bool)(void* self, void* dim, void* keepdim);
@@ -2896,8 +2926,14 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_any_tensor_intt_bool(void* self, void* dim, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_any_tensor_intt_bool(self, dim, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_any_tensor_intt_bool)(void* self, void* dim, void* keepdim);
   HOST_API void* lantern_Tensor_any_tensor_intt_bool(void* self, void* dim, void* keepdim) { void* ret = _lantern_Tensor_any_tensor_intt_bool(self, dim, keepdim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_any_tensor_intarrayref_bool)(void* self, void* dim, void* keepdim);
+  HOST_API void* lantern_any_tensor_intarrayref_bool(void* self, void* dim, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_any_tensor_intarrayref_bool(self, dim, keepdim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_Tensor_any_tensor_intarrayref_bool)(void* self, void* dim, void* keepdim);
+  HOST_API void* lantern_Tensor_any_tensor_intarrayref_bool(void* self, void* dim, void* keepdim) { void* ret = _lantern_Tensor_any_tensor_intarrayref_bool(self, dim, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_any_out_tensor_tensor_intt_bool)(void* out, void* self, void* dim, void* keepdim);
   HOST_API void* lantern_any_out_tensor_tensor_intt_bool(void* out, void* self, void* dim, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_any_out_tensor_tensor_intt_bool(out, self, dim, keepdim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_any_out_tensor_tensor_intarrayref_bool)(void* out, void* self, void* dim, void* keepdim);
+  HOST_API void* lantern_any_out_tensor_tensor_intarrayref_bool(void* out, void* self, void* dim, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_any_out_tensor_tensor_intarrayref_bool(out, self, dim, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_any_tensor_dimname_bool)(void* self, void* dim, void* keepdim);
   HOST_API void* lantern_any_tensor_dimname_bool(void* self, void* dim, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_any_tensor_dimname_bool(self, dim, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_any_tensor_dimname_bool)(void* self, void* dim, void* keepdim);
@@ -3122,6 +3158,10 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_Tensor_copysign__tensor_scalar(void* self, void* other) { void* ret = _lantern_Tensor_copysign__tensor_scalar(self, other); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_copysign_out_tensor_tensor_scalar)(void* out, void* self, void* other);
   HOST_API void* lantern_copysign_out_tensor_tensor_scalar(void* out, void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern_copysign_out_tensor_tensor_scalar(out, self, other); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__lazy_clone_tensor)(void* self);
+  HOST_API void* lantern__lazy_clone_tensor(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__lazy_clone_tensor(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_Tensor__lazy_clone_tensor)(void* self);
+  HOST_API void* lantern_Tensor__lazy_clone_tensor(void* self) { void* ret = _lantern_Tensor__lazy_clone_tensor(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_logical_not_tensor)(void* self);
   HOST_API void* lantern_logical_not_tensor(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern_logical_not_tensor(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_logical_not_tensor)(void* self);
@@ -3420,6 +3460,8 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_cudnn_batch_norm_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_tensor(void* input, void* grad_output, void* weight, void* running_mean, void* running_var, void* save_mean, void* save_var, void* epsilon, void* reserveSpace) { LANTERN_CHECK_LOADED void* ret = _lantern_cudnn_batch_norm_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_tensor(input, grad_output, weight, running_mean, running_var, save_mean, save_var, epsilon, reserveSpace); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_cudnn_convolution_tensor_tensor_intarrayref_intarrayref_intarrayref_intt_bool_bool_bool)(void* self, void* weight, void* padding, void* stride, void* dilation, void* groups, void* benchmark, void* deterministic, void* allow_tf32);
   HOST_API void* lantern_cudnn_convolution_tensor_tensor_intarrayref_intarrayref_intarrayref_intt_bool_bool_bool(void* self, void* weight, void* padding, void* stride, void* dilation, void* groups, void* benchmark, void* deterministic, void* allow_tf32) { LANTERN_CHECK_LOADED void* ret = _lantern_cudnn_convolution_tensor_tensor_intarrayref_intarrayref_intarrayref_intt_bool_bool_bool(self, weight, padding, stride, dilation, groups, benchmark, deterministic, allow_tf32); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_cudnn_convolution_out_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intt_bool_bool_bool)(void* out, void* self, void* weight, void* padding, void* stride, void* dilation, void* groups, void* benchmark, void* deterministic, void* allow_tf32);
+  HOST_API void* lantern_cudnn_convolution_out_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intt_bool_bool_bool(void* out, void* self, void* weight, void* padding, void* stride, void* dilation, void* groups, void* benchmark, void* deterministic, void* allow_tf32) { LANTERN_CHECK_LOADED void* ret = _lantern_cudnn_convolution_out_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intt_bool_bool_bool(out, self, weight, padding, stride, dilation, groups, benchmark, deterministic, allow_tf32); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_cudnn_convolution_transpose_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt_bool_bool_bool)(void* self, void* weight, void* padding, void* output_padding, void* stride, void* dilation, void* groups, void* benchmark, void* deterministic, void* allow_tf32);
   HOST_API void* lantern_cudnn_convolution_transpose_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt_bool_bool_bool(void* self, void* weight, void* padding, void* output_padding, void* stride, void* dilation, void* groups, void* benchmark, void* deterministic, void* allow_tf32) { LANTERN_CHECK_LOADED void* ret = _lantern_cudnn_convolution_transpose_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt_bool_bool_bool(self, weight, padding, output_padding, stride, dilation, groups, benchmark, deterministic, allow_tf32); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__mps_convolution_transpose_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt)(void* self, void* weight, void* padding, void* output_padding, void* stride, void* dilation, void* groups);
@@ -3676,6 +3718,8 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_empty_intarrayref_dimnamelist_tensoroptions_memoryformat(void* size, void* names, void* options, void* memory_format) { LANTERN_CHECK_LOADED void* ret = _lantern_empty_intarrayref_dimnamelist_tensoroptions_memoryformat(size, names, options, memory_format); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_empty_intarrayref_tensoroptions_memoryformat)(void* size, void* options, void* memory_format);
   HOST_API void* lantern_empty_intarrayref_tensoroptions_memoryformat(void* size, void* options, void* memory_format) { LANTERN_CHECK_LOADED void* ret = _lantern_empty_intarrayref_tensoroptions_memoryformat(size, options, memory_format); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_empty_permuted_intarrayref_intarrayref_tensoroptions)(void* size, void* physical_layout, void* options);
+  HOST_API void* lantern_empty_permuted_intarrayref_intarrayref_tensoroptions(void* size, void* physical_layout, void* options) { LANTERN_CHECK_LOADED void* ret = _lantern_empty_permuted_intarrayref_intarrayref_tensoroptions(size, physical_layout, options); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_new_empty_tensor_intarrayref_tensoroptions)(void* self, void* size, void* options);
   HOST_API void* lantern_Tensor_new_empty_tensor_intarrayref_tensoroptions(void* self, void* size, void* options) { void* ret = _lantern_Tensor_new_empty_tensor_intarrayref_tensoroptions(self, size, options); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_new_empty_strided_tensor_intarrayref_intarrayref_tensoroptions)(void* self, void* size, void* stride, void* options);
@@ -3918,20 +3962,26 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern__fft_c2c_out_tensor_tensor_intarrayref_intt_bool(void* out, void* self, void* dim, void* normalization, void* forward) { LANTERN_CHECK_LOADED void* ret = _lantern__fft_c2c_out_tensor_tensor_intarrayref_intt_bool(out, self, dim, normalization, forward); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__validate_compressed_sparse_indices_bool_tensor_tensor_intt_intt_intt)(void* is_crow, void* compressed_idx, void* plain_idx, void* cdim, void* dim, void* nnz);
   HOST_API void* lantern__validate_compressed_sparse_indices_bool_tensor_tensor_intt_intt_intt(void* is_crow, void* compressed_idx, void* plain_idx, void* cdim, void* dim, void* nnz) { LANTERN_CHECK_LOADED void* ret = _lantern__validate_compressed_sparse_indices_bool_tensor_tensor_intt_intt_intt(is_crow, compressed_idx, plain_idx, cdim, dim, nnz); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__cufft_get_plan_cache_size_intt)(void* device_index);
-  HOST_API void* lantern__cufft_get_plan_cache_size_intt(void* device_index) { LANTERN_CHECK_LOADED void* ret = _lantern__cufft_get_plan_cache_size_intt(device_index); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__cufft_get_plan_cache_max_size_intt)(void* device_index);
-  HOST_API void* lantern__cufft_get_plan_cache_max_size_intt(void* device_index) { LANTERN_CHECK_LOADED void* ret = _lantern__cufft_get_plan_cache_max_size_intt(device_index); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__cufft_set_plan_cache_max_size_intt_intt)(void* device_index, void* max_size);
-  HOST_API void* lantern__cufft_set_plan_cache_max_size_intt_intt(void* device_index, void* max_size) { LANTERN_CHECK_LOADED void* ret = _lantern__cufft_set_plan_cache_max_size_intt_intt(device_index, max_size); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__cufft_clear_plan_cache_intt)(void* device_index);
-  HOST_API void* lantern__cufft_clear_plan_cache_intt(void* device_index) { LANTERN_CHECK_LOADED void* ret = _lantern__cufft_clear_plan_cache_intt(device_index); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_index_tensor_constclistcoptionaltensor)(void* self, void* indices);
-  HOST_API void* lantern_index_tensor_constclistcoptionaltensor(void* self, void* indices) { LANTERN_CHECK_LOADED void* ret = _lantern_index_tensor_constclistcoptionaltensor(self, indices); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_Tensor_index_tensor_constclistcoptionaltensor)(void* self, void* indices);
-  HOST_API void* lantern_Tensor_index_tensor_constclistcoptionaltensor(void* self, void* indices) { void* ret = _lantern_Tensor_index_tensor_constclistcoptionaltensor(self, indices); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_index_out_tensor_tensor_constclistcoptionaltensor)(void* out, void* self, void* indices);
-  HOST_API void* lantern_index_out_tensor_tensor_constclistcoptionaltensor(void* out, void* self, void* indices) { LANTERN_CHECK_LOADED void* ret = _lantern_index_out_tensor_tensor_constclistcoptionaltensor(out, self, indices); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__cufft_get_plan_cache_size_deviceindex)(void* device_index);
+  HOST_API void* lantern__cufft_get_plan_cache_size_deviceindex(void* device_index) { LANTERN_CHECK_LOADED void* ret = _lantern__cufft_get_plan_cache_size_deviceindex(device_index); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__cufft_get_plan_cache_max_size_deviceindex)(void* device_index);
+  HOST_API void* lantern__cufft_get_plan_cache_max_size_deviceindex(void* device_index) { LANTERN_CHECK_LOADED void* ret = _lantern__cufft_get_plan_cache_max_size_deviceindex(device_index); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__cufft_set_plan_cache_max_size_deviceindex_intt)(void* device_index, void* max_size);
+  HOST_API void* lantern__cufft_set_plan_cache_max_size_deviceindex_intt(void* device_index, void* max_size) { LANTERN_CHECK_LOADED void* ret = _lantern__cufft_set_plan_cache_max_size_deviceindex_intt(device_index, max_size); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__cufft_clear_plan_cache_deviceindex)(void* device_index);
+  HOST_API void* lantern__cufft_clear_plan_cache_deviceindex(void* device_index) { LANTERN_CHECK_LOADED void* ret = _lantern__cufft_clear_plan_cache_deviceindex(device_index); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_index_tensor_constcliststdoptionaltensor)(void* self, void* indices);
+  HOST_API void* lantern_index_tensor_constcliststdoptionaltensor(void* self, void* indices) { LANTERN_CHECK_LOADED void* ret = _lantern_index_tensor_constcliststdoptionaltensor(self, indices); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_Tensor_index_tensor_constcliststdoptionaltensor)(void* self, void* indices);
+  HOST_API void* lantern_Tensor_index_tensor_constcliststdoptionaltensor(void* self, void* indices) { void* ret = _lantern_Tensor_index_tensor_constcliststdoptionaltensor(self, indices); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_index_out_tensor_tensor_constcliststdoptionaltensor)(void* out, void* self, void* indices);
+  HOST_API void* lantern_index_out_tensor_tensor_constcliststdoptionaltensor(void* out, void* self, void* indices) { LANTERN_CHECK_LOADED void* ret = _lantern_index_out_tensor_tensor_constcliststdoptionaltensor(out, self, indices); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__unsafe_index_tensor_constcliststdoptionaltensor)(void* self, void* indices);
+  HOST_API void* lantern__unsafe_index_tensor_constcliststdoptionaltensor(void* self, void* indices) { LANTERN_CHECK_LOADED void* ret = _lantern__unsafe_index_tensor_constcliststdoptionaltensor(self, indices); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__unsafe_masked_index_tensor_tensor_constcliststdoptionaltensor_scalar)(void* self, void* mask, void* indices, void* fill);
+  HOST_API void* lantern__unsafe_masked_index_tensor_tensor_constcliststdoptionaltensor_scalar(void* self, void* mask, void* indices, void* fill) { LANTERN_CHECK_LOADED void* ret = _lantern__unsafe_masked_index_tensor_tensor_constcliststdoptionaltensor_scalar(self, mask, indices, fill); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__unsafe_masked_index_put_accumulate_tensor_tensor_constcliststdoptionaltensor_tensor)(void* self, void* mask, void* indices, void* values);
+  HOST_API void* lantern__unsafe_masked_index_put_accumulate_tensor_tensor_constcliststdoptionaltensor_tensor(void* self, void* mask, void* indices, void* values) { LANTERN_CHECK_LOADED void* ret = _lantern__unsafe_masked_index_put_accumulate_tensor_tensor_constcliststdoptionaltensor_tensor(self, mask, indices, values); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_index_copy_out_tensor_tensor_intt_tensor_tensor)(void* out, void* self, void* dim, void* index, void* source);
   HOST_API void* lantern_index_copy_out_tensor_tensor_intt_tensor_tensor(void* out, void* self, void* dim, void* index, void* source) { LANTERN_CHECK_LOADED void* ret = _lantern_index_copy_out_tensor_tensor_intt_tensor_tensor(out, self, dim, index, source); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_index_copy__tensor_intt_tensor_tensor)(void* self, void* dim, void* index, void* source);
@@ -3946,16 +3996,18 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_index_copy_tensor_dimname_tensor_tensor(void* self, void* dim, void* index, void* source) { LANTERN_CHECK_LOADED void* ret = _lantern_index_copy_tensor_dimname_tensor_tensor(self, dim, index, source); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_index_copy_tensor_dimname_tensor_tensor)(void* self, void* dim, void* index, void* source);
   HOST_API void* lantern_Tensor_index_copy_tensor_dimname_tensor_tensor(void* self, void* dim, void* index, void* source) { void* ret = _lantern_Tensor_index_copy_tensor_dimname_tensor_tensor(self, dim, index, source); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_index_put__tensor_constclistcoptionaltensor_tensor_bool)(void* self, void* indices, void* values, void* accumulate);
-  HOST_API void* lantern_index_put__tensor_constclistcoptionaltensor_tensor_bool(void* self, void* indices, void* values, void* accumulate) { LANTERN_CHECK_LOADED void* ret = _lantern_index_put__tensor_constclistcoptionaltensor_tensor_bool(self, indices, values, accumulate); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_Tensor_index_put__tensor_constclistcoptionaltensor_tensor_bool)(void* self, void* indices, void* values, void* accumulate);
-  HOST_API void* lantern_Tensor_index_put__tensor_constclistcoptionaltensor_tensor_bool(void* self, void* indices, void* values, void* accumulate) { void* ret = _lantern_Tensor_index_put__tensor_constclistcoptionaltensor_tensor_bool(self, indices, values, accumulate); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_index_put_tensor_constclistcoptionaltensor_tensor_bool)(void* self, void* indices, void* values, void* accumulate);
-  HOST_API void* lantern_index_put_tensor_constclistcoptionaltensor_tensor_bool(void* self, void* indices, void* values, void* accumulate) { LANTERN_CHECK_LOADED void* ret = _lantern_index_put_tensor_constclistcoptionaltensor_tensor_bool(self, indices, values, accumulate); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_Tensor_index_put_tensor_constclistcoptionaltensor_tensor_bool)(void* self, void* indices, void* values, void* accumulate);
-  HOST_API void* lantern_Tensor_index_put_tensor_constclistcoptionaltensor_tensor_bool(void* self, void* indices, void* values, void* accumulate) { void* ret = _lantern_Tensor_index_put_tensor_constclistcoptionaltensor_tensor_bool(self, indices, values, accumulate); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__index_put_impl__tensor_constclistcoptionaltensor_tensor_bool_bool)(void* self, void* indices, void* values, void* accumulate, void* unsafe);
-  HOST_API void* lantern__index_put_impl__tensor_constclistcoptionaltensor_tensor_bool_bool(void* self, void* indices, void* values, void* accumulate, void* unsafe) { LANTERN_CHECK_LOADED void* ret = _lantern__index_put_impl__tensor_constclistcoptionaltensor_tensor_bool_bool(self, indices, values, accumulate, unsafe); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_index_put__tensor_constcliststdoptionaltensor_tensor_bool)(void* self, void* indices, void* values, void* accumulate);
+  HOST_API void* lantern_index_put__tensor_constcliststdoptionaltensor_tensor_bool(void* self, void* indices, void* values, void* accumulate) { LANTERN_CHECK_LOADED void* ret = _lantern_index_put__tensor_constcliststdoptionaltensor_tensor_bool(self, indices, values, accumulate); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_Tensor_index_put__tensor_constcliststdoptionaltensor_tensor_bool)(void* self, void* indices, void* values, void* accumulate);
+  HOST_API void* lantern_Tensor_index_put__tensor_constcliststdoptionaltensor_tensor_bool(void* self, void* indices, void* values, void* accumulate) { void* ret = _lantern_Tensor_index_put__tensor_constcliststdoptionaltensor_tensor_bool(self, indices, values, accumulate); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_index_put_tensor_constcliststdoptionaltensor_tensor_bool)(void* self, void* indices, void* values, void* accumulate);
+  HOST_API void* lantern_index_put_tensor_constcliststdoptionaltensor_tensor_bool(void* self, void* indices, void* values, void* accumulate) { LANTERN_CHECK_LOADED void* ret = _lantern_index_put_tensor_constcliststdoptionaltensor_tensor_bool(self, indices, values, accumulate); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_Tensor_index_put_tensor_constcliststdoptionaltensor_tensor_bool)(void* self, void* indices, void* values, void* accumulate);
+  HOST_API void* lantern_Tensor_index_put_tensor_constcliststdoptionaltensor_tensor_bool(void* self, void* indices, void* values, void* accumulate) { void* ret = _lantern_Tensor_index_put_tensor_constcliststdoptionaltensor_tensor_bool(self, indices, values, accumulate); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__unsafe_index_put_tensor_constcliststdoptionaltensor_tensor_bool)(void* self, void* indices, void* values, void* accumulate);
+  HOST_API void* lantern__unsafe_index_put_tensor_constcliststdoptionaltensor_tensor_bool(void* self, void* indices, void* values, void* accumulate) { LANTERN_CHECK_LOADED void* ret = _lantern__unsafe_index_put_tensor_constcliststdoptionaltensor_tensor_bool(self, indices, values, accumulate); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__index_put_impl__tensor_constcliststdoptionaltensor_tensor_bool_bool)(void* self, void* indices, void* values, void* accumulate, void* unsafe);
+  HOST_API void* lantern__index_put_impl__tensor_constcliststdoptionaltensor_tensor_bool_bool(void* self, void* indices, void* values, void* accumulate, void* unsafe) { LANTERN_CHECK_LOADED void* ret = _lantern__index_put_impl__tensor_constcliststdoptionaltensor_tensor_bool_bool(self, indices, values, accumulate, unsafe); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_instance_norm_tensor_tensor_tensor_tensor_tensor_bool_double_double_bool)(void* input, void* weight, void* bias, void* running_mean, void* running_var, void* use_input_stats, void* momentum, void* eps, void* cudnn_enabled);
   HOST_API void* lantern_instance_norm_tensor_tensor_tensor_tensor_tensor_bool_double_double_bool(void* input, void* weight, void* bias, void* running_mean, void* running_var, void* use_input_stats, void* momentum, void* eps, void* cudnn_enabled) { LANTERN_CHECK_LOADED void* ret = _lantern_instance_norm_tensor_tensor_tensor_tensor_tensor_bool_double_double_bool(input, weight, bias, running_mean, running_var, use_input_stats, momentum, eps, cudnn_enabled); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_isclose_tensor_tensor_double_double_bool)(void* self, void* other, void* rtol, void* atol, void* equal_nan);
@@ -4048,6 +4100,8 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_native_layer_norm_tensor_intarrayref_tensor_tensor_double(void* input, void* normalized_shape, void* weight, void* bias, void* eps) { LANTERN_CHECK_LOADED void* ret = _lantern_native_layer_norm_tensor_intarrayref_tensor_tensor_double(input, normalized_shape, weight, bias, eps); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_native_layer_norm_backward_tensor_tensor_intarrayref_tensor_tensor_tensor_tensor_stdarraybool)(void* grad_out, void* input, void* normalized_shape, void* mean, void* rstd, void* weight, void* bias, void* output_mask);
   HOST_API void* lantern_native_layer_norm_backward_tensor_tensor_intarrayref_tensor_tensor_tensor_tensor_stdarraybool(void* grad_out, void* input, void* normalized_shape, void* mean, void* rstd, void* weight, void* bias, void* output_mask) { LANTERN_CHECK_LOADED void* ret = _lantern_native_layer_norm_backward_tensor_tensor_intarrayref_tensor_tensor_tensor_tensor_stdarraybool(grad_out, input, normalized_shape, mean, rstd, weight, bias, output_mask); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_rms_norm_tensor_intarrayref_tensor_double)(void* input, void* normalized_shape, void* weight, void* eps);
+  HOST_API void* lantern_rms_norm_tensor_intarrayref_tensor_double(void* input, void* normalized_shape, void* weight, void* eps) { LANTERN_CHECK_LOADED void* ret = _lantern_rms_norm_tensor_intarrayref_tensor_double(input, normalized_shape, weight, eps); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_nan_to_num_tensor_double_double_double)(void* self, void* nan, void* posinf, void* neginf);
   HOST_API void* lantern_nan_to_num_tensor_double_double_double(void* self, void* nan, void* posinf, void* neginf) { LANTERN_CHECK_LOADED void* ret = _lantern_nan_to_num_tensor_double_double_double(self, nan, posinf, neginf); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_nan_to_num_tensor_double_double_double)(void* self, void* nan, void* posinf, void* neginf);
@@ -4072,6 +4126,26 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_mkldnn_linear_backward_weights_tensor_tensor_tensor_bool(void* grad_output, void* input, void* weight, void* bias_defined) { LANTERN_CHECK_LOADED void* ret = _lantern_mkldnn_linear_backward_weights_tensor_tensor_tensor_bool(grad_output, input, weight, bias_defined); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_mkldnn_linear_backward_tensor_tensor_tensor_stdarraybool)(void* self, void* grad_output, void* weight, void* output_mask);
   HOST_API void* lantern_mkldnn_linear_backward_tensor_tensor_tensor_stdarraybool(void* self, void* grad_output, void* weight, void* output_mask) { LANTERN_CHECK_LOADED void* ret = _lantern_mkldnn_linear_backward_tensor_tensor_tensor_stdarraybool(self, grad_output, weight, output_mask); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__cslt_compress_tensor)(void* input);
+  HOST_API void* lantern__cslt_compress_tensor(void* input) { LANTERN_CHECK_LOADED void* ret = _lantern__cslt_compress_tensor(input); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__cslt_sparse_mm_tensor_tensor_tensor_tensor_scalartype_bool_intt)(void* compressed_A, void* dense_B, void* bias, void* alpha, void* out_dtype, void* transpose_result, void* alg_id);
+  HOST_API void* lantern__cslt_sparse_mm_tensor_tensor_tensor_tensor_scalartype_bool_intt(void* compressed_A, void* dense_B, void* bias, void* alpha, void* out_dtype, void* transpose_result, void* alg_id) { LANTERN_CHECK_LOADED void* ret = _lantern__cslt_sparse_mm_tensor_tensor_tensor_tensor_scalartype_bool_intt(compressed_A, dense_B, bias, alpha, out_dtype, transpose_result, alg_id); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__cslt_sparse_mm_search_tensor_tensor_tensor_tensor_scalartype_bool)(void* compressed_A, void* dense_B, void* bias, void* alpha, void* out_dtype, void* transpose_result);
+  HOST_API void* lantern__cslt_sparse_mm_search_tensor_tensor_tensor_tensor_scalartype_bool(void* compressed_A, void* dense_B, void* bias, void* alpha, void* out_dtype, void* transpose_result) { LANTERN_CHECK_LOADED void* ret = _lantern__cslt_sparse_mm_search_tensor_tensor_tensor_tensor_scalartype_bool(compressed_A, dense_B, bias, alpha, out_dtype, transpose_result); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__sparse_semi_structured_tile_tensor_cstringview_bool)(void* input, void* algorithm, void* use_cutlass);
+  HOST_API void* lantern__sparse_semi_structured_tile_tensor_cstringview_bool(void* input, void* algorithm, void* use_cutlass) { LANTERN_CHECK_LOADED void* ret = _lantern__sparse_semi_structured_tile_tensor_cstringview_bool(input, algorithm, use_cutlass); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__sparse_semi_structured_apply_tensor_tensor)(void* input, void* thread_masks);
+  HOST_API void* lantern__sparse_semi_structured_apply_tensor_tensor(void* input, void* thread_masks) { LANTERN_CHECK_LOADED void* ret = _lantern__sparse_semi_structured_apply_tensor_tensor(input, thread_masks); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__sparse_semi_structured_apply_dense_tensor_tensor)(void* input, void* thread_masks);
+  HOST_API void* lantern__sparse_semi_structured_apply_dense_tensor_tensor(void* input, void* thread_masks) { LANTERN_CHECK_LOADED void* ret = _lantern__sparse_semi_structured_apply_dense_tensor_tensor(input, thread_masks); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__sparse_semi_structured_linear_tensor_tensor_tensor_tensor_cstringview_scalartype)(void* input, void* weight, void* meta, void* bias, void* activation, void* out_dtype);
+  HOST_API void* lantern__sparse_semi_structured_linear_tensor_tensor_tensor_tensor_cstringview_scalartype(void* input, void* weight, void* meta, void* bias, void* activation, void* out_dtype) { LANTERN_CHECK_LOADED void* ret = _lantern__sparse_semi_structured_linear_tensor_tensor_tensor_tensor_cstringview_scalartype(input, weight, meta, bias, activation, out_dtype); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__sparse_semi_structured_mm_tensor_tensor_tensor_scalartype)(void* mat1, void* mat1_meta, void* mat2, void* out_dtype);
+  HOST_API void* lantern__sparse_semi_structured_mm_tensor_tensor_tensor_scalartype(void* mat1, void* mat1_meta, void* mat2, void* out_dtype) { LANTERN_CHECK_LOADED void* ret = _lantern__sparse_semi_structured_mm_tensor_tensor_tensor_scalartype(mat1, mat1_meta, mat2, out_dtype); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__sparse_semi_structured_addmm_tensor_tensor_tensor_tensor_scalar_scalar_scalartype)(void* input, void* mat1, void* mat1_meta, void* mat2, void* alpha, void* beta, void* out_dtype);
+  HOST_API void* lantern__sparse_semi_structured_addmm_tensor_tensor_tensor_tensor_scalar_scalar_scalartype(void* input, void* mat1, void* mat1_meta, void* mat2, void* alpha, void* beta, void* out_dtype) { LANTERN_CHECK_LOADED void* ret = _lantern__sparse_semi_structured_addmm_tensor_tensor_tensor_tensor_scalar_scalar_scalartype(input, mat1, mat1_meta, mat2, alpha, beta, out_dtype); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__mixed_dtypes_linear_tensor_tensor_tensor_tensor_cstringview)(void* input, void* weight, void* scale, void* bias, void* activation);
+  HOST_API void* lantern__mixed_dtypes_linear_tensor_tensor_tensor_tensor_cstringview(void* input, void* weight, void* scale, void* bias, void* activation) { LANTERN_CHECK_LOADED void* ret = _lantern__mixed_dtypes_linear_tensor_tensor_tensor_tensor_cstringview(input, weight, scale, bias, activation); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_fbgemm_linear_int8_weight_fp32_activation_tensor_tensor_tensor_tensor_scalar_scalar_tensor)(void* input, void* weight, void* packed, void* col_offsets, void* weight_scale, void* weight_zero_point, void* bias);
   HOST_API void* lantern_fbgemm_linear_int8_weight_fp32_activation_tensor_tensor_tensor_tensor_scalar_scalar_tensor(void* input, void* weight, void* packed, void* col_offsets, void* weight_scale, void* weight_zero_point, void* bias) { LANTERN_CHECK_LOADED void* ret = _lantern_fbgemm_linear_int8_weight_fp32_activation_tensor_tensor_tensor_tensor_scalar_scalar_tensor(input, weight, packed, col_offsets, weight_scale, weight_zero_point, bias); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_fbgemm_linear_int8_weight_tensor_tensor_tensor_tensor_scalar_scalar_tensor)(void* input, void* weight, void* packed, void* col_offsets, void* weight_scale, void* weight_zero_point, void* bias);
@@ -4080,6 +4154,10 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_fbgemm_linear_quantize_weight_tensor(void* input) { LANTERN_CHECK_LOADED void* ret = _lantern_fbgemm_linear_quantize_weight_tensor(input); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_fbgemm_pack_gemm_matrix_fp16_tensor)(void* input);
   HOST_API void* lantern_fbgemm_pack_gemm_matrix_fp16_tensor(void* input) { LANTERN_CHECK_LOADED void* ret = _lantern_fbgemm_pack_gemm_matrix_fp16_tensor(input); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__wrapped_linear_prepack_tensor_tensor_tensor_tensor)(void* weight, void* weight_scale, void* weight_zero_point, void* bias);
+  HOST_API void* lantern__wrapped_linear_prepack_tensor_tensor_tensor_tensor(void* weight, void* weight_scale, void* weight_zero_point, void* bias) { LANTERN_CHECK_LOADED void* ret = _lantern__wrapped_linear_prepack_tensor_tensor_tensor_tensor(weight, weight_scale, weight_zero_point, bias); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__wrapped_quantized_linear_prepacked_tensor_tensor_tensor_tensor_tensor_tensor_intt)(void* input, void* input_scale, void* input_zero_point, void* packed_weight, void* output_scale, void* output_zero_point, void* out_channel);
+  HOST_API void* lantern__wrapped_quantized_linear_prepacked_tensor_tensor_tensor_tensor_tensor_tensor_intt(void* input, void* input_scale, void* input_zero_point, void* packed_weight, void* output_scale, void* output_zero_point, void* out_channel) { LANTERN_CHECK_LOADED void* ret = _lantern__wrapped_quantized_linear_prepacked_tensor_tensor_tensor_tensor_tensor_tensor_intt(input, input_scale, input_zero_point, packed_weight, output_scale, output_zero_point, out_channel); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_fbgemm_linear_fp16_weight_fp32_activation_tensor_tensor_tensor)(void* input, void* packed_weight, void* bias);
   HOST_API void* lantern_fbgemm_linear_fp16_weight_fp32_activation_tensor_tensor_tensor(void* input, void* packed_weight, void* bias) { LANTERN_CHECK_LOADED void* ret = _lantern_fbgemm_linear_fp16_weight_fp32_activation_tensor_tensor_tensor(input, packed_weight, bias); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_fbgemm_linear_fp16_weight_tensor_tensor_tensor)(void* input, void* packed_weight, void* bias);
@@ -4100,8 +4178,20 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_ldexp_out_tensor_tensor_tensor(void* out, void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern_ldexp_out_tensor_tensor_tensor(out, self, other); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_linspace_scalar_scalar_intt_tensoroptions)(void* start, void* end, void* steps, void* options);
   HOST_API void* lantern_linspace_scalar_scalar_intt_tensoroptions(void* start, void* end, void* steps, void* options) { LANTERN_CHECK_LOADED void* ret = _lantern_linspace_scalar_scalar_intt_tensoroptions(start, end, steps, options); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_linspace_tensor_tensor_intt_tensoroptions)(void* start, void* end, void* steps, void* options);
+  HOST_API void* lantern_linspace_tensor_tensor_intt_tensoroptions(void* start, void* end, void* steps, void* options) { LANTERN_CHECK_LOADED void* ret = _lantern_linspace_tensor_tensor_intt_tensoroptions(start, end, steps, options); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_linspace_tensor_scalar_intt_tensoroptions)(void* start, void* end, void* steps, void* options);
+  HOST_API void* lantern_linspace_tensor_scalar_intt_tensoroptions(void* start, void* end, void* steps, void* options) { LANTERN_CHECK_LOADED void* ret = _lantern_linspace_tensor_scalar_intt_tensoroptions(start, end, steps, options); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_linspace_scalar_tensor_intt_tensoroptions)(void* start, void* end, void* steps, void* options);
+  HOST_API void* lantern_linspace_scalar_tensor_intt_tensoroptions(void* start, void* end, void* steps, void* options) { LANTERN_CHECK_LOADED void* ret = _lantern_linspace_scalar_tensor_intt_tensoroptions(start, end, steps, options); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_linspace_out_tensor_scalar_scalar_intt)(void* out, void* start, void* end, void* steps);
   HOST_API void* lantern_linspace_out_tensor_scalar_scalar_intt(void* out, void* start, void* end, void* steps) { LANTERN_CHECK_LOADED void* ret = _lantern_linspace_out_tensor_scalar_scalar_intt(out, start, end, steps); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_linspace_out_tensor_tensor_tensor_intt)(void* out, void* start, void* end, void* steps);
+  HOST_API void* lantern_linspace_out_tensor_tensor_tensor_intt(void* out, void* start, void* end, void* steps) { LANTERN_CHECK_LOADED void* ret = _lantern_linspace_out_tensor_tensor_tensor_intt(out, start, end, steps); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_linspace_out_tensor_tensor_scalar_intt)(void* out, void* start, void* end, void* steps);
+  HOST_API void* lantern_linspace_out_tensor_tensor_scalar_intt(void* out, void* start, void* end, void* steps) { LANTERN_CHECK_LOADED void* ret = _lantern_linspace_out_tensor_tensor_scalar_intt(out, start, end, steps); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_linspace_out_tensor_scalar_tensor_intt)(void* out, void* start, void* end, void* steps);
+  HOST_API void* lantern_linspace_out_tensor_scalar_tensor_intt(void* out, void* start, void* end, void* steps) { LANTERN_CHECK_LOADED void* ret = _lantern_linspace_out_tensor_scalar_tensor_intt(out, start, end, steps); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_log_tensor)(void* self);
   HOST_API void* lantern_log_tensor(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern_log_tensor(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_log_tensor)(void* self);
@@ -4180,8 +4270,20 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_xlogy_out_tensor_tensor_scalar(void* out, void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern_xlogy_out_tensor_tensor_scalar(out, self, other); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_logspace_scalar_scalar_intt_double_tensoroptions)(void* start, void* end, void* steps, void* base, void* options);
   HOST_API void* lantern_logspace_scalar_scalar_intt_double_tensoroptions(void* start, void* end, void* steps, void* base, void* options) { LANTERN_CHECK_LOADED void* ret = _lantern_logspace_scalar_scalar_intt_double_tensoroptions(start, end, steps, base, options); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_logspace_tensor_tensor_intt_double_tensoroptions)(void* start, void* end, void* steps, void* base, void* options);
+  HOST_API void* lantern_logspace_tensor_tensor_intt_double_tensoroptions(void* start, void* end, void* steps, void* base, void* options) { LANTERN_CHECK_LOADED void* ret = _lantern_logspace_tensor_tensor_intt_double_tensoroptions(start, end, steps, base, options); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_logspace_tensor_scalar_intt_double_tensoroptions)(void* start, void* end, void* steps, void* base, void* options);
+  HOST_API void* lantern_logspace_tensor_scalar_intt_double_tensoroptions(void* start, void* end, void* steps, void* base, void* options) { LANTERN_CHECK_LOADED void* ret = _lantern_logspace_tensor_scalar_intt_double_tensoroptions(start, end, steps, base, options); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_logspace_scalar_tensor_intt_double_tensoroptions)(void* start, void* end, void* steps, void* base, void* options);
+  HOST_API void* lantern_logspace_scalar_tensor_intt_double_tensoroptions(void* start, void* end, void* steps, void* base, void* options) { LANTERN_CHECK_LOADED void* ret = _lantern_logspace_scalar_tensor_intt_double_tensoroptions(start, end, steps, base, options); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_logspace_out_tensor_scalar_scalar_intt_double)(void* out, void* start, void* end, void* steps, void* base);
   HOST_API void* lantern_logspace_out_tensor_scalar_scalar_intt_double(void* out, void* start, void* end, void* steps, void* base) { LANTERN_CHECK_LOADED void* ret = _lantern_logspace_out_tensor_scalar_scalar_intt_double(out, start, end, steps, base); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_logspace_out_tensor_tensor_tensor_intt_double)(void* out, void* start, void* end, void* steps, void* base);
+  HOST_API void* lantern_logspace_out_tensor_tensor_tensor_intt_double(void* out, void* start, void* end, void* steps, void* base) { LANTERN_CHECK_LOADED void* ret = _lantern_logspace_out_tensor_tensor_tensor_intt_double(out, start, end, steps, base); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_logspace_out_tensor_tensor_scalar_intt_double)(void* out, void* start, void* end, void* steps, void* base);
+  HOST_API void* lantern_logspace_out_tensor_tensor_scalar_intt_double(void* out, void* start, void* end, void* steps, void* base) { LANTERN_CHECK_LOADED void* ret = _lantern_logspace_out_tensor_tensor_scalar_intt_double(out, start, end, steps, base); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_logspace_out_tensor_scalar_tensor_intt_double)(void* out, void* start, void* end, void* steps, void* base);
+  HOST_API void* lantern_logspace_out_tensor_scalar_tensor_intt_double(void* out, void* start, void* end, void* steps, void* base) { LANTERN_CHECK_LOADED void* ret = _lantern_logspace_out_tensor_scalar_tensor_intt_double(out, start, end, steps, base); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_log_softmax_tensor_intt_scalartype)(void* self, void* dim, void* dtype);
   HOST_API void* lantern_log_softmax_tensor_intt_scalartype(void* self, void* dim, void* dtype) { LANTERN_CHECK_LOADED void* ret = _lantern_log_softmax_tensor_intt_scalartype(self, dim, dtype); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_log_softmax_tensor_intt_scalartype)(void* self, void* dim, void* dtype);
@@ -4304,12 +4406,16 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_quantized_max_pool1d_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool(void* self, void* kernel_size, void* stride, void* padding, void* dilation, void* ceil_mode) { LANTERN_CHECK_LOADED void* ret = _lantern_quantized_max_pool1d_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool(self, kernel_size, stride, padding, dilation, ceil_mode); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_quantized_max_pool2d_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool)(void* self, void* kernel_size, void* stride, void* padding, void* dilation, void* ceil_mode);
   HOST_API void* lantern_quantized_max_pool2d_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool(void* self, void* kernel_size, void* stride, void* padding, void* dilation, void* ceil_mode) { LANTERN_CHECK_LOADED void* ret = _lantern_quantized_max_pool2d_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool(self, kernel_size, stride, padding, dilation, ceil_mode); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_quantized_max_pool3d_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool)(void* self, void* kernel_size, void* stride, void* padding, void* dilation, void* ceil_mode);
+  HOST_API void* lantern_quantized_max_pool3d_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool(void* self, void* kernel_size, void* stride, void* padding, void* dilation, void* ceil_mode) { LANTERN_CHECK_LOADED void* ret = _lantern_quantized_max_pool3d_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool(self, kernel_size, stride, padding, dilation, ceil_mode); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_max_pool3d_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool)(void* self, void* kernel_size, void* stride, void* padding, void* dilation, void* ceil_mode);
   HOST_API void* lantern_max_pool3d_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool(void* self, void* kernel_size, void* stride, void* padding, void* dilation, void* ceil_mode) { LANTERN_CHECK_LOADED void* ret = _lantern_max_pool3d_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool(self, kernel_size, stride, padding, dilation, ceil_mode); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_mean_tensor_scalartype)(void* self, void* dtype);
   HOST_API void* lantern_mean_tensor_scalartype(void* self, void* dtype) { LANTERN_CHECK_LOADED void* ret = _lantern_mean_tensor_scalartype(self, dtype); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_mean_tensor_scalartype)(void* self, void* dtype);
   HOST_API void* lantern_Tensor_mean_tensor_scalartype(void* self, void* dtype) { void* ret = _lantern_Tensor_mean_tensor_scalartype(self, dtype); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_mean_out_tensor_tensor_scalartype)(void* out, void* self, void* dtype);
+  HOST_API void* lantern_mean_out_tensor_tensor_scalartype(void* out, void* self, void* dtype) { LANTERN_CHECK_LOADED void* ret = _lantern_mean_out_tensor_tensor_scalartype(out, self, dtype); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_mean_tensor_intarrayref_bool_scalartype)(void* self, void* dim, void* keepdim, void* dtype);
   HOST_API void* lantern_mean_tensor_intarrayref_bool_scalartype(void* self, void* dim, void* keepdim, void* dtype) { LANTERN_CHECK_LOADED void* ret = _lantern_mean_tensor_intarrayref_bool_scalartype(self, dim, keepdim, dtype); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_mean_tensor_intarrayref_bool_scalartype)(void* self, void* dim, void* keepdim, void* dtype);
@@ -4412,6 +4518,16 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_Tensor_mm_tensor_tensor(void* self, void* mat2) { void* ret = _lantern_Tensor_mm_tensor_tensor(self, mat2); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_mm_out_tensor_tensor_tensor)(void* out, void* self, void* mat2);
   HOST_API void* lantern_mm_out_tensor_tensor_tensor(void* out, void* self, void* mat2) { LANTERN_CHECK_LOADED void* ret = _lantern_mm_out_tensor_tensor_tensor(out, self, mat2); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__int_mm_tensor_tensor)(void* self, void* mat2);
+  HOST_API void* lantern__int_mm_tensor_tensor(void* self, void* mat2) { LANTERN_CHECK_LOADED void* ret = _lantern__int_mm_tensor_tensor(self, mat2); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__int_mm_out_tensor_tensor_tensor)(void* out, void* self, void* mat2);
+  HOST_API void* lantern__int_mm_out_tensor_tensor_tensor(void* out, void* self, void* mat2) { LANTERN_CHECK_LOADED void* ret = _lantern__int_mm_out_tensor_tensor_tensor(out, self, mat2); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__convert_weight_to_int4pack_tensor_intt)(void* self, void* innerKTiles);
+  HOST_API void* lantern__convert_weight_to_int4pack_tensor_intt(void* self, void* innerKTiles) { LANTERN_CHECK_LOADED void* ret = _lantern__convert_weight_to_int4pack_tensor_intt(self, innerKTiles); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__weight_int4pack_mm_tensor_tensor_intt_tensor)(void* self, void* mat2, void* qGroupSize, void* qScaleAndZeros);
+  HOST_API void* lantern__weight_int4pack_mm_tensor_tensor_intt_tensor(void* self, void* mat2, void* qGroupSize, void* qScaleAndZeros) { LANTERN_CHECK_LOADED void* ret = _lantern__weight_int4pack_mm_tensor_tensor_intt_tensor(self, mat2, qGroupSize, qScaleAndZeros); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__weight_int8pack_mm_tensor_tensor_tensor)(void* self, void* mat2, void* scales);
+  HOST_API void* lantern__weight_int8pack_mm_tensor_tensor_tensor(void* self, void* mat2, void* scales) { LANTERN_CHECK_LOADED void* ret = _lantern__weight_int8pack_mm_tensor_tensor_tensor(self, mat2, scales); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__sparse_mm_tensor_tensor)(void* sparse, void* dense);
   HOST_API void* lantern__sparse_mm_tensor_tensor(void* sparse, void* dense) { LANTERN_CHECK_LOADED void* ret = _lantern__sparse_mm_tensor_tensor(sparse, dense); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__sparse_mm_tensor_tensor_cstringview)(void* sparse, void* dense, void* reduce);
@@ -4492,6 +4608,8 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_native_batch_norm_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_double_double(void* out, void* save_mean, void* save_invstd, void* input, void* weight, void* bias, void* running_mean, void* running_var, void* training, void* momentum, void* eps) { LANTERN_CHECK_LOADED void* ret = _lantern_native_batch_norm_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_double_double(out, save_mean, save_invstd, input, weight, bias, running_mean, running_var, training, momentum, eps); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__native_batch_norm_legit_tensor_tensor_tensor_tensor_tensor_bool_double_double)(void* input, void* weight, void* bias, void* running_mean, void* running_var, void* training, void* momentum, void* eps);
   HOST_API void* lantern__native_batch_norm_legit_tensor_tensor_tensor_tensor_tensor_bool_double_double(void* input, void* weight, void* bias, void* running_mean, void* running_var, void* training, void* momentum, void* eps) { LANTERN_CHECK_LOADED void* ret = _lantern__native_batch_norm_legit_tensor_tensor_tensor_tensor_tensor_bool_double_double(input, weight, bias, running_mean, running_var, training, momentum, eps); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__native_batch_norm_legit_no_training_tensor_tensor_tensor_tensor_tensor_double_double)(void* input, void* weight, void* bias, void* running_mean, void* running_var, void* momentum, void* eps);
+  HOST_API void* lantern__native_batch_norm_legit_no_training_tensor_tensor_tensor_tensor_tensor_double_double(void* input, void* weight, void* bias, void* running_mean, void* running_var, void* momentum, void* eps) { LANTERN_CHECK_LOADED void* ret = _lantern__native_batch_norm_legit_no_training_tensor_tensor_tensor_tensor_tensor_double_double(input, weight, bias, running_mean, running_var, momentum, eps); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__native_batch_norm_legit_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_double_double)(void* out, void* save_mean, void* save_invstd, void* input, void* weight, void* bias, void* running_mean, void* running_var, void* training, void* momentum, void* eps);
   HOST_API void* lantern__native_batch_norm_legit_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_double_double(void* out, void* save_mean, void* save_invstd, void* input, void* weight, void* bias, void* running_mean, void* running_var, void* training, void* momentum, void* eps) { LANTERN_CHECK_LOADED void* ret = _lantern__native_batch_norm_legit_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_double_double(out, save_mean, save_invstd, input, weight, bias, running_mean, running_var, training, momentum, eps); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__native_batch_norm_legit_tensor_tensor_tensor_bool_double_double)(void* input, void* weight, void* bias, void* training, void* momentum, void* eps);
@@ -4512,8 +4630,8 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_native_batch_norm_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_double_stdarraybool(void* grad_out, void* input, void* weight, void* running_mean, void* running_var, void* save_mean, void* save_invstd, void* train, void* eps, void* output_mask) { LANTERN_CHECK_LOADED void* ret = _lantern_native_batch_norm_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_double_stdarraybool(grad_out, input, weight, running_mean, running_var, save_mean, save_invstd, train, eps, output_mask); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_batch_norm_backward_reduce_tensor_tensor_tensor_tensor_tensor_bool_bool_bool)(void* grad_out, void* input, void* mean, void* invstd, void* weight, void* input_g, void* weight_g, void* bias_g);
   HOST_API void* lantern_batch_norm_backward_reduce_tensor_tensor_tensor_tensor_tensor_bool_bool_bool(void* grad_out, void* input, void* mean, void* invstd, void* weight, void* input_g, void* weight_g, void* bias_g) { LANTERN_CHECK_LOADED void* ret = _lantern_batch_norm_backward_reduce_tensor_tensor_tensor_tensor_tensor_bool_bool_bool(grad_out, input, mean, invstd, weight, input_g, weight_g, bias_g); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_batch_norm_backward_elemt_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor)(void* grad_out, void* input, void* mean, void* invstd, void* weight, void* mean_dy, void* mean_dy_xmu, void* count);
-  HOST_API void* lantern_batch_norm_backward_elemt_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor(void* grad_out, void* input, void* mean, void* invstd, void* weight, void* mean_dy, void* mean_dy_xmu, void* count) { LANTERN_CHECK_LOADED void* ret = _lantern_batch_norm_backward_elemt_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor(grad_out, input, mean, invstd, weight, mean_dy, mean_dy_xmu, count); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_batch_norm_backward_elemt_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor)(void* grad_out, void* input, void* mean, void* invstd, void* weight, void* sum_dy, void* sum_dy_xmu, void* count);
+  HOST_API void* lantern_batch_norm_backward_elemt_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor(void* grad_out, void* input, void* mean, void* invstd, void* weight, void* sum_dy, void* sum_dy_xmu, void* count) { LANTERN_CHECK_LOADED void* ret = _lantern_batch_norm_backward_elemt_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor(grad_out, input, mean, invstd, weight, sum_dy, sum_dy_xmu, count); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_batch_norm_update_stats_tensor_tensor_tensor_double)(void* input, void* running_mean, void* running_var, void* momentum);
   HOST_API void* lantern_batch_norm_update_stats_tensor_tensor_tensor_double(void* input, void* running_mean, void* running_var, void* momentum) { LANTERN_CHECK_LOADED void* ret = _lantern_batch_norm_update_stats_tensor_tensor_tensor_double(input, running_mean, running_var, momentum); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_is_vulkan_available)();
@@ -4932,6 +5050,10 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_Tensor_slice_tensor_intt_intt_intt_intt(void* self, void* dim, void* start, void* end, void* step) { void* ret = _lantern_Tensor_slice_tensor_intt_intt_intt_intt(self, dim, start, end, step); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_slice_backward_tensor_intarrayref_intt_intt_intt_intt)(void* grad_output, void* input_sizes, void* dim, void* start, void* end, void* step);
   HOST_API void* lantern_slice_backward_tensor_intarrayref_intt_intt_intt_intt(void* grad_output, void* input_sizes, void* dim, void* start, void* end, void* step) { LANTERN_CHECK_LOADED void* ret = _lantern_slice_backward_tensor_intarrayref_intt_intt_intt_intt(grad_output, input_sizes, dim, start, end, step); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_slice_inverse_tensor_tensor_intt_intt_intt_intt)(void* self, void* src, void* dim, void* start, void* end, void* step);
+  HOST_API void* lantern_slice_inverse_tensor_tensor_intt_intt_intt_intt(void* self, void* src, void* dim, void* start, void* end, void* step) { LANTERN_CHECK_LOADED void* ret = _lantern_slice_inverse_tensor_tensor_intt_intt_intt_intt(self, src, dim, start, end, step); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_Tensor_slice_inverse_tensor_tensor_intt_intt_intt_intt)(void* self, void* src, void* dim, void* start, void* end, void* step);
+  HOST_API void* lantern_Tensor_slice_inverse_tensor_tensor_intt_intt_intt_intt(void* self, void* src, void* dim, void* start, void* end, void* step) { void* ret = _lantern_Tensor_slice_inverse_tensor_tensor_intt_intt_intt_intt(self, src, dim, start, end, step); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_slice_scatter_tensor_tensor_intt_intt_intt_intt)(void* self, void* src, void* dim, void* start, void* end, void* step);
   HOST_API void* lantern_slice_scatter_tensor_tensor_intt_intt_intt_intt(void* self, void* src, void* dim, void* start, void* end, void* step) { LANTERN_CHECK_LOADED void* ret = _lantern_slice_scatter_tensor_tensor_intt_intt_intt_intt(self, src, dim, start, end, step); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_slice_scatter_tensor_tensor_intt_intt_intt_intt)(void* self, void* src, void* dim, void* start, void* end, void* step);
@@ -5044,6 +5166,10 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_Tensor_sspaddmm_tensor_tensor_tensor_scalar_scalar(void* self, void* mat1, void* mat2, void* beta, void* alpha) { void* ret = _lantern_Tensor_sspaddmm_tensor_tensor_tensor_scalar_scalar(self, mat1, mat2, beta, alpha); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_sspaddmm_out_tensor_tensor_tensor_tensor_scalar_scalar)(void* out, void* self, void* mat1, void* mat2, void* beta, void* alpha);
   HOST_API void* lantern_sspaddmm_out_tensor_tensor_tensor_tensor_scalar_scalar(void* out, void* self, void* mat1, void* mat2, void* beta, void* alpha) { LANTERN_CHECK_LOADED void* ret = _lantern_sspaddmm_out_tensor_tensor_tensor_tensor_scalar_scalar(out, self, mat1, mat2, beta, alpha); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__chunk_cat_tensorlist_intt_intt)(void* tensors, void* dim, void* num_chunks);
+  HOST_API void* lantern__chunk_cat_tensorlist_intt_intt(void* tensors, void* dim, void* num_chunks) { LANTERN_CHECK_LOADED void* ret = _lantern__chunk_cat_tensorlist_intt_intt(tensors, dim, num_chunks); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__chunk_cat_out_tensor_tensorlist_intt_intt)(void* out, void* tensors, void* dim, void* num_chunks);
+  HOST_API void* lantern__chunk_cat_out_tensor_tensorlist_intt_intt(void* out, void* tensors, void* dim, void* num_chunks) { LANTERN_CHECK_LOADED void* ret = _lantern__chunk_cat_out_tensor_tensorlist_intt_intt(out, tensors, dim, num_chunks); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_stack_tensorlist_intt)(void* tensors, void* dim);
   HOST_API void* lantern_stack_tensorlist_intt(void* tensors, void* dim) { LANTERN_CHECK_LOADED void* ret = _lantern_stack_tensorlist_intt(tensors, dim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_stack_out_tensor_tensorlist_intt)(void* out, void* tensors, void* dim);
@@ -5138,36 +5264,36 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_std_tensor_intarrayref_bool_bool(void* self, void* dim, void* unbiased, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_std_tensor_intarrayref_bool_bool(self, dim, unbiased, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_std_tensor_intarrayref_bool_bool)(void* self, void* dim, void* unbiased, void* keepdim);
   HOST_API void* lantern_Tensor_std_tensor_intarrayref_bool_bool(void* self, void* dim, void* unbiased, void* keepdim) { void* ret = _lantern_Tensor_std_tensor_intarrayref_bool_bool(self, dim, unbiased, keepdim); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_std_tensor_intarrayref_intt_bool)(void* self, void* dim, void* correction, void* keepdim);
-  HOST_API void* lantern_std_tensor_intarrayref_intt_bool(void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_std_tensor_intarrayref_intt_bool(self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_Tensor_std_tensor_intarrayref_intt_bool)(void* self, void* dim, void* correction, void* keepdim);
-  HOST_API void* lantern_Tensor_std_tensor_intarrayref_intt_bool(void* self, void* dim, void* correction, void* keepdim) { void* ret = _lantern_Tensor_std_tensor_intarrayref_intt_bool(self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_std_tensor_intarrayref_scalar_bool)(void* self, void* dim, void* correction, void* keepdim);
+  HOST_API void* lantern_std_tensor_intarrayref_scalar_bool(void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_std_tensor_intarrayref_scalar_bool(self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_Tensor_std_tensor_intarrayref_scalar_bool)(void* self, void* dim, void* correction, void* keepdim);
+  HOST_API void* lantern_Tensor_std_tensor_intarrayref_scalar_bool(void* self, void* dim, void* correction, void* keepdim) { void* ret = _lantern_Tensor_std_tensor_intarrayref_scalar_bool(self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_std_mean_tensor_bool)(void* self, void* unbiased);
   HOST_API void* lantern_std_mean_tensor_bool(void* self, void* unbiased) { LANTERN_CHECK_LOADED void* ret = _lantern_std_mean_tensor_bool(self, unbiased); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_std_mean_tensor_intarrayref_bool_bool)(void* self, void* dim, void* unbiased, void* keepdim);
   HOST_API void* lantern_std_mean_tensor_intarrayref_bool_bool(void* self, void* dim, void* unbiased, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_std_mean_tensor_intarrayref_bool_bool(self, dim, unbiased, keepdim); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_std_mean_tensor_intarrayref_intt_bool)(void* self, void* dim, void* correction, void* keepdim);
-  HOST_API void* lantern_std_mean_tensor_intarrayref_intt_bool(void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_std_mean_tensor_intarrayref_intt_bool(self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_std_mean_tensor_intarrayref_scalar_bool)(void* self, void* dim, void* correction, void* keepdim);
+  HOST_API void* lantern_std_mean_tensor_intarrayref_scalar_bool(void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_std_mean_tensor_intarrayref_scalar_bool(self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_std_mean_tensor_dimnamelist_bool_bool)(void* self, void* dim, void* unbiased, void* keepdim);
   HOST_API void* lantern_std_mean_tensor_dimnamelist_bool_bool(void* self, void* dim, void* unbiased, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_std_mean_tensor_dimnamelist_bool_bool(self, dim, unbiased, keepdim); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_std_mean_tensor_dimnamelist_intt_bool)(void* self, void* dim, void* correction, void* keepdim);
-  HOST_API void* lantern_std_mean_tensor_dimnamelist_intt_bool(void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_std_mean_tensor_dimnamelist_intt_bool(self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_std_mean_tensor_dimnamelist_scalar_bool)(void* self, void* dim, void* correction, void* keepdim);
+  HOST_API void* lantern_std_mean_tensor_dimnamelist_scalar_bool(void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_std_mean_tensor_dimnamelist_scalar_bool(self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_std_out_tensor_tensor_intarrayref_bool_bool)(void* out, void* self, void* dim, void* unbiased, void* keepdim);
   HOST_API void* lantern_std_out_tensor_tensor_intarrayref_bool_bool(void* out, void* self, void* dim, void* unbiased, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_std_out_tensor_tensor_intarrayref_bool_bool(out, self, dim, unbiased, keepdim); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_std_out_tensor_tensor_intarrayref_intt_bool)(void* out, void* self, void* dim, void* correction, void* keepdim);
-  HOST_API void* lantern_std_out_tensor_tensor_intarrayref_intt_bool(void* out, void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_std_out_tensor_tensor_intarrayref_intt_bool(out, self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_std_out_tensor_tensor_intarrayref_scalar_bool)(void* out, void* self, void* dim, void* correction, void* keepdim);
+  HOST_API void* lantern_std_out_tensor_tensor_intarrayref_scalar_bool(void* out, void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_std_out_tensor_tensor_intarrayref_scalar_bool(out, self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_std_tensor_dimnamelist_bool_bool)(void* self, void* dim, void* unbiased, void* keepdim);
   HOST_API void* lantern_std_tensor_dimnamelist_bool_bool(void* self, void* dim, void* unbiased, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_std_tensor_dimnamelist_bool_bool(self, dim, unbiased, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_std_tensor_dimnamelist_bool_bool)(void* self, void* dim, void* unbiased, void* keepdim);
   HOST_API void* lantern_Tensor_std_tensor_dimnamelist_bool_bool(void* self, void* dim, void* unbiased, void* keepdim) { void* ret = _lantern_Tensor_std_tensor_dimnamelist_bool_bool(self, dim, unbiased, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_std_out_tensor_tensor_dimnamelist_bool_bool)(void* out, void* self, void* dim, void* unbiased, void* keepdim);
   HOST_API void* lantern_std_out_tensor_tensor_dimnamelist_bool_bool(void* out, void* self, void* dim, void* unbiased, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_std_out_tensor_tensor_dimnamelist_bool_bool(out, self, dim, unbiased, keepdim); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_std_tensor_dimnamelist_intt_bool)(void* self, void* dim, void* correction, void* keepdim);
-  HOST_API void* lantern_std_tensor_dimnamelist_intt_bool(void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_std_tensor_dimnamelist_intt_bool(self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_Tensor_std_tensor_dimnamelist_intt_bool)(void* self, void* dim, void* correction, void* keepdim);
-  HOST_API void* lantern_Tensor_std_tensor_dimnamelist_intt_bool(void* self, void* dim, void* correction, void* keepdim) { void* ret = _lantern_Tensor_std_tensor_dimnamelist_intt_bool(self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_std_out_tensor_tensor_dimnamelist_intt_bool)(void* out, void* self, void* dim, void* correction, void* keepdim);
-  HOST_API void* lantern_std_out_tensor_tensor_dimnamelist_intt_bool(void* out, void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_std_out_tensor_tensor_dimnamelist_intt_bool(out, self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_std_tensor_dimnamelist_scalar_bool)(void* self, void* dim, void* correction, void* keepdim);
+  HOST_API void* lantern_std_tensor_dimnamelist_scalar_bool(void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_std_tensor_dimnamelist_scalar_bool(self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_Tensor_std_tensor_dimnamelist_scalar_bool)(void* self, void* dim, void* correction, void* keepdim);
+  HOST_API void* lantern_Tensor_std_tensor_dimnamelist_scalar_bool(void* self, void* dim, void* correction, void* keepdim) { void* ret = _lantern_Tensor_std_tensor_dimnamelist_scalar_bool(self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_std_out_tensor_tensor_dimnamelist_scalar_bool)(void* out, void* self, void* dim, void* correction, void* keepdim);
+  HOST_API void* lantern_std_out_tensor_tensor_dimnamelist_scalar_bool(void* out, void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_std_out_tensor_tensor_dimnamelist_scalar_bool(out, self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_prod_tensor_scalartype)(void* self, void* dtype);
   HOST_API void* lantern_prod_tensor_scalartype(void* self, void* dtype) { LANTERN_CHECK_LOADED void* ret = _lantern_prod_tensor_scalartype(self, dtype); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_prod_tensor_scalartype)(void* self, void* dtype);
@@ -5284,14 +5410,36 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_Tensor__nested_tensor_size_tensor(void* self) { void* ret = _lantern_Tensor__nested_tensor_size_tensor(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor__nested_tensor_strides_tensor)(void* self);
   HOST_API void* lantern_Tensor__nested_tensor_strides_tensor(void* self) { void* ret = _lantern_Tensor__nested_tensor_strides_tensor(self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_Tensor__nested_tensor_offsets_tensor)(void* self);
-  HOST_API void* lantern_Tensor__nested_tensor_offsets_tensor(void* self) { void* ret = _lantern_Tensor__nested_tensor_offsets_tensor(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_Tensor__nested_tensor_storage_offsets_tensor)(void* self);
+  HOST_API void* lantern_Tensor__nested_tensor_storage_offsets_tensor(void* self) { void* ret = _lantern_Tensor__nested_tensor_storage_offsets_tensor(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__nested_from_padded_and_nested_example_tensor_tensor)(void* padded, void* nt_example);
   HOST_API void* lantern__nested_from_padded_and_nested_example_tensor_tensor(void* padded, void* nt_example) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_from_padded_and_nested_example_tensor_tensor(padded, nt_example); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__nested_view_from_buffer_tensor_tensor_tensor_intarrayref)(void* self, void* nested_size, void* nested_strides, void* offsets);
-  HOST_API void* lantern__nested_view_from_buffer_tensor_tensor_tensor_intarrayref(void* self, void* nested_size, void* nested_strides, void* offsets) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_view_from_buffer_tensor_tensor_tensor_intarrayref(self, nested_size, nested_strides, offsets); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__nested_view_from_buffer_copy_tensor_tensor_tensor_intarrayref)(void* self, void* nested_size, void* nested_strides, void* offsets);
-  HOST_API void* lantern__nested_view_from_buffer_copy_tensor_tensor_tensor_intarrayref(void* self, void* nested_size, void* nested_strides, void* offsets) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_view_from_buffer_copy_tensor_tensor_tensor_intarrayref(self, nested_size, nested_strides, offsets); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__nested_view_from_buffer_tensor_tensor_tensor_tensor)(void* self, void* nested_size, void* nested_strides, void* offsets);
+  HOST_API void* lantern__nested_view_from_buffer_tensor_tensor_tensor_tensor(void* self, void* nested_size, void* nested_strides, void* offsets) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_view_from_buffer_tensor_tensor_tensor_tensor(self, nested_size, nested_strides, offsets); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__nested_view_from_buffer_copy_tensor_tensor_tensor_tensor)(void* self, void* nested_size, void* nested_strides, void* offsets);
+  HOST_API void* lantern__nested_view_from_buffer_copy_tensor_tensor_tensor_tensor(void* self, void* nested_size, void* nested_strides, void* offsets) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_view_from_buffer_copy_tensor_tensor_tensor_tensor(self, nested_size, nested_strides, offsets); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__nested_view_from_jagged_tensor_tensor_tensor_tensor_intt_tensor_tensor)(void* self, void* offsets, void* dummy, void* lengths, void* ragged_idx, void* min_seqlen, void* max_seqlen);
+  HOST_API void* lantern__nested_view_from_jagged_tensor_tensor_tensor_tensor_intt_tensor_tensor(void* self, void* offsets, void* dummy, void* lengths, void* ragged_idx, void* min_seqlen, void* max_seqlen) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_view_from_jagged_tensor_tensor_tensor_tensor_intt_tensor_tensor(self, offsets, dummy, lengths, ragged_idx, min_seqlen, max_seqlen); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__nested_view_from_jagged_copy_tensor_tensor_tensor_tensor_intt_tensor_tensor)(void* self, void* offsets, void* dummy, void* lengths, void* ragged_idx, void* min_seqlen, void* max_seqlen);
+  HOST_API void* lantern__nested_view_from_jagged_copy_tensor_tensor_tensor_tensor_intt_tensor_tensor(void* self, void* offsets, void* dummy, void* lengths, void* ragged_idx, void* min_seqlen, void* max_seqlen) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_view_from_jagged_copy_tensor_tensor_tensor_tensor_intt_tensor_tensor(self, offsets, dummy, lengths, ragged_idx, min_seqlen, max_seqlen); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__nested_get_values_tensor)(void* self);
+  HOST_API void* lantern__nested_get_values_tensor(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_get_values_tensor(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__nested_get_values_copy_tensor)(void* self);
+  HOST_API void* lantern__nested_get_values_copy_tensor(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_get_values_copy_tensor(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__nested_get_offsets_tensor)(void* self);
+  HOST_API void* lantern__nested_get_offsets_tensor(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_get_offsets_tensor(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__nested_get_lengths_tensor)(void* self);
+  HOST_API void* lantern__nested_get_lengths_tensor(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_get_lengths_tensor(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__nested_get_ragged_idx_tensor)(void* self);
+  HOST_API void* lantern__nested_get_ragged_idx_tensor(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_get_ragged_idx_tensor(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__nested_get_min_seqlen_tensor)(void* self);
+  HOST_API void* lantern__nested_get_min_seqlen_tensor(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_get_min_seqlen_tensor(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__nested_get_max_seqlen_tensor)(void* self);
+  HOST_API void* lantern__nested_get_max_seqlen_tensor(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_get_max_seqlen_tensor(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__nested_get_jagged_dummy_tensor)(void* any);
+  HOST_API void* lantern__nested_get_jagged_dummy_tensor(void* any) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_get_jagged_dummy_tensor(any); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__nested_compute_contiguous_strides_offsets_tensor)(void* nested_size);
+  HOST_API void* lantern__nested_compute_contiguous_strides_offsets_tensor(void* nested_size) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_compute_contiguous_strides_offsets_tensor(nested_size); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__trilinear_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt)(void* i1, void* i2, void* i3, void* expand1, void* expand2, void* expand3, void* sumdim, void* unroll_dim);
   HOST_API void* lantern__trilinear_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt(void* i1, void* i2, void* i3, void* expand1, void* expand2, void* expand3, void* sumdim, void* unroll_dim) { LANTERN_CHECK_LOADED void* ret = _lantern__trilinear_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt(i1, i2, i3, expand1, expand2, expand3, sumdim, unroll_dim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_triplet_margin_loss_tensor_tensor_tensor_double_double_double_bool_intt)(void* anchor, void* positive, void* negative, void* margin, void* p, void* eps, void* swap, void* reduction);
@@ -5348,36 +5496,36 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_var_tensor_intarrayref_bool_bool(void* self, void* dim, void* unbiased, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_var_tensor_intarrayref_bool_bool(self, dim, unbiased, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_var_tensor_intarrayref_bool_bool)(void* self, void* dim, void* unbiased, void* keepdim);
   HOST_API void* lantern_Tensor_var_tensor_intarrayref_bool_bool(void* self, void* dim, void* unbiased, void* keepdim) { void* ret = _lantern_Tensor_var_tensor_intarrayref_bool_bool(self, dim, unbiased, keepdim); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_var_tensor_intarrayref_intt_bool)(void* self, void* dim, void* correction, void* keepdim);
-  HOST_API void* lantern_var_tensor_intarrayref_intt_bool(void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_var_tensor_intarrayref_intt_bool(self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_Tensor_var_tensor_intarrayref_intt_bool)(void* self, void* dim, void* correction, void* keepdim);
-  HOST_API void* lantern_Tensor_var_tensor_intarrayref_intt_bool(void* self, void* dim, void* correction, void* keepdim) { void* ret = _lantern_Tensor_var_tensor_intarrayref_intt_bool(self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_var_tensor_intarrayref_scalar_bool)(void* self, void* dim, void* correction, void* keepdim);
+  HOST_API void* lantern_var_tensor_intarrayref_scalar_bool(void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_var_tensor_intarrayref_scalar_bool(self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_Tensor_var_tensor_intarrayref_scalar_bool)(void* self, void* dim, void* correction, void* keepdim);
+  HOST_API void* lantern_Tensor_var_tensor_intarrayref_scalar_bool(void* self, void* dim, void* correction, void* keepdim) { void* ret = _lantern_Tensor_var_tensor_intarrayref_scalar_bool(self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_var_out_tensor_tensor_intarrayref_bool_bool)(void* out, void* self, void* dim, void* unbiased, void* keepdim);
   HOST_API void* lantern_var_out_tensor_tensor_intarrayref_bool_bool(void* out, void* self, void* dim, void* unbiased, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_var_out_tensor_tensor_intarrayref_bool_bool(out, self, dim, unbiased, keepdim); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_var_out_tensor_tensor_intarrayref_intt_bool)(void* out, void* self, void* dim, void* correction, void* keepdim);
-  HOST_API void* lantern_var_out_tensor_tensor_intarrayref_intt_bool(void* out, void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_var_out_tensor_tensor_intarrayref_intt_bool(out, self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_var_out_tensor_tensor_intarrayref_scalar_bool)(void* out, void* self, void* dim, void* correction, void* keepdim);
+  HOST_API void* lantern_var_out_tensor_tensor_intarrayref_scalar_bool(void* out, void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_var_out_tensor_tensor_intarrayref_scalar_bool(out, self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_var_tensor_dimnamelist_bool_bool)(void* self, void* dim, void* unbiased, void* keepdim);
   HOST_API void* lantern_var_tensor_dimnamelist_bool_bool(void* self, void* dim, void* unbiased, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_var_tensor_dimnamelist_bool_bool(self, dim, unbiased, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_var_tensor_dimnamelist_bool_bool)(void* self, void* dim, void* unbiased, void* keepdim);
   HOST_API void* lantern_Tensor_var_tensor_dimnamelist_bool_bool(void* self, void* dim, void* unbiased, void* keepdim) { void* ret = _lantern_Tensor_var_tensor_dimnamelist_bool_bool(self, dim, unbiased, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_var_out_tensor_tensor_dimnamelist_bool_bool)(void* out, void* self, void* dim, void* unbiased, void* keepdim);
   HOST_API void* lantern_var_out_tensor_tensor_dimnamelist_bool_bool(void* out, void* self, void* dim, void* unbiased, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_var_out_tensor_tensor_dimnamelist_bool_bool(out, self, dim, unbiased, keepdim); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_var_tensor_dimnamelist_intt_bool)(void* self, void* dim, void* correction, void* keepdim);
-  HOST_API void* lantern_var_tensor_dimnamelist_intt_bool(void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_var_tensor_dimnamelist_intt_bool(self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_Tensor_var_tensor_dimnamelist_intt_bool)(void* self, void* dim, void* correction, void* keepdim);
-  HOST_API void* lantern_Tensor_var_tensor_dimnamelist_intt_bool(void* self, void* dim, void* correction, void* keepdim) { void* ret = _lantern_Tensor_var_tensor_dimnamelist_intt_bool(self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_var_out_tensor_tensor_dimnamelist_intt_bool)(void* out, void* self, void* dim, void* correction, void* keepdim);
-  HOST_API void* lantern_var_out_tensor_tensor_dimnamelist_intt_bool(void* out, void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_var_out_tensor_tensor_dimnamelist_intt_bool(out, self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_var_tensor_dimnamelist_scalar_bool)(void* self, void* dim, void* correction, void* keepdim);
+  HOST_API void* lantern_var_tensor_dimnamelist_scalar_bool(void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_var_tensor_dimnamelist_scalar_bool(self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_Tensor_var_tensor_dimnamelist_scalar_bool)(void* self, void* dim, void* correction, void* keepdim);
+  HOST_API void* lantern_Tensor_var_tensor_dimnamelist_scalar_bool(void* self, void* dim, void* correction, void* keepdim) { void* ret = _lantern_Tensor_var_tensor_dimnamelist_scalar_bool(self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_var_out_tensor_tensor_dimnamelist_scalar_bool)(void* out, void* self, void* dim, void* correction, void* keepdim);
+  HOST_API void* lantern_var_out_tensor_tensor_dimnamelist_scalar_bool(void* out, void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_var_out_tensor_tensor_dimnamelist_scalar_bool(out, self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_var_mean_tensor_bool)(void* self, void* unbiased);
   HOST_API void* lantern_var_mean_tensor_bool(void* self, void* unbiased) { LANTERN_CHECK_LOADED void* ret = _lantern_var_mean_tensor_bool(self, unbiased); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_var_mean_tensor_intarrayref_bool_bool)(void* self, void* dim, void* unbiased, void* keepdim);
   HOST_API void* lantern_var_mean_tensor_intarrayref_bool_bool(void* self, void* dim, void* unbiased, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_var_mean_tensor_intarrayref_bool_bool(self, dim, unbiased, keepdim); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_var_mean_tensor_intarrayref_intt_bool)(void* self, void* dim, void* correction, void* keepdim);
-  HOST_API void* lantern_var_mean_tensor_intarrayref_intt_bool(void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_var_mean_tensor_intarrayref_intt_bool(self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_var_mean_tensor_intarrayref_scalar_bool)(void* self, void* dim, void* correction, void* keepdim);
+  HOST_API void* lantern_var_mean_tensor_intarrayref_scalar_bool(void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_var_mean_tensor_intarrayref_scalar_bool(self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_var_mean_tensor_dimnamelist_bool_bool)(void* self, void* dim, void* unbiased, void* keepdim);
   HOST_API void* lantern_var_mean_tensor_dimnamelist_bool_bool(void* self, void* dim, void* unbiased, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_var_mean_tensor_dimnamelist_bool_bool(self, dim, unbiased, keepdim); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_var_mean_tensor_dimnamelist_intt_bool)(void* self, void* dim, void* correction, void* keepdim);
-  HOST_API void* lantern_var_mean_tensor_dimnamelist_intt_bool(void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_var_mean_tensor_dimnamelist_intt_bool(self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_var_mean_tensor_dimnamelist_scalar_bool)(void* self, void* dim, void* correction, void* keepdim);
+  HOST_API void* lantern_var_mean_tensor_dimnamelist_scalar_bool(void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_var_mean_tensor_dimnamelist_scalar_bool(self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_view_as_tensor_tensor)(void* self, void* other);
   HOST_API void* lantern_Tensor_view_as_tensor_tensor(void* self, void* other) { void* ret = _lantern_Tensor_view_as_tensor_tensor(self, other); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_where_tensor_tensor_tensor)(void* condition, void* self, void* other);
@@ -5432,6 +5580,14 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_native_norm_tensor_scalar(void* self, void* p) { LANTERN_CHECK_LOADED void* ret = _lantern_native_norm_tensor_scalar(self, p); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_native_norm_tensor_scalar_intarrayref_bool_scalartype)(void* self, void* p, void* dim, void* keepdim, void* dtype);
   HOST_API void* lantern_native_norm_tensor_scalar_intarrayref_bool_scalartype(void* self, void* p, void* dim, void* keepdim, void* dtype) { LANTERN_CHECK_LOADED void* ret = _lantern_native_norm_tensor_scalar_intarrayref_bool_scalartype(self, p, dim, keepdim, dtype); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__batch_norm_with_update_tensor_tensor_tensor_tensor_tensor_double_double)(void* input, void* weight, void* bias, void* running_mean, void* running_var, void* momentum, void* eps);
+  HOST_API void* lantern__batch_norm_with_update_tensor_tensor_tensor_tensor_tensor_double_double(void* input, void* weight, void* bias, void* running_mean, void* running_var, void* momentum, void* eps) { LANTERN_CHECK_LOADED void* ret = _lantern__batch_norm_with_update_tensor_tensor_tensor_tensor_tensor_double_double(input, weight, bias, running_mean, running_var, momentum, eps); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__batch_norm_with_update_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_double)(void* out, void* save_mean, void* save_invstd, void* reserve, void* input, void* weight, void* bias, void* running_mean, void* running_var, void* momentum, void* eps);
+  HOST_API void* lantern__batch_norm_with_update_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_double(void* out, void* save_mean, void* save_invstd, void* reserve, void* input, void* weight, void* bias, void* running_mean, void* running_var, void* momentum, void* eps) { LANTERN_CHECK_LOADED void* ret = _lantern__batch_norm_with_update_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_double(out, save_mean, save_invstd, reserve, input, weight, bias, running_mean, running_var, momentum, eps); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__batch_norm_no_update_tensor_tensor_tensor_tensor_tensor_double_double)(void* input, void* weight, void* bias, void* running_mean, void* running_var, void* momentum, void* eps);
+  HOST_API void* lantern__batch_norm_no_update_tensor_tensor_tensor_tensor_tensor_double_double(void* input, void* weight, void* bias, void* running_mean, void* running_var, void* momentum, void* eps) { LANTERN_CHECK_LOADED void* ret = _lantern__batch_norm_no_update_tensor_tensor_tensor_tensor_tensor_double_double(input, weight, bias, running_mean, running_var, momentum, eps); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_batch_norm_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_double_stdarraybool_tensor)(void* grad_out, void* input, void* weight, void* running_mean, void* running_var, void* save_mean, void* save_var, void* update, void* eps, void* output_mask, void* reserve);
+  HOST_API void* lantern_batch_norm_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_double_stdarraybool_tensor(void* grad_out, void* input, void* weight, void* running_mean, void* running_var, void* save_mean, void* save_var, void* update, void* eps, void* output_mask, void* reserve) { LANTERN_CHECK_LOADED void* ret = _lantern_batch_norm_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_double_stdarraybool_tensor(grad_out, input, weight, running_mean, running_var, save_mean, save_var, update, eps, output_mask, reserve); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__sparse_sum_tensor)(void* self);
   HOST_API void* lantern__sparse_sum_tensor(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__sparse_sum_tensor(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__sparse_sum_tensor_scalartype)(void* self, void* dtype);
@@ -5598,6 +5754,12 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern__addmm_activation_tensor_tensor_tensor_scalar_scalar_bool(void* self, void* mat1, void* mat2, void* beta, void* alpha, void* use_gelu) { LANTERN_CHECK_LOADED void* ret = _lantern__addmm_activation_tensor_tensor_tensor_scalar_scalar_bool(self, mat1, mat2, beta, alpha, use_gelu); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor__addmm_activation_tensor_tensor_tensor_scalar_scalar_bool)(void* self, void* mat1, void* mat2, void* beta, void* alpha, void* use_gelu);
   HOST_API void* lantern_Tensor__addmm_activation_tensor_tensor_tensor_scalar_scalar_bool(void* self, void* mat1, void* mat2, void* beta, void* alpha, void* use_gelu) { void* ret = _lantern_Tensor__addmm_activation_tensor_tensor_tensor_scalar_scalar_bool(self, mat1, mat2, beta, alpha, use_gelu); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__scaled_mm_tensor_tensor_tensor_tensor_tensor_tensor_scalartype_bool)(void* self, void* mat2, void* scale_a, void* scale_b, void* bias, void* scale_result, void* out_dtype, void* use_fast_accum);
+  HOST_API void* lantern__scaled_mm_tensor_tensor_tensor_tensor_tensor_tensor_scalartype_bool(void* self, void* mat2, void* scale_a, void* scale_b, void* bias, void* scale_result, void* out_dtype, void* use_fast_accum) { LANTERN_CHECK_LOADED void* ret = _lantern__scaled_mm_tensor_tensor_tensor_tensor_tensor_tensor_scalartype_bool(self, mat2, scale_a, scale_b, bias, scale_result, out_dtype, use_fast_accum); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__scaled_mm_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_scalartype_bool)(void* out, void* self, void* mat2, void* scale_a, void* scale_b, void* bias, void* scale_result, void* out_dtype, void* use_fast_accum);
+  HOST_API void* lantern__scaled_mm_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_scalartype_bool(void* out, void* self, void* mat2, void* scale_a, void* scale_b, void* bias, void* scale_result, void* out_dtype, void* use_fast_accum) { LANTERN_CHECK_LOADED void* ret = _lantern__scaled_mm_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_scalartype_bool(out, self, mat2, scale_a, scale_b, bias, scale_result, out_dtype, use_fast_accum); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__sparse_compressed_tensor_with_dims_intt_intt_intarrayref_intarrayref_scalartype_tensoroptions)(void* nnz, void* dense_dim, void* size, void* blocksize, void* index_dtype, void* options);
+  HOST_API void* lantern__sparse_compressed_tensor_with_dims_intt_intt_intarrayref_intarrayref_scalartype_tensoroptions(void* nnz, void* dense_dim, void* size, void* blocksize, void* index_dtype, void* options) { LANTERN_CHECK_LOADED void* ret = _lantern__sparse_compressed_tensor_with_dims_intt_intt_intarrayref_intarrayref_scalartype_tensoroptions(nnz, dense_dim, size, blocksize, index_dtype, options); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_sparse_compressed_tensor_tensor_tensor_tensor_intarrayref_tensoroptions)(void* compressed_indices, void* plain_indices, void* values, void* size, void* options);
   HOST_API void* lantern_sparse_compressed_tensor_tensor_tensor_tensor_intarrayref_tensoroptions(void* compressed_indices, void* plain_indices, void* values, void* size, void* options) { LANTERN_CHECK_LOADED void* ret = _lantern_sparse_compressed_tensor_tensor_tensor_tensor_intarrayref_tensoroptions(compressed_indices, plain_indices, values, size, options); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_sparse_csr_tensor_tensor_tensor_tensor_intarrayref_tensoroptions)(void* crow_indices, void* col_indices, void* values, void* size, void* options);
@@ -5630,14 +5792,14 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern__sparse_bsc_tensor_unsafe_tensor_tensor_tensor_intarrayref_tensoroptions(void* ccol_indices, void* row_indices, void* values, void* size, void* options) { LANTERN_CHECK_LOADED void* ret = _lantern__sparse_bsc_tensor_unsafe_tensor_tensor_tensor_intarrayref_tensoroptions(ccol_indices, row_indices, values, size, options); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_sparse_coo_tensor_intarrayref_tensoroptions)(void* size, void* options);
   HOST_API void* lantern_sparse_coo_tensor_intarrayref_tensoroptions(void* size, void* options) { LANTERN_CHECK_LOADED void* ret = _lantern_sparse_coo_tensor_intarrayref_tensoroptions(size, options); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_sparse_coo_tensor_tensor_tensor_tensoroptions)(void* indices, void* values, void* options);
-  HOST_API void* lantern_sparse_coo_tensor_tensor_tensor_tensoroptions(void* indices, void* values, void* options) { LANTERN_CHECK_LOADED void* ret = _lantern_sparse_coo_tensor_tensor_tensor_tensoroptions(indices, values, options); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_sparse_coo_tensor_tensor_tensor_intarrayref_tensoroptions)(void* indices, void* values, void* size, void* options);
-  HOST_API void* lantern_sparse_coo_tensor_tensor_tensor_intarrayref_tensoroptions(void* indices, void* values, void* size, void* options) { LANTERN_CHECK_LOADED void* ret = _lantern_sparse_coo_tensor_tensor_tensor_intarrayref_tensoroptions(indices, values, size, options); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__sparse_coo_tensor_unsafe_tensor_tensor_intarrayref_tensoroptions)(void* indices, void* values, void* size, void* options);
-  HOST_API void* lantern__sparse_coo_tensor_unsafe_tensor_tensor_intarrayref_tensoroptions(void* indices, void* values, void* size, void* options) { LANTERN_CHECK_LOADED void* ret = _lantern__sparse_coo_tensor_unsafe_tensor_tensor_intarrayref_tensoroptions(indices, values, size, options); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__validate_sparse_coo_tensor_args_tensor_tensor_intarrayref)(void* indices, void* values, void* size);
-  HOST_API void* lantern__validate_sparse_coo_tensor_args_tensor_tensor_intarrayref(void* indices, void* values, void* size) { LANTERN_CHECK_LOADED void* ret = _lantern__validate_sparse_coo_tensor_args_tensor_tensor_intarrayref(indices, values, size); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_sparse_coo_tensor_tensor_tensor_tensoroptions_bool)(void* indices, void* values, void* options, void* is_coalesced);
+  HOST_API void* lantern_sparse_coo_tensor_tensor_tensor_tensoroptions_bool(void* indices, void* values, void* options, void* is_coalesced) { LANTERN_CHECK_LOADED void* ret = _lantern_sparse_coo_tensor_tensor_tensor_tensoroptions_bool(indices, values, options, is_coalesced); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_sparse_coo_tensor_tensor_tensor_intarrayref_tensoroptions_bool)(void* indices, void* values, void* size, void* options, void* is_coalesced);
+  HOST_API void* lantern_sparse_coo_tensor_tensor_tensor_intarrayref_tensoroptions_bool(void* indices, void* values, void* size, void* options, void* is_coalesced) { LANTERN_CHECK_LOADED void* ret = _lantern_sparse_coo_tensor_tensor_tensor_intarrayref_tensoroptions_bool(indices, values, size, options, is_coalesced); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__sparse_coo_tensor_unsafe_tensor_tensor_intarrayref_tensoroptions_bool)(void* indices, void* values, void* size, void* options, void* is_coalesced);
+  HOST_API void* lantern__sparse_coo_tensor_unsafe_tensor_tensor_intarrayref_tensoroptions_bool(void* indices, void* values, void* size, void* options, void* is_coalesced) { LANTERN_CHECK_LOADED void* ret = _lantern__sparse_coo_tensor_unsafe_tensor_tensor_intarrayref_tensoroptions_bool(indices, values, size, options, is_coalesced); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__validate_sparse_coo_tensor_args_tensor_tensor_intarrayref_bool)(void* indices, void* values, void* size, void* is_coalesced);
+  HOST_API void* lantern__validate_sparse_coo_tensor_args_tensor_tensor_intarrayref_bool(void* indices, void* values, void* size, void* is_coalesced) { LANTERN_CHECK_LOADED void* ret = _lantern__validate_sparse_coo_tensor_args_tensor_tensor_intarrayref_bool(indices, values, size, is_coalesced); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__validate_sparse_compressed_tensor_args_tensor_tensor_tensor_intarrayref_layout)(void* compressed_indices, void* plain_indices, void* values, void* size, void* layout);
   HOST_API void* lantern__validate_sparse_compressed_tensor_args_tensor_tensor_tensor_intarrayref_layout(void* compressed_indices, void* plain_indices, void* values, void* size, void* layout) { LANTERN_CHECK_LOADED void* ret = _lantern__validate_sparse_compressed_tensor_args_tensor_tensor_tensor_intarrayref_layout(compressed_indices, plain_indices, values, size, layout); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__validate_sparse_csr_tensor_args_tensor_tensor_tensor_intarrayref)(void* crow_indices, void* col_indices, void* values, void* size);
@@ -5650,22 +5812,24 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern__validate_sparse_bsc_tensor_args_tensor_tensor_tensor_intarrayref(void* ccol_indices, void* row_indices, void* values, void* size) { LANTERN_CHECK_LOADED void* ret = _lantern__validate_sparse_bsc_tensor_args_tensor_tensor_tensor_intarrayref(ccol_indices, row_indices, values, size); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__sparse_coo_tensor_with_dims_intt_intt_intarrayref_tensoroptions)(void* sparse_dim, void* dense_dim, void* size, void* options);
   HOST_API void* lantern__sparse_coo_tensor_with_dims_intt_intt_intarrayref_tensoroptions(void* sparse_dim, void* dense_dim, void* size, void* options) { LANTERN_CHECK_LOADED void* ret = _lantern__sparse_coo_tensor_with_dims_intt_intt_intarrayref_tensoroptions(sparse_dim, dense_dim, size, options); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__sparse_coo_tensor_with_dims_and_tensors_intt_intt_intarrayref_tensor_tensor_tensoroptions)(void* sparse_dim, void* dense_dim, void* size, void* indices, void* values, void* options);
-  HOST_API void* lantern__sparse_coo_tensor_with_dims_and_tensors_intt_intt_intarrayref_tensor_tensor_tensoroptions(void* sparse_dim, void* dense_dim, void* size, void* indices, void* values, void* options) { LANTERN_CHECK_LOADED void* ret = _lantern__sparse_coo_tensor_with_dims_and_tensors_intt_intt_intarrayref_tensor_tensor_tensoroptions(sparse_dim, dense_dim, size, indices, values, options); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__sparse_coo_tensor_with_dims_and_tensors_intt_intt_intarrayref_tensor_tensor_tensoroptions_bool)(void* sparse_dim, void* dense_dim, void* size, void* indices, void* values, void* options, void* is_coalesced);
+  HOST_API void* lantern__sparse_coo_tensor_with_dims_and_tensors_intt_intt_intarrayref_tensor_tensor_tensoroptions_bool(void* sparse_dim, void* dense_dim, void* size, void* indices, void* values, void* options, void* is_coalesced) { LANTERN_CHECK_LOADED void* ret = _lantern__sparse_coo_tensor_with_dims_and_tensors_intt_intt_intarrayref_tensor_tensor_tensoroptions_bool(sparse_dim, dense_dim, size, indices, values, options, is_coalesced); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_sparse_resize__tensor_intarrayref_intt_intt)(void* self, void* size, void* sparse_dim, void* dense_dim);
   HOST_API void* lantern_Tensor_sparse_resize__tensor_intarrayref_intt_intt(void* self, void* size, void* sparse_dim, void* dense_dim) { void* ret = _lantern_Tensor_sparse_resize__tensor_intarrayref_intt_intt(self, size, sparse_dim, dense_dim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_sparse_resize_and_clear__tensor_intarrayref_intt_intt)(void* self, void* size, void* sparse_dim, void* dense_dim);
   HOST_API void* lantern_Tensor_sparse_resize_and_clear__tensor_intarrayref_intt_intt(void* self, void* size, void* sparse_dim, void* dense_dim) { void* ret = _lantern_Tensor_sparse_resize_and_clear__tensor_intarrayref_intt_intt(self, size, sparse_dim, dense_dim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_sparse_mask_tensor_tensor)(void* self, void* mask);
   HOST_API void* lantern_Tensor_sparse_mask_tensor_tensor(void* self, void* mask) { void* ret = _lantern_Tensor_sparse_mask_tensor_tensor(self, mask); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_Tensor__sparse_mask_projection_tensor_tensor_bool)(void* self, void* mask, void* accumulate_matches);
+  HOST_API void* lantern_Tensor__sparse_mask_projection_tensor_tensor_bool(void* self, void* mask, void* accumulate_matches) { void* ret = _lantern_Tensor__sparse_mask_projection_tensor_tensor_bool(self, mask, accumulate_matches); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__to_cpu_tensorlist)(void* tensors);
   HOST_API void* lantern__to_cpu_tensorlist(void* tensors) { LANTERN_CHECK_LOADED void* ret = _lantern__to_cpu_tensorlist(tensors); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_Tensor_to_dense_tensor_scalartype)(void* self, void* dtype);
-  HOST_API void* lantern_Tensor_to_dense_tensor_scalartype(void* self, void* dtype) { void* ret = _lantern_Tensor_to_dense_tensor_scalartype(self, dtype); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_Tensor__to_dense_tensor_scalartype)(void* self, void* dtype);
-  HOST_API void* lantern_Tensor__to_dense_tensor_scalartype(void* self, void* dtype) { void* ret = _lantern_Tensor__to_dense_tensor_scalartype(self, dtype); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_to_dense_backward_tensor_tensor)(void* grad, void* input);
-  HOST_API void* lantern_to_dense_backward_tensor_tensor(void* grad, void* input) { LANTERN_CHECK_LOADED void* ret = _lantern_to_dense_backward_tensor_tensor(grad, input); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_Tensor_to_dense_tensor_scalartype_bool)(void* self, void* dtype, void* masked_grad);
+  HOST_API void* lantern_Tensor_to_dense_tensor_scalartype_bool(void* self, void* dtype, void* masked_grad) { void* ret = _lantern_Tensor_to_dense_tensor_scalartype_bool(self, dtype, masked_grad); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_Tensor__to_dense_tensor_scalartype_bool)(void* self, void* dtype, void* masked_grad);
+  HOST_API void* lantern_Tensor__to_dense_tensor_scalartype_bool(void* self, void* dtype, void* masked_grad) { void* ret = _lantern_Tensor__to_dense_tensor_scalartype_bool(self, dtype, masked_grad); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_to_dense_backward_tensor_tensor_bool)(void* grad, void* input, void* masked_grad);
+  HOST_API void* lantern_to_dense_backward_tensor_tensor_bool(void* grad, void* input, void* masked_grad) { LANTERN_CHECK_LOADED void* ret = _lantern_to_dense_backward_tensor_tensor_bool(grad, input, masked_grad); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_sparse_dim_tensor)(void* self);
   HOST_API void* lantern_Tensor_sparse_dim_tensor(void* self) { void* ret = _lantern_Tensor_sparse_dim_tensor(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor__dimi_tensor)(void* self);
@@ -5716,22 +5880,36 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_Tensor_unbind_tensor_dimname(void* self, void* dim) { void* ret = _lantern_Tensor_unbind_tensor_dimname(self, dim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_to_sparse_tensor_intt)(void* self, void* sparse_dim);
   HOST_API void* lantern_Tensor_to_sparse_tensor_intt(void* self, void* sparse_dim) { void* ret = _lantern_Tensor_to_sparse_tensor_intt(self, sparse_dim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_Tensor__to_sparse_tensor_intt)(void* self, void* sparse_dim);
+  HOST_API void* lantern_Tensor__to_sparse_tensor_intt(void* self, void* sparse_dim) { void* ret = _lantern_Tensor__to_sparse_tensor_intt(self, sparse_dim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_to_sparse_tensor_layout_intarrayref_intt)(void* self, void* layout, void* blocksize, void* dense_dim);
   HOST_API void* lantern_Tensor_to_sparse_tensor_layout_intarrayref_intt(void* self, void* layout, void* blocksize, void* dense_dim) { void* ret = _lantern_Tensor_to_sparse_tensor_layout_intarrayref_intt(self, layout, blocksize, dense_dim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_Tensor__to_sparse_tensor_layout_intarrayref_intt)(void* self, void* layout, void* blocksize, void* dense_dim);
+  HOST_API void* lantern_Tensor__to_sparse_tensor_layout_intarrayref_intt(void* self, void* layout, void* blocksize, void* dense_dim) { void* ret = _lantern_Tensor__to_sparse_tensor_layout_intarrayref_intt(self, layout, blocksize, dense_dim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_to_sparse_csr_tensor_intt)(void* self, void* dense_dim);
   HOST_API void* lantern_Tensor_to_sparse_csr_tensor_intt(void* self, void* dense_dim) { void* ret = _lantern_Tensor_to_sparse_csr_tensor_intt(self, dense_dim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_Tensor__to_sparse_csr_tensor_intt)(void* self, void* dense_dim);
+  HOST_API void* lantern_Tensor__to_sparse_csr_tensor_intt(void* self, void* dense_dim) { void* ret = _lantern_Tensor__to_sparse_csr_tensor_intt(self, dense_dim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_to_sparse_csc_tensor_intt)(void* self, void* dense_dim);
   HOST_API void* lantern_Tensor_to_sparse_csc_tensor_intt(void* self, void* dense_dim) { void* ret = _lantern_Tensor_to_sparse_csc_tensor_intt(self, dense_dim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_Tensor__to_sparse_csc_tensor_intt)(void* self, void* dense_dim);
+  HOST_API void* lantern_Tensor__to_sparse_csc_tensor_intt(void* self, void* dense_dim) { void* ret = _lantern_Tensor__to_sparse_csc_tensor_intt(self, dense_dim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_to_sparse_bsr_tensor_intarrayref_intt)(void* self, void* blocksize, void* dense_dim);
   HOST_API void* lantern_Tensor_to_sparse_bsr_tensor_intarrayref_intt(void* self, void* blocksize, void* dense_dim) { void* ret = _lantern_Tensor_to_sparse_bsr_tensor_intarrayref_intt(self, blocksize, dense_dim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_Tensor__to_sparse_bsr_tensor_intarrayref_intt)(void* self, void* blocksize, void* dense_dim);
+  HOST_API void* lantern_Tensor__to_sparse_bsr_tensor_intarrayref_intt(void* self, void* blocksize, void* dense_dim) { void* ret = _lantern_Tensor__to_sparse_bsr_tensor_intarrayref_intt(self, blocksize, dense_dim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_to_sparse_bsc_tensor_intarrayref_intt)(void* self, void* blocksize, void* dense_dim);
   HOST_API void* lantern_Tensor_to_sparse_bsc_tensor_intarrayref_intt(void* self, void* blocksize, void* dense_dim) { void* ret = _lantern_Tensor_to_sparse_bsc_tensor_intarrayref_intt(self, blocksize, dense_dim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_Tensor__to_sparse_bsc_tensor_intarrayref_intt)(void* self, void* blocksize, void* dense_dim);
+  HOST_API void* lantern_Tensor__to_sparse_bsc_tensor_intarrayref_intt(void* self, void* blocksize, void* dense_dim) { void* ret = _lantern_Tensor__to_sparse_bsc_tensor_intarrayref_intt(self, blocksize, dense_dim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__to_sparse_semi_structured_tensor)(void* dense);
+  HOST_API void* lantern__to_sparse_semi_structured_tensor(void* dense) { LANTERN_CHECK_LOADED void* ret = _lantern__to_sparse_semi_structured_tensor(dense); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_to_mkldnn_tensor_scalartype)(void* self, void* dtype);
   HOST_API void* lantern_Tensor_to_mkldnn_tensor_scalartype(void* self, void* dtype) { void* ret = _lantern_Tensor_to_mkldnn_tensor_scalartype(self, dtype); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_mkldnn_reorder_conv2d_weight_tensor_intarrayref_intarrayref_intarrayref_intt_intarrayref)(void* self, void* padding, void* stride, void* dilation, void* groups, void* input_size);
   HOST_API void* lantern_mkldnn_reorder_conv2d_weight_tensor_intarrayref_intarrayref_intarrayref_intt_intarrayref(void* self, void* padding, void* stride, void* dilation, void* groups, void* input_size) { LANTERN_CHECK_LOADED void* ret = _lantern_mkldnn_reorder_conv2d_weight_tensor_intarrayref_intarrayref_intarrayref_intt_intarrayref(self, padding, stride, dilation, groups, input_size); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_mkldnn_reorder_conv3d_weight_tensor_intarrayref_intarrayref_intarrayref_intt)(void* self, void* padding, void* stride, void* dilation, void* groups);
-  HOST_API void* lantern_mkldnn_reorder_conv3d_weight_tensor_intarrayref_intarrayref_intarrayref_intt(void* self, void* padding, void* stride, void* dilation, void* groups) { LANTERN_CHECK_LOADED void* ret = _lantern_mkldnn_reorder_conv3d_weight_tensor_intarrayref_intarrayref_intarrayref_intt(self, padding, stride, dilation, groups); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_mkldnn_reorder_conv3d_weight_tensor_intarrayref_intarrayref_intarrayref_intt_intarrayref)(void* self, void* padding, void* stride, void* dilation, void* groups, void* input_size);
+  HOST_API void* lantern_mkldnn_reorder_conv3d_weight_tensor_intarrayref_intarrayref_intarrayref_intt_intarrayref(void* self, void* padding, void* stride, void* dilation, void* groups, void* input_size) { LANTERN_CHECK_LOADED void* ret = _lantern_mkldnn_reorder_conv3d_weight_tensor_intarrayref_intarrayref_intarrayref_intt_intarrayref(self, padding, stride, dilation, groups, input_size); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_to_mkldnn_backward_tensor_tensor)(void* grad, void* input);
   HOST_API void* lantern_to_mkldnn_backward_tensor_tensor(void* grad, void* input) { LANTERN_CHECK_LOADED void* ret = _lantern_to_mkldnn_backward_tensor_tensor(grad, input); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_quantize_per_tensor_dynamic_tensor_scalartype_bool)(void* self, void* dtype, void* reduce_range);
@@ -5846,8 +6024,8 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_result_type_scalar_tensor(void* scalar, void* tensor) { LANTERN_CHECK_LOADED void* ret = _lantern_result_type_scalar_tensor(scalar, tensor); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_result_type_scalar_scalar)(void* scalar1, void* scalar2);
   HOST_API void* lantern_result_type_scalar_scalar(void* scalar1, void* scalar2) { LANTERN_CHECK_LOADED void* ret = _lantern_result_type_scalar_scalar(scalar1, scalar2); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_can_cast_scalartype_scalartype)(void* from, void* to);
-  HOST_API void* lantern_can_cast_scalartype_scalartype(void* from, void* to) { LANTERN_CHECK_LOADED void* ret = _lantern_can_cast_scalartype_scalartype(from, to); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_can_cast_scalartype_scalartype)(void* from_, void* to);
+  HOST_API void* lantern_can_cast_scalartype_scalartype(void* from_, void* to) { LANTERN_CHECK_LOADED void* ret = _lantern_can_cast_scalartype_scalartype(from_, to); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_promote_types_scalartype_scalartype)(void* type1, void* type2);
   HOST_API void* lantern_promote_types_scalartype_scalartype(void* type1, void* type2) { LANTERN_CHECK_LOADED void* ret = _lantern_promote_types_scalartype_scalartype(type1, type2); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__local_scalar_dense_tensor)(void* self);
@@ -5944,6 +6122,8 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_masked_scatter_tensor_tensor_tensor(void* self, void* mask, void* source) { LANTERN_CHECK_LOADED void* ret = _lantern_masked_scatter_tensor_tensor_tensor(self, mask, source); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_masked_scatter_tensor_tensor_tensor)(void* self, void* mask, void* source);
   HOST_API void* lantern_Tensor_masked_scatter_tensor_tensor_tensor(void* self, void* mask, void* source) { void* ret = _lantern_Tensor_masked_scatter_tensor_tensor_tensor(self, mask, source); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_masked_scatter_backward_tensor_tensor_intarrayref)(void* grad_output, void* mask, void* sizes);
+  HOST_API void* lantern_masked_scatter_backward_tensor_tensor_intarrayref(void* grad_output, void* mask, void* sizes) { LANTERN_CHECK_LOADED void* ret = _lantern_masked_scatter_backward_tensor_tensor_intarrayref(grad_output, mask, sizes); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__masked_softmax_tensor_tensor_intt_intt)(void* self, void* mask, void* dim, void* mask_type);
   HOST_API void* lantern__masked_softmax_tensor_tensor_intt_intt(void* self, void* mask, void* dim, void* mask_type) { LANTERN_CHECK_LOADED void* ret = _lantern__masked_softmax_tensor_tensor_intt_intt(self, mask, dim, mask_type); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__masked_softmax_backward_tensor_tensor_tensor_intt)(void* grad_output, void* output, void* mask, void* dim);
@@ -6496,6 +6676,12 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_nonzero_tensor(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern_nonzero_tensor(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_nonzero_tensor)(void* self);
   HOST_API void* lantern_Tensor_nonzero_tensor(void* self) { void* ret = _lantern_Tensor_nonzero_tensor(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_nonzero_static_out_tensor_tensor_intt_intt)(void* out, void* self, void* size, void* fill_value);
+  HOST_API void* lantern_nonzero_static_out_tensor_tensor_intt_intt(void* out, void* self, void* size, void* fill_value) { LANTERN_CHECK_LOADED void* ret = _lantern_nonzero_static_out_tensor_tensor_intt_intt(out, self, size, fill_value); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_nonzero_static_tensor_intt_intt)(void* self, void* size, void* fill_value);
+  HOST_API void* lantern_nonzero_static_tensor_intt_intt(void* self, void* size, void* fill_value) { LANTERN_CHECK_LOADED void* ret = _lantern_nonzero_static_tensor_intt_intt(self, size, fill_value); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_Tensor_nonzero_static_tensor_intt_intt)(void* self, void* size, void* fill_value);
+  HOST_API void* lantern_Tensor_nonzero_static_tensor_intt_intt(void* self, void* size, void* fill_value) { void* ret = _lantern_Tensor_nonzero_static_tensor_intt_intt(self, size, fill_value); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_nonzero_numpy_tensor)(void* self);
   HOST_API void* lantern_nonzero_numpy_tensor(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern_nonzero_numpy_tensor(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_nonzero_numpy_tensor)(void* self);
@@ -6814,6 +7000,8 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_min_tensor(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern_min_tensor(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_min_tensor)(void* self);
   HOST_API void* lantern_Tensor_min_tensor(void* self) { void* ret = _lantern_Tensor_min_tensor(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_min_out_tensor_tensor)(void* out, void* self);
+  HOST_API void* lantern_min_out_tensor_tensor(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern_min_out_tensor_tensor(out, self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_fmin_tensor_tensor)(void* self, void* other);
   HOST_API void* lantern_fmin_tensor_tensor(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern_fmin_tensor_tensor(self, other); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_fmin_tensor_tensor)(void* self, void* other);
@@ -6918,6 +7106,8 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_argsort_tensor_bool_intt_bool(void* self, void* stable, void* dim, void* descending) { LANTERN_CHECK_LOADED void* ret = _lantern_argsort_tensor_bool_intt_bool(self, stable, dim, descending); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_argsort_tensor_bool_intt_bool)(void* self, void* stable, void* dim, void* descending);
   HOST_API void* lantern_Tensor_argsort_tensor_bool_intt_bool(void* self, void* stable, void* dim, void* descending) { void* ret = _lantern_Tensor_argsort_tensor_bool_intt_bool(self, stable, dim, descending); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_argsort_out_tensor_tensor_bool_intt_bool)(void* out, void* self, void* stable, void* dim, void* descending);
+  HOST_API void* lantern_argsort_out_tensor_tensor_bool_intt_bool(void* out, void* self, void* stable, void* dim, void* descending) { LANTERN_CHECK_LOADED void* ret = _lantern_argsort_out_tensor_tensor_bool_intt_bool(out, self, stable, dim, descending); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_argsort_tensor_dimname_bool)(void* self, void* dim, void* descending);
   HOST_API void* lantern_argsort_tensor_dimname_bool(void* self, void* dim, void* descending) { LANTERN_CHECK_LOADED void* ret = _lantern_argsort_tensor_dimname_bool(self, dim, descending); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_argsort_tensor_dimname_bool)(void* self, void* dim, void* descending);
@@ -7020,108 +7210,134 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern__foreach_add_tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_add_tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_add__tensorlist_scalar)(void* self, void* scalar);
   HOST_API void* lantern__foreach_add__tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_add__tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sub_tensorlist_scalar)(void* self, void* scalar);
-  HOST_API void* lantern__foreach_sub_tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sub_tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sub__tensorlist_scalar)(void* self, void* scalar);
-  HOST_API void* lantern__foreach_sub__tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sub__tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_mul_tensorlist_scalar)(void* self, void* scalar);
-  HOST_API void* lantern__foreach_mul_tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_mul_tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_mul__tensorlist_scalar)(void* self, void* scalar);
-  HOST_API void* lantern__foreach_mul__tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_mul__tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_div_tensorlist_scalar)(void* self, void* scalar);
-  HOST_API void* lantern__foreach_div_tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_div_tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_div__tensorlist_scalar)(void* self, void* scalar);
-  HOST_API void* lantern__foreach_div__tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_div__tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_min_tensorlist_scalar)(void* self, void* scalar);
-  HOST_API void* lantern__foreach_clamp_min_tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_min_tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_min__tensorlist_scalar)(void* self, void* scalar);
-  HOST_API void* lantern__foreach_clamp_min__tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_min__tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_max_tensorlist_scalar)(void* self, void* scalar);
-  HOST_API void* lantern__foreach_clamp_max_tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_max_tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_max__tensorlist_scalar)(void* self, void* scalar);
-  HOST_API void* lantern__foreach_clamp_max__tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_max__tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_maximum_tensorlist_scalar)(void* self, void* scalar);
-  HOST_API void* lantern__foreach_maximum_tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_maximum_tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_maximum__tensorlist_scalar)(void* self, void* scalar);
-  HOST_API void* lantern__foreach_maximum__tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_maximum__tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_minimum_tensorlist_scalar)(void* self, void* scalar);
-  HOST_API void* lantern__foreach_minimum_tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_minimum_tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_minimum__tensorlist_scalar)(void* self, void* scalar);
-  HOST_API void* lantern__foreach_minimum__tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_minimum__tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_add_tensorlist_tensorlist_scalar)(void* self, void* other, void* alpha);
   HOST_API void* lantern__foreach_add_tensorlist_tensorlist_scalar(void* self, void* other, void* alpha) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_add_tensorlist_tensorlist_scalar(self, other, alpha); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_add__tensorlist_tensorlist_scalar)(void* self, void* other, void* alpha);
   HOST_API void* lantern__foreach_add__tensorlist_tensorlist_scalar(void* self, void* other, void* alpha) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_add__tensorlist_tensorlist_scalar(self, other, alpha); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_add_tensorlist_arrayrefscalar)(void* self, void* scalars);
+  HOST_API void* lantern__foreach_add_tensorlist_arrayrefscalar(void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_add_tensorlist_arrayrefscalar(self, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_add__tensorlist_arrayrefscalar)(void* self, void* scalars);
+  HOST_API void* lantern__foreach_add__tensorlist_arrayrefscalar(void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_add__tensorlist_arrayrefscalar(self, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_add_tensorlist_tensor_scalar)(void* self, void* other, void* alpha);
+  HOST_API void* lantern__foreach_add_tensorlist_tensor_scalar(void* self, void* other, void* alpha) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_add_tensorlist_tensor_scalar(self, other, alpha); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_add__tensorlist_tensor_scalar)(void* self, void* other, void* alpha);
+  HOST_API void* lantern__foreach_add__tensorlist_tensor_scalar(void* self, void* other, void* alpha) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_add__tensorlist_tensor_scalar(self, other, alpha); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sub_tensorlist_scalar)(void* self, void* scalar);
+  HOST_API void* lantern__foreach_sub_tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sub_tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sub__tensorlist_scalar)(void* self, void* scalar);
+  HOST_API void* lantern__foreach_sub__tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sub__tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_sub_tensorlist_tensorlist_scalar)(void* self, void* other, void* alpha);
   HOST_API void* lantern__foreach_sub_tensorlist_tensorlist_scalar(void* self, void* other, void* alpha) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sub_tensorlist_tensorlist_scalar(self, other, alpha); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_sub__tensorlist_tensorlist_scalar)(void* self, void* other, void* alpha);
   HOST_API void* lantern__foreach_sub__tensorlist_tensorlist_scalar(void* self, void* other, void* alpha) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sub__tensorlist_tensorlist_scalar(self, other, alpha); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sub_tensorlist_arrayrefscalar)(void* self, void* scalars);
+  HOST_API void* lantern__foreach_sub_tensorlist_arrayrefscalar(void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sub_tensorlist_arrayrefscalar(self, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sub__tensorlist_arrayrefscalar)(void* self, void* scalars);
+  HOST_API void* lantern__foreach_sub__tensorlist_arrayrefscalar(void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sub__tensorlist_arrayrefscalar(self, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_mul_tensorlist_scalar)(void* self, void* scalar);
+  HOST_API void* lantern__foreach_mul_tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_mul_tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_mul__tensorlist_scalar)(void* self, void* scalar);
+  HOST_API void* lantern__foreach_mul__tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_mul__tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_mul_tensorlist_tensorlist)(void* self, void* other);
   HOST_API void* lantern__foreach_mul_tensorlist_tensorlist(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_mul_tensorlist_tensorlist(self, other); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_mul__tensorlist_tensorlist)(void* self, void* other);
   HOST_API void* lantern__foreach_mul__tensorlist_tensorlist(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_mul__tensorlist_tensorlist(self, other); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_mul_tensorlist_arrayrefscalar)(void* self, void* scalars);
+  HOST_API void* lantern__foreach_mul_tensorlist_arrayrefscalar(void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_mul_tensorlist_arrayrefscalar(self, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_mul__tensorlist_arrayrefscalar)(void* self, void* scalars);
+  HOST_API void* lantern__foreach_mul__tensorlist_arrayrefscalar(void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_mul__tensorlist_arrayrefscalar(self, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_mul_tensorlist_tensor)(void* self, void* other);
+  HOST_API void* lantern__foreach_mul_tensorlist_tensor(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_mul_tensorlist_tensor(self, other); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_mul__tensorlist_tensor)(void* self, void* other);
+  HOST_API void* lantern__foreach_mul__tensorlist_tensor(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_mul__tensorlist_tensor(self, other); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_div_tensorlist_scalar)(void* self, void* scalar);
+  HOST_API void* lantern__foreach_div_tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_div_tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_div__tensorlist_scalar)(void* self, void* scalar);
+  HOST_API void* lantern__foreach_div__tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_div__tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_div_tensorlist_tensorlist)(void* self, void* other);
   HOST_API void* lantern__foreach_div_tensorlist_tensorlist(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_div_tensorlist_tensorlist(self, other); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_div__tensorlist_tensorlist)(void* self, void* other);
   HOST_API void* lantern__foreach_div__tensorlist_tensorlist(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_div__tensorlist_tensorlist(self, other); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_min_tensorlist_tensorlist)(void* self, void* other);
-  HOST_API void* lantern__foreach_clamp_min_tensorlist_tensorlist(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_min_tensorlist_tensorlist(self, other); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_min__tensorlist_tensorlist)(void* self, void* other);
-  HOST_API void* lantern__foreach_clamp_min__tensorlist_tensorlist(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_min__tensorlist_tensorlist(self, other); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_max_tensorlist_tensorlist)(void* self, void* other);
-  HOST_API void* lantern__foreach_clamp_max_tensorlist_tensorlist(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_max_tensorlist_tensorlist(self, other); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_max__tensorlist_tensorlist)(void* self, void* other);
-  HOST_API void* lantern__foreach_clamp_max__tensorlist_tensorlist(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_max__tensorlist_tensorlist(self, other); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_maximum_tensorlist_tensorlist)(void* self, void* other);
-  HOST_API void* lantern__foreach_maximum_tensorlist_tensorlist(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_maximum_tensorlist_tensorlist(self, other); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_maximum__tensorlist_tensorlist)(void* self, void* other);
-  HOST_API void* lantern__foreach_maximum__tensorlist_tensorlist(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_maximum__tensorlist_tensorlist(self, other); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_minimum_tensorlist_tensorlist)(void* self, void* other);
-  HOST_API void* lantern__foreach_minimum_tensorlist_tensorlist(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_minimum_tensorlist_tensorlist(self, other); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_minimum__tensorlist_tensorlist)(void* self, void* other);
-  HOST_API void* lantern__foreach_minimum__tensorlist_tensorlist(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_minimum__tensorlist_tensorlist(self, other); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_add_tensorlist_arrayrefscalar)(void* self, void* scalars);
-  HOST_API void* lantern__foreach_add_tensorlist_arrayrefscalar(void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_add_tensorlist_arrayrefscalar(self, scalars); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_add__tensorlist_arrayrefscalar)(void* self, void* scalars);
-  HOST_API void* lantern__foreach_add__tensorlist_arrayrefscalar(void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_add__tensorlist_arrayrefscalar(self, scalars); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sub_tensorlist_arrayrefscalar)(void* self, void* scalars);
-  HOST_API void* lantern__foreach_sub_tensorlist_arrayrefscalar(void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sub_tensorlist_arrayrefscalar(self, scalars); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sub__tensorlist_arrayrefscalar)(void* self, void* scalars);
-  HOST_API void* lantern__foreach_sub__tensorlist_arrayrefscalar(void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sub__tensorlist_arrayrefscalar(self, scalars); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_div_tensorlist_arrayrefscalar)(void* self, void* scalars);
   HOST_API void* lantern__foreach_div_tensorlist_arrayrefscalar(void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_div_tensorlist_arrayrefscalar(self, scalars); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_div__tensorlist_arrayrefscalar)(void* self, void* scalars);
   HOST_API void* lantern__foreach_div__tensorlist_arrayrefscalar(void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_div__tensorlist_arrayrefscalar(self, scalars); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_mul_tensorlist_arrayrefscalar)(void* self, void* scalars);
-  HOST_API void* lantern__foreach_mul_tensorlist_arrayrefscalar(void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_mul_tensorlist_arrayrefscalar(self, scalars); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_mul__tensorlist_arrayrefscalar)(void* self, void* scalars);
-  HOST_API void* lantern__foreach_mul__tensorlist_arrayrefscalar(void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_mul__tensorlist_arrayrefscalar(self, scalars); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_min_tensorlist_arrayrefscalar)(void* self, void* scalars);
-  HOST_API void* lantern__foreach_clamp_min_tensorlist_arrayrefscalar(void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_min_tensorlist_arrayrefscalar(self, scalars); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_min__tensorlist_arrayrefscalar)(void* self, void* scalars);
-  HOST_API void* lantern__foreach_clamp_min__tensorlist_arrayrefscalar(void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_min__tensorlist_arrayrefscalar(self, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_div_tensorlist_tensor)(void* self, void* other);
+  HOST_API void* lantern__foreach_div_tensorlist_tensor(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_div_tensorlist_tensor(self, other); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_div__tensorlist_tensor)(void* self, void* other);
+  HOST_API void* lantern__foreach_div__tensorlist_tensor(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_div__tensorlist_tensor(self, other); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_max_tensorlist_scalar)(void* self, void* scalar);
+  HOST_API void* lantern__foreach_clamp_max_tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_max_tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_max__tensorlist_scalar)(void* self, void* scalar);
+  HOST_API void* lantern__foreach_clamp_max__tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_max__tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_max_tensorlist_tensorlist)(void* self, void* other);
+  HOST_API void* lantern__foreach_clamp_max_tensorlist_tensorlist(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_max_tensorlist_tensorlist(self, other); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_max__tensorlist_tensorlist)(void* self, void* other);
+  HOST_API void* lantern__foreach_clamp_max__tensorlist_tensorlist(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_max__tensorlist_tensorlist(self, other); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_max_tensorlist_arrayrefscalar)(void* self, void* scalars);
   HOST_API void* lantern__foreach_clamp_max_tensorlist_arrayrefscalar(void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_max_tensorlist_arrayrefscalar(self, scalars); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_max__tensorlist_arrayrefscalar)(void* self, void* scalars);
   HOST_API void* lantern__foreach_clamp_max__tensorlist_arrayrefscalar(void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_max__tensorlist_arrayrefscalar(self, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_min_tensorlist_scalar)(void* self, void* scalar);
+  HOST_API void* lantern__foreach_clamp_min_tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_min_tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_min__tensorlist_scalar)(void* self, void* scalar);
+  HOST_API void* lantern__foreach_clamp_min__tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_min__tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_min_tensorlist_tensorlist)(void* self, void* other);
+  HOST_API void* lantern__foreach_clamp_min_tensorlist_tensorlist(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_min_tensorlist_tensorlist(self, other); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_min__tensorlist_tensorlist)(void* self, void* other);
+  HOST_API void* lantern__foreach_clamp_min__tensorlist_tensorlist(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_min__tensorlist_tensorlist(self, other); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_min_tensorlist_arrayrefscalar)(void* self, void* scalars);
+  HOST_API void* lantern__foreach_clamp_min_tensorlist_arrayrefscalar(void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_min_tensorlist_arrayrefscalar(self, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_min__tensorlist_arrayrefscalar)(void* self, void* scalars);
+  HOST_API void* lantern__foreach_clamp_min__tensorlist_arrayrefscalar(void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_min__tensorlist_arrayrefscalar(self, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_maximum_tensorlist_scalar)(void* self, void* scalar);
+  HOST_API void* lantern__foreach_maximum_tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_maximum_tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_maximum__tensorlist_scalar)(void* self, void* scalar);
+  HOST_API void* lantern__foreach_maximum__tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_maximum__tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_maximum_tensorlist_tensorlist)(void* self, void* other);
+  HOST_API void* lantern__foreach_maximum_tensorlist_tensorlist(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_maximum_tensorlist_tensorlist(self, other); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_maximum__tensorlist_tensorlist)(void* self, void* other);
+  HOST_API void* lantern__foreach_maximum__tensorlist_tensorlist(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_maximum__tensorlist_tensorlist(self, other); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_maximum_tensorlist_arrayrefscalar)(void* self, void* scalars);
   HOST_API void* lantern__foreach_maximum_tensorlist_arrayrefscalar(void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_maximum_tensorlist_arrayrefscalar(self, scalars); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_maximum__tensorlist_arrayrefscalar)(void* self, void* scalars);
   HOST_API void* lantern__foreach_maximum__tensorlist_arrayrefscalar(void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_maximum__tensorlist_arrayrefscalar(self, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_minimum_tensorlist_scalar)(void* self, void* scalar);
+  HOST_API void* lantern__foreach_minimum_tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_minimum_tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_minimum__tensorlist_scalar)(void* self, void* scalar);
+  HOST_API void* lantern__foreach_minimum__tensorlist_scalar(void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_minimum__tensorlist_scalar(self, scalar); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_minimum_tensorlist_tensorlist)(void* self, void* other);
+  HOST_API void* lantern__foreach_minimum_tensorlist_tensorlist(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_minimum_tensorlist_tensorlist(self, other); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_minimum__tensorlist_tensorlist)(void* self, void* other);
+  HOST_API void* lantern__foreach_minimum__tensorlist_tensorlist(void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_minimum__tensorlist_tensorlist(self, other); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_minimum_tensorlist_arrayrefscalar)(void* self, void* scalars);
   HOST_API void* lantern__foreach_minimum_tensorlist_arrayrefscalar(void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_minimum_tensorlist_arrayrefscalar(self, scalars); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_minimum__tensorlist_arrayrefscalar)(void* self, void* scalars);
   HOST_API void* lantern__foreach_minimum__tensorlist_arrayrefscalar(void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_minimum__tensorlist_arrayrefscalar(self, scalars); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_exp_tensorlist)(void* self);
-  HOST_API void* lantern__foreach_exp_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_exp_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_zero__tensorlist)(void* self);
-  HOST_API void* lantern__foreach_zero__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_zero__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_exp__tensorlist)(void* self);
-  HOST_API void* lantern__foreach_exp__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_exp__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sqrt_tensorlist)(void* self);
-  HOST_API void* lantern__foreach_sqrt_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sqrt_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sqrt__tensorlist)(void* self);
-  HOST_API void* lantern__foreach_sqrt__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sqrt__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_scalar)(void* self, void* tensor1, void* tensor2, void* value);
+  HOST_API void* lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_scalar(void* self, void* tensor1, void* tensor2, void* value) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_scalar(self, tensor1, tensor2, value); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_arrayrefscalar)(void* self, void* tensor1, void* tensor2, void* scalars);
+  HOST_API void* lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_arrayrefscalar(void* self, void* tensor1, void* tensor2, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_arrayrefscalar(self, tensor1, tensor2, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_tensor)(void* self, void* tensor1, void* tensor2, void* scalars);
+  HOST_API void* lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_tensor(void* self, void* tensor1, void* tensor2, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_tensor(self, tensor1, tensor2, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_scalar)(void* self, void* tensor1, void* tensor2, void* value);
+  HOST_API void* lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_scalar(void* self, void* tensor1, void* tensor2, void* value) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_scalar(self, tensor1, tensor2, value); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_arrayrefscalar)(void* self, void* tensor1, void* tensor2, void* scalars);
+  HOST_API void* lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_arrayrefscalar(void* self, void* tensor1, void* tensor2, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_arrayrefscalar(self, tensor1, tensor2, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_tensor)(void* self, void* tensor1, void* tensor2, void* scalars);
+  HOST_API void* lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_tensor(void* self, void* tensor1, void* tensor2, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_tensor(self, tensor1, tensor2, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_scalar)(void* self, void* tensor1, void* tensor2, void* value);
+  HOST_API void* lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_scalar(void* self, void* tensor1, void* tensor2, void* value) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_scalar(self, tensor1, tensor2, value); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_arrayrefscalar)(void* self, void* tensor1, void* tensor2, void* scalars);
+  HOST_API void* lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_arrayrefscalar(void* self, void* tensor1, void* tensor2, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_arrayrefscalar(self, tensor1, tensor2, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_tensor)(void* self, void* tensor1, void* tensor2, void* scalars);
+  HOST_API void* lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_tensor(void* self, void* tensor1, void* tensor2, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_tensor(self, tensor1, tensor2, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_scalar)(void* self, void* tensor1, void* tensor2, void* value);
+  HOST_API void* lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_scalar(void* self, void* tensor1, void* tensor2, void* value) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_scalar(self, tensor1, tensor2, value); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_arrayrefscalar)(void* self, void* tensor1, void* tensor2, void* scalars);
+  HOST_API void* lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_arrayrefscalar(void* self, void* tensor1, void* tensor2, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_arrayrefscalar(self, tensor1, tensor2, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_tensor)(void* self, void* tensor1, void* tensor2, void* scalars);
+  HOST_API void* lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_tensor(void* self, void* tensor1, void* tensor2, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_tensor(self, tensor1, tensor2, scalars); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_abs_tensorlist)(void* self);
   HOST_API void* lantern__foreach_abs_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_abs_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_abs__tensorlist)(void* self);
@@ -7158,6 +7374,10 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern__foreach_erfc_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_erfc_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_erfc__tensorlist)(void* self);
   HOST_API void* lantern__foreach_erfc__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_erfc__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_exp_tensorlist)(void* self);
+  HOST_API void* lantern__foreach_exp_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_exp_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_exp__tensorlist)(void* self);
+  HOST_API void* lantern__foreach_exp__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_exp__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_expm1_tensorlist)(void* self);
   HOST_API void* lantern__foreach_expm1_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_expm1_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_expm1__tensorlist)(void* self);
@@ -7166,6 +7386,22 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern__foreach_floor_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_floor_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_floor__tensorlist)(void* self);
   HOST_API void* lantern__foreach_floor__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_floor__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_frac_tensorlist)(void* self);
+  HOST_API void* lantern__foreach_frac_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_frac_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_frac__tensorlist)(void* self);
+  HOST_API void* lantern__foreach_frac__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_frac__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_lerp_tensorlist_tensorlist_tensorlist)(void* self, void* tensors1, void* weights);
+  HOST_API void* lantern__foreach_lerp_tensorlist_tensorlist_tensorlist(void* self, void* tensors1, void* weights) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_lerp_tensorlist_tensorlist_tensorlist(self, tensors1, weights); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_lerp__tensorlist_tensorlist_tensorlist)(void* self, void* tensors1, void* weights);
+  HOST_API void* lantern__foreach_lerp__tensorlist_tensorlist_tensorlist(void* self, void* tensors1, void* weights) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_lerp__tensorlist_tensorlist_tensorlist(self, tensors1, weights); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_lerp_tensorlist_tensorlist_scalar)(void* self, void* tensors1, void* weight);
+  HOST_API void* lantern__foreach_lerp_tensorlist_tensorlist_scalar(void* self, void* tensors1, void* weight) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_lerp_tensorlist_tensorlist_scalar(self, tensors1, weight); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_lerp__tensorlist_tensorlist_scalar)(void* self, void* tensors1, void* weight);
+  HOST_API void* lantern__foreach_lerp__tensorlist_tensorlist_scalar(void* self, void* tensors1, void* weight) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_lerp__tensorlist_tensorlist_scalar(self, tensors1, weight); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_lgamma_tensorlist)(void* self);
+  HOST_API void* lantern__foreach_lgamma_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_lgamma_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_lgamma__tensorlist)(void* self);
+  HOST_API void* lantern__foreach_lgamma__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_lgamma__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_log_tensorlist)(void* self);
   HOST_API void* lantern__foreach_log_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_log_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_log__tensorlist)(void* self);
@@ -7182,84 +7418,74 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern__foreach_log2_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_log2_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_log2__tensorlist)(void* self);
   HOST_API void* lantern__foreach_log2__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_log2__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_max_tensorlist)(void* self);
+  HOST_API void* lantern__foreach_max_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_max_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_neg_tensorlist)(void* self);
   HOST_API void* lantern__foreach_neg_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_neg_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_neg__tensorlist)(void* self);
   HOST_API void* lantern__foreach_neg__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_neg__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_tan_tensorlist)(void* self);
-  HOST_API void* lantern__foreach_tan_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_tan_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_tan__tensorlist)(void* self);
-  HOST_API void* lantern__foreach_tan__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_tan__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_tanh_tensorlist)(void* self);
-  HOST_API void* lantern__foreach_tanh_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_tanh_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_tanh__tensorlist)(void* self);
-  HOST_API void* lantern__foreach_tanh__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_tanh__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sin_tensorlist)(void* self);
-  HOST_API void* lantern__foreach_sin_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sin_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sin__tensorlist)(void* self);
-  HOST_API void* lantern__foreach_sin__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sin__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sinh_tensorlist)(void* self);
-  HOST_API void* lantern__foreach_sinh_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sinh_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sinh__tensorlist)(void* self);
-  HOST_API void* lantern__foreach_sinh__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sinh__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_round_tensorlist)(void* self);
-  HOST_API void* lantern__foreach_round_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_round_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_round__tensorlist)(void* self);
-  HOST_API void* lantern__foreach_round__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_round__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_lgamma_tensorlist)(void* self);
-  HOST_API void* lantern__foreach_lgamma_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_lgamma_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_lgamma__tensorlist)(void* self);
-  HOST_API void* lantern__foreach_lgamma__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_lgamma__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_frac_tensorlist)(void* self);
-  HOST_API void* lantern__foreach_frac_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_frac_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_frac__tensorlist)(void* self);
-  HOST_API void* lantern__foreach_frac__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_frac__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_norm_tensorlist_scalar_scalartype)(void* self, void* ord, void* dtype);
+  HOST_API void* lantern__foreach_norm_tensorlist_scalar_scalartype(void* self, void* ord, void* dtype) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_norm_tensorlist_scalar_scalartype(self, ord, dtype); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_pow_tensorlist_tensorlist)(void* self, void* exponent);
+  HOST_API void* lantern__foreach_pow_tensorlist_tensorlist(void* self, void* exponent) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_pow_tensorlist_tensorlist(self, exponent); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_pow_tensorlist_scalar)(void* self, void* exponent);
+  HOST_API void* lantern__foreach_pow_tensorlist_scalar(void* self, void* exponent) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_pow_tensorlist_scalar(self, exponent); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_pow_tensorlist_arrayrefscalar)(void* self, void* exponent);
+  HOST_API void* lantern__foreach_pow_tensorlist_arrayrefscalar(void* self, void* exponent) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_pow_tensorlist_arrayrefscalar(self, exponent); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_pow_scalar_tensorlist)(void* self, void* exponent);
+  HOST_API void* lantern__foreach_pow_scalar_tensorlist(void* self, void* exponent) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_pow_scalar_tensorlist(self, exponent); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_pow__tensorlist_tensorlist)(void* self, void* exponent);
+  HOST_API void* lantern__foreach_pow__tensorlist_tensorlist(void* self, void* exponent) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_pow__tensorlist_tensorlist(self, exponent); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_pow__tensorlist_scalar)(void* self, void* exponent);
+  HOST_API void* lantern__foreach_pow__tensorlist_scalar(void* self, void* exponent) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_pow__tensorlist_scalar(self, exponent); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_pow__tensorlist_arrayrefscalar)(void* self, void* exponent);
+  HOST_API void* lantern__foreach_pow__tensorlist_arrayrefscalar(void* self, void* exponent) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_pow__tensorlist_arrayrefscalar(self, exponent); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_reciprocal_tensorlist)(void* self);
   HOST_API void* lantern__foreach_reciprocal_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_reciprocal_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_reciprocal__tensorlist)(void* self);
   HOST_API void* lantern__foreach_reciprocal__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_reciprocal__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_round_tensorlist)(void* self);
+  HOST_API void* lantern__foreach_round_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_round_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_round__tensorlist)(void* self);
+  HOST_API void* lantern__foreach_round__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_round__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_sigmoid_tensorlist)(void* self);
   HOST_API void* lantern__foreach_sigmoid_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sigmoid_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_sigmoid__tensorlist)(void* self);
   HOST_API void* lantern__foreach_sigmoid__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sigmoid__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sign_tensorlist)(void* self);
+  HOST_API void* lantern__foreach_sign_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sign_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sign__tensorlist)(void* self);
+  HOST_API void* lantern__foreach_sign__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sign__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sin_tensorlist)(void* self);
+  HOST_API void* lantern__foreach_sin_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sin_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sin__tensorlist)(void* self);
+  HOST_API void* lantern__foreach_sin__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sin__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sinh_tensorlist)(void* self);
+  HOST_API void* lantern__foreach_sinh_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sinh_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sinh__tensorlist)(void* self);
+  HOST_API void* lantern__foreach_sinh__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sinh__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sqrt_tensorlist)(void* self);
+  HOST_API void* lantern__foreach_sqrt_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sqrt_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sqrt__tensorlist)(void* self);
+  HOST_API void* lantern__foreach_sqrt__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sqrt__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_tan_tensorlist)(void* self);
+  HOST_API void* lantern__foreach_tan_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_tan_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_tan__tensorlist)(void* self);
+  HOST_API void* lantern__foreach_tan__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_tan__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_tanh_tensorlist)(void* self);
+  HOST_API void* lantern__foreach_tanh_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_tanh_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_tanh__tensorlist)(void* self);
+  HOST_API void* lantern__foreach_tanh__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_tanh__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_trunc_tensorlist)(void* self);
   HOST_API void* lantern__foreach_trunc_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_trunc_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_trunc__tensorlist)(void* self);
   HOST_API void* lantern__foreach_trunc__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_trunc__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_scalar)(void* self, void* tensor1, void* tensor2, void* value);
-  HOST_API void* lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_scalar(void* self, void* tensor1, void* tensor2, void* value) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_scalar(self, tensor1, tensor2, value); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_scalar)(void* self, void* tensor1, void* tensor2, void* value);
-  HOST_API void* lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_scalar(void* self, void* tensor1, void* tensor2, void* value) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_scalar(self, tensor1, tensor2, value); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_arrayrefscalar)(void* self, void* tensor1, void* tensor2, void* scalars);
-  HOST_API void* lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_arrayrefscalar(void* self, void* tensor1, void* tensor2, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_arrayrefscalar(self, tensor1, tensor2, scalars); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_tensor)(void* self, void* tensor1, void* tensor2, void* scalars);
-  HOST_API void* lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_tensor(void* self, void* tensor1, void* tensor2, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_tensor(self, tensor1, tensor2, scalars); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_arrayrefscalar)(void* self, void* tensor1, void* tensor2, void* scalars);
-  HOST_API void* lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_arrayrefscalar(void* self, void* tensor1, void* tensor2, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_arrayrefscalar(self, tensor1, tensor2, scalars); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_tensor)(void* self, void* tensor1, void* tensor2, void* scalars);
-  HOST_API void* lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_tensor(void* self, void* tensor1, void* tensor2, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_tensor(self, tensor1, tensor2, scalars); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_scalar)(void* self, void* tensor1, void* tensor2, void* value);
-  HOST_API void* lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_scalar(void* self, void* tensor1, void* tensor2, void* value) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_scalar(self, tensor1, tensor2, value); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_scalar)(void* self, void* tensor1, void* tensor2, void* value);
-  HOST_API void* lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_scalar(void* self, void* tensor1, void* tensor2, void* value) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_scalar(self, tensor1, tensor2, value); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_arrayrefscalar)(void* self, void* tensor1, void* tensor2, void* scalars);
-  HOST_API void* lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_arrayrefscalar(void* self, void* tensor1, void* tensor2, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_arrayrefscalar(self, tensor1, tensor2, scalars); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_tensor)(void* self, void* tensor1, void* tensor2, void* scalars);
-  HOST_API void* lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_tensor(void* self, void* tensor1, void* tensor2, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_tensor(self, tensor1, tensor2, scalars); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_arrayrefscalar)(void* self, void* tensor1, void* tensor2, void* scalars);
-  HOST_API void* lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_arrayrefscalar(void* self, void* tensor1, void* tensor2, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_arrayrefscalar(self, tensor1, tensor2, scalars); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_tensor)(void* self, void* tensor1, void* tensor2, void* scalars);
-  HOST_API void* lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_tensor(void* self, void* tensor1, void* tensor2, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_tensor(self, tensor1, tensor2, scalars); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_norm_tensorlist_scalar)(void* self, void* ord);
-  HOST_API void* lantern__foreach_norm_tensorlist_scalar(void* self, void* ord) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_norm_tensorlist_scalar(self, ord); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_lerp_tensorlist_tensorlist_tensorlist)(void* self, void* tensors1, void* weights);
-  HOST_API void* lantern__foreach_lerp_tensorlist_tensorlist_tensorlist(void* self, void* tensors1, void* weights) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_lerp_tensorlist_tensorlist_tensorlist(self, tensors1, weights); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_lerp__tensorlist_tensorlist_tensorlist)(void* self, void* tensors1, void* weights);
-  HOST_API void* lantern__foreach_lerp__tensorlist_tensorlist_tensorlist(void* self, void* tensors1, void* weights) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_lerp__tensorlist_tensorlist_tensorlist(self, tensors1, weights); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_lerp_tensorlist_tensorlist_scalar)(void* self, void* tensors1, void* weight);
-  HOST_API void* lantern__foreach_lerp_tensorlist_tensorlist_scalar(void* self, void* tensors1, void* weight) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_lerp_tensorlist_tensorlist_scalar(self, tensors1, weight); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_lerp__tensorlist_tensorlist_scalar)(void* self, void* tensors1, void* weight);
-  HOST_API void* lantern__foreach_lerp__tensorlist_tensorlist_scalar(void* self, void* tensors1, void* weight) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_lerp__tensorlist_tensorlist_scalar(self, tensors1, weight); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_zero__tensorlist)(void* self);
+  HOST_API void* lantern__foreach_zero__tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_zero__tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_copy__tensorlist_tensorlist_bool)(void* self, void* src, void* non_blocking);
+  HOST_API void* lantern__foreach_copy__tensorlist_tensorlist_bool(void* self, void* src, void* non_blocking) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_copy__tensorlist_tensorlist_bool(self, src, non_blocking); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_copy_tensorlist_tensorlist_bool)(void* self, void* src, void* non_blocking);
+  HOST_API void* lantern__foreach_copy_tensorlist_tensorlist_bool(void* self, void* src, void* non_blocking) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_copy_tensorlist_tensorlist_bool(self, src, non_blocking); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_bucketize_tensor_tensor_bool_bool)(void* self, void* boundaries, void* out_int32, void* right);
   HOST_API void* lantern_bucketize_tensor_tensor_bool_bool(void* self, void* boundaries, void* out_int32, void* right) { LANTERN_CHECK_LOADED void* ret = _lantern_bucketize_tensor_tensor_bool_bool(self, boundaries, out_int32, right); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_bucketize_out_tensor_tensor_tensor_bool_bool)(void* out, void* self, void* boundaries, void* out_int32, void* right);
@@ -7272,6 +7498,8 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_searchsorted_out_tensor_tensor_tensor_bool_bool_cstringview_tensor(void* out, void* sorted_sequence, void* self, void* out_int32, void* right, void* side, void* sorter) { LANTERN_CHECK_LOADED void* ret = _lantern_searchsorted_out_tensor_tensor_tensor_bool_bool_cstringview_tensor(out, sorted_sequence, self, out_int32, right, side, sorter); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_searchsorted_tensor_scalar_bool_bool_cstringview_tensor)(void* sorted_sequence, void* self, void* out_int32, void* right, void* side, void* sorter);
   HOST_API void* lantern_searchsorted_tensor_scalar_bool_bool_cstringview_tensor(void* sorted_sequence, void* self, void* out_int32, void* right, void* side, void* sorter) { LANTERN_CHECK_LOADED void* ret = _lantern_searchsorted_tensor_scalar_bool_bool_cstringview_tensor(sorted_sequence, self, out_int32, right, side, sorter); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_searchsorted_out_tensor_tensor_scalar_bool_bool_cstringview_tensor)(void* out, void* sorted_sequence, void* self, void* out_int32, void* right, void* side, void* sorter);
+  HOST_API void* lantern_searchsorted_out_tensor_tensor_scalar_bool_bool_cstringview_tensor(void* out, void* sorted_sequence, void* self, void* out_int32, void* right, void* side, void* sorter) { LANTERN_CHECK_LOADED void* ret = _lantern_searchsorted_out_tensor_tensor_scalar_bool_bool_cstringview_tensor(out, sorted_sequence, self, out_int32, right, side, sorter); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__convert_indices_from_coo_to_csr_tensor_intt_bool)(void* self, void* size, void* out_int32);
   HOST_API void* lantern__convert_indices_from_coo_to_csr_tensor_intt_bool(void* self, void* size, void* out_int32) { LANTERN_CHECK_LOADED void* ret = _lantern__convert_indices_from_coo_to_csr_tensor_intt_bool(self, size, out_int32); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__convert_indices_from_coo_to_csr_out_tensor_tensor_intt_bool)(void* out, void* self, void* size, void* out_int32);
@@ -8132,6 +8360,8 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_linalg_eig_tensor(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern_linalg_eig_tensor(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_linalg_eig_out_tensor_tensor_tensor)(void* eigenvalues, void* eigenvectors, void* self);
   HOST_API void* lantern_linalg_eig_out_tensor_tensor_tensor(void* eigenvalues, void* eigenvectors, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern_linalg_eig_out_tensor_tensor_tensor(eigenvalues, eigenvectors, self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__linalg_eigvals_tensor)(void* self);
+  HOST_API void* lantern__linalg_eigvals_tensor(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__linalg_eigvals_tensor(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_linalg_eigvals_tensor)(void* self);
   HOST_API void* lantern_linalg_eigvals_tensor(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern_linalg_eigvals_tensor(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_linalg_eigvals_out_tensor_tensor)(void* out, void* self);
@@ -8250,6 +8480,8 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_linalg_solve_ex_out_tensor_tensor_tensor_tensor_bool_bool(void* result, void* info, void* A, void* B, void* left, void* check_errors) { LANTERN_CHECK_LOADED void* ret = _lantern_linalg_solve_ex_out_tensor_tensor_tensor_tensor_bool_bool(result, info, A, B, left, check_errors); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_linalg_solve_tensor_tensor_bool)(void* A, void* B, void* left);
   HOST_API void* lantern_linalg_solve_tensor_tensor_bool(void* A, void* B, void* left) { LANTERN_CHECK_LOADED void* ret = _lantern_linalg_solve_tensor_tensor_bool(A, B, left); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__spsolve_tensor_tensor_bool)(void* A, void* B, void* left);
+  HOST_API void* lantern__spsolve_tensor_tensor_bool(void* A, void* B, void* left) { LANTERN_CHECK_LOADED void* ret = _lantern__spsolve_tensor_tensor_bool(A, B, left); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_linalg_solve_out_tensor_tensor_tensor_bool)(void* out, void* A, void* B, void* left);
   HOST_API void* lantern_linalg_solve_out_tensor_tensor_tensor_bool(void* out, void* A, void* B, void* left) { LANTERN_CHECK_LOADED void* ret = _lantern_linalg_solve_out_tensor_tensor_tensor_bool(out, A, B, left); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_linalg_tensorinv_tensor_intt)(void* self, void* ind);
@@ -8292,6 +8524,8 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_nested_to_padded_tensor_tensor_double_intarrayref(void* self, void* padding, void* output_size) { LANTERN_CHECK_LOADED void* ret = _lantern_nested_to_padded_tensor_tensor_double_intarrayref(self, padding, output_size); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__test_serialization_subcmul_tensor_tensor_scalar)(void* self, void* other, void* alpha);
   HOST_API void* lantern__test_serialization_subcmul_tensor_tensor_scalar(void* self, void* other, void* alpha) { LANTERN_CHECK_LOADED void* ret = _lantern__test_serialization_subcmul_tensor_tensor_scalar(self, other, alpha); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__test_parallel_materialize_tensor_intt_bool)(void* self, void* num_parallel, void* skip_first);
+  HOST_API void* lantern__test_parallel_materialize_tensor_intt_bool(void* self, void* num_parallel, void* skip_first) { LANTERN_CHECK_LOADED void* ret = _lantern__test_parallel_materialize_tensor_intt_bool(self, num_parallel, skip_first); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__test_optional_intlist_tensor_intarrayref)(void* values, void* addends);
   HOST_API void* lantern__test_optional_intlist_tensor_intarrayref(void* values, void* addends) { LANTERN_CHECK_LOADED void* ret = _lantern__test_optional_intlist_tensor_intarrayref(values, addends); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__test_optional_filled_intlist_tensor_intarrayref)(void* values, void* addends);
@@ -8318,8 +8552,8 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_segment_reduce_tensor_cstringview_tensor_tensor_tensor_intt_bool_scalar(void* data, void* reduce, void* lengths, void* indices, void* offsets, void* axis, void* unsafe, void* initial) { LANTERN_CHECK_LOADED void* ret = _lantern_segment_reduce_tensor_cstringview_tensor_tensor_tensor_intt_bool_scalar(data, reduce, lengths, indices, offsets, axis, unsafe, initial); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__segment_reduce_backward_tensor_tensor_tensor_cstringview_tensor_tensor_intt_scalar)(void* grad, void* output, void* data, void* reduce, void* lengths, void* offsets, void* axis, void* initial);
   HOST_API void* lantern__segment_reduce_backward_tensor_tensor_tensor_cstringview_tensor_tensor_intt_scalar(void* grad, void* output, void* data, void* reduce, void* lengths, void* offsets, void* axis, void* initial) { LANTERN_CHECK_LOADED void* ret = _lantern__segment_reduce_backward_tensor_tensor_tensor_cstringview_tensor_tensor_intt_scalar(grad, output, data, reduce, lengths, offsets, axis, initial); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_pad_sequence_tensorlist_bool_double)(void* sequences, void* batch_first, void* padding_value);
-  HOST_API void* lantern_pad_sequence_tensorlist_bool_double(void* sequences, void* batch_first, void* padding_value) { LANTERN_CHECK_LOADED void* ret = _lantern_pad_sequence_tensorlist_bool_double(sequences, batch_first, padding_value); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_pad_sequence_tensorlist_bool_double_cstringview)(void* sequences, void* batch_first, void* padding_value, void* padding_side);
+  HOST_API void* lantern_pad_sequence_tensorlist_bool_double_cstringview(void* sequences, void* batch_first, void* padding_value, void* padding_side) { LANTERN_CHECK_LOADED void* ret = _lantern_pad_sequence_tensorlist_bool_double_cstringview(sequences, batch_first, padding_value, padding_side); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_flatten_dense_tensors_tensorlist)(void* tensors);
   HOST_API void* lantern_flatten_dense_tensors_tensorlist(void* tensors) { LANTERN_CHECK_LOADED void* ret = _lantern_flatten_dense_tensors_tensorlist(tensors); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_unflatten_dense_tensors_tensor_tensorlist)(void* flat, void* tensors);
@@ -8406,50 +8640,64 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_alias_copy_tensor(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern_alias_copy_tensor(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_Tensor_to_padded_tensor_tensor_double_intarrayref)(void* self, void* padding, void* output_size);
   HOST_API void* lantern_Tensor_to_padded_tensor_tensor_double_intarrayref(void* self, void* padding, void* output_size) { void* ret = _lantern_Tensor_to_padded_tensor_tensor_double_intarrayref(self, padding, output_size); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__jagged_to_padded_dense_forward_tensor_tensorlist_intarrayref_double)(void* values, void* offsets, void* max_lengths, void* padding_value);
+  HOST_API void* lantern__jagged_to_padded_dense_forward_tensor_tensorlist_intarrayref_double(void* values, void* offsets, void* max_lengths, void* padding_value) { LANTERN_CHECK_LOADED void* ret = _lantern__jagged_to_padded_dense_forward_tensor_tensorlist_intarrayref_double(values, offsets, max_lengths, padding_value); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__padded_dense_to_jagged_forward_tensor_tensorlist_intt)(void* dense, void* offsets, void* total_L);
+  HOST_API void* lantern__padded_dense_to_jagged_forward_tensor_tensorlist_intt(void* dense, void* offsets, void* total_L) { LANTERN_CHECK_LOADED void* ret = _lantern__padded_dense_to_jagged_forward_tensor_tensorlist_intt(dense, offsets, total_L); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__nested_tensor_softmax_with_shape_tensor_tensor)(void* self, void* query);
   HOST_API void* lantern__nested_tensor_softmax_with_shape_tensor_tensor(void* self, void* query) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_tensor_softmax_with_shape_tensor_tensor(self, query); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__safe_softmax_tensor_intt_scalartype)(void* self, void* dim, void* dtype);
+  HOST_API void* lantern__safe_softmax_tensor_intt_scalartype(void* self, void* dim, void* dtype) { LANTERN_CHECK_LOADED void* ret = _lantern__safe_softmax_tensor_intt_scalartype(self, dim, dtype); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__transformer_encoder_layer_fwd_tensor_intt_intt_tensor_tensor_tensor_tensor_bool_bool_double_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt)(void* src, void* embed_dim, void* num_heads, void* qkv_weight, void* qkv_bias, void* proj_weight, void* proj_bias, void* use_gelu, void* norm_first, void* eps, void* norm_weight_1, void* norm_bias_1, void* norm_weight_2, void* norm_bias_2, void* ffn_weight_1, void* ffn_bias_1, void* ffn_weight_2, void* ffn_bias_2, void* mask, void* mask_type);
   HOST_API void* lantern__transformer_encoder_layer_fwd_tensor_intt_intt_tensor_tensor_tensor_tensor_bool_bool_double_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt(void* src, void* embed_dim, void* num_heads, void* qkv_weight, void* qkv_bias, void* proj_weight, void* proj_bias, void* use_gelu, void* norm_first, void* eps, void* norm_weight_1, void* norm_bias_1, void* norm_weight_2, void* norm_bias_2, void* ffn_weight_1, void* ffn_bias_1, void* ffn_weight_2, void* ffn_bias_2, void* mask, void* mask_type) { LANTERN_CHECK_LOADED void* ret = _lantern__transformer_encoder_layer_fwd_tensor_intt_intt_tensor_tensor_tensor_tensor_bool_bool_double_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt(src, embed_dim, num_heads, qkv_weight, qkv_bias, proj_weight, proj_bias, use_gelu, norm_first, eps, norm_weight_1, norm_bias_1, norm_weight_2, norm_bias_2, ffn_weight_1, ffn_bias_1, ffn_weight_2, ffn_bias_2, mask, mask_type); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__native_multi_head_attention_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_tensor_bool_bool_intt)(void* query, void* key, void* value, void* embed_dim, void* num_head, void* qkv_weight, void* qkv_bias, void* proj_weight, void* proj_bias, void* mask, void* need_weights, void* average_attn_weights, void* mask_type);
   HOST_API void* lantern__native_multi_head_attention_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_tensor_bool_bool_intt(void* query, void* key, void* value, void* embed_dim, void* num_head, void* qkv_weight, void* qkv_bias, void* proj_weight, void* proj_bias, void* mask, void* need_weights, void* average_attn_weights, void* mask_type) { LANTERN_CHECK_LOADED void* ret = _lantern__native_multi_head_attention_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_tensor_bool_bool_intt(query, key, value, embed_dim, num_head, qkv_weight, qkv_bias, proj_weight, proj_bias, mask, need_weights, average_attn_weights, mask_type); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_scaled_dot_product_attention_tensor_tensor_tensor_tensor_double_bool)(void* query, void* key, void* value, void* attn_mask, void* dropout_p, void* is_causal);
-  HOST_API void* lantern_scaled_dot_product_attention_tensor_tensor_tensor_tensor_double_bool(void* query, void* key, void* value, void* attn_mask, void* dropout_p, void* is_causal) { LANTERN_CHECK_LOADED void* ret = _lantern_scaled_dot_product_attention_tensor_tensor_tensor_tensor_double_bool(query, key, value, attn_mask, dropout_p, is_causal); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__scaled_dot_product_attention_tensor_tensor_tensor_tensor_double_bool_bool)(void* query, void* key, void* value, void* attn_mask, void* dropout_p, void* need_attn_weights, void* is_causal);
-  HOST_API void* lantern__scaled_dot_product_attention_tensor_tensor_tensor_tensor_double_bool_bool(void* query, void* key, void* value, void* attn_mask, void* dropout_p, void* need_attn_weights, void* is_causal) { LANTERN_CHECK_LOADED void* ret = _lantern__scaled_dot_product_attention_tensor_tensor_tensor_tensor_double_bool_bool(query, key, value, attn_mask, dropout_p, need_attn_weights, is_causal); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__fused_sdp_choice_tensor_tensor_tensor_tensor_double_bool)(void* query, void* key, void* value, void* attn_mask, void* dropout_p, void* is_causal);
-  HOST_API void* lantern__fused_sdp_choice_tensor_tensor_tensor_tensor_double_bool(void* query, void* key, void* value, void* attn_mask, void* dropout_p, void* is_causal) { LANTERN_CHECK_LOADED void* ret = _lantern__fused_sdp_choice_tensor_tensor_tensor_tensor_double_bool(query, key, value, attn_mask, dropout_p, is_causal); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__scaled_dot_product_attention_math_tensor_tensor_tensor_tensor_double_bool_tensor)(void* query, void* key, void* value, void* attn_mask, void* dropout_p, void* is_causal, void* dropout_mask);
-  HOST_API void* lantern__scaled_dot_product_attention_math_tensor_tensor_tensor_tensor_double_bool_tensor(void* query, void* key, void* value, void* attn_mask, void* dropout_p, void* is_causal, void* dropout_mask) { LANTERN_CHECK_LOADED void* ret = _lantern__scaled_dot_product_attention_math_tensor_tensor_tensor_tensor_double_bool_tensor(query, key, value, attn_mask, dropout_p, is_causal, dropout_mask); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__scaled_dot_product_flash_attention_tensor_tensor_tensor_double_bool_bool)(void* query, void* key, void* value, void* dropout_p, void* is_causal, void* return_debug_mask);
-  HOST_API void* lantern__scaled_dot_product_flash_attention_tensor_tensor_tensor_double_bool_bool(void* query, void* key, void* value, void* dropout_p, void* is_causal, void* return_debug_mask) { LANTERN_CHECK_LOADED void* ret = _lantern__scaled_dot_product_flash_attention_tensor_tensor_tensor_double_bool_bool(query, key, value, dropout_p, is_causal, return_debug_mask); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__scaled_dot_product_flash_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_intt_intt)(void* grad_out, void* query, void* key, void* value, void* out, void* logsumexp, void* cum_seq_q, void* cum_seq_k, void* max_q, void* max_k, void* dropout_p, void* is_causal, void* philox_seed, void* philox_offset);
-  HOST_API void* lantern__scaled_dot_product_flash_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_intt_intt(void* grad_out, void* query, void* key, void* value, void* out, void* logsumexp, void* cum_seq_q, void* cum_seq_k, void* max_q, void* max_k, void* dropout_p, void* is_causal, void* philox_seed, void* philox_offset) { LANTERN_CHECK_LOADED void* ret = _lantern__scaled_dot_product_flash_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_intt_intt(grad_out, query, key, value, out, logsumexp, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, philox_seed, philox_offset); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__scaled_dot_product_efficient_attention_tensor_tensor_tensor_bool_bool)(void* query, void* key, void* value, void* compute_log_sumexp, void* is_causal);
-  HOST_API void* lantern__scaled_dot_product_efficient_attention_tensor_tensor_tensor_bool_bool(void* query, void* key, void* value, void* compute_log_sumexp, void* is_causal) { LANTERN_CHECK_LOADED void* ret = _lantern__scaled_dot_product_efficient_attention_tensor_tensor_tensor_bool_bool(query, key, value, compute_log_sumexp, is_causal); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__scaled_dot_product_efficient_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_bool_bool)(void* grad_out_, void* query, void* key, void* value, void* out, void* logsumexp, void* is_causal, void* chunk_grad_outputs);
-  HOST_API void* lantern__scaled_dot_product_efficient_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_bool_bool(void* grad_out_, void* query, void* key, void* value, void* out, void* logsumexp, void* is_causal, void* chunk_grad_outputs) { LANTERN_CHECK_LOADED void* ret = _lantern__scaled_dot_product_efficient_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_bool_bool(grad_out_, query, key, value, out, logsumexp, is_causal, chunk_grad_outputs); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__chunk_grad_outputs_efficient_attention_tensor_tensor_tensor_bool)(void* query, void* key, void* value, void* is_causal);
-  HOST_API void* lantern__chunk_grad_outputs_efficient_attention_tensor_tensor_tensor_bool(void* query, void* key, void* value, void* is_causal) { LANTERN_CHECK_LOADED void* ret = _lantern__chunk_grad_outputs_efficient_attention_tensor_tensor_tensor_bool(query, key, value, is_causal); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__flash_attention_forward_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_bool)(void* query, void* key, void* value, void* cum_seq_q, void* cum_seq_k, void* max_q, void* max_k, void* dropout_p, void* is_causal, void* return_debug_mask);
-  HOST_API void* lantern__flash_attention_forward_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_bool(void* query, void* key, void* value, void* cum_seq_q, void* cum_seq_k, void* max_q, void* max_k, void* dropout_p, void* is_causal, void* return_debug_mask) { LANTERN_CHECK_LOADED void* ret = _lantern__flash_attention_forward_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_bool(query, key, value, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, return_debug_mask); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__flash_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_intt_intt)(void* grad_out, void* query, void* key, void* value, void* out, void* logsumexp, void* cum_seq_q, void* cum_seq_k, void* max_q, void* max_k, void* dropout_p, void* is_causal, void* philox_seed, void* philox_offset);
-  HOST_API void* lantern__flash_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_intt_intt(void* grad_out, void* query, void* key, void* value, void* out, void* logsumexp, void* cum_seq_q, void* cum_seq_k, void* max_q, void* max_k, void* dropout_p, void* is_causal, void* philox_seed, void* philox_offset) { LANTERN_CHECK_LOADED void* ret = _lantern__flash_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_intt_intt(grad_out, query, key, value, out, logsumexp, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, philox_seed, philox_offset); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__efficient_attention_forward_tensor_tensor_tensor_tensor_tensor_intt_bool_bool)(void* query, void* key, void* value, void* cu_seqlens_q, void* cu_seqlens_k, void* max_seqlen_q, void* compute_log_sumexp, void* causal);
-  HOST_API void* lantern__efficient_attention_forward_tensor_tensor_tensor_tensor_tensor_intt_bool_bool(void* query, void* key, void* value, void* cu_seqlens_q, void* cu_seqlens_k, void* max_seqlen_q, void* compute_log_sumexp, void* causal) { LANTERN_CHECK_LOADED void* ret = _lantern__efficient_attention_forward_tensor_tensor_tensor_tensor_tensor_intt_bool_bool(query, key, value, cu_seqlens_q, cu_seqlens_k, max_seqlen_q, compute_log_sumexp, causal); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__efficient_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_bool_bool)(void* grad_out_, void* query, void* key, void* value, void* out, void* logsumexp, void* is_causal, void* chunk_grad_outputs);
-  HOST_API void* lantern__efficient_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_bool_bool(void* grad_out_, void* query, void* key, void* value, void* out, void* logsumexp, void* is_causal, void* chunk_grad_outputs) { LANTERN_CHECK_LOADED void* ret = _lantern__efficient_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_bool_bool(grad_out_, query, key, value, out, logsumexp, is_causal, chunk_grad_outputs); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_scaled_dot_product_attention_tensor_tensor_tensor_tensor_double_bool_double_bool)(void* query, void* key, void* value, void* attn_mask, void* dropout_p, void* is_causal, void* scale, void* enable_gqa);
+  HOST_API void* lantern_scaled_dot_product_attention_tensor_tensor_tensor_tensor_double_bool_double_bool(void* query, void* key, void* value, void* attn_mask, void* dropout_p, void* is_causal, void* scale, void* enable_gqa) { LANTERN_CHECK_LOADED void* ret = _lantern_scaled_dot_product_attention_tensor_tensor_tensor_tensor_double_bool_double_bool(query, key, value, attn_mask, dropout_p, is_causal, scale, enable_gqa); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__fused_sdp_choice_tensor_tensor_tensor_tensor_double_bool_double_bool)(void* query, void* key, void* value, void* attn_mask, void* dropout_p, void* is_causal, void* scale, void* enable_gqa);
+  HOST_API void* lantern__fused_sdp_choice_tensor_tensor_tensor_tensor_double_bool_double_bool(void* query, void* key, void* value, void* attn_mask, void* dropout_p, void* is_causal, void* scale, void* enable_gqa) { LANTERN_CHECK_LOADED void* ret = _lantern__fused_sdp_choice_tensor_tensor_tensor_tensor_double_bool_double_bool(query, key, value, attn_mask, dropout_p, is_causal, scale, enable_gqa); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__scaled_dot_product_attention_math_tensor_tensor_tensor_tensor_double_bool_tensor_double_bool)(void* query, void* key, void* value, void* attn_mask, void* dropout_p, void* is_causal, void* dropout_mask, void* scale, void* enable_gqa);
+  HOST_API void* lantern__scaled_dot_product_attention_math_tensor_tensor_tensor_tensor_double_bool_tensor_double_bool(void* query, void* key, void* value, void* attn_mask, void* dropout_p, void* is_causal, void* dropout_mask, void* scale, void* enable_gqa) { LANTERN_CHECK_LOADED void* ret = _lantern__scaled_dot_product_attention_math_tensor_tensor_tensor_tensor_double_bool_tensor_double_bool(query, key, value, attn_mask, dropout_p, is_causal, dropout_mask, scale, enable_gqa); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__scaled_dot_product_attention_math_for_mps_tensor_tensor_tensor_tensor_double_bool_tensor_double)(void* query, void* key, void* value, void* attn_mask, void* dropout_p, void* is_causal, void* dropout_mask, void* scale);
+  HOST_API void* lantern__scaled_dot_product_attention_math_for_mps_tensor_tensor_tensor_tensor_double_bool_tensor_double(void* query, void* key, void* value, void* attn_mask, void* dropout_p, void* is_causal, void* dropout_mask, void* scale) { LANTERN_CHECK_LOADED void* ret = _lantern__scaled_dot_product_attention_math_for_mps_tensor_tensor_tensor_tensor_double_bool_tensor_double(query, key, value, attn_mask, dropout_p, is_causal, dropout_mask, scale); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__scaled_dot_product_flash_attention_tensor_tensor_tensor_double_bool_bool_double)(void* query, void* key, void* value, void* dropout_p, void* is_causal, void* return_debug_mask, void* scale);
+  HOST_API void* lantern__scaled_dot_product_flash_attention_tensor_tensor_tensor_double_bool_bool_double(void* query, void* key, void* value, void* dropout_p, void* is_causal, void* return_debug_mask, void* scale) { LANTERN_CHECK_LOADED void* ret = _lantern__scaled_dot_product_flash_attention_tensor_tensor_tensor_double_bool_bool_double(query, key, value, dropout_p, is_causal, return_debug_mask, scale); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__scaled_dot_product_flash_attention_for_cpu_tensor_tensor_tensor_double_bool_tensor_double)(void* query, void* key, void* value, void* dropout_p, void* is_causal, void* attn_mask, void* scale);
+  HOST_API void* lantern__scaled_dot_product_flash_attention_for_cpu_tensor_tensor_tensor_double_bool_tensor_double(void* query, void* key, void* value, void* dropout_p, void* is_causal, void* attn_mask, void* scale) { LANTERN_CHECK_LOADED void* ret = _lantern__scaled_dot_product_flash_attention_for_cpu_tensor_tensor_tensor_double_bool_tensor_double(query, key, value, dropout_p, is_causal, attn_mask, scale); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__scaled_dot_product_fused_attention_overrideable_tensor_tensor_tensor_tensor_double_bool_bool_double)(void* query, void* key, void* value, void* attn_bias, void* dropout_p, void* is_causal, void* return_debug_mask, void* scale);
+  HOST_API void* lantern__scaled_dot_product_fused_attention_overrideable_tensor_tensor_tensor_tensor_double_bool_bool_double(void* query, void* key, void* value, void* attn_bias, void* dropout_p, void* is_causal, void* return_debug_mask, void* scale) { LANTERN_CHECK_LOADED void* ret = _lantern__scaled_dot_product_fused_attention_overrideable_tensor_tensor_tensor_tensor_double_bool_bool_double(query, key, value, attn_bias, dropout_p, is_causal, return_debug_mask, scale); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__scaled_dot_product_flash_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_tensor_tensor_double)(void* grad_out, void* query, void* key, void* value, void* out, void* logsumexp, void* cum_seq_q, void* cum_seq_k, void* max_q, void* max_k, void* dropout_p, void* is_causal, void* philox_seed, void* philox_offset, void* scale);
+  HOST_API void* lantern__scaled_dot_product_flash_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_tensor_tensor_double(void* grad_out, void* query, void* key, void* value, void* out, void* logsumexp, void* cum_seq_q, void* cum_seq_k, void* max_q, void* max_k, void* dropout_p, void* is_causal, void* philox_seed, void* philox_offset, void* scale) { LANTERN_CHECK_LOADED void* ret = _lantern__scaled_dot_product_flash_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_tensor_tensor_double(grad_out, query, key, value, out, logsumexp, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, philox_seed, philox_offset, scale); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__scaled_dot_product_flash_attention_for_cpu_backward_tensor_tensor_tensor_tensor_tensor_tensor_double_bool_tensor_double)(void* grad_out, void* query, void* key, void* value, void* out, void* logsumexp, void* dropout_p, void* is_causal, void* attn_mask, void* scale);
+  HOST_API void* lantern__scaled_dot_product_flash_attention_for_cpu_backward_tensor_tensor_tensor_tensor_tensor_tensor_double_bool_tensor_double(void* grad_out, void* query, void* key, void* value, void* out, void* logsumexp, void* dropout_p, void* is_causal, void* attn_mask, void* scale) { LANTERN_CHECK_LOADED void* ret = _lantern__scaled_dot_product_flash_attention_for_cpu_backward_tensor_tensor_tensor_tensor_tensor_tensor_double_bool_tensor_double(grad_out, query, key, value, out, logsumexp, dropout_p, is_causal, attn_mask, scale); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__scaled_dot_product_fused_attention_overrideable_backward_tensor_tensor_tensor_tensor_tensor_stdarraybool_tensor_tensor_tensor_tensor_intt_intt_double_bool_tensor_tensor_double)(void* grad_out, void* query, void* key, void* value, void* attn_bias, void* grad_input_mask, void* out, void* logsumexp, void* cum_seq_q, void* cum_seq_k, void* max_q, void* max_k, void* dropout_p, void* is_causal, void* philox_seed, void* philox_offset, void* scale);
+  HOST_API void* lantern__scaled_dot_product_fused_attention_overrideable_backward_tensor_tensor_tensor_tensor_tensor_stdarraybool_tensor_tensor_tensor_tensor_intt_intt_double_bool_tensor_tensor_double(void* grad_out, void* query, void* key, void* value, void* attn_bias, void* grad_input_mask, void* out, void* logsumexp, void* cum_seq_q, void* cum_seq_k, void* max_q, void* max_k, void* dropout_p, void* is_causal, void* philox_seed, void* philox_offset, void* scale) { LANTERN_CHECK_LOADED void* ret = _lantern__scaled_dot_product_fused_attention_overrideable_backward_tensor_tensor_tensor_tensor_tensor_stdarraybool_tensor_tensor_tensor_tensor_intt_intt_double_bool_tensor_tensor_double(grad_out, query, key, value, attn_bias, grad_input_mask, out, logsumexp, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, philox_seed, philox_offset, scale); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__scaled_dot_product_efficient_attention_tensor_tensor_tensor_tensor_bool_double_bool_double)(void* query, void* key, void* value, void* attn_bias, void* compute_log_sumexp, void* dropout_p, void* is_causal, void* scale);
+  HOST_API void* lantern__scaled_dot_product_efficient_attention_tensor_tensor_tensor_tensor_bool_double_bool_double(void* query, void* key, void* value, void* attn_bias, void* compute_log_sumexp, void* dropout_p, void* is_causal, void* scale) { LANTERN_CHECK_LOADED void* ret = _lantern__scaled_dot_product_efficient_attention_tensor_tensor_tensor_tensor_bool_double_bool_double(query, key, value, attn_bias, compute_log_sumexp, dropout_p, is_causal, scale); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__scaled_dot_product_efficient_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_stdarraybool_bool_double)(void* grad_out_, void* query, void* key, void* value, void* attn_bias, void* out, void* logsumexp, void* philox_seed, void* philox_offset, void* dropout_p, void* grad_input_mask, void* is_causal, void* scale);
+  HOST_API void* lantern__scaled_dot_product_efficient_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_stdarraybool_bool_double(void* grad_out_, void* query, void* key, void* value, void* attn_bias, void* out, void* logsumexp, void* philox_seed, void* philox_offset, void* dropout_p, void* grad_input_mask, void* is_causal, void* scale) { LANTERN_CHECK_LOADED void* ret = _lantern__scaled_dot_product_efficient_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_stdarraybool_bool_double(grad_out_, query, key, value, attn_bias, out, logsumexp, philox_seed, philox_offset, dropout_p, grad_input_mask, is_causal, scale); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__scaled_dot_product_cudnn_attention_tensor_tensor_tensor_tensor_bool_double_bool_bool_double)(void* query, void* key, void* value, void* attn_bias, void* compute_log_sumexp, void* dropout_p, void* is_causal, void* return_debug_mask, void* scale);
+  HOST_API void* lantern__scaled_dot_product_cudnn_attention_tensor_tensor_tensor_tensor_bool_double_bool_bool_double(void* query, void* key, void* value, void* attn_bias, void* compute_log_sumexp, void* dropout_p, void* is_causal, void* return_debug_mask, void* scale) { LANTERN_CHECK_LOADED void* ret = _lantern__scaled_dot_product_cudnn_attention_tensor_tensor_tensor_tensor_bool_double_bool_bool_double(query, key, value, attn_bias, compute_log_sumexp, dropout_p, is_causal, return_debug_mask, scale); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__scaled_dot_product_cudnn_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_double)(void* grad_out, void* query, void* key, void* value, void* out, void* logsumexp, void* philox_seed, void* philox_offset, void* attn_bias, void* cum_seq_q, void* cum_seq_k, void* max_q, void* max_k, void* dropout_p, void* is_causal, void* scale);
+  HOST_API void* lantern__scaled_dot_product_cudnn_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_double(void* grad_out, void* query, void* key, void* value, void* out, void* logsumexp, void* philox_seed, void* philox_offset, void* attn_bias, void* cum_seq_q, void* cum_seq_k, void* max_q, void* max_k, void* dropout_p, void* is_causal, void* scale) { LANTERN_CHECK_LOADED void* ret = _lantern__scaled_dot_product_cudnn_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_double(grad_out, query, key, value, out, logsumexp, philox_seed, philox_offset, attn_bias, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, scale); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__flash_attention_forward_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_bool_double_intt_intt_tensor_tensor)(void* query, void* key, void* value, void* cum_seq_q, void* cum_seq_k, void* max_q, void* max_k, void* dropout_p, void* is_causal, void* return_debug_mask, void* scale, void* window_size_left, void* window_size_right, void* seqused_k, void* alibi_slopes);
+  HOST_API void* lantern__flash_attention_forward_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_bool_double_intt_intt_tensor_tensor(void* query, void* key, void* value, void* cum_seq_q, void* cum_seq_k, void* max_q, void* max_k, void* dropout_p, void* is_causal, void* return_debug_mask, void* scale, void* window_size_left, void* window_size_right, void* seqused_k, void* alibi_slopes) { LANTERN_CHECK_LOADED void* ret = _lantern__flash_attention_forward_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_bool_double_intt_intt_tensor_tensor(query, key, value, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, return_debug_mask, scale, window_size_left, window_size_right, seqused_k, alibi_slopes); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__flash_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_tensor_tensor_double_intt_intt)(void* grad_out, void* query, void* key, void* value, void* out, void* logsumexp, void* cum_seq_q, void* cum_seq_k, void* max_q, void* max_k, void* dropout_p, void* is_causal, void* philox_seed, void* philox_offset, void* scale, void* window_size_left, void* window_size_right);
+  HOST_API void* lantern__flash_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_tensor_tensor_double_intt_intt(void* grad_out, void* query, void* key, void* value, void* out, void* logsumexp, void* cum_seq_q, void* cum_seq_k, void* max_q, void* max_k, void* dropout_p, void* is_causal, void* philox_seed, void* philox_offset, void* scale, void* window_size_left, void* window_size_right) { LANTERN_CHECK_LOADED void* ret = _lantern__flash_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_tensor_tensor_double_intt_intt(grad_out, query, key, value, out, logsumexp, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, philox_seed, philox_offset, scale, window_size_left, window_size_right); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__efficient_attention_forward_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_intt_bool_double_tensor_intt)(void* query, void* key, void* value, void* bias, void* cu_seqlens_q, void* cu_seqlens_k, void* max_seqlen_q, void* max_seqlen_k, void* dropout_p, void* custom_mask_type, void* compute_log_sumexp, void* scale, void* seqlen_k, void* window_size);
+  HOST_API void* lantern__efficient_attention_forward_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_intt_bool_double_tensor_intt(void* query, void* key, void* value, void* bias, void* cu_seqlens_q, void* cu_seqlens_k, void* max_seqlen_q, void* max_seqlen_k, void* dropout_p, void* custom_mask_type, void* compute_log_sumexp, void* scale, void* seqlen_k, void* window_size) { LANTERN_CHECK_LOADED void* ret = _lantern__efficient_attention_forward_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_intt_bool_double_tensor_intt(query, key, value, bias, cu_seqlens_q, cu_seqlens_k, max_seqlen_q, max_seqlen_k, dropout_p, custom_mask_type, compute_log_sumexp, scale, seqlen_k, window_size); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__efficient_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_tensor_double_tensor_tensor_intt_bool_double_intt_intt_bool)(void* grad_out_, void* query, void* key, void* value, void* bias, void* out, void* cu_seqlens_q, void* cu_seqlens_k, void* max_seqlen_q, void* max_seqlen_k, void* logsumexp, void* dropout_p, void* philox_seed, void* philox_offset, void* custom_mask_type, void* bias_requires_grad, void* scale, void* num_splits_key, void* window_size, void* shared_storage_dqdkdv);
+  HOST_API void* lantern__efficient_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_tensor_double_tensor_tensor_intt_bool_double_intt_intt_bool(void* grad_out_, void* query, void* key, void* value, void* bias, void* out, void* cu_seqlens_q, void* cu_seqlens_k, void* max_seqlen_q, void* max_seqlen_k, void* logsumexp, void* dropout_p, void* philox_seed, void* philox_offset, void* custom_mask_type, void* bias_requires_grad, void* scale, void* num_splits_key, void* window_size, void* shared_storage_dqdkdv) { LANTERN_CHECK_LOADED void* ret = _lantern__efficient_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_tensor_double_tensor_tensor_intt_bool_double_intt_intt_bool(grad_out_, query, key, value, bias, out, cu_seqlens_q, cu_seqlens_k, max_seqlen_q, max_seqlen_k, logsumexp, dropout_p, philox_seed, philox_offset, custom_mask_type, bias_requires_grad, scale, num_splits_key, window_size, shared_storage_dqdkdv); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__triton_scaled_dot_attention_tensor_tensor_tensor_double)(void* q, void* k, void* v, void* dropout_p);
   HOST_API void* lantern__triton_scaled_dot_attention_tensor_tensor_tensor_double(void* q, void* k, void* v, void* dropout_p) { LANTERN_CHECK_LOADED void* ret = _lantern__triton_scaled_dot_attention_tensor_tensor_tensor_double(q, k, v, dropout_p); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__fill_mem_eff_dropout_mask__tensor_double_intt_intt)(void* self, void* dropout_p, void* seed, void* offset);
+  HOST_API void* lantern__fill_mem_eff_dropout_mask__tensor_double_intt_intt(void* self, void* dropout_p, void* seed, void* offset) { LANTERN_CHECK_LOADED void* ret = _lantern__fill_mem_eff_dropout_mask__tensor_double_intt_intt(self, dropout_p, seed, offset); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__triton_multi_head_attention_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_tensor)(void* query, void* key, void* value, void* embed_dim, void* num_head, void* qkv_weight, void* qkv_bias, void* proj_weight, void* proj_bias, void* mask);
   HOST_API void* lantern__triton_multi_head_attention_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_tensor(void* query, void* key, void* value, void* embed_dim, void* num_head, void* qkv_weight, void* qkv_bias, void* proj_weight, void* proj_bias, void* mask) { LANTERN_CHECK_LOADED void* ret = _lantern__triton_multi_head_attention_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_tensor(query, key, value, embed_dim, num_head, qkv_weight, qkv_bias, proj_weight, proj_bias, mask); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_special_airy_ai_tensor)(void* x);
   HOST_API void* lantern_special_airy_ai_tensor(void* x) { LANTERN_CHECK_LOADED void* ret = _lantern_special_airy_ai_tensor(x); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_special_airy_ai_out_tensor_tensor)(void* out, void* x);
   HOST_API void* lantern_special_airy_ai_out_tensor_tensor(void* out, void* x) { LANTERN_CHECK_LOADED void* ret = _lantern_special_airy_ai_out_tensor_tensor(out, x); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__transformer_decoder_only_layer_fwd_tensor_intt_intt_tensor_tensor_tensor_tensor_bool_bool_double_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor)(void* src, void* embed_dim, void* num_heads, void* qkv_weight, void* qkv_bias, void* proj_weight, void* proj_bias, void* use_gelu, void* norm_first, void* eps, void* norm_weight_1, void* norm_bias_1, void* norm_weight_2, void* norm_bias_2, void* ffn_weight_1, void* ffn_bias_1, void* ffn_weight_2, void* ffn_bias_2, void* mask, void* incr_key, void* incr_value);
-  HOST_API void* lantern__transformer_decoder_only_layer_fwd_tensor_intt_intt_tensor_tensor_tensor_tensor_bool_bool_double_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor(void* src, void* embed_dim, void* num_heads, void* qkv_weight, void* qkv_bias, void* proj_weight, void* proj_bias, void* use_gelu, void* norm_first, void* eps, void* norm_weight_1, void* norm_bias_1, void* norm_weight_2, void* norm_bias_2, void* ffn_weight_1, void* ffn_bias_1, void* ffn_weight_2, void* ffn_bias_2, void* mask, void* incr_key, void* incr_value) { LANTERN_CHECK_LOADED void* ret = _lantern__transformer_decoder_only_layer_fwd_tensor_intt_intt_tensor_tensor_tensor_tensor_bool_bool_double_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor(src, embed_dim, num_heads, qkv_weight, qkv_bias, proj_weight, proj_bias, use_gelu, norm_first, eps, norm_weight_1, norm_bias_1, norm_weight_2, norm_bias_2, ffn_weight_1, ffn_bias_1, ffn_weight_2, ffn_bias_2, mask, incr_key, incr_value); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__native_decoder_only_multi_head_attention_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_bool)(void* query, void* key, void* value, void* embed_dim, void* num_head, void* qkv_weight, void* qkv_bias, void* proj_weight, void* proj_bias, void* mask, void* incr_key, void* incr_value, void* need_weights, void* average_attn_weights);
-  HOST_API void* lantern__native_decoder_only_multi_head_attention_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_bool(void* query, void* key, void* value, void* embed_dim, void* num_head, void* qkv_weight, void* qkv_bias, void* proj_weight, void* proj_bias, void* mask, void* incr_key, void* incr_value, void* need_weights, void* average_attn_weights) { LANTERN_CHECK_LOADED void* ret = _lantern__native_decoder_only_multi_head_attention_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_bool(query, key, value, embed_dim, num_head, qkv_weight, qkv_bias, proj_weight, proj_bias, mask, incr_key, incr_value, need_weights, average_attn_weights); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_special_bessel_j0_tensor)(void* self);
   HOST_API void* lantern_special_bessel_j0_tensor(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern_special_bessel_j0_tensor(self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_special_bessel_j0_out_tensor_tensor)(void* out, void* self);
@@ -8642,8 +8890,20 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern__foobar_tensor_bool_bool_bool(void* self, void* arg1, void* arg2, void* arg3) { LANTERN_CHECK_LOADED void* ret = _lantern__foobar_tensor_bool_bool_bool(self, arg1, arg2, arg3); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__fused_adam__tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor)(void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf);
   HOST_API void* lantern__fused_adam__tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor(void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf) { LANTERN_CHECK_LOADED void* ret = _lantern__fused_adam__tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor(self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__fused_adam__tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor)(void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf);
+  HOST_API void* lantern__fused_adam__tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor(void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf) { LANTERN_CHECK_LOADED void* ret = _lantern__fused_adam__tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor(self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__fused_adamw__tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor)(void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf);
   HOST_API void* lantern__fused_adamw__tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor(void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf) { LANTERN_CHECK_LOADED void* ret = _lantern__fused_adamw__tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor(self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__fused_adamw__tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor)(void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf);
+  HOST_API void* lantern__fused_adamw__tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor(void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf) { LANTERN_CHECK_LOADED void* ret = _lantern__fused_adamw__tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor(self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__fused_sgd__tensorlist_tensorlist_tensorlist_double_double_double_double_bool_bool_bool_tensor_tensor)(void* self, void* grads, void* momentum_buffer_list, void* weight_decay, void* momentum, void* lr, void* dampening, void* nesterov, void* maximize, void* is_first_step, void* grad_scale, void* found_inf);
+  HOST_API void* lantern__fused_sgd__tensorlist_tensorlist_tensorlist_double_double_double_double_bool_bool_bool_tensor_tensor(void* self, void* grads, void* momentum_buffer_list, void* weight_decay, void* momentum, void* lr, void* dampening, void* nesterov, void* maximize, void* is_first_step, void* grad_scale, void* found_inf) { LANTERN_CHECK_LOADED void* ret = _lantern__fused_sgd__tensorlist_tensorlist_tensorlist_double_double_double_double_bool_bool_bool_tensor_tensor(self, grads, momentum_buffer_list, weight_decay, momentum, lr, dampening, nesterov, maximize, is_first_step, grad_scale, found_inf); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__fused_sgd__tensorlist_tensorlist_tensorlist_double_double_tensor_double_bool_bool_bool_tensor_tensor)(void* self, void* grads, void* momentum_buffer_list, void* weight_decay, void* momentum, void* lr, void* dampening, void* nesterov, void* maximize, void* is_first_step, void* grad_scale, void* found_inf);
+  HOST_API void* lantern__fused_sgd__tensorlist_tensorlist_tensorlist_double_double_tensor_double_bool_bool_bool_tensor_tensor(void* self, void* grads, void* momentum_buffer_list, void* weight_decay, void* momentum, void* lr, void* dampening, void* nesterov, void* maximize, void* is_first_step, void* grad_scale, void* found_inf) { LANTERN_CHECK_LOADED void* ret = _lantern__fused_sgd__tensorlist_tensorlist_tensorlist_double_double_tensor_double_bool_bool_bool_tensor_tensor(self, grads, momentum_buffer_list, weight_decay, momentum, lr, dampening, nesterov, maximize, is_first_step, grad_scale, found_inf); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__fused_adagrad__tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_tensor_tensor)(void* self, void* grads, void* state_sums, void* state_steps, void* lr, void* lr_decay, void* weight_decay, void* eps, void* maximize, void* grad_scale, void* found_inf);
+  HOST_API void* lantern__fused_adagrad__tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_tensor_tensor(void* self, void* grads, void* state_sums, void* state_steps, void* lr, void* lr_decay, void* weight_decay, void* eps, void* maximize, void* grad_scale, void* found_inf) { LANTERN_CHECK_LOADED void* ret = _lantern__fused_adagrad__tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_tensor_tensor(self, grads, state_sums, state_steps, lr, lr_decay, weight_decay, eps, maximize, grad_scale, found_inf); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__propagate_xla_data_tensor_tensor)(void* input, void* output);
+  HOST_API void* lantern__propagate_xla_data_tensor_tensor(void* input, void* output) { LANTERN_CHECK_LOADED void* ret = _lantern__propagate_xla_data_tensor_tensor(input, output); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__new_zeros_with_same_feature_meta_out_tensor_tensor_tensor_intt)(void* out, void* self, void* other, void* self_num_batch_dims);
   HOST_API void* lantern__new_zeros_with_same_feature_meta_out_tensor_tensor_tensor_intt(void* out, void* self, void* other, void* self_num_batch_dims) { LANTERN_CHECK_LOADED void* ret = _lantern__new_zeros_with_same_feature_meta_out_tensor_tensor_tensor_intt(out, self, other, self_num_batch_dims); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__cudnn_ctc_loss_out_tensor_tensor_tensor_tensor_intarrayref_intarrayref_intt_bool_bool)(void* out0, void* out1, void* log_probs, void* targets, void* input_lengths, void* target_lengths, void* blank, void* deterministic, void* zero_infinity);
@@ -8672,6 +8932,8 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_add_out_tensor_tensor_scalar_scalar(void* out, void* self, void* other, void* alpha) { LANTERN_CHECK_LOADED void* ret = _lantern_add_out_tensor_tensor_scalar_scalar(out, self, other, alpha); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_affine_grid_generator_out_tensor_tensor_intarrayref_bool)(void* out, void* theta, void* size, void* align_corners);
   HOST_API void* lantern_affine_grid_generator_out_tensor_tensor_intarrayref_bool(void* out, void* theta, void* size, void* align_corners) { LANTERN_CHECK_LOADED void* ret = _lantern_affine_grid_generator_out_tensor_tensor_intarrayref_bool(out, theta, size, align_corners); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__test_functorch_fallback_out_tensor_tensor_tensor)(void* out, void* self, void* other);
+  HOST_API void* lantern__test_functorch_fallback_out_tensor_tensor_tensor(void* out, void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__test_functorch_fallback_out_tensor_tensor_tensor(out, self, other); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_bartlett_window_out_tensor_intt)(void* out, void* window_length);
   HOST_API void* lantern_bartlett_window_out_tensor_intt(void* out, void* window_length) { LANTERN_CHECK_LOADED void* ret = _lantern_bartlett_window_out_tensor_intt(out, window_length); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_bartlett_window_out_tensor_intt_bool)(void* out, void* window_length, void* periodic);
@@ -8726,8 +8988,6 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_cudnn_batch_norm_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_double_double(void* out0, void* out1, void* out2, void* out3, void* input, void* weight, void* bias, void* running_mean, void* running_var, void* training, void* exponential_average_factor, void* epsilon) { LANTERN_CHECK_LOADED void* ret = _lantern_cudnn_batch_norm_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_double_double(out0, out1, out2, out3, input, weight, bias, running_mean, running_var, training, exponential_average_factor, epsilon); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_cudnn_batch_norm_backward_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_tensor)(void* out0, void* out1, void* out2, void* input, void* grad_output, void* weight, void* running_mean, void* running_var, void* save_mean, void* save_var, void* epsilon, void* reserveSpace);
   HOST_API void* lantern_cudnn_batch_norm_backward_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_tensor(void* out0, void* out1, void* out2, void* input, void* grad_output, void* weight, void* running_mean, void* running_var, void* save_mean, void* save_var, void* epsilon, void* reserveSpace) { LANTERN_CHECK_LOADED void* ret = _lantern_cudnn_batch_norm_backward_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_tensor(out0, out1, out2, input, grad_output, weight, running_mean, running_var, save_mean, save_var, epsilon, reserveSpace); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_cudnn_convolution_out_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intt_bool_bool_bool)(void* out, void* self, void* weight, void* padding, void* stride, void* dilation, void* groups, void* benchmark, void* deterministic, void* allow_tf32);
-  HOST_API void* lantern_cudnn_convolution_out_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intt_bool_bool_bool(void* out, void* self, void* weight, void* padding, void* stride, void* dilation, void* groups, void* benchmark, void* deterministic, void* allow_tf32) { LANTERN_CHECK_LOADED void* ret = _lantern_cudnn_convolution_out_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intt_bool_bool_bool(out, self, weight, padding, stride, dilation, groups, benchmark, deterministic, allow_tf32); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_cudnn_convolution_transpose_out_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt_bool_bool_bool)(void* out, void* self, void* weight, void* padding, void* output_padding, void* stride, void* dilation, void* groups, void* benchmark, void* deterministic, void* allow_tf32);
   HOST_API void* lantern_cudnn_convolution_transpose_out_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt_bool_bool_bool(void* out, void* self, void* weight, void* padding, void* output_padding, void* stride, void* dilation, void* groups, void* benchmark, void* deterministic, void* allow_tf32) { LANTERN_CHECK_LOADED void* ret = _lantern_cudnn_convolution_transpose_out_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt_bool_bool_bool(out, self, weight, padding, output_padding, stride, dilation, groups, benchmark, deterministic, allow_tf32); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__mps_convolution_transpose_out_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt)(void* out, void* self, void* weight, void* padding, void* output_padding, void* stride, void* dilation, void* groups);
@@ -8774,6 +9034,8 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern__embedding_bag_per_sample_weights_backward_out_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt(void* out, void* grad, void* weight, void* indices, void* offsets, void* offset2bag, void* mode, void* padding_idx) { LANTERN_CHECK_LOADED void* ret = _lantern__embedding_bag_per_sample_weights_backward_out_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt(out, grad, weight, indices, offsets, offset2bag, mode, padding_idx); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_empty_out_tensor_intarrayref_dimnamelist_memoryformat)(void* out, void* size, void* names, void* memory_format);
   HOST_API void* lantern_empty_out_tensor_intarrayref_dimnamelist_memoryformat(void* out, void* size, void* names, void* memory_format) { LANTERN_CHECK_LOADED void* ret = _lantern_empty_out_tensor_intarrayref_dimnamelist_memoryformat(out, size, names, memory_format); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_empty_permuted_out_tensor_intarrayref_intarrayref)(void* out, void* size, void* physical_layout);
+  HOST_API void* lantern_empty_permuted_out_tensor_intarrayref_intarrayref(void* out, void* size, void* physical_layout) { LANTERN_CHECK_LOADED void* ret = _lantern_empty_permuted_out_tensor_intarrayref_intarrayref(out, size, physical_layout); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_new_empty_out_tensor_tensor_intarrayref)(void* out, void* self, void* size);
   HOST_API void* lantern_new_empty_out_tensor_tensor_intarrayref(void* out, void* self, void* size) { LANTERN_CHECK_LOADED void* ret = _lantern_new_empty_out_tensor_tensor_intarrayref(out, self, size); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_new_empty_strided_out_tensor_tensor_intarrayref_intarrayref)(void* out, void* self, void* size, void* stride);
@@ -8806,6 +9068,8 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_fill_out_tensor_tensor_scalar(void* out, void* self, void* value) { LANTERN_CHECK_LOADED void* ret = _lantern_fill_out_tensor_tensor_scalar(out, self, value); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_fill_out_tensor_tensor_tensor)(void* out, void* self, void* value);
   HOST_API void* lantern_fill_out_tensor_tensor_tensor(void* out, void* self, void* value) { LANTERN_CHECK_LOADED void* ret = _lantern_fill_out_tensor_tensor_tensor(out, self, value); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_floor_divide_out_tensor_tensor_scalar)(void* out, void* self, void* other);
+  HOST_API void* lantern_floor_divide_out_tensor_tensor_scalar(void* out, void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern_floor_divide_out_tensor_tensor_scalar(out, self, other); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_full_out_tensor_intarrayref_scalar_dimnamelist)(void* out, void* size, void* fill_value, void* names);
   HOST_API void* lantern_full_out_tensor_intarrayref_scalar_dimnamelist(void* out, void* size, void* fill_value, void* names) { LANTERN_CHECK_LOADED void* ret = _lantern_full_out_tensor_intarrayref_scalar_dimnamelist(out, size, fill_value, names); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_full_like_out_tensor_tensor_scalar_memoryformat)(void* out, void* self, void* fill_value, void* memory_format);
@@ -8844,12 +9108,12 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_native_group_norm_out_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_intt_intt_double(void* out0, void* out1, void* out2, void* input, void* weight, void* bias, void* N, void* C, void* HxW, void* group, void* eps) { LANTERN_CHECK_LOADED void* ret = _lantern_native_group_norm_out_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_intt_intt_double(out0, out1, out2, input, weight, bias, N, C, HxW, group, eps); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_native_group_norm_backward_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_intt_intt_stdarraybool)(void* out0, void* out1, void* out2, void* grad_out, void* input, void* mean, void* rstd, void* weight, void* N, void* C, void* HxW, void* group, void* output_mask);
   HOST_API void* lantern_native_group_norm_backward_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_intt_intt_stdarraybool(void* out0, void* out1, void* out2, void* grad_out, void* input, void* mean, void* rstd, void* weight, void* N, void* C, void* HxW, void* group, void* output_mask) { LANTERN_CHECK_LOADED void* ret = _lantern_native_group_norm_backward_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_intt_intt_stdarraybool(out0, out1, out2, grad_out, input, mean, rstd, weight, N, C, HxW, group, output_mask); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_index_put_out_tensor_tensor_constclistcoptionaltensor_tensor_bool)(void* out, void* self, void* indices, void* values, void* accumulate);
-  HOST_API void* lantern_index_put_out_tensor_tensor_constclistcoptionaltensor_tensor_bool(void* out, void* self, void* indices, void* values, void* accumulate) { LANTERN_CHECK_LOADED void* ret = _lantern_index_put_out_tensor_tensor_constclistcoptionaltensor_tensor_bool(out, self, indices, values, accumulate); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__index_put_impl_out_tensor_tensor_constclistcoptionaltensor_tensor_bool_bool)(void* out, void* self, void* indices, void* values, void* accumulate, void* unsafe);
-  HOST_API void* lantern__index_put_impl_out_tensor_tensor_constclistcoptionaltensor_tensor_bool_bool(void* out, void* self, void* indices, void* values, void* accumulate, void* unsafe) { LANTERN_CHECK_LOADED void* ret = _lantern__index_put_impl_out_tensor_tensor_constclistcoptionaltensor_tensor_bool_bool(out, self, indices, values, accumulate, unsafe); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__index_put_impl_tensor_constclistcoptionaltensor_tensor_bool_bool)(void* self, void* indices, void* values, void* accumulate, void* unsafe);
-  HOST_API void* lantern__index_put_impl_tensor_constclistcoptionaltensor_tensor_bool_bool(void* self, void* indices, void* values, void* accumulate, void* unsafe) { LANTERN_CHECK_LOADED void* ret = _lantern__index_put_impl_tensor_constclistcoptionaltensor_tensor_bool_bool(self, indices, values, accumulate, unsafe); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_index_put_out_tensor_tensor_constcliststdoptionaltensor_tensor_bool)(void* out, void* self, void* indices, void* values, void* accumulate);
+  HOST_API void* lantern_index_put_out_tensor_tensor_constcliststdoptionaltensor_tensor_bool(void* out, void* self, void* indices, void* values, void* accumulate) { LANTERN_CHECK_LOADED void* ret = _lantern_index_put_out_tensor_tensor_constcliststdoptionaltensor_tensor_bool(out, self, indices, values, accumulate); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__index_put_impl_out_tensor_tensor_constcliststdoptionaltensor_tensor_bool_bool)(void* out, void* self, void* indices, void* values, void* accumulate, void* unsafe);
+  HOST_API void* lantern__index_put_impl_out_tensor_tensor_constcliststdoptionaltensor_tensor_bool_bool(void* out, void* self, void* indices, void* values, void* accumulate, void* unsafe) { LANTERN_CHECK_LOADED void* ret = _lantern__index_put_impl_out_tensor_tensor_constcliststdoptionaltensor_tensor_bool_bool(out, self, indices, values, accumulate, unsafe); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__index_put_impl_tensor_constcliststdoptionaltensor_tensor_bool_bool)(void* self, void* indices, void* values, void* accumulate, void* unsafe);
+  HOST_API void* lantern__index_put_impl_tensor_constcliststdoptionaltensor_tensor_bool_bool(void* self, void* indices, void* values, void* accumulate, void* unsafe) { LANTERN_CHECK_LOADED void* ret = _lantern__index_put_impl_tensor_constcliststdoptionaltensor_tensor_bool_bool(self, indices, values, accumulate, unsafe); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_isnan_out_tensor_tensor)(void* out, void* self);
   HOST_API void* lantern_isnan_out_tensor_tensor(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern_isnan_out_tensor_tensor(out, self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_native_layer_norm_out_tensor_tensor_tensor_tensor_intarrayref_tensor_tensor_double)(void* out0, void* out1, void* out2, void* input, void* normalized_shape, void* weight, void* bias, void* eps);
@@ -8886,6 +9150,8 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_quantized_max_pool1d_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool(void* out, void* self, void* kernel_size, void* stride, void* padding, void* dilation, void* ceil_mode) { LANTERN_CHECK_LOADED void* ret = _lantern_quantized_max_pool1d_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool(out, self, kernel_size, stride, padding, dilation, ceil_mode); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_quantized_max_pool2d_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool)(void* out, void* self, void* kernel_size, void* stride, void* padding, void* dilation, void* ceil_mode);
   HOST_API void* lantern_quantized_max_pool2d_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool(void* out, void* self, void* kernel_size, void* stride, void* padding, void* dilation, void* ceil_mode) { LANTERN_CHECK_LOADED void* ret = _lantern_quantized_max_pool2d_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool(out, self, kernel_size, stride, padding, dilation, ceil_mode); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_quantized_max_pool3d_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool)(void* out, void* self, void* kernel_size, void* stride, void* padding, void* dilation, void* ceil_mode);
+  HOST_API void* lantern_quantized_max_pool3d_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool(void* out, void* self, void* kernel_size, void* stride, void* padding, void* dilation, void* ceil_mode) { LANTERN_CHECK_LOADED void* ret = _lantern_quantized_max_pool3d_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool(out, self, kernel_size, stride, padding, dilation, ceil_mode); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_median_out_tensor_tensor)(void* out, void* self);
   HOST_API void* lantern_median_out_tensor_tensor(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern_median_out_tensor_tensor(out, self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_nanmedian_out_tensor_tensor)(void* out, void* self);
@@ -8920,6 +9186,8 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_mul_out_tensor_tensor_scalar(void* out, void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern_mul_out_tensor_tensor_scalar(out, self, other); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__native_batch_norm_legit_functional_tensor_tensor_tensor_tensor_tensor_bool_double_double)(void* input, void* weight, void* bias, void* running_mean, void* running_var, void* training, void* momentum, void* eps);
   HOST_API void* lantern__native_batch_norm_legit_functional_tensor_tensor_tensor_tensor_tensor_bool_double_double(void* input, void* weight, void* bias, void* running_mean, void* running_var, void* training, void* momentum, void* eps) { LANTERN_CHECK_LOADED void* ret = _lantern__native_batch_norm_legit_functional_tensor_tensor_tensor_tensor_tensor_bool_double_double(input, weight, bias, running_mean, running_var, training, momentum, eps); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__native_batch_norm_legit_no_training_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_double)(void* out0, void* out1, void* out2, void* input, void* weight, void* bias, void* running_mean, void* running_var, void* momentum, void* eps);
+  HOST_API void* lantern__native_batch_norm_legit_no_training_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_double(void* out0, void* out1, void* out2, void* input, void* weight, void* bias, void* running_mean, void* running_var, void* momentum, void* eps) { LANTERN_CHECK_LOADED void* ret = _lantern__native_batch_norm_legit_no_training_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_double(out0, out1, out2, input, weight, bias, running_mean, running_var, momentum, eps); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_batch_norm_stats_out_tensor_tensor_tensor_double)(void* out0, void* out1, void* input, void* eps);
   HOST_API void* lantern_batch_norm_stats_out_tensor_tensor_tensor_double(void* out0, void* out1, void* input, void* eps) { LANTERN_CHECK_LOADED void* ret = _lantern_batch_norm_stats_out_tensor_tensor_tensor_double(out0, out1, input, eps); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_batch_norm_gather_stats_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_double_intt)(void* out0, void* out1, void* input, void* mean, void* invstd, void* running_mean, void* running_var, void* momentum, void* eps, void* count);
@@ -8930,8 +9198,8 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_native_batch_norm_backward_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_double_stdarraybool(void* out0, void* out1, void* out2, void* grad_out, void* input, void* weight, void* running_mean, void* running_var, void* save_mean, void* save_invstd, void* train, void* eps, void* output_mask) { LANTERN_CHECK_LOADED void* ret = _lantern_native_batch_norm_backward_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_double_stdarraybool(out0, out1, out2, grad_out, input, weight, running_mean, running_var, save_mean, save_invstd, train, eps, output_mask); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_batch_norm_backward_reduce_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_bool_bool)(void* out0, void* out1, void* out2, void* out3, void* grad_out, void* input, void* mean, void* invstd, void* weight, void* input_g, void* weight_g, void* bias_g);
   HOST_API void* lantern_batch_norm_backward_reduce_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_bool_bool(void* out0, void* out1, void* out2, void* out3, void* grad_out, void* input, void* mean, void* invstd, void* weight, void* input_g, void* weight_g, void* bias_g) { LANTERN_CHECK_LOADED void* ret = _lantern_batch_norm_backward_reduce_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_bool_bool(out0, out1, out2, out3, grad_out, input, mean, invstd, weight, input_g, weight_g, bias_g); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_batch_norm_backward_elemt_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor)(void* out, void* grad_out, void* input, void* mean, void* invstd, void* weight, void* mean_dy, void* mean_dy_xmu, void* count);
-  HOST_API void* lantern_batch_norm_backward_elemt_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor(void* out, void* grad_out, void* input, void* mean, void* invstd, void* weight, void* mean_dy, void* mean_dy_xmu, void* count) { LANTERN_CHECK_LOADED void* ret = _lantern_batch_norm_backward_elemt_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor(out, grad_out, input, mean, invstd, weight, mean_dy, mean_dy_xmu, count); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_batch_norm_backward_elemt_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor)(void* out, void* grad_out, void* input, void* mean, void* invstd, void* weight, void* sum_dy, void* sum_dy_xmu, void* count);
+  HOST_API void* lantern_batch_norm_backward_elemt_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor(void* out, void* grad_out, void* input, void* mean, void* invstd, void* weight, void* sum_dy, void* sum_dy_xmu, void* count) { LANTERN_CHECK_LOADED void* ret = _lantern_batch_norm_backward_elemt_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor(out, grad_out, input, mean, invstd, weight, sum_dy, sum_dy_xmu, count); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_batch_norm_update_stats_out_tensor_tensor_tensor_tensor_tensor_double)(void* out0, void* out1, void* input, void* running_mean, void* running_var, void* momentum);
   HOST_API void* lantern_batch_norm_update_stats_out_tensor_tensor_tensor_tensor_tensor_double(void* out0, void* out1, void* input, void* running_mean, void* running_var, void* momentum) { LANTERN_CHECK_LOADED void* ret = _lantern_batch_norm_update_stats_out_tensor_tensor_tensor_tensor_tensor_double(out0, out1, input, running_mean, running_var, momentum); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__nnpack_spatial_convolution_out_tensor_tensor_tensor_tensor_intarrayref_intarrayref)(void* out, void* input, void* weight, void* bias, void* padding, void* stride);
@@ -9004,8 +9272,8 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_unsafe_split_with_sizes_out_tensorlist_tensor_intarrayref_intt(void* out, void* self, void* split_sizes, void* dim) { LANTERN_CHECK_LOADED void* ret = _lantern_unsafe_split_with_sizes_out_tensorlist_tensor_intarrayref_intt(out, self, split_sizes, dim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_sum_out_tensor_tensor_scalartype)(void* out, void* self, void* dtype);
   HOST_API void* lantern_sum_out_tensor_tensor_scalartype(void* out, void* self, void* dtype) { LANTERN_CHECK_LOADED void* ret = _lantern_sum_out_tensor_tensor_scalartype(out, self, dtype); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_std_mean_out_tensor_tensor_tensor_intarrayref_intt_bool)(void* out0, void* out1, void* self, void* dim, void* correction, void* keepdim);
-  HOST_API void* lantern_std_mean_out_tensor_tensor_tensor_intarrayref_intt_bool(void* out0, void* out1, void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_std_mean_out_tensor_tensor_tensor_intarrayref_intt_bool(out0, out1, self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_std_mean_out_tensor_tensor_tensor_intarrayref_scalar_bool)(void* out0, void* out1, void* self, void* dim, void* correction, void* keepdim);
+  HOST_API void* lantern_std_mean_out_tensor_tensor_tensor_intarrayref_scalar_bool(void* out0, void* out1, void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_std_mean_out_tensor_tensor_tensor_intarrayref_scalar_bool(out0, out1, self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_prod_out_tensor_tensor_scalartype)(void* out, void* self, void* dtype);
   HOST_API void* lantern_prod_out_tensor_tensor_scalartype(void* out, void* self, void* dtype) { LANTERN_CHECK_LOADED void* ret = _lantern_prod_out_tensor_tensor_scalartype(out, self, dtype); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__mkldnn_transpose_out_tensor_tensor_intt_intt)(void* out, void* self, void* dim0, void* dim1);
@@ -9026,10 +9294,16 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern__nested_tensor_size_out_tensor_tensor(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_tensor_size_out_tensor_tensor(out, self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__nested_tensor_strides_out_tensor_tensor)(void* out, void* self);
   HOST_API void* lantern__nested_tensor_strides_out_tensor_tensor(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_tensor_strides_out_tensor_tensor(out, self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__nested_tensor_storage_offsets_out_tensor_tensor)(void* out, void* self);
+  HOST_API void* lantern__nested_tensor_storage_offsets_out_tensor_tensor(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_tensor_storage_offsets_out_tensor_tensor(out, self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__nested_from_padded_and_nested_example_out_tensor_tensor_tensor)(void* out, void* padded, void* nt_example);
   HOST_API void* lantern__nested_from_padded_and_nested_example_out_tensor_tensor_tensor(void* out, void* padded, void* nt_example) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_from_padded_and_nested_example_out_tensor_tensor_tensor(out, padded, nt_example); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__nested_view_from_buffer_copy_out_tensor_tensor_tensor_tensor_intarrayref)(void* out, void* self, void* nested_size, void* nested_strides, void* offsets);
-  HOST_API void* lantern__nested_view_from_buffer_copy_out_tensor_tensor_tensor_tensor_intarrayref(void* out, void* self, void* nested_size, void* nested_strides, void* offsets) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_view_from_buffer_copy_out_tensor_tensor_tensor_tensor_intarrayref(out, self, nested_size, nested_strides, offsets); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__nested_view_from_buffer_copy_out_tensor_tensor_tensor_tensor_tensor)(void* out, void* self, void* nested_size, void* nested_strides, void* offsets);
+  HOST_API void* lantern__nested_view_from_buffer_copy_out_tensor_tensor_tensor_tensor_tensor(void* out, void* self, void* nested_size, void* nested_strides, void* offsets) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_view_from_buffer_copy_out_tensor_tensor_tensor_tensor_tensor(out, self, nested_size, nested_strides, offsets); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__nested_view_from_jagged_copy_out_tensor_tensor_tensor_tensor_tensor_intt_tensor_tensor)(void* out, void* self, void* offsets, void* dummy, void* lengths, void* ragged_idx, void* min_seqlen, void* max_seqlen);
+  HOST_API void* lantern__nested_view_from_jagged_copy_out_tensor_tensor_tensor_tensor_tensor_intt_tensor_tensor(void* out, void* self, void* offsets, void* dummy, void* lengths, void* ragged_idx, void* min_seqlen, void* max_seqlen) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_view_from_jagged_copy_out_tensor_tensor_tensor_tensor_tensor_intt_tensor_tensor(out, self, offsets, dummy, lengths, ragged_idx, min_seqlen, max_seqlen); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__nested_get_values_copy_out_tensor_tensor)(void* out, void* self);
+  HOST_API void* lantern__nested_get_values_copy_out_tensor_tensor(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__nested_get_values_copy_out_tensor_tensor(out, self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__trilinear_out_tensor_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt)(void* out, void* i1, void* i2, void* i3, void* expand1, void* expand2, void* expand3, void* sumdim, void* unroll_dim);
   HOST_API void* lantern__trilinear_out_tensor_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt(void* out, void* i1, void* i2, void* i3, void* expand1, void* expand2, void* expand3, void* sumdim, void* unroll_dim) { LANTERN_CHECK_LOADED void* ret = _lantern__trilinear_out_tensor_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt(out, i1, i2, i3, expand1, expand2, expand3, sumdim, unroll_dim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__unique_out_tensor_tensor_tensor_bool_bool)(void* out0, void* out1, void* self, void* sorted, void* return_inverse);
@@ -9044,8 +9318,8 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern__unique2_out_tensor_tensor_tensor_tensor_bool_bool_bool(void* out0, void* out1, void* out2, void* self, void* sorted, void* return_inverse, void* return_counts) { LANTERN_CHECK_LOADED void* ret = _lantern__unique2_out_tensor_tensor_tensor_tensor_bool_bool_bool(out0, out1, out2, self, sorted, return_inverse, return_counts); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__unsafe_view_out_tensor_tensor_intarrayref)(void* out, void* self, void* size);
   HOST_API void* lantern__unsafe_view_out_tensor_tensor_intarrayref(void* out, void* self, void* size) { LANTERN_CHECK_LOADED void* ret = _lantern__unsafe_view_out_tensor_tensor_intarrayref(out, self, size); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_var_mean_out_tensor_tensor_tensor_intarrayref_intt_bool)(void* out0, void* out1, void* self, void* dim, void* correction, void* keepdim);
-  HOST_API void* lantern_var_mean_out_tensor_tensor_tensor_intarrayref_intt_bool(void* out0, void* out1, void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_var_mean_out_tensor_tensor_tensor_intarrayref_intt_bool(out0, out1, self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_var_mean_out_tensor_tensor_tensor_intarrayref_scalar_bool)(void* out0, void* out1, void* self, void* dim, void* correction, void* keepdim);
+  HOST_API void* lantern_var_mean_out_tensor_tensor_tensor_intarrayref_scalar_bool(void* out0, void* out1, void* self, void* dim, void* correction, void* keepdim) { LANTERN_CHECK_LOADED void* ret = _lantern_var_mean_out_tensor_tensor_tensor_intarrayref_scalar_bool(out0, out1, self, dim, correction, keepdim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__weight_norm_interface_out_tensor_tensor_tensor_tensor_intt)(void* out0, void* out1, void* v, void* g, void* dim);
   HOST_API void* lantern__weight_norm_interface_out_tensor_tensor_tensor_tensor_intt(void* out0, void* out1, void* v, void* g, void* dim) { LANTERN_CHECK_LOADED void* ret = _lantern__weight_norm_interface_out_tensor_tensor_tensor_tensor_intt(out0, out1, v, g, dim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__weight_norm_interface_backward_out_tensor_tensor_tensor_tensor_tensor_tensor_intt)(void* out0, void* out1, void* grad_w, void* saved_v, void* saved_g, void* saved_norms, void* dim);
@@ -9072,6 +9346,10 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_native_norm_out_tensor_tensor_scalar(void* out, void* self, void* p) { LANTERN_CHECK_LOADED void* ret = _lantern_native_norm_out_tensor_tensor_scalar(out, self, p); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_native_norm_out_tensor_tensor_scalar_intarrayref_bool_scalartype)(void* out, void* self, void* p, void* dim, void* keepdim, void* dtype);
   HOST_API void* lantern_native_norm_out_tensor_tensor_scalar_intarrayref_bool_scalartype(void* out, void* self, void* p, void* dim, void* keepdim, void* dtype) { LANTERN_CHECK_LOADED void* ret = _lantern_native_norm_out_tensor_tensor_scalar_intarrayref_bool_scalartype(out, self, p, dim, keepdim, dtype); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__batch_norm_with_update_functional_tensor_tensor_tensor_tensor_tensor_double_double)(void* input, void* weight, void* bias, void* running_mean, void* running_var, void* momentum, void* eps);
+  HOST_API void* lantern__batch_norm_with_update_functional_tensor_tensor_tensor_tensor_tensor_double_double(void* input, void* weight, void* bias, void* running_mean, void* running_var, void* momentum, void* eps) { LANTERN_CHECK_LOADED void* ret = _lantern__batch_norm_with_update_functional_tensor_tensor_tensor_tensor_tensor_double_double(input, weight, bias, running_mean, running_var, momentum, eps); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__batch_norm_no_update_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_double)(void* out0, void* out1, void* out2, void* out3, void* input, void* weight, void* bias, void* running_mean, void* running_var, void* momentum, void* eps);
+  HOST_API void* lantern__batch_norm_no_update_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_double(void* out0, void* out1, void* out2, void* out3, void* input, void* weight, void* bias, void* running_mean, void* running_var, void* momentum, void* eps) { LANTERN_CHECK_LOADED void* ret = _lantern__batch_norm_no_update_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_double(out0, out1, out2, out3, input, weight, bias, running_mean, running_var, momentum, eps); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__sparse_sum_out_tensor_tensor_intarrayref)(void* out, void* self, void* dim);
   HOST_API void* lantern__sparse_sum_out_tensor_tensor_intarrayref(void* out, void* self, void* dim) { LANTERN_CHECK_LOADED void* ret = _lantern__sparse_sum_out_tensor_tensor_intarrayref(out, self, dim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__sparse_sum_backward_out_tensor_tensor_tensor_intarrayref)(void* out, void* grad, void* self, void* dim);
@@ -9120,8 +9398,8 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_sparse_coo_tensor_out_tensor_intarrayref(void* out, void* size) { LANTERN_CHECK_LOADED void* ret = _lantern_sparse_coo_tensor_out_tensor_intarrayref(out, size); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__sparse_coo_tensor_with_dims_out_tensor_intt_intt_intarrayref)(void* out, void* sparse_dim, void* dense_dim, void* size);
   HOST_API void* lantern__sparse_coo_tensor_with_dims_out_tensor_intt_intt_intarrayref(void* out, void* sparse_dim, void* dense_dim, void* size) { LANTERN_CHECK_LOADED void* ret = _lantern__sparse_coo_tensor_with_dims_out_tensor_intt_intt_intarrayref(out, sparse_dim, dense_dim, size); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__sparse_coo_tensor_with_dims_and_tensors_out_tensor_intt_intt_intarrayref_tensor_tensor)(void* out, void* sparse_dim, void* dense_dim, void* size, void* indices, void* values);
-  HOST_API void* lantern__sparse_coo_tensor_with_dims_and_tensors_out_tensor_intt_intt_intarrayref_tensor_tensor(void* out, void* sparse_dim, void* dense_dim, void* size, void* indices, void* values) { LANTERN_CHECK_LOADED void* ret = _lantern__sparse_coo_tensor_with_dims_and_tensors_out_tensor_intt_intt_intarrayref_tensor_tensor(out, sparse_dim, dense_dim, size, indices, values); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__sparse_coo_tensor_with_dims_and_tensors_out_tensor_intt_intt_intarrayref_tensor_tensor_bool)(void* out, void* sparse_dim, void* dense_dim, void* size, void* indices, void* values, void* is_coalesced);
+  HOST_API void* lantern__sparse_coo_tensor_with_dims_and_tensors_out_tensor_intt_intt_intarrayref_tensor_tensor_bool(void* out, void* sparse_dim, void* dense_dim, void* size, void* indices, void* values, void* is_coalesced) { LANTERN_CHECK_LOADED void* ret = _lantern__sparse_coo_tensor_with_dims_and_tensors_out_tensor_intt_intt_intarrayref_tensor_tensor_bool(out, sparse_dim, dense_dim, size, indices, values, is_coalesced); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_sparse_resize_out_tensor_tensor_intarrayref_intt_intt)(void* out, void* self, void* size, void* sparse_dim, void* dense_dim);
   HOST_API void* lantern_sparse_resize_out_tensor_tensor_intarrayref_intt_intt(void* out, void* self, void* size, void* sparse_dim, void* dense_dim) { LANTERN_CHECK_LOADED void* ret = _lantern_sparse_resize_out_tensor_tensor_intarrayref_intt_intt(out, self, size, sparse_dim, dense_dim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_sparse_resize_tensor_intarrayref_intt_intt)(void* self, void* size, void* sparse_dim, void* dense_dim);
@@ -9132,8 +9410,10 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_sparse_resize_and_clear_tensor_intarrayref_intt_intt(void* self, void* size, void* sparse_dim, void* dense_dim) { LANTERN_CHECK_LOADED void* ret = _lantern_sparse_resize_and_clear_tensor_intarrayref_intt_intt(self, size, sparse_dim, dense_dim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_sparse_mask_out_tensor_tensor_tensor)(void* out, void* self, void* mask);
   HOST_API void* lantern_sparse_mask_out_tensor_tensor_tensor(void* out, void* self, void* mask) { LANTERN_CHECK_LOADED void* ret = _lantern_sparse_mask_out_tensor_tensor_tensor(out, self, mask); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__to_dense_out_tensor_tensor_scalartype)(void* out, void* self, void* dtype);
-  HOST_API void* lantern__to_dense_out_tensor_tensor_scalartype(void* out, void* self, void* dtype) { LANTERN_CHECK_LOADED void* ret = _lantern__to_dense_out_tensor_tensor_scalartype(out, self, dtype); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__sparse_mask_projection_out_tensor_tensor_tensor_bool)(void* out, void* self, void* mask, void* accumulate_matches);
+  HOST_API void* lantern__sparse_mask_projection_out_tensor_tensor_tensor_bool(void* out, void* self, void* mask, void* accumulate_matches) { LANTERN_CHECK_LOADED void* ret = _lantern__sparse_mask_projection_out_tensor_tensor_tensor_bool(out, self, mask, accumulate_matches); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__to_dense_out_tensor_tensor_scalartype_bool)(void* out, void* self, void* dtype, void* masked_grad);
+  HOST_API void* lantern__to_dense_out_tensor_tensor_scalartype_bool(void* out, void* self, void* dtype, void* masked_grad) { LANTERN_CHECK_LOADED void* ret = _lantern__to_dense_out_tensor_tensor_scalartype_bool(out, self, dtype, masked_grad); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__coalesce_out_tensor_tensor)(void* out, void* self);
   HOST_API void* lantern__coalesce_out_tensor_tensor(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__coalesce_out_tensor_tensor(out, self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__coalesced_out_tensor_tensor_bool)(void* out, void* self, void* coalesced);
@@ -9144,24 +9424,24 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern_copy_sparse_to_sparse_out_tensor_tensor_tensor_bool(void* out, void* self, void* src, void* non_blocking) { LANTERN_CHECK_LOADED void* ret = _lantern_copy_sparse_to_sparse_out_tensor_tensor_tensor_bool(out, self, src, non_blocking); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_copy_sparse_to_sparse_tensor_tensor_bool)(void* self, void* src, void* non_blocking);
   HOST_API void* lantern_copy_sparse_to_sparse_tensor_tensor_bool(void* self, void* src, void* non_blocking) { LANTERN_CHECK_LOADED void* ret = _lantern_copy_sparse_to_sparse_tensor_tensor_bool(self, src, non_blocking); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_to_sparse_out_tensor_tensor_intt)(void* out, void* self, void* sparse_dim);
-  HOST_API void* lantern_to_sparse_out_tensor_tensor_intt(void* out, void* self, void* sparse_dim) { LANTERN_CHECK_LOADED void* ret = _lantern_to_sparse_out_tensor_tensor_intt(out, self, sparse_dim); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_to_sparse_out_tensor_tensor_layout_intarrayref_intt)(void* out, void* self, void* layout, void* blocksize, void* dense_dim);
-  HOST_API void* lantern_to_sparse_out_tensor_tensor_layout_intarrayref_intt(void* out, void* self, void* layout, void* blocksize, void* dense_dim) { LANTERN_CHECK_LOADED void* ret = _lantern_to_sparse_out_tensor_tensor_layout_intarrayref_intt(out, self, layout, blocksize, dense_dim); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_to_sparse_csr_out_tensor_tensor_intt)(void* out, void* self, void* dense_dim);
-  HOST_API void* lantern_to_sparse_csr_out_tensor_tensor_intt(void* out, void* self, void* dense_dim) { LANTERN_CHECK_LOADED void* ret = _lantern_to_sparse_csr_out_tensor_tensor_intt(out, self, dense_dim); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_to_sparse_csc_out_tensor_tensor_intt)(void* out, void* self, void* dense_dim);
-  HOST_API void* lantern_to_sparse_csc_out_tensor_tensor_intt(void* out, void* self, void* dense_dim) { LANTERN_CHECK_LOADED void* ret = _lantern_to_sparse_csc_out_tensor_tensor_intt(out, self, dense_dim); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_to_sparse_bsr_out_tensor_tensor_intarrayref_intt)(void* out, void* self, void* blocksize, void* dense_dim);
-  HOST_API void* lantern_to_sparse_bsr_out_tensor_tensor_intarrayref_intt(void* out, void* self, void* blocksize, void* dense_dim) { LANTERN_CHECK_LOADED void* ret = _lantern_to_sparse_bsr_out_tensor_tensor_intarrayref_intt(out, self, blocksize, dense_dim); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_to_sparse_bsc_out_tensor_tensor_intarrayref_intt)(void* out, void* self, void* blocksize, void* dense_dim);
-  HOST_API void* lantern_to_sparse_bsc_out_tensor_tensor_intarrayref_intt(void* out, void* self, void* blocksize, void* dense_dim) { LANTERN_CHECK_LOADED void* ret = _lantern_to_sparse_bsc_out_tensor_tensor_intarrayref_intt(out, self, blocksize, dense_dim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__to_sparse_out_tensor_tensor_intt)(void* out, void* self, void* sparse_dim);
+  HOST_API void* lantern__to_sparse_out_tensor_tensor_intt(void* out, void* self, void* sparse_dim) { LANTERN_CHECK_LOADED void* ret = _lantern__to_sparse_out_tensor_tensor_intt(out, self, sparse_dim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__to_sparse_out_tensor_tensor_layout_intarrayref_intt)(void* out, void* self, void* layout, void* blocksize, void* dense_dim);
+  HOST_API void* lantern__to_sparse_out_tensor_tensor_layout_intarrayref_intt(void* out, void* self, void* layout, void* blocksize, void* dense_dim) { LANTERN_CHECK_LOADED void* ret = _lantern__to_sparse_out_tensor_tensor_layout_intarrayref_intt(out, self, layout, blocksize, dense_dim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__to_sparse_csr_out_tensor_tensor_intt)(void* out, void* self, void* dense_dim);
+  HOST_API void* lantern__to_sparse_csr_out_tensor_tensor_intt(void* out, void* self, void* dense_dim) { LANTERN_CHECK_LOADED void* ret = _lantern__to_sparse_csr_out_tensor_tensor_intt(out, self, dense_dim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__to_sparse_csc_out_tensor_tensor_intt)(void* out, void* self, void* dense_dim);
+  HOST_API void* lantern__to_sparse_csc_out_tensor_tensor_intt(void* out, void* self, void* dense_dim) { LANTERN_CHECK_LOADED void* ret = _lantern__to_sparse_csc_out_tensor_tensor_intt(out, self, dense_dim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__to_sparse_bsr_out_tensor_tensor_intarrayref_intt)(void* out, void* self, void* blocksize, void* dense_dim);
+  HOST_API void* lantern__to_sparse_bsr_out_tensor_tensor_intarrayref_intt(void* out, void* self, void* blocksize, void* dense_dim) { LANTERN_CHECK_LOADED void* ret = _lantern__to_sparse_bsr_out_tensor_tensor_intarrayref_intt(out, self, blocksize, dense_dim); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__to_sparse_bsc_out_tensor_tensor_intarrayref_intt)(void* out, void* self, void* blocksize, void* dense_dim);
+  HOST_API void* lantern__to_sparse_bsc_out_tensor_tensor_intarrayref_intt(void* out, void* self, void* blocksize, void* dense_dim) { LANTERN_CHECK_LOADED void* ret = _lantern__to_sparse_bsc_out_tensor_tensor_intarrayref_intt(out, self, blocksize, dense_dim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_to_mkldnn_out_tensor_tensor_scalartype)(void* out, void* self, void* dtype);
   HOST_API void* lantern_to_mkldnn_out_tensor_tensor_scalartype(void* out, void* self, void* dtype) { LANTERN_CHECK_LOADED void* ret = _lantern_to_mkldnn_out_tensor_tensor_scalartype(out, self, dtype); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_mkldnn_reorder_conv2d_weight_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intt_intarrayref)(void* out, void* self, void* padding, void* stride, void* dilation, void* groups, void* input_size);
   HOST_API void* lantern_mkldnn_reorder_conv2d_weight_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intt_intarrayref(void* out, void* self, void* padding, void* stride, void* dilation, void* groups, void* input_size) { LANTERN_CHECK_LOADED void* ret = _lantern_mkldnn_reorder_conv2d_weight_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intt_intarrayref(out, self, padding, stride, dilation, groups, input_size); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_mkldnn_reorder_conv3d_weight_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intt)(void* out, void* self, void* padding, void* stride, void* dilation, void* groups);
-  HOST_API void* lantern_mkldnn_reorder_conv3d_weight_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intt(void* out, void* self, void* padding, void* stride, void* dilation, void* groups) { LANTERN_CHECK_LOADED void* ret = _lantern_mkldnn_reorder_conv3d_weight_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intt(out, self, padding, stride, dilation, groups); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern_mkldnn_reorder_conv3d_weight_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intt_intarrayref)(void* out, void* self, void* padding, void* stride, void* dilation, void* groups, void* input_size);
+  HOST_API void* lantern_mkldnn_reorder_conv3d_weight_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intt_intarrayref(void* out, void* self, void* padding, void* stride, void* dilation, void* groups, void* input_size) { LANTERN_CHECK_LOADED void* ret = _lantern_mkldnn_reorder_conv3d_weight_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intt_intarrayref(out, self, padding, stride, dilation, groups, input_size); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_quantize_per_tensor_dynamic_out_tensor_tensor_scalartype_bool)(void* out, void* self, void* dtype, void* reduce_range);
   HOST_API void* lantern_quantize_per_tensor_dynamic_out_tensor_tensor_scalartype_bool(void* out, void* self, void* dtype, void* reduce_range) { LANTERN_CHECK_LOADED void* ret = _lantern_quantize_per_tensor_dynamic_out_tensor_tensor_scalartype_bool(out, self, dtype, reduce_range); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_quantize_per_tensor_out_tensor_tensor_double_intt_scalartype)(void* out, void* self, void* scale, void* zero_point, void* dtype);
@@ -9320,8 +9600,6 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern__histogramdd_from_bin_tensors_out_tensor_tensor_tensorlist_tensor_bool(void* out, void* self, void* bins, void* weight, void* density) { LANTERN_CHECK_LOADED void* ret = _lantern__histogramdd_from_bin_tensors_out_tensor_tensor_tensorlist_tensor_bool(out, self, bins, weight, density); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_remainder_out_tensor_scalar_tensor)(void* out, void* self, void* other);
   HOST_API void* lantern_remainder_out_tensor_scalar_tensor(void* out, void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern_remainder_out_tensor_scalar_tensor(out, self, other); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_argsort_out_tensor_tensor_bool_intt_bool)(void* out, void* self, void* stable, void* dim, void* descending);
-  HOST_API void* lantern_argsort_out_tensor_tensor_bool_intt_bool(void* out, void* self, void* stable, void* dim, void* descending) { LANTERN_CHECK_LOADED void* ret = _lantern_argsort_out_tensor_tensor_bool_intt_bool(out, self, stable, dim, descending); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_unfold_backward_out_tensor_tensor_intarrayref_intt_intt_intt)(void* out, void* grad_in, void* input_sizes, void* dim, void* size, void* step);
   HOST_API void* lantern_unfold_backward_out_tensor_tensor_intarrayref_intt_intt_intt(void* out, void* grad_in, void* input_sizes, void* dim, void* size, void* step) { LANTERN_CHECK_LOADED void* ret = _lantern_unfold_backward_out_tensor_tensor_intarrayref_intt_intt_intt(out, grad_in, input_sizes, dim, size, step); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_normal_out_tensor_tensor_double_double_generator)(void* out, void* self, void* mean, void* std, void* generator);
@@ -9336,60 +9614,70 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern__amp_update_scale_tensor_tensor_tensor_double_double_intt(void* self, void* growth_tracker, void* found_inf, void* scale_growth_factor, void* scale_backoff_factor, void* growth_interval) { LANTERN_CHECK_LOADED void* ret = _lantern__amp_update_scale_tensor_tensor_tensor_double_double_intt(self, growth_tracker, found_inf, scale_growth_factor, scale_backoff_factor, growth_interval); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_add_out_tensorlist_tensorlist_scalar)(void* out, void* self, void* scalar);
   HOST_API void* lantern__foreach_add_out_tensorlist_tensorlist_scalar(void* out, void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_add_out_tensorlist_tensorlist_scalar(out, self, scalar); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sub_out_tensorlist_tensorlist_scalar)(void* out, void* self, void* scalar);
-  HOST_API void* lantern__foreach_sub_out_tensorlist_tensorlist_scalar(void* out, void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sub_out_tensorlist_tensorlist_scalar(out, self, scalar); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_mul_out_tensorlist_tensorlist_scalar)(void* out, void* self, void* scalar);
-  HOST_API void* lantern__foreach_mul_out_tensorlist_tensorlist_scalar(void* out, void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_mul_out_tensorlist_tensorlist_scalar(out, self, scalar); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_div_out_tensorlist_tensorlist_scalar)(void* out, void* self, void* scalar);
-  HOST_API void* lantern__foreach_div_out_tensorlist_tensorlist_scalar(void* out, void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_div_out_tensorlist_tensorlist_scalar(out, self, scalar); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_min_out_tensorlist_tensorlist_scalar)(void* out, void* self, void* scalar);
-  HOST_API void* lantern__foreach_clamp_min_out_tensorlist_tensorlist_scalar(void* out, void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_min_out_tensorlist_tensorlist_scalar(out, self, scalar); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_max_out_tensorlist_tensorlist_scalar)(void* out, void* self, void* scalar);
-  HOST_API void* lantern__foreach_clamp_max_out_tensorlist_tensorlist_scalar(void* out, void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_max_out_tensorlist_tensorlist_scalar(out, self, scalar); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_maximum_out_tensorlist_tensorlist_scalar)(void* out, void* self, void* scalar);
-  HOST_API void* lantern__foreach_maximum_out_tensorlist_tensorlist_scalar(void* out, void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_maximum_out_tensorlist_tensorlist_scalar(out, self, scalar); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_minimum_out_tensorlist_tensorlist_scalar)(void* out, void* self, void* scalar);
-  HOST_API void* lantern__foreach_minimum_out_tensorlist_tensorlist_scalar(void* out, void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_minimum_out_tensorlist_tensorlist_scalar(out, self, scalar); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_add_out_tensorlist_tensorlist_tensorlist_scalar)(void* out, void* self, void* other, void* alpha);
   HOST_API void* lantern__foreach_add_out_tensorlist_tensorlist_tensorlist_scalar(void* out, void* self, void* other, void* alpha) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_add_out_tensorlist_tensorlist_tensorlist_scalar(out, self, other, alpha); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_add_out_tensorlist_tensorlist_arrayrefscalar)(void* out, void* self, void* scalars);
+  HOST_API void* lantern__foreach_add_out_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_add_out_tensorlist_tensorlist_arrayrefscalar(out, self, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_add_out_tensorlist_tensorlist_tensor_scalar)(void* out, void* self, void* other, void* alpha);
+  HOST_API void* lantern__foreach_add_out_tensorlist_tensorlist_tensor_scalar(void* out, void* self, void* other, void* alpha) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_add_out_tensorlist_tensorlist_tensor_scalar(out, self, other, alpha); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sub_out_tensorlist_tensorlist_scalar)(void* out, void* self, void* scalar);
+  HOST_API void* lantern__foreach_sub_out_tensorlist_tensorlist_scalar(void* out, void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sub_out_tensorlist_tensorlist_scalar(out, self, scalar); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_sub_out_tensorlist_tensorlist_tensorlist_scalar)(void* out, void* self, void* other, void* alpha);
   HOST_API void* lantern__foreach_sub_out_tensorlist_tensorlist_tensorlist_scalar(void* out, void* self, void* other, void* alpha) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sub_out_tensorlist_tensorlist_tensorlist_scalar(out, self, other, alpha); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sub_out_tensorlist_tensorlist_arrayrefscalar)(void* out, void* self, void* scalars);
+  HOST_API void* lantern__foreach_sub_out_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sub_out_tensorlist_tensorlist_arrayrefscalar(out, self, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_mul_out_tensorlist_tensorlist_scalar)(void* out, void* self, void* scalar);
+  HOST_API void* lantern__foreach_mul_out_tensorlist_tensorlist_scalar(void* out, void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_mul_out_tensorlist_tensorlist_scalar(out, self, scalar); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_mul_out_tensorlist_tensorlist_tensorlist)(void* out, void* self, void* other);
   HOST_API void* lantern__foreach_mul_out_tensorlist_tensorlist_tensorlist(void* out, void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_mul_out_tensorlist_tensorlist_tensorlist(out, self, other); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_mul_out_tensorlist_tensorlist_arrayrefscalar)(void* out, void* self, void* scalars);
+  HOST_API void* lantern__foreach_mul_out_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_mul_out_tensorlist_tensorlist_arrayrefscalar(out, self, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_mul_out_tensorlist_tensorlist_tensor)(void* out, void* self, void* other);
+  HOST_API void* lantern__foreach_mul_out_tensorlist_tensorlist_tensor(void* out, void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_mul_out_tensorlist_tensorlist_tensor(out, self, other); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_div_out_tensorlist_tensorlist_scalar)(void* out, void* self, void* scalar);
+  HOST_API void* lantern__foreach_div_out_tensorlist_tensorlist_scalar(void* out, void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_div_out_tensorlist_tensorlist_scalar(out, self, scalar); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_div_out_tensorlist_tensorlist_tensorlist)(void* out, void* self, void* other);
   HOST_API void* lantern__foreach_div_out_tensorlist_tensorlist_tensorlist(void* out, void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_div_out_tensorlist_tensorlist_tensorlist(out, self, other); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_min_out_tensorlist_tensorlist_tensorlist)(void* out, void* self, void* other);
-  HOST_API void* lantern__foreach_clamp_min_out_tensorlist_tensorlist_tensorlist(void* out, void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_min_out_tensorlist_tensorlist_tensorlist(out, self, other); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_max_out_tensorlist_tensorlist_tensorlist)(void* out, void* self, void* other);
-  HOST_API void* lantern__foreach_clamp_max_out_tensorlist_tensorlist_tensorlist(void* out, void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_max_out_tensorlist_tensorlist_tensorlist(out, self, other); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_maximum_out_tensorlist_tensorlist_tensorlist)(void* out, void* self, void* other);
-  HOST_API void* lantern__foreach_maximum_out_tensorlist_tensorlist_tensorlist(void* out, void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_maximum_out_tensorlist_tensorlist_tensorlist(out, self, other); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_minimum_out_tensorlist_tensorlist_tensorlist)(void* out, void* self, void* other);
-  HOST_API void* lantern__foreach_minimum_out_tensorlist_tensorlist_tensorlist(void* out, void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_minimum_out_tensorlist_tensorlist_tensorlist(out, self, other); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_add_out_tensorlist_tensorlist_arrayrefscalar)(void* out, void* self, void* scalars);
-  HOST_API void* lantern__foreach_add_out_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_add_out_tensorlist_tensorlist_arrayrefscalar(out, self, scalars); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sub_out_tensorlist_tensorlist_arrayrefscalar)(void* out, void* self, void* scalars);
-  HOST_API void* lantern__foreach_sub_out_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sub_out_tensorlist_tensorlist_arrayrefscalar(out, self, scalars); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_div_out_tensorlist_tensorlist_arrayrefscalar)(void* out, void* self, void* scalars);
   HOST_API void* lantern__foreach_div_out_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_div_out_tensorlist_tensorlist_arrayrefscalar(out, self, scalars); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_mul_out_tensorlist_tensorlist_arrayrefscalar)(void* out, void* self, void* scalars);
-  HOST_API void* lantern__foreach_mul_out_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_mul_out_tensorlist_tensorlist_arrayrefscalar(out, self, scalars); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_min_out_tensorlist_tensorlist_arrayrefscalar)(void* out, void* self, void* scalars);
-  HOST_API void* lantern__foreach_clamp_min_out_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_min_out_tensorlist_tensorlist_arrayrefscalar(out, self, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_div_out_tensorlist_tensorlist_tensor)(void* out, void* self, void* other);
+  HOST_API void* lantern__foreach_div_out_tensorlist_tensorlist_tensor(void* out, void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_div_out_tensorlist_tensorlist_tensor(out, self, other); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_max_out_tensorlist_tensorlist_scalar)(void* out, void* self, void* scalar);
+  HOST_API void* lantern__foreach_clamp_max_out_tensorlist_tensorlist_scalar(void* out, void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_max_out_tensorlist_tensorlist_scalar(out, self, scalar); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_max_out_tensorlist_tensorlist_tensorlist)(void* out, void* self, void* other);
+  HOST_API void* lantern__foreach_clamp_max_out_tensorlist_tensorlist_tensorlist(void* out, void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_max_out_tensorlist_tensorlist_tensorlist(out, self, other); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_max_out_tensorlist_tensorlist_arrayrefscalar)(void* out, void* self, void* scalars);
   HOST_API void* lantern__foreach_clamp_max_out_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_max_out_tensorlist_tensorlist_arrayrefscalar(out, self, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_min_out_tensorlist_tensorlist_scalar)(void* out, void* self, void* scalar);
+  HOST_API void* lantern__foreach_clamp_min_out_tensorlist_tensorlist_scalar(void* out, void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_min_out_tensorlist_tensorlist_scalar(out, self, scalar); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_min_out_tensorlist_tensorlist_tensorlist)(void* out, void* self, void* other);
+  HOST_API void* lantern__foreach_clamp_min_out_tensorlist_tensorlist_tensorlist(void* out, void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_min_out_tensorlist_tensorlist_tensorlist(out, self, other); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_clamp_min_out_tensorlist_tensorlist_arrayrefscalar)(void* out, void* self, void* scalars);
+  HOST_API void* lantern__foreach_clamp_min_out_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_clamp_min_out_tensorlist_tensorlist_arrayrefscalar(out, self, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_maximum_out_tensorlist_tensorlist_scalar)(void* out, void* self, void* scalar);
+  HOST_API void* lantern__foreach_maximum_out_tensorlist_tensorlist_scalar(void* out, void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_maximum_out_tensorlist_tensorlist_scalar(out, self, scalar); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_maximum_out_tensorlist_tensorlist_tensorlist)(void* out, void* self, void* other);
+  HOST_API void* lantern__foreach_maximum_out_tensorlist_tensorlist_tensorlist(void* out, void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_maximum_out_tensorlist_tensorlist_tensorlist(out, self, other); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_maximum_out_tensorlist_tensorlist_arrayrefscalar)(void* out, void* self, void* scalars);
   HOST_API void* lantern__foreach_maximum_out_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_maximum_out_tensorlist_tensorlist_arrayrefscalar(out, self, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_minimum_out_tensorlist_tensorlist_scalar)(void* out, void* self, void* scalar);
+  HOST_API void* lantern__foreach_minimum_out_tensorlist_tensorlist_scalar(void* out, void* self, void* scalar) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_minimum_out_tensorlist_tensorlist_scalar(out, self, scalar); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_minimum_out_tensorlist_tensorlist_tensorlist)(void* out, void* self, void* other);
+  HOST_API void* lantern__foreach_minimum_out_tensorlist_tensorlist_tensorlist(void* out, void* self, void* other) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_minimum_out_tensorlist_tensorlist_tensorlist(out, self, other); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_minimum_out_tensorlist_tensorlist_arrayrefscalar)(void* out, void* self, void* scalars);
   HOST_API void* lantern__foreach_minimum_out_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_minimum_out_tensorlist_tensorlist_arrayrefscalar(out, self, scalars); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_exp_out_tensorlist_tensorlist)(void* out, void* self);
-  HOST_API void* lantern__foreach_exp_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_exp_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_zero_out_tensorlist_tensorlist)(void* out, void* self);
-  HOST_API void* lantern__foreach_zero_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_zero_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_zero_tensorlist)(void* self);
-  HOST_API void* lantern__foreach_zero_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_zero_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sqrt_out_tensorlist_tensorlist)(void* out, void* self);
-  HOST_API void* lantern__foreach_sqrt_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sqrt_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_scalar)(void* out, void* self, void* tensor1, void* tensor2, void* value);
+  HOST_API void* lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_scalar(void* out, void* self, void* tensor1, void* tensor2, void* value) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_scalar(out, self, tensor1, tensor2, value); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_arrayrefscalar)(void* out, void* self, void* tensor1, void* tensor2, void* scalars);
+  HOST_API void* lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* tensor1, void* tensor2, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_arrayrefscalar(out, self, tensor1, tensor2, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_tensor)(void* out, void* self, void* tensor1, void* tensor2, void* scalars);
+  HOST_API void* lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_tensor(void* out, void* self, void* tensor1, void* tensor2, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_tensor(out, self, tensor1, tensor2, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_scalar)(void* out, void* self, void* tensor1, void* tensor2, void* value);
+  HOST_API void* lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_scalar(void* out, void* self, void* tensor1, void* tensor2, void* value) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_scalar(out, self, tensor1, tensor2, value); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_arrayrefscalar)(void* out, void* self, void* tensor1, void* tensor2, void* scalars);
+  HOST_API void* lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* tensor1, void* tensor2, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_arrayrefscalar(out, self, tensor1, tensor2, scalars); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_tensor)(void* out, void* self, void* tensor1, void* tensor2, void* scalars);
+  HOST_API void* lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_tensor(void* out, void* self, void* tensor1, void* tensor2, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_tensor(out, self, tensor1, tensor2, scalars); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_abs_out_tensorlist_tensorlist)(void* out, void* self);
   HOST_API void* lantern__foreach_abs_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_abs_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_acos_out_tensorlist_tensorlist)(void* out, void* self);
@@ -9408,10 +9696,20 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern__foreach_erf_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_erf_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_erfc_out_tensorlist_tensorlist)(void* out, void* self);
   HOST_API void* lantern__foreach_erfc_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_erfc_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_exp_out_tensorlist_tensorlist)(void* out, void* self);
+  HOST_API void* lantern__foreach_exp_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_exp_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_expm1_out_tensorlist_tensorlist)(void* out, void* self);
   HOST_API void* lantern__foreach_expm1_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_expm1_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_floor_out_tensorlist_tensorlist)(void* out, void* self);
   HOST_API void* lantern__foreach_floor_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_floor_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_frac_out_tensorlist_tensorlist)(void* out, void* self);
+  HOST_API void* lantern__foreach_frac_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_frac_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_lerp_out_tensorlist_tensorlist_tensorlist_tensorlist)(void* out, void* self, void* tensors1, void* weights);
+  HOST_API void* lantern__foreach_lerp_out_tensorlist_tensorlist_tensorlist_tensorlist(void* out, void* self, void* tensors1, void* weights) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_lerp_out_tensorlist_tensorlist_tensorlist_tensorlist(out, self, tensors1, weights); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_lerp_out_tensorlist_tensorlist_tensorlist_scalar)(void* out, void* self, void* tensors1, void* weight);
+  HOST_API void* lantern__foreach_lerp_out_tensorlist_tensorlist_tensorlist_scalar(void* out, void* self, void* tensors1, void* weight) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_lerp_out_tensorlist_tensorlist_tensorlist_scalar(out, self, tensors1, weight); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_lgamma_out_tensorlist_tensorlist)(void* out, void* self);
+  HOST_API void* lantern__foreach_lgamma_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_lgamma_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_log_out_tensorlist_tensorlist)(void* out, void* self);
   HOST_API void* lantern__foreach_log_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_log_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_log10_out_tensorlist_tensorlist)(void* out, void* self);
@@ -9420,50 +9718,46 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern__foreach_log1p_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_log1p_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_log2_out_tensorlist_tensorlist)(void* out, void* self);
   HOST_API void* lantern__foreach_log2_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_log2_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_max_out_tensorlist_tensorlist)(void* out, void* self);
+  HOST_API void* lantern__foreach_max_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_max_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_neg_out_tensorlist_tensorlist)(void* out, void* self);
   HOST_API void* lantern__foreach_neg_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_neg_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_tan_out_tensorlist_tensorlist)(void* out, void* self);
-  HOST_API void* lantern__foreach_tan_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_tan_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_tanh_out_tensorlist_tensorlist)(void* out, void* self);
-  HOST_API void* lantern__foreach_tanh_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_tanh_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sin_out_tensorlist_tensorlist)(void* out, void* self);
-  HOST_API void* lantern__foreach_sin_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sin_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sinh_out_tensorlist_tensorlist)(void* out, void* self);
-  HOST_API void* lantern__foreach_sinh_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sinh_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_round_out_tensorlist_tensorlist)(void* out, void* self);
-  HOST_API void* lantern__foreach_round_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_round_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_lgamma_out_tensorlist_tensorlist)(void* out, void* self);
-  HOST_API void* lantern__foreach_lgamma_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_lgamma_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_frac_out_tensorlist_tensorlist)(void* out, void* self);
-  HOST_API void* lantern__foreach_frac_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_frac_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_norm_out_tensorlist_tensorlist_scalar_scalartype)(void* out, void* self, void* ord, void* dtype);
+  HOST_API void* lantern__foreach_norm_out_tensorlist_tensorlist_scalar_scalartype(void* out, void* self, void* ord, void* dtype) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_norm_out_tensorlist_tensorlist_scalar_scalartype(out, self, ord, dtype); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_pow_out_tensorlist_tensorlist_tensorlist)(void* out, void* self, void* exponent);
+  HOST_API void* lantern__foreach_pow_out_tensorlist_tensorlist_tensorlist(void* out, void* self, void* exponent) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_pow_out_tensorlist_tensorlist_tensorlist(out, self, exponent); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_pow_out_tensorlist_tensorlist_scalar)(void* out, void* self, void* exponent);
+  HOST_API void* lantern__foreach_pow_out_tensorlist_tensorlist_scalar(void* out, void* self, void* exponent) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_pow_out_tensorlist_tensorlist_scalar(out, self, exponent); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_pow_out_tensorlist_tensorlist_arrayrefscalar)(void* out, void* self, void* exponent);
+  HOST_API void* lantern__foreach_pow_out_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* exponent) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_pow_out_tensorlist_tensorlist_arrayrefscalar(out, self, exponent); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_reciprocal_out_tensorlist_tensorlist)(void* out, void* self);
   HOST_API void* lantern__foreach_reciprocal_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_reciprocal_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_round_out_tensorlist_tensorlist)(void* out, void* self);
+  HOST_API void* lantern__foreach_round_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_round_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_sigmoid_out_tensorlist_tensorlist)(void* out, void* self);
   HOST_API void* lantern__foreach_sigmoid_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sigmoid_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sign_out_tensorlist_tensorlist)(void* out, void* self);
+  HOST_API void* lantern__foreach_sign_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sign_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sin_out_tensorlist_tensorlist)(void* out, void* self);
+  HOST_API void* lantern__foreach_sin_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sin_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sinh_out_tensorlist_tensorlist)(void* out, void* self);
+  HOST_API void* lantern__foreach_sinh_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sinh_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_sqrt_out_tensorlist_tensorlist)(void* out, void* self);
+  HOST_API void* lantern__foreach_sqrt_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_sqrt_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_tan_out_tensorlist_tensorlist)(void* out, void* self);
+  HOST_API void* lantern__foreach_tan_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_tan_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_tanh_out_tensorlist_tensorlist)(void* out, void* self);
+  HOST_API void* lantern__foreach_tanh_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_tanh_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foreach_trunc_out_tensorlist_tensorlist)(void* out, void* self);
   HOST_API void* lantern__foreach_trunc_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_trunc_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_scalar)(void* out, void* self, void* tensor1, void* tensor2, void* value);
-  HOST_API void* lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_scalar(void* out, void* self, void* tensor1, void* tensor2, void* value) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_scalar(out, self, tensor1, tensor2, value); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_scalar)(void* out, void* self, void* tensor1, void* tensor2, void* value);
-  HOST_API void* lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_scalar(void* out, void* self, void* tensor1, void* tensor2, void* value) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_scalar(out, self, tensor1, tensor2, value); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_arrayrefscalar)(void* out, void* self, void* tensor1, void* tensor2, void* scalars);
-  HOST_API void* lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* tensor1, void* tensor2, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_arrayrefscalar(out, self, tensor1, tensor2, scalars); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_tensor)(void* out, void* self, void* tensor1, void* tensor2, void* scalars);
-  HOST_API void* lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_tensor(void* out, void* self, void* tensor1, void* tensor2, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_tensor(out, self, tensor1, tensor2, scalars); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_arrayrefscalar)(void* out, void* self, void* tensor1, void* tensor2, void* scalars);
-  HOST_API void* lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* tensor1, void* tensor2, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_arrayrefscalar(out, self, tensor1, tensor2, scalars); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_tensor)(void* out, void* self, void* tensor1, void* tensor2, void* scalars);
-  HOST_API void* lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_tensor(void* out, void* self, void* tensor1, void* tensor2, void* scalars) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_tensor(out, self, tensor1, tensor2, scalars); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_norm_out_tensorlist_tensorlist_scalar)(void* out, void* self, void* ord);
-  HOST_API void* lantern__foreach_norm_out_tensorlist_tensorlist_scalar(void* out, void* self, void* ord) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_norm_out_tensorlist_tensorlist_scalar(out, self, ord); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_lerp_out_tensorlist_tensorlist_tensorlist_tensorlist)(void* out, void* self, void* tensors1, void* weights);
-  HOST_API void* lantern__foreach_lerp_out_tensorlist_tensorlist_tensorlist_tensorlist(void* out, void* self, void* tensors1, void* weights) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_lerp_out_tensorlist_tensorlist_tensorlist_tensorlist(out, self, tensors1, weights); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__foreach_lerp_out_tensorlist_tensorlist_tensorlist_scalar)(void* out, void* self, void* tensors1, void* weight);
-  HOST_API void* lantern__foreach_lerp_out_tensorlist_tensorlist_tensorlist_scalar(void* out, void* self, void* tensors1, void* weight) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_lerp_out_tensorlist_tensorlist_tensorlist_scalar(out, self, tensors1, weight); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_zero_out_tensorlist_tensorlist)(void* out, void* self);
+  HOST_API void* lantern__foreach_zero_out_tensorlist_tensorlist(void* out, void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_zero_out_tensorlist_tensorlist(out, self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_zero_tensorlist)(void* self);
+  HOST_API void* lantern__foreach_zero_tensorlist(void* self) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_zero_tensorlist(self); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__foreach_copy_out_tensorlist_tensorlist_tensorlist_bool)(void* out, void* self, void* src, void* non_blocking);
+  HOST_API void* lantern__foreach_copy_out_tensorlist_tensorlist_tensorlist_bool(void* out, void* self, void* src, void* non_blocking) { LANTERN_CHECK_LOADED void* ret = _lantern__foreach_copy_out_tensorlist_tensorlist_tensorlist_bool(out, self, src, non_blocking); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_bucketize_out_tensor_scalar_tensor_bool_bool)(void* out, void* self, void* boundaries, void* out_int32, void* right);
   HOST_API void* lantern_bucketize_out_tensor_scalar_tensor_bool_bool(void* out, void* self, void* boundaries, void* out_int32, void* right) { LANTERN_CHECK_LOADED void* ret = _lantern_bucketize_out_tensor_scalar_tensor_bool_bool(out, self, boundaries, out_int32, right); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern_searchsorted_out_tensor_tensor_scalar_bool_bool_cstringview_tensor)(void* out, void* sorted_sequence, void* self, void* out_int32, void* right, void* side, void* sorter);
-  HOST_API void* lantern_searchsorted_out_tensor_tensor_scalar_bool_bool_cstringview_tensor(void* out, void* sorted_sequence, void* self, void* out_int32, void* right, void* side, void* sorter) { LANTERN_CHECK_LOADED void* ret = _lantern_searchsorted_out_tensor_tensor_scalar_bool_bool_cstringview_tensor(out, sorted_sequence, self, out_int32, right, side, sorter); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_glu_jvp_out_tensor_tensor_tensor_tensor_intt)(void* out, void* glu, void* x, void* dx, void* dim);
   HOST_API void* lantern_glu_jvp_out_tensor_tensor_tensor_tensor_intt(void* out, void* glu, void* x, void* dx, void* dim) { LANTERN_CHECK_LOADED void* ret = _lantern_glu_jvp_out_tensor_tensor_tensor_tensor_intt(out, glu, x, dx, dim); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern_glu_backward_jvp_out_tensor_tensor_tensor_tensor_tensor_tensor_intt)(void* out, void* grad_x, void* grad_glu, void* x, void* dgrad_glu, void* dx, void* dim);
@@ -9588,20 +9882,36 @@ HOST_API void lantern_buffer_from_tensor (void* tensor, void* buffer, int n)
   HOST_API void* lantern__triton_scaled_dot_attention_out_tensor_tensor_tensor_tensor_double(void* out, void* q, void* k, void* v, void* dropout_p) { LANTERN_CHECK_LOADED void* ret = _lantern__triton_scaled_dot_attention_out_tensor_tensor_tensor_tensor_double(out, q, k, v, dropout_p); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__triton_multi_head_attention_out_tensor_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_tensor)(void* out, void* query, void* key, void* value, void* embed_dim, void* num_head, void* qkv_weight, void* qkv_bias, void* proj_weight, void* proj_bias, void* mask);
   HOST_API void* lantern__triton_multi_head_attention_out_tensor_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_tensor(void* out, void* query, void* key, void* value, void* embed_dim, void* num_head, void* qkv_weight, void* qkv_bias, void* proj_weight, void* proj_bias, void* mask) { LANTERN_CHECK_LOADED void* ret = _lantern__triton_multi_head_attention_out_tensor_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_tensor(out, query, key, value, embed_dim, num_head, qkv_weight, qkv_bias, proj_weight, proj_bias, mask); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__transformer_decoder_only_layer_fwd_out_tensor_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_bool_bool_double_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor)(void* out0, void* out1, void* out2, void* src, void* embed_dim, void* num_heads, void* qkv_weight, void* qkv_bias, void* proj_weight, void* proj_bias, void* use_gelu, void* norm_first, void* eps, void* norm_weight_1, void* norm_bias_1, void* norm_weight_2, void* norm_bias_2, void* ffn_weight_1, void* ffn_bias_1, void* ffn_weight_2, void* ffn_bias_2, void* mask, void* incr_key, void* incr_value);
-  HOST_API void* lantern__transformer_decoder_only_layer_fwd_out_tensor_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_bool_bool_double_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor(void* out0, void* out1, void* out2, void* src, void* embed_dim, void* num_heads, void* qkv_weight, void* qkv_bias, void* proj_weight, void* proj_bias, void* use_gelu, void* norm_first, void* eps, void* norm_weight_1, void* norm_bias_1, void* norm_weight_2, void* norm_bias_2, void* ffn_weight_1, void* ffn_bias_1, void* ffn_weight_2, void* ffn_bias_2, void* mask, void* incr_key, void* incr_value) { LANTERN_CHECK_LOADED void* ret = _lantern__transformer_decoder_only_layer_fwd_out_tensor_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_bool_bool_double_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor(out0, out1, out2, src, embed_dim, num_heads, qkv_weight, qkv_bias, proj_weight, proj_bias, use_gelu, norm_first, eps, norm_weight_1, norm_bias_1, norm_weight_2, norm_bias_2, ffn_weight_1, ffn_bias_1, ffn_weight_2, ffn_bias_2, mask, incr_key, incr_value); LANTERN_HOST_HANDLER return ret; }
-  LANTERN_API void* (LANTERN_PTR _lantern__native_decoder_only_multi_head_attention_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_bool)(void* out0, void* out1, void* out2, void* out3, void* query, void* key, void* value, void* embed_dim, void* num_head, void* qkv_weight, void* qkv_bias, void* proj_weight, void* proj_bias, void* mask, void* incr_key, void* incr_value, void* need_weights, void* average_attn_weights);
-  HOST_API void* lantern__native_decoder_only_multi_head_attention_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_bool(void* out0, void* out1, void* out2, void* out3, void* query, void* key, void* value, void* embed_dim, void* num_head, void* qkv_weight, void* qkv_bias, void* proj_weight, void* proj_bias, void* mask, void* incr_key, void* incr_value, void* need_weights, void* average_attn_weights) { LANTERN_CHECK_LOADED void* ret = _lantern__native_decoder_only_multi_head_attention_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_bool(out0, out1, out2, out3, query, key, value, embed_dim, num_head, qkv_weight, qkv_bias, proj_weight, proj_bias, mask, incr_key, incr_value, need_weights, average_attn_weights); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__foobar_out_tensor_tensor_bool_bool_bool)(void* out, void* self, void* arg1, void* arg2, void* arg3);
   HOST_API void* lantern__foobar_out_tensor_tensor_bool_bool_bool(void* out, void* self, void* arg1, void* arg2, void* arg3) { LANTERN_CHECK_LOADED void* ret = _lantern__foobar_out_tensor_tensor_bool_bool_bool(out, self, arg1, arg2, arg3); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__fused_adam_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor)(void* out, void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf);
   HOST_API void* lantern__fused_adam_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor(void* out, void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf) { LANTERN_CHECK_LOADED void* ret = _lantern__fused_adam_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor(out, self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__fused_adam_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor)(void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf);
   HOST_API void* lantern__fused_adam_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor(void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf) { LANTERN_CHECK_LOADED void* ret = _lantern__fused_adam_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor(self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__fused_adam_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor)(void* out, void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf);
+  HOST_API void* lantern__fused_adam_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor(void* out, void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf) { LANTERN_CHECK_LOADED void* ret = _lantern__fused_adam_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor(out, self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__fused_adam_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor)(void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf);
+  HOST_API void* lantern__fused_adam_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor(void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf) { LANTERN_CHECK_LOADED void* ret = _lantern__fused_adam_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor(self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__fused_adamw_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor)(void* out, void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf);
   HOST_API void* lantern__fused_adamw_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor(void* out, void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf) { LANTERN_CHECK_LOADED void* ret = _lantern__fused_adamw_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor(out, self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf); LANTERN_HOST_HANDLER return ret; }
   LANTERN_API void* (LANTERN_PTR _lantern__fused_adamw_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor)(void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf);
   HOST_API void* lantern__fused_adamw_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor(void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf) { LANTERN_CHECK_LOADED void* ret = _lantern__fused_adamw_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor(self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__fused_adamw_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor)(void* out, void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf);
+  HOST_API void* lantern__fused_adamw_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor(void* out, void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf) { LANTERN_CHECK_LOADED void* ret = _lantern__fused_adamw_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor(out, self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__fused_adamw_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor)(void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf);
+  HOST_API void* lantern__fused_adamw_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor(void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf) { LANTERN_CHECK_LOADED void* ret = _lantern__fused_adamw_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor(self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__fused_sgd_out_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_bool_bool_tensor_tensor)(void* out, void* self, void* grads, void* momentum_buffer_list, void* weight_decay, void* momentum, void* lr, void* dampening, void* nesterov, void* maximize, void* is_first_step, void* grad_scale, void* found_inf);
+  HOST_API void* lantern__fused_sgd_out_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_bool_bool_tensor_tensor(void* out, void* self, void* grads, void* momentum_buffer_list, void* weight_decay, void* momentum, void* lr, void* dampening, void* nesterov, void* maximize, void* is_first_step, void* grad_scale, void* found_inf) { LANTERN_CHECK_LOADED void* ret = _lantern__fused_sgd_out_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_bool_bool_tensor_tensor(out, self, grads, momentum_buffer_list, weight_decay, momentum, lr, dampening, nesterov, maximize, is_first_step, grad_scale, found_inf); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__fused_sgd_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_bool_bool_tensor_tensor)(void* self, void* grads, void* momentum_buffer_list, void* weight_decay, void* momentum, void* lr, void* dampening, void* nesterov, void* maximize, void* is_first_step, void* grad_scale, void* found_inf);
+  HOST_API void* lantern__fused_sgd_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_bool_bool_tensor_tensor(void* self, void* grads, void* momentum_buffer_list, void* weight_decay, void* momentum, void* lr, void* dampening, void* nesterov, void* maximize, void* is_first_step, void* grad_scale, void* found_inf) { LANTERN_CHECK_LOADED void* ret = _lantern__fused_sgd_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_bool_bool_tensor_tensor(self, grads, momentum_buffer_list, weight_decay, momentum, lr, dampening, nesterov, maximize, is_first_step, grad_scale, found_inf); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__fused_sgd_out_tensorlist_tensorlist_tensorlist_tensorlist_double_double_tensor_double_bool_bool_bool_tensor_tensor)(void* out, void* self, void* grads, void* momentum_buffer_list, void* weight_decay, void* momentum, void* lr, void* dampening, void* nesterov, void* maximize, void* is_first_step, void* grad_scale, void* found_inf);
+  HOST_API void* lantern__fused_sgd_out_tensorlist_tensorlist_tensorlist_tensorlist_double_double_tensor_double_bool_bool_bool_tensor_tensor(void* out, void* self, void* grads, void* momentum_buffer_list, void* weight_decay, void* momentum, void* lr, void* dampening, void* nesterov, void* maximize, void* is_first_step, void* grad_scale, void* found_inf) { LANTERN_CHECK_LOADED void* ret = _lantern__fused_sgd_out_tensorlist_tensorlist_tensorlist_tensorlist_double_double_tensor_double_bool_bool_bool_tensor_tensor(out, self, grads, momentum_buffer_list, weight_decay, momentum, lr, dampening, nesterov, maximize, is_first_step, grad_scale, found_inf); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__fused_sgd_tensorlist_tensorlist_tensorlist_double_double_tensor_double_bool_bool_bool_tensor_tensor)(void* self, void* grads, void* momentum_buffer_list, void* weight_decay, void* momentum, void* lr, void* dampening, void* nesterov, void* maximize, void* is_first_step, void* grad_scale, void* found_inf);
+  HOST_API void* lantern__fused_sgd_tensorlist_tensorlist_tensorlist_double_double_tensor_double_bool_bool_bool_tensor_tensor(void* self, void* grads, void* momentum_buffer_list, void* weight_decay, void* momentum, void* lr, void* dampening, void* nesterov, void* maximize, void* is_first_step, void* grad_scale, void* found_inf) { LANTERN_CHECK_LOADED void* ret = _lantern__fused_sgd_tensorlist_tensorlist_tensorlist_double_double_tensor_double_bool_bool_bool_tensor_tensor(self, grads, momentum_buffer_list, weight_decay, momentum, lr, dampening, nesterov, maximize, is_first_step, grad_scale, found_inf); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__fused_adagrad_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_tensor_tensor)(void* out, void* self, void* grads, void* state_sums, void* state_steps, void* lr, void* lr_decay, void* weight_decay, void* eps, void* maximize, void* grad_scale, void* found_inf);
+  HOST_API void* lantern__fused_adagrad_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_tensor_tensor(void* out, void* self, void* grads, void* state_sums, void* state_steps, void* lr, void* lr_decay, void* weight_decay, void* eps, void* maximize, void* grad_scale, void* found_inf) { LANTERN_CHECK_LOADED void* ret = _lantern__fused_adagrad_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_tensor_tensor(out, self, grads, state_sums, state_steps, lr, lr_decay, weight_decay, eps, maximize, grad_scale, found_inf); LANTERN_HOST_HANDLER return ret; }
+  LANTERN_API void* (LANTERN_PTR _lantern__fused_adagrad_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_tensor_tensor)(void* self, void* grads, void* state_sums, void* state_steps, void* lr, void* lr_decay, void* weight_decay, void* eps, void* maximize, void* grad_scale, void* found_inf);
+  HOST_API void* lantern__fused_adagrad_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_tensor_tensor(void* self, void* grads, void* state_sums, void* state_steps, void* lr, void* lr_decay, void* weight_decay, void* eps, void* maximize, void* grad_scale, void* found_inf) { LANTERN_CHECK_LOADED void* ret = _lantern__fused_adagrad_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_tensor_tensor(self, grads, state_sums, state_steps, lr, lr_decay, weight_decay, eps, maximize, grad_scale, found_inf); LANTERN_HOST_HANDLER return ret; }
   /* Autogen Headers -- End */
 
 #ifdef __cplusplus
@@ -9711,8 +10021,12 @@ bool lanternLoadLibrary(const std::string &libPath, std::string *pError)
   }
 
   pLibrary = (void *)::LoadLibraryEx(libFile.c_str(), NULL, LOAD_LIBRARY_SEARCH_DEFAULT_DIRS);
+#elif defined(__APPLE__) || defined(__MACH__)
+  pLibrary = ::dlopen(libFile.c_str(), RTLD_NOW);
 #else
-  pLibrary = ::dlopen(libFile.c_str(), RTLD_NOW | RTLD_GLOBAL);
+  // On Linux use RTLD_DEEPBIND to avoid conflicts and make sure libtorch calls into
+  // the bundled MKL BLAS.
+  pLibrary = dlopen(libFile.c_str(), RTLD_NOW | RTLD_DEEPBIND);
 #endif
   if (pLibrary == NULL)
   {
@@ -10261,7 +10575,17 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_Tensor_align_as_tensor_tensor)
   LOAD_SYMBOL(_lantern_align_tensors_tensorlist)
   LOAD_SYMBOL(_lantern__assert_async_tensor)
+  LOAD_SYMBOL(_lantern__assert_async_tensor_cstringview)
+  LOAD_SYMBOL(_lantern__assert_scalar_scalar_cstringview)
+  LOAD_SYMBOL(_lantern__functional_assert_scalar_scalar_cstringview_tensor)
+  LOAD_SYMBOL(_lantern__functional_assert_async_tensor_cstringview_tensor)
   LOAD_SYMBOL(_lantern__assert_tensor_metadata_tensor_intarrayref_intarrayref_scalartype)
+  LOAD_SYMBOL(_lantern__print_cstringview)
+  LOAD_SYMBOL(_lantern_sym_constrain_range_scalar_intt_intt)
+  LOAD_SYMBOL(_lantern_sym_constrain_range_for_size_scalar_intt_intt)
+  LOAD_SYMBOL(_lantern__functional_sym_constrain_range_scalar_intt_intt_tensor)
+  LOAD_SYMBOL(_lantern__functional_sym_constrain_range_for_size_scalar_intt_intt_tensor)
+  LOAD_SYMBOL(_lantern__make_dep_token_tensoroptions_memoryformat)
   LOAD_SYMBOL(_lantern_Tensor_refine_names_tensor_dimnamelist)
   LOAD_SYMBOL(_lantern__use_cudnn_ctc_loss_tensor_tensor_intarrayref_intarrayref_intt)
   LOAD_SYMBOL(_lantern__use_cudnn_ctc_loss_tensor_tensor_tensor_tensor_intt)
@@ -10370,9 +10694,13 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern__is_any_true_tensor)
   LOAD_SYMBOL(_lantern_Tensor__is_any_true_tensor)
   LOAD_SYMBOL(_lantern__test_check_tensor_tensor)
+  LOAD_SYMBOL(_lantern__test_functorch_fallback_tensor_tensor)
   LOAD_SYMBOL(_lantern_all_tensor_intt_bool)
   LOAD_SYMBOL(_lantern_Tensor_all_tensor_intt_bool)
+  LOAD_SYMBOL(_lantern_all_tensor_intarrayref_bool)
+  LOAD_SYMBOL(_lantern_Tensor_all_tensor_intarrayref_bool)
   LOAD_SYMBOL(_lantern_all_out_tensor_tensor_intt_bool)
+  LOAD_SYMBOL(_lantern_all_out_tensor_tensor_intarrayref_bool)
   LOAD_SYMBOL(_lantern_all_tensor_dimname_bool)
   LOAD_SYMBOL(_lantern_Tensor_all_tensor_dimname_bool)
   LOAD_SYMBOL(_lantern_all_out_tensor_tensor_dimname_bool)
@@ -10380,7 +10708,10 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_Tensor_allclose_tensor_tensor_double_double_bool)
   LOAD_SYMBOL(_lantern_any_tensor_intt_bool)
   LOAD_SYMBOL(_lantern_Tensor_any_tensor_intt_bool)
+  LOAD_SYMBOL(_lantern_any_tensor_intarrayref_bool)
+  LOAD_SYMBOL(_lantern_Tensor_any_tensor_intarrayref_bool)
   LOAD_SYMBOL(_lantern_any_out_tensor_tensor_intt_bool)
+  LOAD_SYMBOL(_lantern_any_out_tensor_tensor_intarrayref_bool)
   LOAD_SYMBOL(_lantern_any_tensor_dimname_bool)
   LOAD_SYMBOL(_lantern_Tensor_any_tensor_dimname_bool)
   LOAD_SYMBOL(_lantern_any_out_tensor_tensor_dimname_bool)
@@ -10493,6 +10824,8 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_Tensor_copysign_tensor_scalar)
   LOAD_SYMBOL(_lantern_Tensor_copysign__tensor_scalar)
   LOAD_SYMBOL(_lantern_copysign_out_tensor_tensor_scalar)
+  LOAD_SYMBOL(_lantern__lazy_clone_tensor)
+  LOAD_SYMBOL(_lantern_Tensor__lazy_clone_tensor)
   LOAD_SYMBOL(_lantern_logical_not_tensor)
   LOAD_SYMBOL(_lantern_Tensor_logical_not_tensor)
   LOAD_SYMBOL(_lantern_Tensor_logical_not__tensor)
@@ -10642,6 +10975,7 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_cudnn_batch_norm_tensor_tensor_tensor_tensor_tensor_bool_double_double)
   LOAD_SYMBOL(_lantern_cudnn_batch_norm_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_tensor)
   LOAD_SYMBOL(_lantern_cudnn_convolution_tensor_tensor_intarrayref_intarrayref_intarrayref_intt_bool_bool_bool)
+  LOAD_SYMBOL(_lantern_cudnn_convolution_out_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intt_bool_bool_bool)
   LOAD_SYMBOL(_lantern_cudnn_convolution_transpose_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt_bool_bool_bool)
   LOAD_SYMBOL(_lantern__mps_convolution_transpose_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt)
   LOAD_SYMBOL(_lantern_mps_convolution_transpose_backward_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt_stdarraybool)
@@ -10770,6 +11104,7 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern__embedding_bag_per_sample_weights_backward_tensor_tensor_tensor_tensor_tensor_intt_intt)
   LOAD_SYMBOL(_lantern_empty_intarrayref_dimnamelist_tensoroptions_memoryformat)
   LOAD_SYMBOL(_lantern_empty_intarrayref_tensoroptions_memoryformat)
+  LOAD_SYMBOL(_lantern_empty_permuted_intarrayref_intarrayref_tensoroptions)
   LOAD_SYMBOL(_lantern_Tensor_new_empty_tensor_intarrayref_tensoroptions)
   LOAD_SYMBOL(_lantern_Tensor_new_empty_strided_tensor_intarrayref_intarrayref_tensoroptions)
   LOAD_SYMBOL(_lantern_Tensor_new_full_tensor_intarrayref_scalar_tensoroptions)
@@ -10891,13 +11226,16 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern__fft_c2c_tensor_intarrayref_intt_bool)
   LOAD_SYMBOL(_lantern__fft_c2c_out_tensor_tensor_intarrayref_intt_bool)
   LOAD_SYMBOL(_lantern__validate_compressed_sparse_indices_bool_tensor_tensor_intt_intt_intt)
-  LOAD_SYMBOL(_lantern__cufft_get_plan_cache_size_intt)
-  LOAD_SYMBOL(_lantern__cufft_get_plan_cache_max_size_intt)
-  LOAD_SYMBOL(_lantern__cufft_set_plan_cache_max_size_intt_intt)
-  LOAD_SYMBOL(_lantern__cufft_clear_plan_cache_intt)
-  LOAD_SYMBOL(_lantern_index_tensor_constclistcoptionaltensor)
-  LOAD_SYMBOL(_lantern_Tensor_index_tensor_constclistcoptionaltensor)
-  LOAD_SYMBOL(_lantern_index_out_tensor_tensor_constclistcoptionaltensor)
+  LOAD_SYMBOL(_lantern__cufft_get_plan_cache_size_deviceindex)
+  LOAD_SYMBOL(_lantern__cufft_get_plan_cache_max_size_deviceindex)
+  LOAD_SYMBOL(_lantern__cufft_set_plan_cache_max_size_deviceindex_intt)
+  LOAD_SYMBOL(_lantern__cufft_clear_plan_cache_deviceindex)
+  LOAD_SYMBOL(_lantern_index_tensor_constcliststdoptionaltensor)
+  LOAD_SYMBOL(_lantern_Tensor_index_tensor_constcliststdoptionaltensor)
+  LOAD_SYMBOL(_lantern_index_out_tensor_tensor_constcliststdoptionaltensor)
+  LOAD_SYMBOL(_lantern__unsafe_index_tensor_constcliststdoptionaltensor)
+  LOAD_SYMBOL(_lantern__unsafe_masked_index_tensor_tensor_constcliststdoptionaltensor_scalar)
+  LOAD_SYMBOL(_lantern__unsafe_masked_index_put_accumulate_tensor_tensor_constcliststdoptionaltensor_tensor)
   LOAD_SYMBOL(_lantern_index_copy_out_tensor_tensor_intt_tensor_tensor)
   LOAD_SYMBOL(_lantern_Tensor_index_copy__tensor_intt_tensor_tensor)
   LOAD_SYMBOL(_lantern_index_copy_tensor_intt_tensor_tensor)
@@ -10905,11 +11243,12 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_Tensor_index_copy__tensor_dimname_tensor_tensor)
   LOAD_SYMBOL(_lantern_index_copy_tensor_dimname_tensor_tensor)
   LOAD_SYMBOL(_lantern_Tensor_index_copy_tensor_dimname_tensor_tensor)
-  LOAD_SYMBOL(_lantern_index_put__tensor_constclistcoptionaltensor_tensor_bool)
-  LOAD_SYMBOL(_lantern_Tensor_index_put__tensor_constclistcoptionaltensor_tensor_bool)
-  LOAD_SYMBOL(_lantern_index_put_tensor_constclistcoptionaltensor_tensor_bool)
-  LOAD_SYMBOL(_lantern_Tensor_index_put_tensor_constclistcoptionaltensor_tensor_bool)
-  LOAD_SYMBOL(_lantern__index_put_impl__tensor_constclistcoptionaltensor_tensor_bool_bool)
+  LOAD_SYMBOL(_lantern_index_put__tensor_constcliststdoptionaltensor_tensor_bool)
+  LOAD_SYMBOL(_lantern_Tensor_index_put__tensor_constcliststdoptionaltensor_tensor_bool)
+  LOAD_SYMBOL(_lantern_index_put_tensor_constcliststdoptionaltensor_tensor_bool)
+  LOAD_SYMBOL(_lantern_Tensor_index_put_tensor_constcliststdoptionaltensor_tensor_bool)
+  LOAD_SYMBOL(_lantern__unsafe_index_put_tensor_constcliststdoptionaltensor_tensor_bool)
+  LOAD_SYMBOL(_lantern__index_put_impl__tensor_constcliststdoptionaltensor_tensor_bool_bool)
   LOAD_SYMBOL(_lantern_instance_norm_tensor_tensor_tensor_tensor_tensor_bool_double_double_bool)
   LOAD_SYMBOL(_lantern_isclose_tensor_tensor_double_double_bool)
   LOAD_SYMBOL(_lantern_Tensor_isclose_tensor_tensor_double_double_bool)
@@ -10956,6 +11295,7 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_layer_norm_tensor_intarrayref_tensor_tensor_double_bool)
   LOAD_SYMBOL(_lantern_native_layer_norm_tensor_intarrayref_tensor_tensor_double)
   LOAD_SYMBOL(_lantern_native_layer_norm_backward_tensor_tensor_intarrayref_tensor_tensor_tensor_tensor_stdarraybool)
+  LOAD_SYMBOL(_lantern_rms_norm_tensor_intarrayref_tensor_double)
   LOAD_SYMBOL(_lantern_nan_to_num_tensor_double_double_double)
   LOAD_SYMBOL(_lantern_Tensor_nan_to_num_tensor_double_double_double)
   LOAD_SYMBOL(_lantern_nan_to_num__tensor_double_double_double)
@@ -10968,10 +11308,22 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_mkldnn_linear_backward_input_intarrayref_tensor_tensor)
   LOAD_SYMBOL(_lantern_mkldnn_linear_backward_weights_tensor_tensor_tensor_bool)
   LOAD_SYMBOL(_lantern_mkldnn_linear_backward_tensor_tensor_tensor_stdarraybool)
+  LOAD_SYMBOL(_lantern__cslt_compress_tensor)
+  LOAD_SYMBOL(_lantern__cslt_sparse_mm_tensor_tensor_tensor_tensor_scalartype_bool_intt)
+  LOAD_SYMBOL(_lantern__cslt_sparse_mm_search_tensor_tensor_tensor_tensor_scalartype_bool)
+  LOAD_SYMBOL(_lantern__sparse_semi_structured_tile_tensor_cstringview_bool)
+  LOAD_SYMBOL(_lantern__sparse_semi_structured_apply_tensor_tensor)
+  LOAD_SYMBOL(_lantern__sparse_semi_structured_apply_dense_tensor_tensor)
+  LOAD_SYMBOL(_lantern__sparse_semi_structured_linear_tensor_tensor_tensor_tensor_cstringview_scalartype)
+  LOAD_SYMBOL(_lantern__sparse_semi_structured_mm_tensor_tensor_tensor_scalartype)
+  LOAD_SYMBOL(_lantern__sparse_semi_structured_addmm_tensor_tensor_tensor_tensor_scalar_scalar_scalartype)
+  LOAD_SYMBOL(_lantern__mixed_dtypes_linear_tensor_tensor_tensor_tensor_cstringview)
   LOAD_SYMBOL(_lantern_fbgemm_linear_int8_weight_fp32_activation_tensor_tensor_tensor_tensor_scalar_scalar_tensor)
   LOAD_SYMBOL(_lantern_fbgemm_linear_int8_weight_tensor_tensor_tensor_tensor_scalar_scalar_tensor)
   LOAD_SYMBOL(_lantern_fbgemm_linear_quantize_weight_tensor)
   LOAD_SYMBOL(_lantern_fbgemm_pack_gemm_matrix_fp16_tensor)
+  LOAD_SYMBOL(_lantern__wrapped_linear_prepack_tensor_tensor_tensor_tensor)
+  LOAD_SYMBOL(_lantern__wrapped_quantized_linear_prepacked_tensor_tensor_tensor_tensor_tensor_tensor_intt)
   LOAD_SYMBOL(_lantern_fbgemm_linear_fp16_weight_fp32_activation_tensor_tensor_tensor)
   LOAD_SYMBOL(_lantern_fbgemm_linear_fp16_weight_tensor_tensor_tensor)
   LOAD_SYMBOL(_lantern_fbgemm_pack_quantized_matrix_tensor)
@@ -10982,7 +11334,13 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_Tensor_ldexp__tensor_tensor)
   LOAD_SYMBOL(_lantern_ldexp_out_tensor_tensor_tensor)
   LOAD_SYMBOL(_lantern_linspace_scalar_scalar_intt_tensoroptions)
+  LOAD_SYMBOL(_lantern_linspace_tensor_tensor_intt_tensoroptions)
+  LOAD_SYMBOL(_lantern_linspace_tensor_scalar_intt_tensoroptions)
+  LOAD_SYMBOL(_lantern_linspace_scalar_tensor_intt_tensoroptions)
   LOAD_SYMBOL(_lantern_linspace_out_tensor_scalar_scalar_intt)
+  LOAD_SYMBOL(_lantern_linspace_out_tensor_tensor_tensor_intt)
+  LOAD_SYMBOL(_lantern_linspace_out_tensor_tensor_scalar_intt)
+  LOAD_SYMBOL(_lantern_linspace_out_tensor_scalar_tensor_intt)
   LOAD_SYMBOL(_lantern_log_tensor)
   LOAD_SYMBOL(_lantern_Tensor_log_tensor)
   LOAD_SYMBOL(_lantern_log__tensor)
@@ -11022,7 +11380,13 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_xlogy_out_tensor_scalar_tensor)
   LOAD_SYMBOL(_lantern_xlogy_out_tensor_tensor_scalar)
   LOAD_SYMBOL(_lantern_logspace_scalar_scalar_intt_double_tensoroptions)
+  LOAD_SYMBOL(_lantern_logspace_tensor_tensor_intt_double_tensoroptions)
+  LOAD_SYMBOL(_lantern_logspace_tensor_scalar_intt_double_tensoroptions)
+  LOAD_SYMBOL(_lantern_logspace_scalar_tensor_intt_double_tensoroptions)
   LOAD_SYMBOL(_lantern_logspace_out_tensor_scalar_scalar_intt_double)
+  LOAD_SYMBOL(_lantern_logspace_out_tensor_tensor_tensor_intt_double)
+  LOAD_SYMBOL(_lantern_logspace_out_tensor_tensor_scalar_intt_double)
+  LOAD_SYMBOL(_lantern_logspace_out_tensor_scalar_tensor_intt_double)
   LOAD_SYMBOL(_lantern_log_softmax_tensor_intt_scalartype)
   LOAD_SYMBOL(_lantern_Tensor_log_softmax_tensor_intt_scalartype)
   LOAD_SYMBOL(_lantern_log_softmax_out_tensor_tensor_intt_scalartype)
@@ -11084,9 +11448,11 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_mkldnn_max_pool3d_backward_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool)
   LOAD_SYMBOL(_lantern_quantized_max_pool1d_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool)
   LOAD_SYMBOL(_lantern_quantized_max_pool2d_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool)
+  LOAD_SYMBOL(_lantern_quantized_max_pool3d_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool)
   LOAD_SYMBOL(_lantern_max_pool3d_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool)
   LOAD_SYMBOL(_lantern_mean_tensor_scalartype)
   LOAD_SYMBOL(_lantern_Tensor_mean_tensor_scalartype)
+  LOAD_SYMBOL(_lantern_mean_out_tensor_tensor_scalartype)
   LOAD_SYMBOL(_lantern_mean_tensor_intarrayref_bool_scalartype)
   LOAD_SYMBOL(_lantern_Tensor_mean_tensor_intarrayref_bool_scalartype)
   LOAD_SYMBOL(_lantern_mean_out_tensor_tensor_intarrayref_bool_scalartype)
@@ -11138,6 +11504,11 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_mm_tensor_tensor)
   LOAD_SYMBOL(_lantern_Tensor_mm_tensor_tensor)
   LOAD_SYMBOL(_lantern_mm_out_tensor_tensor_tensor)
+  LOAD_SYMBOL(_lantern__int_mm_tensor_tensor)
+  LOAD_SYMBOL(_lantern__int_mm_out_tensor_tensor_tensor)
+  LOAD_SYMBOL(_lantern__convert_weight_to_int4pack_tensor_intt)
+  LOAD_SYMBOL(_lantern__weight_int4pack_mm_tensor_tensor_intt_tensor)
+  LOAD_SYMBOL(_lantern__weight_int8pack_mm_tensor_tensor_tensor)
   LOAD_SYMBOL(_lantern__sparse_mm_tensor_tensor)
   LOAD_SYMBOL(_lantern__sparse_mm_tensor_tensor_cstringview)
   LOAD_SYMBOL(_lantern__sparse_sparse_matmul_tensor_tensor)
@@ -11178,6 +11549,7 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_native_batch_norm_tensor_tensor_tensor_tensor_tensor_bool_double_double)
   LOAD_SYMBOL(_lantern_native_batch_norm_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_double_double)
   LOAD_SYMBOL(_lantern__native_batch_norm_legit_tensor_tensor_tensor_tensor_tensor_bool_double_double)
+  LOAD_SYMBOL(_lantern__native_batch_norm_legit_no_training_tensor_tensor_tensor_tensor_tensor_double_double)
   LOAD_SYMBOL(_lantern__native_batch_norm_legit_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_double_double)
   LOAD_SYMBOL(_lantern__native_batch_norm_legit_tensor_tensor_tensor_bool_double_double)
   LOAD_SYMBOL(_lantern__native_batch_norm_legit_out_tensor_tensor_tensor_tensor_tensor_tensor_bool_double_double)
@@ -11398,6 +11770,8 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_slice_tensor_intt_intt_intt_intt)
   LOAD_SYMBOL(_lantern_Tensor_slice_tensor_intt_intt_intt_intt)
   LOAD_SYMBOL(_lantern_slice_backward_tensor_intarrayref_intt_intt_intt_intt)
+  LOAD_SYMBOL(_lantern_slice_inverse_tensor_tensor_intt_intt_intt_intt)
+  LOAD_SYMBOL(_lantern_Tensor_slice_inverse_tensor_tensor_intt_intt_intt_intt)
   LOAD_SYMBOL(_lantern_slice_scatter_tensor_tensor_intt_intt_intt_intt)
   LOAD_SYMBOL(_lantern_Tensor_slice_scatter_tensor_tensor_intt_intt_intt_intt)
   LOAD_SYMBOL(_lantern_select_scatter_tensor_tensor_intt_intt)
@@ -11454,6 +11828,8 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_sspaddmm_tensor_tensor_tensor_scalar_scalar)
   LOAD_SYMBOL(_lantern_Tensor_sspaddmm_tensor_tensor_tensor_scalar_scalar)
   LOAD_SYMBOL(_lantern_sspaddmm_out_tensor_tensor_tensor_tensor_scalar_scalar)
+  LOAD_SYMBOL(_lantern__chunk_cat_tensorlist_intt_intt)
+  LOAD_SYMBOL(_lantern__chunk_cat_out_tensor_tensorlist_intt_intt)
   LOAD_SYMBOL(_lantern_stack_tensorlist_intt)
   LOAD_SYMBOL(_lantern_stack_out_tensor_tensorlist_intt)
   LOAD_SYMBOL(_lantern__stack_tensorlist_intt)
@@ -11501,21 +11877,21 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_Tensor_std_tensor_bool)
   LOAD_SYMBOL(_lantern_std_tensor_intarrayref_bool_bool)
   LOAD_SYMBOL(_lantern_Tensor_std_tensor_intarrayref_bool_bool)
-  LOAD_SYMBOL(_lantern_std_tensor_intarrayref_intt_bool)
-  LOAD_SYMBOL(_lantern_Tensor_std_tensor_intarrayref_intt_bool)
+  LOAD_SYMBOL(_lantern_std_tensor_intarrayref_scalar_bool)
+  LOAD_SYMBOL(_lantern_Tensor_std_tensor_intarrayref_scalar_bool)
   LOAD_SYMBOL(_lantern_std_mean_tensor_bool)
   LOAD_SYMBOL(_lantern_std_mean_tensor_intarrayref_bool_bool)
-  LOAD_SYMBOL(_lantern_std_mean_tensor_intarrayref_intt_bool)
+  LOAD_SYMBOL(_lantern_std_mean_tensor_intarrayref_scalar_bool)
   LOAD_SYMBOL(_lantern_std_mean_tensor_dimnamelist_bool_bool)
-  LOAD_SYMBOL(_lantern_std_mean_tensor_dimnamelist_intt_bool)
+  LOAD_SYMBOL(_lantern_std_mean_tensor_dimnamelist_scalar_bool)
   LOAD_SYMBOL(_lantern_std_out_tensor_tensor_intarrayref_bool_bool)
-  LOAD_SYMBOL(_lantern_std_out_tensor_tensor_intarrayref_intt_bool)
+  LOAD_SYMBOL(_lantern_std_out_tensor_tensor_intarrayref_scalar_bool)
   LOAD_SYMBOL(_lantern_std_tensor_dimnamelist_bool_bool)
   LOAD_SYMBOL(_lantern_Tensor_std_tensor_dimnamelist_bool_bool)
   LOAD_SYMBOL(_lantern_std_out_tensor_tensor_dimnamelist_bool_bool)
-  LOAD_SYMBOL(_lantern_std_tensor_dimnamelist_intt_bool)
-  LOAD_SYMBOL(_lantern_Tensor_std_tensor_dimnamelist_intt_bool)
-  LOAD_SYMBOL(_lantern_std_out_tensor_tensor_dimnamelist_intt_bool)
+  LOAD_SYMBOL(_lantern_std_tensor_dimnamelist_scalar_bool)
+  LOAD_SYMBOL(_lantern_Tensor_std_tensor_dimnamelist_scalar_bool)
+  LOAD_SYMBOL(_lantern_std_out_tensor_tensor_dimnamelist_scalar_bool)
   LOAD_SYMBOL(_lantern_prod_tensor_scalartype)
   LOAD_SYMBOL(_lantern_Tensor_prod_tensor_scalartype)
   LOAD_SYMBOL(_lantern_prod_tensor_intt_bool_scalartype)
@@ -11574,10 +11950,21 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern__nested_from_padded_tensor_tensor_bool)
   LOAD_SYMBOL(_lantern_Tensor__nested_tensor_size_tensor)
   LOAD_SYMBOL(_lantern_Tensor__nested_tensor_strides_tensor)
-  LOAD_SYMBOL(_lantern_Tensor__nested_tensor_offsets_tensor)
+  LOAD_SYMBOL(_lantern_Tensor__nested_tensor_storage_offsets_tensor)
   LOAD_SYMBOL(_lantern__nested_from_padded_and_nested_example_tensor_tensor)
-  LOAD_SYMBOL(_lantern__nested_view_from_buffer_tensor_tensor_tensor_intarrayref)
-  LOAD_SYMBOL(_lantern__nested_view_from_buffer_copy_tensor_tensor_tensor_intarrayref)
+  LOAD_SYMBOL(_lantern__nested_view_from_buffer_tensor_tensor_tensor_tensor)
+  LOAD_SYMBOL(_lantern__nested_view_from_buffer_copy_tensor_tensor_tensor_tensor)
+  LOAD_SYMBOL(_lantern__nested_view_from_jagged_tensor_tensor_tensor_tensor_intt_tensor_tensor)
+  LOAD_SYMBOL(_lantern__nested_view_from_jagged_copy_tensor_tensor_tensor_tensor_intt_tensor_tensor)
+  LOAD_SYMBOL(_lantern__nested_get_values_tensor)
+  LOAD_SYMBOL(_lantern__nested_get_values_copy_tensor)
+  LOAD_SYMBOL(_lantern__nested_get_offsets_tensor)
+  LOAD_SYMBOL(_lantern__nested_get_lengths_tensor)
+  LOAD_SYMBOL(_lantern__nested_get_ragged_idx_tensor)
+  LOAD_SYMBOL(_lantern__nested_get_min_seqlen_tensor)
+  LOAD_SYMBOL(_lantern__nested_get_max_seqlen_tensor)
+  LOAD_SYMBOL(_lantern__nested_get_jagged_dummy_tensor)
+  LOAD_SYMBOL(_lantern__nested_compute_contiguous_strides_offsets_tensor)
   LOAD_SYMBOL(_lantern__trilinear_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt)
   LOAD_SYMBOL(_lantern_triplet_margin_loss_tensor_tensor_tensor_double_double_double_bool_intt)
   LOAD_SYMBOL(_lantern_trunc_tensor)
@@ -11606,21 +11993,21 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_Tensor_var_tensor_bool)
   LOAD_SYMBOL(_lantern_var_tensor_intarrayref_bool_bool)
   LOAD_SYMBOL(_lantern_Tensor_var_tensor_intarrayref_bool_bool)
-  LOAD_SYMBOL(_lantern_var_tensor_intarrayref_intt_bool)
-  LOAD_SYMBOL(_lantern_Tensor_var_tensor_intarrayref_intt_bool)
+  LOAD_SYMBOL(_lantern_var_tensor_intarrayref_scalar_bool)
+  LOAD_SYMBOL(_lantern_Tensor_var_tensor_intarrayref_scalar_bool)
   LOAD_SYMBOL(_lantern_var_out_tensor_tensor_intarrayref_bool_bool)
-  LOAD_SYMBOL(_lantern_var_out_tensor_tensor_intarrayref_intt_bool)
+  LOAD_SYMBOL(_lantern_var_out_tensor_tensor_intarrayref_scalar_bool)
   LOAD_SYMBOL(_lantern_var_tensor_dimnamelist_bool_bool)
   LOAD_SYMBOL(_lantern_Tensor_var_tensor_dimnamelist_bool_bool)
   LOAD_SYMBOL(_lantern_var_out_tensor_tensor_dimnamelist_bool_bool)
-  LOAD_SYMBOL(_lantern_var_tensor_dimnamelist_intt_bool)
-  LOAD_SYMBOL(_lantern_Tensor_var_tensor_dimnamelist_intt_bool)
-  LOAD_SYMBOL(_lantern_var_out_tensor_tensor_dimnamelist_intt_bool)
+  LOAD_SYMBOL(_lantern_var_tensor_dimnamelist_scalar_bool)
+  LOAD_SYMBOL(_lantern_Tensor_var_tensor_dimnamelist_scalar_bool)
+  LOAD_SYMBOL(_lantern_var_out_tensor_tensor_dimnamelist_scalar_bool)
   LOAD_SYMBOL(_lantern_var_mean_tensor_bool)
   LOAD_SYMBOL(_lantern_var_mean_tensor_intarrayref_bool_bool)
-  LOAD_SYMBOL(_lantern_var_mean_tensor_intarrayref_intt_bool)
+  LOAD_SYMBOL(_lantern_var_mean_tensor_intarrayref_scalar_bool)
   LOAD_SYMBOL(_lantern_var_mean_tensor_dimnamelist_bool_bool)
-  LOAD_SYMBOL(_lantern_var_mean_tensor_dimnamelist_intt_bool)
+  LOAD_SYMBOL(_lantern_var_mean_tensor_dimnamelist_scalar_bool)
   LOAD_SYMBOL(_lantern_Tensor_view_as_tensor_tensor)
   LOAD_SYMBOL(_lantern_where_tensor_tensor_tensor)
   LOAD_SYMBOL(_lantern_Tensor_where_tensor_tensor_tensor)
@@ -11648,6 +12035,10 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_binomial_tensor_tensor_generator)
   LOAD_SYMBOL(_lantern_native_norm_tensor_scalar)
   LOAD_SYMBOL(_lantern_native_norm_tensor_scalar_intarrayref_bool_scalartype)
+  LOAD_SYMBOL(_lantern__batch_norm_with_update_tensor_tensor_tensor_tensor_tensor_double_double)
+  LOAD_SYMBOL(_lantern__batch_norm_with_update_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_double)
+  LOAD_SYMBOL(_lantern__batch_norm_no_update_tensor_tensor_tensor_tensor_tensor_double_double)
+  LOAD_SYMBOL(_lantern_batch_norm_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_double_stdarraybool_tensor)
   LOAD_SYMBOL(_lantern__sparse_sum_tensor)
   LOAD_SYMBOL(_lantern__sparse_sum_tensor_scalartype)
   LOAD_SYMBOL(_lantern__sparse_sum_tensor_intarrayref)
@@ -11731,6 +12122,9 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern__addmm_activation_out_tensor_tensor_tensor_tensor_scalar_scalar_bool)
   LOAD_SYMBOL(_lantern__addmm_activation_tensor_tensor_tensor_scalar_scalar_bool)
   LOAD_SYMBOL(_lantern_Tensor__addmm_activation_tensor_tensor_tensor_scalar_scalar_bool)
+  LOAD_SYMBOL(_lantern__scaled_mm_tensor_tensor_tensor_tensor_tensor_tensor_scalartype_bool)
+  LOAD_SYMBOL(_lantern__scaled_mm_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_scalartype_bool)
+  LOAD_SYMBOL(_lantern__sparse_compressed_tensor_with_dims_intt_intt_intarrayref_intarrayref_scalartype_tensoroptions)
   LOAD_SYMBOL(_lantern_sparse_compressed_tensor_tensor_tensor_tensor_intarrayref_tensoroptions)
   LOAD_SYMBOL(_lantern_sparse_csr_tensor_tensor_tensor_tensor_intarrayref_tensoroptions)
   LOAD_SYMBOL(_lantern_sparse_csc_tensor_tensor_tensor_tensor_intarrayref_tensoroptions)
@@ -11747,24 +12141,25 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern__sparse_bsr_tensor_unsafe_tensor_tensor_tensor_intarrayref_tensoroptions)
   LOAD_SYMBOL(_lantern__sparse_bsc_tensor_unsafe_tensor_tensor_tensor_intarrayref_tensoroptions)
   LOAD_SYMBOL(_lantern_sparse_coo_tensor_intarrayref_tensoroptions)
-  LOAD_SYMBOL(_lantern_sparse_coo_tensor_tensor_tensor_tensoroptions)
-  LOAD_SYMBOL(_lantern_sparse_coo_tensor_tensor_tensor_intarrayref_tensoroptions)
-  LOAD_SYMBOL(_lantern__sparse_coo_tensor_unsafe_tensor_tensor_intarrayref_tensoroptions)
-  LOAD_SYMBOL(_lantern__validate_sparse_coo_tensor_args_tensor_tensor_intarrayref)
+  LOAD_SYMBOL(_lantern_sparse_coo_tensor_tensor_tensor_tensoroptions_bool)
+  LOAD_SYMBOL(_lantern_sparse_coo_tensor_tensor_tensor_intarrayref_tensoroptions_bool)
+  LOAD_SYMBOL(_lantern__sparse_coo_tensor_unsafe_tensor_tensor_intarrayref_tensoroptions_bool)
+  LOAD_SYMBOL(_lantern__validate_sparse_coo_tensor_args_tensor_tensor_intarrayref_bool)
   LOAD_SYMBOL(_lantern__validate_sparse_compressed_tensor_args_tensor_tensor_tensor_intarrayref_layout)
   LOAD_SYMBOL(_lantern__validate_sparse_csr_tensor_args_tensor_tensor_tensor_intarrayref)
   LOAD_SYMBOL(_lantern__validate_sparse_csc_tensor_args_tensor_tensor_tensor_intarrayref)
   LOAD_SYMBOL(_lantern__validate_sparse_bsr_tensor_args_tensor_tensor_tensor_intarrayref)
   LOAD_SYMBOL(_lantern__validate_sparse_bsc_tensor_args_tensor_tensor_tensor_intarrayref)
   LOAD_SYMBOL(_lantern__sparse_coo_tensor_with_dims_intt_intt_intarrayref_tensoroptions)
-  LOAD_SYMBOL(_lantern__sparse_coo_tensor_with_dims_and_tensors_intt_intt_intarrayref_tensor_tensor_tensoroptions)
+  LOAD_SYMBOL(_lantern__sparse_coo_tensor_with_dims_and_tensors_intt_intt_intarrayref_tensor_tensor_tensoroptions_bool)
   LOAD_SYMBOL(_lantern_Tensor_sparse_resize__tensor_intarrayref_intt_intt)
   LOAD_SYMBOL(_lantern_Tensor_sparse_resize_and_clear__tensor_intarrayref_intt_intt)
   LOAD_SYMBOL(_lantern_Tensor_sparse_mask_tensor_tensor)
+  LOAD_SYMBOL(_lantern_Tensor__sparse_mask_projection_tensor_tensor_bool)
   LOAD_SYMBOL(_lantern__to_cpu_tensorlist)
-  LOAD_SYMBOL(_lantern_Tensor_to_dense_tensor_scalartype)
-  LOAD_SYMBOL(_lantern_Tensor__to_dense_tensor_scalartype)
-  LOAD_SYMBOL(_lantern_to_dense_backward_tensor_tensor)
+  LOAD_SYMBOL(_lantern_Tensor_to_dense_tensor_scalartype_bool)
+  LOAD_SYMBOL(_lantern_Tensor__to_dense_tensor_scalartype_bool)
+  LOAD_SYMBOL(_lantern_to_dense_backward_tensor_tensor_bool)
   LOAD_SYMBOL(_lantern_Tensor_sparse_dim_tensor)
   LOAD_SYMBOL(_lantern_Tensor__dimi_tensor)
   LOAD_SYMBOL(_lantern_Tensor_dense_dim_tensor)
@@ -11790,14 +12185,21 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_unbind_tensor_dimname)
   LOAD_SYMBOL(_lantern_Tensor_unbind_tensor_dimname)
   LOAD_SYMBOL(_lantern_Tensor_to_sparse_tensor_intt)
+  LOAD_SYMBOL(_lantern_Tensor__to_sparse_tensor_intt)
   LOAD_SYMBOL(_lantern_Tensor_to_sparse_tensor_layout_intarrayref_intt)
+  LOAD_SYMBOL(_lantern_Tensor__to_sparse_tensor_layout_intarrayref_intt)
   LOAD_SYMBOL(_lantern_Tensor_to_sparse_csr_tensor_intt)
+  LOAD_SYMBOL(_lantern_Tensor__to_sparse_csr_tensor_intt)
   LOAD_SYMBOL(_lantern_Tensor_to_sparse_csc_tensor_intt)
+  LOAD_SYMBOL(_lantern_Tensor__to_sparse_csc_tensor_intt)
   LOAD_SYMBOL(_lantern_Tensor_to_sparse_bsr_tensor_intarrayref_intt)
+  LOAD_SYMBOL(_lantern_Tensor__to_sparse_bsr_tensor_intarrayref_intt)
   LOAD_SYMBOL(_lantern_Tensor_to_sparse_bsc_tensor_intarrayref_intt)
+  LOAD_SYMBOL(_lantern_Tensor__to_sparse_bsc_tensor_intarrayref_intt)
+  LOAD_SYMBOL(_lantern__to_sparse_semi_structured_tensor)
   LOAD_SYMBOL(_lantern_Tensor_to_mkldnn_tensor_scalartype)
   LOAD_SYMBOL(_lantern_mkldnn_reorder_conv2d_weight_tensor_intarrayref_intarrayref_intarrayref_intt_intarrayref)
-  LOAD_SYMBOL(_lantern_mkldnn_reorder_conv3d_weight_tensor_intarrayref_intarrayref_intarrayref_intt)
+  LOAD_SYMBOL(_lantern_mkldnn_reorder_conv3d_weight_tensor_intarrayref_intarrayref_intarrayref_intt_intarrayref)
   LOAD_SYMBOL(_lantern_to_mkldnn_backward_tensor_tensor)
   LOAD_SYMBOL(_lantern_quantize_per_tensor_dynamic_tensor_scalartype_bool)
   LOAD_SYMBOL(_lantern_quantize_per_tensor_tensor_double_intt_scalartype)
@@ -11904,6 +12306,7 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_Tensor_masked_scatter__tensor_tensor_tensor)
   LOAD_SYMBOL(_lantern_masked_scatter_tensor_tensor_tensor)
   LOAD_SYMBOL(_lantern_Tensor_masked_scatter_tensor_tensor_tensor)
+  LOAD_SYMBOL(_lantern_masked_scatter_backward_tensor_tensor_intarrayref)
   LOAD_SYMBOL(_lantern__masked_softmax_tensor_tensor_intt_intt)
   LOAD_SYMBOL(_lantern__masked_softmax_backward_tensor_tensor_tensor_intt)
   LOAD_SYMBOL(_lantern_Tensor_view_tensor_intarrayref)
@@ -12180,6 +12583,9 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_nonzero_out_tensor_tensor)
   LOAD_SYMBOL(_lantern_nonzero_tensor)
   LOAD_SYMBOL(_lantern_Tensor_nonzero_tensor)
+  LOAD_SYMBOL(_lantern_nonzero_static_out_tensor_tensor_intt_intt)
+  LOAD_SYMBOL(_lantern_nonzero_static_tensor_intt_intt)
+  LOAD_SYMBOL(_lantern_Tensor_nonzero_static_tensor_intt_intt)
   LOAD_SYMBOL(_lantern_nonzero_numpy_tensor)
   LOAD_SYMBOL(_lantern_Tensor_nonzero_numpy_tensor)
   LOAD_SYMBOL(_lantern_argwhere_tensor)
@@ -12339,6 +12745,7 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_remainder_scalar_tensor)
   LOAD_SYMBOL(_lantern_min_tensor)
   LOAD_SYMBOL(_lantern_Tensor_min_tensor)
+  LOAD_SYMBOL(_lantern_min_out_tensor_tensor)
   LOAD_SYMBOL(_lantern_fmin_tensor_tensor)
   LOAD_SYMBOL(_lantern_Tensor_fmin_tensor_tensor)
   LOAD_SYMBOL(_lantern_fmin_out_tensor_tensor_tensor)
@@ -12391,6 +12798,7 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_Tensor_argsort_tensor_intt_bool)
   LOAD_SYMBOL(_lantern_argsort_tensor_bool_intt_bool)
   LOAD_SYMBOL(_lantern_Tensor_argsort_tensor_bool_intt_bool)
+  LOAD_SYMBOL(_lantern_argsort_out_tensor_tensor_bool_intt_bool)
   LOAD_SYMBOL(_lantern_argsort_tensor_dimname_bool)
   LOAD_SYMBOL(_lantern_Tensor_argsort_tensor_dimname_bool)
   LOAD_SYMBOL(_lantern_topk_out_tensor_tensor_tensor_intt_intt_bool_bool)
@@ -12442,57 +12850,70 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern__amp_update_scale__tensor_tensor_tensor_double_double_intt)
   LOAD_SYMBOL(_lantern__foreach_add_tensorlist_scalar)
   LOAD_SYMBOL(_lantern__foreach_add__tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_sub_tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_sub__tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_mul_tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_mul__tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_div_tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_div__tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_clamp_min_tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_clamp_min__tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_clamp_max_tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_clamp_max__tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_maximum_tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_maximum__tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_minimum_tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_minimum__tensorlist_scalar)
   LOAD_SYMBOL(_lantern__foreach_add_tensorlist_tensorlist_scalar)
   LOAD_SYMBOL(_lantern__foreach_add__tensorlist_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_add_tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_add__tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_add_tensorlist_tensor_scalar)
+  LOAD_SYMBOL(_lantern__foreach_add__tensorlist_tensor_scalar)
+  LOAD_SYMBOL(_lantern__foreach_sub_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_sub__tensorlist_scalar)
   LOAD_SYMBOL(_lantern__foreach_sub_tensorlist_tensorlist_scalar)
   LOAD_SYMBOL(_lantern__foreach_sub__tensorlist_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_sub_tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_sub__tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_mul_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_mul__tensorlist_scalar)
   LOAD_SYMBOL(_lantern__foreach_mul_tensorlist_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_mul__tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_mul_tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_mul__tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_mul_tensorlist_tensor)
+  LOAD_SYMBOL(_lantern__foreach_mul__tensorlist_tensor)
+  LOAD_SYMBOL(_lantern__foreach_div_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_div__tensorlist_scalar)
   LOAD_SYMBOL(_lantern__foreach_div_tensorlist_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_div__tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_clamp_min_tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_clamp_min__tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_clamp_max_tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_clamp_max__tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_maximum_tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_maximum__tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_minimum_tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_minimum__tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_add_tensorlist_arrayrefscalar)
-  LOAD_SYMBOL(_lantern__foreach_add__tensorlist_arrayrefscalar)
-  LOAD_SYMBOL(_lantern__foreach_sub_tensorlist_arrayrefscalar)
-  LOAD_SYMBOL(_lantern__foreach_sub__tensorlist_arrayrefscalar)
   LOAD_SYMBOL(_lantern__foreach_div_tensorlist_arrayrefscalar)
   LOAD_SYMBOL(_lantern__foreach_div__tensorlist_arrayrefscalar)
-  LOAD_SYMBOL(_lantern__foreach_mul_tensorlist_arrayrefscalar)
-  LOAD_SYMBOL(_lantern__foreach_mul__tensorlist_arrayrefscalar)
-  LOAD_SYMBOL(_lantern__foreach_clamp_min_tensorlist_arrayrefscalar)
-  LOAD_SYMBOL(_lantern__foreach_clamp_min__tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_div_tensorlist_tensor)
+  LOAD_SYMBOL(_lantern__foreach_div__tensorlist_tensor)
+  LOAD_SYMBOL(_lantern__foreach_clamp_max_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_clamp_max__tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_clamp_max_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_clamp_max__tensorlist_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_clamp_max_tensorlist_arrayrefscalar)
   LOAD_SYMBOL(_lantern__foreach_clamp_max__tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_clamp_min_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_clamp_min__tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_clamp_min_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_clamp_min__tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_clamp_min_tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_clamp_min__tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_maximum_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_maximum__tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_maximum_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_maximum__tensorlist_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_maximum_tensorlist_arrayrefscalar)
   LOAD_SYMBOL(_lantern__foreach_maximum__tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_minimum_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_minimum__tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_minimum_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_minimum__tensorlist_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_minimum_tensorlist_arrayrefscalar)
   LOAD_SYMBOL(_lantern__foreach_minimum__tensorlist_arrayrefscalar)
-  LOAD_SYMBOL(_lantern__foreach_exp_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_zero__tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_exp__tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_sqrt_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_sqrt__tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_tensor)
+  LOAD_SYMBOL(_lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_tensor)
+  LOAD_SYMBOL(_lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_tensor)
+  LOAD_SYMBOL(_lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_tensor)
   LOAD_SYMBOL(_lantern__foreach_abs_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_abs__tensorlist)
   LOAD_SYMBOL(_lantern__foreach_acos_tensorlist)
@@ -12511,10 +12932,20 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern__foreach_erf__tensorlist)
   LOAD_SYMBOL(_lantern__foreach_erfc_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_erfc__tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_exp_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_exp__tensorlist)
   LOAD_SYMBOL(_lantern__foreach_expm1_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_expm1__tensorlist)
   LOAD_SYMBOL(_lantern__foreach_floor_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_floor__tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_frac_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_frac__tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_lerp_tensorlist_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_lerp__tensorlist_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_lerp_tensorlist_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_lerp__tensorlist_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_lgamma_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_lgamma__tensorlist)
   LOAD_SYMBOL(_lantern__foreach_log_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_log__tensorlist)
   LOAD_SYMBOL(_lantern__foreach_log10_tensorlist)
@@ -12523,51 +12954,47 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern__foreach_log1p__tensorlist)
   LOAD_SYMBOL(_lantern__foreach_log2_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_log2__tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_max_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_neg_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_neg__tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_tan_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_tan__tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_tanh_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_tanh__tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_sin_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_sin__tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_sinh_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_sinh__tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_round_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_round__tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_lgamma_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_lgamma__tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_frac_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_frac__tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_norm_tensorlist_scalar_scalartype)
+  LOAD_SYMBOL(_lantern__foreach_pow_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_pow_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_pow_tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_pow_scalar_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_pow__tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_pow__tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_pow__tensorlist_arrayrefscalar)
   LOAD_SYMBOL(_lantern__foreach_reciprocal_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_reciprocal__tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_round_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_round__tensorlist)
   LOAD_SYMBOL(_lantern__foreach_sigmoid_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_sigmoid__tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_sign_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_sign__tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_sin_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_sin__tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_sinh_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_sinh__tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_sqrt_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_sqrt__tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_tan_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_tan__tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_tanh_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_tanh__tensorlist)
   LOAD_SYMBOL(_lantern__foreach_trunc_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_trunc__tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_arrayrefscalar)
-  LOAD_SYMBOL(_lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_tensor)
-  LOAD_SYMBOL(_lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_arrayrefscalar)
-  LOAD_SYMBOL(_lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_tensor)
-  LOAD_SYMBOL(_lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_arrayrefscalar)
-  LOAD_SYMBOL(_lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_tensor)
-  LOAD_SYMBOL(_lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_arrayrefscalar)
-  LOAD_SYMBOL(_lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_tensor)
-  LOAD_SYMBOL(_lantern__foreach_norm_tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_lerp_tensorlist_tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_lerp__tensorlist_tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_lerp_tensorlist_tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_lerp__tensorlist_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_zero__tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_copy__tensorlist_tensorlist_bool)
+  LOAD_SYMBOL(_lantern__foreach_copy_tensorlist_tensorlist_bool)
   LOAD_SYMBOL(_lantern_bucketize_tensor_tensor_bool_bool)
   LOAD_SYMBOL(_lantern_bucketize_out_tensor_tensor_tensor_bool_bool)
   LOAD_SYMBOL(_lantern_bucketize_scalar_tensor_bool_bool)
   LOAD_SYMBOL(_lantern_searchsorted_tensor_tensor_bool_bool_cstringview_tensor)
   LOAD_SYMBOL(_lantern_searchsorted_out_tensor_tensor_tensor_bool_bool_cstringview_tensor)
   LOAD_SYMBOL(_lantern_searchsorted_tensor_scalar_bool_bool_cstringview_tensor)
+  LOAD_SYMBOL(_lantern_searchsorted_out_tensor_tensor_scalar_bool_bool_cstringview_tensor)
   LOAD_SYMBOL(_lantern__convert_indices_from_coo_to_csr_tensor_intt_bool)
   LOAD_SYMBOL(_lantern__convert_indices_from_coo_to_csr_out_tensor_tensor_intt_bool)
   LOAD_SYMBOL(_lantern__convert_indices_from_csr_to_coo_tensor_tensor_bool_bool)
@@ -12998,6 +13425,7 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_Tensor_logdet_tensor)
   LOAD_SYMBOL(_lantern_linalg_eig_tensor)
   LOAD_SYMBOL(_lantern_linalg_eig_out_tensor_tensor_tensor)
+  LOAD_SYMBOL(_lantern__linalg_eigvals_tensor)
   LOAD_SYMBOL(_lantern_linalg_eigvals_tensor)
   LOAD_SYMBOL(_lantern_linalg_eigvals_out_tensor_tensor)
   LOAD_SYMBOL(_lantern__linalg_eigh_tensor_cstringview_bool)
@@ -13057,6 +13485,7 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_linalg_solve_ex_tensor_tensor_bool_bool)
   LOAD_SYMBOL(_lantern_linalg_solve_ex_out_tensor_tensor_tensor_tensor_bool_bool)
   LOAD_SYMBOL(_lantern_linalg_solve_tensor_tensor_bool)
+  LOAD_SYMBOL(_lantern__spsolve_tensor_tensor_bool)
   LOAD_SYMBOL(_lantern_linalg_solve_out_tensor_tensor_tensor_bool)
   LOAD_SYMBOL(_lantern_linalg_tensorinv_tensor_intt)
   LOAD_SYMBOL(_lantern_linalg_tensorinv_out_tensor_tensor_intt)
@@ -13078,6 +13507,7 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_linalg_multi_dot_out_tensor_tensorlist)
   LOAD_SYMBOL(_lantern_nested_to_padded_tensor_tensor_double_intarrayref)
   LOAD_SYMBOL(_lantern__test_serialization_subcmul_tensor_tensor_scalar)
+  LOAD_SYMBOL(_lantern__test_parallel_materialize_tensor_intt_bool)
   LOAD_SYMBOL(_lantern__test_optional_intlist_tensor_intarrayref)
   LOAD_SYMBOL(_lantern__test_optional_filled_intlist_tensor_intarrayref)
   LOAD_SYMBOL(_lantern__test_optional_floatlist_tensor_arrayrefdouble)
@@ -13091,7 +13521,7 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern__test_autograd_multiple_dispatch_view_copy_tensor)
   LOAD_SYMBOL(_lantern_segment_reduce_tensor_cstringview_tensor_tensor_tensor_intt_bool_scalar)
   LOAD_SYMBOL(_lantern__segment_reduce_backward_tensor_tensor_tensor_cstringview_tensor_tensor_intt_scalar)
-  LOAD_SYMBOL(_lantern_pad_sequence_tensorlist_bool_double)
+  LOAD_SYMBOL(_lantern_pad_sequence_tensorlist_bool_double_cstringview)
   LOAD_SYMBOL(_lantern_flatten_dense_tensors_tensorlist)
   LOAD_SYMBOL(_lantern_unflatten_dense_tensors_tensor_tensorlist)
   LOAD_SYMBOL(_lantern__nested_tensor_from_tensor_list_tensorlist_scalartype_layout_device_bool)
@@ -13135,28 +13565,35 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_unfold_copy_tensor_intt_intt_intt)
   LOAD_SYMBOL(_lantern_alias_copy_tensor)
   LOAD_SYMBOL(_lantern_Tensor_to_padded_tensor_tensor_double_intarrayref)
+  LOAD_SYMBOL(_lantern__jagged_to_padded_dense_forward_tensor_tensorlist_intarrayref_double)
+  LOAD_SYMBOL(_lantern__padded_dense_to_jagged_forward_tensor_tensorlist_intt)
   LOAD_SYMBOL(_lantern__nested_tensor_softmax_with_shape_tensor_tensor)
+  LOAD_SYMBOL(_lantern__safe_softmax_tensor_intt_scalartype)
   LOAD_SYMBOL(_lantern__transformer_encoder_layer_fwd_tensor_intt_intt_tensor_tensor_tensor_tensor_bool_bool_double_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt)
   LOAD_SYMBOL(_lantern__native_multi_head_attention_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_tensor_bool_bool_intt)
-  LOAD_SYMBOL(_lantern_scaled_dot_product_attention_tensor_tensor_tensor_tensor_double_bool)
-  LOAD_SYMBOL(_lantern__scaled_dot_product_attention_tensor_tensor_tensor_tensor_double_bool_bool)
-  LOAD_SYMBOL(_lantern__fused_sdp_choice_tensor_tensor_tensor_tensor_double_bool)
-  LOAD_SYMBOL(_lantern__scaled_dot_product_attention_math_tensor_tensor_tensor_tensor_double_bool_tensor)
-  LOAD_SYMBOL(_lantern__scaled_dot_product_flash_attention_tensor_tensor_tensor_double_bool_bool)
-  LOAD_SYMBOL(_lantern__scaled_dot_product_flash_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_intt_intt)
-  LOAD_SYMBOL(_lantern__scaled_dot_product_efficient_attention_tensor_tensor_tensor_bool_bool)
-  LOAD_SYMBOL(_lantern__scaled_dot_product_efficient_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_bool_bool)
-  LOAD_SYMBOL(_lantern__chunk_grad_outputs_efficient_attention_tensor_tensor_tensor_bool)
-  LOAD_SYMBOL(_lantern__flash_attention_forward_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_bool)
-  LOAD_SYMBOL(_lantern__flash_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_intt_intt)
-  LOAD_SYMBOL(_lantern__efficient_attention_forward_tensor_tensor_tensor_tensor_tensor_intt_bool_bool)
-  LOAD_SYMBOL(_lantern__efficient_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_bool_bool)
+  LOAD_SYMBOL(_lantern_scaled_dot_product_attention_tensor_tensor_tensor_tensor_double_bool_double_bool)
+  LOAD_SYMBOL(_lantern__fused_sdp_choice_tensor_tensor_tensor_tensor_double_bool_double_bool)
+  LOAD_SYMBOL(_lantern__scaled_dot_product_attention_math_tensor_tensor_tensor_tensor_double_bool_tensor_double_bool)
+  LOAD_SYMBOL(_lantern__scaled_dot_product_attention_math_for_mps_tensor_tensor_tensor_tensor_double_bool_tensor_double)
+  LOAD_SYMBOL(_lantern__scaled_dot_product_flash_attention_tensor_tensor_tensor_double_bool_bool_double)
+  LOAD_SYMBOL(_lantern__scaled_dot_product_flash_attention_for_cpu_tensor_tensor_tensor_double_bool_tensor_double)
+  LOAD_SYMBOL(_lantern__scaled_dot_product_fused_attention_overrideable_tensor_tensor_tensor_tensor_double_bool_bool_double)
+  LOAD_SYMBOL(_lantern__scaled_dot_product_flash_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_tensor_tensor_double)
+  LOAD_SYMBOL(_lantern__scaled_dot_product_flash_attention_for_cpu_backward_tensor_tensor_tensor_tensor_tensor_tensor_double_bool_tensor_double)
+  LOAD_SYMBOL(_lantern__scaled_dot_product_fused_attention_overrideable_backward_tensor_tensor_tensor_tensor_tensor_stdarraybool_tensor_tensor_tensor_tensor_intt_intt_double_bool_tensor_tensor_double)
+  LOAD_SYMBOL(_lantern__scaled_dot_product_efficient_attention_tensor_tensor_tensor_tensor_bool_double_bool_double)
+  LOAD_SYMBOL(_lantern__scaled_dot_product_efficient_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_stdarraybool_bool_double)
+  LOAD_SYMBOL(_lantern__scaled_dot_product_cudnn_attention_tensor_tensor_tensor_tensor_bool_double_bool_bool_double)
+  LOAD_SYMBOL(_lantern__scaled_dot_product_cudnn_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_double)
+  LOAD_SYMBOL(_lantern__flash_attention_forward_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_bool_double_intt_intt_tensor_tensor)
+  LOAD_SYMBOL(_lantern__flash_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_tensor_tensor_double_intt_intt)
+  LOAD_SYMBOL(_lantern__efficient_attention_forward_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_intt_bool_double_tensor_intt)
+  LOAD_SYMBOL(_lantern__efficient_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_tensor_double_tensor_tensor_intt_bool_double_intt_intt_bool)
   LOAD_SYMBOL(_lantern__triton_scaled_dot_attention_tensor_tensor_tensor_double)
+  LOAD_SYMBOL(_lantern__fill_mem_eff_dropout_mask__tensor_double_intt_intt)
   LOAD_SYMBOL(_lantern__triton_multi_head_attention_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_tensor)
   LOAD_SYMBOL(_lantern_special_airy_ai_tensor)
   LOAD_SYMBOL(_lantern_special_airy_ai_out_tensor_tensor)
-  LOAD_SYMBOL(_lantern__transformer_decoder_only_layer_fwd_tensor_intt_intt_tensor_tensor_tensor_tensor_bool_bool_double_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor)
-  LOAD_SYMBOL(_lantern__native_decoder_only_multi_head_attention_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_bool)
   LOAD_SYMBOL(_lantern_special_bessel_j0_tensor)
   LOAD_SYMBOL(_lantern_special_bessel_j0_out_tensor_tensor)
   LOAD_SYMBOL(_lantern_special_bessel_j1_tensor)
@@ -13253,7 +13690,13 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_special_spherical_bessel_j0_out_tensor_tensor)
   LOAD_SYMBOL(_lantern__foobar_tensor_bool_bool_bool)
   LOAD_SYMBOL(_lantern__fused_adam__tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor)
+  LOAD_SYMBOL(_lantern__fused_adam__tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor)
   LOAD_SYMBOL(_lantern__fused_adamw__tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor)
+  LOAD_SYMBOL(_lantern__fused_adamw__tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor)
+  LOAD_SYMBOL(_lantern__fused_sgd__tensorlist_tensorlist_tensorlist_double_double_double_double_bool_bool_bool_tensor_tensor)
+  LOAD_SYMBOL(_lantern__fused_sgd__tensorlist_tensorlist_tensorlist_double_double_tensor_double_bool_bool_bool_tensor_tensor)
+  LOAD_SYMBOL(_lantern__fused_adagrad__tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_tensor_tensor)
+  LOAD_SYMBOL(_lantern__propagate_xla_data_tensor_tensor)
   LOAD_SYMBOL(_lantern__new_zeros_with_same_feature_meta_out_tensor_tensor_tensor_intt)
   LOAD_SYMBOL(_lantern__cudnn_ctc_loss_out_tensor_tensor_tensor_tensor_intarrayref_intarrayref_intt_bool_bool)
   LOAD_SYMBOL(_lantern__cudnn_rnn_flatten_weight_out_tensor_tensorlist_intt_intt_intt_intt_intt_intt_bool_bool)
@@ -13268,6 +13711,7 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern__add_relu_out_tensor_tensor_scalar_scalar)
   LOAD_SYMBOL(_lantern_add_out_tensor_tensor_scalar_scalar)
   LOAD_SYMBOL(_lantern_affine_grid_generator_out_tensor_tensor_intarrayref_bool)
+  LOAD_SYMBOL(_lantern__test_functorch_fallback_out_tensor_tensor_tensor)
   LOAD_SYMBOL(_lantern_bartlett_window_out_tensor_intt)
   LOAD_SYMBOL(_lantern_bartlett_window_out_tensor_intt_bool)
   LOAD_SYMBOL(_lantern_quantized_batch_norm_out_tensor_tensor_tensor_tensor_tensor_tensor_double_double_intt)
@@ -13295,7 +13739,6 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_cudnn_affine_grid_generator_backward_out_tensor_tensor_intt_intt_intt_intt)
   LOAD_SYMBOL(_lantern_cudnn_batch_norm_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_double_double)
   LOAD_SYMBOL(_lantern_cudnn_batch_norm_backward_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_tensor)
-  LOAD_SYMBOL(_lantern_cudnn_convolution_out_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intt_bool_bool_bool)
   LOAD_SYMBOL(_lantern_cudnn_convolution_transpose_out_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt_bool_bool_bool)
   LOAD_SYMBOL(_lantern__mps_convolution_transpose_out_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt)
   LOAD_SYMBOL(_lantern_mps_convolution_transpose_backward_out_tensor_tensor_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt_stdarraybool)
@@ -13319,6 +13762,7 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern__embedding_bag_dense_backward_out_tensor_tensor_tensor_tensor_tensor_tensor_intt_bool_intt_tensor_intt)
   LOAD_SYMBOL(_lantern__embedding_bag_per_sample_weights_backward_out_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt)
   LOAD_SYMBOL(_lantern_empty_out_tensor_intarrayref_dimnamelist_memoryformat)
+  LOAD_SYMBOL(_lantern_empty_permuted_out_tensor_intarrayref_intarrayref)
   LOAD_SYMBOL(_lantern_new_empty_out_tensor_tensor_intarrayref)
   LOAD_SYMBOL(_lantern_new_empty_strided_out_tensor_tensor_intarrayref_intarrayref)
   LOAD_SYMBOL(_lantern_new_full_out_tensor_tensor_intarrayref_scalar)
@@ -13335,6 +13779,7 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_empty_strided_out_tensor_intarrayref_intarrayref)
   LOAD_SYMBOL(_lantern_fill_out_tensor_tensor_scalar)
   LOAD_SYMBOL(_lantern_fill_out_tensor_tensor_tensor)
+  LOAD_SYMBOL(_lantern_floor_divide_out_tensor_tensor_scalar)
   LOAD_SYMBOL(_lantern_full_out_tensor_intarrayref_scalar_dimnamelist)
   LOAD_SYMBOL(_lantern_full_like_out_tensor_tensor_scalar_memoryformat)
   LOAD_SYMBOL(_lantern_from_file_out_tensor_cstringview_bool_intt)
@@ -13354,9 +13799,9 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_kaiser_window_out_tensor_intt_bool_double)
   LOAD_SYMBOL(_lantern_native_group_norm_out_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_intt_intt_double)
   LOAD_SYMBOL(_lantern_native_group_norm_backward_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_intt_intt_stdarraybool)
-  LOAD_SYMBOL(_lantern_index_put_out_tensor_tensor_constclistcoptionaltensor_tensor_bool)
-  LOAD_SYMBOL(_lantern__index_put_impl_out_tensor_tensor_constclistcoptionaltensor_tensor_bool_bool)
-  LOAD_SYMBOL(_lantern__index_put_impl_tensor_constclistcoptionaltensor_tensor_bool_bool)
+  LOAD_SYMBOL(_lantern_index_put_out_tensor_tensor_constcliststdoptionaltensor_tensor_bool)
+  LOAD_SYMBOL(_lantern__index_put_impl_out_tensor_tensor_constcliststdoptionaltensor_tensor_bool_bool)
+  LOAD_SYMBOL(_lantern__index_put_impl_tensor_constcliststdoptionaltensor_tensor_bool_bool)
   LOAD_SYMBOL(_lantern_isnan_out_tensor_tensor)
   LOAD_SYMBOL(_lantern_native_layer_norm_out_tensor_tensor_tensor_tensor_intarrayref_tensor_tensor_double)
   LOAD_SYMBOL(_lantern_native_layer_norm_backward_out_tensor_tensor_tensor_tensor_tensor_intarrayref_tensor_tensor_tensor_tensor_stdarraybool)
@@ -13375,6 +13820,7 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_mkldnn_max_pool3d_backward_out_tensor_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool)
   LOAD_SYMBOL(_lantern_quantized_max_pool1d_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool)
   LOAD_SYMBOL(_lantern_quantized_max_pool2d_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool)
+  LOAD_SYMBOL(_lantern_quantized_max_pool3d_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool)
   LOAD_SYMBOL(_lantern_median_out_tensor_tensor)
   LOAD_SYMBOL(_lantern_nanmedian_out_tensor_tensor)
   LOAD_SYMBOL(_lantern__mps_convolution_out_tensor_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intt)
@@ -13392,6 +13838,7 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern__sparse_sparse_matmul_out_tensor_tensor_tensor)
   LOAD_SYMBOL(_lantern_mul_out_tensor_tensor_scalar)
   LOAD_SYMBOL(_lantern__native_batch_norm_legit_functional_tensor_tensor_tensor_tensor_tensor_bool_double_double)
+  LOAD_SYMBOL(_lantern__native_batch_norm_legit_no_training_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_double)
   LOAD_SYMBOL(_lantern_batch_norm_stats_out_tensor_tensor_tensor_double)
   LOAD_SYMBOL(_lantern_batch_norm_gather_stats_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_double_intt)
   LOAD_SYMBOL(_lantern_batch_norm_gather_stats_with_counts_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_double_tensor)
@@ -13434,7 +13881,7 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_unsafe_split_out_tensorlist_tensor_intt_intt)
   LOAD_SYMBOL(_lantern_unsafe_split_with_sizes_out_tensorlist_tensor_intarrayref_intt)
   LOAD_SYMBOL(_lantern_sum_out_tensor_tensor_scalartype)
-  LOAD_SYMBOL(_lantern_std_mean_out_tensor_tensor_tensor_intarrayref_intt_bool)
+  LOAD_SYMBOL(_lantern_std_mean_out_tensor_tensor_tensor_intarrayref_scalar_bool)
   LOAD_SYMBOL(_lantern_prod_out_tensor_tensor_scalartype)
   LOAD_SYMBOL(_lantern__mkldnn_transpose_out_tensor_tensor_intt_intt)
   LOAD_SYMBOL(_lantern_flip_out_tensor_tensor_intarrayref)
@@ -13445,8 +13892,11 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern__nested_from_padded_out_tensor_tensor_tensor_bool)
   LOAD_SYMBOL(_lantern__nested_tensor_size_out_tensor_tensor)
   LOAD_SYMBOL(_lantern__nested_tensor_strides_out_tensor_tensor)
+  LOAD_SYMBOL(_lantern__nested_tensor_storage_offsets_out_tensor_tensor)
   LOAD_SYMBOL(_lantern__nested_from_padded_and_nested_example_out_tensor_tensor_tensor)
-  LOAD_SYMBOL(_lantern__nested_view_from_buffer_copy_out_tensor_tensor_tensor_tensor_intarrayref)
+  LOAD_SYMBOL(_lantern__nested_view_from_buffer_copy_out_tensor_tensor_tensor_tensor_tensor)
+  LOAD_SYMBOL(_lantern__nested_view_from_jagged_copy_out_tensor_tensor_tensor_tensor_tensor_intt_tensor_tensor)
+  LOAD_SYMBOL(_lantern__nested_get_values_copy_out_tensor_tensor)
   LOAD_SYMBOL(_lantern__trilinear_out_tensor_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt)
   LOAD_SYMBOL(_lantern__unique_out_tensor_tensor_tensor_bool_bool)
   LOAD_SYMBOL(_lantern_unique_dim_out_tensor_tensor_tensor_tensor_intt_bool_bool_bool)
@@ -13454,7 +13904,7 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_unique_dim_consecutive_out_tensor_tensor_tensor_tensor_intt_bool_bool)
   LOAD_SYMBOL(_lantern__unique2_out_tensor_tensor_tensor_tensor_bool_bool_bool)
   LOAD_SYMBOL(_lantern__unsafe_view_out_tensor_tensor_intarrayref)
-  LOAD_SYMBOL(_lantern_var_mean_out_tensor_tensor_tensor_intarrayref_intt_bool)
+  LOAD_SYMBOL(_lantern_var_mean_out_tensor_tensor_tensor_intarrayref_scalar_bool)
   LOAD_SYMBOL(_lantern__weight_norm_interface_out_tensor_tensor_tensor_tensor_intt)
   LOAD_SYMBOL(_lantern__weight_norm_interface_backward_out_tensor_tensor_tensor_tensor_tensor_tensor_intt)
   LOAD_SYMBOL(_lantern_zeros_out_tensor_intarrayref_dimnamelist)
@@ -13468,6 +13918,8 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern_binomial_out_tensor_tensor_tensor_generator)
   LOAD_SYMBOL(_lantern_native_norm_out_tensor_tensor_scalar)
   LOAD_SYMBOL(_lantern_native_norm_out_tensor_tensor_scalar_intarrayref_bool_scalartype)
+  LOAD_SYMBOL(_lantern__batch_norm_with_update_functional_tensor_tensor_tensor_tensor_tensor_double_double)
+  LOAD_SYMBOL(_lantern__batch_norm_no_update_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_double)
   LOAD_SYMBOL(_lantern__sparse_sum_out_tensor_tensor_intarrayref)
   LOAD_SYMBOL(_lantern__sparse_sum_backward_out_tensor_tensor_tensor_intarrayref)
   LOAD_SYMBOL(_lantern__sparse_csr_sum_out_tensor_tensor_intarrayref_bool_scalartype)
@@ -13492,27 +13944,28 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern__sparse_addmm_out_tensor_tensor_tensor_tensor_scalar_scalar)
   LOAD_SYMBOL(_lantern_sparse_coo_tensor_out_tensor_intarrayref)
   LOAD_SYMBOL(_lantern__sparse_coo_tensor_with_dims_out_tensor_intt_intt_intarrayref)
-  LOAD_SYMBOL(_lantern__sparse_coo_tensor_with_dims_and_tensors_out_tensor_intt_intt_intarrayref_tensor_tensor)
+  LOAD_SYMBOL(_lantern__sparse_coo_tensor_with_dims_and_tensors_out_tensor_intt_intt_intarrayref_tensor_tensor_bool)
   LOAD_SYMBOL(_lantern_sparse_resize_out_tensor_tensor_intarrayref_intt_intt)
   LOAD_SYMBOL(_lantern_sparse_resize_tensor_intarrayref_intt_intt)
   LOAD_SYMBOL(_lantern_sparse_resize_and_clear_out_tensor_tensor_intarrayref_intt_intt)
   LOAD_SYMBOL(_lantern_sparse_resize_and_clear_tensor_intarrayref_intt_intt)
   LOAD_SYMBOL(_lantern_sparse_mask_out_tensor_tensor_tensor)
-  LOAD_SYMBOL(_lantern__to_dense_out_tensor_tensor_scalartype)
+  LOAD_SYMBOL(_lantern__sparse_mask_projection_out_tensor_tensor_tensor_bool)
+  LOAD_SYMBOL(_lantern__to_dense_out_tensor_tensor_scalartype_bool)
   LOAD_SYMBOL(_lantern__coalesce_out_tensor_tensor)
   LOAD_SYMBOL(_lantern__coalesced_out_tensor_tensor_bool)
   LOAD_SYMBOL(_lantern__coalesced_tensor_bool)
   LOAD_SYMBOL(_lantern_copy_sparse_to_sparse_out_tensor_tensor_tensor_bool)
   LOAD_SYMBOL(_lantern_copy_sparse_to_sparse_tensor_tensor_bool)
-  LOAD_SYMBOL(_lantern_to_sparse_out_tensor_tensor_intt)
-  LOAD_SYMBOL(_lantern_to_sparse_out_tensor_tensor_layout_intarrayref_intt)
-  LOAD_SYMBOL(_lantern_to_sparse_csr_out_tensor_tensor_intt)
-  LOAD_SYMBOL(_lantern_to_sparse_csc_out_tensor_tensor_intt)
-  LOAD_SYMBOL(_lantern_to_sparse_bsr_out_tensor_tensor_intarrayref_intt)
-  LOAD_SYMBOL(_lantern_to_sparse_bsc_out_tensor_tensor_intarrayref_intt)
+  LOAD_SYMBOL(_lantern__to_sparse_out_tensor_tensor_intt)
+  LOAD_SYMBOL(_lantern__to_sparse_out_tensor_tensor_layout_intarrayref_intt)
+  LOAD_SYMBOL(_lantern__to_sparse_csr_out_tensor_tensor_intt)
+  LOAD_SYMBOL(_lantern__to_sparse_csc_out_tensor_tensor_intt)
+  LOAD_SYMBOL(_lantern__to_sparse_bsr_out_tensor_tensor_intarrayref_intt)
+  LOAD_SYMBOL(_lantern__to_sparse_bsc_out_tensor_tensor_intarrayref_intt)
   LOAD_SYMBOL(_lantern_to_mkldnn_out_tensor_tensor_scalartype)
   LOAD_SYMBOL(_lantern_mkldnn_reorder_conv2d_weight_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intt_intarrayref)
-  LOAD_SYMBOL(_lantern_mkldnn_reorder_conv3d_weight_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intt)
+  LOAD_SYMBOL(_lantern_mkldnn_reorder_conv3d_weight_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intt_intarrayref)
   LOAD_SYMBOL(_lantern_quantize_per_tensor_dynamic_out_tensor_tensor_scalartype_bool)
   LOAD_SYMBOL(_lantern_quantize_per_tensor_out_tensor_tensor_double_intt_scalartype)
   LOAD_SYMBOL(_lantern_quantize_per_tensor_out_tensor_tensor_tensor_tensor_scalartype)
@@ -13592,7 +14045,6 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern__histogramdd_from_bin_cts_out_tensor_tensor_intarrayref_arrayrefdouble_tensor_bool)
   LOAD_SYMBOL(_lantern__histogramdd_from_bin_tensors_out_tensor_tensor_tensorlist_tensor_bool)
   LOAD_SYMBOL(_lantern_remainder_out_tensor_scalar_tensor)
-  LOAD_SYMBOL(_lantern_argsort_out_tensor_tensor_bool_intt_bool)
   LOAD_SYMBOL(_lantern_unfold_backward_out_tensor_tensor_intarrayref_intt_intt_intt)
   LOAD_SYMBOL(_lantern_normal_out_tensor_tensor_double_double_generator)
   LOAD_SYMBOL(_lantern__amp_foreach_non_finite_check_and_unscale_out_tensorlist_tensorlist_tensor_tensor)
@@ -13600,33 +14052,38 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern__amp_update_scale_out_tensor_tensor_tensor_tensor_double_double_intt)
   LOAD_SYMBOL(_lantern__amp_update_scale_tensor_tensor_tensor_double_double_intt)
   LOAD_SYMBOL(_lantern__foreach_add_out_tensorlist_tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_sub_out_tensorlist_tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_mul_out_tensorlist_tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_div_out_tensorlist_tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_clamp_min_out_tensorlist_tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_clamp_max_out_tensorlist_tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_maximum_out_tensorlist_tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_minimum_out_tensorlist_tensorlist_scalar)
   LOAD_SYMBOL(_lantern__foreach_add_out_tensorlist_tensorlist_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_add_out_tensorlist_tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_add_out_tensorlist_tensorlist_tensor_scalar)
+  LOAD_SYMBOL(_lantern__foreach_sub_out_tensorlist_tensorlist_scalar)
   LOAD_SYMBOL(_lantern__foreach_sub_out_tensorlist_tensorlist_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_sub_out_tensorlist_tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_mul_out_tensorlist_tensorlist_scalar)
   LOAD_SYMBOL(_lantern__foreach_mul_out_tensorlist_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_mul_out_tensorlist_tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_mul_out_tensorlist_tensorlist_tensor)
+  LOAD_SYMBOL(_lantern__foreach_div_out_tensorlist_tensorlist_scalar)
   LOAD_SYMBOL(_lantern__foreach_div_out_tensorlist_tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_clamp_min_out_tensorlist_tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_clamp_max_out_tensorlist_tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_maximum_out_tensorlist_tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_minimum_out_tensorlist_tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_add_out_tensorlist_tensorlist_arrayrefscalar)
-  LOAD_SYMBOL(_lantern__foreach_sub_out_tensorlist_tensorlist_arrayrefscalar)
   LOAD_SYMBOL(_lantern__foreach_div_out_tensorlist_tensorlist_arrayrefscalar)
-  LOAD_SYMBOL(_lantern__foreach_mul_out_tensorlist_tensorlist_arrayrefscalar)
-  LOAD_SYMBOL(_lantern__foreach_clamp_min_out_tensorlist_tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_div_out_tensorlist_tensorlist_tensor)
+  LOAD_SYMBOL(_lantern__foreach_clamp_max_out_tensorlist_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_clamp_max_out_tensorlist_tensorlist_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_clamp_max_out_tensorlist_tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_clamp_min_out_tensorlist_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_clamp_min_out_tensorlist_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_clamp_min_out_tensorlist_tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_maximum_out_tensorlist_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_maximum_out_tensorlist_tensorlist_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_maximum_out_tensorlist_tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_minimum_out_tensorlist_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_minimum_out_tensorlist_tensorlist_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_minimum_out_tensorlist_tensorlist_arrayrefscalar)
-  LOAD_SYMBOL(_lantern__foreach_exp_out_tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_zero_out_tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_zero_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_sqrt_out_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_tensor)
+  LOAD_SYMBOL(_lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_arrayrefscalar)
+  LOAD_SYMBOL(_lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_tensor)
   LOAD_SYMBOL(_lantern__foreach_abs_out_tensorlist_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_acos_out_tensorlist_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_asin_out_tensorlist_tensorlist)
@@ -13636,34 +14093,37 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern__foreach_cosh_out_tensorlist_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_erf_out_tensorlist_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_erfc_out_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_exp_out_tensorlist_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_expm1_out_tensorlist_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_floor_out_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_frac_out_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_lerp_out_tensorlist_tensorlist_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_lerp_out_tensorlist_tensorlist_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_lgamma_out_tensorlist_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_log_out_tensorlist_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_log10_out_tensorlist_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_log1p_out_tensorlist_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_log2_out_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_max_out_tensorlist_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_neg_out_tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_tan_out_tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_tanh_out_tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_sin_out_tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_sinh_out_tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_round_out_tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_lgamma_out_tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_frac_out_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_norm_out_tensorlist_tensorlist_scalar_scalartype)
+  LOAD_SYMBOL(_lantern__foreach_pow_out_tensorlist_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_pow_out_tensorlist_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_pow_out_tensorlist_tensorlist_arrayrefscalar)
   LOAD_SYMBOL(_lantern__foreach_reciprocal_out_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_round_out_tensorlist_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_sigmoid_out_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_sign_out_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_sin_out_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_sinh_out_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_sqrt_out_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_tan_out_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_tanh_out_tensorlist_tensorlist)
   LOAD_SYMBOL(_lantern__foreach_trunc_out_tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_arrayrefscalar)
-  LOAD_SYMBOL(_lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_tensor)
-  LOAD_SYMBOL(_lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_arrayrefscalar)
-  LOAD_SYMBOL(_lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_tensor)
-  LOAD_SYMBOL(_lantern__foreach_norm_out_tensorlist_tensorlist_scalar)
-  LOAD_SYMBOL(_lantern__foreach_lerp_out_tensorlist_tensorlist_tensorlist_tensorlist)
-  LOAD_SYMBOL(_lantern__foreach_lerp_out_tensorlist_tensorlist_tensorlist_scalar)
+  LOAD_SYMBOL(_lantern__foreach_zero_out_tensorlist_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_zero_tensorlist)
+  LOAD_SYMBOL(_lantern__foreach_copy_out_tensorlist_tensorlist_tensorlist_bool)
   LOAD_SYMBOL(_lantern_bucketize_out_tensor_scalar_tensor_bool_bool)
-  LOAD_SYMBOL(_lantern_searchsorted_out_tensor_tensor_scalar_bool_bool_cstringview_tensor)
   LOAD_SYMBOL(_lantern_glu_jvp_out_tensor_tensor_tensor_tensor_intt)
   LOAD_SYMBOL(_lantern_glu_backward_jvp_out_tensor_tensor_tensor_tensor_tensor_tensor_intt)
   LOAD_SYMBOL(_lantern_hardswish_backward_out_tensor_tensor_tensor)
@@ -13726,13 +14186,21 @@ LOAD_SYMBOL(_lantern_buffer_from_tensor);
   LOAD_SYMBOL(_lantern__native_multi_head_attention_out_tensor_tensor_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_tensor_bool_bool_intt)
   LOAD_SYMBOL(_lantern__triton_scaled_dot_attention_out_tensor_tensor_tensor_tensor_double)
   LOAD_SYMBOL(_lantern__triton_multi_head_attention_out_tensor_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_tensor)
-  LOAD_SYMBOL(_lantern__transformer_decoder_only_layer_fwd_out_tensor_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_bool_bool_double_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor)
-  LOAD_SYMBOL(_lantern__native_decoder_only_multi_head_attention_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_bool)
   LOAD_SYMBOL(_lantern__foobar_out_tensor_tensor_bool_bool_bool)
   LOAD_SYMBOL(_lantern__fused_adam_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor)
   LOAD_SYMBOL(_lantern__fused_adam_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor)
+  LOAD_SYMBOL(_lantern__fused_adam_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor)
+  LOAD_SYMBOL(_lantern__fused_adam_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor)
   LOAD_SYMBOL(_lantern__fused_adamw_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor)
   LOAD_SYMBOL(_lantern__fused_adamw_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor)
+  LOAD_SYMBOL(_lantern__fused_adamw_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor)
+  LOAD_SYMBOL(_lantern__fused_adamw_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor)
+  LOAD_SYMBOL(_lantern__fused_sgd_out_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_bool_bool_tensor_tensor)
+  LOAD_SYMBOL(_lantern__fused_sgd_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_bool_bool_tensor_tensor)
+  LOAD_SYMBOL(_lantern__fused_sgd_out_tensorlist_tensorlist_tensorlist_tensorlist_double_double_tensor_double_bool_bool_bool_tensor_tensor)
+  LOAD_SYMBOL(_lantern__fused_sgd_tensorlist_tensorlist_tensorlist_double_double_tensor_double_bool_bool_bool_tensor_tensor)
+  LOAD_SYMBOL(_lantern__fused_adagrad_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_tensor_tensor)
+  LOAD_SYMBOL(_lantern__fused_adagrad_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_tensor_tensor)
   /* Autogen Symbols -- End */
 
   return true;
diff --git a/src/lantern/include/lantern/types.h b/src/lantern/include/lantern/types.h
index 111aabfff8..9f606c9b95 100644
--- a/src/lantern/include/lantern/types.h
+++ b/src/lantern/include/lantern/types.h
@@ -1,3 +1,4 @@
+#include <c10/core/Device.h>
 #include <torch/torch.h>
 
 // https://pt.stackoverflow.com/a/438284/6036
@@ -156,6 +157,7 @@ LANTERN_FROM_RAW_DECL(SymInt, c10::SymInt)
 LANTERN_FROM_RAW_DECL(SymIntArrayRef, c10::SymIntArrayRef)
 LANTERN_FROM_RAW_DECL(FunctionSchema, c10::FunctionSchema)
 LANTERN_FROM_RAW_DECL(Argument, c10::Argument)
+LANTERN_FROM_RAW_DECL(DeviceIndex, at::DeviceIndex)
 
 namespace optional {
 LANTERN_FROM_RAW_DECL(DimnameList, c10::optional<torch::DimnameList>)
@@ -589,6 +591,7 @@ LANTERN_FROM_RAW(SymInt, c10::SymInt)
 LANTERN_FROM_RAW_WRAPPED(SymIntArrayRef, self_contained::SymIntArrayRef, c10::SymIntArrayRef)
 LANTERN_FROM_RAW(FunctionSchema, c10::FunctionSchema)
 LANTERN_FROM_RAW(Argument, c10::Argument)
+LANTERN_FROM_RAW(DeviceIndex, at::DeviceIndex)
 
 namespace optional {
 LANTERN_FROM_RAW_WRAPPED(DimnameList, self_contained::optional::DimnameList,
diff --git a/src/lantern/src/Allocator.cpp b/src/lantern/src/Allocator.cpp
index b925cea871..0b497ca43c 100644
--- a/src/lantern/src/Allocator.cpp
+++ b/src/lantern/src/Allocator.cpp
@@ -40,7 +40,7 @@ namespace c10 {
 struct LanternCPUAllocator final : at::Allocator {
   LanternCPUAllocator() {}
   ~LanternCPUAllocator() override {}
-  at::DataPtr allocate(size_t nbytes) const override {
+  at::DataPtr allocate(size_t nbytes) override {
     void* data;
 
     {
@@ -90,6 +90,10 @@ struct LanternCPUAllocator final : at::Allocator {
     free_cpu(ptr);
   }
 
+  void copy_data(void* dest, const void* src, std::size_t count) const override {
+    default_copy_data(dest, src, count);
+  }
+
   at::DeleterFnPtr raw_deleter() const override { return &ReportAndDelete; }
 };
 
diff --git a/src/lantern/src/Amp.cpp b/src/lantern/src/Amp.cpp
index 1586d72a23..03082be29b 100644
--- a/src/lantern/src/Amp.cpp
+++ b/src/lantern/src/Amp.cpp
@@ -1,3 +1,5 @@
+#include <c10/core/Backend.h>
+#include <c10/core/DeviceType.h>
 #define LANTERN_BUILD
 #include <torch/torch.h>
 #include <ATen/autocast_mode.h>
@@ -6,39 +8,39 @@
 
 bool _lantern_amp_is_autocast_gpu_enabled() {
   LANTERN_FUNCTION_START
-  return at::autocast::is_enabled();
+  return at::autocast::is_autocast_enabled(torch::DeviceType::CUDA);
   LANTERN_FUNCTION_END
 }
 
 bool _lantern_amp_is_autocast_cpu_enabled() {
   LANTERN_FUNCTION_START
-  return at::autocast::is_cpu_enabled();
+  return at::autocast::is_autocast_enabled(torch::DeviceType::CPU);
   LANTERN_FUNCTION_END
 }
 
 void _lantern_amp_autocast_set_gpu_enabled(bool enabled) {
   LANTERN_FUNCTION_START
-  at::autocast::set_enabled(enabled);
+  at::autocast::set_autocast_enabled(torch::DeviceType::CUDA, enabled);
   LANTERN_FUNCTION_END_VOID
 }
 
 void _lantern_amp_autocast_set_cpu_enabled(bool enabled) {
   LANTERN_FUNCTION_START
-  at::autocast::set_cpu_enabled(enabled);
+  at::autocast::set_autocast_enabled(torch::DeviceType::CPU, enabled);
   LANTERN_FUNCTION_END_VOID
 }
 
 void _lantern_amp_autocast_set_gpu_dtype (void* dtype) {
     LANTERN_FUNCTION_START
     auto scalar_type = from_raw::ScalarType(dtype);
-    at::autocast::set_autocast_gpu_dtype(scalar_type);
+    at::autocast::set_autocast_dtype(torch::DeviceType::CUDA,scalar_type);
     LANTERN_FUNCTION_END_VOID
 }
 
 void _lantern_amp_autocast_set_cpu_dtype (void* dtype) {
     LANTERN_FUNCTION_START
     auto scalar_type = from_raw::ScalarType(dtype);
-    at::autocast::set_autocast_cpu_dtype(scalar_type);
+    at::autocast::set_autocast_dtype(torch::DeviceType::CPU, scalar_type);
     LANTERN_FUNCTION_END_VOID
 }
 
@@ -56,16 +58,16 @@ bool _lantern_amp_autocast_is_cache_enabled() {
 
 void* _lantern_amp_autocast_get_gpu_dtype () {
     LANTERN_FUNCTION_START
-    auto scalar_type = at::autocast::get_autocast_gpu_dtype();
+    auto scalar_type = at::autocast::get_autocast_dtype(torch::DeviceType::CUDA);
     return make_raw::ScalarType(scalar_type);
-    LANTERN_FUNCTION_END_VOID
+    LANTERN_FUNCTION_END
 }
 
 void* _lantern_amp_autocast_get_cpu_dtype () {
     LANTERN_FUNCTION_START
-    auto scalar_type = at::autocast::get_autocast_cpu_dtype();
+    auto scalar_type = at::autocast::get_autocast_dtype(torch::DeviceType::CPU);
     return make_raw::ScalarType(scalar_type);
-    LANTERN_FUNCTION_END_VOID
+    LANTERN_FUNCTION_END
 }
 
 void _lantern_amp_autocast_increment_nesting () {
diff --git a/src/lantern/src/Function.cpp b/src/lantern/src/Function.cpp
index 4eaaa94e80..6e675e816f 100644
--- a/src/lantern/src/Function.cpp
+++ b/src/lantern/src/Function.cpp
@@ -1,7 +1,9 @@
 #include "Function.h"
 
+#include <c10/core/TensorImpl.h>
 #include <torch/csrc/autograd/functions/accumulate_grad.h>
 #include <torch/torch.h>
+#include <unordered_set>
 
 #include "Autograd.h"
 #include "lantern/lantern.h"
@@ -64,13 +66,18 @@ variable_list LanternFunction::apply(variable_list args, void *forward_,
     LANTERN_ERROR_HANDLE
   }
 
+  const std::unordered_set<TensorImpl *> set;
+
   auto wrapped_outputs = _wrap_outputs(
       args, node->ctx_.get_non_differentiable(), node->ctx_.get_dirty(),
       to_optional(outputs), is_executable ? node : nullptr,
       // TODO: not sure what this function should actually do. Seems to be
       // related to functorch & co. Hopefully it's not used by the currrent
       // code.
-      [](variable_list x, variable_list y) { return x; });
+      [](variable_list x, variable_list y) { return x; },
+      set,
+      [](torch::Tensor x) {return x;}
+    );
 
   node->output_info_.reserve(wrapped_outputs.size());
   for (auto &output : wrapped_outputs) {
diff --git a/src/lantern/src/Save.cpp b/src/lantern/src/Save.cpp
index 7a38fdde85..1e950e9604 100644
--- a/src/lantern/src/Save.cpp
+++ b/src/lantern/src/Save.cpp
@@ -1,12 +1,15 @@
 #include <iostream>
+#include <fstream>
 
 #define LANTERN_BUILD
 
 #include <torch/torch.h>
+#include <torch/csrc/jit/serialization/import_read.h>
 
 #include "base64.hpp"
 #include "lantern/lantern.h"
 #include "utils.hpp"
+#include "Unpickler.h"
 
 std::string size_t_to_string(std::size_t i) {
   std::stringstream ss;
@@ -67,10 +70,6 @@ void _lantern_test_print(void* x) {
   LANTERN_FUNCTION_END_VOID
 }
 
-namespace torch::jit {
-IValue pickle_load2(const std::vector<char>& data);
-IValue pickle_load3(std::string path);
-}
 void* _lantern_load_state_dict(void* path, bool legacy_stream) {
   LANTERN_FUNCTION_START
   auto path_ = from_raw::string(path);
@@ -80,9 +79,10 @@ void* _lantern_load_state_dict(void* path, bool legacy_stream) {
     std::ifstream file(path_.c_str(), std::ios::binary);
     std::vector<char> data((std::istreambuf_iterator<char>(file)),
                            std::istreambuf_iterator<char>());
-    ivalue = torch::jit::pickle_load2(data);
+    ivalue = torch::pickle_load(data);
   } else {
-    ivalue = torch::jit::pickle_load3(path_);
+    caffe2::serialize::PyTorchStreamReader reader(path_);
+    ivalue = torch::jit::lantern_read_pickle("data", reader);
   }
   
   return make_raw::IValue(ivalue);
diff --git a/src/lantern/src/Tensor.cpp b/src/lantern/src/Tensor.cpp
index 6e26e4f16a..451e5c1df8 100644
--- a/src/lantern/src/Tensor.cpp
+++ b/src/lantern/src/Tensor.cpp
@@ -353,18 +353,35 @@ struct NoopPyInterpreterVTable final : public PyInterpreterVTable {
   }
 
   // Just swallow the event, don't do anything
-  void trace_gpu_event_creation(uintptr_t event) const override {}
-  void trace_gpu_event_deletion(uintptr_t event) const override {}
-  void trace_gpu_event_record(uintptr_t event, uintptr_t stream)
+  void trace_gpu_event_creation(c10::DeviceType device_type, uintptr_t event) const override {}
+  void trace_gpu_event_deletion(c10::DeviceType device_type, uintptr_t event) const override {}
+  void trace_gpu_event_record(c10::DeviceType device_type, uintptr_t event, uintptr_t stream)
       const override {}
-  void trace_gpu_event_wait(uintptr_t event, uintptr_t stream) const override {}
-  void trace_gpu_memory_allocation(uintptr_t ptr) const override {}
-  void trace_gpu_memory_deallocation(uintptr_t ptr) const override {}
-  void trace_gpu_stream_creation(uintptr_t stream) const override {}
-  void trace_gpu_device_synchronization() const override {}
-  void trace_gpu_stream_synchronization(uintptr_t stream) const override {}
-  void trace_gpu_event_synchronization(uintptr_t event) const override {}
-
+  void trace_gpu_event_wait(c10::DeviceType device_type, uintptr_t event, uintptr_t stream) const override {}
+  void trace_gpu_memory_allocation(c10::DeviceType device_type, uintptr_t ptr) const override {}
+  void trace_gpu_memory_deallocation(c10::DeviceType device_type, uintptr_t ptr) const override {}
+  void trace_gpu_stream_creation(c10::DeviceType device_type, uintptr_t stream) const override {}
+  void trace_gpu_device_synchronization(c10::DeviceType device_type) const override {}
+  void trace_gpu_stream_synchronization(c10::DeviceType device_type, uintptr_t stream) const override {}
+  void trace_gpu_event_synchronization(c10::DeviceType device_type, uintptr_t event) const override {}
+
+
+  void incref(PyObject* pyobj) const override {}
+  void reportErrorCallback(PyObject* callback, DispatchKey key) const override {}
+  void python_op_registration_trampoline(const c10::OperatorHandle& op,
+      c10::DispatchKey,
+      c10::DispatchKeySet keyset,
+      torch::jit::Stack* stack,
+      bool with_keyset,
+      bool with_op) const override {}
+  void throw_abstract_impl_not_imported_error(std::string opname,
+      const char* pymodule,
+      const char* context) const override {}
+  int64_t numel(const TensorImpl* self) const override {
+    return self->numel();
+  }
+  void reset_backward_hooks(const TensorImpl* self) const override {}
+  
 };
 
 } // namespace impl
diff --git a/src/lantern/src/Pickler.cpp b/src/lantern/src/Unpickler.cpp
similarity index 77%
rename from src/lantern/src/Pickler.cpp
rename to src/lantern/src/Unpickler.cpp
index e4bf753b74..da5e616255 100644
--- a/src/lantern/src/Pickler.cpp
+++ b/src/lantern/src/Unpickler.cpp
@@ -1,5 +1,10 @@
 #include <ATen/ATen.h>
 #include <ATen/core/Dict.h>
+#include <ATen/core/jit_type.h>
+#include <ATen/core/jit_type_base.h>
+#include <c10/util/Optional.h>
+#include <torch/csrc/jit/ir/ir.h>
+#include <torch/csrc/jit/serialization/unpickler.h>
 #ifdef USE_RPC
 #include <torch/csrc/distributed/rpc/rref_context.h>
 #endif
@@ -8,106 +13,32 @@
 #include <torch/csrc/jit/serialization/pickler.h>
 #include <torch/csrc/jit/serialization/storage_context.h>
 #include <torch/csrc/jit/serialization/unpickler.h>
+#include <torch/csrc/utils/byte_order.h>
 #include <string>
-
-#ifdef _WIN32
-#define LANTERN_API __declspec(dllexport)
-#else
-#define LANTERN_API
-#endif
+#include <utility>
+#include <ATen/core/ivalue.h>
+#include <c10/util/ArrayRef.h>
+#include <caffe2/serialize/inline_container.h>
+#include <torch/csrc/Export.h>
+#include <torch/csrc/jit/frontend/script_type_parser.h>
+#include <torch/csrc/jit/serialization/pickler.h>
 
 namespace torch {
 namespace jit {
 
-// See Python's pickletools.py for a detailed description of each of these codes
-enum class PickleOpCode2 : char {
-  MARK = '(',
-  STOP = '.',
-  POP = '0',
-  POP_MARK = '1',
-  DUP = '2',
-  FLOAT = 'F',
-  INT = 'I',
-  BININT = 'J',
-  BININT1 = 'K',
-  LONG = 'L',
-  BININT2 = 'M',
-  NONE = 'N',
-  PERSID = 'P',
-  BINPERSID = 'Q',
-  REDUCE = 'R',
-  STRING = 'S',
-  BINSTRING = 'T',
-  SHORT_BINSTRING = 'U',
-  // NB: Avoid using UNICODE as it is a macro in the Windows API
-  UNICODE_ = 'V',
-  BINUNICODE = 'X',
-  APPEND = 'a',
-  BUILD = 'b',
-  GLOBAL = 'c',
-  DICT = 'd',
-  EMPTY_DICT = '}',
-  APPENDS = 'e',
-  GET = 'g',
-  BINGET = 'h',
-  INST = 'i',
-  LONG_BINGET = 'j',
-  LIST = 'l',
-  EMPTY_LIST = ']',
-  OBJ = 'o',
-  PUT = 'p',
-  BINPUT = 'q',
-  LONG_BINPUT = 'r',
-  SETITEM = 's',
-  TUPLE = 't',
-  EMPTY_TUPLE = ')',
-  SETITEMS = 'u',
-  BINFLOAT = 'G',
-
-  // Protocol 2
-  PROTO = char('\x80'),
-  NEWOBJ = '\x81',
-  EXT1 = '\x82',
-  EXT2 = '\x83',
-  EXT4 = '\x84',
-  TUPLE1 = '\x85',
-  TUPLE2 = '\x86',
-  TUPLE3 = '\x87',
-  NEWTRUE = '\x88',
-  NEWFALSE = '\x89',
-  LONG1 = '\x8a',
-  LONG4 = '\x8b',
-
-  // Protocol 3 (Python 3.x)
-  BINBYTES = 'B',
-  SHORT_BINBYTES = 'C',
-
-  // Protocol 4
-  SHORT_BINUNICODE = char('\x8c'),
-  BINUNICODE8 = '\x8d',
-  BINBYTES8 = '\x8e',
-  EMPTY_SET = '\x8f',
-  ADDITEMS = '\x90',
-  FROZENSET = '\x91',
-  NEWOBJ_EX = '\x92',
-  STACK_GLOBAL = '\x93',
-  MEMOIZE = '\x94',
-  FRAME = '\x95'
-};
-
 using TypeResolver =
     std::function<c10::StrongTypePtr(const c10::QualifiedName&)>;
 
 using ObjLoader = std::function<
-    c10::intrusive_ptr<c10::ivalue::Object>(at::StrongTypePtr, IValue)>;
+    c10::intrusive_ptr<c10::ivalue::Object>(const at::StrongTypePtr&, IValue)>;
 
 class DeserializationStorageContext;
 
-// [unpickler refactor] there is some cruft around PickleOpCode2::BUILD,
-// PickleOpCode2::NEWOBJ, and the last_opcode_ member below that should be
+// [unpickler refactor] there is some cruft around PickleOpCode::BUILD,
+// PickleOpCode::NEWOBJ, and the last_opcode_ member below that should be
 // deleted at some point, the Pickler doesn't produce it and it's only around to
 // support models saved before 1.1
-class LANTERN_API LanternUnpickler {
+class LanternUnpickler {
   AT_DISALLOW_COPY_AND_ASSIGN(LanternUnpickler);
 
   using TypeParserT = c10::TypePtr (*)(const std::string&);
@@ -131,6 +62,21 @@ class LANTERN_API LanternUnpickler {
         type_parser_(type_parser),
         version_(caffe2::serialize::kProducedFileFormatVersion) {}
 
+  // NOLINTNEXTLINE(cppcoreguidelines-pro-type-member-init)
+  LanternUnpickler(
+      std::function<size_t(char*, size_t)> reader,
+      TypeResolver type_resolver,
+      c10::ArrayRef<at::Tensor> tensor_table,
+      ObjLoader obj_loader,
+      TypeParserT type_parser = defaultTypeParser)
+      : reader_(std::move(reader)),
+        tensor_table_(tensor_table),
+        type_resolver_(std::move(type_resolver)),
+        obj_loader_(std::move(obj_loader)),
+        use_storage_device_(false),
+        type_parser_(type_parser),
+        version_(caffe2::serialize::kProducedFileFormatVersion) {}
+
   // tensors inside the pickle contain meta-data, the raw tensor
   // dead is retrieved by calling `read_record`.
   // NOLINTNEXTLINE(cppcoreguidelines-pro-type-member-init)
@@ -139,7 +85,7 @@ class LANTERN_API LanternUnpickler {
       TypeResolver type_resolver,
       ObjLoader obj_loader,
       std::function<at::DataPtr(const std::string&)> read_record,
-      c10::optional<at::Device> device,
+      std::optional<at::Device> device,
       bool use_storage_device = false,
       TypeParserT type_parser = defaultTypeParser,
       std::shared_ptr<DeserializationStorageContext> storage_context = nullptr)
@@ -148,8 +94,7 @@ class LANTERN_API LanternUnpickler {
         type_resolver_(std::move(type_resolver)),
         obj_loader_(std::move(obj_loader)),
         read_record_(std::move(read_record)),
-        // NOLINTNEXTLINE(performance-move-const-arg)
-        device_(std::move(device)),
+        device_(device),
         use_storage_device_(use_storage_device),
         type_parser_(type_parser),
         storage_context_(std::move(storage_context)),
@@ -205,16 +150,18 @@ class LANTERN_API LanternUnpickler {
       const std::string& module_name,
       const std::string& class_name);
   void rebuildTensor(bool quantized);
+  void rebuildTensorFromTypeV2();
   void rebuildSparseTensor();
 #ifdef USE_DISTRIBUTED
   void rebuildRRef();
 #endif
-  PickleOpCode2 readInstruction();
-  PickleOpCode2 readOpCode() {
-    return static_cast<PickleOpCode2>(read<uint8_t>());
+  PickleOpCode readInstruction();
+  PickleOpCode readOpCode() {
+    return static_cast<PickleOpCode>(read<uint8_t>());
   }
   std::string readString();
   void readList(IValue list_ivalue);
+  void readListElements(IValue list_ivalue, size_t start);
   void setInput(size_t memo_id);
   void run();
 
@@ -247,7 +194,7 @@ class LANTERN_API LanternUnpickler {
   IValue empty_tuple_;
 
   std::function<at::DataPtr(const std::string&)> read_record_;
-  c10::optional<at::Device> device_;
+  std::optional<at::Device> device_;
   // When set to true, Unpickler will ignore the pickled device and use the
   // device of the DataPtr returned by the read_record_ function. The default
   // value of this flag is false.
@@ -261,18 +208,10 @@ class LANTERN_API LanternUnpickler {
 
   // See [type tag serialization]
   uint64_t version_;
-};
-
-void restoreAccurateTypeTags(const IValue& root, const c10::TypePtr& type_tag);
-
-} // namespace jit
-} // namespace torch
-
-
-namespace torch {
-namespace jit {
 
-using ::c10::IValue;
+  // See [NOTE] skip_next_read_global
+  uint8_t skip_next_read_global = 0;
+};
 
 static void restoreAccurateTypeTagsIfPossible(const IValue& root) {
   if (root.isObject()) {
@@ -347,13 +286,18 @@ void restoreAccurateTypeTags(const IValue& root, const TypePtr& type_tag) {
         // no op, there is nothing to tag
         break;
       case c10::SymIntType::Kind:
-        TORCH_CHECK(!w.value.toSymInt().is_symbolic());
+        // TODO: Can this really show up though? :think:
+        TORCH_CHECK(!w.value.toSymInt().is_heap_allocated());
         // no op, there is nothing to tag
         break;
       case c10::SymFloatType::Kind:
         TORCH_CHECK(!w.value.toSymFloat().is_symbolic());
         // no op, there is nothing to tag
         break;
+      case c10::SymBoolType::Kind:
+        TORCH_CHECK(!w.value.toSymBool().is_heap_allocated());
+        // no op, there is nothing to tag
+        break;
       case DynamicType::Kind:
       case UnionType::Kind:
       case EnumType::Kind:
@@ -373,6 +317,13 @@ void restoreAccurateTypeTags(const IValue& root, const TypePtr& type_tag) {
           to_process.emplace_back(std::move(elem));
         }
       } break;
+      case AwaitType::Kind: {
+        auto aw = w.value.toAwait();
+        if (aw->completed()) {
+          Work elem = {w.type->containedType(0), aw->wait()};
+          to_process.emplace_back(std::move(elem));
+        }
+      } break;
       case OptionalType::Kind: {
         if (!w.value.isNone()) {
           Work elem = {w.type->containedType(0), w.value};
@@ -388,7 +339,7 @@ void restoreAccurateTypeTags(const IValue& root, const TypePtr& type_tag) {
         auto elem_type = w.type->containedType(0);
         auto lst = w.value.toList();
         lst.unsafeSetElementType(elem_type);
-        for (const IValue item : lst) {
+        for (const IValue& item : lst) {
           Work elem = {elem_type, item};
           to_process.emplace_back(std::move(elem));
         }
@@ -422,6 +373,49 @@ void restoreAccurateTypeTags(const IValue& root, const TypePtr& type_tag) {
   }
 }
 
+IValue lantern_read_pickle(
+    const std::string& archive_name,
+    caffe2::serialize::PyTorchStreamReader& stream_reader) {
+  std::string picklename = archive_name + ".pkl";
+  at::DataPtr pickle_ptr;
+  size_t pickle_size = 0;
+  std::tie(pickle_ptr, pickle_size) = stream_reader.getRecord(picklename);
+
+  size_t bytes_read = 0;
+  auto data = reinterpret_cast<const char*>(pickle_ptr.get());
+  auto reader = [&](char* buffer, size_t len) -> size_t {
+    if (bytes_read >= pickle_size) {
+      return 0;
+    }
+    len = std::min(pickle_size - bytes_read, len);
+    // Copy len bytes into buffer
+    const char* start = data + bytes_read;
+    std::memcpy(buffer, start, len);
+    bytes_read += len;
+    return len;
+  };
+
+  std::string tensor_dir_path = archive_name + "/";
+
+  auto read_record = [&](const std::string& name) {
+    std::string ss = tensor_dir_path + name;
+    return std::get<0>(stream_reader.getRecord(ss));
+  };
+
+  LanternUnpickler unpickler(
+      reader,
+      nullptr,
+      nullptr,
+      std::move(read_record),
+      c10::nullopt,
+      false,
+      LanternUnpickler::defaultTypeParser,
+      std::move(nullptr));
+  unpickler.set_version(stream_reader.version());
+  return unpickler.parse_ivalue();
+}
+
+
 namespace {
 template <typename T>
 bool is(const Type& type) {
@@ -435,7 +429,9 @@ bool is(const Type& type) {
 }
 } // namespace
 
-void restoreContainerTypeTags(const IValue& ivalue, const TypePtr& type) {
+static void restoreContainerTypeTags(
+    const IValue& ivalue,
+    const TypePtr& type) {
   if (is<DictType>(*type)) {
     auto dict = ivalue.toGenericDict();
     dict.unsafeSetKeyType(type->containedType(0));
@@ -443,404 +439,69 @@ void restoreContainerTypeTags(const IValue& ivalue, const TypePtr& type) {
   } else if (is<ListType>(*type)) {
     ivalue.toList().unsafeSetElementType(type->containedType(0));
   } else {
-    AT_ERROR("Unknown type for tag restoration: " + type->annotation_str());
-  }
-}
-
-IValue LanternUnpickler::parse_ivalue() {
-  run();
-  TORCH_CHECK(
-      stack_.size() == 1,
-      "Unpickler expected 1 element on the stack, but found ",
-      stack_.size());
-  if (version_ <= 2) {
-    // See [type tag serialization]
-    restoreAccurateTypeTagsIfPossible(stack_[0]);
+    TORCH_CHECK(
+        false, "Unknown type for tag restoration: " + type->annotation_str());
   }
-  return stack_[0];
 }
 
-double LanternUnpickler::readFloat() {
-  AT_ASSERT(sizeof(double) == 8);
-  double big_endian = read<double>();
-  // NOLINTNEXTLINE(cppcoreguidelines-init-variables)
-  double little_endian;
-
-  // Pickle floats are big endian, so reverse the bytes
-  auto big_endian_ptr = reinterpret_cast<const char*>(&big_endian);
-  std::reverse_copy(
-      big_endian_ptr,
-      big_endian_ptr + sizeof(big_endian),
-      reinterpret_cast<char*>(&little_endian));
-
-  return little_endian;
+inline bool is_valid_python_id_char(char c) {
+  return c == '_' || c == '.' || (c >= '0' && c <= '9') ||
+      (c >= 'a' && c <= 'z') || (c >= 'A' && c <= 'Z');
 }
 
-void LanternUnpickler::run() {
-  // Expect a PROTO opcode and protocol number at the start of blob
-  auto opcode = readOpCode();
-  TORCH_CHECK(
-      opcode == PickleOpCode2::PROTO,
-      "Expected PROTO opcode at the start"
-      " of pickle archive, found ",
-      int(static_cast<uint8_t>(opcode)));
-  uint8_t protocol = read<uint8_t>();
-  TORCH_CHECK(
-      protocol == 2,
-      "Only Pickle protocol 2 is supported, found protocol = ",
-      protocol);
-
+std::string LanternUnpickler::readString() {
+  std::string ss;
   while (true) {
-    PickleOpCode2 opcode = readInstruction();
-    if (opcode == PickleOpCode2::STOP) {
-      return;
+    auto* const bufferStart = buffer_.data() + buffer_pos_;
+    const auto bufferLeft = buffer_.size() - buffer_pos_;
+    char* const newlinePtr =
+        static_cast<char*>(memchr(bufferStart, '\n', bufferLeft));
+    if (newlinePtr) {
+      // read up to newline and we are done.
+      auto const charsRead = newlinePtr - bufferStart;
+      ss.append(bufferStart, charsRead);
+      buffer_remaining_ -= charsRead + 1;
+      buffer_pos_ += charsRead + 1;
+      break;
+    } else {
+      // read whole buffer, refill
+      for (const char* p = bufferStart; p < bufferStart + bufferLeft; ++p) {
+        // Simple check just in case there is no terminating '\n'
+        TORCH_CHECK(
+            is_valid_python_id_char(*p),
+            "Found character '",
+            int(uint8_t(*p)),
+            "' in string, ",
+            "strings must be qualified Python identifiers");
+      }
+      ss.append(bufferStart, bufferLeft);
+      buffer_remaining_ = reader_(buffer_.data(), buffer_.size());
+      buffer_pos_ = 0;
     }
   }
-}
-void LanternUnpickler::setInput(size_t memo_id) {
-  AT_ASSERT(!stack_.empty());
-  if (memo_id >= memo_table_.size()) {
-    memo_table_.insert(
-        memo_table_.end(), memo_id - memo_table_.size(), IValue());
-    memo_table_.push_back(stack_.back());
-  } else {
-    memo_table_[memo_id] = stack_.back();
-  }
-}
-
-// emplace_back on bool vectors does not exist on some systems
-// avoid it by calling push_back for bool
-template <typename T>
-inline void append(std::vector<T>& a, T&& e) {
-  a.emplace_back(std::forward<T>(e));
-}
-template <>
-inline void append<bool>(std::vector<bool>& a, bool&& e) {
-  a.push_back(e);
-}
-
-static std::vector<int64_t> tupleToIntList(const IValue& v) {
-  return fmap(v.toTupleRef().elements(), [](const IValue& v) -> int64_t {
-    return v.toInt();
-  });
-}
-
-// note we cannot use toIntList, toDoubleList because during unpickling the
-// lists are not yet tagged
-template <typename T>
-static std::vector<T> convertList(const IValue& v) {
-  return fmap(v.toListRef(), [](const IValue& elem) { return elem.to<T>(); });
+  return ss;
 }
 
-PickleOpCode2 LanternUnpickler::readInstruction() {
-  auto opcode = readOpCode();
-  switch (opcode) {
-    case PickleOpCode2::EMPTY_LIST: {
-      stack_.emplace_back(c10::impl::GenericList(AnyType::get()));
-    } break;
-    case PickleOpCode2::EMPTY_TUPLE: {
-      if (empty_tuple_.isNone()) {
-        // we only need one object, since tuples are not mutable.
-        empty_tuple_ = c10::ivalue::Tuple::create(std::vector<IValue>());
-      }
-      stack_.emplace_back(empty_tuple_);
-    } break;
-    case PickleOpCode2::BINPUT: {
-      size_t memo_id = read<uint8_t>();
-      setInput(memo_id);
-    } break;
-    case PickleOpCode2::LONG_BINPUT: {
-      TORCH_CHECK(
-          std::numeric_limits<size_t>::max() >=
-              std::numeric_limits<uint32_t>::max(),
-          "Found a LONG_BINPUT opcode, but size_t on this system is "
-          "not big enough to decode it");
-      size_t memo_id = read<uint32_t>();
-      setInput(memo_id);
-    } break;
-    case PickleOpCode2::MARK: {
-      // Mark location of the container ivalue in the stack
-      marks_.push_back(stack_.size());
-    } break;
-    case PickleOpCode2::NEWTRUE: {
-      stack_.emplace_back(true);
-    } break;
-    case PickleOpCode2::NEWFALSE: {
-      stack_.emplace_back(false);
-    } break;
-    case PickleOpCode2::NONE: {
-      stack_.emplace_back(IValue());
-    } break;
-    case PickleOpCode2::BININT1: {
-      uint8_t value = read<uint8_t>();
-      stack_.emplace_back(int64_t(value));
-    } break;
-    case PickleOpCode2::BININT2: {
-      uint16_t value = read<uint16_t>();
-      stack_.emplace_back(int64_t(value));
-    } break;
-    case PickleOpCode2::BININT: {
-      int32_t value = read<int32_t>();
-      stack_.emplace_back(int64_t(value));
-    } break;
-    case PickleOpCode2::LONG1: {
-      // Only read LONG1s with 8 as the length
-      uint8_t length = read<uint8_t>();
-      TORCH_CHECK(length == 8, "Expected length to be 8, got ", int(length));
-      stack_.emplace_back(int64_t(read<int64_t>()));
-    } break;
-    case PickleOpCode2::BINUNICODE: {
-      uint32_t length = read<uint32_t>();
-      stack_.emplace_back(readBytes(length));
-    } break;
-    case PickleOpCode2::BINFLOAT:
-      stack_.emplace_back(readFloat());
-      break;
-    case PickleOpCode2::TUPLE: {
-      TORCH_CHECK(!marks_.empty(), "Parsing error: marks_ is empty");
-      size_t start = marks_.back();
-      marks_.pop_back();
-      std::vector<IValue> elements;
-      const auto tupleSize = stack_.size() - start;
-      switch (tupleSize) {
-        case 3: {
-          auto e3 = pop(stack_);
-          auto e2 = pop(stack_);
-          auto e1 = pop(stack_);
-          stack_.emplace_back(c10::ivalue::Tuple::create(
-              std::move(e1), std::move(e2), std::move(e3)));
-          break;
-        }
-        case 2: {
-          auto e2 = pop(stack_);
-          auto e1 = pop(stack_);
-          stack_.emplace_back(
-              c10::ivalue::Tuple::create(std::move(e1), std::move(e2)));
-          break;
-        }
-        case 1:
-          stack_.emplace_back(c10::ivalue::Tuple::create(pop(stack_)));
-          break;
-        default: {
-          elements.reserve(stack_.size() - start);
-          auto start_it = stack_.begin() + start;
-          for (auto it = start_it; it != stack_.end(); ++it) {
-            elements.emplace_back(std::move(*it));
-          }
-          stack_.erase(start_it, stack_.end());
-          stack_.emplace_back(c10::ivalue::Tuple::create(std::move(elements)));
-          break;
-        }
+void LanternUnpickler::readGlobal(
+    const std::string& module_name,
+    const std::string& class_name) {
+  if (this->skip_next_read_global) {
+    // See [NOTE] skip_next_read_global
+    this->skip_next_read_global--;
+    if (this->skip_next_read_global == 1) {
+      // Pass through to the correct handler
+    } else if (this->skip_next_read_global == 0) {
+      // Corresponds to the type of `Tensor` being unpickled
+      if (module_name != "torch" || class_name != "Tensor") {
+        TORCH_WARN(
+            "Trying to load a Subclassed Tensor, it will be converted to at::Tensor in C++");
       }
-    } break;
-    case PickleOpCode2::TUPLE1: {
-      stack_.emplace_back(c10::ivalue::Tuple::create(pop(stack_)));
-    } break;
-    case PickleOpCode2::TUPLE2: {
-      auto e2 = pop(stack_);
-      auto e1 = pop(stack_);
-      stack_.emplace_back(
-          c10::ivalue::Tuple::create(std::move(e1), std::move(e2)));
-    } break;
-    case PickleOpCode2::TUPLE3: {
-      auto e3 = pop(stack_);
-      auto e2 = pop(stack_);
-      auto e1 = pop(stack_);
-      stack_.emplace_back(c10::ivalue::Tuple::create(
-          std::move(e1), std::move(e2), std::move(e3)));
-    } break;
-    case PickleOpCode2::EMPTY_DICT:
-      stack_.emplace_back(
-          c10::impl::GenericDict(AnyType::get(), AnyType::get()));
-      break;
-    case PickleOpCode2::APPENDS: {
-      TORCH_CHECK(!marks_.empty(), "Parsing error: marks_ is empty");
-      size_t start = marks_.back();
-      TORCH_CHECK(
-          start > 0 && start <= stack_.size(),
-          "Parsing error: wrong start index for stack_");
-      auto list_ivalue = stack_.at(start - 1);
-      readList(list_ivalue);
-    } break;
-    case PickleOpCode2::LIST: {
-      IValue list_ivalue = c10::impl::GenericList(AnyType::get());
-      readList(list_ivalue);
-      stack_.push_back(std::move(list_ivalue));
-    } break;
-    case PickleOpCode2::DICT: {
-      TORCH_CHECK(!marks_.empty(), "Parsing error: marks_ is empty");
-      size_t start = marks_.back();
-      marks_.pop_back();
-      auto dict = c10::impl::GenericDict(AnyType::get(), AnyType::get());
-      for (size_t i = start; i < stack_.size(); i += 2) {
-        dict.insert_or_assign(stack_[i], stack_[i + 1]);
-      }
-      stack_.erase(stack_.begin() + start, stack_.end());
-      stack_.emplace_back(std::move(dict));
-    } break;
-    case PickleOpCode2::SETITEMS: {
-      TORCH_CHECK(!marks_.empty(), "Parsing error: marks_ is empty");
-      size_t start = marks_.back();
-      marks_.pop_back();
-      TORCH_CHECK(
-          start > 0 && start <= stack_.size(),
-          "Parsing error: wrong start index for stack_");
-      auto dict = stack_.at(start - 1).toGenericDict();
-      for (size_t i = start; i < stack_.size(); i += 2) {
-        dict.insert_or_assign(stack_[i], stack_[i + 1]);
-      }
-      stack_.erase(stack_.begin() + start, stack_.end());
-    } break;
-    case PickleOpCode2::BINGET: {
-      stack_.push_back(memo_table_.at(read<uint8_t>()));
-    } break;
-    case PickleOpCode2::LONG_BINGET: {
-      stack_.push_back(memo_table_.at(read<uint32_t>()));
-    } break;
-    case PickleOpCode2::STOP:
-      break;
-    case PickleOpCode2::GLOBAL: {
-      // Module name, it's not needed for anything
-      auto module_name = readString();
-      auto class_name = readString();
-      readGlobal(module_name, class_name);
-    } break;
-    case PickleOpCode2::NEWOBJ: {
-      // pop empty tuple, the actual action is stored in the globals_stack_
-      stack_.pop_back();
-    } break;
-    // because we have NEWOBJ do nothing, BUILD and REDUCE end up doing
-    // the same thing
-    case PickleOpCode2::BUILD:
-    case PickleOpCode2::REDUCE: {
-      // stack is: <functor_idx> <functor_arg>
-      // extract <functor_idx> and remove from the stack:
-      
-      // In the OrderedDict case, the id has already been materialized
-      // and added to the stack, thus there's no <functor_idx> but a Dict
-      // there, in this case we can just pop the functor args and break.
-      // The functor args in this case contain some other metadata like
-      // '{_metadata: {: {version: 1}}}' which seem to be safe to ignore.
-      if (stack_.at(stack_.size() - 2).isGenericDict()) {
-        stack_.pop_back();
-        break;
-      }
-
-      std::swap(*(stack_.end() - 2), *(stack_.end() - 1));
-      size_t idx = stack_.back().toInt();
-      stack_.pop_back();
-      // stack is: <functor_arg>
-      TORCH_CHECK(
-          idx < globals_.size(),
-          "Parsing error: out of bounds access to globals_");
-      globals_.at(idx)();
-    } break;
-    case PickleOpCode2::BINPERSID: {
-      auto tuple = pop(stack_).toTuple();
-      const auto& args = tuple->elements();
-      AT_ASSERT(
-          args.at(0).toStringRef() == "storage",
-          "unknown PERSID key ",
-          args.at(0).toStringRef());
-      at::ScalarType type = args.at(1).toScalarType();
-      const std::string& key = args.at(2).toStringRef();
-
-      at::Device device(args.at(3).toStringRef());
-      if (device_) {
-        device = *device_;
-      }
-
-      at::Storage storage;
-      if (storage_context_ != nullptr && storage_context_->hasStorage(key)) {
-        // for torch.package logic where storage may be loaded already
-        storage = storage_context_->getStorage(key);
-      } else {
-        int64_t numel = args.at(4).toInt();
-        caffe2::TypeMeta dtype = at::CPU(type).typeMeta();
-
-        at::DataPtr storage_ptr;
-        if (numel > 0) {
-          // If there are no elements in the tensor, there's no point in
-          // reading a zero (0) byte file from the input stream and paying
-          // that cost.
-          storage_ptr = read_record_(key);
-        }
-
-        storage = at::Storage(
-            c10::Storage::use_byte_size_t(),
-            numel * dtype.itemsize(),
-            std::move(storage_ptr),
-            /*allocator=*/nullptr,
-            /*resizable=*/false); // NB: we didn't set any allocator for the
-                                  // tensor
-        if (storage_context_ != nullptr) {
-          storage_context_->addStorage(key, storage);
-        }
-      }
-
-      auto options = at::CPU(type).options();
-      if (use_storage_device_) {
-        options = options.device(storage.device());
-        device = storage.device();
-      }
-
-      at::Tensor tensor;
-      if (options.backend() == c10::Backend::QuantizedCPU) {
-        tensor = at::_empty_affine_quantized({}, options, 0, 0)
-                     .set_(storage, 0, {}, {});
-      } else {
-        tensor = at::empty({0}, options).set_(storage);
-      }
-
-      if (device.is_cuda() || device.is_xpu() || device.is_meta() ||
-          device.is_hpu()) {
-        tensor = tensor.to(device, tensor.scalar_type());
-      } else if (device.type() != DeviceType::CPU) {
-        AT_ERROR(
-            "supported devices include CPU, CUDA and HPU, however got ",
-            DeviceTypeName(device.type(), false));
-      }
-      stack_.emplace_back(std::move(tensor));
-    } break;
-    case PickleOpCode2::SETITEM: {
-      // At this OpCode, stack looks like
-      // | Stack Bottom |
-      // | ......       |
-      // | Dict         | -> (stack_size - 3)
-      // | Key          | -> (stack_size - 2)
-      // | Value        | -> (stack_size - 1)
-      TORCH_CHECK(
-          stack_.size() >= 3,
-          "Parsing error: stack doesn't have enough elements");
-
-      auto stack_size = stack_.size();
-      auto dict_pos = stack_size - 3;
-      auto key_pos = stack_size - 2;
-      auto val_pos = stack_size - 1;
-
-      TORCH_CHECK(
-          (dict_pos < stack_size) && (key_pos < stack_size) &&
-              (val_pos < stack_size),
-          "Parsing error: attempted out-of-bounds access while processing SETITEM opcode");
-
-      auto dict = stack_.at(dict_pos).toGenericDict();
-      dict.insert_or_assign(stack_.at(key_pos), stack_.at(val_pos));
-      stack_.erase(stack_.begin() + (key_pos), stack_.end());
-    } break;
-    default: {
-      AT_ERROR(
-          "Unknown opcode for unpickling at ",
-          reinterpret_cast<void*>(opcode),
-          ": ",
-          int(static_cast<uint8_t>(opcode)));
-    } break;
+      stack_.emplace_back(int64_t(globals_.size() - 1));
+      return;
+    } else {
+      TORCH_CHECK(false, "INVALID VALUES")
+    }
   }
-  return opcode;
-}
-
-void LanternUnpickler::readGlobal(
-    const std::string& module_name,
-    const std::string& class_name) {
   // TODO [unpickler refactor] __main__ isn't used by the pickler anymore, this
   // is only here for bc-compatibility reasons
   if (module_name == "__main__") {
@@ -858,7 +519,7 @@ void LanternUnpickler::readGlobal(
         stack_.back().toList().unsafeSetElementType(IntType::get());
       });
     } else {
-      AT_ERROR("Unknown pickler class id", class_name);
+      TORCH_CHECK(false, "Unknown pickler class id", class_name);
     }
   } else if (module_name == "torch.jit._pickle") {
     if (class_name == "build_tensor_from_id") {
@@ -908,7 +569,7 @@ void LanternUnpickler::readGlobal(
       } else if (class_name == "build_boollist") {
         elem_type = BoolType::get();
       } else {
-        AT_ERROR("Unknown pickler class id ", class_name);
+        TORCH_CHECK(false, "Unknown pickler class id ", class_name);
       }
       // Unpickle a list specialization (e.g. List[Tensor], List[int], ...)
       globals_.emplace_back([this, elem_type] {
@@ -926,6 +587,12 @@ void LanternUnpickler::readGlobal(
     // Unpickle a tensor
     bool quantized = class_name == "_rebuild_qtensor";
     rebuildTensor(quantized);
+  } else if (
+      module_name == "torch._tensor" &&
+      (class_name == "_rebuild_from_type_v2")) {
+    // Unpickle a Tensor with Python attributes or
+    // a Subclassed Tensor.
+    rebuildTensorFromTypeV2();
   } else if (
       module_name == "torch._utils" && class_name == "_rebuild_sparse_tensor") {
     rebuildSparseTensor();
@@ -942,11 +609,11 @@ void LanternUnpickler::readGlobal(
   } else if (module_name == "collections" && class_name == "OrderedDict") {
     // collections.OrderedDict is used in tensor serialization for a tensor's
     // backward hooks (but they are not actually saved with this Pickler)
+    // Python's model.state_dict() is an OrderedDict, but this is not used
+    // for model loading.
     globals_.emplace_back([this] {
-      // drop the Tuple that was argument to OrderedDict, and replace it
-      // with None OrderedDicts only appear in tensor deserialization and
-      // their value is never used
-      //stack_.back() = IValue();
+      // The OrderedDict becomes a GenericDict. The inputs which are in
+      // stack.back() are fully ignored, but they are empty anyways.
       stack_.back() = c10::impl::GenericDict(AnyType::get(), AnyType::get());
     });
   } else if (module_name == "torch" && class_name == "device") {
@@ -971,7 +638,7 @@ void LanternUnpickler::readGlobal(
     // like the other branches here because no REDUCE or BUILD will
     // be called on this value. Instead, we just put it on the stack
     // and return early
-    c10::optional<c10::ScalarType> scalar_type;
+    std::optional<c10::ScalarType> scalar_type;
 #define CHECK_SCALAR(_, name)          \
   if (class_name == #name "Storage") { \
     scalar_type = c10::k##name;        \
@@ -983,7 +650,7 @@ void LanternUnpickler::readGlobal(
       return;
     }
 
-    c10::optional<at::QScheme> qscheme;
+    std::optional<at::QScheme> qscheme;
     for (int i = 0; i < at::COMPILE_TIME_NUM_QSCHEMES; ++i) {
       if (class_name == toString(static_cast<at::QScheme>(i))) {
         qscheme = static_cast<at::QScheme>(i);
@@ -1033,100 +700,461 @@ void LanternUnpickler::readGlobal(
   stack_.emplace_back(int64_t(globals_.size() - 1));
 }
 
-void LanternUnpickler::rebuildSparseTensor() {
-  globals_.emplace_back([this] {
-    auto tup = pop(stack_).toTuple();
-    const auto& elements = tup->elements();
-    size_t idx = 0;
-    auto layout = elements.at(idx++).toInt();
-    at::Tensor result;
-    switch (layout) {
-      case static_cast<int>(c10::Layout::Sparse): {
-        std::vector<int64_t> size = tupleToIntList(elements.at(idx++));
-        bool requires_grad = elements.at(idx++).toBool();
-        auto& indices_tensor = elements.at(idx++).toTensor();
-        auto& values_tensor = elements.at(idx++).toTensor();
-        auto options = values_tensor.options()
-                           .layout(c10::Layout::Sparse)
-                           .requires_grad(requires_grad);
-        result = at::_sparse_coo_tensor_unsafe(
-            indices_tensor, values_tensor, size, options);
-        result = autograd::make_variable(result, options.requires_grad());
-        break;
-      }
-      case static_cast<int>(c10::Layout::SparseCsr): {
-        std::vector<int64_t> size = tupleToIntList(elements.at(idx++));
-        bool requires_grad = elements.at(idx++).toBool();
-        auto& crow_indices = elements.at(idx++).toTensor();
-        auto& col_indices = elements.at(idx++).toTensor();
-        auto& values_tensor = elements.at(idx++).toTensor();
-        auto options = values_tensor.options()
-                           .layout(c10::Layout::SparseCsr)
-                           .requires_grad(requires_grad);
-        result = at::_sparse_csr_tensor_unsafe(
-            crow_indices, col_indices, values_tensor, size, options);
-        result =
-            autograd::make_variable(std::move(result), options.requires_grad());
-        break;
+PickleOpCode LanternUnpickler::readInstruction() {
+  auto opcode = readOpCode();
+  switch (opcode) {
+    case PickleOpCode::EMPTY_LIST: {
+      stack_.emplace_back(c10::impl::GenericList(AnyType::get()));
+    } break;
+    case PickleOpCode::EMPTY_TUPLE: {
+      if (empty_tuple_.isNone()) {
+        // we only need one object, since tuples are not mutable.
+        empty_tuple_ = c10::ivalue::Tuple::create(std::vector<IValue>());
       }
-      default:
-        TORCH_CHECK(
-            false,
-            "Unsupported sparse tensor layout type in serialization ",
-            static_cast<c10::Layout>(layout));
-        break;
-    }
-    stack_.emplace_back(std::move(result));
-  });
-}
-
-void LanternUnpickler::rebuildTensor(bool quantized) {
-  globals_.emplace_back([this, quantized] {
-    auto tup = pop(stack_).toTuple();
-    const auto& elements = tup->elements();
-    size_t idx = 0;
-    auto& storage_tensor = elements.at(idx++).toTensor();
-    int64_t storage_offset = elements.at(idx++).toInt();
-    std::vector<int64_t> size = tupleToIntList(elements.at(idx++));
-    std::vector<int64_t> stride = tupleToIntList(elements.at(idx++));
-    at::Tensor result;
-    if (quantized) {
-      auto qparams_tuple = elements.at(idx++).toTuple();
-      const auto& qparams = qparams_tuple->elements();
-      auto qscheme = static_cast<at::QScheme>(qparams.at(0).toInt());
-      switch (qscheme) {
-        case at::kPerTensorAffine: {
-          double q_scale = qparams.at(1).toDouble();
-          int64_t q_zero_point = qparams.at(2).toInt();
-          result = at::_empty_affine_quantized(
-              {0}, storage_tensor.options(), q_scale, q_zero_point);
-        } break;
-        case at::kPerChannelAffineFloatQParams:
-        case at::kPerChannelAffine: {
-          const auto& scales = qparams.at(1).toTensor();
-          const auto& zero_points = qparams.at(2).toTensor();
-          int64_t axis = qparams.at(3).toInt();
-          result = at::_empty_per_channel_affine_quantized(
-              {0}, scales, zero_points, axis, storage_tensor.options());
-        } break;
-        default:
-          TORCH_CHECK(
-              false,
-              "Unsupported tensor quantization type in serialization ",
-              toString(qscheme));
+      stack_.emplace_back(empty_tuple_);
+    } break;
+    case PickleOpCode::BINPUT: {
+      size_t memo_id = read<uint8_t>();
+      setInput(memo_id);
+    } break;
+    case PickleOpCode::LONG_BINPUT: {
+      TORCH_CHECK(
+          std::numeric_limits<size_t>::max() >=
+              std::numeric_limits<uint32_t>::max(),
+          "Found a LONG_BINPUT opcode, but size_t on this system is "
+          "not big enough to decode it");
+      size_t memo_id = read<uint32_t>();
+      setInput(memo_id);
+    } break;
+    case PickleOpCode::MARK: {
+      // Mark location of the container ivalue in the stack
+      marks_.push_back(stack_.size());
+    } break;
+    case PickleOpCode::NEWTRUE: {
+      stack_.emplace_back(true);
+    } break;
+    case PickleOpCode::NEWFALSE: {
+      stack_.emplace_back(false);
+    } break;
+    case PickleOpCode::NONE: {
+      stack_.emplace_back();
+    } break;
+    case PickleOpCode::BININT1: {
+      uint8_t value = read<uint8_t>();
+      stack_.emplace_back(int64_t(value));
+    } break;
+    case PickleOpCode::BININT2: {
+      uint16_t value = from_le16(read<uint16_t>());
+      stack_.emplace_back(int64_t(value));
+    } break;
+    case PickleOpCode::BININT: {
+      int32_t value = from_le32(read<int32_t>());
+      stack_.emplace_back(int64_t(value));
+    } break;
+    case PickleOpCode::LONG1: {
+      // Only read LONG1s with 8 as the length
+      uint8_t length = read<uint8_t>();
+      TORCH_CHECK(length == 8, "Expected length to be 8, got ", int(length));
+      stack_.emplace_back(int64_t(from_le64(read<int64_t>())));
+    } break;
+    case PickleOpCode::BINUNICODE: {
+      uint32_t length = from_le32(read<uint32_t>());
+      stack_.emplace_back(readBytes(length));
+    } break;
+    case PickleOpCode::BINUNICODE8: {
+      int64_t length = from_le64(read<int64_t>());
+      stack_.emplace_back(readBytes(length));
+    } break;
+    case PickleOpCode::BINFLOAT:
+      stack_.emplace_back(readFloat());
+      break;
+    case PickleOpCode::TUPLE: {
+      TORCH_CHECK(!marks_.empty(), "Parsing error: marks_ is empty");
+      size_t start = marks_.back();
+      marks_.pop_back();
+      std::vector<IValue> elements;
+      TORCH_CHECK(
+          stack_.size() >= start,
+          "Parsing error: wrong start index ",
+          start,
+          " for stack_ of size ",
+          stack_.size());
+      const auto tupleSize = stack_.size() - start;
+      switch (tupleSize) {
+        case 3: {
+          auto e3 = pop(stack_);
+          auto e2 = pop(stack_);
+          auto e1 = pop(stack_);
+          stack_.emplace_back(c10::ivalue::Tuple::create(
+              std::move(e1), std::move(e2), std::move(e3)));
+          break;
+        }
+        case 2: {
+          auto e2 = pop(stack_);
+          auto e1 = pop(stack_);
+          stack_.emplace_back(
+              c10::ivalue::Tuple::create(std::move(e1), std::move(e2)));
           break;
+        }
+        case 1:
+          stack_.emplace_back(c10::ivalue::Tuple::create(pop(stack_)));
+          break;
+        default: {
+          elements.reserve(stack_.size() - start);
+          auto start_it = stack_.begin() + static_cast<std::ptrdiff_t>(start);
+          for (auto it = start_it; it != stack_.end(); ++it) {
+            elements.emplace_back(std::move(*it));
+          }
+          stack_.erase(start_it, stack_.end());
+          stack_.emplace_back(c10::ivalue::Tuple::create(std::move(elements)));
+          break;
+        }
       }
-    } else {
-      result = at::empty({0}, storage_tensor.options());
+    } break;
+    case PickleOpCode::TUPLE1: {
+      TORCH_CHECK(
+          !stack_.empty(),
+          "Parsing error: stack_ contains ",
+          stack_.size(),
+          " elements, at least 1 expected");
+      stack_.emplace_back(c10::ivalue::Tuple::create(pop(stack_)));
+    } break;
+    case PickleOpCode::TUPLE2: {
+      TORCH_CHECK(
+          stack_.size() > 1,
+          "Parsing error: stack_ contains ",
+          stack_.size(),
+          " elements, at least 2 expected");
+      auto e2 = pop(stack_);
+      auto e1 = pop(stack_);
+      stack_.emplace_back(
+          c10::ivalue::Tuple::create(std::move(e1), std::move(e2)));
+    } break;
+    case PickleOpCode::TUPLE3: {
+      TORCH_CHECK(
+          stack_.size() > 2,
+          "Parsing error: stack_ contains ",
+          stack_.size(),
+          " elements, at least 3 expected");
+      auto e3 = pop(stack_);
+      auto e2 = pop(stack_);
+      auto e1 = pop(stack_);
+      stack_.emplace_back(c10::ivalue::Tuple::create(
+          std::move(e1), std::move(e2), std::move(e3)));
+    } break;
+    case PickleOpCode::EMPTY_DICT:
+      stack_.emplace_back(
+          c10::impl::GenericDict(AnyType::get(), AnyType::get()));
+      break;
+    case PickleOpCode::APPENDS: {
+      TORCH_CHECK(!marks_.empty(), "Parsing error: marks_ is empty");
+      size_t start = marks_.back();
+      TORCH_CHECK(
+          start > 0 && start <= stack_.size(),
+          "Parsing error: wrong start index ",
+          start,
+          " for stack_ of size ",
+          stack_.size());
+      auto list_ivalue = stack_.at(start - 1);
+      readList(list_ivalue);
+    } break;
+    case PickleOpCode::APPEND: {
+      TORCH_CHECK(
+          stack_.size() >= 2, "Parsing error: missing elements in stack_.");
+      auto list_ivalue = stack_.at(stack_.size() - 2);
+      readListElements(list_ivalue, stack_.size() - 1);
+    } break;
+    case PickleOpCode::LIST: {
+      IValue list_ivalue = c10::impl::GenericList(AnyType::get());
+      readList(list_ivalue);
+      stack_.push_back(std::move(list_ivalue));
+    } break;
+    case PickleOpCode::DICT: {
+      TORCH_CHECK(!marks_.empty(), "Parsing error: marks_ is empty");
+      size_t start = marks_.back();
+      marks_.pop_back();
+      TORCH_CHECK(
+          stack_.size() > start,
+          "Parsing error: wrong start index ",
+          start,
+          " for stack_ which of size ",
+          stack_.size());
+      auto dict = c10::impl::GenericDict(AnyType::get(), AnyType::get());
+      TORCH_CHECK(
+          (stack_.size() - start) % 2 == 0,
+          "Parsing error: stack_ is of size ",
+          stack_.size(),
+          " and start index is ",
+          start,
+          ", but stack_ is iterated by two elements at a time");
+      for (size_t i = start; i < stack_.size(); i += 2) {
+        dict.insert_or_assign(stack_[i], stack_[i + 1]);
+      }
+      stack_.erase(
+          stack_.begin() + static_cast<std::ptrdiff_t>(start), stack_.end());
+      stack_.emplace_back(std::move(dict));
+    } break;
+    case PickleOpCode::SETITEMS: {
+      TORCH_CHECK(!marks_.empty(), "Parsing error: marks_ is empty");
+      size_t start = marks_.back();
+      marks_.pop_back();
+      TORCH_CHECK(
+          start > 0 && start <= stack_.size(),
+          "Parsing error: wrong start index for stack_");
+      auto dict = stack_.at(start - 1).toGenericDict();
+      TORCH_CHECK(
+          (stack_.size() - start) % 2 == 0,
+          "Parsing error: stack_ is of size ",
+          stack_.size(),
+          " and start index is ",
+          start,
+          ", but stack_ is iterated by two elemenst at a time");
+      for (size_t i = start; i < stack_.size(); i += 2) {
+        dict.insert_or_assign(stack_[i], stack_[i + 1]);
+      }
+      stack_.erase(
+          stack_.begin() + static_cast<std::ptrdiff_t>(start), stack_.end());
+    } break;
+    case PickleOpCode::BINGET: {
+      auto pos = read<uint8_t>();
+      TORCH_CHECK(
+          memo_table_.size() > pos,
+          "Parsing error: out of bounds access at ",
+          (size_t)pos,
+          " to memo_table_ which is of size ",
+          memo_table_.size());
+      stack_.push_back(memo_table_.at(pos));
+    } break;
+    case PickleOpCode::LONG_BINGET: {
+      auto pos = read<uint32_t>();
+      TORCH_CHECK(
+          memo_table_.size() > pos,
+          "Parsing error: out of bounds access at ",
+          (size_t)pos,
+          " to memo_table_ which is of size ",
+          memo_table_.size());
+      stack_.push_back(memo_table_.at(pos));
+    } break;
+    case PickleOpCode::STOP:
+      break;
+    case PickleOpCode::GLOBAL: {
+      // Module name, it's not needed for anything
+      auto module_name = readString();
+      auto class_name = readString();
+      readGlobal(module_name, class_name);
+    } break;
+    case PickleOpCode::NEWOBJ: {
+      TORCH_CHECK(!stack_.empty(), "Parsing error: stack_ is empty");
+      // pop empty tuple, the actual action is stored in the globals_stack_
+      stack_.pop_back();
+    } break;
+    // because we have NEWOBJ do nothing, BUILD and REDUCE end up doing
+    // the same thing
+    case PickleOpCode::BUILD:
+    case PickleOpCode::REDUCE: {
+      // stack is: <functor_idx> <functor_arg>
+      // extract <functor_idx> and remove from the stack:
+      TORCH_CHECK(
+          stack_.size() > 1,
+          "Parsing error: stack_ contains ",
+          stack_.size(),
+          " elements, at least 2 expected");
+
+      // In the OrderedDict case, the id has already been materialized
+      // and added to the stack, thus there's no <functor_idx> but a Dict
+      // there, in this case we can just pop the functor args and break.
+      // The functor args in this case contain some other metadata like
+      // '{_metadata: {: {version: 1}}}' which seem to be safe to ignore.
+      if (stack_.at(stack_.size() - 2).isGenericDict()) {
+        stack_.pop_back();
+        break;
+      }
+    
+      std::swap(*(stack_.end() - 2), *(stack_.end() - 1));
+      size_t idx = stack_.back().toInt();
+      stack_.pop_back();
+      // stack is: <functor_arg>
+      TORCH_CHECK(
+          idx < globals_.size(),
+          "Parsing error: out of bounds access to globals_");
+      globals_.at(idx)();
+    } break;
+    case PickleOpCode::BINPERSID: {
+      TORCH_CHECK(!stack_.empty(), "Parsing error: stack_ is empty");
+      auto tuple = pop(stack_).toTuple();
+      const auto& args = tuple->elements();
+      AT_ASSERT(
+          args.at(0).toStringRef() == "storage",
+          "unknown PERSID key ",
+          args.at(0).toStringRef());
+      at::ScalarType type = args.at(1).toScalarType();
+      const std::string& key = args.at(2).toStringRef();
+
+      at::Device device(args.at(3).toStringRef());
+      // remap device location if it's not meta
+      if (device_ && !device.is_meta()) {
+        device = *device_;
+      }
+
+      at::Storage storage;
+      if (storage_context_ != nullptr && storage_context_->hasStorage(key)) {
+        // for torch.package logic where storage may be loaded already
+        storage = storage_context_->getStorage(key);
+      } else {
+        int64_t numel = args.at(4).toInt();
+        auto dtype = scalarTypeToTypeMeta(type);
+
+        at::DataPtr storage_ptr;
+        if (numel > 0) {
+          // If there are no elements in the tensor, there's no point in
+          // reading a zero (0) byte file from the input stream and paying
+          // that cost.
+          storage_ptr = read_record_(key);
+        }
+
+        storage = at::Storage(
+            c10::Storage::use_byte_size_t(),
+            numel * dtype.itemsize(),
+            std::move(storage_ptr),
+            /*allocator=*/nullptr,
+            /*resizable=*/false); // NB: we didn't set any allocator for the
+                                  // tensor
+        if (storage_context_ != nullptr) {
+          storage_context_->addStorage(key, storage);
+        }
+      }
+
+      auto options = at::device(at::kCPU).dtype(type);
+      if (use_storage_device_) {
+        options = options.device(storage.device());
+        device = storage.device();
+      }
+
+      at::Tensor tensor;
+      if (options.backend() == c10::Backend::QuantizedCPU) {
+        tensor = at::_empty_affine_quantized({}, options, 0, 0)
+                     .set_(storage, 0, {}, {});
+      } else {
+        tensor = at::empty({0}, options).set_(storage);
+      }
+
+      if (device.is_cuda() || device.is_xpu() || device.is_meta() ||
+          device.is_hpu() || device.is_mps() || device.is_privateuseone()) {
+        tensor = tensor.to(device, tensor.scalar_type());
+      } else if (device.type() != DeviceType::CPU) {
+        TORCH_CHECK(
+            false,
+            "supported devices include CPU, CUDA, HPU and ",
+            c10::get_privateuse1_backend(),
+            " however got ",
+            DeviceTypeName(device.type(), false));
+      }
+      stack_.emplace_back(std::move(tensor));
+    } break;
+    case PickleOpCode::SETITEM: {
+      // At this OpCode, stack looks like
+      // | Stack Bottom |
+      // | ......       |
+      // | Dict         | -> (stack_size - 3)
+      // | Key          | -> (stack_size - 2)
+      // | Value        | -> (stack_size - 1)
+      TORCH_CHECK(
+          stack_.size() >= 3,
+          "Parsing error: stack doesn't have enough elements");
+
+      auto stack_size = stack_.size();
+      auto dict_pos = stack_size - 3;
+      auto key_pos = stack_size - 2;
+      auto val_pos = stack_size - 1;
+
+      TORCH_CHECK(
+          (dict_pos < stack_size) && (key_pos < stack_size) &&
+              (val_pos < stack_size),
+          "Parsing error: attempted out-of-bounds access while processing SETITEM opcode");
+
+      auto dict = stack_.at(dict_pos).toGenericDict();
+      dict.insert_or_assign(stack_.at(key_pos), stack_.at(val_pos));
+      stack_.erase(
+          stack_.begin() + static_cast<std::ptrdiff_t>(key_pos), stack_.end());
+    } break;
+    default: {
+      TORCH_CHECK(
+          false,
+          "Unknown opcode for unpickling at ",
+          // NOLINTNEXTLINE(performance-no-int-to-ptr)
+          reinterpret_cast<void*>(opcode),
+          ": ",
+          int(static_cast<uint8_t>(opcode)));
+    } break;
+  }
+  return opcode;
+}
+
+void LanternUnpickler::run() {
+  // Expect a PROTO opcode and protocol number at the start of blob
+  auto opcode = readOpCode();
+  TORCH_CHECK(
+      opcode == PickleOpCode::PROTO,
+      "Expected PROTO opcode at the start"
+      " of pickle archive, found ",
+      int(static_cast<uint8_t>(opcode)));
+  uint8_t protocol = read<uint8_t>();
+  TORCH_CHECK(
+      protocol == 2,
+      "Only Pickle protocol 2 is supported, found protocol = ",
+      protocol);
+
+  while (true) {
+    PickleOpCode opcode = readInstruction();
+    if (opcode == PickleOpCode::STOP) {
+      return;
+    }
+  }
+}
+
+IValue LanternUnpickler::parse_ivalue() {
+  run();
+  TORCH_CHECK(
+      stack_.size() == 1,
+      "Unpickler expected 1 element on the stack, but found ",
+      stack_.size());
+  if (version_ <= 2) {
+    // See [type tag serialization]
+    restoreAccurateTypeTagsIfPossible(stack_[0]);
+  }
+  return stack_[0];
+}
+
+void LanternUnpickler::rebuildTensorFromTypeV2() {
+  // [NOTE] skip_next_read_global
+  // When rebuilding Tensor with Python Attr or Subclassed Tensor,
+  // we receive `(func, type(self), args, state)` on stack for
+  // `rebuildTensorFromTypeV2`.
+  // Thus next call to readGlobal corresponds to `func` which is
+  // the function to rebuild the base tensor.
+  // The call after `func` to readGlobal corresponds to `type` of the
+  // Tensor where we raise warning if the type is not `torch.Tensor`.
+  this->skip_next_read_global = 2;
+  auto curr_globals_idx = globals_.size();
+  globals_.emplace_back([this, curr_globals_idx] {
+    // args is a tuple with following data
+    //  (function to rebuild base tensor, type of tensor,
+    //   arguments to construct base tensor, Python State (as dict))
+    auto args = pop(stack_).toTuple();
+    size_t tup_idx = 0;
+    const auto args_elems = args->elements();
+    auto base_tensor_args = args_elems.at(tup_idx + 2).toTuple();
+    auto py_state = args_elems.at(tup_idx + 3).toGenericDict();
+    if (!py_state.empty()) {
+      TORCH_WARN(
+          "Loading Tensor with Python attributes will return at::Tensor with Python attributes being discarded");
     }
-    bool requires_grad = elements.at(idx).toBool();
-    // elements[idx++] is empty backwards hooks
-    at::TensorImpl* impl = result.unsafeGetTensorImpl();
-    impl->set_storage_keep_dtype(storage_tensor.storage());
-    impl->set_storage_offset(storage_offset);
-    impl->set_sizes_and_strides(size, stride);
-    result = autograd::make_variable(result, requires_grad);
-    stack_.emplace_back(std::move(result));
+    // This calls the function to rebuild the
+    // base tensor.
+    // Eg. `rebuildTensor`, `rebuildSpareTensor`.
+    stack_.emplace_back(base_tensor_args);
+    globals_[curr_globals_idx + 1]();
+    stack_.emplace_back(pop(stack_));
   });
 }
 
@@ -1187,7 +1215,7 @@ void LanternUnpickler::readSlowWithBuffer(char* dest, size_t sz) {
   AT_ASSERT(sz <= buffer_.size());
   buffer_remaining_ = reader_(buffer_.data(), buffer_.size());
   if (buffer_remaining_ < needed) {
-    AT_ERROR("Unexpected end of pickler archive.");
+    TORCH_CHECK(false, "Unexpected end of pickler archive.");
   }
   memcpy(dest + from_old_buf, buffer_.data(), needed);
   buffer_pos_ = needed; // assignment (0'ed from read)
@@ -1198,6 +1226,11 @@ void LanternUnpickler::readSlowWithBuffer(char* dest, size_t sz) {
 std::string LanternUnpickler::readBytes(size_t length) {
   std::string data;
   static const size_t kSmallString = 64;
+  TORCH_CHECK(
+      length <= data.max_size(),
+      "Parsing error: can't read ",
+      length,
+      " bytes to a string");
   if (length <= buffer_remaining_) {
     // Fast-path: entirely in buffer.
     data.assign(buffer_.data() + buffer_pos_, length);
@@ -1220,7 +1253,7 @@ std::string LanternUnpickler::readBytes(size_t length) {
     const size_t needed = length - from_old_buf;
     size_t nread = reader_(&data[from_old_buf], needed);
     if (nread != needed) {
-      AT_ERROR("Unexpected end of pickler archive.");
+      TORCH_CHECK(false, "Unexpected end of pickler archive.");
     }
     buffer_remaining_ = 0;
     // buffer_pos_ has no meaning with buffer_remaining_ == 0.
@@ -1228,12 +1261,7 @@ std::string LanternUnpickler::readBytes(size_t length) {
   return data;
 }
 
-// Pop all the list items off of the stack and append them to the list at
-// the corresponding MARK
-void LanternUnpickler::readList(IValue list_ivalue) {
-  TORCH_CHECK(!marks_.empty(), "Parsing error: marks_ is empty");
-  size_t start = marks_.back();
-  marks_.pop_back();
+void LanternUnpickler::readListElements(IValue list_ivalue, size_t start) {
   auto num_elements = stack_.size() - start;
   auto elements = c10::ArrayRef<IValue>(stack_).slice(start);
   if (list_ivalue.isIntList()) {
@@ -1267,236 +1295,169 @@ void LanternUnpickler::readList(IValue list_ivalue) {
       list.emplace_back(elem);
     }
   } else {
-    AT_ERROR("Unknown IValue list kind: ", list_ivalue.tagKind());
-  }
-
-  stack_.erase(stack_.begin() + start, stack_.end());
-}
-
-inline bool is_valid_python_id_char(char c) {
-  return c == '_' || c == '.' || (c >= '0' && c <= '9') ||
-      (c >= 'a' && c <= 'z') || (c >= 'A' && c <= 'Z');
-}
-
-// Read a newline terminated string
-std::string LanternUnpickler::readString() {
-  std::string ss;
-  while (true) {
-    auto* const bufferStart = buffer_.data() + buffer_pos_;
-    const auto bufferLeft = buffer_.size() - buffer_pos_;
-    char* const newlinePtr =
-        static_cast<char*>(memchr(bufferStart, '\n', bufferLeft));
-    if (newlinePtr) {
-      // read up to newline and we are done.
-      auto const charsRead = newlinePtr - bufferStart;
-      ss.append(bufferStart, charsRead);
-      buffer_remaining_ -= charsRead + 1;
-      buffer_pos_ += charsRead + 1;
-      break;
-    } else {
-      // read whole buffer, refill
-      for (const char* p = bufferStart; p < bufferStart + bufferLeft; ++p) {
-        // Simple check just in case there is no terminating '\n'
-        TORCH_CHECK(
-            is_valid_python_id_char(*p),
-            "Found character '",
-            int(uint8_t(*p)),
-            "' in string, ",
-            "strings must be qualified Python identifiers");
-      }
-      ss.append(bufferStart, bufferLeft);
-      buffer_remaining_ = reader_(buffer_.data(), buffer_.size());
-      buffer_pos_ = 0;
-    }
+    TORCH_CHECK(false, "Unknown IValue list kind: ", list_ivalue.tagKind());
   }
-  return ss;
+  stack_.erase(
+      stack_.begin() + static_cast<std::ptrdiff_t>(start), stack_.end());
 }
 
-} // namespace jit
-} // namespace torch
-
-#include <caffe2/serialize/inline_container.h>
-#include <torch/csrc/jit/serialization/import_read.h>
-
-namespace torch {
-namespace jit {
-
-IValue readArchiveAndTensors(
-    const std::string& archive_name,
-    const std::string& pickle_prefix,
-    const std::string& tensor_prefix,
-    c10::optional<TypeResolver> type_resolver,
-    c10::optional<ObjLoader> obj_loader,
-    c10::optional<at::Device> device,
-    caffe2::serialize::PyTorchStreamReader& stream_reader,
-    c10::TypePtr (*type_parser)(const std::string&),
-    std::shared_ptr<DeserializationStorageContext> storage_context) {
-  std::string picklename = pickle_prefix + archive_name + ".pkl";
-  at::DataPtr pickle_ptr;
-  size_t pickle_size = 0;
-  std::tie(pickle_ptr, pickle_size) = stream_reader.getRecord(picklename);
-
-  size_t bytes_read = 0;
-  auto data = reinterpret_cast<const char*>(pickle_ptr.get());
-  auto reader = [&](char* buffer, size_t len) -> size_t {
-    if (bytes_read >= pickle_size) {
-      return 0;
-    }
-    len = std::min(pickle_size - bytes_read, len);
-    // Copy len bytes into buffer
-    const char* start = data + bytes_read;
-    std::memcpy(buffer, start, len);
-    bytes_read += len;
-    return len;
-  };
-
-  std::string tensor_dir_path =
-      (tensor_prefix.compare("") != 0) ? tensor_prefix : archive_name + "/";
-
-  auto read_record = [&](const std::string& name) {
-    std::string ss = tensor_dir_path + name;
-    return std::get<0>(stream_reader.getRecord(ss));
-  };
-
-  LanternUnpickler unpickler(
-      reader,
-      type_resolver ? std::move(*type_resolver) : nullptr,
-      obj_loader ? std::move(*obj_loader) : nullptr,
-      std::move(read_record),
-      device,
-      false,
-      type_parser,
-      storage_context);
-  unpickler.set_version(stream_reader.version());
-  return unpickler.parse_ivalue();
-}
-}
+// Pop all the list items off of the stack and append them to the list at
+// the corresponding MARK
+void LanternUnpickler::readList(IValue list_ivalue) {
+  TORCH_CHECK(!marks_.empty(), "Parsing error: marks_ is empty");
+  size_t start = marks_.back();
+  marks_.pop_back();
+  readListElements(std::move(list_ivalue), start);
 }
 
-#include <torch/csrc/jit/serialization/pickle.h>
-
-#include <ATen/core/ivalue.h>
-#include <caffe2/serialize/inline_container.h>
-#include <torch/csrc/Export.h>
-#include <torch/csrc/jit/serialization/export.h>
-#include <torch/csrc/jit/serialization/import_read.h>
+double LanternUnpickler::readFloat() {
+  AT_ASSERT(sizeof(double) == 8);
+  double big_endian = read<double>();
+#if __BYTE_ORDER__ == __ORDER_LITTLE_ENDIAN__
+  double little_endian = 0;
 
-namespace torch {
-namespace jit {
+  // Pickle floats are big endian, so reverse the bytes
+  auto big_endian_ptr = reinterpret_cast<const char*>(&big_endian);
+  std::reverse_copy(
+      big_endian_ptr,
+      big_endian_ptr + sizeof(big_endian),
+      reinterpret_cast<char*>(&little_endian));
 
-void pickle(
-    std::function<void(const char* data_start, size_t data_len)> writer,
-    const IValue& ivalue,
-    std::vector<at::Tensor>* tensor_table) {
-  Pickler pickler(std::move(writer), tensor_table, nullptr, nullptr);
-  pickler.protocol();
-  pickler.pushIValue(ivalue);
-  pickler.stop();
+  return little_endian;
+#elif __BYTE_ORDER__ == __ORDER_BIG_ENDIAN__
+  return big_endian;
+#else
+#error Unexpected or undefined __BYTE_ORDER__
+#endif
 }
 
-std::vector<char> pickle(
-    const IValue& ivalue,
-    std::vector<at::Tensor>* tensor_table) {
-  std::vector<char> data;
-
-  pickle(
-      [&](const char* bytes, size_t len) {
-        data.insert(data.end(), bytes, bytes + len);
-      },
-      ivalue,
-      tensor_table);
-
-  return data;
+static std::vector<int64_t> tupleToIntList(const IValue& v) {
+  return fmap(v.toTupleRef().elements(), [](const IValue& v) -> int64_t {
+    return v.toInt();
+  });
 }
 
-#ifndef C10_MOBILE
-class VectorReader : public caffe2::serialize::ReadAdapterInterface {
- public:
-  VectorReader(std::vector<char> data) : data_(std::move(data)) {}
-
-  size_t size() const override {
-    return data_.size();
-  }
-
-  size_t read(uint64_t pos, void* buf, size_t n, const char* what)
-      const override {
-    std::copy(
-        data_.data() + pos,
-        data_.data() + pos + n,
-        reinterpret_cast<char*>(buf));
-    return n;
-  }
-
- private:
-  std::vector<char> data_;
-};
-#endif
+void LanternUnpickler::rebuildTensor(bool quantized) {
+  globals_.emplace_back([this, quantized] {
+    auto tup = pop(stack_).toTuple();
+    const auto& elements = tup->elements();
+    size_t idx = 0;
+    auto& storage_tensor = elements.at(idx++).toTensor();
+    int64_t storage_offset = elements.at(idx++).toInt();
+    std::vector<int64_t> size = tupleToIntList(elements.at(idx++));
+    std::vector<int64_t> stride = tupleToIntList(elements.at(idx++));
+    at::Tensor result;
+    if (quantized) {
+      auto qparams_tuple = elements.at(idx++).toTuple();
+      const auto& qparams = qparams_tuple->elements();
+      auto qscheme = static_cast<at::QScheme>(qparams.at(0).toInt());
+      switch (qscheme) {
+        case at::kPerTensorAffine: {
+          double q_scale = qparams.at(1).toDouble();
+          int64_t q_zero_point = qparams.at(2).toInt();
+          result = at::_empty_affine_quantized(
+              {0}, storage_tensor.options(), q_scale, q_zero_point);
+        } break;
+        case at::kPerChannelAffineFloatQParams:
+        case at::kPerChannelAffine: {
+          const auto& scales = qparams.at(1).toTensor();
+          const auto& zero_points = qparams.at(2).toTensor();
+          int64_t axis = qparams.at(3).toInt();
+          result = at::_empty_per_channel_affine_quantized(
+              {0}, scales, zero_points, axis, storage_tensor.options());
+        } break;
+        default:
+          TORCH_CHECK(
+              false,
+              "Unsupported tensor quantization type in serialization ",
+              toString(qscheme));
+          break;
+      }
+    } else {
+      result = at::empty({0}, storage_tensor.options());
+    }
+    bool requires_grad = elements.at(idx++).toBool();
+    idx++; // backwards hooks is empty
+    at::TensorImpl* impl = result.unsafeGetTensorImpl();
+    impl->set_storage_keep_dtype(storage_tensor.storage());
+    impl->set_storage_offset(storage_offset);
+    impl->set_sizes_and_strides(size, stride);
+    result = autograd::make_variable(result, requires_grad);
 
-IValue pickle_load2(const std::vector<char>& data) {
-  // Read in the pickle data
-#ifndef C10_MOBILE
-  caffe2::serialize::PyTorchStreamReader reader(
-      std::make_unique<VectorReader>(data));
-
-  return readArchiveAndTensors(
-      "data",
-      /*pickle_prefix=*/"",
-      /*tensor_prefix=*/"",
-      /*type_resolver=*/c10::nullopt,
-      /*obj_loader=*/c10::nullopt,
-      /*device=*/c10::nullopt,
-      reader);
-#else
-  AT_ERROR(
-      "pickle_load not supported on mobile "
-      "(see https://github.com/pytorch/pytorch/pull/30108)");
-#endif
-}
+    // Handle if math_bits were pickled.
+    // See `args` of _reduce_ex_internal
+    // for a regular tensor (final else case).
+    // Tensors pickled before this patch didn't
+    // have this argument for storing MathBits,
+    // in that case, we do nothing.
+    // NOTE: `math_bits` is the 7th arg.
+    // NOTE: This is only meant for regular tensor and not quantized
+    //       which also has 7 args serialized.
+    if (!quantized && elements.size() == 7) {
+      auto math_bits = elements.at(idx++).toGenericDict();
+      torch::jit::setTensorMetadata(result, math_bits);
+    }
 
-IValue pickle_load3(std::string path) {
-  caffe2::serialize::PyTorchStreamReader reader(path);
-  return readArchiveAndTensors(
-    "data",
-    /*pickle_prefix=*/"",
-    /*tensor_prefix=*/"",
-    /*type_resolver=*/c10::nullopt,
-    /*obj_loader=*/c10::nullopt,
-    /*device=*/c10::nullopt,
-    reader);
+    stack_.emplace_back(std::move(result));
+  });
 }
 
-IValue unpickle(
-    std::function<size_t(char*, size_t)> reader,
-    TypeResolver type_resolver,
-    c10::ArrayRef<at::Tensor> tensor_table,
-    c10::TypePtr (*type_parser)(const std::string&)) {
-  LanternUnpickler unpickler(
-      std::move(reader), std::move(type_resolver), tensor_table, type_parser);
-  return unpickler.parse_ivalue();
+void LanternUnpickler::rebuildSparseTensor() {
+  globals_.emplace_back([this] {
+    auto tup = pop(stack_).toTuple();
+    const auto& elements = tup->elements();
+    size_t idx = 0;
+    auto layout = elements.at(idx++).toInt();
+    at::Tensor result;
+    switch (layout) {
+      case static_cast<int>(c10::Layout::Sparse): {
+        std::vector<int64_t> size = tupleToIntList(elements.at(idx++));
+        bool requires_grad = elements.at(idx++).toBool();
+        auto& indices_tensor = elements.at(idx++).toTensor();
+        auto& values_tensor = elements.at(idx++).toTensor();
+        auto options = values_tensor.options()
+                           .layout(c10::Layout::Sparse)
+                           .requires_grad(requires_grad);
+        result = at::_sparse_coo_tensor_unsafe(
+            indices_tensor, values_tensor, size, options);
+        result = autograd::make_variable(result, options.requires_grad());
+        break;
+      }
+      case static_cast<int>(c10::Layout::SparseCsr): {
+        std::vector<int64_t> size = tupleToIntList(elements.at(idx++));
+        bool requires_grad = elements.at(idx++).toBool();
+        auto& crow_indices = elements.at(idx++).toTensor();
+        auto& col_indices = elements.at(idx++).toTensor();
+        auto& values_tensor = elements.at(idx++).toTensor();
+        auto options = values_tensor.options()
+                           .layout(c10::Layout::SparseCsr)
+                           .requires_grad(requires_grad);
+        result = at::_sparse_csr_tensor_unsafe(
+            crow_indices, col_indices, values_tensor, size, options);
+        result =
+            autograd::make_variable(std::move(result), options.requires_grad());
+        break;
+      }
+      default:
+        TORCH_CHECK(
+            false,
+            "Unsupported sparse tensor layout type in serialization ",
+            static_cast<c10::Layout>(layout));
+        break;
+    }
+    stack_.emplace_back(std::move(result));
+  });
 }
 
-IValue unpickle(
-    const char* data,
-    size_t size,
-    TypeResolver type_resolver,
-    c10::ArrayRef<at::Tensor> tensor_table,
-    c10::TypePtr (*type_parser)(const std::string&)) {
-  size_t bytes_read = 0;
-  return unpickle(
-      [&](char* buffer, size_t len) -> size_t {
-        if (bytes_read >= size) {
-          return 0;
-        }
-        len = std::min(size - bytes_read, len);
-        // Copy len bytes into buffer
-        const char* start = data + bytes_read;
-        std::memcpy(buffer, start, len);
-        bytes_read += len;
-        return len;
-      },
-      std::move(type_resolver),
-      tensor_table,
-      type_parser);
+void LanternUnpickler::setInput(size_t memo_id) {
+  AT_ASSERT(!stack_.empty());
+  if (memo_id >= memo_table_.size()) {
+    memo_table_.insert(
+        memo_table_.end(), memo_id - memo_table_.size(), IValue());
+    memo_table_.push_back(stack_.back());
+  } else {
+    memo_table_[memo_id] = stack_.back();
+  }
 }
 
 } // namespace jit
diff --git a/src/lantern/src/Unpickler.h b/src/lantern/src/Unpickler.h
new file mode 100644
index 0000000000..bd764d5506
--- /dev/null
+++ b/src/lantern/src/Unpickler.h
@@ -0,0 +1,19 @@
+#include <torch/csrc/jit/serialization/unpickler.h>
+
+#ifdef _WIN32
+#define API __declspec(dllexport)
+#else
+#define API
+#endif
+
+namespace torch {
+namespace jit {
+
+API IValue lantern_read_pickle(
+    const std::string& archive_name,
+    caffe2::serialize::PyTorchStreamReader& stream_reader);
+
+} // namespace jit
+} // namespace torch
+
+#undef API
\ No newline at end of file
diff --git a/src/lantern/src/lantern.cpp b/src/lantern/src/lantern.cpp
index 72edf9ce88..7db0f3cf2e 100644
--- a/src/lantern/src/lantern.cpp
+++ b/src/lantern/src/lantern.cpp
@@ -1,11 +1,8 @@
+#include <torch/torch.h>
 #include <iostream>
 
 #define LANTERN_BUILD
-
 #include "lantern/lantern.h"
-
-#include <torch/torch.h>
-
 #include "utils.hpp"
 
 int lanternLogEnabled = 0;
@@ -287,14 +284,94 @@ void* _lantern__assert_async_tensor(void* self)
   LANTERN_FUNCTION_END
 }
 
+void* _lantern__assert_async_tensor_cstringview(void* self, void* assert_msg)
+{
+  LANTERN_FUNCTION_START
+    torch::_assert_async(from_raw::Tensor(self), from_raw::string_view(assert_msg));
+    return NULL;
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__assert_scalar_scalar_cstringview(void* self, void* assert_msg)
+{
+  LANTERN_FUNCTION_START
+    torch::_assert_scalar(from_raw::Scalar(self), from_raw::string_view(assert_msg));
+    return NULL;
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__functional_assert_scalar_scalar_cstringview_tensor(void* self, void* assert_msg, void* dep_token)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_functional_assert_scalar(
+        from_raw::Scalar(self), from_raw::string_view(assert_msg), from_raw::Tensor(dep_token)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__functional_assert_async_tensor_cstringview_tensor(void* self, void* assert_msg, void* dep_token)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_functional_assert_async(
+        from_raw::Tensor(self), from_raw::string_view(assert_msg), from_raw::Tensor(dep_token)));
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern__assert_tensor_metadata_tensor_intarrayref_intarrayref_scalartype(void* a, void* size, void* stride, void* dtype)
 {
   LANTERN_FUNCTION_START
-    torch::_assert_tensor_metadata(from_raw::Tensor(a), from_raw::IntArrayRef(size), from_raw::IntArrayRef(stride), from_raw::optional::ScalarType(dtype));
+    torch::_assert_tensor_metadata(from_raw::Tensor(a), from_raw::optional::IntArrayRef(size), from_raw::optional::IntArrayRef(stride), from_raw::optional::ScalarType(dtype));
+    return NULL;
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__print_cstringview(void* s)
+{
+  LANTERN_FUNCTION_START
+    torch::_print(from_raw::string_view(s));
+    return NULL;
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern_sym_constrain_range_scalar_intt_intt(void* size, void* min, void* max)
+{
+  LANTERN_FUNCTION_START
+    torch::sym_constrain_range(from_raw::Scalar(size), from_raw::optional::int64_t(min), from_raw::optional::int64_t(max));
+    return NULL;
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern_sym_constrain_range_for_size_scalar_intt_intt(void* size, void* min, void* max)
+{
+  LANTERN_FUNCTION_START
+    torch::sym_constrain_range_for_size(from_raw::Scalar(size), from_raw::optional::int64_t(min), from_raw::optional::int64_t(max));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
+void* _lantern__functional_sym_constrain_range_scalar_intt_intt_tensor(void* size, void* min, void* max, void* dep_token)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_functional_sym_constrain_range(
+        from_raw::Scalar(size), from_raw::optional::int64_t(min), from_raw::optional::int64_t(max), from_raw::Tensor(dep_token)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__functional_sym_constrain_range_for_size_scalar_intt_intt_tensor(void* size, void* min, void* max, void* dep_token)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_functional_sym_constrain_range_for_size(
+        from_raw::Scalar(size), from_raw::optional::int64_t(min), from_raw::optional::int64_t(max), from_raw::Tensor(dep_token)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__make_dep_token_tensoroptions_memoryformat(void* options, void* memory_format)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_make_dep_token(
+        from_raw::TensorOptions(options), from_raw::optional::MemoryFormat(memory_format)));
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern_Tensor_refine_names_tensor_dimnamelist(void* self, void* names)
 {
   LANTERN_FUNCTION_START
@@ -1159,6 +1236,14 @@ void* _lantern__test_check_tensor_tensor(void* self)
   LANTERN_FUNCTION_END
 }
 
+void* _lantern__test_functorch_fallback_tensor_tensor(void* self, void* other)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_test_functorch_fallback(
+        from_raw::Tensor(self), from_raw::Tensor(other)));
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern_all_tensor_intt_bool(void* self, void* dim, void* keepdim)
 {
   LANTERN_FUNCTION_START
@@ -1175,6 +1260,22 @@ void* _lantern_Tensor_all_tensor_intt_bool(void* self, void* dim, void* keepdim)
   LANTERN_FUNCTION_END
 }
 
+void* _lantern_all_tensor_intarrayref_bool(void* self, void* dim, void* keepdim)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::all(
+        from_raw::Tensor(self), from_raw::optional::IntArrayRef(dim), from_raw::bool_t(keepdim)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern_Tensor_all_tensor_intarrayref_bool(void* self, void* dim, void* keepdim)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(from_raw::Tensor(self).all(
+        from_raw::optional::IntArrayRef(dim), from_raw::bool_t(keepdim)));
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern_all_out_tensor_tensor_intt_bool(void* out, void* self, void* dim, void* keepdim)
 {
   LANTERN_FUNCTION_START
@@ -1183,6 +1284,14 @@ void* _lantern_all_out_tensor_tensor_intt_bool(void* out, void* self, void* dim,
   LANTERN_FUNCTION_END
 }
 
+void* _lantern_all_out_tensor_tensor_intarrayref_bool(void* out, void* self, void* dim, void* keepdim)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::all_out(
+        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::optional::IntArrayRef(dim), from_raw::bool_t(keepdim)));
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern_all_tensor_dimname_bool(void* self, void* dim, void* keepdim)
 {
   LANTERN_FUNCTION_START
@@ -1239,6 +1348,22 @@ void* _lantern_Tensor_any_tensor_intt_bool(void* self, void* dim, void* keepdim)
   LANTERN_FUNCTION_END
 }
 
+void* _lantern_any_tensor_intarrayref_bool(void* self, void* dim, void* keepdim)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::any(
+        from_raw::Tensor(self), from_raw::optional::IntArrayRef(dim), from_raw::bool_t(keepdim)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern_Tensor_any_tensor_intarrayref_bool(void* self, void* dim, void* keepdim)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(from_raw::Tensor(self).any(
+        from_raw::optional::IntArrayRef(dim), from_raw::bool_t(keepdim)));
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern_any_out_tensor_tensor_intt_bool(void* out, void* self, void* dim, void* keepdim)
 {
   LANTERN_FUNCTION_START
@@ -1247,6 +1372,14 @@ void* _lantern_any_out_tensor_tensor_intt_bool(void* out, void* self, void* dim,
   LANTERN_FUNCTION_END
 }
 
+void* _lantern_any_out_tensor_tensor_intarrayref_bool(void* out, void* self, void* dim, void* keepdim)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::any_out(
+        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::optional::IntArrayRef(dim), from_raw::bool_t(keepdim)));
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern_any_tensor_dimname_bool(void* self, void* dim, void* keepdim)
 {
   LANTERN_FUNCTION_START
@@ -2143,6 +2276,22 @@ void* _lantern_copysign_out_tensor_tensor_scalar(void* out, void* self, void* ot
   LANTERN_FUNCTION_END
 }
 
+void* _lantern__lazy_clone_tensor(void* self)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_lazy_clone(
+        from_raw::Tensor(self)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern_Tensor__lazy_clone_tensor(void* self)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(from_raw::Tensor(self)._lazy_clone(
+        ));
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern_logical_not_tensor(void* self)
 {
   LANTERN_FUNCTION_START
@@ -2971,7 +3120,7 @@ void* _lantern_convolution_backward_tensor_tensor_tensor_intarrayref_intarrayref
 {
   LANTERN_FUNCTION_START
     return make_raw::tuple(torch::convolution_backward(
-        from_raw::Tensor(grad_output), from_raw::Tensor(input), from_raw::Tensor(weight), from_raw::IntArrayRef(bias_sizes), from_raw::IntArrayRef(stride), from_raw::IntArrayRef(padding), from_raw::IntArrayRef(dilation), from_raw::bool_t(transposed), from_raw::IntArrayRef(output_padding), from_raw::int64_t(groups), from_raw::vector::bool_t(output_mask)));
+        from_raw::Tensor(grad_output), from_raw::Tensor(input), from_raw::Tensor(weight), from_raw::optional::IntArrayRef(bias_sizes), from_raw::IntArrayRef(stride), from_raw::IntArrayRef(padding), from_raw::IntArrayRef(dilation), from_raw::bool_t(transposed), from_raw::IntArrayRef(output_padding), from_raw::int64_t(groups), from_raw::vector::bool_t(output_mask)));
   LANTERN_FUNCTION_END
 }
 
@@ -3335,6 +3484,14 @@ void* _lantern_cudnn_convolution_tensor_tensor_intarrayref_intarrayref_intarrayr
   LANTERN_FUNCTION_END
 }
 
+void* _lantern_cudnn_convolution_out_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intt_bool_bool_bool(void* out, void* self, void* weight, void* padding, void* stride, void* dilation, void* groups, void* benchmark, void* deterministic, void* allow_tf32)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::cudnn_convolution_out(
+        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::Tensor(weight), from_raw::IntArrayRef(padding), from_raw::IntArrayRef(stride), from_raw::IntArrayRef(dilation), from_raw::int64_t(groups), from_raw::bool_t(benchmark), from_raw::bool_t(deterministic), from_raw::bool_t(allow_tf32)));
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern_cudnn_convolution_transpose_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt_bool_bool_bool(void* self, void* weight, void* padding, void* output_padding, void* stride, void* dilation, void* groups, void* benchmark, void* deterministic, void* allow_tf32)
 {
   LANTERN_FUNCTION_START
@@ -4227,7 +4384,7 @@ void* _lantern_einsum_cstringview_tensorlist_intarrayref(void* equation, void* t
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::einsum(
-        from_raw::string_view(equation), from_raw::TensorList(tensors), from_raw::IntArrayRef(path)));
+        from_raw::string_view(equation), from_raw::TensorList(tensors), from_raw::optional::IntArrayRef(path)));
   LANTERN_FUNCTION_END
 }
 
@@ -4375,6 +4532,14 @@ void* _lantern_empty_intarrayref_tensoroptions_memoryformat(void* size, void* op
   LANTERN_FUNCTION_END
 }
 
+void* _lantern_empty_permuted_intarrayref_intarrayref_tensoroptions(void* size, void* physical_layout, void* options)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::empty_permuted(
+        from_raw::IntArrayRef(size), from_raw::IntArrayRef(physical_layout), from_raw::TensorOptions(options)));
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern_Tensor_new_empty_tensor_intarrayref_tensoroptions(void* self, void* size, void* options)
 {
   LANTERN_FUNCTION_START
@@ -5343,39 +5508,39 @@ void* _lantern__validate_compressed_sparse_indices_bool_tensor_tensor_intt_intt_
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__cufft_get_plan_cache_size_intt(void* device_index)
+void* _lantern__cufft_get_plan_cache_size_deviceindex(void* device_index)
 {
   LANTERN_FUNCTION_START
     return make_raw::int64_t(torch::_cufft_get_plan_cache_size(
-        from_raw::int64_t(device_index)));
+        from_raw::DeviceIndex(device_index)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__cufft_get_plan_cache_max_size_intt(void* device_index)
+void* _lantern__cufft_get_plan_cache_max_size_deviceindex(void* device_index)
 {
   LANTERN_FUNCTION_START
     return make_raw::int64_t(torch::_cufft_get_plan_cache_max_size(
-        from_raw::int64_t(device_index)));
+        from_raw::DeviceIndex(device_index)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__cufft_set_plan_cache_max_size_intt_intt(void* device_index, void* max_size)
+void* _lantern__cufft_set_plan_cache_max_size_deviceindex_intt(void* device_index, void* max_size)
 {
   LANTERN_FUNCTION_START
-    torch::_cufft_set_plan_cache_max_size(from_raw::int64_t(device_index), from_raw::int64_t(max_size));
+    torch::_cufft_set_plan_cache_max_size(from_raw::DeviceIndex(device_index), from_raw::int64_t(max_size));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__cufft_clear_plan_cache_intt(void* device_index)
+void* _lantern__cufft_clear_plan_cache_deviceindex(void* device_index)
 {
   LANTERN_FUNCTION_START
-    torch::_cufft_clear_plan_cache(from_raw::int64_t(device_index));
+    torch::_cufft_clear_plan_cache(from_raw::DeviceIndex(device_index));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_index_tensor_constclistcoptionaltensor(void* self, void* indices)
+void* _lantern_index_tensor_constcliststdoptionaltensor(void* self, void* indices)
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::index(
@@ -5383,7 +5548,7 @@ void* _lantern_index_tensor_constclistcoptionaltensor(void* self, void* indices)
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_Tensor_index_tensor_constclistcoptionaltensor(void* self, void* indices)
+void* _lantern_Tensor_index_tensor_constcliststdoptionaltensor(void* self, void* indices)
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(from_raw::Tensor(self).index(
@@ -5391,7 +5556,7 @@ void* _lantern_Tensor_index_tensor_constclistcoptionaltensor(void* self, void* i
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_index_out_tensor_tensor_constclistcoptionaltensor(void* out, void* self, void* indices)
+void* _lantern_index_out_tensor_tensor_constcliststdoptionaltensor(void* out, void* self, void* indices)
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::index_out(
@@ -5399,6 +5564,30 @@ void* _lantern_index_out_tensor_tensor_constclistcoptionaltensor(void* out, void
   LANTERN_FUNCTION_END
 }
 
+void* _lantern__unsafe_index_tensor_constcliststdoptionaltensor(void* self, void* indices)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_unsafe_index(
+        from_raw::Tensor(self), from_raw::optional::TensorList(indices)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__unsafe_masked_index_tensor_tensor_constcliststdoptionaltensor_scalar(void* self, void* mask, void* indices, void* fill)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_unsafe_masked_index(
+        from_raw::Tensor(self), from_raw::Tensor(mask), from_raw::optional::TensorList(indices), from_raw::Scalar(fill)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__unsafe_masked_index_put_accumulate_tensor_tensor_constcliststdoptionaltensor_tensor(void* self, void* mask, void* indices, void* values)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_unsafe_masked_index_put_accumulate(
+        from_raw::Tensor(self), from_raw::Tensor(mask), from_raw::optional::TensorList(indices), from_raw::Tensor(values)));
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern_index_copy_out_tensor_tensor_intt_tensor_tensor(void* out, void* self, void* dim, void* index, void* source)
 {
   LANTERN_FUNCTION_START
@@ -5455,7 +5644,7 @@ void* _lantern_Tensor_index_copy_tensor_dimname_tensor_tensor(void* self, void*
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_index_put__tensor_constclistcoptionaltensor_tensor_bool(void* self, void* indices, void* values, void* accumulate)
+void* _lantern_index_put__tensor_constcliststdoptionaltensor_tensor_bool(void* self, void* indices, void* values, void* accumulate)
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::index_put_(
@@ -5463,7 +5652,7 @@ void* _lantern_index_put__tensor_constclistcoptionaltensor_tensor_bool(void* sel
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_Tensor_index_put__tensor_constclistcoptionaltensor_tensor_bool(void* self, void* indices, void* values, void* accumulate)
+void* _lantern_Tensor_index_put__tensor_constcliststdoptionaltensor_tensor_bool(void* self, void* indices, void* values, void* accumulate)
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(from_raw::Tensor(self).index_put_(
@@ -5471,7 +5660,7 @@ void* _lantern_Tensor_index_put__tensor_constclistcoptionaltensor_tensor_bool(vo
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_index_put_tensor_constclistcoptionaltensor_tensor_bool(void* self, void* indices, void* values, void* accumulate)
+void* _lantern_index_put_tensor_constcliststdoptionaltensor_tensor_bool(void* self, void* indices, void* values, void* accumulate)
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::index_put(
@@ -5479,7 +5668,7 @@ void* _lantern_index_put_tensor_constclistcoptionaltensor_tensor_bool(void* self
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_Tensor_index_put_tensor_constclistcoptionaltensor_tensor_bool(void* self, void* indices, void* values, void* accumulate)
+void* _lantern_Tensor_index_put_tensor_constcliststdoptionaltensor_tensor_bool(void* self, void* indices, void* values, void* accumulate)
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(from_raw::Tensor(self).index_put(
@@ -5487,7 +5676,15 @@ void* _lantern_Tensor_index_put_tensor_constclistcoptionaltensor_tensor_bool(voi
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__index_put_impl__tensor_constclistcoptionaltensor_tensor_bool_bool(void* self, void* indices, void* values, void* accumulate, void* unsafe)
+void* _lantern__unsafe_index_put_tensor_constcliststdoptionaltensor_tensor_bool(void* self, void* indices, void* values, void* accumulate)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_unsafe_index_put(
+        from_raw::Tensor(self), from_raw::optional::TensorList(indices), from_raw::Tensor(values), from_raw::bool_t(accumulate)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__index_put_impl__tensor_constcliststdoptionaltensor_tensor_bool_bool(void* self, void* indices, void* values, void* accumulate, void* unsafe)
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::_index_put_impl_(
@@ -5863,6 +6060,14 @@ void* _lantern_native_layer_norm_backward_tensor_tensor_intarrayref_tensor_tenso
   LANTERN_FUNCTION_END
 }
 
+void* _lantern_rms_norm_tensor_intarrayref_tensor_double(void* input, void* normalized_shape, void* weight, void* eps)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::rms_norm(
+        from_raw::Tensor(input), from_raw::IntArrayRef(normalized_shape), from_raw::optional::Tensor(weight), from_raw::optional::double_t(eps)));
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern_nan_to_num_tensor_double_double_double(void* self, void* nan, void* posinf, void* neginf)
 {
   LANTERN_FUNCTION_START
@@ -5959,6 +6164,86 @@ void* _lantern_mkldnn_linear_backward_tensor_tensor_tensor_stdarraybool(void* se
   LANTERN_FUNCTION_END
 }
 
+void* _lantern__cslt_compress_tensor(void* input)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_cslt_compress(
+        from_raw::Tensor(input)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__cslt_sparse_mm_tensor_tensor_tensor_tensor_scalartype_bool_intt(void* compressed_A, void* dense_B, void* bias, void* alpha, void* out_dtype, void* transpose_result, void* alg_id)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_cslt_sparse_mm(
+        from_raw::Tensor(compressed_A), from_raw::Tensor(dense_B), from_raw::optional::Tensor(bias), from_raw::optional::Tensor(alpha), from_raw::optional::ScalarType(out_dtype), from_raw::bool_t(transpose_result), from_raw::int64_t(alg_id)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__cslt_sparse_mm_search_tensor_tensor_tensor_tensor_scalartype_bool(void* compressed_A, void* dense_B, void* bias, void* alpha, void* out_dtype, void* transpose_result)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::int64_t(torch::_cslt_sparse_mm_search(
+        from_raw::Tensor(compressed_A), from_raw::Tensor(dense_B), from_raw::optional::Tensor(bias), from_raw::optional::Tensor(alpha), from_raw::optional::ScalarType(out_dtype), from_raw::bool_t(transpose_result)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__sparse_semi_structured_tile_tensor_cstringview_bool(void* input, void* algorithm, void* use_cutlass)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::tuple(torch::_sparse_semi_structured_tile(
+        from_raw::Tensor(input), from_raw::string_view(algorithm), from_raw::bool_t(use_cutlass)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__sparse_semi_structured_apply_tensor_tensor(void* input, void* thread_masks)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::tuple(torch::_sparse_semi_structured_apply(
+        from_raw::Tensor(input), from_raw::Tensor(thread_masks)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__sparse_semi_structured_apply_dense_tensor_tensor(void* input, void* thread_masks)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_sparse_semi_structured_apply_dense(
+        from_raw::Tensor(input), from_raw::Tensor(thread_masks)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__sparse_semi_structured_linear_tensor_tensor_tensor_tensor_cstringview_scalartype(void* input, void* weight, void* meta, void* bias, void* activation, void* out_dtype)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_sparse_semi_structured_linear(
+        from_raw::Tensor(input), from_raw::Tensor(weight), from_raw::Tensor(meta), from_raw::optional::Tensor(bias), from_raw::optional::string_view(activation), from_raw::optional::ScalarType(out_dtype)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__sparse_semi_structured_mm_tensor_tensor_tensor_scalartype(void* mat1, void* mat1_meta, void* mat2, void* out_dtype)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_sparse_semi_structured_mm(
+        from_raw::Tensor(mat1), from_raw::Tensor(mat1_meta), from_raw::Tensor(mat2), from_raw::optional::ScalarType(out_dtype)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__sparse_semi_structured_addmm_tensor_tensor_tensor_tensor_scalar_scalar_scalartype(void* input, void* mat1, void* mat1_meta, void* mat2, void* alpha, void* beta, void* out_dtype)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_sparse_semi_structured_addmm(
+        from_raw::Tensor(input), from_raw::Tensor(mat1), from_raw::Tensor(mat1_meta), from_raw::Tensor(mat2), from_raw::Scalar(alpha), from_raw::Scalar(beta), from_raw::optional::ScalarType(out_dtype)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__mixed_dtypes_linear_tensor_tensor_tensor_tensor_cstringview(void* input, void* weight, void* scale, void* bias, void* activation)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_mixed_dtypes_linear(
+        from_raw::Tensor(input), from_raw::Tensor(weight), from_raw::Tensor(scale), from_raw::optional::Tensor(bias), from_raw::optional::string_view(activation)));
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern_fbgemm_linear_int8_weight_fp32_activation_tensor_tensor_tensor_tensor_scalar_scalar_tensor(void* input, void* weight, void* packed, void* col_offsets, void* weight_scale, void* weight_zero_point, void* bias)
 {
   LANTERN_FUNCTION_START
@@ -5991,6 +6276,22 @@ void* _lantern_fbgemm_pack_gemm_matrix_fp16_tensor(void* input)
   LANTERN_FUNCTION_END
 }
 
+void* _lantern__wrapped_linear_prepack_tensor_tensor_tensor_tensor(void* weight, void* weight_scale, void* weight_zero_point, void* bias)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_wrapped_linear_prepack(
+        from_raw::Tensor(weight), from_raw::Tensor(weight_scale), from_raw::Tensor(weight_zero_point), from_raw::Tensor(bias)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__wrapped_quantized_linear_prepacked_tensor_tensor_tensor_tensor_tensor_tensor_intt(void* input, void* input_scale, void* input_zero_point, void* packed_weight, void* output_scale, void* output_zero_point, void* out_channel)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_wrapped_quantized_linear_prepacked(
+        from_raw::Tensor(input), from_raw::Tensor(input_scale), from_raw::Tensor(input_zero_point), from_raw::Tensor(packed_weight), from_raw::Tensor(output_scale), from_raw::Tensor(output_zero_point), from_raw::int64_t(out_channel)));
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern_fbgemm_linear_fp16_weight_fp32_activation_tensor_tensor_tensor(void* input, void* packed_weight, void* bias)
 {
   LANTERN_FUNCTION_START
@@ -6071,6 +6372,30 @@ void* _lantern_linspace_scalar_scalar_intt_tensoroptions(void* start, void* end,
   LANTERN_FUNCTION_END
 }
 
+void* _lantern_linspace_tensor_tensor_intt_tensoroptions(void* start, void* end, void* steps, void* options)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::linspace(
+        from_raw::Tensor(start), from_raw::Tensor(end), from_raw::int64_t(steps), from_raw::TensorOptions(options)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern_linspace_tensor_scalar_intt_tensoroptions(void* start, void* end, void* steps, void* options)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::linspace(
+        from_raw::Tensor(start), from_raw::Scalar(end), from_raw::int64_t(steps), from_raw::TensorOptions(options)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern_linspace_scalar_tensor_intt_tensoroptions(void* start, void* end, void* steps, void* options)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::linspace(
+        from_raw::Scalar(start), from_raw::Tensor(end), from_raw::int64_t(steps), from_raw::TensorOptions(options)));
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern_linspace_out_tensor_scalar_scalar_intt(void* out, void* start, void* end, void* steps)
 {
   LANTERN_FUNCTION_START
@@ -6079,6 +6404,30 @@ void* _lantern_linspace_out_tensor_scalar_scalar_intt(void* out, void* start, vo
   LANTERN_FUNCTION_END
 }
 
+void* _lantern_linspace_out_tensor_tensor_tensor_intt(void* out, void* start, void* end, void* steps)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::linspace_out(
+        from_raw::Tensor(out), from_raw::Tensor(start), from_raw::Tensor(end), from_raw::int64_t(steps)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern_linspace_out_tensor_tensor_scalar_intt(void* out, void* start, void* end, void* steps)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::linspace_out(
+        from_raw::Tensor(out), from_raw::Tensor(start), from_raw::Scalar(end), from_raw::int64_t(steps)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern_linspace_out_tensor_scalar_tensor_intt(void* out, void* start, void* end, void* steps)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::linspace_out(
+        from_raw::Tensor(out), from_raw::Scalar(start), from_raw::Tensor(end), from_raw::int64_t(steps)));
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern_log_tensor(void* self)
 {
   LANTERN_FUNCTION_START
@@ -6391,15 +6740,63 @@ void* _lantern_logspace_scalar_scalar_intt_double_tensoroptions(void* start, voi
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_logspace_out_tensor_scalar_scalar_intt_double(void* out, void* start, void* end, void* steps, void* base)
+void* _lantern_logspace_tensor_tensor_intt_double_tensoroptions(void* start, void* end, void* steps, void* base, void* options)
 {
   LANTERN_FUNCTION_START
-    return make_raw::Tensor(torch::logspace_out(
-        from_raw::Tensor(out), from_raw::Scalar(start), from_raw::Scalar(end), from_raw::int64_t(steps), from_raw::double_t(base)));
+    return make_raw::Tensor(torch::logspace(
+        from_raw::Tensor(start), from_raw::Tensor(end), from_raw::int64_t(steps), from_raw::double_t(base), from_raw::TensorOptions(options)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_log_softmax_tensor_intt_scalartype(void* self, void* dim, void* dtype)
+void* _lantern_logspace_tensor_scalar_intt_double_tensoroptions(void* start, void* end, void* steps, void* base, void* options)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::logspace(
+        from_raw::Tensor(start), from_raw::Scalar(end), from_raw::int64_t(steps), from_raw::double_t(base), from_raw::TensorOptions(options)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern_logspace_scalar_tensor_intt_double_tensoroptions(void* start, void* end, void* steps, void* base, void* options)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::logspace(
+        from_raw::Scalar(start), from_raw::Tensor(end), from_raw::int64_t(steps), from_raw::double_t(base), from_raw::TensorOptions(options)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern_logspace_out_tensor_scalar_scalar_intt_double(void* out, void* start, void* end, void* steps, void* base)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::logspace_out(
+        from_raw::Tensor(out), from_raw::Scalar(start), from_raw::Scalar(end), from_raw::int64_t(steps), from_raw::double_t(base)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern_logspace_out_tensor_tensor_tensor_intt_double(void* out, void* start, void* end, void* steps, void* base)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::logspace_out(
+        from_raw::Tensor(out), from_raw::Tensor(start), from_raw::Tensor(end), from_raw::int64_t(steps), from_raw::double_t(base)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern_logspace_out_tensor_tensor_scalar_intt_double(void* out, void* start, void* end, void* steps, void* base)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::logspace_out(
+        from_raw::Tensor(out), from_raw::Tensor(start), from_raw::Scalar(end), from_raw::int64_t(steps), from_raw::double_t(base)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern_logspace_out_tensor_scalar_tensor_intt_double(void* out, void* start, void* end, void* steps, void* base)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::logspace_out(
+        from_raw::Tensor(out), from_raw::Scalar(start), from_raw::Tensor(end), from_raw::int64_t(steps), from_raw::double_t(base)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern_log_softmax_tensor_intt_scalartype(void* self, void* dim, void* dtype)
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::log_softmax(
@@ -6887,6 +7284,14 @@ void* _lantern_quantized_max_pool2d_tensor_intarrayref_intarrayref_intarrayref_i
   LANTERN_FUNCTION_END
 }
 
+void* _lantern_quantized_max_pool3d_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool(void* self, void* kernel_size, void* stride, void* padding, void* dilation, void* ceil_mode)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::quantized_max_pool3d(
+        from_raw::Tensor(self), from_raw::IntArrayRef(kernel_size), from_raw::IntArrayRef(stride), from_raw::IntArrayRef(padding), from_raw::IntArrayRef(dilation), from_raw::bool_t(ceil_mode)));
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern_max_pool3d_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool(void* self, void* kernel_size, void* stride, void* padding, void* dilation, void* ceil_mode)
 {
   LANTERN_FUNCTION_START
@@ -6911,11 +7316,19 @@ void* _lantern_Tensor_mean_tensor_scalartype(void* self, void* dtype)
   LANTERN_FUNCTION_END
 }
 
+void* _lantern_mean_out_tensor_tensor_scalartype(void* out, void* self, void* dtype)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::mean_out(
+        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::optional::ScalarType(dtype)));
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern_mean_tensor_intarrayref_bool_scalartype(void* self, void* dim, void* keepdim, void* dtype)
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::mean(
-        from_raw::Tensor(self), from_raw::IntArrayRef(dim), from_raw::bool_t(keepdim), from_raw::optional::ScalarType(dtype)));
+        from_raw::Tensor(self), from_raw::optional::IntArrayRef(dim), from_raw::bool_t(keepdim), from_raw::optional::ScalarType(dtype)));
   LANTERN_FUNCTION_END
 }
 
@@ -6923,7 +7336,7 @@ void* _lantern_Tensor_mean_tensor_intarrayref_bool_scalartype(void* self, void*
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(from_raw::Tensor(self).mean(
-        from_raw::IntArrayRef(dim), from_raw::bool_t(keepdim), from_raw::optional::ScalarType(dtype)));
+        from_raw::optional::IntArrayRef(dim), from_raw::bool_t(keepdim), from_raw::optional::ScalarType(dtype)));
   LANTERN_FUNCTION_END
 }
 
@@ -6931,7 +7344,7 @@ void* _lantern_mean_out_tensor_tensor_intarrayref_bool_scalartype(void* out, voi
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::mean_out(
-        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::IntArrayRef(dim), from_raw::bool_t(keepdim), from_raw::optional::ScalarType(dtype)));
+        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::optional::IntArrayRef(dim), from_raw::bool_t(keepdim), from_raw::optional::ScalarType(dtype)));
   LANTERN_FUNCTION_END
 }
 
@@ -6963,7 +7376,7 @@ void* _lantern_nanmean_tensor_intarrayref_bool_scalartype(void* self, void* dim,
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::nanmean(
-        from_raw::Tensor(self), from_raw::IntArrayRef(dim), from_raw::bool_t(keepdim), from_raw::optional::ScalarType(dtype)));
+        from_raw::Tensor(self), from_raw::optional::IntArrayRef(dim), from_raw::bool_t(keepdim), from_raw::optional::ScalarType(dtype)));
   LANTERN_FUNCTION_END
 }
 
@@ -6971,7 +7384,7 @@ void* _lantern_Tensor_nanmean_tensor_intarrayref_bool_scalartype(void* self, voi
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(from_raw::Tensor(self).nanmean(
-        from_raw::IntArrayRef(dim), from_raw::bool_t(keepdim), from_raw::optional::ScalarType(dtype)));
+        from_raw::optional::IntArrayRef(dim), from_raw::bool_t(keepdim), from_raw::optional::ScalarType(dtype)));
   LANTERN_FUNCTION_END
 }
 
@@ -6979,7 +7392,7 @@ void* _lantern_nanmean_out_tensor_tensor_intarrayref_bool_scalartype(void* out,
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::nanmean_out(
-        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::IntArrayRef(dim), from_raw::bool_t(keepdim), from_raw::optional::ScalarType(dtype)));
+        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::optional::IntArrayRef(dim), from_raw::bool_t(keepdim), from_raw::optional::ScalarType(dtype)));
   LANTERN_FUNCTION_END
 }
 
@@ -7319,6 +7732,46 @@ void* _lantern_mm_out_tensor_tensor_tensor(void* out, void* self, void* mat2)
   LANTERN_FUNCTION_END
 }
 
+void* _lantern__int_mm_tensor_tensor(void* self, void* mat2)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_int_mm(
+        from_raw::Tensor(self), from_raw::Tensor(mat2)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__int_mm_out_tensor_tensor_tensor(void* out, void* self, void* mat2)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_int_mm_out(
+        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::Tensor(mat2)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__convert_weight_to_int4pack_tensor_intt(void* self, void* innerKTiles)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_convert_weight_to_int4pack(
+        from_raw::Tensor(self), from_raw::int64_t(innerKTiles)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__weight_int4pack_mm_tensor_tensor_intt_tensor(void* self, void* mat2, void* qGroupSize, void* qScaleAndZeros)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_weight_int4pack_mm(
+        from_raw::Tensor(self), from_raw::Tensor(mat2), from_raw::int64_t(qGroupSize), from_raw::Tensor(qScaleAndZeros)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__weight_int8pack_mm_tensor_tensor_tensor(void* self, void* mat2, void* scales)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_weight_int8pack_mm(
+        from_raw::Tensor(self), from_raw::Tensor(mat2), from_raw::Tensor(scales)));
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern__sparse_mm_tensor_tensor(void* sparse, void* dense)
 {
   LANTERN_FUNCTION_START
@@ -7639,6 +8092,14 @@ void* _lantern__native_batch_norm_legit_tensor_tensor_tensor_tensor_tensor_bool_
   LANTERN_FUNCTION_END
 }
 
+void* _lantern__native_batch_norm_legit_no_training_tensor_tensor_tensor_tensor_tensor_double_double(void* input, void* weight, void* bias, void* running_mean, void* running_var, void* momentum, void* eps)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::tuple(torch::_native_batch_norm_legit_no_training(
+        from_raw::Tensor(input), from_raw::optional::Tensor(weight), from_raw::optional::Tensor(bias), from_raw::Tensor(running_mean), from_raw::Tensor(running_var), from_raw::double_t(momentum), from_raw::double_t(eps)));
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern__native_batch_norm_legit_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_double_double(void* out, void* save_mean, void* save_invstd, void* input, void* weight, void* bias, void* running_mean, void* running_var, void* training, void* momentum, void* eps)
 {
   LANTERN_FUNCTION_START
@@ -7719,11 +8180,11 @@ void* _lantern_batch_norm_backward_reduce_tensor_tensor_tensor_tensor_tensor_boo
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_batch_norm_backward_elemt_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor(void* grad_out, void* input, void* mean, void* invstd, void* weight, void* mean_dy, void* mean_dy_xmu, void* count)
+void* _lantern_batch_norm_backward_elemt_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor(void* grad_out, void* input, void* mean, void* invstd, void* weight, void* sum_dy, void* sum_dy_xmu, void* count)
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::batch_norm_backward_elemt(
-        from_raw::Tensor(grad_out), from_raw::Tensor(input), from_raw::Tensor(mean), from_raw::Tensor(invstd), from_raw::optional::Tensor(weight), from_raw::Tensor(mean_dy), from_raw::Tensor(mean_dy_xmu), from_raw::Tensor(count)));
+        from_raw::Tensor(grad_out), from_raw::Tensor(input), from_raw::Tensor(mean), from_raw::Tensor(invstd), from_raw::optional::Tensor(weight), from_raw::Tensor(sum_dy), from_raw::Tensor(sum_dy_xmu), from_raw::Tensor(count)));
   LANTERN_FUNCTION_END
 }
 
@@ -9399,6 +9860,22 @@ void* _lantern_slice_backward_tensor_intarrayref_intt_intt_intt_intt(void* grad_
   LANTERN_FUNCTION_END
 }
 
+void* _lantern_slice_inverse_tensor_tensor_intt_intt_intt_intt(void* self, void* src, void* dim, void* start, void* end, void* step)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::slice_inverse(
+        from_raw::Tensor(self), from_raw::Tensor(src), from_raw::int64_t(dim), from_raw::optional::int64_t(start), from_raw::optional::int64_t(end), from_raw::int64_t(step)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern_Tensor_slice_inverse_tensor_tensor_intt_intt_intt_intt(void* self, void* src, void* dim, void* start, void* end, void* step)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(from_raw::Tensor(self).slice_inverse(
+        from_raw::Tensor(src), from_raw::int64_t(dim), from_raw::optional::int64_t(start), from_raw::optional::int64_t(end), from_raw::int64_t(step)));
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern_slice_scatter_tensor_tensor_intt_intt_intt_intt(void* self, void* src, void* dim, void* start, void* end, void* step)
 {
   LANTERN_FUNCTION_START
@@ -9847,6 +10324,22 @@ void* _lantern_sspaddmm_out_tensor_tensor_tensor_tensor_scalar_scalar(void* out,
   LANTERN_FUNCTION_END
 }
 
+void* _lantern__chunk_cat_tensorlist_intt_intt(void* tensors, void* dim, void* num_chunks)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_chunk_cat(
+        from_raw::TensorList(tensors), from_raw::int64_t(dim), from_raw::int64_t(num_chunks)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__chunk_cat_out_tensor_tensorlist_intt_intt(void* out, void* tensors, void* dim, void* num_chunks)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_chunk_cat_out(
+        from_raw::Tensor(out), from_raw::TensorList(tensors), from_raw::int64_t(dim), from_raw::int64_t(num_chunks)));
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern_stack_tensorlist_intt(void* tensors, void* dim)
 {
   LANTERN_FUNCTION_START
@@ -10027,7 +10520,7 @@ void* _lantern_sum_tensor_intarrayref_bool_scalartype(void* self, void* dim, voi
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::sum(
-        from_raw::Tensor(self), from_raw::IntArrayRef(dim), from_raw::bool_t(keepdim), from_raw::optional::ScalarType(dtype)));
+        from_raw::Tensor(self), from_raw::optional::IntArrayRef(dim), from_raw::bool_t(keepdim), from_raw::optional::ScalarType(dtype)));
   LANTERN_FUNCTION_END
 }
 
@@ -10035,7 +10528,7 @@ void* _lantern_Tensor_sum_tensor_intarrayref_bool_scalartype(void* self, void* d
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(from_raw::Tensor(self).sum(
-        from_raw::IntArrayRef(dim), from_raw::bool_t(keepdim), from_raw::optional::ScalarType(dtype)));
+        from_raw::optional::IntArrayRef(dim), from_raw::bool_t(keepdim), from_raw::optional::ScalarType(dtype)));
   LANTERN_FUNCTION_END
 }
 
@@ -10059,7 +10552,7 @@ void* _lantern_sum_out_tensor_tensor_intarrayref_bool_scalartype(void* out, void
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::sum_out(
-        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::IntArrayRef(dim), from_raw::bool_t(keepdim), from_raw::optional::ScalarType(dtype)));
+        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::optional::IntArrayRef(dim), from_raw::bool_t(keepdim), from_raw::optional::ScalarType(dtype)));
   LANTERN_FUNCTION_END
 }
 
@@ -10075,7 +10568,7 @@ void* _lantern__nested_sum_backward_tensor_tensor_intarrayref_bool(void* grad, v
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::_nested_sum_backward(
-        from_raw::Tensor(grad), from_raw::Tensor(self), from_raw::IntArrayRef(dim), from_raw::bool_t(keepdim)));
+        from_raw::Tensor(grad), from_raw::Tensor(self), from_raw::optional::IntArrayRef(dim), from_raw::bool_t(keepdim)));
   LANTERN_FUNCTION_END
 }
 
@@ -10083,7 +10576,7 @@ void* _lantern_nansum_tensor_intarrayref_bool_scalartype(void* self, void* dim,
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::nansum(
-        from_raw::Tensor(self), from_raw::IntArrayRef(dim), from_raw::bool_t(keepdim), from_raw::optional::ScalarType(dtype)));
+        from_raw::Tensor(self), from_raw::optional::IntArrayRef(dim), from_raw::bool_t(keepdim), from_raw::optional::ScalarType(dtype)));
   LANTERN_FUNCTION_END
 }
 
@@ -10091,7 +10584,7 @@ void* _lantern_Tensor_nansum_tensor_intarrayref_bool_scalartype(void* self, void
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(from_raw::Tensor(self).nansum(
-        from_raw::IntArrayRef(dim), from_raw::bool_t(keepdim), from_raw::optional::ScalarType(dtype)));
+        from_raw::optional::IntArrayRef(dim), from_raw::bool_t(keepdim), from_raw::optional::ScalarType(dtype)));
   LANTERN_FUNCTION_END
 }
 
@@ -10099,7 +10592,7 @@ void* _lantern_nansum_out_tensor_tensor_intarrayref_bool_scalartype(void* out, v
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::nansum_out(
-        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::IntArrayRef(dim), from_raw::bool_t(keepdim), from_raw::optional::ScalarType(dtype)));
+        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::optional::IntArrayRef(dim), from_raw::bool_t(keepdim), from_raw::optional::ScalarType(dtype)));
   LANTERN_FUNCTION_END
 }
 
@@ -10211,7 +10704,7 @@ void* _lantern_std_tensor_intarrayref_bool_bool(void* self, void* dim, void* unb
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::std(
-        from_raw::Tensor(self), from_raw::IntArrayRef(dim), from_raw::bool_t(unbiased), from_raw::bool_t(keepdim)));
+        from_raw::Tensor(self), from_raw::optional::IntArrayRef(dim), from_raw::bool_t(unbiased), from_raw::bool_t(keepdim)));
   LANTERN_FUNCTION_END
 }
 
@@ -10219,23 +10712,23 @@ void* _lantern_Tensor_std_tensor_intarrayref_bool_bool(void* self, void* dim, vo
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(from_raw::Tensor(self).std(
-        from_raw::IntArrayRef(dim), from_raw::bool_t(unbiased), from_raw::bool_t(keepdim)));
+        from_raw::optional::IntArrayRef(dim), from_raw::bool_t(unbiased), from_raw::bool_t(keepdim)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_std_tensor_intarrayref_intt_bool(void* self, void* dim, void* correction, void* keepdim)
+void* _lantern_std_tensor_intarrayref_scalar_bool(void* self, void* dim, void* correction, void* keepdim)
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::std(
-        from_raw::Tensor(self), from_raw::IntArrayRef(dim), from_raw::optional::int64_t(correction), from_raw::bool_t(keepdim)));
+        from_raw::Tensor(self), from_raw::optional::IntArrayRef(dim), from_raw::optional::Scalar(correction), from_raw::bool_t(keepdim)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_Tensor_std_tensor_intarrayref_intt_bool(void* self, void* dim, void* correction, void* keepdim)
+void* _lantern_Tensor_std_tensor_intarrayref_scalar_bool(void* self, void* dim, void* correction, void* keepdim)
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(from_raw::Tensor(self).std(
-        from_raw::IntArrayRef(dim), from_raw::optional::int64_t(correction), from_raw::bool_t(keepdim)));
+        from_raw::optional::IntArrayRef(dim), from_raw::optional::Scalar(correction), from_raw::bool_t(keepdim)));
   LANTERN_FUNCTION_END
 }
 
@@ -10251,15 +10744,15 @@ void* _lantern_std_mean_tensor_intarrayref_bool_bool(void* self, void* dim, void
 {
   LANTERN_FUNCTION_START
     return make_raw::tuple(torch::std_mean(
-        from_raw::Tensor(self), from_raw::IntArrayRef(dim), from_raw::bool_t(unbiased), from_raw::bool_t(keepdim)));
+        from_raw::Tensor(self), from_raw::optional::IntArrayRef(dim), from_raw::bool_t(unbiased), from_raw::bool_t(keepdim)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_std_mean_tensor_intarrayref_intt_bool(void* self, void* dim, void* correction, void* keepdim)
+void* _lantern_std_mean_tensor_intarrayref_scalar_bool(void* self, void* dim, void* correction, void* keepdim)
 {
   LANTERN_FUNCTION_START
     return make_raw::tuple(torch::std_mean(
-        from_raw::Tensor(self), from_raw::IntArrayRef(dim), from_raw::optional::int64_t(correction), from_raw::bool_t(keepdim)));
+        from_raw::Tensor(self), from_raw::optional::IntArrayRef(dim), from_raw::optional::Scalar(correction), from_raw::bool_t(keepdim)));
   LANTERN_FUNCTION_END
 }
 
@@ -10271,11 +10764,11 @@ void* _lantern_std_mean_tensor_dimnamelist_bool_bool(void* self, void* dim, void
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_std_mean_tensor_dimnamelist_intt_bool(void* self, void* dim, void* correction, void* keepdim)
+void* _lantern_std_mean_tensor_dimnamelist_scalar_bool(void* self, void* dim, void* correction, void* keepdim)
 {
   LANTERN_FUNCTION_START
     return make_raw::tuple(torch::std_mean(
-        from_raw::Tensor(self), from_raw::DimnameList(dim), from_raw::optional::int64_t(correction), from_raw::bool_t(keepdim)));
+        from_raw::Tensor(self), from_raw::DimnameList(dim), from_raw::optional::Scalar(correction), from_raw::bool_t(keepdim)));
   LANTERN_FUNCTION_END
 }
 
@@ -10283,15 +10776,15 @@ void* _lantern_std_out_tensor_tensor_intarrayref_bool_bool(void* out, void* self
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::std_out(
-        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::IntArrayRef(dim), from_raw::bool_t(unbiased), from_raw::bool_t(keepdim)));
+        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::optional::IntArrayRef(dim), from_raw::bool_t(unbiased), from_raw::bool_t(keepdim)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_std_out_tensor_tensor_intarrayref_intt_bool(void* out, void* self, void* dim, void* correction, void* keepdim)
+void* _lantern_std_out_tensor_tensor_intarrayref_scalar_bool(void* out, void* self, void* dim, void* correction, void* keepdim)
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::std_out(
-        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::IntArrayRef(dim), from_raw::optional::int64_t(correction), from_raw::bool_t(keepdim)));
+        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::optional::IntArrayRef(dim), from_raw::optional::Scalar(correction), from_raw::bool_t(keepdim)));
   LANTERN_FUNCTION_END
 }
 
@@ -10319,27 +10812,27 @@ void* _lantern_std_out_tensor_tensor_dimnamelist_bool_bool(void* out, void* self
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_std_tensor_dimnamelist_intt_bool(void* self, void* dim, void* correction, void* keepdim)
+void* _lantern_std_tensor_dimnamelist_scalar_bool(void* self, void* dim, void* correction, void* keepdim)
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::std(
-        from_raw::Tensor(self), from_raw::DimnameList(dim), from_raw::optional::int64_t(correction), from_raw::bool_t(keepdim)));
+        from_raw::Tensor(self), from_raw::DimnameList(dim), from_raw::optional::Scalar(correction), from_raw::bool_t(keepdim)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_Tensor_std_tensor_dimnamelist_intt_bool(void* self, void* dim, void* correction, void* keepdim)
+void* _lantern_Tensor_std_tensor_dimnamelist_scalar_bool(void* self, void* dim, void* correction, void* keepdim)
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(from_raw::Tensor(self).std(
-        from_raw::DimnameList(dim), from_raw::optional::int64_t(correction), from_raw::bool_t(keepdim)));
+        from_raw::DimnameList(dim), from_raw::optional::Scalar(correction), from_raw::bool_t(keepdim)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_std_out_tensor_tensor_dimnamelist_intt_bool(void* out, void* self, void* dim, void* correction, void* keepdim)
+void* _lantern_std_out_tensor_tensor_dimnamelist_scalar_bool(void* out, void* self, void* dim, void* correction, void* keepdim)
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::std_out(
-        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::DimnameList(dim), from_raw::optional::int64_t(correction), from_raw::bool_t(keepdim)));
+        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::DimnameList(dim), from_raw::optional::Scalar(correction), from_raw::bool_t(keepdim)));
   LANTERN_FUNCTION_END
 }
 
@@ -10807,10 +11300,10 @@ void* _lantern_Tensor__nested_tensor_strides_tensor(void* self)
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_Tensor__nested_tensor_offsets_tensor(void* self)
+void* _lantern_Tensor__nested_tensor_storage_offsets_tensor(void* self)
 {
   LANTERN_FUNCTION_START
-    return make_raw::IntArrayRef(from_raw::Tensor(self)._nested_tensor_offsets(
+    return make_raw::Tensor(from_raw::Tensor(self)._nested_tensor_storage_offsets(
         ));
   LANTERN_FUNCTION_END
 }
@@ -10823,19 +11316,107 @@ void* _lantern__nested_from_padded_and_nested_example_tensor_tensor(void* padded
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__nested_view_from_buffer_tensor_tensor_tensor_intarrayref(void* self, void* nested_size, void* nested_strides, void* offsets)
+void* _lantern__nested_view_from_buffer_tensor_tensor_tensor_tensor(void* self, void* nested_size, void* nested_strides, void* offsets)
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::_nested_view_from_buffer(
-        from_raw::Tensor(self), from_raw::Tensor(nested_size), from_raw::Tensor(nested_strides), from_raw::IntArrayRef(offsets)));
+        from_raw::Tensor(self), from_raw::Tensor(nested_size), from_raw::Tensor(nested_strides), from_raw::Tensor(offsets)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__nested_view_from_buffer_copy_tensor_tensor_tensor_intarrayref(void* self, void* nested_size, void* nested_strides, void* offsets)
+void* _lantern__nested_view_from_buffer_copy_tensor_tensor_tensor_tensor(void* self, void* nested_size, void* nested_strides, void* offsets)
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::_nested_view_from_buffer_copy(
-        from_raw::Tensor(self), from_raw::Tensor(nested_size), from_raw::Tensor(nested_strides), from_raw::IntArrayRef(offsets)));
+        from_raw::Tensor(self), from_raw::Tensor(nested_size), from_raw::Tensor(nested_strides), from_raw::Tensor(offsets)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__nested_view_from_jagged_tensor_tensor_tensor_tensor_intt_tensor_tensor(void* self, void* offsets, void* dummy, void* lengths, void* ragged_idx, void* min_seqlen, void* max_seqlen)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_nested_view_from_jagged(
+        from_raw::Tensor(self), from_raw::Tensor(offsets), from_raw::Tensor(dummy), from_raw::optional::Tensor(lengths), from_raw::int64_t(ragged_idx), from_raw::optional::Tensor(min_seqlen), from_raw::optional::Tensor(max_seqlen)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__nested_view_from_jagged_copy_tensor_tensor_tensor_tensor_intt_tensor_tensor(void* self, void* offsets, void* dummy, void* lengths, void* ragged_idx, void* min_seqlen, void* max_seqlen)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_nested_view_from_jagged_copy(
+        from_raw::Tensor(self), from_raw::Tensor(offsets), from_raw::Tensor(dummy), from_raw::optional::Tensor(lengths), from_raw::int64_t(ragged_idx), from_raw::optional::Tensor(min_seqlen), from_raw::optional::Tensor(max_seqlen)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__nested_get_values_tensor(void* self)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_nested_get_values(
+        from_raw::Tensor(self)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__nested_get_values_copy_tensor(void* self)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_nested_get_values_copy(
+        from_raw::Tensor(self)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__nested_get_offsets_tensor(void* self)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_nested_get_offsets(
+        from_raw::Tensor(self)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__nested_get_lengths_tensor(void* self)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_nested_get_lengths(
+        from_raw::Tensor(self)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__nested_get_ragged_idx_tensor(void* self)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::int64_t(torch::_nested_get_ragged_idx(
+        from_raw::Tensor(self)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__nested_get_min_seqlen_tensor(void* self)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_nested_get_min_seqlen(
+        from_raw::Tensor(self)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__nested_get_max_seqlen_tensor(void* self)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_nested_get_max_seqlen(
+        from_raw::Tensor(self)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__nested_get_jagged_dummy_tensor(void* any)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_nested_get_jagged_dummy(
+        from_raw::Tensor(any)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__nested_compute_contiguous_strides_offsets_tensor(void* nested_size)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::tuple(torch::_nested_compute_contiguous_strides_offsets(
+        from_raw::Tensor(nested_size)));
   LANTERN_FUNCTION_END
 }
 
@@ -11051,7 +11632,7 @@ void* _lantern_var_tensor_intarrayref_bool_bool(void* self, void* dim, void* unb
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::var(
-        from_raw::Tensor(self), from_raw::IntArrayRef(dim), from_raw::bool_t(unbiased), from_raw::bool_t(keepdim)));
+        from_raw::Tensor(self), from_raw::optional::IntArrayRef(dim), from_raw::bool_t(unbiased), from_raw::bool_t(keepdim)));
   LANTERN_FUNCTION_END
 }
 
@@ -11059,23 +11640,23 @@ void* _lantern_Tensor_var_tensor_intarrayref_bool_bool(void* self, void* dim, vo
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(from_raw::Tensor(self).var(
-        from_raw::IntArrayRef(dim), from_raw::bool_t(unbiased), from_raw::bool_t(keepdim)));
+        from_raw::optional::IntArrayRef(dim), from_raw::bool_t(unbiased), from_raw::bool_t(keepdim)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_var_tensor_intarrayref_intt_bool(void* self, void* dim, void* correction, void* keepdim)
+void* _lantern_var_tensor_intarrayref_scalar_bool(void* self, void* dim, void* correction, void* keepdim)
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::var(
-        from_raw::Tensor(self), from_raw::IntArrayRef(dim), from_raw::optional::int64_t(correction), from_raw::bool_t(keepdim)));
+        from_raw::Tensor(self), from_raw::optional::IntArrayRef(dim), from_raw::optional::Scalar(correction), from_raw::bool_t(keepdim)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_Tensor_var_tensor_intarrayref_intt_bool(void* self, void* dim, void* correction, void* keepdim)
+void* _lantern_Tensor_var_tensor_intarrayref_scalar_bool(void* self, void* dim, void* correction, void* keepdim)
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(from_raw::Tensor(self).var(
-        from_raw::IntArrayRef(dim), from_raw::optional::int64_t(correction), from_raw::bool_t(keepdim)));
+        from_raw::optional::IntArrayRef(dim), from_raw::optional::Scalar(correction), from_raw::bool_t(keepdim)));
   LANTERN_FUNCTION_END
 }
 
@@ -11083,15 +11664,15 @@ void* _lantern_var_out_tensor_tensor_intarrayref_bool_bool(void* out, void* self
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::var_out(
-        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::IntArrayRef(dim), from_raw::bool_t(unbiased), from_raw::bool_t(keepdim)));
+        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::optional::IntArrayRef(dim), from_raw::bool_t(unbiased), from_raw::bool_t(keepdim)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_var_out_tensor_tensor_intarrayref_intt_bool(void* out, void* self, void* dim, void* correction, void* keepdim)
+void* _lantern_var_out_tensor_tensor_intarrayref_scalar_bool(void* out, void* self, void* dim, void* correction, void* keepdim)
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::var_out(
-        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::IntArrayRef(dim), from_raw::optional::int64_t(correction), from_raw::bool_t(keepdim)));
+        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::optional::IntArrayRef(dim), from_raw::optional::Scalar(correction), from_raw::bool_t(keepdim)));
   LANTERN_FUNCTION_END
 }
 
@@ -11119,27 +11700,27 @@ void* _lantern_var_out_tensor_tensor_dimnamelist_bool_bool(void* out, void* self
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_var_tensor_dimnamelist_intt_bool(void* self, void* dim, void* correction, void* keepdim)
+void* _lantern_var_tensor_dimnamelist_scalar_bool(void* self, void* dim, void* correction, void* keepdim)
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::var(
-        from_raw::Tensor(self), from_raw::DimnameList(dim), from_raw::optional::int64_t(correction), from_raw::bool_t(keepdim)));
+        from_raw::Tensor(self), from_raw::DimnameList(dim), from_raw::optional::Scalar(correction), from_raw::bool_t(keepdim)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_Tensor_var_tensor_dimnamelist_intt_bool(void* self, void* dim, void* correction, void* keepdim)
+void* _lantern_Tensor_var_tensor_dimnamelist_scalar_bool(void* self, void* dim, void* correction, void* keepdim)
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(from_raw::Tensor(self).var(
-        from_raw::DimnameList(dim), from_raw::optional::int64_t(correction), from_raw::bool_t(keepdim)));
+        from_raw::DimnameList(dim), from_raw::optional::Scalar(correction), from_raw::bool_t(keepdim)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_var_out_tensor_tensor_dimnamelist_intt_bool(void* out, void* self, void* dim, void* correction, void* keepdim)
+void* _lantern_var_out_tensor_tensor_dimnamelist_scalar_bool(void* out, void* self, void* dim, void* correction, void* keepdim)
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::var_out(
-        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::DimnameList(dim), from_raw::optional::int64_t(correction), from_raw::bool_t(keepdim)));
+        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::DimnameList(dim), from_raw::optional::Scalar(correction), from_raw::bool_t(keepdim)));
   LANTERN_FUNCTION_END
 }
 
@@ -11155,15 +11736,15 @@ void* _lantern_var_mean_tensor_intarrayref_bool_bool(void* self, void* dim, void
 {
   LANTERN_FUNCTION_START
     return make_raw::tuple(torch::var_mean(
-        from_raw::Tensor(self), from_raw::IntArrayRef(dim), from_raw::bool_t(unbiased), from_raw::bool_t(keepdim)));
+        from_raw::Tensor(self), from_raw::optional::IntArrayRef(dim), from_raw::bool_t(unbiased), from_raw::bool_t(keepdim)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_var_mean_tensor_intarrayref_intt_bool(void* self, void* dim, void* correction, void* keepdim)
+void* _lantern_var_mean_tensor_intarrayref_scalar_bool(void* self, void* dim, void* correction, void* keepdim)
 {
   LANTERN_FUNCTION_START
     return make_raw::tuple(torch::var_mean(
-        from_raw::Tensor(self), from_raw::IntArrayRef(dim), from_raw::optional::int64_t(correction), from_raw::bool_t(keepdim)));
+        from_raw::Tensor(self), from_raw::optional::IntArrayRef(dim), from_raw::optional::Scalar(correction), from_raw::bool_t(keepdim)));
   LANTERN_FUNCTION_END
 }
 
@@ -11175,11 +11756,11 @@ void* _lantern_var_mean_tensor_dimnamelist_bool_bool(void* self, void* dim, void
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_var_mean_tensor_dimnamelist_intt_bool(void* self, void* dim, void* correction, void* keepdim)
+void* _lantern_var_mean_tensor_dimnamelist_scalar_bool(void* self, void* dim, void* correction, void* keepdim)
 {
   LANTERN_FUNCTION_START
     return make_raw::tuple(torch::var_mean(
-        from_raw::Tensor(self), from_raw::DimnameList(dim), from_raw::optional::int64_t(correction), from_raw::bool_t(keepdim)));
+        from_raw::Tensor(self), from_raw::DimnameList(dim), from_raw::optional::Scalar(correction), from_raw::bool_t(keepdim)));
   LANTERN_FUNCTION_END
 }
 
@@ -11399,6 +11980,38 @@ void* _lantern_native_norm_tensor_scalar_intarrayref_bool_scalartype(void* self,
   LANTERN_FUNCTION_END
 }
 
+void* _lantern__batch_norm_with_update_tensor_tensor_tensor_tensor_tensor_double_double(void* input, void* weight, void* bias, void* running_mean, void* running_var, void* momentum, void* eps)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::tuple(torch::_batch_norm_with_update(
+        from_raw::Tensor(input), from_raw::optional::Tensor(weight), from_raw::optional::Tensor(bias), from_raw::Tensor(running_mean), from_raw::Tensor(running_var), from_raw::double_t(momentum), from_raw::double_t(eps)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__batch_norm_with_update_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_double(void* out, void* save_mean, void* save_invstd, void* reserve, void* input, void* weight, void* bias, void* running_mean, void* running_var, void* momentum, void* eps)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::tuple(torch::_batch_norm_with_update_out(
+        from_raw::Tensor(out), from_raw::Tensor(save_mean), from_raw::Tensor(save_invstd), from_raw::Tensor(reserve), from_raw::Tensor(input), from_raw::optional::Tensor(weight), from_raw::optional::Tensor(bias), from_raw::Tensor(running_mean), from_raw::Tensor(running_var), from_raw::double_t(momentum), from_raw::double_t(eps)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__batch_norm_no_update_tensor_tensor_tensor_tensor_tensor_double_double(void* input, void* weight, void* bias, void* running_mean, void* running_var, void* momentum, void* eps)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::tuple(torch::_batch_norm_no_update(
+        from_raw::Tensor(input), from_raw::optional::Tensor(weight), from_raw::optional::Tensor(bias), from_raw::optional::Tensor(running_mean), from_raw::optional::Tensor(running_var), from_raw::double_t(momentum), from_raw::double_t(eps)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern_batch_norm_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_double_stdarraybool_tensor(void* grad_out, void* input, void* weight, void* running_mean, void* running_var, void* save_mean, void* save_var, void* update, void* eps, void* output_mask, void* reserve)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::tuple(torch::batch_norm_backward(
+        from_raw::Tensor(grad_out), from_raw::Tensor(input), from_raw::Tensor(weight), from_raw::optional::Tensor(running_mean), from_raw::optional::Tensor(running_var), from_raw::optional::Tensor(save_mean), from_raw::optional::Tensor(save_var), from_raw::bool_t(update), from_raw::double_t(eps), from_raw::vector::bool_t(output_mask), from_raw::Tensor(reserve)));
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern__sparse_sum_tensor(void* self)
 {
   LANTERN_FUNCTION_START
@@ -12063,6 +12676,30 @@ void* _lantern_Tensor__addmm_activation_tensor_tensor_tensor_scalar_scalar_bool(
   LANTERN_FUNCTION_END
 }
 
+void* _lantern__scaled_mm_tensor_tensor_tensor_tensor_tensor_tensor_scalartype_bool(void* self, void* mat2, void* scale_a, void* scale_b, void* bias, void* scale_result, void* out_dtype, void* use_fast_accum)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_scaled_mm(
+        from_raw::Tensor(self), from_raw::Tensor(mat2), from_raw::Tensor(scale_a), from_raw::Tensor(scale_b), from_raw::optional::Tensor(bias), from_raw::optional::Tensor(scale_result), from_raw::optional::ScalarType(out_dtype), from_raw::bool_t(use_fast_accum)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__scaled_mm_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_scalartype_bool(void* out, void* self, void* mat2, void* scale_a, void* scale_b, void* bias, void* scale_result, void* out_dtype, void* use_fast_accum)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_scaled_mm_out(
+        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::Tensor(mat2), from_raw::Tensor(scale_a), from_raw::Tensor(scale_b), from_raw::optional::Tensor(bias), from_raw::optional::Tensor(scale_result), from_raw::optional::ScalarType(out_dtype), from_raw::bool_t(use_fast_accum)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__sparse_compressed_tensor_with_dims_intt_intt_intarrayref_intarrayref_scalartype_tensoroptions(void* nnz, void* dense_dim, void* size, void* blocksize, void* index_dtype, void* options)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_sparse_compressed_tensor_with_dims(
+        from_raw::int64_t(nnz), from_raw::int64_t(dense_dim), from_raw::IntArrayRef(size), from_raw::IntArrayRef(blocksize), from_raw::ScalarType(index_dtype), from_raw::TensorOptions(options)));
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern_sparse_compressed_tensor_tensor_tensor_tensor_intarrayref_tensoroptions(void* compressed_indices, void* plain_indices, void* values, void* size, void* options)
 {
   LANTERN_FUNCTION_START
@@ -12191,34 +12828,34 @@ void* _lantern_sparse_coo_tensor_intarrayref_tensoroptions(void* size, void* opt
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_sparse_coo_tensor_tensor_tensor_tensoroptions(void* indices, void* values, void* options)
+void* _lantern_sparse_coo_tensor_tensor_tensor_tensoroptions_bool(void* indices, void* values, void* options, void* is_coalesced)
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::sparse_coo_tensor(
-        from_raw::Tensor(indices), from_raw::Tensor(values), from_raw::TensorOptions(options)));
+        from_raw::Tensor(indices), from_raw::Tensor(values), from_raw::TensorOptions(options), from_raw::optional::bool_t(is_coalesced)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_sparse_coo_tensor_tensor_tensor_intarrayref_tensoroptions(void* indices, void* values, void* size, void* options)
+void* _lantern_sparse_coo_tensor_tensor_tensor_intarrayref_tensoroptions_bool(void* indices, void* values, void* size, void* options, void* is_coalesced)
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::sparse_coo_tensor(
-        from_raw::Tensor(indices), from_raw::Tensor(values), from_raw::IntArrayRef(size), from_raw::TensorOptions(options)));
+        from_raw::Tensor(indices), from_raw::Tensor(values), from_raw::IntArrayRef(size), from_raw::TensorOptions(options), from_raw::optional::bool_t(is_coalesced)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__sparse_coo_tensor_unsafe_tensor_tensor_intarrayref_tensoroptions(void* indices, void* values, void* size, void* options)
+void* _lantern__sparse_coo_tensor_unsafe_tensor_tensor_intarrayref_tensoroptions_bool(void* indices, void* values, void* size, void* options, void* is_coalesced)
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::_sparse_coo_tensor_unsafe(
-        from_raw::Tensor(indices), from_raw::Tensor(values), from_raw::IntArrayRef(size), from_raw::TensorOptions(options)));
+        from_raw::Tensor(indices), from_raw::Tensor(values), from_raw::IntArrayRef(size), from_raw::TensorOptions(options), from_raw::optional::bool_t(is_coalesced)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__validate_sparse_coo_tensor_args_tensor_tensor_intarrayref(void* indices, void* values, void* size)
+void* _lantern__validate_sparse_coo_tensor_args_tensor_tensor_intarrayref_bool(void* indices, void* values, void* size, void* is_coalesced)
 {
   LANTERN_FUNCTION_START
-    torch::_validate_sparse_coo_tensor_args(from_raw::Tensor(indices), from_raw::Tensor(values), from_raw::IntArrayRef(size));
+    torch::_validate_sparse_coo_tensor_args(from_raw::Tensor(indices), from_raw::Tensor(values), from_raw::IntArrayRef(size), from_raw::optional::bool_t(is_coalesced));
     return NULL;
   LANTERN_FUNCTION_END
 }
@@ -12271,11 +12908,11 @@ void* _lantern__sparse_coo_tensor_with_dims_intt_intt_intarrayref_tensoroptions(
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__sparse_coo_tensor_with_dims_and_tensors_intt_intt_intarrayref_tensor_tensor_tensoroptions(void* sparse_dim, void* dense_dim, void* size, void* indices, void* values, void* options)
+void* _lantern__sparse_coo_tensor_with_dims_and_tensors_intt_intt_intarrayref_tensor_tensor_tensoroptions_bool(void* sparse_dim, void* dense_dim, void* size, void* indices, void* values, void* options, void* is_coalesced)
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::_sparse_coo_tensor_with_dims_and_tensors(
-        from_raw::int64_t(sparse_dim), from_raw::int64_t(dense_dim), from_raw::IntArrayRef(size), from_raw::Tensor(indices), from_raw::Tensor(values), from_raw::TensorOptions(options)));
+        from_raw::int64_t(sparse_dim), from_raw::int64_t(dense_dim), from_raw::IntArrayRef(size), from_raw::Tensor(indices), from_raw::Tensor(values), from_raw::TensorOptions(options), from_raw::optional::bool_t(is_coalesced)));
   LANTERN_FUNCTION_END
 }
 
@@ -12303,6 +12940,14 @@ void* _lantern_Tensor_sparse_mask_tensor_tensor(void* self, void* mask)
   LANTERN_FUNCTION_END
 }
 
+void* _lantern_Tensor__sparse_mask_projection_tensor_tensor_bool(void* self, void* mask, void* accumulate_matches)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(from_raw::Tensor(self)._sparse_mask_projection(
+        from_raw::Tensor(mask), from_raw::bool_t(accumulate_matches)));
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern__to_cpu_tensorlist(void* tensors)
 {
   LANTERN_FUNCTION_START
@@ -12311,27 +12956,27 @@ void* _lantern__to_cpu_tensorlist(void* tensors)
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_Tensor_to_dense_tensor_scalartype(void* self, void* dtype)
+void* _lantern_Tensor_to_dense_tensor_scalartype_bool(void* self, void* dtype, void* masked_grad)
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(from_raw::Tensor(self).to_dense(
-        from_raw::optional::ScalarType(dtype)));
+        from_raw::optional::ScalarType(dtype), from_raw::optional::bool_t(masked_grad)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_Tensor__to_dense_tensor_scalartype(void* self, void* dtype)
+void* _lantern_Tensor__to_dense_tensor_scalartype_bool(void* self, void* dtype, void* masked_grad)
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(from_raw::Tensor(self)._to_dense(
-        from_raw::optional::ScalarType(dtype)));
+        from_raw::optional::ScalarType(dtype), from_raw::optional::bool_t(masked_grad)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_to_dense_backward_tensor_tensor(void* grad, void* input)
+void* _lantern_to_dense_backward_tensor_tensor_bool(void* grad, void* input, void* masked_grad)
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::to_dense_backward(
-        from_raw::Tensor(grad), from_raw::Tensor(input)));
+        from_raw::Tensor(grad), from_raw::Tensor(input), from_raw::optional::bool_t(masked_grad)));
   LANTERN_FUNCTION_END
 }
 
@@ -12535,11 +13180,27 @@ void* _lantern_Tensor_to_sparse_tensor_intt(void* self, void* sparse_dim)
   LANTERN_FUNCTION_END
 }
 
+void* _lantern_Tensor__to_sparse_tensor_intt(void* self, void* sparse_dim)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(from_raw::Tensor(self)._to_sparse(
+        from_raw::int64_t(sparse_dim)));
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern_Tensor_to_sparse_tensor_layout_intarrayref_intt(void* self, void* layout, void* blocksize, void* dense_dim)
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(from_raw::Tensor(self).to_sparse(
-        from_raw::optional::Layout(layout), from_raw::IntArrayRef(blocksize), from_raw::optional::int64_t(dense_dim)));
+        from_raw::optional::Layout(layout), from_raw::optional::IntArrayRef(blocksize), from_raw::optional::int64_t(dense_dim)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern_Tensor__to_sparse_tensor_layout_intarrayref_intt(void* self, void* layout, void* blocksize, void* dense_dim)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(from_raw::Tensor(self)._to_sparse(
+        from_raw::optional::Layout(layout), from_raw::optional::IntArrayRef(blocksize), from_raw::optional::int64_t(dense_dim)));
   LANTERN_FUNCTION_END
 }
 
@@ -12551,6 +13212,14 @@ void* _lantern_Tensor_to_sparse_csr_tensor_intt(void* self, void* dense_dim)
   LANTERN_FUNCTION_END
 }
 
+void* _lantern_Tensor__to_sparse_csr_tensor_intt(void* self, void* dense_dim)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(from_raw::Tensor(self)._to_sparse_csr(
+        from_raw::optional::int64_t(dense_dim)));
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern_Tensor_to_sparse_csc_tensor_intt(void* self, void* dense_dim)
 {
   LANTERN_FUNCTION_START
@@ -12559,6 +13228,14 @@ void* _lantern_Tensor_to_sparse_csc_tensor_intt(void* self, void* dense_dim)
   LANTERN_FUNCTION_END
 }
 
+void* _lantern_Tensor__to_sparse_csc_tensor_intt(void* self, void* dense_dim)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(from_raw::Tensor(self)._to_sparse_csc(
+        from_raw::optional::int64_t(dense_dim)));
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern_Tensor_to_sparse_bsr_tensor_intarrayref_intt(void* self, void* blocksize, void* dense_dim)
 {
   LANTERN_FUNCTION_START
@@ -12567,39 +13244,63 @@ void* _lantern_Tensor_to_sparse_bsr_tensor_intarrayref_intt(void* self, void* bl
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_Tensor_to_sparse_bsc_tensor_intarrayref_intt(void* self, void* blocksize, void* dense_dim)
+void* _lantern_Tensor__to_sparse_bsr_tensor_intarrayref_intt(void* self, void* blocksize, void* dense_dim)
 {
   LANTERN_FUNCTION_START
-    return make_raw::Tensor(from_raw::Tensor(self).to_sparse_bsc(
+    return make_raw::Tensor(from_raw::Tensor(self)._to_sparse_bsr(
         from_raw::IntArrayRef(blocksize), from_raw::optional::int64_t(dense_dim)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_Tensor_to_mkldnn_tensor_scalartype(void* self, void* dtype)
+void* _lantern_Tensor_to_sparse_bsc_tensor_intarrayref_intt(void* self, void* blocksize, void* dense_dim)
 {
   LANTERN_FUNCTION_START
-    return make_raw::Tensor(from_raw::Tensor(self).to_mkldnn(
-        from_raw::optional::ScalarType(dtype)));
+    return make_raw::Tensor(from_raw::Tensor(self).to_sparse_bsc(
+        from_raw::IntArrayRef(blocksize), from_raw::optional::int64_t(dense_dim)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_mkldnn_reorder_conv2d_weight_tensor_intarrayref_intarrayref_intarrayref_intt_intarrayref(void* self, void* padding, void* stride, void* dilation, void* groups, void* input_size)
+void* _lantern_Tensor__to_sparse_bsc_tensor_intarrayref_intt(void* self, void* blocksize, void* dense_dim)
 {
   LANTERN_FUNCTION_START
-    return make_raw::Tensor(torch::mkldnn_reorder_conv2d_weight(
-        from_raw::Tensor(self), from_raw::IntArrayRef(padding), from_raw::IntArrayRef(stride), from_raw::IntArrayRef(dilation), from_raw::int64_t(groups), from_raw::IntArrayRef(input_size)));
+    return make_raw::Tensor(from_raw::Tensor(self)._to_sparse_bsc(
+        from_raw::IntArrayRef(blocksize), from_raw::optional::int64_t(dense_dim)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_mkldnn_reorder_conv3d_weight_tensor_intarrayref_intarrayref_intarrayref_intt(void* self, void* padding, void* stride, void* dilation, void* groups)
+void* _lantern__to_sparse_semi_structured_tensor(void* dense)
 {
   LANTERN_FUNCTION_START
-    return make_raw::Tensor(torch::mkldnn_reorder_conv3d_weight(
-        from_raw::Tensor(self), from_raw::IntArrayRef(padding), from_raw::IntArrayRef(stride), from_raw::IntArrayRef(dilation), from_raw::int64_t(groups)));
+    return make_raw::tuple(torch::_to_sparse_semi_structured(
+        from_raw::Tensor(dense)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_to_mkldnn_backward_tensor_tensor(void* grad, void* input)
+void* _lantern_Tensor_to_mkldnn_tensor_scalartype(void* self, void* dtype)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(from_raw::Tensor(self).to_mkldnn(
+        from_raw::optional::ScalarType(dtype)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern_mkldnn_reorder_conv2d_weight_tensor_intarrayref_intarrayref_intarrayref_intt_intarrayref(void* self, void* padding, void* stride, void* dilation, void* groups, void* input_size)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::mkldnn_reorder_conv2d_weight(
+        from_raw::Tensor(self), from_raw::IntArrayRef(padding), from_raw::IntArrayRef(stride), from_raw::IntArrayRef(dilation), from_raw::int64_t(groups), from_raw::optional::IntArrayRef(input_size)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern_mkldnn_reorder_conv3d_weight_tensor_intarrayref_intarrayref_intarrayref_intt_intarrayref(void* self, void* padding, void* stride, void* dilation, void* groups, void* input_size)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::mkldnn_reorder_conv3d_weight(
+        from_raw::Tensor(self), from_raw::IntArrayRef(padding), from_raw::IntArrayRef(stride), from_raw::IntArrayRef(dilation), from_raw::int64_t(groups), from_raw::optional::IntArrayRef(input_size)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern_to_mkldnn_backward_tensor_tensor(void* grad, void* input)
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::to_mkldnn_backward(
@@ -13055,11 +13756,11 @@ void* _lantern_result_type_scalar_scalar(void* scalar1, void* scalar2)
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_can_cast_scalartype_scalartype(void* from, void* to)
+void* _lantern_can_cast_scalartype_scalartype(void* from_, void* to)
 {
   LANTERN_FUNCTION_START
     return make_raw::bool_t(torch::can_cast(
-        from_raw::ScalarType(from), from_raw::ScalarType(to)));
+        from_raw::ScalarType(from_), from_raw::ScalarType(to)));
   LANTERN_FUNCTION_END
 }
 
@@ -13091,7 +13792,7 @@ void* _lantern_lstm_mps_backward_tensor_tensor_tensor_tensor_tensor_tensor_tenso
 {
   LANTERN_FUNCTION_START
     return make_raw::tuple(torch::lstm_mps_backward(
-        from_raw::Tensor(grad_y), from_raw::optional::Tensor(grad_hy), from_raw::optional::Tensor(grad_cy), from_raw::Tensor(z_state), from_raw::Tensor(cell_state_fwd), from_raw::Tensor(input), from_raw::Tensor(layersOutputs), from_raw::TensorList(hx), from_raw::TensorList(params), from_raw::bool_t(has_biases), from_raw::int64_t(num_layers), from_raw::double_t(dropout), from_raw::bool_t(train), from_raw::bool_t(bidirectional), from_raw::bool_t(batch_first)));
+        from_raw::optional::Tensor(grad_y), from_raw::optional::Tensor(grad_hy), from_raw::optional::Tensor(grad_cy), from_raw::Tensor(z_state), from_raw::Tensor(cell_state_fwd), from_raw::Tensor(input), from_raw::Tensor(layersOutputs), from_raw::TensorList(hx), from_raw::TensorList(params), from_raw::bool_t(has_biases), from_raw::int64_t(num_layers), from_raw::double_t(dropout), from_raw::bool_t(train), from_raw::bool_t(bidirectional), from_raw::bool_t(batch_first)));
   LANTERN_FUNCTION_END
 }
 
@@ -13447,6 +14148,14 @@ void* _lantern_Tensor_masked_scatter_tensor_tensor_tensor(void* self, void* mask
   LANTERN_FUNCTION_END
 }
 
+void* _lantern_masked_scatter_backward_tensor_tensor_intarrayref(void* grad_output, void* mask, void* sizes)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::masked_scatter_backward(
+        from_raw::Tensor(grad_output), from_raw::Tensor(mask), from_raw::IntArrayRef(sizes)));
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern__masked_softmax_tensor_tensor_intt_intt(void* self, void* mask, void* dim, void* mask_type)
 {
   LANTERN_FUNCTION_START
@@ -15655,6 +16364,30 @@ void* _lantern_Tensor_nonzero_tensor(void* self)
   LANTERN_FUNCTION_END
 }
 
+void* _lantern_nonzero_static_out_tensor_tensor_intt_intt(void* out, void* self, void* size, void* fill_value)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::nonzero_static_out(
+        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::int64_t(size), from_raw::int64_t(fill_value)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern_nonzero_static_tensor_intt_intt(void* self, void* size, void* fill_value)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::nonzero_static(
+        from_raw::Tensor(self), from_raw::int64_t(size), from_raw::int64_t(fill_value)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern_Tensor_nonzero_static_tensor_intt_intt(void* self, void* size, void* fill_value)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(from_raw::Tensor(self).nonzero_static(
+        from_raw::int64_t(size), from_raw::int64_t(fill_value)));
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern_nonzero_numpy_tensor(void* self)
 {
   LANTERN_FUNCTION_START
@@ -16927,6 +17660,14 @@ void* _lantern_Tensor_min_tensor(void* self)
   LANTERN_FUNCTION_END
 }
 
+void* _lantern_min_out_tensor_tensor(void* out, void* self)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::min_out(
+        from_raw::Tensor(out), from_raw::Tensor(self)));
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern_fmin_tensor_tensor(void* self, void* other)
 {
   LANTERN_FUNCTION_START
@@ -17343,6 +18084,14 @@ void* _lantern_Tensor_argsort_tensor_bool_intt_bool(void* self, void* stable, vo
   LANTERN_FUNCTION_END
 }
 
+void* _lantern_argsort_out_tensor_tensor_bool_intt_bool(void* out, void* self, void* stable, void* dim, void* descending)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::argsort_out(
+        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::bool_t(stable), from_raw::int64_t(dim), from_raw::bool_t(descending)));
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern_argsort_tensor_dimname_bool(void* self, void* dim, void* descending)
 {
   LANTERN_FUNCTION_START
@@ -17751,306 +18500,306 @@ void* _lantern__foreach_add__tensorlist_scalar(void* self, void* scalar)
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_sub_tensorlist_scalar(void* self, void* scalar)
+void* _lantern__foreach_add_tensorlist_tensorlist_scalar(void* self, void* other, void* alpha)
 {
   LANTERN_FUNCTION_START
-    return make_raw::TensorList(torch::_foreach_sub(
-        from_raw::TensorList(self), from_raw::Scalar(scalar)));
+    return make_raw::TensorList(torch::_foreach_add(
+        from_raw::TensorList(self), from_raw::TensorList(other), from_raw::Scalar(alpha)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_sub__tensorlist_scalar(void* self, void* scalar)
+void* _lantern__foreach_add__tensorlist_tensorlist_scalar(void* self, void* other, void* alpha)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_sub_(from_raw::TensorList(self), from_raw::Scalar(scalar));
+    torch::_foreach_add_(from_raw::TensorList(self), from_raw::TensorList(other), from_raw::Scalar(alpha));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_mul_tensorlist_scalar(void* self, void* scalar)
+void* _lantern__foreach_add_tensorlist_arrayrefscalar(void* self, void* scalars)
 {
   LANTERN_FUNCTION_START
-    return make_raw::TensorList(torch::_foreach_mul(
-        from_raw::TensorList(self), from_raw::Scalar(scalar)));
+    return make_raw::TensorList(torch::_foreach_add(
+        from_raw::TensorList(self), from_raw::vector::Scalar(scalars)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_mul__tensorlist_scalar(void* self, void* scalar)
+void* _lantern__foreach_add__tensorlist_arrayrefscalar(void* self, void* scalars)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_mul_(from_raw::TensorList(self), from_raw::Scalar(scalar));
+    torch::_foreach_add_(from_raw::TensorList(self), from_raw::vector::Scalar(scalars));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_div_tensorlist_scalar(void* self, void* scalar)
+void* _lantern__foreach_add_tensorlist_tensor_scalar(void* self, void* other, void* alpha)
 {
   LANTERN_FUNCTION_START
-    return make_raw::TensorList(torch::_foreach_div(
-        from_raw::TensorList(self), from_raw::Scalar(scalar)));
+    return make_raw::TensorList(torch::_foreach_add(
+        from_raw::TensorList(self), from_raw::Tensor(other), from_raw::Scalar(alpha)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_div__tensorlist_scalar(void* self, void* scalar)
+void* _lantern__foreach_add__tensorlist_tensor_scalar(void* self, void* other, void* alpha)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_div_(from_raw::TensorList(self), from_raw::Scalar(scalar));
+    torch::_foreach_add_(from_raw::TensorList(self), from_raw::Tensor(other), from_raw::Scalar(alpha));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_clamp_min_tensorlist_scalar(void* self, void* scalar)
+void* _lantern__foreach_sub_tensorlist_scalar(void* self, void* scalar)
 {
   LANTERN_FUNCTION_START
-    return make_raw::TensorList(torch::_foreach_clamp_min(
+    return make_raw::TensorList(torch::_foreach_sub(
         from_raw::TensorList(self), from_raw::Scalar(scalar)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_clamp_min__tensorlist_scalar(void* self, void* scalar)
+void* _lantern__foreach_sub__tensorlist_scalar(void* self, void* scalar)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_clamp_min_(from_raw::TensorList(self), from_raw::Scalar(scalar));
+    torch::_foreach_sub_(from_raw::TensorList(self), from_raw::Scalar(scalar));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_clamp_max_tensorlist_scalar(void* self, void* scalar)
+void* _lantern__foreach_sub_tensorlist_tensorlist_scalar(void* self, void* other, void* alpha)
 {
   LANTERN_FUNCTION_START
-    return make_raw::TensorList(torch::_foreach_clamp_max(
-        from_raw::TensorList(self), from_raw::Scalar(scalar)));
+    return make_raw::TensorList(torch::_foreach_sub(
+        from_raw::TensorList(self), from_raw::TensorList(other), from_raw::Scalar(alpha)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_clamp_max__tensorlist_scalar(void* self, void* scalar)
+void* _lantern__foreach_sub__tensorlist_tensorlist_scalar(void* self, void* other, void* alpha)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_clamp_max_(from_raw::TensorList(self), from_raw::Scalar(scalar));
+    torch::_foreach_sub_(from_raw::TensorList(self), from_raw::TensorList(other), from_raw::Scalar(alpha));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_maximum_tensorlist_scalar(void* self, void* scalar)
+void* _lantern__foreach_sub_tensorlist_arrayrefscalar(void* self, void* scalars)
 {
   LANTERN_FUNCTION_START
-    return make_raw::TensorList(torch::_foreach_maximum(
-        from_raw::TensorList(self), from_raw::Scalar(scalar)));
+    return make_raw::TensorList(torch::_foreach_sub(
+        from_raw::TensorList(self), from_raw::vector::Scalar(scalars)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_maximum__tensorlist_scalar(void* self, void* scalar)
+void* _lantern__foreach_sub__tensorlist_arrayrefscalar(void* self, void* scalars)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_maximum_(from_raw::TensorList(self), from_raw::Scalar(scalar));
+    torch::_foreach_sub_(from_raw::TensorList(self), from_raw::vector::Scalar(scalars));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_minimum_tensorlist_scalar(void* self, void* scalar)
+void* _lantern__foreach_mul_tensorlist_scalar(void* self, void* scalar)
 {
   LANTERN_FUNCTION_START
-    return make_raw::TensorList(torch::_foreach_minimum(
+    return make_raw::TensorList(torch::_foreach_mul(
         from_raw::TensorList(self), from_raw::Scalar(scalar)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_minimum__tensorlist_scalar(void* self, void* scalar)
+void* _lantern__foreach_mul__tensorlist_scalar(void* self, void* scalar)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_minimum_(from_raw::TensorList(self), from_raw::Scalar(scalar));
+    torch::_foreach_mul_(from_raw::TensorList(self), from_raw::Scalar(scalar));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_add_tensorlist_tensorlist_scalar(void* self, void* other, void* alpha)
+void* _lantern__foreach_mul_tensorlist_tensorlist(void* self, void* other)
 {
   LANTERN_FUNCTION_START
-    return make_raw::TensorList(torch::_foreach_add(
-        from_raw::TensorList(self), from_raw::TensorList(other), from_raw::Scalar(alpha)));
+    return make_raw::TensorList(torch::_foreach_mul(
+        from_raw::TensorList(self), from_raw::TensorList(other)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_add__tensorlist_tensorlist_scalar(void* self, void* other, void* alpha)
+void* _lantern__foreach_mul__tensorlist_tensorlist(void* self, void* other)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_add_(from_raw::TensorList(self), from_raw::TensorList(other), from_raw::Scalar(alpha));
+    torch::_foreach_mul_(from_raw::TensorList(self), from_raw::TensorList(other));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_sub_tensorlist_tensorlist_scalar(void* self, void* other, void* alpha)
+void* _lantern__foreach_mul_tensorlist_arrayrefscalar(void* self, void* scalars)
 {
   LANTERN_FUNCTION_START
-    return make_raw::TensorList(torch::_foreach_sub(
-        from_raw::TensorList(self), from_raw::TensorList(other), from_raw::Scalar(alpha)));
+    return make_raw::TensorList(torch::_foreach_mul(
+        from_raw::TensorList(self), from_raw::vector::Scalar(scalars)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_sub__tensorlist_tensorlist_scalar(void* self, void* other, void* alpha)
+void* _lantern__foreach_mul__tensorlist_arrayrefscalar(void* self, void* scalars)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_sub_(from_raw::TensorList(self), from_raw::TensorList(other), from_raw::Scalar(alpha));
+    torch::_foreach_mul_(from_raw::TensorList(self), from_raw::vector::Scalar(scalars));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_mul_tensorlist_tensorlist(void* self, void* other)
+void* _lantern__foreach_mul_tensorlist_tensor(void* self, void* other)
 {
   LANTERN_FUNCTION_START
     return make_raw::TensorList(torch::_foreach_mul(
-        from_raw::TensorList(self), from_raw::TensorList(other)));
+        from_raw::TensorList(self), from_raw::Tensor(other)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_mul__tensorlist_tensorlist(void* self, void* other)
+void* _lantern__foreach_mul__tensorlist_tensor(void* self, void* other)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_mul_(from_raw::TensorList(self), from_raw::TensorList(other));
+    torch::_foreach_mul_(from_raw::TensorList(self), from_raw::Tensor(other));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_div_tensorlist_tensorlist(void* self, void* other)
+void* _lantern__foreach_div_tensorlist_scalar(void* self, void* scalar)
 {
   LANTERN_FUNCTION_START
     return make_raw::TensorList(torch::_foreach_div(
-        from_raw::TensorList(self), from_raw::TensorList(other)));
+        from_raw::TensorList(self), from_raw::Scalar(scalar)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_div__tensorlist_tensorlist(void* self, void* other)
+void* _lantern__foreach_div__tensorlist_scalar(void* self, void* scalar)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_div_(from_raw::TensorList(self), from_raw::TensorList(other));
+    torch::_foreach_div_(from_raw::TensorList(self), from_raw::Scalar(scalar));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_clamp_min_tensorlist_tensorlist(void* self, void* other)
+void* _lantern__foreach_div_tensorlist_tensorlist(void* self, void* other)
 {
   LANTERN_FUNCTION_START
-    return make_raw::TensorList(torch::_foreach_clamp_min(
+    return make_raw::TensorList(torch::_foreach_div(
         from_raw::TensorList(self), from_raw::TensorList(other)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_clamp_min__tensorlist_tensorlist(void* self, void* other)
+void* _lantern__foreach_div__tensorlist_tensorlist(void* self, void* other)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_clamp_min_(from_raw::TensorList(self), from_raw::TensorList(other));
+    torch::_foreach_div_(from_raw::TensorList(self), from_raw::TensorList(other));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_clamp_max_tensorlist_tensorlist(void* self, void* other)
+void* _lantern__foreach_div_tensorlist_arrayrefscalar(void* self, void* scalars)
 {
   LANTERN_FUNCTION_START
-    return make_raw::TensorList(torch::_foreach_clamp_max(
-        from_raw::TensorList(self), from_raw::TensorList(other)));
+    return make_raw::TensorList(torch::_foreach_div(
+        from_raw::TensorList(self), from_raw::vector::Scalar(scalars)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_clamp_max__tensorlist_tensorlist(void* self, void* other)
+void* _lantern__foreach_div__tensorlist_arrayrefscalar(void* self, void* scalars)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_clamp_max_(from_raw::TensorList(self), from_raw::TensorList(other));
+    torch::_foreach_div_(from_raw::TensorList(self), from_raw::vector::Scalar(scalars));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_maximum_tensorlist_tensorlist(void* self, void* other)
+void* _lantern__foreach_div_tensorlist_tensor(void* self, void* other)
 {
   LANTERN_FUNCTION_START
-    return make_raw::TensorList(torch::_foreach_maximum(
-        from_raw::TensorList(self), from_raw::TensorList(other)));
+    return make_raw::TensorList(torch::_foreach_div(
+        from_raw::TensorList(self), from_raw::Tensor(other)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_maximum__tensorlist_tensorlist(void* self, void* other)
+void* _lantern__foreach_div__tensorlist_tensor(void* self, void* other)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_maximum_(from_raw::TensorList(self), from_raw::TensorList(other));
+    torch::_foreach_div_(from_raw::TensorList(self), from_raw::Tensor(other));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_minimum_tensorlist_tensorlist(void* self, void* other)
+void* _lantern__foreach_clamp_max_tensorlist_scalar(void* self, void* scalar)
 {
   LANTERN_FUNCTION_START
-    return make_raw::TensorList(torch::_foreach_minimum(
-        from_raw::TensorList(self), from_raw::TensorList(other)));
+    return make_raw::TensorList(torch::_foreach_clamp_max(
+        from_raw::TensorList(self), from_raw::Scalar(scalar)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_minimum__tensorlist_tensorlist(void* self, void* other)
+void* _lantern__foreach_clamp_max__tensorlist_scalar(void* self, void* scalar)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_minimum_(from_raw::TensorList(self), from_raw::TensorList(other));
+    torch::_foreach_clamp_max_(from_raw::TensorList(self), from_raw::Scalar(scalar));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_add_tensorlist_arrayrefscalar(void* self, void* scalars)
+void* _lantern__foreach_clamp_max_tensorlist_tensorlist(void* self, void* other)
 {
   LANTERN_FUNCTION_START
-    return make_raw::TensorList(torch::_foreach_add(
-        from_raw::TensorList(self), from_raw::vector::Scalar(scalars)));
+    return make_raw::TensorList(torch::_foreach_clamp_max(
+        from_raw::TensorList(self), from_raw::TensorList(other)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_add__tensorlist_arrayrefscalar(void* self, void* scalars)
+void* _lantern__foreach_clamp_max__tensorlist_tensorlist(void* self, void* other)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_add_(from_raw::TensorList(self), from_raw::vector::Scalar(scalars));
+    torch::_foreach_clamp_max_(from_raw::TensorList(self), from_raw::TensorList(other));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_sub_tensorlist_arrayrefscalar(void* self, void* scalars)
+void* _lantern__foreach_clamp_max_tensorlist_arrayrefscalar(void* self, void* scalars)
 {
   LANTERN_FUNCTION_START
-    return make_raw::TensorList(torch::_foreach_sub(
+    return make_raw::TensorList(torch::_foreach_clamp_max(
         from_raw::TensorList(self), from_raw::vector::Scalar(scalars)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_sub__tensorlist_arrayrefscalar(void* self, void* scalars)
+void* _lantern__foreach_clamp_max__tensorlist_arrayrefscalar(void* self, void* scalars)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_sub_(from_raw::TensorList(self), from_raw::vector::Scalar(scalars));
+    torch::_foreach_clamp_max_(from_raw::TensorList(self), from_raw::vector::Scalar(scalars));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_div_tensorlist_arrayrefscalar(void* self, void* scalars)
+void* _lantern__foreach_clamp_min_tensorlist_scalar(void* self, void* scalar)
 {
   LANTERN_FUNCTION_START
-    return make_raw::TensorList(torch::_foreach_div(
-        from_raw::TensorList(self), from_raw::vector::Scalar(scalars)));
+    return make_raw::TensorList(torch::_foreach_clamp_min(
+        from_raw::TensorList(self), from_raw::Scalar(scalar)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_div__tensorlist_arrayrefscalar(void* self, void* scalars)
+void* _lantern__foreach_clamp_min__tensorlist_scalar(void* self, void* scalar)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_div_(from_raw::TensorList(self), from_raw::vector::Scalar(scalars));
+    torch::_foreach_clamp_min_(from_raw::TensorList(self), from_raw::Scalar(scalar));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_mul_tensorlist_arrayrefscalar(void* self, void* scalars)
+void* _lantern__foreach_clamp_min_tensorlist_tensorlist(void* self, void* other)
 {
   LANTERN_FUNCTION_START
-    return make_raw::TensorList(torch::_foreach_mul(
-        from_raw::TensorList(self), from_raw::vector::Scalar(scalars)));
+    return make_raw::TensorList(torch::_foreach_clamp_min(
+        from_raw::TensorList(self), from_raw::TensorList(other)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_mul__tensorlist_arrayrefscalar(void* self, void* scalars)
+void* _lantern__foreach_clamp_min__tensorlist_tensorlist(void* self, void* other)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_mul_(from_raw::TensorList(self), from_raw::vector::Scalar(scalars));
+    torch::_foreach_clamp_min_(from_raw::TensorList(self), from_raw::TensorList(other));
     return NULL;
   LANTERN_FUNCTION_END
 }
@@ -18071,90 +18820,194 @@ void* _lantern__foreach_clamp_min__tensorlist_arrayrefscalar(void* self, void* s
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_clamp_max_tensorlist_arrayrefscalar(void* self, void* scalars)
+void* _lantern__foreach_maximum_tensorlist_scalar(void* self, void* scalar)
 {
   LANTERN_FUNCTION_START
-    return make_raw::TensorList(torch::_foreach_clamp_max(
-        from_raw::TensorList(self), from_raw::vector::Scalar(scalars)));
+    return make_raw::TensorList(torch::_foreach_maximum(
+        from_raw::TensorList(self), from_raw::Scalar(scalar)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_clamp_max__tensorlist_arrayrefscalar(void* self, void* scalars)
+void* _lantern__foreach_maximum__tensorlist_scalar(void* self, void* scalar)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_clamp_max_(from_raw::TensorList(self), from_raw::vector::Scalar(scalars));
+    torch::_foreach_maximum_(from_raw::TensorList(self), from_raw::Scalar(scalar));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_maximum_tensorlist_arrayrefscalar(void* self, void* scalars)
+void* _lantern__foreach_maximum_tensorlist_tensorlist(void* self, void* other)
 {
   LANTERN_FUNCTION_START
     return make_raw::TensorList(torch::_foreach_maximum(
-        from_raw::TensorList(self), from_raw::vector::Scalar(scalars)));
+        from_raw::TensorList(self), from_raw::TensorList(other)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_maximum__tensorlist_arrayrefscalar(void* self, void* scalars)
+void* _lantern__foreach_maximum__tensorlist_tensorlist(void* self, void* other)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_maximum_(from_raw::TensorList(self), from_raw::vector::Scalar(scalars));
+    torch::_foreach_maximum_(from_raw::TensorList(self), from_raw::TensorList(other));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_minimum_tensorlist_arrayrefscalar(void* self, void* scalars)
+void* _lantern__foreach_maximum_tensorlist_arrayrefscalar(void* self, void* scalars)
 {
   LANTERN_FUNCTION_START
-    return make_raw::TensorList(torch::_foreach_minimum(
+    return make_raw::TensorList(torch::_foreach_maximum(
         from_raw::TensorList(self), from_raw::vector::Scalar(scalars)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_minimum__tensorlist_arrayrefscalar(void* self, void* scalars)
+void* _lantern__foreach_maximum__tensorlist_arrayrefscalar(void* self, void* scalars)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_minimum_(from_raw::TensorList(self), from_raw::vector::Scalar(scalars));
+    torch::_foreach_maximum_(from_raw::TensorList(self), from_raw::vector::Scalar(scalars));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_exp_tensorlist(void* self)
+void* _lantern__foreach_minimum_tensorlist_scalar(void* self, void* scalar)
 {
   LANTERN_FUNCTION_START
-    return make_raw::TensorList(torch::_foreach_exp(
-        from_raw::TensorList(self)));
+    return make_raw::TensorList(torch::_foreach_minimum(
+        from_raw::TensorList(self), from_raw::Scalar(scalar)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_zero__tensorlist(void* self)
+void* _lantern__foreach_minimum__tensorlist_scalar(void* self, void* scalar)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_zero_(from_raw::TensorList(self));
+    torch::_foreach_minimum_(from_raw::TensorList(self), from_raw::Scalar(scalar));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_exp__tensorlist(void* self)
+void* _lantern__foreach_minimum_tensorlist_tensorlist(void* self, void* other)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_exp_(from_raw::TensorList(self));
+    return make_raw::TensorList(torch::_foreach_minimum(
+        from_raw::TensorList(self), from_raw::TensorList(other)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__foreach_minimum__tensorlist_tensorlist(void* self, void* other)
+{
+  LANTERN_FUNCTION_START
+    torch::_foreach_minimum_(from_raw::TensorList(self), from_raw::TensorList(other));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_sqrt_tensorlist(void* self)
+void* _lantern__foreach_minimum_tensorlist_arrayrefscalar(void* self, void* scalars)
 {
   LANTERN_FUNCTION_START
-    return make_raw::TensorList(torch::_foreach_sqrt(
-        from_raw::TensorList(self)));
+    return make_raw::TensorList(torch::_foreach_minimum(
+        from_raw::TensorList(self), from_raw::vector::Scalar(scalars)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_sqrt__tensorlist(void* self)
+void* _lantern__foreach_minimum__tensorlist_arrayrefscalar(void* self, void* scalars)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_sqrt_(from_raw::TensorList(self));
+    torch::_foreach_minimum_(from_raw::TensorList(self), from_raw::vector::Scalar(scalars));
+    return NULL;
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_scalar(void* self, void* tensor1, void* tensor2, void* value)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::TensorList(torch::_foreach_addcdiv(
+        from_raw::TensorList(self), from_raw::TensorList(tensor1), from_raw::TensorList(tensor2), from_raw::Scalar(value)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_arrayrefscalar(void* self, void* tensor1, void* tensor2, void* scalars)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::TensorList(torch::_foreach_addcdiv(
+        from_raw::TensorList(self), from_raw::TensorList(tensor1), from_raw::TensorList(tensor2), from_raw::vector::Scalar(scalars)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_tensor(void* self, void* tensor1, void* tensor2, void* scalars)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::TensorList(torch::_foreach_addcdiv(
+        from_raw::TensorList(self), from_raw::TensorList(tensor1), from_raw::TensorList(tensor2), from_raw::Tensor(scalars)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_scalar(void* self, void* tensor1, void* tensor2, void* value)
+{
+  LANTERN_FUNCTION_START
+    torch::_foreach_addcdiv_(from_raw::TensorList(self), from_raw::TensorList(tensor1), from_raw::TensorList(tensor2), from_raw::Scalar(value));
+    return NULL;
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_arrayrefscalar(void* self, void* tensor1, void* tensor2, void* scalars)
+{
+  LANTERN_FUNCTION_START
+    torch::_foreach_addcdiv_(from_raw::TensorList(self), from_raw::TensorList(tensor1), from_raw::TensorList(tensor2), from_raw::vector::Scalar(scalars));
+    return NULL;
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_tensor(void* self, void* tensor1, void* tensor2, void* scalars)
+{
+  LANTERN_FUNCTION_START
+    torch::_foreach_addcdiv_(from_raw::TensorList(self), from_raw::TensorList(tensor1), from_raw::TensorList(tensor2), from_raw::Tensor(scalars));
+    return NULL;
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_scalar(void* self, void* tensor1, void* tensor2, void* value)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::TensorList(torch::_foreach_addcmul(
+        from_raw::TensorList(self), from_raw::TensorList(tensor1), from_raw::TensorList(tensor2), from_raw::Scalar(value)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_arrayrefscalar(void* self, void* tensor1, void* tensor2, void* scalars)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::TensorList(torch::_foreach_addcmul(
+        from_raw::TensorList(self), from_raw::TensorList(tensor1), from_raw::TensorList(tensor2), from_raw::vector::Scalar(scalars)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_tensor(void* self, void* tensor1, void* tensor2, void* scalars)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::TensorList(torch::_foreach_addcmul(
+        from_raw::TensorList(self), from_raw::TensorList(tensor1), from_raw::TensorList(tensor2), from_raw::Tensor(scalars)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_scalar(void* self, void* tensor1, void* tensor2, void* value)
+{
+  LANTERN_FUNCTION_START
+    torch::_foreach_addcmul_(from_raw::TensorList(self), from_raw::TensorList(tensor1), from_raw::TensorList(tensor2), from_raw::Scalar(value));
+    return NULL;
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_arrayrefscalar(void* self, void* tensor1, void* tensor2, void* scalars)
+{
+  LANTERN_FUNCTION_START
+    torch::_foreach_addcmul_(from_raw::TensorList(self), from_raw::TensorList(tensor1), from_raw::TensorList(tensor2), from_raw::vector::Scalar(scalars));
+    return NULL;
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_tensor(void* self, void* tensor1, void* tensor2, void* scalars)
+{
+  LANTERN_FUNCTION_START
+    torch::_foreach_addcmul_(from_raw::TensorList(self), from_raw::TensorList(tensor1), from_raw::TensorList(tensor2), from_raw::Tensor(scalars));
     return NULL;
   LANTERN_FUNCTION_END
 }
@@ -18303,6 +19156,22 @@ void* _lantern__foreach_erfc__tensorlist(void* self)
   LANTERN_FUNCTION_END
 }
 
+void* _lantern__foreach_exp_tensorlist(void* self)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::TensorList(torch::_foreach_exp(
+        from_raw::TensorList(self)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__foreach_exp__tensorlist(void* self)
+{
+  LANTERN_FUNCTION_START
+    torch::_foreach_exp_(from_raw::TensorList(self));
+    return NULL;
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern__foreach_expm1_tensorlist(void* self)
 {
   LANTERN_FUNCTION_START
@@ -18335,194 +19204,218 @@ void* _lantern__foreach_floor__tensorlist(void* self)
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_log_tensorlist(void* self)
+void* _lantern__foreach_frac_tensorlist(void* self)
 {
   LANTERN_FUNCTION_START
-    return make_raw::TensorList(torch::_foreach_log(
+    return make_raw::TensorList(torch::_foreach_frac(
         from_raw::TensorList(self)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_log__tensorlist(void* self)
+void* _lantern__foreach_frac__tensorlist(void* self)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_log_(from_raw::TensorList(self));
+    torch::_foreach_frac_(from_raw::TensorList(self));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_log10_tensorlist(void* self)
+void* _lantern__foreach_lerp_tensorlist_tensorlist_tensorlist(void* self, void* tensors1, void* weights)
 {
   LANTERN_FUNCTION_START
-    return make_raw::TensorList(torch::_foreach_log10(
-        from_raw::TensorList(self)));
+    return make_raw::TensorList(torch::_foreach_lerp(
+        from_raw::TensorList(self), from_raw::TensorList(tensors1), from_raw::TensorList(weights)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_log10__tensorlist(void* self)
+void* _lantern__foreach_lerp__tensorlist_tensorlist_tensorlist(void* self, void* tensors1, void* weights)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_log10_(from_raw::TensorList(self));
+    torch::_foreach_lerp_(from_raw::TensorList(self), from_raw::TensorList(tensors1), from_raw::TensorList(weights));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_log1p_tensorlist(void* self)
+void* _lantern__foreach_lerp_tensorlist_tensorlist_scalar(void* self, void* tensors1, void* weight)
 {
   LANTERN_FUNCTION_START
-    return make_raw::TensorList(torch::_foreach_log1p(
-        from_raw::TensorList(self)));
+    return make_raw::TensorList(torch::_foreach_lerp(
+        from_raw::TensorList(self), from_raw::TensorList(tensors1), from_raw::Scalar(weight)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_log1p__tensorlist(void* self)
+void* _lantern__foreach_lerp__tensorlist_tensorlist_scalar(void* self, void* tensors1, void* weight)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_log1p_(from_raw::TensorList(self));
+    torch::_foreach_lerp_(from_raw::TensorList(self), from_raw::TensorList(tensors1), from_raw::Scalar(weight));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_log2_tensorlist(void* self)
+void* _lantern__foreach_lgamma_tensorlist(void* self)
 {
   LANTERN_FUNCTION_START
-    return make_raw::TensorList(torch::_foreach_log2(
+    return make_raw::TensorList(torch::_foreach_lgamma(
         from_raw::TensorList(self)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_log2__tensorlist(void* self)
+void* _lantern__foreach_lgamma__tensorlist(void* self)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_log2_(from_raw::TensorList(self));
+    torch::_foreach_lgamma_(from_raw::TensorList(self));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_neg_tensorlist(void* self)
+void* _lantern__foreach_log_tensorlist(void* self)
 {
   LANTERN_FUNCTION_START
-    return make_raw::TensorList(torch::_foreach_neg(
+    return make_raw::TensorList(torch::_foreach_log(
         from_raw::TensorList(self)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_neg__tensorlist(void* self)
+void* _lantern__foreach_log__tensorlist(void* self)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_neg_(from_raw::TensorList(self));
+    torch::_foreach_log_(from_raw::TensorList(self));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_tan_tensorlist(void* self)
+void* _lantern__foreach_log10_tensorlist(void* self)
 {
   LANTERN_FUNCTION_START
-    return make_raw::TensorList(torch::_foreach_tan(
+    return make_raw::TensorList(torch::_foreach_log10(
         from_raw::TensorList(self)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_tan__tensorlist(void* self)
+void* _lantern__foreach_log10__tensorlist(void* self)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_tan_(from_raw::TensorList(self));
+    torch::_foreach_log10_(from_raw::TensorList(self));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_tanh_tensorlist(void* self)
+void* _lantern__foreach_log1p_tensorlist(void* self)
 {
   LANTERN_FUNCTION_START
-    return make_raw::TensorList(torch::_foreach_tanh(
+    return make_raw::TensorList(torch::_foreach_log1p(
         from_raw::TensorList(self)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_tanh__tensorlist(void* self)
+void* _lantern__foreach_log1p__tensorlist(void* self)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_tanh_(from_raw::TensorList(self));
+    torch::_foreach_log1p_(from_raw::TensorList(self));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_sin_tensorlist(void* self)
+void* _lantern__foreach_log2_tensorlist(void* self)
 {
   LANTERN_FUNCTION_START
-    return make_raw::TensorList(torch::_foreach_sin(
+    return make_raw::TensorList(torch::_foreach_log2(
         from_raw::TensorList(self)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_sin__tensorlist(void* self)
+void* _lantern__foreach_log2__tensorlist(void* self)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_sin_(from_raw::TensorList(self));
+    torch::_foreach_log2_(from_raw::TensorList(self));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_sinh_tensorlist(void* self)
+void* _lantern__foreach_max_tensorlist(void* self)
 {
   LANTERN_FUNCTION_START
-    return make_raw::TensorList(torch::_foreach_sinh(
+    return make_raw::TensorList(torch::_foreach_max(
         from_raw::TensorList(self)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_sinh__tensorlist(void* self)
+void* _lantern__foreach_neg_tensorlist(void* self)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_sinh_(from_raw::TensorList(self));
+    return make_raw::TensorList(torch::_foreach_neg(
+        from_raw::TensorList(self)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__foreach_neg__tensorlist(void* self)
+{
+  LANTERN_FUNCTION_START
+    torch::_foreach_neg_(from_raw::TensorList(self));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_round_tensorlist(void* self)
+void* _lantern__foreach_norm_tensorlist_scalar_scalartype(void* self, void* ord, void* dtype)
 {
   LANTERN_FUNCTION_START
-    return make_raw::TensorList(torch::_foreach_round(
-        from_raw::TensorList(self)));
+    return make_raw::TensorList(torch::_foreach_norm(
+        from_raw::TensorList(self), from_raw::Scalar(ord), from_raw::optional::ScalarType(dtype)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_round__tensorlist(void* self)
+void* _lantern__foreach_pow_tensorlist_tensorlist(void* self, void* exponent)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_round_(from_raw::TensorList(self));
-    return NULL;
+    return make_raw::TensorList(torch::_foreach_pow(
+        from_raw::TensorList(self), from_raw::TensorList(exponent)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_lgamma_tensorlist(void* self)
+void* _lantern__foreach_pow_tensorlist_scalar(void* self, void* exponent)
 {
   LANTERN_FUNCTION_START
-    return make_raw::TensorList(torch::_foreach_lgamma(
-        from_raw::TensorList(self)));
+    return make_raw::TensorList(torch::_foreach_pow(
+        from_raw::TensorList(self), from_raw::Scalar(exponent)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_lgamma__tensorlist(void* self)
+void* _lantern__foreach_pow_tensorlist_arrayrefscalar(void* self, void* exponent)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_lgamma_(from_raw::TensorList(self));
+    return make_raw::TensorList(torch::_foreach_pow(
+        from_raw::TensorList(self), from_raw::vector::Scalar(exponent)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__foreach_pow_scalar_tensorlist(void* self, void* exponent)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::TensorList(torch::_foreach_pow(
+        from_raw::Scalar(self), from_raw::TensorList(exponent)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__foreach_pow__tensorlist_tensorlist(void* self, void* exponent)
+{
+  LANTERN_FUNCTION_START
+    torch::_foreach_pow_(from_raw::TensorList(self), from_raw::TensorList(exponent));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_frac_tensorlist(void* self)
+void* _lantern__foreach_pow__tensorlist_scalar(void* self, void* exponent)
 {
   LANTERN_FUNCTION_START
-    return make_raw::TensorList(torch::_foreach_frac(
-        from_raw::TensorList(self)));
+    torch::_foreach_pow_(from_raw::TensorList(self), from_raw::Scalar(exponent));
+    return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_frac__tensorlist(void* self)
+void* _lantern__foreach_pow__tensorlist_arrayrefscalar(void* self, void* exponent)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_frac_(from_raw::TensorList(self));
+    torch::_foreach_pow_(from_raw::TensorList(self), from_raw::vector::Scalar(exponent));
     return NULL;
   LANTERN_FUNCTION_END
 }
@@ -18543,171 +19436,171 @@ void* _lantern__foreach_reciprocal__tensorlist(void* self)
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_sigmoid_tensorlist(void* self)
+void* _lantern__foreach_round_tensorlist(void* self)
 {
   LANTERN_FUNCTION_START
-    return make_raw::TensorList(torch::_foreach_sigmoid(
+    return make_raw::TensorList(torch::_foreach_round(
         from_raw::TensorList(self)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_sigmoid__tensorlist(void* self)
+void* _lantern__foreach_round__tensorlist(void* self)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_sigmoid_(from_raw::TensorList(self));
+    torch::_foreach_round_(from_raw::TensorList(self));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_trunc_tensorlist(void* self)
+void* _lantern__foreach_sigmoid_tensorlist(void* self)
 {
   LANTERN_FUNCTION_START
-    return make_raw::TensorList(torch::_foreach_trunc(
+    return make_raw::TensorList(torch::_foreach_sigmoid(
         from_raw::TensorList(self)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_trunc__tensorlist(void* self)
+void* _lantern__foreach_sigmoid__tensorlist(void* self)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_trunc_(from_raw::TensorList(self));
+    torch::_foreach_sigmoid_(from_raw::TensorList(self));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_scalar(void* self, void* tensor1, void* tensor2, void* value)
+void* _lantern__foreach_sign_tensorlist(void* self)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_addcdiv_(from_raw::TensorList(self), from_raw::TensorList(tensor1), from_raw::TensorList(tensor2), from_raw::Scalar(value));
-    return NULL;
+    return make_raw::TensorList(torch::_foreach_sign(
+        from_raw::TensorList(self)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_scalar(void* self, void* tensor1, void* tensor2, void* value)
+void* _lantern__foreach_sign__tensorlist(void* self)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_addcmul_(from_raw::TensorList(self), from_raw::TensorList(tensor1), from_raw::TensorList(tensor2), from_raw::Scalar(value));
+    torch::_foreach_sign_(from_raw::TensorList(self));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_arrayrefscalar(void* self, void* tensor1, void* tensor2, void* scalars)
+void* _lantern__foreach_sin_tensorlist(void* self)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_addcdiv_(from_raw::TensorList(self), from_raw::TensorList(tensor1), from_raw::TensorList(tensor2), from_raw::vector::Scalar(scalars));
-    return NULL;
+    return make_raw::TensorList(torch::_foreach_sin(
+        from_raw::TensorList(self)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_addcdiv__tensorlist_tensorlist_tensorlist_tensor(void* self, void* tensor1, void* tensor2, void* scalars)
+void* _lantern__foreach_sin__tensorlist(void* self)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_addcdiv_(from_raw::TensorList(self), from_raw::TensorList(tensor1), from_raw::TensorList(tensor2), from_raw::Tensor(scalars));
+    torch::_foreach_sin_(from_raw::TensorList(self));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_arrayrefscalar(void* self, void* tensor1, void* tensor2, void* scalars)
+void* _lantern__foreach_sinh_tensorlist(void* self)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_addcmul_(from_raw::TensorList(self), from_raw::TensorList(tensor1), from_raw::TensorList(tensor2), from_raw::vector::Scalar(scalars));
-    return NULL;
+    return make_raw::TensorList(torch::_foreach_sinh(
+        from_raw::TensorList(self)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_addcmul__tensorlist_tensorlist_tensorlist_tensor(void* self, void* tensor1, void* tensor2, void* scalars)
+void* _lantern__foreach_sinh__tensorlist(void* self)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_addcmul_(from_raw::TensorList(self), from_raw::TensorList(tensor1), from_raw::TensorList(tensor2), from_raw::Tensor(scalars));
+    torch::_foreach_sinh_(from_raw::TensorList(self));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_scalar(void* self, void* tensor1, void* tensor2, void* value)
+void* _lantern__foreach_sqrt_tensorlist(void* self)
 {
   LANTERN_FUNCTION_START
-    return make_raw::TensorList(torch::_foreach_addcdiv(
-        from_raw::TensorList(self), from_raw::TensorList(tensor1), from_raw::TensorList(tensor2), from_raw::Scalar(value)));
+    return make_raw::TensorList(torch::_foreach_sqrt(
+        from_raw::TensorList(self)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_scalar(void* self, void* tensor1, void* tensor2, void* value)
+void* _lantern__foreach_sqrt__tensorlist(void* self)
 {
   LANTERN_FUNCTION_START
-    return make_raw::TensorList(torch::_foreach_addcmul(
-        from_raw::TensorList(self), from_raw::TensorList(tensor1), from_raw::TensorList(tensor2), from_raw::Scalar(value)));
+    torch::_foreach_sqrt_(from_raw::TensorList(self));
+    return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_arrayrefscalar(void* self, void* tensor1, void* tensor2, void* scalars)
+void* _lantern__foreach_tan_tensorlist(void* self)
 {
   LANTERN_FUNCTION_START
-    return make_raw::TensorList(torch::_foreach_addcdiv(
-        from_raw::TensorList(self), from_raw::TensorList(tensor1), from_raw::TensorList(tensor2), from_raw::vector::Scalar(scalars)));
+    return make_raw::TensorList(torch::_foreach_tan(
+        from_raw::TensorList(self)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_addcdiv_tensorlist_tensorlist_tensorlist_tensor(void* self, void* tensor1, void* tensor2, void* scalars)
+void* _lantern__foreach_tan__tensorlist(void* self)
 {
   LANTERN_FUNCTION_START
-    return make_raw::TensorList(torch::_foreach_addcdiv(
-        from_raw::TensorList(self), from_raw::TensorList(tensor1), from_raw::TensorList(tensor2), from_raw::Tensor(scalars)));
+    torch::_foreach_tan_(from_raw::TensorList(self));
+    return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_arrayrefscalar(void* self, void* tensor1, void* tensor2, void* scalars)
+void* _lantern__foreach_tanh_tensorlist(void* self)
 {
   LANTERN_FUNCTION_START
-    return make_raw::TensorList(torch::_foreach_addcmul(
-        from_raw::TensorList(self), from_raw::TensorList(tensor1), from_raw::TensorList(tensor2), from_raw::vector::Scalar(scalars)));
+    return make_raw::TensorList(torch::_foreach_tanh(
+        from_raw::TensorList(self)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_addcmul_tensorlist_tensorlist_tensorlist_tensor(void* self, void* tensor1, void* tensor2, void* scalars)
+void* _lantern__foreach_tanh__tensorlist(void* self)
 {
   LANTERN_FUNCTION_START
-    return make_raw::TensorList(torch::_foreach_addcmul(
-        from_raw::TensorList(self), from_raw::TensorList(tensor1), from_raw::TensorList(tensor2), from_raw::Tensor(scalars)));
+    torch::_foreach_tanh_(from_raw::TensorList(self));
+    return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_norm_tensorlist_scalar(void* self, void* ord)
+void* _lantern__foreach_trunc_tensorlist(void* self)
 {
   LANTERN_FUNCTION_START
-    return make_raw::TensorList(torch::_foreach_norm(
-        from_raw::TensorList(self), from_raw::Scalar(ord)));
+    return make_raw::TensorList(torch::_foreach_trunc(
+        from_raw::TensorList(self)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_lerp_tensorlist_tensorlist_tensorlist(void* self, void* tensors1, void* weights)
+void* _lantern__foreach_trunc__tensorlist(void* self)
 {
   LANTERN_FUNCTION_START
-    return make_raw::TensorList(torch::_foreach_lerp(
-        from_raw::TensorList(self), from_raw::TensorList(tensors1), from_raw::TensorList(weights)));
+    torch::_foreach_trunc_(from_raw::TensorList(self));
+    return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_lerp__tensorlist_tensorlist_tensorlist(void* self, void* tensors1, void* weights)
+void* _lantern__foreach_zero__tensorlist(void* self)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_lerp_(from_raw::TensorList(self), from_raw::TensorList(tensors1), from_raw::TensorList(weights));
+    torch::_foreach_zero_(from_raw::TensorList(self));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_lerp_tensorlist_tensorlist_scalar(void* self, void* tensors1, void* weight)
+void* _lantern__foreach_copy__tensorlist_tensorlist_bool(void* self, void* src, void* non_blocking)
 {
   LANTERN_FUNCTION_START
-    return make_raw::TensorList(torch::_foreach_lerp(
-        from_raw::TensorList(self), from_raw::TensorList(tensors1), from_raw::Scalar(weight)));
+    torch::_foreach_copy_(from_raw::TensorList(self), from_raw::TensorList(src), from_raw::bool_t(non_blocking));
+    return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_lerp__tensorlist_tensorlist_scalar(void* self, void* tensors1, void* weight)
+void* _lantern__foreach_copy_tensorlist_tensorlist_bool(void* self, void* src, void* non_blocking)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_lerp_(from_raw::TensorList(self), from_raw::TensorList(tensors1), from_raw::Scalar(weight));
-    return NULL;
+    return make_raw::TensorList(torch::_foreach_copy(
+        from_raw::TensorList(self), from_raw::TensorList(src), from_raw::bool_t(non_blocking)));
   LANTERN_FUNCTION_END
 }
 
@@ -18754,8 +19647,16 @@ void* _lantern_searchsorted_out_tensor_tensor_tensor_bool_bool_cstringview_tenso
 void* _lantern_searchsorted_tensor_scalar_bool_bool_cstringview_tensor(void* sorted_sequence, void* self, void* out_int32, void* right, void* side, void* sorter)
 {
   LANTERN_FUNCTION_START
-    return make_raw::Tensor(torch::searchsorted(
-        from_raw::Tensor(sorted_sequence), from_raw::Scalar(self), from_raw::bool_t(out_int32), from_raw::bool_t(right), from_raw::optional::string_view(side), from_raw::optional::Tensor(sorter)));
+    return make_raw::Tensor(torch::searchsorted(
+        from_raw::Tensor(sorted_sequence), from_raw::Scalar(self), from_raw::bool_t(out_int32), from_raw::bool_t(right), from_raw::optional::string_view(side), from_raw::optional::Tensor(sorter)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern_searchsorted_out_tensor_tensor_scalar_bool_bool_cstringview_tensor(void* out, void* sorted_sequence, void* self, void* out_int32, void* right, void* side, void* sorter)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::searchsorted_out(
+        from_raw::Tensor(out), from_raw::Tensor(sorted_sequence), from_raw::Scalar(self), from_raw::bool_t(out_int32), from_raw::bool_t(right), from_raw::optional::string_view(side), from_raw::optional::Tensor(sorter)));
   LANTERN_FUNCTION_END
 }
 
@@ -20099,7 +21000,7 @@ void* _lantern_upsample_linear1d_tensor_intarrayref_bool_arrayrefdouble(void* in
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::upsample_linear1d(
-        from_raw::Tensor(input), from_raw::IntArrayRef(output_size), from_raw::bool_t(align_corners), from_raw::optional::DoubleArrayRef(scale_factors)));
+        from_raw::Tensor(input), from_raw::optional::IntArrayRef(output_size), from_raw::bool_t(align_corners), from_raw::optional::DoubleArrayRef(scale_factors)));
   LANTERN_FUNCTION_END
 }
 
@@ -20107,7 +21008,7 @@ void* _lantern_upsample_bilinear2d_tensor_intarrayref_bool_arrayrefdouble(void*
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::upsample_bilinear2d(
-        from_raw::Tensor(input), from_raw::IntArrayRef(output_size), from_raw::bool_t(align_corners), from_raw::optional::DoubleArrayRef(scale_factors)));
+        from_raw::Tensor(input), from_raw::optional::IntArrayRef(output_size), from_raw::bool_t(align_corners), from_raw::optional::DoubleArrayRef(scale_factors)));
   LANTERN_FUNCTION_END
 }
 
@@ -20115,7 +21016,7 @@ void* _lantern__upsample_bilinear2d_aa_tensor_intarrayref_bool_arrayrefdouble(vo
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::_upsample_bilinear2d_aa(
-        from_raw::Tensor(input), from_raw::IntArrayRef(output_size), from_raw::bool_t(align_corners), from_raw::optional::DoubleArrayRef(scale_factors)));
+        from_raw::Tensor(input), from_raw::optional::IntArrayRef(output_size), from_raw::bool_t(align_corners), from_raw::optional::DoubleArrayRef(scale_factors)));
   LANTERN_FUNCTION_END
 }
 
@@ -20123,7 +21024,7 @@ void* _lantern_upsample_trilinear3d_tensor_intarrayref_bool_arrayrefdouble(void*
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::upsample_trilinear3d(
-        from_raw::Tensor(input), from_raw::IntArrayRef(output_size), from_raw::bool_t(align_corners), from_raw::optional::DoubleArrayRef(scale_factors)));
+        from_raw::Tensor(input), from_raw::optional::IntArrayRef(output_size), from_raw::bool_t(align_corners), from_raw::optional::DoubleArrayRef(scale_factors)));
   LANTERN_FUNCTION_END
 }
 
@@ -20131,7 +21032,7 @@ void* _lantern_upsample_bicubic2d_tensor_intarrayref_bool_arrayrefdouble(void* i
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::upsample_bicubic2d(
-        from_raw::Tensor(input), from_raw::IntArrayRef(output_size), from_raw::bool_t(align_corners), from_raw::optional::DoubleArrayRef(scale_factors)));
+        from_raw::Tensor(input), from_raw::optional::IntArrayRef(output_size), from_raw::bool_t(align_corners), from_raw::optional::DoubleArrayRef(scale_factors)));
   LANTERN_FUNCTION_END
 }
 
@@ -20139,7 +21040,7 @@ void* _lantern__upsample_bicubic2d_aa_tensor_intarrayref_bool_arrayrefdouble(voi
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::_upsample_bicubic2d_aa(
-        from_raw::Tensor(input), from_raw::IntArrayRef(output_size), from_raw::bool_t(align_corners), from_raw::optional::DoubleArrayRef(scale_factors)));
+        from_raw::Tensor(input), from_raw::optional::IntArrayRef(output_size), from_raw::bool_t(align_corners), from_raw::optional::DoubleArrayRef(scale_factors)));
   LANTERN_FUNCTION_END
 }
 
@@ -20147,7 +21048,7 @@ void* _lantern_upsample_nearest1d_tensor_intarrayref_arrayrefdouble(void* input,
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::upsample_nearest1d(
-        from_raw::Tensor(input), from_raw::IntArrayRef(output_size), from_raw::optional::DoubleArrayRef(scale_factors)));
+        from_raw::Tensor(input), from_raw::optional::IntArrayRef(output_size), from_raw::optional::DoubleArrayRef(scale_factors)));
   LANTERN_FUNCTION_END
 }
 
@@ -20155,7 +21056,7 @@ void* _lantern__upsample_nearest_exact1d_tensor_intarrayref_arrayrefdouble(void*
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::_upsample_nearest_exact1d(
-        from_raw::Tensor(input), from_raw::IntArrayRef(output_size), from_raw::optional::DoubleArrayRef(scale_factors)));
+        from_raw::Tensor(input), from_raw::optional::IntArrayRef(output_size), from_raw::optional::DoubleArrayRef(scale_factors)));
   LANTERN_FUNCTION_END
 }
 
@@ -20163,7 +21064,7 @@ void* _lantern_upsample_nearest2d_tensor_intarrayref_arrayrefdouble(void* input,
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::upsample_nearest2d(
-        from_raw::Tensor(input), from_raw::IntArrayRef(output_size), from_raw::optional::DoubleArrayRef(scale_factors)));
+        from_raw::Tensor(input), from_raw::optional::IntArrayRef(output_size), from_raw::optional::DoubleArrayRef(scale_factors)));
   LANTERN_FUNCTION_END
 }
 
@@ -20171,7 +21072,7 @@ void* _lantern__upsample_nearest_exact2d_tensor_intarrayref_arrayrefdouble(void*
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::_upsample_nearest_exact2d(
-        from_raw::Tensor(input), from_raw::IntArrayRef(output_size), from_raw::optional::DoubleArrayRef(scale_factors)));
+        from_raw::Tensor(input), from_raw::optional::IntArrayRef(output_size), from_raw::optional::DoubleArrayRef(scale_factors)));
   LANTERN_FUNCTION_END
 }
 
@@ -20179,7 +21080,7 @@ void* _lantern_upsample_nearest3d_tensor_intarrayref_arrayrefdouble(void* input,
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::upsample_nearest3d(
-        from_raw::Tensor(input), from_raw::IntArrayRef(output_size), from_raw::optional::DoubleArrayRef(scale_factors)));
+        from_raw::Tensor(input), from_raw::optional::IntArrayRef(output_size), from_raw::optional::DoubleArrayRef(scale_factors)));
   LANTERN_FUNCTION_END
 }
 
@@ -20187,7 +21088,7 @@ void* _lantern__upsample_nearest_exact3d_tensor_intarrayref_arrayrefdouble(void*
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::_upsample_nearest_exact3d(
-        from_raw::Tensor(input), from_raw::IntArrayRef(output_size), from_raw::optional::DoubleArrayRef(scale_factors)));
+        from_raw::Tensor(input), from_raw::optional::IntArrayRef(output_size), from_raw::optional::DoubleArrayRef(scale_factors)));
   LANTERN_FUNCTION_END
 }
 
@@ -21611,7 +22512,7 @@ void* _lantern_fft_fft2_tensor_intarrayref_intarrayref_cstringview(void* self, v
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::fft_fft2(
-        from_raw::Tensor(self), from_raw::IntArrayRef(s), from_raw::IntArrayRef(dim), from_raw::optional::string_view(norm)));
+        from_raw::Tensor(self), from_raw::optional::IntArrayRef(s), from_raw::IntArrayRef(dim), from_raw::optional::string_view(norm)));
   LANTERN_FUNCTION_END
 }
 
@@ -21619,7 +22520,7 @@ void* _lantern_fft_fft2_out_tensor_tensor_intarrayref_intarrayref_cstringview(vo
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::fft_fft2_out(
-        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::IntArrayRef(s), from_raw::IntArrayRef(dim), from_raw::optional::string_view(norm)));
+        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::optional::IntArrayRef(s), from_raw::IntArrayRef(dim), from_raw::optional::string_view(norm)));
   LANTERN_FUNCTION_END
 }
 
@@ -21627,7 +22528,7 @@ void* _lantern_fft_ifft2_tensor_intarrayref_intarrayref_cstringview(void* self,
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::fft_ifft2(
-        from_raw::Tensor(self), from_raw::IntArrayRef(s), from_raw::IntArrayRef(dim), from_raw::optional::string_view(norm)));
+        from_raw::Tensor(self), from_raw::optional::IntArrayRef(s), from_raw::IntArrayRef(dim), from_raw::optional::string_view(norm)));
   LANTERN_FUNCTION_END
 }
 
@@ -21635,7 +22536,7 @@ void* _lantern_fft_ifft2_out_tensor_tensor_intarrayref_intarrayref_cstringview(v
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::fft_ifft2_out(
-        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::IntArrayRef(s), from_raw::IntArrayRef(dim), from_raw::optional::string_view(norm)));
+        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::optional::IntArrayRef(s), from_raw::IntArrayRef(dim), from_raw::optional::string_view(norm)));
   LANTERN_FUNCTION_END
 }
 
@@ -21643,7 +22544,7 @@ void* _lantern_fft_rfft2_tensor_intarrayref_intarrayref_cstringview(void* self,
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::fft_rfft2(
-        from_raw::Tensor(self), from_raw::IntArrayRef(s), from_raw::IntArrayRef(dim), from_raw::optional::string_view(norm)));
+        from_raw::Tensor(self), from_raw::optional::IntArrayRef(s), from_raw::IntArrayRef(dim), from_raw::optional::string_view(norm)));
   LANTERN_FUNCTION_END
 }
 
@@ -21651,7 +22552,7 @@ void* _lantern_fft_rfft2_out_tensor_tensor_intarrayref_intarrayref_cstringview(v
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::fft_rfft2_out(
-        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::IntArrayRef(s), from_raw::IntArrayRef(dim), from_raw::optional::string_view(norm)));
+        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::optional::IntArrayRef(s), from_raw::IntArrayRef(dim), from_raw::optional::string_view(norm)));
   LANTERN_FUNCTION_END
 }
 
@@ -21659,7 +22560,7 @@ void* _lantern_fft_irfft2_tensor_intarrayref_intarrayref_cstringview(void* self,
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::fft_irfft2(
-        from_raw::Tensor(self), from_raw::IntArrayRef(s), from_raw::IntArrayRef(dim), from_raw::optional::string_view(norm)));
+        from_raw::Tensor(self), from_raw::optional::IntArrayRef(s), from_raw::IntArrayRef(dim), from_raw::optional::string_view(norm)));
   LANTERN_FUNCTION_END
 }
 
@@ -21667,7 +22568,7 @@ void* _lantern_fft_irfft2_out_tensor_tensor_intarrayref_intarrayref_cstringview(
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::fft_irfft2_out(
-        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::IntArrayRef(s), from_raw::IntArrayRef(dim), from_raw::optional::string_view(norm)));
+        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::optional::IntArrayRef(s), from_raw::IntArrayRef(dim), from_raw::optional::string_view(norm)));
   LANTERN_FUNCTION_END
 }
 
@@ -21675,7 +22576,7 @@ void* _lantern_fft_hfft2_tensor_intarrayref_intarrayref_cstringview(void* self,
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::fft_hfft2(
-        from_raw::Tensor(self), from_raw::IntArrayRef(s), from_raw::IntArrayRef(dim), from_raw::optional::string_view(norm)));
+        from_raw::Tensor(self), from_raw::optional::IntArrayRef(s), from_raw::IntArrayRef(dim), from_raw::optional::string_view(norm)));
   LANTERN_FUNCTION_END
 }
 
@@ -21683,7 +22584,7 @@ void* _lantern_fft_hfft2_out_tensor_tensor_intarrayref_intarrayref_cstringview(v
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::fft_hfft2_out(
-        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::IntArrayRef(s), from_raw::IntArrayRef(dim), from_raw::optional::string_view(norm)));
+        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::optional::IntArrayRef(s), from_raw::IntArrayRef(dim), from_raw::optional::string_view(norm)));
   LANTERN_FUNCTION_END
 }
 
@@ -21691,7 +22592,7 @@ void* _lantern_fft_ihfft2_tensor_intarrayref_intarrayref_cstringview(void* self,
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::fft_ihfft2(
-        from_raw::Tensor(self), from_raw::IntArrayRef(s), from_raw::IntArrayRef(dim), from_raw::optional::string_view(norm)));
+        from_raw::Tensor(self), from_raw::optional::IntArrayRef(s), from_raw::IntArrayRef(dim), from_raw::optional::string_view(norm)));
   LANTERN_FUNCTION_END
 }
 
@@ -21699,7 +22600,7 @@ void* _lantern_fft_ihfft2_out_tensor_tensor_intarrayref_intarrayref_cstringview(
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::fft_ihfft2_out(
-        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::IntArrayRef(s), from_raw::IntArrayRef(dim), from_raw::optional::string_view(norm)));
+        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::optional::IntArrayRef(s), from_raw::IntArrayRef(dim), from_raw::optional::string_view(norm)));
   LANTERN_FUNCTION_END
 }
 
@@ -21707,7 +22608,7 @@ void* _lantern_fft_fftn_tensor_intarrayref_intarrayref_cstringview(void* self, v
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::fft_fftn(
-        from_raw::Tensor(self), from_raw::IntArrayRef(s), from_raw::IntArrayRef(dim), from_raw::optional::string_view(norm)));
+        from_raw::Tensor(self), from_raw::optional::IntArrayRef(s), from_raw::optional::IntArrayRef(dim), from_raw::optional::string_view(norm)));
   LANTERN_FUNCTION_END
 }
 
@@ -21715,7 +22616,7 @@ void* _lantern_fft_fftn_out_tensor_tensor_intarrayref_intarrayref_cstringview(vo
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::fft_fftn_out(
-        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::IntArrayRef(s), from_raw::IntArrayRef(dim), from_raw::optional::string_view(norm)));
+        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::optional::IntArrayRef(s), from_raw::optional::IntArrayRef(dim), from_raw::optional::string_view(norm)));
   LANTERN_FUNCTION_END
 }
 
@@ -21723,7 +22624,7 @@ void* _lantern_fft_ifftn_tensor_intarrayref_intarrayref_cstringview(void* self,
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::fft_ifftn(
-        from_raw::Tensor(self), from_raw::IntArrayRef(s), from_raw::IntArrayRef(dim), from_raw::optional::string_view(norm)));
+        from_raw::Tensor(self), from_raw::optional::IntArrayRef(s), from_raw::optional::IntArrayRef(dim), from_raw::optional::string_view(norm)));
   LANTERN_FUNCTION_END
 }
 
@@ -21731,7 +22632,7 @@ void* _lantern_fft_ifftn_out_tensor_tensor_intarrayref_intarrayref_cstringview(v
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::fft_ifftn_out(
-        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::IntArrayRef(s), from_raw::IntArrayRef(dim), from_raw::optional::string_view(norm)));
+        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::optional::IntArrayRef(s), from_raw::optional::IntArrayRef(dim), from_raw::optional::string_view(norm)));
   LANTERN_FUNCTION_END
 }
 
@@ -21739,7 +22640,7 @@ void* _lantern_fft_rfftn_tensor_intarrayref_intarrayref_cstringview(void* self,
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::fft_rfftn(
-        from_raw::Tensor(self), from_raw::IntArrayRef(s), from_raw::IntArrayRef(dim), from_raw::optional::string_view(norm)));
+        from_raw::Tensor(self), from_raw::optional::IntArrayRef(s), from_raw::optional::IntArrayRef(dim), from_raw::optional::string_view(norm)));
   LANTERN_FUNCTION_END
 }
 
@@ -21747,7 +22648,7 @@ void* _lantern_fft_rfftn_out_tensor_tensor_intarrayref_intarrayref_cstringview(v
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::fft_rfftn_out(
-        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::IntArrayRef(s), from_raw::IntArrayRef(dim), from_raw::optional::string_view(norm)));
+        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::optional::IntArrayRef(s), from_raw::optional::IntArrayRef(dim), from_raw::optional::string_view(norm)));
   LANTERN_FUNCTION_END
 }
 
@@ -21755,7 +22656,7 @@ void* _lantern_fft_irfftn_tensor_intarrayref_intarrayref_cstringview(void* self,
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::fft_irfftn(
-        from_raw::Tensor(self), from_raw::IntArrayRef(s), from_raw::IntArrayRef(dim), from_raw::optional::string_view(norm)));
+        from_raw::Tensor(self), from_raw::optional::IntArrayRef(s), from_raw::optional::IntArrayRef(dim), from_raw::optional::string_view(norm)));
   LANTERN_FUNCTION_END
 }
 
@@ -21763,7 +22664,7 @@ void* _lantern_fft_irfftn_out_tensor_tensor_intarrayref_intarrayref_cstringview(
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::fft_irfftn_out(
-        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::IntArrayRef(s), from_raw::IntArrayRef(dim), from_raw::optional::string_view(norm)));
+        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::optional::IntArrayRef(s), from_raw::optional::IntArrayRef(dim), from_raw::optional::string_view(norm)));
   LANTERN_FUNCTION_END
 }
 
@@ -21771,7 +22672,7 @@ void* _lantern_fft_hfftn_tensor_intarrayref_intarrayref_cstringview(void* self,
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::fft_hfftn(
-        from_raw::Tensor(self), from_raw::IntArrayRef(s), from_raw::IntArrayRef(dim), from_raw::optional::string_view(norm)));
+        from_raw::Tensor(self), from_raw::optional::IntArrayRef(s), from_raw::optional::IntArrayRef(dim), from_raw::optional::string_view(norm)));
   LANTERN_FUNCTION_END
 }
 
@@ -21779,7 +22680,7 @@ void* _lantern_fft_hfftn_out_tensor_tensor_intarrayref_intarrayref_cstringview(v
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::fft_hfftn_out(
-        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::IntArrayRef(s), from_raw::IntArrayRef(dim), from_raw::optional::string_view(norm)));
+        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::optional::IntArrayRef(s), from_raw::optional::IntArrayRef(dim), from_raw::optional::string_view(norm)));
   LANTERN_FUNCTION_END
 }
 
@@ -21787,7 +22688,7 @@ void* _lantern_fft_ihfftn_tensor_intarrayref_intarrayref_cstringview(void* self,
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::fft_ihfftn(
-        from_raw::Tensor(self), from_raw::IntArrayRef(s), from_raw::IntArrayRef(dim), from_raw::optional::string_view(norm)));
+        from_raw::Tensor(self), from_raw::optional::IntArrayRef(s), from_raw::optional::IntArrayRef(dim), from_raw::optional::string_view(norm)));
   LANTERN_FUNCTION_END
 }
 
@@ -21795,7 +22696,7 @@ void* _lantern_fft_ihfftn_out_tensor_tensor_intarrayref_intarrayref_cstringview(
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::fft_ihfftn_out(
-        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::IntArrayRef(s), from_raw::IntArrayRef(dim), from_raw::optional::string_view(norm)));
+        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::optional::IntArrayRef(s), from_raw::optional::IntArrayRef(dim), from_raw::optional::string_view(norm)));
   LANTERN_FUNCTION_END
 }
 
@@ -21835,7 +22736,7 @@ void* _lantern_fft_fftshift_tensor_intarrayref(void* self, void* dim)
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::fft_fftshift(
-        from_raw::Tensor(self), from_raw::IntArrayRef(dim)));
+        from_raw::Tensor(self), from_raw::optional::IntArrayRef(dim)));
   LANTERN_FUNCTION_END
 }
 
@@ -21843,7 +22744,7 @@ void* _lantern_fft_ifftshift_tensor_intarrayref(void* self, void* dim)
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::fft_ifftshift(
-        from_raw::Tensor(self), from_raw::IntArrayRef(dim)));
+        from_raw::Tensor(self), from_raw::optional::IntArrayRef(dim)));
   LANTERN_FUNCTION_END
 }
 
@@ -22199,6 +23100,14 @@ void* _lantern_linalg_eig_out_tensor_tensor_tensor(void* eigenvalues, void* eige
   LANTERN_FUNCTION_END
 }
 
+void* _lantern__linalg_eigvals_tensor(void* self)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_linalg_eigvals(
+        from_raw::Tensor(self)));
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern_linalg_eigvals_tensor(void* self)
 {
   LANTERN_FUNCTION_START
@@ -22411,7 +23320,7 @@ void* _lantern_linalg_norm_tensor_scalar_intarrayref_bool_scalartype(void* self,
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::linalg_norm(
-        from_raw::Tensor(self), from_raw::optional::Scalar(ord), from_raw::IntArrayRef(dim), from_raw::bool_t(keepdim), from_raw::optional::ScalarType(dtype)));
+        from_raw::Tensor(self), from_raw::optional::Scalar(ord), from_raw::optional::IntArrayRef(dim), from_raw::bool_t(keepdim), from_raw::optional::ScalarType(dtype)));
   LANTERN_FUNCTION_END
 }
 
@@ -22419,7 +23328,7 @@ void* _lantern_linalg_norm_tensor_cstringview_intarrayref_bool_scalartype(void*
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::linalg_norm(
-        from_raw::Tensor(self), from_raw::string_view(ord), from_raw::IntArrayRef(dim), from_raw::bool_t(keepdim), from_raw::optional::ScalarType(dtype)));
+        from_raw::Tensor(self), from_raw::string_view(ord), from_raw::optional::IntArrayRef(dim), from_raw::bool_t(keepdim), from_raw::optional::ScalarType(dtype)));
   LANTERN_FUNCTION_END
 }
 
@@ -22427,7 +23336,7 @@ void* _lantern_linalg_norm_out_tensor_tensor_scalar_intarrayref_bool_scalartype(
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::linalg_norm_out(
-        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::optional::Scalar(ord), from_raw::IntArrayRef(dim), from_raw::bool_t(keepdim), from_raw::optional::ScalarType(dtype)));
+        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::optional::Scalar(ord), from_raw::optional::IntArrayRef(dim), from_raw::bool_t(keepdim), from_raw::optional::ScalarType(dtype)));
   LANTERN_FUNCTION_END
 }
 
@@ -22435,7 +23344,7 @@ void* _lantern_linalg_norm_out_tensor_tensor_cstringview_intarrayref_bool_scalar
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::linalg_norm_out(
-        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::string_view(ord), from_raw::IntArrayRef(dim), from_raw::bool_t(keepdim), from_raw::optional::ScalarType(dtype)));
+        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::string_view(ord), from_raw::optional::IntArrayRef(dim), from_raw::bool_t(keepdim), from_raw::optional::ScalarType(dtype)));
   LANTERN_FUNCTION_END
 }
 
@@ -22443,7 +23352,7 @@ void* _lantern_linalg_vector_norm_tensor_scalar_intarrayref_bool_scalartype(void
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::linalg_vector_norm(
-        from_raw::Tensor(self), from_raw::Scalar(ord), from_raw::IntArrayRef(dim), from_raw::bool_t(keepdim), from_raw::optional::ScalarType(dtype)));
+        from_raw::Tensor(self), from_raw::Scalar(ord), from_raw::optional::IntArrayRef(dim), from_raw::bool_t(keepdim), from_raw::optional::ScalarType(dtype)));
   LANTERN_FUNCTION_END
 }
 
@@ -22451,7 +23360,7 @@ void* _lantern_linalg_vector_norm_out_tensor_tensor_scalar_intarrayref_bool_scal
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::linalg_vector_norm_out(
-        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::Scalar(ord), from_raw::IntArrayRef(dim), from_raw::bool_t(keepdim), from_raw::optional::ScalarType(dtype)));
+        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::Scalar(ord), from_raw::optional::IntArrayRef(dim), from_raw::bool_t(keepdim), from_raw::optional::ScalarType(dtype)));
   LANTERN_FUNCTION_END
 }
 
@@ -22671,6 +23580,14 @@ void* _lantern_linalg_solve_tensor_tensor_bool(void* A, void* B, void* left)
   LANTERN_FUNCTION_END
 }
 
+void* _lantern__spsolve_tensor_tensor_bool(void* A, void* B, void* left)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_spsolve(
+        from_raw::Tensor(A), from_raw::Tensor(B), from_raw::bool_t(left)));
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern_linalg_solve_out_tensor_tensor_tensor_bool(void* out, void* A, void* B, void* left)
 {
   LANTERN_FUNCTION_START
@@ -22699,7 +23616,7 @@ void* _lantern_linalg_tensorsolve_tensor_tensor_intarrayref(void* self, void* ot
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::linalg_tensorsolve(
-        from_raw::Tensor(self), from_raw::Tensor(other), from_raw::IntArrayRef(dims)));
+        from_raw::Tensor(self), from_raw::Tensor(other), from_raw::optional::IntArrayRef(dims)));
   LANTERN_FUNCTION_END
 }
 
@@ -22707,7 +23624,7 @@ void* _lantern_linalg_tensorsolve_out_tensor_tensor_tensor_intarrayref(void* out
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::linalg_tensorsolve_out(
-        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::Tensor(other), from_raw::IntArrayRef(dims)));
+        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::Tensor(other), from_raw::optional::IntArrayRef(dims)));
   LANTERN_FUNCTION_END
 }
 
@@ -22827,7 +23744,7 @@ void* _lantern_nested_to_padded_tensor_tensor_double_intarrayref(void* self, voi
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::nested_to_padded_tensor(
-        from_raw::Tensor(self), from_raw::double_t(padding), from_raw::IntArrayRef(output_size)));
+        from_raw::Tensor(self), from_raw::double_t(padding), from_raw::optional::IntArrayRef(output_size)));
   LANTERN_FUNCTION_END
 }
 
@@ -22839,11 +23756,19 @@ void* _lantern__test_serialization_subcmul_tensor_tensor_scalar(void* self, void
   LANTERN_FUNCTION_END
 }
 
+void* _lantern__test_parallel_materialize_tensor_intt_bool(void* self, void* num_parallel, void* skip_first)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_test_parallel_materialize(
+        from_raw::Tensor(self), from_raw::int64_t(num_parallel), from_raw::bool_t(skip_first)));
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern__test_optional_intlist_tensor_intarrayref(void* values, void* addends)
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::_test_optional_intlist(
-        from_raw::Tensor(values), from_raw::IntArrayRef(addends)));
+        from_raw::Tensor(values), from_raw::optional::IntArrayRef(addends)));
   LANTERN_FUNCTION_END
 }
 
@@ -22851,7 +23776,7 @@ void* _lantern__test_optional_filled_intlist_tensor_intarrayref(void* values, vo
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::_test_optional_filled_intlist(
-        from_raw::Tensor(values), from_raw::IntArrayRef(addends)));
+        from_raw::Tensor(values), from_raw::optional::IntArrayRef(addends)));
   LANTERN_FUNCTION_END
 }
 
@@ -22943,11 +23868,11 @@ void* _lantern__segment_reduce_backward_tensor_tensor_tensor_cstringview_tensor_
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_pad_sequence_tensorlist_bool_double(void* sequences, void* batch_first, void* padding_value)
+void* _lantern_pad_sequence_tensorlist_bool_double_cstringview(void* sequences, void* batch_first, void* padding_value, void* padding_side)
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::pad_sequence(
-        from_raw::TensorList(sequences), from_raw::bool_t(batch_first), from_raw::double_t(padding_value)));
+        from_raw::TensorList(sequences), from_raw::bool_t(batch_first), from_raw::double_t(padding_value), from_raw::string_view(padding_side)));
   LANTERN_FUNCTION_END
 }
 
@@ -23291,7 +24216,23 @@ void* _lantern_Tensor_to_padded_tensor_tensor_double_intarrayref(void* self, voi
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(from_raw::Tensor(self).to_padded_tensor(
-        from_raw::double_t(padding), from_raw::IntArrayRef(output_size)));
+        from_raw::double_t(padding), from_raw::optional::IntArrayRef(output_size)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__jagged_to_padded_dense_forward_tensor_tensorlist_intarrayref_double(void* values, void* offsets, void* max_lengths, void* padding_value)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_jagged_to_padded_dense_forward(
+        from_raw::Tensor(values), from_raw::TensorList(offsets), from_raw::IntArrayRef(max_lengths), from_raw::double_t(padding_value)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__padded_dense_to_jagged_forward_tensor_tensorlist_intt(void* dense, void* offsets, void* total_L)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_padded_dense_to_jagged_forward(
+        from_raw::Tensor(dense), from_raw::TensorList(offsets), from_raw::optional::int64_t(total_L)));
   LANTERN_FUNCTION_END
 }
 
@@ -23303,6 +24244,14 @@ void* _lantern__nested_tensor_softmax_with_shape_tensor_tensor(void* self, void*
   LANTERN_FUNCTION_END
 }
 
+void* _lantern__safe_softmax_tensor_intt_scalartype(void* self, void* dim, void* dtype)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_safe_softmax(
+        from_raw::Tensor(self), from_raw::int64_t(dim), from_raw::optional::ScalarType(dtype)));
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern__transformer_encoder_layer_fwd_tensor_intt_intt_tensor_tensor_tensor_tensor_bool_bool_double_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt(void* src, void* embed_dim, void* num_heads, void* qkv_weight, void* qkv_bias, void* proj_weight, void* proj_bias, void* use_gelu, void* norm_first, void* eps, void* norm_weight_1, void* norm_bias_1, void* norm_weight_2, void* norm_bias_2, void* ffn_weight_1, void* ffn_bias_1, void* ffn_weight_2, void* ffn_bias_2, void* mask, void* mask_type)
 {
   LANTERN_FUNCTION_START
@@ -23319,107 +24268,147 @@ void* _lantern__native_multi_head_attention_tensor_tensor_tensor_intt_intt_tenso
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_scaled_dot_product_attention_tensor_tensor_tensor_tensor_double_bool(void* query, void* key, void* value, void* attn_mask, void* dropout_p, void* is_causal)
+void* _lantern_scaled_dot_product_attention_tensor_tensor_tensor_tensor_double_bool_double_bool(void* query, void* key, void* value, void* attn_mask, void* dropout_p, void* is_causal, void* scale, void* enable_gqa)
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::scaled_dot_product_attention(
-        from_raw::Tensor(query), from_raw::Tensor(key), from_raw::Tensor(value), from_raw::optional::Tensor(attn_mask), from_raw::double_t(dropout_p), from_raw::bool_t(is_causal)));
+        from_raw::Tensor(query), from_raw::Tensor(key), from_raw::Tensor(value), from_raw::optional::Tensor(attn_mask), from_raw::double_t(dropout_p), from_raw::bool_t(is_causal), from_raw::optional::double_t(scale), from_raw::bool_t(enable_gqa)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__scaled_dot_product_attention_tensor_tensor_tensor_tensor_double_bool_bool(void* query, void* key, void* value, void* attn_mask, void* dropout_p, void* need_attn_weights, void* is_causal)
+void* _lantern__fused_sdp_choice_tensor_tensor_tensor_tensor_double_bool_double_bool(void* query, void* key, void* value, void* attn_mask, void* dropout_p, void* is_causal, void* scale, void* enable_gqa)
 {
   LANTERN_FUNCTION_START
-    return make_raw::tuple(torch::_scaled_dot_product_attention(
-        from_raw::Tensor(query), from_raw::Tensor(key), from_raw::Tensor(value), from_raw::optional::Tensor(attn_mask), from_raw::double_t(dropout_p), from_raw::bool_t(need_attn_weights), from_raw::bool_t(is_causal)));
+    return make_raw::int64_t(torch::_fused_sdp_choice(
+        from_raw::Tensor(query), from_raw::Tensor(key), from_raw::Tensor(value), from_raw::optional::Tensor(attn_mask), from_raw::double_t(dropout_p), from_raw::bool_t(is_causal), from_raw::optional::double_t(scale), from_raw::bool_t(enable_gqa)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__fused_sdp_choice_tensor_tensor_tensor_tensor_double_bool(void* query, void* key, void* value, void* attn_mask, void* dropout_p, void* is_causal)
+void* _lantern__scaled_dot_product_attention_math_tensor_tensor_tensor_tensor_double_bool_tensor_double_bool(void* query, void* key, void* value, void* attn_mask, void* dropout_p, void* is_causal, void* dropout_mask, void* scale, void* enable_gqa)
 {
   LANTERN_FUNCTION_START
-    return make_raw::int64_t(torch::_fused_sdp_choice(
-        from_raw::Tensor(query), from_raw::Tensor(key), from_raw::Tensor(value), from_raw::optional::Tensor(attn_mask), from_raw::double_t(dropout_p), from_raw::bool_t(is_causal)));
+    return make_raw::tuple(torch::_scaled_dot_product_attention_math(
+        from_raw::Tensor(query), from_raw::Tensor(key), from_raw::Tensor(value), from_raw::optional::Tensor(attn_mask), from_raw::double_t(dropout_p), from_raw::bool_t(is_causal), from_raw::optional::Tensor(dropout_mask), from_raw::optional::double_t(scale), from_raw::bool_t(enable_gqa)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__scaled_dot_product_attention_math_tensor_tensor_tensor_tensor_double_bool_tensor(void* query, void* key, void* value, void* attn_mask, void* dropout_p, void* is_causal, void* dropout_mask)
+void* _lantern__scaled_dot_product_attention_math_for_mps_tensor_tensor_tensor_tensor_double_bool_tensor_double(void* query, void* key, void* value, void* attn_mask, void* dropout_p, void* is_causal, void* dropout_mask, void* scale)
 {
   LANTERN_FUNCTION_START
-    return make_raw::tuple(torch::_scaled_dot_product_attention_math(
-        from_raw::Tensor(query), from_raw::Tensor(key), from_raw::Tensor(value), from_raw::optional::Tensor(attn_mask), from_raw::double_t(dropout_p), from_raw::bool_t(is_causal), from_raw::optional::Tensor(dropout_mask)));
+    return make_raw::tuple(torch::_scaled_dot_product_attention_math_for_mps(
+        from_raw::Tensor(query), from_raw::Tensor(key), from_raw::Tensor(value), from_raw::optional::Tensor(attn_mask), from_raw::double_t(dropout_p), from_raw::bool_t(is_causal), from_raw::optional::Tensor(dropout_mask), from_raw::optional::double_t(scale)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__scaled_dot_product_flash_attention_tensor_tensor_tensor_double_bool_bool(void* query, void* key, void* value, void* dropout_p, void* is_causal, void* return_debug_mask)
+void* _lantern__scaled_dot_product_flash_attention_tensor_tensor_tensor_double_bool_bool_double(void* query, void* key, void* value, void* dropout_p, void* is_causal, void* return_debug_mask, void* scale)
 {
   LANTERN_FUNCTION_START
     return make_raw::tuple(torch::_scaled_dot_product_flash_attention(
-        from_raw::Tensor(query), from_raw::Tensor(key), from_raw::Tensor(value), from_raw::double_t(dropout_p), from_raw::bool_t(is_causal), from_raw::bool_t(return_debug_mask)));
+        from_raw::Tensor(query), from_raw::Tensor(key), from_raw::Tensor(value), from_raw::double_t(dropout_p), from_raw::bool_t(is_causal), from_raw::bool_t(return_debug_mask), from_raw::optional::double_t(scale)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__scaled_dot_product_flash_attention_for_cpu_tensor_tensor_tensor_double_bool_tensor_double(void* query, void* key, void* value, void* dropout_p, void* is_causal, void* attn_mask, void* scale)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::tuple(torch::_scaled_dot_product_flash_attention_for_cpu(
+        from_raw::Tensor(query), from_raw::Tensor(key), from_raw::Tensor(value), from_raw::double_t(dropout_p), from_raw::bool_t(is_causal), from_raw::optional::Tensor(attn_mask), from_raw::optional::double_t(scale)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__scaled_dot_product_fused_attention_overrideable_tensor_tensor_tensor_tensor_double_bool_bool_double(void* query, void* key, void* value, void* attn_bias, void* dropout_p, void* is_causal, void* return_debug_mask, void* scale)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::tuple(torch::_scaled_dot_product_fused_attention_overrideable(
+        from_raw::Tensor(query), from_raw::Tensor(key), from_raw::Tensor(value), from_raw::optional::Tensor(attn_bias), from_raw::double_t(dropout_p), from_raw::bool_t(is_causal), from_raw::bool_t(return_debug_mask), from_raw::optional::double_t(scale)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__scaled_dot_product_flash_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_intt_intt(void* grad_out, void* query, void* key, void* value, void* out, void* logsumexp, void* cum_seq_q, void* cum_seq_k, void* max_q, void* max_k, void* dropout_p, void* is_causal, void* philox_seed, void* philox_offset)
+void* _lantern__scaled_dot_product_flash_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_tensor_tensor_double(void* grad_out, void* query, void* key, void* value, void* out, void* logsumexp, void* cum_seq_q, void* cum_seq_k, void* max_q, void* max_k, void* dropout_p, void* is_causal, void* philox_seed, void* philox_offset, void* scale)
 {
   LANTERN_FUNCTION_START
     return make_raw::tuple(torch::_scaled_dot_product_flash_attention_backward(
-        from_raw::Tensor(grad_out), from_raw::Tensor(query), from_raw::Tensor(key), from_raw::Tensor(value), from_raw::Tensor(out), from_raw::Tensor(logsumexp), from_raw::Tensor(cum_seq_q), from_raw::Tensor(cum_seq_k), from_raw::int64_t(max_q), from_raw::int64_t(max_k), from_raw::double_t(dropout_p), from_raw::bool_t(is_causal), from_raw::int64_t(philox_seed), from_raw::int64_t(philox_offset)));
+        from_raw::Tensor(grad_out), from_raw::Tensor(query), from_raw::Tensor(key), from_raw::Tensor(value), from_raw::Tensor(out), from_raw::Tensor(logsumexp), from_raw::Tensor(cum_seq_q), from_raw::Tensor(cum_seq_k), from_raw::int64_t(max_q), from_raw::int64_t(max_k), from_raw::double_t(dropout_p), from_raw::bool_t(is_causal), from_raw::Tensor(philox_seed), from_raw::Tensor(philox_offset), from_raw::optional::double_t(scale)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__scaled_dot_product_flash_attention_for_cpu_backward_tensor_tensor_tensor_tensor_tensor_tensor_double_bool_tensor_double(void* grad_out, void* query, void* key, void* value, void* out, void* logsumexp, void* dropout_p, void* is_causal, void* attn_mask, void* scale)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::tuple(torch::_scaled_dot_product_flash_attention_for_cpu_backward(
+        from_raw::Tensor(grad_out), from_raw::Tensor(query), from_raw::Tensor(key), from_raw::Tensor(value), from_raw::Tensor(out), from_raw::Tensor(logsumexp), from_raw::double_t(dropout_p), from_raw::bool_t(is_causal), from_raw::optional::Tensor(attn_mask), from_raw::optional::double_t(scale)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__scaled_dot_product_fused_attention_overrideable_backward_tensor_tensor_tensor_tensor_tensor_stdarraybool_tensor_tensor_tensor_tensor_intt_intt_double_bool_tensor_tensor_double(void* grad_out, void* query, void* key, void* value, void* attn_bias, void* grad_input_mask, void* out, void* logsumexp, void* cum_seq_q, void* cum_seq_k, void* max_q, void* max_k, void* dropout_p, void* is_causal, void* philox_seed, void* philox_offset, void* scale)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::tuple(torch::_scaled_dot_product_fused_attention_overrideable_backward(
+        from_raw::Tensor(grad_out), from_raw::Tensor(query), from_raw::Tensor(key), from_raw::Tensor(value), from_raw::Tensor(attn_bias), from_raw::vector::bool_t(grad_input_mask), from_raw::Tensor(out), from_raw::Tensor(logsumexp), from_raw::Tensor(cum_seq_q), from_raw::Tensor(cum_seq_k), from_raw::int64_t(max_q), from_raw::int64_t(max_k), from_raw::double_t(dropout_p), from_raw::bool_t(is_causal), from_raw::Tensor(philox_seed), from_raw::Tensor(philox_offset), from_raw::optional::double_t(scale)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__scaled_dot_product_efficient_attention_tensor_tensor_tensor_bool_bool(void* query, void* key, void* value, void* compute_log_sumexp, void* is_causal)
+void* _lantern__scaled_dot_product_efficient_attention_tensor_tensor_tensor_tensor_bool_double_bool_double(void* query, void* key, void* value, void* attn_bias, void* compute_log_sumexp, void* dropout_p, void* is_causal, void* scale)
 {
   LANTERN_FUNCTION_START
     return make_raw::tuple(torch::_scaled_dot_product_efficient_attention(
-        from_raw::Tensor(query), from_raw::Tensor(key), from_raw::Tensor(value), from_raw::bool_t(compute_log_sumexp), from_raw::bool_t(is_causal)));
+        from_raw::Tensor(query), from_raw::Tensor(key), from_raw::Tensor(value), from_raw::optional::Tensor(attn_bias), from_raw::bool_t(compute_log_sumexp), from_raw::double_t(dropout_p), from_raw::bool_t(is_causal), from_raw::optional::double_t(scale)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__scaled_dot_product_efficient_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_bool_bool(void* grad_out_, void* query, void* key, void* value, void* out, void* logsumexp, void* is_causal, void* chunk_grad_outputs)
+void* _lantern__scaled_dot_product_efficient_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_stdarraybool_bool_double(void* grad_out_, void* query, void* key, void* value, void* attn_bias, void* out, void* logsumexp, void* philox_seed, void* philox_offset, void* dropout_p, void* grad_input_mask, void* is_causal, void* scale)
 {
   LANTERN_FUNCTION_START
     return make_raw::tuple(torch::_scaled_dot_product_efficient_attention_backward(
-        from_raw::Tensor(grad_out_), from_raw::Tensor(query), from_raw::Tensor(key), from_raw::Tensor(value), from_raw::Tensor(out), from_raw::Tensor(logsumexp), from_raw::bool_t(is_causal), from_raw::bool_t(chunk_grad_outputs)));
+        from_raw::Tensor(grad_out_), from_raw::Tensor(query), from_raw::Tensor(key), from_raw::Tensor(value), from_raw::Tensor(attn_bias), from_raw::Tensor(out), from_raw::Tensor(logsumexp), from_raw::Tensor(philox_seed), from_raw::Tensor(philox_offset), from_raw::double_t(dropout_p), from_raw::vector::bool_t(grad_input_mask), from_raw::bool_t(is_causal), from_raw::optional::double_t(scale)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__scaled_dot_product_cudnn_attention_tensor_tensor_tensor_tensor_bool_double_bool_bool_double(void* query, void* key, void* value, void* attn_bias, void* compute_log_sumexp, void* dropout_p, void* is_causal, void* return_debug_mask, void* scale)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::tuple(torch::_scaled_dot_product_cudnn_attention(
+        from_raw::Tensor(query), from_raw::Tensor(key), from_raw::Tensor(value), from_raw::optional::Tensor(attn_bias), from_raw::bool_t(compute_log_sumexp), from_raw::double_t(dropout_p), from_raw::bool_t(is_causal), from_raw::bool_t(return_debug_mask), from_raw::optional::double_t(scale)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__chunk_grad_outputs_efficient_attention_tensor_tensor_tensor_bool(void* query, void* key, void* value, void* is_causal)
+void* _lantern__scaled_dot_product_cudnn_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_double(void* grad_out, void* query, void* key, void* value, void* out, void* logsumexp, void* philox_seed, void* philox_offset, void* attn_bias, void* cum_seq_q, void* cum_seq_k, void* max_q, void* max_k, void* dropout_p, void* is_causal, void* scale)
 {
   LANTERN_FUNCTION_START
-    return make_raw::bool_t(torch::_chunk_grad_outputs_efficient_attention(
-        from_raw::Tensor(query), from_raw::Tensor(key), from_raw::Tensor(value), from_raw::bool_t(is_causal)));
+    return make_raw::tuple(torch::_scaled_dot_product_cudnn_attention_backward(
+        from_raw::Tensor(grad_out), from_raw::Tensor(query), from_raw::Tensor(key), from_raw::Tensor(value), from_raw::Tensor(out), from_raw::Tensor(logsumexp), from_raw::Tensor(philox_seed), from_raw::Tensor(philox_offset), from_raw::Tensor(attn_bias), from_raw::Tensor(cum_seq_q), from_raw::Tensor(cum_seq_k), from_raw::int64_t(max_q), from_raw::int64_t(max_k), from_raw::double_t(dropout_p), from_raw::bool_t(is_causal), from_raw::optional::double_t(scale)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__flash_attention_forward_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_bool(void* query, void* key, void* value, void* cum_seq_q, void* cum_seq_k, void* max_q, void* max_k, void* dropout_p, void* is_causal, void* return_debug_mask)
+void* _lantern__flash_attention_forward_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_bool_double_intt_intt_tensor_tensor(void* query, void* key, void* value, void* cum_seq_q, void* cum_seq_k, void* max_q, void* max_k, void* dropout_p, void* is_causal, void* return_debug_mask, void* scale, void* window_size_left, void* window_size_right, void* seqused_k, void* alibi_slopes)
 {
   LANTERN_FUNCTION_START
     return make_raw::tuple(torch::_flash_attention_forward(
-        from_raw::Tensor(query), from_raw::Tensor(key), from_raw::Tensor(value), from_raw::Tensor(cum_seq_q), from_raw::Tensor(cum_seq_k), from_raw::int64_t(max_q), from_raw::int64_t(max_k), from_raw::double_t(dropout_p), from_raw::bool_t(is_causal), from_raw::bool_t(return_debug_mask)));
+        from_raw::Tensor(query), from_raw::Tensor(key), from_raw::Tensor(value), from_raw::optional::Tensor(cum_seq_q), from_raw::optional::Tensor(cum_seq_k), from_raw::int64_t(max_q), from_raw::int64_t(max_k), from_raw::double_t(dropout_p), from_raw::bool_t(is_causal), from_raw::bool_t(return_debug_mask), from_raw::optional::double_t(scale), from_raw::optional::int64_t(window_size_left), from_raw::optional::int64_t(window_size_right), from_raw::optional::Tensor(seqused_k), from_raw::optional::Tensor(alibi_slopes)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__flash_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_intt_intt(void* grad_out, void* query, void* key, void* value, void* out, void* logsumexp, void* cum_seq_q, void* cum_seq_k, void* max_q, void* max_k, void* dropout_p, void* is_causal, void* philox_seed, void* philox_offset)
+void* _lantern__flash_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_bool_tensor_tensor_double_intt_intt(void* grad_out, void* query, void* key, void* value, void* out, void* logsumexp, void* cum_seq_q, void* cum_seq_k, void* max_q, void* max_k, void* dropout_p, void* is_causal, void* philox_seed, void* philox_offset, void* scale, void* window_size_left, void* window_size_right)
 {
   LANTERN_FUNCTION_START
     return make_raw::tuple(torch::_flash_attention_backward(
-        from_raw::Tensor(grad_out), from_raw::Tensor(query), from_raw::Tensor(key), from_raw::Tensor(value), from_raw::Tensor(out), from_raw::Tensor(logsumexp), from_raw::Tensor(cum_seq_q), from_raw::Tensor(cum_seq_k), from_raw::int64_t(max_q), from_raw::int64_t(max_k), from_raw::double_t(dropout_p), from_raw::bool_t(is_causal), from_raw::int64_t(philox_seed), from_raw::int64_t(philox_offset)));
+        from_raw::Tensor(grad_out), from_raw::Tensor(query), from_raw::Tensor(key), from_raw::Tensor(value), from_raw::Tensor(out), from_raw::Tensor(logsumexp), from_raw::Tensor(cum_seq_q), from_raw::Tensor(cum_seq_k), from_raw::int64_t(max_q), from_raw::int64_t(max_k), from_raw::double_t(dropout_p), from_raw::bool_t(is_causal), from_raw::Tensor(philox_seed), from_raw::Tensor(philox_offset), from_raw::optional::double_t(scale), from_raw::optional::int64_t(window_size_left), from_raw::optional::int64_t(window_size_right)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__efficient_attention_forward_tensor_tensor_tensor_tensor_tensor_intt_bool_bool(void* query, void* key, void* value, void* cu_seqlens_q, void* cu_seqlens_k, void* max_seqlen_q, void* compute_log_sumexp, void* causal)
+void* _lantern__efficient_attention_forward_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_double_intt_bool_double_tensor_intt(void* query, void* key, void* value, void* bias, void* cu_seqlens_q, void* cu_seqlens_k, void* max_seqlen_q, void* max_seqlen_k, void* dropout_p, void* custom_mask_type, void* compute_log_sumexp, void* scale, void* seqlen_k, void* window_size)
 {
   LANTERN_FUNCTION_START
     return make_raw::tuple(torch::_efficient_attention_forward(
-        from_raw::Tensor(query), from_raw::Tensor(key), from_raw::Tensor(value), from_raw::optional::Tensor(cu_seqlens_q), from_raw::optional::Tensor(cu_seqlens_k), from_raw::optional::int64_t(max_seqlen_q), from_raw::bool_t(compute_log_sumexp), from_raw::bool_t(causal)));
+        from_raw::Tensor(query), from_raw::Tensor(key), from_raw::Tensor(value), from_raw::optional::Tensor(bias), from_raw::optional::Tensor(cu_seqlens_q), from_raw::optional::Tensor(cu_seqlens_k), from_raw::optional::int64_t(max_seqlen_q), from_raw::optional::int64_t(max_seqlen_k), from_raw::double_t(dropout_p), from_raw::int64_t(custom_mask_type), from_raw::bool_t(compute_log_sumexp), from_raw::optional::double_t(scale), from_raw::optional::Tensor(seqlen_k), from_raw::optional::int64_t(window_size)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__efficient_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_bool_bool(void* grad_out_, void* query, void* key, void* value, void* out, void* logsumexp, void* is_causal, void* chunk_grad_outputs)
+void* _lantern__efficient_attention_backward_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_tensor_double_tensor_tensor_intt_bool_double_intt_intt_bool(void* grad_out_, void* query, void* key, void* value, void* bias, void* out, void* cu_seqlens_q, void* cu_seqlens_k, void* max_seqlen_q, void* max_seqlen_k, void* logsumexp, void* dropout_p, void* philox_seed, void* philox_offset, void* custom_mask_type, void* bias_requires_grad, void* scale, void* num_splits_key, void* window_size, void* shared_storage_dqdkdv)
 {
   LANTERN_FUNCTION_START
     return make_raw::tuple(torch::_efficient_attention_backward(
-        from_raw::Tensor(grad_out_), from_raw::Tensor(query), from_raw::Tensor(key), from_raw::Tensor(value), from_raw::Tensor(out), from_raw::Tensor(logsumexp), from_raw::bool_t(is_causal), from_raw::bool_t(chunk_grad_outputs)));
+        from_raw::Tensor(grad_out_), from_raw::Tensor(query), from_raw::Tensor(key), from_raw::Tensor(value), from_raw::optional::Tensor(bias), from_raw::Tensor(out), from_raw::optional::Tensor(cu_seqlens_q), from_raw::optional::Tensor(cu_seqlens_k), from_raw::int64_t(max_seqlen_q), from_raw::int64_t(max_seqlen_k), from_raw::Tensor(logsumexp), from_raw::double_t(dropout_p), from_raw::Tensor(philox_seed), from_raw::Tensor(philox_offset), from_raw::int64_t(custom_mask_type), from_raw::bool_t(bias_requires_grad), from_raw::optional::double_t(scale), from_raw::optional::int64_t(num_splits_key), from_raw::optional::int64_t(window_size), from_raw::bool_t(shared_storage_dqdkdv)));
   LANTERN_FUNCTION_END
 }
 
@@ -23431,6 +24420,14 @@ void* _lantern__triton_scaled_dot_attention_tensor_tensor_tensor_double(void* q,
   LANTERN_FUNCTION_END
 }
 
+void* _lantern__fill_mem_eff_dropout_mask__tensor_double_intt_intt(void* self, void* dropout_p, void* seed, void* offset)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_fill_mem_eff_dropout_mask_(
+        from_raw::Tensor(self), from_raw::double_t(dropout_p), from_raw::int64_t(seed), from_raw::int64_t(offset)));
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern__triton_multi_head_attention_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_tensor(void* query, void* key, void* value, void* embed_dim, void* num_head, void* qkv_weight, void* qkv_bias, void* proj_weight, void* proj_bias, void* mask)
 {
   LANTERN_FUNCTION_START
@@ -23455,22 +24452,6 @@ void* _lantern_special_airy_ai_out_tensor_tensor(void* out, void* x)
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__transformer_decoder_only_layer_fwd_tensor_intt_intt_tensor_tensor_tensor_tensor_bool_bool_double_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor(void* src, void* embed_dim, void* num_heads, void* qkv_weight, void* qkv_bias, void* proj_weight, void* proj_bias, void* use_gelu, void* norm_first, void* eps, void* norm_weight_1, void* norm_bias_1, void* norm_weight_2, void* norm_bias_2, void* ffn_weight_1, void* ffn_bias_1, void* ffn_weight_2, void* ffn_bias_2, void* mask, void* incr_key, void* incr_value)
-{
-  LANTERN_FUNCTION_START
-    return make_raw::tuple(torch::_transformer_decoder_only_layer_fwd(
-        from_raw::Tensor(src), from_raw::int64_t(embed_dim), from_raw::int64_t(num_heads), from_raw::Tensor(qkv_weight), from_raw::Tensor(qkv_bias), from_raw::Tensor(proj_weight), from_raw::Tensor(proj_bias), from_raw::bool_t(use_gelu), from_raw::bool_t(norm_first), from_raw::double_t(eps), from_raw::Tensor(norm_weight_1), from_raw::Tensor(norm_bias_1), from_raw::Tensor(norm_weight_2), from_raw::Tensor(norm_bias_2), from_raw::Tensor(ffn_weight_1), from_raw::Tensor(ffn_bias_1), from_raw::Tensor(ffn_weight_2), from_raw::Tensor(ffn_bias_2), from_raw::optional::Tensor(mask), from_raw::optional::Tensor(incr_key), from_raw::optional::Tensor(incr_value)));
-  LANTERN_FUNCTION_END
-}
-
-void* _lantern__native_decoder_only_multi_head_attention_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_bool(void* query, void* key, void* value, void* embed_dim, void* num_head, void* qkv_weight, void* qkv_bias, void* proj_weight, void* proj_bias, void* mask, void* incr_key, void* incr_value, void* need_weights, void* average_attn_weights)
-{
-  LANTERN_FUNCTION_START
-    return make_raw::tuple(torch::_native_decoder_only_multi_head_attention(
-        from_raw::Tensor(query), from_raw::Tensor(key), from_raw::Tensor(value), from_raw::int64_t(embed_dim), from_raw::int64_t(num_head), from_raw::Tensor(qkv_weight), from_raw::Tensor(qkv_bias), from_raw::Tensor(proj_weight), from_raw::Tensor(proj_bias), from_raw::optional::Tensor(mask), from_raw::optional::Tensor(incr_key), from_raw::optional::Tensor(incr_value), from_raw::bool_t(need_weights), from_raw::bool_t(average_attn_weights)));
-  LANTERN_FUNCTION_END
-}
-
 void* _lantern_special_bessel_j0_tensor(void* self)
 {
   LANTERN_FUNCTION_START
@@ -24239,6 +25220,14 @@ void* _lantern__fused_adam__tensorlist_tensorlist_tensorlist_tensorlist_tensorli
   LANTERN_FUNCTION_END
 }
 
+void* _lantern__fused_adam__tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor(void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf)
+{
+  LANTERN_FUNCTION_START
+    torch::_fused_adam_(from_raw::TensorList(self), from_raw::TensorList(grads), from_raw::TensorList(exp_avgs), from_raw::TensorList(exp_avg_sqs), from_raw::TensorList(max_exp_avg_sqs), from_raw::TensorList(state_steps), from_raw::Tensor(lr), from_raw::double_t(beta1), from_raw::double_t(beta2), from_raw::double_t(weight_decay), from_raw::double_t(eps), from_raw::bool_t(amsgrad), from_raw::bool_t(maximize), from_raw::optional::Tensor(grad_scale), from_raw::optional::Tensor(found_inf));
+    return NULL;
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern__fused_adamw__tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor(void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf)
 {
   LANTERN_FUNCTION_START
@@ -24247,6 +25236,46 @@ void* _lantern__fused_adamw__tensorlist_tensorlist_tensorlist_tensorlist_tensorl
   LANTERN_FUNCTION_END
 }
 
+void* _lantern__fused_adamw__tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor(void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf)
+{
+  LANTERN_FUNCTION_START
+    torch::_fused_adamw_(from_raw::TensorList(self), from_raw::TensorList(grads), from_raw::TensorList(exp_avgs), from_raw::TensorList(exp_avg_sqs), from_raw::TensorList(max_exp_avg_sqs), from_raw::TensorList(state_steps), from_raw::Tensor(lr), from_raw::double_t(beta1), from_raw::double_t(beta2), from_raw::double_t(weight_decay), from_raw::double_t(eps), from_raw::bool_t(amsgrad), from_raw::bool_t(maximize), from_raw::optional::Tensor(grad_scale), from_raw::optional::Tensor(found_inf));
+    return NULL;
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__fused_sgd__tensorlist_tensorlist_tensorlist_double_double_double_double_bool_bool_bool_tensor_tensor(void* self, void* grads, void* momentum_buffer_list, void* weight_decay, void* momentum, void* lr, void* dampening, void* nesterov, void* maximize, void* is_first_step, void* grad_scale, void* found_inf)
+{
+  LANTERN_FUNCTION_START
+    torch::_fused_sgd_(from_raw::TensorList(self), from_raw::TensorList(grads), from_raw::TensorList(momentum_buffer_list), from_raw::double_t(weight_decay), from_raw::double_t(momentum), from_raw::double_t(lr), from_raw::double_t(dampening), from_raw::bool_t(nesterov), from_raw::bool_t(maximize), from_raw::bool_t(is_first_step), from_raw::optional::Tensor(grad_scale), from_raw::optional::Tensor(found_inf));
+    return NULL;
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__fused_sgd__tensorlist_tensorlist_tensorlist_double_double_tensor_double_bool_bool_bool_tensor_tensor(void* self, void* grads, void* momentum_buffer_list, void* weight_decay, void* momentum, void* lr, void* dampening, void* nesterov, void* maximize, void* is_first_step, void* grad_scale, void* found_inf)
+{
+  LANTERN_FUNCTION_START
+    torch::_fused_sgd_(from_raw::TensorList(self), from_raw::TensorList(grads), from_raw::TensorList(momentum_buffer_list), from_raw::double_t(weight_decay), from_raw::double_t(momentum), from_raw::Tensor(lr), from_raw::double_t(dampening), from_raw::bool_t(nesterov), from_raw::bool_t(maximize), from_raw::bool_t(is_first_step), from_raw::optional::Tensor(grad_scale), from_raw::optional::Tensor(found_inf));
+    return NULL;
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__fused_adagrad__tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_tensor_tensor(void* self, void* grads, void* state_sums, void* state_steps, void* lr, void* lr_decay, void* weight_decay, void* eps, void* maximize, void* grad_scale, void* found_inf)
+{
+  LANTERN_FUNCTION_START
+    torch::_fused_adagrad_(from_raw::TensorList(self), from_raw::TensorList(grads), from_raw::TensorList(state_sums), from_raw::TensorList(state_steps), from_raw::double_t(lr), from_raw::double_t(lr_decay), from_raw::double_t(weight_decay), from_raw::double_t(eps), from_raw::bool_t(maximize), from_raw::optional::Tensor(grad_scale), from_raw::optional::Tensor(found_inf));
+    return NULL;
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__propagate_xla_data_tensor_tensor(void* input, void* output)
+{
+  LANTERN_FUNCTION_START
+    torch::_propagate_xla_data(from_raw::Tensor(input), from_raw::Tensor(output));
+    return NULL;
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern__new_zeros_with_same_feature_meta_out_tensor_tensor_tensor_intt(void* out, void* self, void* other, void* self_num_batch_dims)
 {
   LANTERN_FUNCTION_START
@@ -24359,6 +25388,14 @@ void* _lantern_affine_grid_generator_out_tensor_tensor_intarrayref_bool(void* ou
   LANTERN_FUNCTION_END
 }
 
+void* _lantern__test_functorch_fallback_out_tensor_tensor_tensor(void* out, void* self, void* other)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_test_functorch_fallback_out(
+        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::Tensor(other)));
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern_bartlett_window_out_tensor_intt(void* out, void* window_length)
 {
   LANTERN_FUNCTION_START
@@ -24467,7 +25504,7 @@ void* _lantern_convolution_backward_out_tensor_tensor_tensor_tensor_tensor_tenso
 {
   LANTERN_FUNCTION_START
     return make_raw::tuple(torch::convolution_backward_out(
-        from_raw::Tensor(out0), from_raw::Tensor(out1), from_raw::Tensor(out2), from_raw::Tensor(grad_output), from_raw::Tensor(input), from_raw::Tensor(weight), from_raw::IntArrayRef(bias_sizes), from_raw::IntArrayRef(stride), from_raw::IntArrayRef(padding), from_raw::IntArrayRef(dilation), from_raw::bool_t(transposed), from_raw::IntArrayRef(output_padding), from_raw::int64_t(groups), from_raw::vector::bool_t(output_mask)));
+        from_raw::Tensor(out0), from_raw::Tensor(out1), from_raw::Tensor(out2), from_raw::Tensor(grad_output), from_raw::Tensor(input), from_raw::Tensor(weight), from_raw::optional::IntArrayRef(bias_sizes), from_raw::IntArrayRef(stride), from_raw::IntArrayRef(padding), from_raw::IntArrayRef(dilation), from_raw::bool_t(transposed), from_raw::IntArrayRef(output_padding), from_raw::int64_t(groups), from_raw::vector::bool_t(output_mask)));
   LANTERN_FUNCTION_END
 }
 
@@ -24575,14 +25612,6 @@ void* _lantern_cudnn_batch_norm_backward_out_tensor_tensor_tensor_tensor_tensor_
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_cudnn_convolution_out_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intt_bool_bool_bool(void* out, void* self, void* weight, void* padding, void* stride, void* dilation, void* groups, void* benchmark, void* deterministic, void* allow_tf32)
-{
-  LANTERN_FUNCTION_START
-    return make_raw::Tensor(torch::cudnn_convolution_out(
-        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::Tensor(weight), from_raw::IntArrayRef(padding), from_raw::IntArrayRef(stride), from_raw::IntArrayRef(dilation), from_raw::int64_t(groups), from_raw::bool_t(benchmark), from_raw::bool_t(deterministic), from_raw::bool_t(allow_tf32)));
-  LANTERN_FUNCTION_END
-}
-
 void* _lantern_cudnn_convolution_transpose_out_tensor_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_intt_bool_bool_bool(void* out, void* self, void* weight, void* padding, void* output_padding, void* stride, void* dilation, void* groups, void* benchmark, void* deterministic, void* allow_tf32)
 {
   LANTERN_FUNCTION_START
@@ -24767,6 +25796,14 @@ void* _lantern_empty_out_tensor_intarrayref_dimnamelist_memoryformat(void* out,
   LANTERN_FUNCTION_END
 }
 
+void* _lantern_empty_permuted_out_tensor_intarrayref_intarrayref(void* out, void* size, void* physical_layout)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::empty_permuted_out(
+        from_raw::Tensor(out), from_raw::IntArrayRef(size), from_raw::IntArrayRef(physical_layout)));
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern_new_empty_out_tensor_tensor_intarrayref(void* out, void* self, void* size)
 {
   LANTERN_FUNCTION_START
@@ -24895,6 +25932,14 @@ void* _lantern_fill_out_tensor_tensor_tensor(void* out, void* self, void* value)
   LANTERN_FUNCTION_END
 }
 
+void* _lantern_floor_divide_out_tensor_tensor_scalar(void* out, void* self, void* other)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::floor_divide_out(
+        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::Scalar(other)));
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern_full_out_tensor_intarrayref_scalar_dimnamelist(void* out, void* size, void* fill_value, void* names)
 {
   LANTERN_FUNCTION_START
@@ -25047,7 +26092,7 @@ void* _lantern_native_group_norm_backward_out_tensor_tensor_tensor_tensor_tensor
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_index_put_out_tensor_tensor_constclistcoptionaltensor_tensor_bool(void* out, void* self, void* indices, void* values, void* accumulate)
+void* _lantern_index_put_out_tensor_tensor_constcliststdoptionaltensor_tensor_bool(void* out, void* self, void* indices, void* values, void* accumulate)
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::index_put_out(
@@ -25055,7 +26100,7 @@ void* _lantern_index_put_out_tensor_tensor_constclistcoptionaltensor_tensor_bool
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__index_put_impl_out_tensor_tensor_constclistcoptionaltensor_tensor_bool_bool(void* out, void* self, void* indices, void* values, void* accumulate, void* unsafe)
+void* _lantern__index_put_impl_out_tensor_tensor_constcliststdoptionaltensor_tensor_bool_bool(void* out, void* self, void* indices, void* values, void* accumulate, void* unsafe)
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::_index_put_impl_out(
@@ -25063,7 +26108,7 @@ void* _lantern__index_put_impl_out_tensor_tensor_constclistcoptionaltensor_tenso
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__index_put_impl_tensor_constclistcoptionaltensor_tensor_bool_bool(void* self, void* indices, void* values, void* accumulate, void* unsafe)
+void* _lantern__index_put_impl_tensor_constcliststdoptionaltensor_tensor_bool_bool(void* self, void* indices, void* values, void* accumulate, void* unsafe)
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::_index_put_impl(
@@ -25215,6 +26260,14 @@ void* _lantern_quantized_max_pool2d_out_tensor_tensor_intarrayref_intarrayref_in
   LANTERN_FUNCTION_END
 }
 
+void* _lantern_quantized_max_pool3d_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intarrayref_bool(void* out, void* self, void* kernel_size, void* stride, void* padding, void* dilation, void* ceil_mode)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::quantized_max_pool3d_out(
+        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::IntArrayRef(kernel_size), from_raw::IntArrayRef(stride), from_raw::IntArrayRef(padding), from_raw::IntArrayRef(dilation), from_raw::bool_t(ceil_mode)));
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern_median_out_tensor_tensor(void* out, void* self)
 {
   LANTERN_FUNCTION_START
@@ -25351,6 +26404,14 @@ void* _lantern__native_batch_norm_legit_functional_tensor_tensor_tensor_tensor_t
   LANTERN_FUNCTION_END
 }
 
+void* _lantern__native_batch_norm_legit_no_training_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_double(void* out0, void* out1, void* out2, void* input, void* weight, void* bias, void* running_mean, void* running_var, void* momentum, void* eps)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::tuple(torch::_native_batch_norm_legit_no_training_out(
+        from_raw::Tensor(out0), from_raw::Tensor(out1), from_raw::Tensor(out2), from_raw::Tensor(input), from_raw::optional::Tensor(weight), from_raw::optional::Tensor(bias), from_raw::Tensor(running_mean), from_raw::Tensor(running_var), from_raw::double_t(momentum), from_raw::double_t(eps)));
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern_batch_norm_stats_out_tensor_tensor_tensor_double(void* out0, void* out1, void* input, void* eps)
 {
   LANTERN_FUNCTION_START
@@ -25391,11 +26452,11 @@ void* _lantern_batch_norm_backward_reduce_out_tensor_tensor_tensor_tensor_tensor
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_batch_norm_backward_elemt_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor(void* out, void* grad_out, void* input, void* mean, void* invstd, void* weight, void* mean_dy, void* mean_dy_xmu, void* count)
+void* _lantern_batch_norm_backward_elemt_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor(void* out, void* grad_out, void* input, void* mean, void* invstd, void* weight, void* sum_dy, void* sum_dy_xmu, void* count)
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::batch_norm_backward_elemt_out(
-        from_raw::Tensor(out), from_raw::Tensor(grad_out), from_raw::Tensor(input), from_raw::Tensor(mean), from_raw::Tensor(invstd), from_raw::optional::Tensor(weight), from_raw::Tensor(mean_dy), from_raw::Tensor(mean_dy_xmu), from_raw::Tensor(count)));
+        from_raw::Tensor(out), from_raw::Tensor(grad_out), from_raw::Tensor(input), from_raw::Tensor(mean), from_raw::Tensor(invstd), from_raw::optional::Tensor(weight), from_raw::Tensor(sum_dy), from_raw::Tensor(sum_dy_xmu), from_raw::Tensor(count)));
   LANTERN_FUNCTION_END
 }
 
@@ -25687,11 +26748,11 @@ void* _lantern_sum_out_tensor_tensor_scalartype(void* out, void* self, void* dty
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_std_mean_out_tensor_tensor_tensor_intarrayref_intt_bool(void* out0, void* out1, void* self, void* dim, void* correction, void* keepdim)
+void* _lantern_std_mean_out_tensor_tensor_tensor_intarrayref_scalar_bool(void* out0, void* out1, void* self, void* dim, void* correction, void* keepdim)
 {
   LANTERN_FUNCTION_START
     return make_raw::tuple(torch::std_mean_out(
-        from_raw::Tensor(out0), from_raw::Tensor(out1), from_raw::Tensor(self), from_raw::IntArrayRef(dim), from_raw::optional::int64_t(correction), from_raw::bool_t(keepdim)));
+        from_raw::Tensor(out0), from_raw::Tensor(out1), from_raw::Tensor(self), from_raw::optional::IntArrayRef(dim), from_raw::optional::Scalar(correction), from_raw::bool_t(keepdim)));
   LANTERN_FUNCTION_END
 }
 
@@ -25775,6 +26836,14 @@ void* _lantern__nested_tensor_strides_out_tensor_tensor(void* out, void* self)
   LANTERN_FUNCTION_END
 }
 
+void* _lantern__nested_tensor_storage_offsets_out_tensor_tensor(void* out, void* self)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_nested_tensor_storage_offsets_out(
+        from_raw::Tensor(out), from_raw::Tensor(self)));
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern__nested_from_padded_and_nested_example_out_tensor_tensor_tensor(void* out, void* padded, void* nt_example)
 {
   LANTERN_FUNCTION_START
@@ -25783,11 +26852,27 @@ void* _lantern__nested_from_padded_and_nested_example_out_tensor_tensor_tensor(v
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__nested_view_from_buffer_copy_out_tensor_tensor_tensor_tensor_intarrayref(void* out, void* self, void* nested_size, void* nested_strides, void* offsets)
+void* _lantern__nested_view_from_buffer_copy_out_tensor_tensor_tensor_tensor_tensor(void* out, void* self, void* nested_size, void* nested_strides, void* offsets)
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::_nested_view_from_buffer_copy_out(
-        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::Tensor(nested_size), from_raw::Tensor(nested_strides), from_raw::IntArrayRef(offsets)));
+        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::Tensor(nested_size), from_raw::Tensor(nested_strides), from_raw::Tensor(offsets)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__nested_view_from_jagged_copy_out_tensor_tensor_tensor_tensor_tensor_intt_tensor_tensor(void* out, void* self, void* offsets, void* dummy, void* lengths, void* ragged_idx, void* min_seqlen, void* max_seqlen)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_nested_view_from_jagged_copy_out(
+        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::Tensor(offsets), from_raw::Tensor(dummy), from_raw::optional::Tensor(lengths), from_raw::int64_t(ragged_idx), from_raw::optional::Tensor(min_seqlen), from_raw::optional::Tensor(max_seqlen)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__nested_get_values_copy_out_tensor_tensor(void* out, void* self)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_nested_get_values_copy_out(
+        from_raw::Tensor(out), from_raw::Tensor(self)));
   LANTERN_FUNCTION_END
 }
 
@@ -25847,11 +26932,11 @@ void* _lantern__unsafe_view_out_tensor_tensor_intarrayref(void* out, void* self,
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_var_mean_out_tensor_tensor_tensor_intarrayref_intt_bool(void* out0, void* out1, void* self, void* dim, void* correction, void* keepdim)
+void* _lantern_var_mean_out_tensor_tensor_tensor_intarrayref_scalar_bool(void* out0, void* out1, void* self, void* dim, void* correction, void* keepdim)
 {
   LANTERN_FUNCTION_START
     return make_raw::tuple(torch::var_mean_out(
-        from_raw::Tensor(out0), from_raw::Tensor(out1), from_raw::Tensor(self), from_raw::IntArrayRef(dim), from_raw::optional::int64_t(correction), from_raw::bool_t(keepdim)));
+        from_raw::Tensor(out0), from_raw::Tensor(out1), from_raw::Tensor(self), from_raw::optional::IntArrayRef(dim), from_raw::optional::Scalar(correction), from_raw::bool_t(keepdim)));
   LANTERN_FUNCTION_END
 }
 
@@ -25959,6 +27044,22 @@ void* _lantern_native_norm_out_tensor_tensor_scalar_intarrayref_bool_scalartype(
   LANTERN_FUNCTION_END
 }
 
+void* _lantern__batch_norm_with_update_functional_tensor_tensor_tensor_tensor_tensor_double_double(void* input, void* weight, void* bias, void* running_mean, void* running_var, void* momentum, void* eps)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::tuple(torch::_batch_norm_with_update_functional(
+        from_raw::Tensor(input), from_raw::optional::Tensor(weight), from_raw::optional::Tensor(bias), from_raw::Tensor(running_mean), from_raw::Tensor(running_var), from_raw::double_t(momentum), from_raw::double_t(eps)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__batch_norm_no_update_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_double_double(void* out0, void* out1, void* out2, void* out3, void* input, void* weight, void* bias, void* running_mean, void* running_var, void* momentum, void* eps)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::tuple(torch::_batch_norm_no_update_out(
+        from_raw::Tensor(out0), from_raw::Tensor(out1), from_raw::Tensor(out2), from_raw::Tensor(out3), from_raw::Tensor(input), from_raw::optional::Tensor(weight), from_raw::optional::Tensor(bias), from_raw::optional::Tensor(running_mean), from_raw::optional::Tensor(running_var), from_raw::double_t(momentum), from_raw::double_t(eps)));
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern__sparse_sum_out_tensor_tensor_intarrayref(void* out, void* self, void* dim)
 {
   LANTERN_FUNCTION_START
@@ -26151,11 +27252,11 @@ void* _lantern__sparse_coo_tensor_with_dims_out_tensor_intt_intt_intarrayref(voi
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__sparse_coo_tensor_with_dims_and_tensors_out_tensor_intt_intt_intarrayref_tensor_tensor(void* out, void* sparse_dim, void* dense_dim, void* size, void* indices, void* values)
+void* _lantern__sparse_coo_tensor_with_dims_and_tensors_out_tensor_intt_intt_intarrayref_tensor_tensor_bool(void* out, void* sparse_dim, void* dense_dim, void* size, void* indices, void* values, void* is_coalesced)
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::_sparse_coo_tensor_with_dims_and_tensors_out(
-        from_raw::Tensor(out), from_raw::int64_t(sparse_dim), from_raw::int64_t(dense_dim), from_raw::IntArrayRef(size), from_raw::Tensor(indices), from_raw::Tensor(values)));
+        from_raw::Tensor(out), from_raw::int64_t(sparse_dim), from_raw::int64_t(dense_dim), from_raw::IntArrayRef(size), from_raw::Tensor(indices), from_raw::Tensor(values), from_raw::optional::bool_t(is_coalesced)));
   LANTERN_FUNCTION_END
 }
 
@@ -26199,11 +27300,19 @@ void* _lantern_sparse_mask_out_tensor_tensor_tensor(void* out, void* self, void*
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__to_dense_out_tensor_tensor_scalartype(void* out, void* self, void* dtype)
+void* _lantern__sparse_mask_projection_out_tensor_tensor_tensor_bool(void* out, void* self, void* mask, void* accumulate_matches)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::Tensor(torch::_sparse_mask_projection_out(
+        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::Tensor(mask), from_raw::bool_t(accumulate_matches)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__to_dense_out_tensor_tensor_scalartype_bool(void* out, void* self, void* dtype, void* masked_grad)
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::_to_dense_out(
-        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::optional::ScalarType(dtype)));
+        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::optional::ScalarType(dtype), from_raw::optional::bool_t(masked_grad)));
   LANTERN_FUNCTION_END
 }
 
@@ -26247,50 +27356,50 @@ void* _lantern_copy_sparse_to_sparse_tensor_tensor_bool(void* self, void* src, v
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_to_sparse_out_tensor_tensor_intt(void* out, void* self, void* sparse_dim)
+void* _lantern__to_sparse_out_tensor_tensor_intt(void* out, void* self, void* sparse_dim)
 {
   LANTERN_FUNCTION_START
-    return make_raw::Tensor(torch::to_sparse_out(
+    return make_raw::Tensor(torch::_to_sparse_out(
         from_raw::Tensor(out), from_raw::Tensor(self), from_raw::int64_t(sparse_dim)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_to_sparse_out_tensor_tensor_layout_intarrayref_intt(void* out, void* self, void* layout, void* blocksize, void* dense_dim)
+void* _lantern__to_sparse_out_tensor_tensor_layout_intarrayref_intt(void* out, void* self, void* layout, void* blocksize, void* dense_dim)
 {
   LANTERN_FUNCTION_START
-    return make_raw::Tensor(torch::to_sparse_out(
-        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::optional::Layout(layout), from_raw::IntArrayRef(blocksize), from_raw::optional::int64_t(dense_dim)));
+    return make_raw::Tensor(torch::_to_sparse_out(
+        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::optional::Layout(layout), from_raw::optional::IntArrayRef(blocksize), from_raw::optional::int64_t(dense_dim)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_to_sparse_csr_out_tensor_tensor_intt(void* out, void* self, void* dense_dim)
+void* _lantern__to_sparse_csr_out_tensor_tensor_intt(void* out, void* self, void* dense_dim)
 {
   LANTERN_FUNCTION_START
-    return make_raw::Tensor(torch::to_sparse_csr_out(
+    return make_raw::Tensor(torch::_to_sparse_csr_out(
         from_raw::Tensor(out), from_raw::Tensor(self), from_raw::optional::int64_t(dense_dim)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_to_sparse_csc_out_tensor_tensor_intt(void* out, void* self, void* dense_dim)
+void* _lantern__to_sparse_csc_out_tensor_tensor_intt(void* out, void* self, void* dense_dim)
 {
   LANTERN_FUNCTION_START
-    return make_raw::Tensor(torch::to_sparse_csc_out(
+    return make_raw::Tensor(torch::_to_sparse_csc_out(
         from_raw::Tensor(out), from_raw::Tensor(self), from_raw::optional::int64_t(dense_dim)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_to_sparse_bsr_out_tensor_tensor_intarrayref_intt(void* out, void* self, void* blocksize, void* dense_dim)
+void* _lantern__to_sparse_bsr_out_tensor_tensor_intarrayref_intt(void* out, void* self, void* blocksize, void* dense_dim)
 {
   LANTERN_FUNCTION_START
-    return make_raw::Tensor(torch::to_sparse_bsr_out(
+    return make_raw::Tensor(torch::_to_sparse_bsr_out(
         from_raw::Tensor(out), from_raw::Tensor(self), from_raw::IntArrayRef(blocksize), from_raw::optional::int64_t(dense_dim)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_to_sparse_bsc_out_tensor_tensor_intarrayref_intt(void* out, void* self, void* blocksize, void* dense_dim)
+void* _lantern__to_sparse_bsc_out_tensor_tensor_intarrayref_intt(void* out, void* self, void* blocksize, void* dense_dim)
 {
   LANTERN_FUNCTION_START
-    return make_raw::Tensor(torch::to_sparse_bsc_out(
+    return make_raw::Tensor(torch::_to_sparse_bsc_out(
         from_raw::Tensor(out), from_raw::Tensor(self), from_raw::IntArrayRef(blocksize), from_raw::optional::int64_t(dense_dim)));
   LANTERN_FUNCTION_END
 }
@@ -26307,15 +27416,15 @@ void* _lantern_mkldnn_reorder_conv2d_weight_out_tensor_tensor_intarrayref_intarr
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::mkldnn_reorder_conv2d_weight_out(
-        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::IntArrayRef(padding), from_raw::IntArrayRef(stride), from_raw::IntArrayRef(dilation), from_raw::int64_t(groups), from_raw::IntArrayRef(input_size)));
+        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::IntArrayRef(padding), from_raw::IntArrayRef(stride), from_raw::IntArrayRef(dilation), from_raw::int64_t(groups), from_raw::optional::IntArrayRef(input_size)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_mkldnn_reorder_conv3d_weight_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intt(void* out, void* self, void* padding, void* stride, void* dilation, void* groups)
+void* _lantern_mkldnn_reorder_conv3d_weight_out_tensor_tensor_intarrayref_intarrayref_intarrayref_intt_intarrayref(void* out, void* self, void* padding, void* stride, void* dilation, void* groups, void* input_size)
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::mkldnn_reorder_conv3d_weight_out(
-        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::IntArrayRef(padding), from_raw::IntArrayRef(stride), from_raw::IntArrayRef(dilation), from_raw::int64_t(groups)));
+        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::IntArrayRef(padding), from_raw::IntArrayRef(stride), from_raw::IntArrayRef(dilation), from_raw::int64_t(groups), from_raw::optional::IntArrayRef(input_size)));
   LANTERN_FUNCTION_END
 }
 
@@ -26490,7 +27599,7 @@ void* _lantern__lstm_mps_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_te
 void* _lantern_lstm_mps_backward_out_tensor_tensorlist_tensorlist_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensorlist_tensorlist_bool_intt_double_bool_bool_bool(void* out0, void* out1, void* out2, void* grad_y, void* grad_hy, void* grad_cy, void* z_state, void* cell_state_fwd, void* input, void* layersOutputs, void* hx, void* params, void* has_biases, void* num_layers, void* dropout, void* train, void* bidirectional, void* batch_first)
 {
   LANTERN_FUNCTION_START
-    torch::lstm_mps_backward_out(from_raw::Tensor(out0), from_raw::TensorList(out1), from_raw::TensorList(out2), from_raw::Tensor(grad_y), from_raw::optional::Tensor(grad_hy), from_raw::optional::Tensor(grad_cy), from_raw::Tensor(z_state), from_raw::Tensor(cell_state_fwd), from_raw::Tensor(input), from_raw::Tensor(layersOutputs), from_raw::TensorList(hx), from_raw::TensorList(params), from_raw::bool_t(has_biases), from_raw::int64_t(num_layers), from_raw::double_t(dropout), from_raw::bool_t(train), from_raw::bool_t(bidirectional), from_raw::bool_t(batch_first));
+    torch::lstm_mps_backward_out(from_raw::Tensor(out0), from_raw::TensorList(out1), from_raw::TensorList(out2), from_raw::optional::Tensor(grad_y), from_raw::optional::Tensor(grad_hy), from_raw::optional::Tensor(grad_cy), from_raw::Tensor(z_state), from_raw::Tensor(cell_state_fwd), from_raw::Tensor(input), from_raw::Tensor(layersOutputs), from_raw::TensorList(hx), from_raw::TensorList(params), from_raw::bool_t(has_biases), from_raw::int64_t(num_layers), from_raw::double_t(dropout), from_raw::bool_t(train), from_raw::bool_t(bidirectional), from_raw::bool_t(batch_first));
     return NULL;
   LANTERN_FUNCTION_END
 }
@@ -26951,14 +28060,6 @@ void* _lantern_remainder_out_tensor_scalar_tensor(void* out, void* self, void* o
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_argsort_out_tensor_tensor_bool_intt_bool(void* out, void* self, void* stable, void* dim, void* descending)
-{
-  LANTERN_FUNCTION_START
-    return make_raw::Tensor(torch::argsort_out(
-        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::bool_t(stable), from_raw::int64_t(dim), from_raw::bool_t(descending)));
-  LANTERN_FUNCTION_END
-}
-
 void* _lantern_unfold_backward_out_tensor_tensor_intarrayref_intt_intt_intt(void* out, void* grad_in, void* input_sizes, void* dim, void* size, void* step)
 {
   LANTERN_FUNCTION_START
@@ -27015,6 +28116,30 @@ void* _lantern__foreach_add_out_tensorlist_tensorlist_scalar(void* out, void* se
   LANTERN_FUNCTION_END
 }
 
+void* _lantern__foreach_add_out_tensorlist_tensorlist_tensorlist_scalar(void* out, void* self, void* other, void* alpha)
+{
+  LANTERN_FUNCTION_START
+    torch::_foreach_add_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::TensorList(other), from_raw::Scalar(alpha));
+    return NULL;
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__foreach_add_out_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* scalars)
+{
+  LANTERN_FUNCTION_START
+    torch::_foreach_add_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::vector::Scalar(scalars));
+    return NULL;
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__foreach_add_out_tensorlist_tensorlist_tensor_scalar(void* out, void* self, void* other, void* alpha)
+{
+  LANTERN_FUNCTION_START
+    torch::_foreach_add_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::Tensor(other), from_raw::Scalar(alpha));
+    return NULL;
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern__foreach_sub_out_tensorlist_tensorlist_scalar(void* out, void* self, void* scalar)
 {
   LANTERN_FUNCTION_START
@@ -27023,6 +28148,22 @@ void* _lantern__foreach_sub_out_tensorlist_tensorlist_scalar(void* out, void* se
   LANTERN_FUNCTION_END
 }
 
+void* _lantern__foreach_sub_out_tensorlist_tensorlist_tensorlist_scalar(void* out, void* self, void* other, void* alpha)
+{
+  LANTERN_FUNCTION_START
+    torch::_foreach_sub_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::TensorList(other), from_raw::Scalar(alpha));
+    return NULL;
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__foreach_sub_out_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* scalars)
+{
+  LANTERN_FUNCTION_START
+    torch::_foreach_sub_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::vector::Scalar(scalars));
+    return NULL;
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern__foreach_mul_out_tensorlist_tensorlist_scalar(void* out, void* self, void* scalar)
 {
   LANTERN_FUNCTION_START
@@ -27031,202 +28172,202 @@ void* _lantern__foreach_mul_out_tensorlist_tensorlist_scalar(void* out, void* se
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_div_out_tensorlist_tensorlist_scalar(void* out, void* self, void* scalar)
+void* _lantern__foreach_mul_out_tensorlist_tensorlist_tensorlist(void* out, void* self, void* other)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_div_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::Scalar(scalar));
+    torch::_foreach_mul_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::TensorList(other));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_clamp_min_out_tensorlist_tensorlist_scalar(void* out, void* self, void* scalar)
+void* _lantern__foreach_mul_out_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* scalars)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_clamp_min_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::Scalar(scalar));
+    torch::_foreach_mul_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::vector::Scalar(scalars));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_clamp_max_out_tensorlist_tensorlist_scalar(void* out, void* self, void* scalar)
+void* _lantern__foreach_mul_out_tensorlist_tensorlist_tensor(void* out, void* self, void* other)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_clamp_max_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::Scalar(scalar));
+    torch::_foreach_mul_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::Tensor(other));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_maximum_out_tensorlist_tensorlist_scalar(void* out, void* self, void* scalar)
+void* _lantern__foreach_div_out_tensorlist_tensorlist_scalar(void* out, void* self, void* scalar)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_maximum_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::Scalar(scalar));
+    torch::_foreach_div_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::Scalar(scalar));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_minimum_out_tensorlist_tensorlist_scalar(void* out, void* self, void* scalar)
+void* _lantern__foreach_div_out_tensorlist_tensorlist_tensorlist(void* out, void* self, void* other)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_minimum_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::Scalar(scalar));
+    torch::_foreach_div_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::TensorList(other));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_add_out_tensorlist_tensorlist_tensorlist_scalar(void* out, void* self, void* other, void* alpha)
+void* _lantern__foreach_div_out_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* scalars)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_add_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::TensorList(other), from_raw::Scalar(alpha));
+    torch::_foreach_div_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::vector::Scalar(scalars));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_sub_out_tensorlist_tensorlist_tensorlist_scalar(void* out, void* self, void* other, void* alpha)
+void* _lantern__foreach_div_out_tensorlist_tensorlist_tensor(void* out, void* self, void* other)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_sub_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::TensorList(other), from_raw::Scalar(alpha));
+    torch::_foreach_div_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::Tensor(other));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_mul_out_tensorlist_tensorlist_tensorlist(void* out, void* self, void* other)
+void* _lantern__foreach_clamp_max_out_tensorlist_tensorlist_scalar(void* out, void* self, void* scalar)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_mul_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::TensorList(other));
+    torch::_foreach_clamp_max_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::Scalar(scalar));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_div_out_tensorlist_tensorlist_tensorlist(void* out, void* self, void* other)
+void* _lantern__foreach_clamp_max_out_tensorlist_tensorlist_tensorlist(void* out, void* self, void* other)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_div_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::TensorList(other));
+    torch::_foreach_clamp_max_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::TensorList(other));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_clamp_min_out_tensorlist_tensorlist_tensorlist(void* out, void* self, void* other)
+void* _lantern__foreach_clamp_max_out_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* scalars)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_clamp_min_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::TensorList(other));
+    torch::_foreach_clamp_max_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::vector::Scalar(scalars));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_clamp_max_out_tensorlist_tensorlist_tensorlist(void* out, void* self, void* other)
+void* _lantern__foreach_clamp_min_out_tensorlist_tensorlist_scalar(void* out, void* self, void* scalar)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_clamp_max_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::TensorList(other));
+    torch::_foreach_clamp_min_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::Scalar(scalar));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_maximum_out_tensorlist_tensorlist_tensorlist(void* out, void* self, void* other)
+void* _lantern__foreach_clamp_min_out_tensorlist_tensorlist_tensorlist(void* out, void* self, void* other)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_maximum_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::TensorList(other));
+    torch::_foreach_clamp_min_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::TensorList(other));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_minimum_out_tensorlist_tensorlist_tensorlist(void* out, void* self, void* other)
+void* _lantern__foreach_clamp_min_out_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* scalars)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_minimum_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::TensorList(other));
+    torch::_foreach_clamp_min_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::vector::Scalar(scalars));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_add_out_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* scalars)
+void* _lantern__foreach_maximum_out_tensorlist_tensorlist_scalar(void* out, void* self, void* scalar)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_add_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::vector::Scalar(scalars));
+    torch::_foreach_maximum_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::Scalar(scalar));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_sub_out_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* scalars)
+void* _lantern__foreach_maximum_out_tensorlist_tensorlist_tensorlist(void* out, void* self, void* other)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_sub_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::vector::Scalar(scalars));
+    torch::_foreach_maximum_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::TensorList(other));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_div_out_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* scalars)
+void* _lantern__foreach_maximum_out_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* scalars)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_div_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::vector::Scalar(scalars));
+    torch::_foreach_maximum_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::vector::Scalar(scalars));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_mul_out_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* scalars)
+void* _lantern__foreach_minimum_out_tensorlist_tensorlist_scalar(void* out, void* self, void* scalar)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_mul_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::vector::Scalar(scalars));
+    torch::_foreach_minimum_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::Scalar(scalar));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_clamp_min_out_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* scalars)
+void* _lantern__foreach_minimum_out_tensorlist_tensorlist_tensorlist(void* out, void* self, void* other)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_clamp_min_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::vector::Scalar(scalars));
+    torch::_foreach_minimum_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::TensorList(other));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_clamp_max_out_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* scalars)
+void* _lantern__foreach_minimum_out_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* scalars)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_clamp_max_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::vector::Scalar(scalars));
+    torch::_foreach_minimum_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::vector::Scalar(scalars));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_maximum_out_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* scalars)
+void* _lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_scalar(void* out, void* self, void* tensor1, void* tensor2, void* value)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_maximum_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::vector::Scalar(scalars));
+    torch::_foreach_addcdiv_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::TensorList(tensor1), from_raw::TensorList(tensor2), from_raw::Scalar(value));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_minimum_out_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* scalars)
+void* _lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* tensor1, void* tensor2, void* scalars)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_minimum_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::vector::Scalar(scalars));
+    torch::_foreach_addcdiv_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::TensorList(tensor1), from_raw::TensorList(tensor2), from_raw::vector::Scalar(scalars));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_exp_out_tensorlist_tensorlist(void* out, void* self)
+void* _lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_tensor(void* out, void* self, void* tensor1, void* tensor2, void* scalars)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_exp_out(from_raw::TensorList(out), from_raw::TensorList(self));
+    torch::_foreach_addcdiv_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::TensorList(tensor1), from_raw::TensorList(tensor2), from_raw::Tensor(scalars));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_zero_out_tensorlist_tensorlist(void* out, void* self)
+void* _lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_scalar(void* out, void* self, void* tensor1, void* tensor2, void* value)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_zero_out(from_raw::TensorList(out), from_raw::TensorList(self));
+    torch::_foreach_addcmul_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::TensorList(tensor1), from_raw::TensorList(tensor2), from_raw::Scalar(value));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_zero_tensorlist(void* self)
+void* _lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* tensor1, void* tensor2, void* scalars)
 {
   LANTERN_FUNCTION_START
-    return make_raw::TensorList(torch::_foreach_zero(
-        from_raw::TensorList(self)));
+    torch::_foreach_addcmul_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::TensorList(tensor1), from_raw::TensorList(tensor2), from_raw::vector::Scalar(scalars));
+    return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_sqrt_out_tensorlist_tensorlist(void* out, void* self)
+void* _lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_tensor(void* out, void* self, void* tensor1, void* tensor2, void* scalars)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_sqrt_out(from_raw::TensorList(out), from_raw::TensorList(self));
+    torch::_foreach_addcmul_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::TensorList(tensor1), from_raw::TensorList(tensor2), from_raw::Tensor(scalars));
     return NULL;
   LANTERN_FUNCTION_END
 }
@@ -27303,6 +28444,14 @@ void* _lantern__foreach_erfc_out_tensorlist_tensorlist(void* out, void* self)
   LANTERN_FUNCTION_END
 }
 
+void* _lantern__foreach_exp_out_tensorlist_tensorlist(void* out, void* self)
+{
+  LANTERN_FUNCTION_START
+    torch::_foreach_exp_out(from_raw::TensorList(out), from_raw::TensorList(self));
+    return NULL;
+  LANTERN_FUNCTION_END
+}
+
 void* _lantern__foreach_expm1_out_tensorlist_tensorlist(void* out, void* self)
 {
   LANTERN_FUNCTION_START
@@ -27319,98 +28468,114 @@ void* _lantern__foreach_floor_out_tensorlist_tensorlist(void* out, void* self)
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_log_out_tensorlist_tensorlist(void* out, void* self)
+void* _lantern__foreach_frac_out_tensorlist_tensorlist(void* out, void* self)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_log_out(from_raw::TensorList(out), from_raw::TensorList(self));
+    torch::_foreach_frac_out(from_raw::TensorList(out), from_raw::TensorList(self));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_log10_out_tensorlist_tensorlist(void* out, void* self)
+void* _lantern__foreach_lerp_out_tensorlist_tensorlist_tensorlist_tensorlist(void* out, void* self, void* tensors1, void* weights)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_log10_out(from_raw::TensorList(out), from_raw::TensorList(self));
+    torch::_foreach_lerp_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::TensorList(tensors1), from_raw::TensorList(weights));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_log1p_out_tensorlist_tensorlist(void* out, void* self)
+void* _lantern__foreach_lerp_out_tensorlist_tensorlist_tensorlist_scalar(void* out, void* self, void* tensors1, void* weight)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_log1p_out(from_raw::TensorList(out), from_raw::TensorList(self));
+    torch::_foreach_lerp_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::TensorList(tensors1), from_raw::Scalar(weight));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_log2_out_tensorlist_tensorlist(void* out, void* self)
+void* _lantern__foreach_lgamma_out_tensorlist_tensorlist(void* out, void* self)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_log2_out(from_raw::TensorList(out), from_raw::TensorList(self));
+    torch::_foreach_lgamma_out(from_raw::TensorList(out), from_raw::TensorList(self));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_neg_out_tensorlist_tensorlist(void* out, void* self)
+void* _lantern__foreach_log_out_tensorlist_tensorlist(void* out, void* self)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_neg_out(from_raw::TensorList(out), from_raw::TensorList(self));
+    torch::_foreach_log_out(from_raw::TensorList(out), from_raw::TensorList(self));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_tan_out_tensorlist_tensorlist(void* out, void* self)
+void* _lantern__foreach_log10_out_tensorlist_tensorlist(void* out, void* self)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_tan_out(from_raw::TensorList(out), from_raw::TensorList(self));
+    torch::_foreach_log10_out(from_raw::TensorList(out), from_raw::TensorList(self));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_tanh_out_tensorlist_tensorlist(void* out, void* self)
+void* _lantern__foreach_log1p_out_tensorlist_tensorlist(void* out, void* self)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_tanh_out(from_raw::TensorList(out), from_raw::TensorList(self));
+    torch::_foreach_log1p_out(from_raw::TensorList(out), from_raw::TensorList(self));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_sin_out_tensorlist_tensorlist(void* out, void* self)
+void* _lantern__foreach_log2_out_tensorlist_tensorlist(void* out, void* self)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_sin_out(from_raw::TensorList(out), from_raw::TensorList(self));
+    torch::_foreach_log2_out(from_raw::TensorList(out), from_raw::TensorList(self));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_sinh_out_tensorlist_tensorlist(void* out, void* self)
+void* _lantern__foreach_max_out_tensorlist_tensorlist(void* out, void* self)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_sinh_out(from_raw::TensorList(out), from_raw::TensorList(self));
+    torch::_foreach_max_out(from_raw::TensorList(out), from_raw::TensorList(self));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_round_out_tensorlist_tensorlist(void* out, void* self)
+void* _lantern__foreach_neg_out_tensorlist_tensorlist(void* out, void* self)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_round_out(from_raw::TensorList(out), from_raw::TensorList(self));
+    torch::_foreach_neg_out(from_raw::TensorList(out), from_raw::TensorList(self));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_lgamma_out_tensorlist_tensorlist(void* out, void* self)
+void* _lantern__foreach_norm_out_tensorlist_tensorlist_scalar_scalartype(void* out, void* self, void* ord, void* dtype)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_lgamma_out(from_raw::TensorList(out), from_raw::TensorList(self));
+    torch::_foreach_norm_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::Scalar(ord), from_raw::optional::ScalarType(dtype));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_frac_out_tensorlist_tensorlist(void* out, void* self)
+void* _lantern__foreach_pow_out_tensorlist_tensorlist_tensorlist(void* out, void* self, void* exponent)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_frac_out(from_raw::TensorList(out), from_raw::TensorList(self));
+    torch::_foreach_pow_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::TensorList(exponent));
+    return NULL;
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__foreach_pow_out_tensorlist_tensorlist_scalar(void* out, void* self, void* exponent)
+{
+  LANTERN_FUNCTION_START
+    torch::_foreach_pow_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::Scalar(exponent));
+    return NULL;
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__foreach_pow_out_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* exponent)
+{
+  LANTERN_FUNCTION_START
+    torch::_foreach_pow_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::vector::Scalar(exponent));
     return NULL;
   LANTERN_FUNCTION_END
 }
@@ -27423,107 +28588,107 @@ void* _lantern__foreach_reciprocal_out_tensorlist_tensorlist(void* out, void* se
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_sigmoid_out_tensorlist_tensorlist(void* out, void* self)
+void* _lantern__foreach_round_out_tensorlist_tensorlist(void* out, void* self)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_sigmoid_out(from_raw::TensorList(out), from_raw::TensorList(self));
+    torch::_foreach_round_out(from_raw::TensorList(out), from_raw::TensorList(self));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_trunc_out_tensorlist_tensorlist(void* out, void* self)
+void* _lantern__foreach_sigmoid_out_tensorlist_tensorlist(void* out, void* self)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_trunc_out(from_raw::TensorList(out), from_raw::TensorList(self));
+    torch::_foreach_sigmoid_out(from_raw::TensorList(out), from_raw::TensorList(self));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_scalar(void* out, void* self, void* tensor1, void* tensor2, void* value)
+void* _lantern__foreach_sign_out_tensorlist_tensorlist(void* out, void* self)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_addcdiv_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::TensorList(tensor1), from_raw::TensorList(tensor2), from_raw::Scalar(value));
+    torch::_foreach_sign_out(from_raw::TensorList(out), from_raw::TensorList(self));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_scalar(void* out, void* self, void* tensor1, void* tensor2, void* value)
+void* _lantern__foreach_sin_out_tensorlist_tensorlist(void* out, void* self)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_addcmul_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::TensorList(tensor1), from_raw::TensorList(tensor2), from_raw::Scalar(value));
+    torch::_foreach_sin_out(from_raw::TensorList(out), from_raw::TensorList(self));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* tensor1, void* tensor2, void* scalars)
+void* _lantern__foreach_sinh_out_tensorlist_tensorlist(void* out, void* self)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_addcdiv_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::TensorList(tensor1), from_raw::TensorList(tensor2), from_raw::vector::Scalar(scalars));
+    torch::_foreach_sinh_out(from_raw::TensorList(out), from_raw::TensorList(self));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_addcdiv_out_tensorlist_tensorlist_tensorlist_tensorlist_tensor(void* out, void* self, void* tensor1, void* tensor2, void* scalars)
+void* _lantern__foreach_sqrt_out_tensorlist_tensorlist(void* out, void* self)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_addcdiv_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::TensorList(tensor1), from_raw::TensorList(tensor2), from_raw::Tensor(scalars));
+    torch::_foreach_sqrt_out(from_raw::TensorList(out), from_raw::TensorList(self));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_arrayrefscalar(void* out, void* self, void* tensor1, void* tensor2, void* scalars)
+void* _lantern__foreach_tan_out_tensorlist_tensorlist(void* out, void* self)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_addcmul_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::TensorList(tensor1), from_raw::TensorList(tensor2), from_raw::vector::Scalar(scalars));
+    torch::_foreach_tan_out(from_raw::TensorList(out), from_raw::TensorList(self));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_addcmul_out_tensorlist_tensorlist_tensorlist_tensorlist_tensor(void* out, void* self, void* tensor1, void* tensor2, void* scalars)
+void* _lantern__foreach_tanh_out_tensorlist_tensorlist(void* out, void* self)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_addcmul_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::TensorList(tensor1), from_raw::TensorList(tensor2), from_raw::Tensor(scalars));
+    torch::_foreach_tanh_out(from_raw::TensorList(out), from_raw::TensorList(self));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_norm_out_tensorlist_tensorlist_scalar(void* out, void* self, void* ord)
+void* _lantern__foreach_trunc_out_tensorlist_tensorlist(void* out, void* self)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_norm_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::Scalar(ord));
+    torch::_foreach_trunc_out(from_raw::TensorList(out), from_raw::TensorList(self));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_lerp_out_tensorlist_tensorlist_tensorlist_tensorlist(void* out, void* self, void* tensors1, void* weights)
+void* _lantern__foreach_zero_out_tensorlist_tensorlist(void* out, void* self)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_lerp_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::TensorList(tensors1), from_raw::TensorList(weights));
+    torch::_foreach_zero_out(from_raw::TensorList(out), from_raw::TensorList(self));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foreach_lerp_out_tensorlist_tensorlist_tensorlist_scalar(void* out, void* self, void* tensors1, void* weight)
+void* _lantern__foreach_zero_tensorlist(void* self)
 {
   LANTERN_FUNCTION_START
-    torch::_foreach_lerp_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::TensorList(tensors1), from_raw::Scalar(weight));
-    return NULL;
+    return make_raw::TensorList(torch::_foreach_zero(
+        from_raw::TensorList(self)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_bucketize_out_tensor_scalar_tensor_bool_bool(void* out, void* self, void* boundaries, void* out_int32, void* right)
+void* _lantern__foreach_copy_out_tensorlist_tensorlist_tensorlist_bool(void* out, void* self, void* src, void* non_blocking)
 {
   LANTERN_FUNCTION_START
-    return make_raw::Tensor(torch::bucketize_out(
-        from_raw::Tensor(out), from_raw::Scalar(self), from_raw::Tensor(boundaries), from_raw::bool_t(out_int32), from_raw::bool_t(right)));
+    torch::_foreach_copy_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::TensorList(src), from_raw::bool_t(non_blocking));
+    return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern_searchsorted_out_tensor_tensor_scalar_bool_bool_cstringview_tensor(void* out, void* sorted_sequence, void* self, void* out_int32, void* right, void* side, void* sorter)
+void* _lantern_bucketize_out_tensor_scalar_tensor_bool_bool(void* out, void* self, void* boundaries, void* out_int32, void* right)
 {
   LANTERN_FUNCTION_START
-    return make_raw::Tensor(torch::searchsorted_out(
-        from_raw::Tensor(out), from_raw::Tensor(sorted_sequence), from_raw::Scalar(self), from_raw::bool_t(out_int32), from_raw::bool_t(right), from_raw::optional::string_view(side), from_raw::optional::Tensor(sorter)));
+    return make_raw::Tensor(torch::bucketize_out(
+        from_raw::Tensor(out), from_raw::Scalar(self), from_raw::Tensor(boundaries), from_raw::bool_t(out_int32), from_raw::bool_t(right)));
   LANTERN_FUNCTION_END
 }
 
@@ -27651,7 +28816,7 @@ void* _lantern__test_optional_intlist_out_tensor_tensor_intarrayref(void* out, v
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::_test_optional_intlist_out(
-        from_raw::Tensor(out), from_raw::Tensor(values), from_raw::IntArrayRef(addends)));
+        from_raw::Tensor(out), from_raw::Tensor(values), from_raw::optional::IntArrayRef(addends)));
   LANTERN_FUNCTION_END
 }
 
@@ -27659,7 +28824,7 @@ void* _lantern__test_optional_filled_intlist_out_tensor_tensor_intarrayref(void*
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::_test_optional_filled_intlist_out(
-        from_raw::Tensor(out), from_raw::Tensor(values), from_raw::IntArrayRef(addends)));
+        from_raw::Tensor(out), from_raw::Tensor(values), from_raw::optional::IntArrayRef(addends)));
   LANTERN_FUNCTION_END
 }
 
@@ -27987,7 +29152,7 @@ void* _lantern_to_padded_tensor_out_tensor_tensor_double_intarrayref(void* out,
 {
   LANTERN_FUNCTION_START
     return make_raw::Tensor(torch::to_padded_tensor_out(
-        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::double_t(padding), from_raw::IntArrayRef(output_size)));
+        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::double_t(padding), from_raw::optional::IntArrayRef(output_size)));
   LANTERN_FUNCTION_END
 }
 
@@ -28023,43 +29188,43 @@ void* _lantern__triton_multi_head_attention_out_tensor_tensor_tensor_tensor_intt
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__transformer_decoder_only_layer_fwd_out_tensor_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_bool_bool_double_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor_tensor(void* out0, void* out1, void* out2, void* src, void* embed_dim, void* num_heads, void* qkv_weight, void* qkv_bias, void* proj_weight, void* proj_bias, void* use_gelu, void* norm_first, void* eps, void* norm_weight_1, void* norm_bias_1, void* norm_weight_2, void* norm_bias_2, void* ffn_weight_1, void* ffn_bias_1, void* ffn_weight_2, void* ffn_bias_2, void* mask, void* incr_key, void* incr_value)
+void* _lantern__foobar_out_tensor_tensor_bool_bool_bool(void* out, void* self, void* arg1, void* arg2, void* arg3)
 {
   LANTERN_FUNCTION_START
-    return make_raw::tuple(torch::_transformer_decoder_only_layer_fwd_out(
-        from_raw::Tensor(out0), from_raw::Tensor(out1), from_raw::Tensor(out2), from_raw::Tensor(src), from_raw::int64_t(embed_dim), from_raw::int64_t(num_heads), from_raw::Tensor(qkv_weight), from_raw::Tensor(qkv_bias), from_raw::Tensor(proj_weight), from_raw::Tensor(proj_bias), from_raw::bool_t(use_gelu), from_raw::bool_t(norm_first), from_raw::double_t(eps), from_raw::Tensor(norm_weight_1), from_raw::Tensor(norm_bias_1), from_raw::Tensor(norm_weight_2), from_raw::Tensor(norm_bias_2), from_raw::Tensor(ffn_weight_1), from_raw::Tensor(ffn_bias_1), from_raw::Tensor(ffn_weight_2), from_raw::Tensor(ffn_bias_2), from_raw::optional::Tensor(mask), from_raw::optional::Tensor(incr_key), from_raw::optional::Tensor(incr_value)));
+    return make_raw::Tensor(torch::_foobar_out(
+        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::bool_t(arg1), from_raw::bool_t(arg2), from_raw::bool_t(arg3)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__native_decoder_only_multi_head_attention_out_tensor_tensor_tensor_tensor_tensor_tensor_tensor_intt_intt_tensor_tensor_tensor_tensor_tensor_tensor_tensor_bool_bool(void* out0, void* out1, void* out2, void* out3, void* query, void* key, void* value, void* embed_dim, void* num_head, void* qkv_weight, void* qkv_bias, void* proj_weight, void* proj_bias, void* mask, void* incr_key, void* incr_value, void* need_weights, void* average_attn_weights)
+void* _lantern__fused_adam_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor(void* out, void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf)
 {
   LANTERN_FUNCTION_START
-    return make_raw::tuple(torch::_native_decoder_only_multi_head_attention_out(
-        from_raw::Tensor(out0), from_raw::Tensor(out1), from_raw::Tensor(out2), from_raw::Tensor(out3), from_raw::Tensor(query), from_raw::Tensor(key), from_raw::Tensor(value), from_raw::int64_t(embed_dim), from_raw::int64_t(num_head), from_raw::Tensor(qkv_weight), from_raw::Tensor(qkv_bias), from_raw::Tensor(proj_weight), from_raw::Tensor(proj_bias), from_raw::optional::Tensor(mask), from_raw::optional::Tensor(incr_key), from_raw::optional::Tensor(incr_value), from_raw::bool_t(need_weights), from_raw::bool_t(average_attn_weights)));
+    torch::_fused_adam_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::TensorList(grads), from_raw::TensorList(exp_avgs), from_raw::TensorList(exp_avg_sqs), from_raw::TensorList(max_exp_avg_sqs), from_raw::TensorList(state_steps), from_raw::double_t(lr), from_raw::double_t(beta1), from_raw::double_t(beta2), from_raw::double_t(weight_decay), from_raw::double_t(eps), from_raw::bool_t(amsgrad), from_raw::bool_t(maximize), from_raw::optional::Tensor(grad_scale), from_raw::optional::Tensor(found_inf));
+    return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__foobar_out_tensor_tensor_bool_bool_bool(void* out, void* self, void* arg1, void* arg2, void* arg3)
+void* _lantern__fused_adam_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor(void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf)
 {
   LANTERN_FUNCTION_START
-    return make_raw::Tensor(torch::_foobar_out(
-        from_raw::Tensor(out), from_raw::Tensor(self), from_raw::bool_t(arg1), from_raw::bool_t(arg2), from_raw::bool_t(arg3)));
+    return make_raw::tuple(torch::_fused_adam(
+        from_raw::TensorList(self), from_raw::TensorList(grads), from_raw::TensorList(exp_avgs), from_raw::TensorList(exp_avg_sqs), from_raw::TensorList(max_exp_avg_sqs), from_raw::TensorList(state_steps), from_raw::double_t(lr), from_raw::double_t(beta1), from_raw::double_t(beta2), from_raw::double_t(weight_decay), from_raw::double_t(eps), from_raw::bool_t(amsgrad), from_raw::bool_t(maximize), from_raw::optional::Tensor(grad_scale), from_raw::optional::Tensor(found_inf)));
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__fused_adam_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor(void* out, void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf)
+void* _lantern__fused_adam_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor(void* out, void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf)
 {
   LANTERN_FUNCTION_START
-    torch::_fused_adam_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::TensorList(grads), from_raw::TensorList(exp_avgs), from_raw::TensorList(exp_avg_sqs), from_raw::TensorList(max_exp_avg_sqs), from_raw::TensorList(state_steps), from_raw::double_t(lr), from_raw::double_t(beta1), from_raw::double_t(beta2), from_raw::double_t(weight_decay), from_raw::double_t(eps), from_raw::bool_t(amsgrad), from_raw::bool_t(maximize), from_raw::optional::Tensor(grad_scale), from_raw::optional::Tensor(found_inf));
+    torch::_fused_adam_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::TensorList(grads), from_raw::TensorList(exp_avgs), from_raw::TensorList(exp_avg_sqs), from_raw::TensorList(max_exp_avg_sqs), from_raw::TensorList(state_steps), from_raw::Tensor(lr), from_raw::double_t(beta1), from_raw::double_t(beta2), from_raw::double_t(weight_decay), from_raw::double_t(eps), from_raw::bool_t(amsgrad), from_raw::bool_t(maximize), from_raw::optional::Tensor(grad_scale), from_raw::optional::Tensor(found_inf));
     return NULL;
   LANTERN_FUNCTION_END
 }
 
-void* _lantern__fused_adam_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_double_bool_bool_tensor_tensor(void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf)
+void* _lantern__fused_adam_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor(void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf)
 {
   LANTERN_FUNCTION_START
     return make_raw::tuple(torch::_fused_adam(
-        from_raw::TensorList(self), from_raw::TensorList(grads), from_raw::TensorList(exp_avgs), from_raw::TensorList(exp_avg_sqs), from_raw::TensorList(max_exp_avg_sqs), from_raw::TensorList(state_steps), from_raw::double_t(lr), from_raw::double_t(beta1), from_raw::double_t(beta2), from_raw::double_t(weight_decay), from_raw::double_t(eps), from_raw::bool_t(amsgrad), from_raw::bool_t(maximize), from_raw::optional::Tensor(grad_scale), from_raw::optional::Tensor(found_inf)));
+        from_raw::TensorList(self), from_raw::TensorList(grads), from_raw::TensorList(exp_avgs), from_raw::TensorList(exp_avg_sqs), from_raw::TensorList(max_exp_avg_sqs), from_raw::TensorList(state_steps), from_raw::Tensor(lr), from_raw::double_t(beta1), from_raw::double_t(beta2), from_raw::double_t(weight_decay), from_raw::double_t(eps), from_raw::bool_t(amsgrad), from_raw::bool_t(maximize), from_raw::optional::Tensor(grad_scale), from_raw::optional::Tensor(found_inf)));
   LANTERN_FUNCTION_END
 }
 
@@ -28079,4 +29244,68 @@ void* _lantern__fused_adamw_tensorlist_tensorlist_tensorlist_tensorlist_tensorli
   LANTERN_FUNCTION_END
 }
 
+void* _lantern__fused_adamw_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor(void* out, void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf)
+{
+  LANTERN_FUNCTION_START
+    torch::_fused_adamw_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::TensorList(grads), from_raw::TensorList(exp_avgs), from_raw::TensorList(exp_avg_sqs), from_raw::TensorList(max_exp_avg_sqs), from_raw::TensorList(state_steps), from_raw::Tensor(lr), from_raw::double_t(beta1), from_raw::double_t(beta2), from_raw::double_t(weight_decay), from_raw::double_t(eps), from_raw::bool_t(amsgrad), from_raw::bool_t(maximize), from_raw::optional::Tensor(grad_scale), from_raw::optional::Tensor(found_inf));
+    return NULL;
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__fused_adamw_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_tensor_double_double_double_double_bool_bool_tensor_tensor(void* self, void* grads, void* exp_avgs, void* exp_avg_sqs, void* max_exp_avg_sqs, void* state_steps, void* lr, void* beta1, void* beta2, void* weight_decay, void* eps, void* amsgrad, void* maximize, void* grad_scale, void* found_inf)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::tuple(torch::_fused_adamw(
+        from_raw::TensorList(self), from_raw::TensorList(grads), from_raw::TensorList(exp_avgs), from_raw::TensorList(exp_avg_sqs), from_raw::TensorList(max_exp_avg_sqs), from_raw::TensorList(state_steps), from_raw::Tensor(lr), from_raw::double_t(beta1), from_raw::double_t(beta2), from_raw::double_t(weight_decay), from_raw::double_t(eps), from_raw::bool_t(amsgrad), from_raw::bool_t(maximize), from_raw::optional::Tensor(grad_scale), from_raw::optional::Tensor(found_inf)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__fused_sgd_out_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_bool_bool_tensor_tensor(void* out, void* self, void* grads, void* momentum_buffer_list, void* weight_decay, void* momentum, void* lr, void* dampening, void* nesterov, void* maximize, void* is_first_step, void* grad_scale, void* found_inf)
+{
+  LANTERN_FUNCTION_START
+    torch::_fused_sgd_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::TensorList(grads), from_raw::TensorList(momentum_buffer_list), from_raw::double_t(weight_decay), from_raw::double_t(momentum), from_raw::double_t(lr), from_raw::double_t(dampening), from_raw::bool_t(nesterov), from_raw::bool_t(maximize), from_raw::bool_t(is_first_step), from_raw::optional::Tensor(grad_scale), from_raw::optional::Tensor(found_inf));
+    return NULL;
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__fused_sgd_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_bool_bool_tensor_tensor(void* self, void* grads, void* momentum_buffer_list, void* weight_decay, void* momentum, void* lr, void* dampening, void* nesterov, void* maximize, void* is_first_step, void* grad_scale, void* found_inf)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::tuple(torch::_fused_sgd(
+        from_raw::TensorList(self), from_raw::TensorList(grads), from_raw::TensorList(momentum_buffer_list), from_raw::double_t(weight_decay), from_raw::double_t(momentum), from_raw::double_t(lr), from_raw::double_t(dampening), from_raw::bool_t(nesterov), from_raw::bool_t(maximize), from_raw::bool_t(is_first_step), from_raw::optional::Tensor(grad_scale), from_raw::optional::Tensor(found_inf)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__fused_sgd_out_tensorlist_tensorlist_tensorlist_tensorlist_double_double_tensor_double_bool_bool_bool_tensor_tensor(void* out, void* self, void* grads, void* momentum_buffer_list, void* weight_decay, void* momentum, void* lr, void* dampening, void* nesterov, void* maximize, void* is_first_step, void* grad_scale, void* found_inf)
+{
+  LANTERN_FUNCTION_START
+    torch::_fused_sgd_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::TensorList(grads), from_raw::TensorList(momentum_buffer_list), from_raw::double_t(weight_decay), from_raw::double_t(momentum), from_raw::Tensor(lr), from_raw::double_t(dampening), from_raw::bool_t(nesterov), from_raw::bool_t(maximize), from_raw::bool_t(is_first_step), from_raw::optional::Tensor(grad_scale), from_raw::optional::Tensor(found_inf));
+    return NULL;
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__fused_sgd_tensorlist_tensorlist_tensorlist_double_double_tensor_double_bool_bool_bool_tensor_tensor(void* self, void* grads, void* momentum_buffer_list, void* weight_decay, void* momentum, void* lr, void* dampening, void* nesterov, void* maximize, void* is_first_step, void* grad_scale, void* found_inf)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::tuple(torch::_fused_sgd(
+        from_raw::TensorList(self), from_raw::TensorList(grads), from_raw::TensorList(momentum_buffer_list), from_raw::double_t(weight_decay), from_raw::double_t(momentum), from_raw::Tensor(lr), from_raw::double_t(dampening), from_raw::bool_t(nesterov), from_raw::bool_t(maximize), from_raw::bool_t(is_first_step), from_raw::optional::Tensor(grad_scale), from_raw::optional::Tensor(found_inf)));
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__fused_adagrad_out_tensorlist_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_tensor_tensor(void* out, void* self, void* grads, void* state_sums, void* state_steps, void* lr, void* lr_decay, void* weight_decay, void* eps, void* maximize, void* grad_scale, void* found_inf)
+{
+  LANTERN_FUNCTION_START
+    torch::_fused_adagrad_out(from_raw::TensorList(out), from_raw::TensorList(self), from_raw::TensorList(grads), from_raw::TensorList(state_sums), from_raw::TensorList(state_steps), from_raw::double_t(lr), from_raw::double_t(lr_decay), from_raw::double_t(weight_decay), from_raw::double_t(eps), from_raw::bool_t(maximize), from_raw::optional::Tensor(grad_scale), from_raw::optional::Tensor(found_inf));
+    return NULL;
+  LANTERN_FUNCTION_END
+}
+
+void* _lantern__fused_adagrad_tensorlist_tensorlist_tensorlist_tensorlist_double_double_double_double_bool_tensor_tensor(void* self, void* grads, void* state_sums, void* state_steps, void* lr, void* lr_decay, void* weight_decay, void* eps, void* maximize, void* grad_scale, void* found_inf)
+{
+  LANTERN_FUNCTION_START
+    return make_raw::tuple(torch::_fused_adagrad(
+        from_raw::TensorList(self), from_raw::TensorList(grads), from_raw::TensorList(state_sums), from_raw::TensorList(state_steps), from_raw::double_t(lr), from_raw::double_t(lr_decay), from_raw::double_t(weight_decay), from_raw::double_t(eps), from_raw::bool_t(maximize), from_raw::optional::Tensor(grad_scale), from_raw::optional::Tensor(found_inf)));
+  LANTERN_FUNCTION_END
+}
+
 /* Autogen Body -- End */
diff --git a/src/lantern/src/utils.cpp b/src/lantern/src/utils.cpp
index 4ecb015618..a15db6c4ac 100644
--- a/src/lantern/src/utils.cpp
+++ b/src/lantern/src/utils.cpp
@@ -12,7 +12,7 @@ void *_lantern_vector_int64_t(int64_t *x, size_t x_size) {
   LANTERN_FUNCTION_START
   auto out = std::vector<int64_t>(x, x + x_size);
   return make_raw::vector::int64_t(out);
-  LANTERN_FUNCTION_END
+  LANTERN_FUNCTION_END_RET(0)
 }
 
 void* _lantern_IntArrayRef_get (void* x) {
@@ -25,7 +25,7 @@ void* _lantern_IntArrayRef_get (void* x) {
 int64_t _lantern_vector_int64_t_size(void *self) {
   LANTERN_FUNCTION_START
   return from_raw::vector::int64_t(self).size();
-  LANTERN_FUNCTION_END
+  LANTERN_FUNCTION_END_RET(0)
 }
 
 int64_t _lantern_vector_int64_t_at(void *self, int64_t index) {
@@ -56,7 +56,7 @@ void _lantern_vector_int64_t_push_back(void *self, int64_t x) {
 double _lantern_vector_double_size(void *self) {
   LANTERN_FUNCTION_START
   return reinterpret_cast<std::vector<double> *>(self)->size();
-  LANTERN_FUNCTION_END
+  LANTERN_FUNCTION_END_RET(0)
 }
 
 double _lantern_vector_double_at(void *self, int64_t index) {
@@ -139,19 +139,19 @@ void *_lantern_bool(bool x) {
 bool _lantern_bool_get(void *x) {
   LANTERN_FUNCTION_START
   return from_raw::bool_t(x);
-  LANTERN_FUNCTION_END
+  LANTERN_FUNCTION_END_RET(false)
 }
 
 int64_t _lantern_int64_t_get(void *x) {
   LANTERN_FUNCTION_START
   return from_raw::int64_t(x);
-  LANTERN_FUNCTION_END
+  LANTERN_FUNCTION_END_RET(0)
 }
 
 double _lantern_double_get(void *x) {
   LANTERN_FUNCTION_START
   return from_raw::double_t(x);
-  LANTERN_FUNCTION_END
+  LANTERN_FUNCTION_END_RET(0)
 }
 
 void *_lantern_vector_get(void *x, int i) {
diff --git a/src/torch_api.cpp b/src/torch_api.cpp
index 00d93ae567..c2f1f0408c 100644
--- a/src/torch_api.cpp
+++ b/src/torch_api.cpp
@@ -171,7 +171,9 @@ XPtrTorchOptionalTensor from_sexp_optional_tensor(SEXP x) {
   }
 }
 
-void delete_optional_tensor(void* x) { lantern_optional_tensor_delete(x); }
+void delete_optional_tensor(void* x) { 
+  lantern_optional_tensor_delete(x); 
+}
 
 // index tensor
 
@@ -217,7 +219,7 @@ XPtrTorchTensorList from_sexp_tensor_list(SEXP x) {
   }
 
   if (Rf_isNull(x)) {
-    Rcpp::List tmp;  // create an empty list
+    Rcpp::List tmp(0);  // create an empty list
     return cpp_torch_tensor_list(tmp);
   }
 
@@ -1432,7 +1434,10 @@ XPtrTorchIntArrayRef from_sexp_int_array_ref(SEXP x, bool allow_null,
     if (allow_null) {
       return nullptr;
     } else {
-      Rcpp::stop("Expected a list of integers and found NULL.");
+      // this is required by torch_count_nonzero to keep its behavior of not requiring the dim
+      // argument.
+      std::vector<int64_t> vec(0);
+      return XPtrTorchIntArrayRef(lantern_vector_int64_t(vec.data(), vec.size()));
     }
   }
 
diff --git a/tests/testthat/test-distributions-constraints.R b/tests/testthat/test-distributions-constraints.R
index 169ab27b3c..00ab17c2c9 100644
--- a/tests/testthat/test-distributions-constraints.R
+++ b/tests/testthat/test-distributions-constraints.R
@@ -13,7 +13,7 @@ test_that("positive definite", {
   x <- torch_randn(10, 2, 2)
   expect_tensor_shape(constraint_positive_definite$check(x), c(1, 10))
 
-  x <- torch_ones(10, 2, 2)
+  x <- torch_diag_embed(-1*torch_ones(10, 2, 2), offset = 0, -2, -1)[,1,,]
   expect_equal_to_r(constraint_positive_definite$check(x), matrix(FALSE, nrow = 1, ncol = 10))
 
   x <- torch_eye(2, 2)$unsqueeze(1)
diff --git a/tests/testthat/test-nn-multihead-attention.R b/tests/testthat/test-nn-multihead-attention.R
index 23aee8bfeb..2cd5b1d949 100644
--- a/tests/testthat/test-nn-multihead-attention.R
+++ b/tests/testthat/test-nn-multihead-attention.R
@@ -32,16 +32,10 @@ test_that("nn_multihead_attention", {
 
   t2 <- torch_ones(c(5, 5)) - torch_tril(torch_ones(c(5, 5)))
   t2 <- t2$to(torch_bool())
-  t3 <- torch_bernoulli(torch_ones(c(8, 5)) * 0.5)
+  t3 <- torch_bernoulli(torch_ones(c(8, 5)) * 0.5)$to(dtype = "bool")
   out2 <- attn(t1, t1, t1, attn_mask = t2, key_padding_mask = t3)
 
   expect_identical(out2[[1]]$size(), c(5L, 8L, 32L))
   expect_identical(out2[[2]]$size(), c(8L, 5L, 5L))
 
-  for (i in seq_len(5)) {
-    expect_equal(
-      as.matrix(torch_tril(out2[[2]][i, ])),
-      as.matrix(out2[[2]][i, ])
-    )
-  }
 })
diff --git a/tests/testthat/test-nn-normalization.R b/tests/testthat/test-nn-normalization.R
index 3a5ab7bd68..6491c24aa4 100644
--- a/tests/testthat/test-nn-normalization.R
+++ b/tests/testthat/test-nn-normalization.R
@@ -44,5 +44,5 @@ test_that("group_norm", {
   m <- nn_layer_norm(3)
   mg <- nn_group_norm(1, 3)
 
-  expect_equal_to_tensor(mg(input), m(input))
+  expect_equal_to_tensor(mg(input), m(input), tolerance = 1e-6)
 })
diff --git a/tools/torchgen/R/cpp.R b/tools/torchgen/R/cpp.R
index 20aae826f6..ea9e4f425a 100644
--- a/tools/torchgen/R/cpp.R
+++ b/tools/torchgen/R/cpp.R
@@ -128,7 +128,7 @@ cpp_parameter_type <- function(argument) {
       argument$name %in% c("dims", "dims_self", "dims_other", "dim") &&
       argument$dynamic_type == "IntArrayRef")
   {
-    if (argument$type %in% c("c10::optional<IntArrayRef>", "OptionalIntArrayRef")) {
+    if ((argument$type %in% c("c10::optional<IntArrayRef>", "OptionalIntArrayRef")) || argument$is_nullable) {
       return("XPtrTorchOptionalIndexIntArrayRef")
     } else {
       return("XPtrTorchIndexIntArrayRef")
@@ -138,7 +138,7 @@ cpp_parameter_type <- function(argument) {
   if (indexing_special_cases(argument) &&
       argument$name %in% c("dim", "dim0", "dim1", "dim2", "start_dim", "end_dim", "index") &&
       argument$dynamic_type == "int64_t") {
-    if (argument$type == "c10::optional<int64_t>")
+    if (argument$type == "c10::optional<int64_t>" || argument$is_nullable)
       return("XPtrTorchoptional_index_int64_t")
     else
       return("XPtrTorchindex_int64_t")
@@ -146,18 +146,18 @@ cpp_parameter_type <- function(argument) {
 
   if (indexing_special_cases(argument) &&
       argument$name == "indices" &&
-      argument$dynamic_type == "TensorList") {
+      argument$dynamic_type == "TensorList" &&
+      !argument$is_nullable) {
     return("XPtrTorchIndexTensorList")
   }
 
   if (indexing_special_cases(argument) &&
       argument$name == "indices" &&
-      argument$dynamic_type == "const c10::List<c10::optional<Tensor>> &") {
+      argument$is_nullable) {
     return("XPtrTorchOptionalIndexTensorList")
   }
 
-  if (argument$dynamic_type == "Tensor" &&
-      argument$type == "const c10::optional<Tensor> &") {
+  if (argument$dynamic_type == "Tensor" && argument$is_nullable) {
     return("XPtrTorchOptionalTensor")
   }
 
@@ -165,19 +165,19 @@ cpp_parameter_type <- function(argument) {
     declaration <- "XPtrTorchTensor"
   }
 
-  if (argument$dynamic_type == "bool" && argument$type != "c10::optional<bool>") {
+  if (argument$dynamic_type == "bool" && !argument$is_nullable) {
     declaration <- "XPtrTorchbool"
   }
 
-  if (argument$dynamic_type == "bool" && argument$type == "c10::optional<bool>") {
+  if (argument$dynamic_type == "bool" && argument$is_nullable) {
     declaration <- "XPtrTorchoptional_bool"
   }
 
-  if (argument$dynamic_type == "DimnameList" && argument$type != "c10::optional<DimnameList>") {
+  if (argument$dynamic_type == "DimnameList" && !argument$is_nullable) {
     declaration <-  "XPtrTorchDimnameList"
   }
 
-  if (argument$dynamic_type == "DimnameList" && argument$type == "c10::optional<DimnameList>") {
+  if (argument$dynamic_type == "DimnameList" && argument$is_nullable) {
     declaration <-  "XPtrTorchOptionalDimnameList"
   }
 
@@ -185,35 +185,35 @@ cpp_parameter_type <- function(argument) {
     declaration <- "XPtrTorchTensorList"
   }
 
-  if (argument$dynamic_type == "IntArrayRef" && argument$type %in% c("c10::optional<IntArrayRef>", "OptionalIntArrayRef")) {
+  if (argument$dynamic_type == "IntArrayRef" && ((argument$type %in% c("c10::optional<IntArrayRef>", "OptionalIntArrayRef")) || argument$is_nullable)) {
     return("XPtrTorchOptionalIntArrayRef")
   }
 
-  if (argument$dynamic_type == "IntArrayRef" && argument$type != "c10::optional<IntArrayRef>") {
+  if (argument$dynamic_type == "IntArrayRef" && !argument$is_nullable) {
     declaration <- "XPtrTorchIntArrayRef"
   }
 
-  if (argument$dynamic_type == "ArrayRef<double>" && argument$type == "c10::optional<ArrayRef<double>>") {
+  if (argument$dynamic_type == "ArrayRef<double>" && argument$is_nullable) {
     declaration <- "XPtrTorchOptionalDoubleArrayRef"
   }
 
-  if (argument$dynamic_type == "ArrayRef<double>"&& argument$type != "c10::optional<ArrayRef<double>>") {
+  if (argument$dynamic_type == "ArrayRef<double>" && !argument$is_nullable) {
     declaration <- "std::vector<double>"
   }
 
-  if (argument$dynamic_type == "int64_t" && !argument$type == "c10::optional<int64_t>") {
+  if (argument$dynamic_type == "int64_t" && !argument$is_nullable) {
     declaration <- "XPtrTorchint64_t"
   }
 
-  if (argument$dynamic_type == "int64_t" && argument$type == "c10::optional<int64_t>") {
+  if (argument$dynamic_type == "int64_t" && argument$is_nullable) {
     declaration <- "XPtrTorchoptional_int64_t"
   }
 
-  if (argument$dynamic_type == "double" && argument$type == "c10::optional<double>") {
+  if (argument$dynamic_type == "double" && argument$is_nullable) {
     declaration <- "XPtrTorchOptionaldouble"
   }
 
-  if (argument$dynamic_type == "double" && !argument$type == "c10::optional<double>") {
+  if (argument$dynamic_type == "double" && !argument$is_nullable) {
     declaration <- "XPtrTorchdouble"
   }
 
@@ -229,27 +229,27 @@ cpp_parameter_type <- function(argument) {
     declaration <- "XPtrTorchGenerator"
   }
 
-  if (argument$dynamic_type == "Generator" && argument$type != "c10::optional<Generator>") {
+  if (argument$dynamic_type == "Generator" && !argument$is_nullable) {
     declaration <- "XPtrTorchGenerator"
   }
 
-  if (argument$dynamic_type == "Generator" && argument$type == "c10::optional<Generator>") {
+  if (argument$dynamic_type == "Generator" && argument$is_nullable) {
     declaration <- "XPtrTorchOptionalGenerator"
   }
 
-  if (argument$dynamic_type == "ScalarType" && argument$type != "c10::optional<ScalarType>") {
+  if (argument$dynamic_type == "ScalarType" && !argument$is_nullable) {
     declaration <- "XPtrTorchDtype"
   }
 
-  if (argument$dynamic_type == "ScalarType" && argument$type == "c10::optional<ScalarType>") {
+  if (argument$dynamic_type == "ScalarType" && argument$is_nullable) {
     declaration <- "XPtrTorchoptional_scalar_type"
   }
 
-  if (argument$dynamic_type == "Scalar" && !stringr::str_detect(argument$type, "optional")) {
+  if (argument$dynamic_type == "Scalar" && !argument$is_nullable) {
     declaration <- "XPtrTorchScalar"
   }
 
-  if (argument$dynamic_type == "Scalar" && stringr::str_detect(argument$type, "optional")) {
+  if (argument$dynamic_type == "Scalar" && argument$is_nullable) {
     declaration <- "XPtrTorchoptional_scalar"
   }
 
@@ -261,19 +261,19 @@ cpp_parameter_type <- function(argument) {
     declaration <- "std::vector<bool>"
   }
 
-  if (argument$dynamic_type == "MemoryFormat" && argument$type != "c10::optional<MemoryFormat>") {
+  if (argument$dynamic_type == "MemoryFormat" && !argument$is_nullable) {
     declaration <- "XPtrTorchMemoryFormat"
   }
 
-  if (argument$dynamic_type == "MemoryFormat" && argument$type == "c10::optional<MemoryFormat>") {
+  if (argument$dynamic_type == "MemoryFormat" && argument$is_nullable) {
     declaration <- "XPtrTorchoptional_memory_format"
   }
 
-  if (argument$dynamic_type == "std::string" && argument$type != "c10::optional<std::string>") {
+  if (argument$dynamic_type == "std::string" && !argument$is_nullable) {
     declaration <- "XPtrTorchstring"
   }
 
-  if (argument$dynamic_type == "std::string" && argument$type == "c10::optional<std::string>") {
+  if (argument$dynamic_type == "std::string" && argument$is_nullable) {
     declaration <- "XPtrTorchoptional_string"
   }
 
@@ -301,11 +301,11 @@ cpp_parameter_type <- function(argument) {
     declaration <- "XPtrTorchvector_Scalar"
   }
 
-  if (argument$dynamic_type == "c10::string_view" && argument$type == "c10::optional<c10::string_view>") {
+  if (argument$dynamic_type == "c10::string_view" && argument$is_nullable) {
     declaration <- "XPtrTorchoptional_string_view"
   }
 
-  if (argument$dynamic_type == "c10::string_view" && argument$type != "c10::optional<c10::string_view>") {
+  if (argument$dynamic_type == "c10::string_view" && !argument$is_nullable) {
     declaration <- "XPtrTorchstring_view"
   }
 
@@ -325,6 +325,14 @@ cpp_parameter_type <- function(argument) {
     declaration <- "XPtrTorchTensorList"
   }
 
+  if (argument$dynamic_type == "const c10::List<::std::optional<Tensor>> &") {
+    declaration <- "XPtrTorchOptionalTensorList"
+  }
+
+  if (argument$dynamic_type == "DeviceIndex") {
+    declaration <- "int"
+  }
+
   # FIXME: Stop if argument$dynamic_type is not handled
   if (!exists("declaration")) {
     stop(paste(argument$dynamic_type, "is not handled!"))
@@ -384,19 +392,19 @@ cpp_argument_transform <- function(argument) {
     result <- glue::glue("{argument$name}.get()")
   }
 
-  if (argument$dynamic_type == "IntArrayRef" && argument$type != "c10::optional<IntArrayRef>") {
+  if (argument$dynamic_type == "IntArrayRef" && !argument$is_nullable) {
     result <- glue::glue("{argument$name}.get()")
   }
 
-  if (argument$dynamic_type == "IntArrayRef" && argument$type %in% c("c10::optional<IntArrayRef>", "OptionalIntArrayRef")) {
+  if (argument$dynamic_type == "IntArrayRef" && argument$is_nullable) {
     result <- glue::glue("{argument$name}.get()")
   }
 
-  if (argument$dynamic_type == "ArrayRef<double>" && argument$type != "c10::optional<ArrayRef<double>>") {
+  if (argument$dynamic_type == "ArrayRef<double>" && !argument$is_nullable) {
     result <- glue::glue("lantern_vector_double({argument$name}.data(), {argument$name}.size())")
   }
 
-  if (argument$dynamic_type == "ArrayRef<double>" && argument$type == "c10::optional<ArrayRef<double>>") {
+  if (argument$dynamic_type == "ArrayRef<double>" && argument$is_nullable) {
     result <- glue::glue("{argument$name}.get()")
   }
 
@@ -404,11 +412,11 @@ cpp_argument_transform <- function(argument) {
     result <- glue::glue("{argument$name}.get()")
   }
 
-  if (argument$dynamic_type == "double" && !argument$type == "c10::optional<double>") {
+  if (argument$dynamic_type == "double" && !argument$is_nullable) {
     result <- glue::glue("{argument$name}.get()")
   }
 
-  if (argument$dynamic_type == "double" && argument$type == "c10::optional<double>") {
+  if (argument$dynamic_type == "double" && argument$is_nullable) {
     result <- glue::glue("{argument$name}.get()")
   }
 
@@ -496,6 +504,14 @@ cpp_argument_transform <- function(argument) {
     result <- glue::glue("{argument$name}.get()")
   }
 
+  if (argument$dynamic_type == "const c10::List<::std::optional<Tensor>> &") {
+    result <- glue::glue("{argument$name}.get()")
+  }
+
+  if (argument$dynamic_type == "DeviceIndex") {
+    result <- glue::glue("{argument$name}")
+  }
+
   # FIXME: Stop if argument$dynamic_type is not handled
   if (!exists("result")) {
     stop(paste(argument$dynamic_type, "is not handled!"))
@@ -667,10 +683,21 @@ SKIP_R_BINDIND <- c(
   "_use_cudnn_rnn_flatten_weight",
   "is_vulkan_available",
   "_test_ambiguous_defaults",
-  "_test_string_default"
+  "_test_string_default",
+  "_cufft_get_plan_cache_size",
+  "_cufft_get_plan_cache_max_size",
+  "_cufft_set_plan_cache_max_size",
+  "_cufft_clear_plan_cache",
+  "sym_size",
+  "sym_numel",
+  "sym_stride",
+  "sym_storage_offset",
+  "_make_dep_token"
 )
 
-SKIP_CPP_BINDING <- c()
+SKIP_CPP_BINDING <- c(
+  "_cufft_get_plan_cache_size"
+)
 
 cpp <- function(path) {
 
diff --git a/tools/torchgen/R/r.R b/tools/torchgen/R/r.R
index 5579bb2982..8623171da6 100644
--- a/tools/torchgen/R/r.R
+++ b/tools/torchgen/R/r.R
@@ -237,6 +237,22 @@ r_argument_default <- function(default) {
 
   if (default == "\"reflect\"")
     return("\"reflect\"")
+  
+  if (default == "::std::nullopt") {
+    return("NULL")
+  }
+
+  if (default == "c10::MemoryFormContiguous") {
+    return("torch_contiguous_format()")
+  }
+
+  if (default == '""') {
+    return('""')
+  }
+
+  if (default == '"right"') {
+    return('"right"')
+  }
 
   browser()
 }
diff --git a/tools/torchgen/R/utils.R b/tools/torchgen/R/utils.R
index 1030fd3e8d..9a4183ba59 100644
--- a/tools/torchgen/R/utils.R
+++ b/tools/torchgen/R/utils.R
@@ -7,7 +7,7 @@
 #' @export
 declarations <- function() {
 
-  version <- getOption("torchgen.version", default = "2.0.1")
+  version <- getOption("torchgen.version", default = "2.5.1")
   path <- getOption("torchgen.path")
 
   if (is.null(path)) {
diff --git a/tools/torchgen/inst/declaration/Declarations-2.0.1.yaml b/tools/torchgen/inst/declaration/Declarations-2.5.1.yaml
similarity index 89%
rename from tools/torchgen/inst/declaration/Declarations-2.0.1.yaml
rename to tools/torchgen/inst/declaration/Declarations-2.5.1.yaml
index 88688e1499..eeed871255 100644
--- a/tools/torchgen/inst/declaration/Declarations-2.0.1.yaml
+++ b/tools/torchgen/inst/declaration/Declarations-2.5.1.yaml
@@ -396,20 +396,20 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: gradient
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     name: retain_graph
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
     name: create_graph
     type: bool
-  schema_order_cpp_signature: void (const at::Tensor &, at::TensorList, const c10::optional<at::Tensor> &, c10::optional<bool>, bool)
+  schema_order_cpp_signature: void (const at::Tensor &, at::TensorList, const ::std::optional<at::Tensor> &, ::std::optional<bool>, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -426,13 +426,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: gradient
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     name: retain_graph
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -1018,8 +1018,8 @@
     dynamic_type: at::DimnameList
     is_nullable: true
     name: names
-    type: c10::optional<at::DimnameList>
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, c10::optional<at::DimnameList>)
+    type: ::std::optional<at::DimnameList>
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, ::std::optional<at::DimnameList>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -1030,7 +1030,7 @@
     dynamic_type: at::DimnameList
     is_nullable: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   method_of:
   - Type
   - Tensor
@@ -1063,8 +1063,8 @@
     dynamic_type: at::DimnameList
     is_nullable: true
     name: names
-    type: c10::optional<at::DimnameList>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::DimnameList>)
+    type: ::std::optional<at::DimnameList>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::DimnameList>)
   schema_order_arguments:
   - annotation: a
     dynamic_type: at::Tensor
@@ -1075,7 +1075,7 @@
     dynamic_type: at::DimnameList
     is_nullable: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   method_of:
   - Type
   - Tensor
@@ -1304,12 +1304,206 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: _assert_async
+  operator_name: _assert_async
+  overload_name: msg
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_assert_async.msg(Tensor self, str assert_msg) -> ()
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: c10::string_view
+    is_nullable: false
+    name: assert_msg
+    type: c10::string_view
+  schema_order_cpp_signature: void (const at::Tensor &, c10::string_view)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: c10::string_view
+    is_nullable: false
+    name: assert_msg
+    type: c10::string_view
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _assert_scalar
+  operator_name: _assert_scalar
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_assert_scalar(Scalar self, str assert_msg) -> ()
+  arguments:
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: self
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: c10::string_view
+    is_nullable: false
+    name: assert_msg
+    type: c10::string_view
+  schema_order_cpp_signature: void (const at::Scalar &, c10::string_view)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: self
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: c10::string_view
+    is_nullable: false
+    name: assert_msg
+    type: c10::string_view
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _functional_assert_scalar
+  operator_name: _functional_assert_scalar
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_functional_assert_scalar(Scalar self, str assert_msg, Tensor dep_token) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: self
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: c10::string_view
+    is_nullable: false
+    name: assert_msg
+    type: c10::string_view
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: dep_token
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Scalar &, c10::string_view, const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: self
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: c10::string_view
+    is_nullable: false
+    name: assert_msg
+    type: c10::string_view
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: dep_token
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _functional_assert_async
+  operator_name: _functional_assert_async
+  overload_name: msg
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_functional_assert_async.msg(Tensor self, str assert_msg, Tensor dep_token) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: c10::string_view
+    is_nullable: false
+    name: assert_msg
+    type: c10::string_view
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: dep_token
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::string_view, const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: c10::string_view
+    is_nullable: false
+    name: assert_msg
+    type: c10::string_view
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: dep_token
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: _assert_tensor_metadata
   operator_name: _assert_tensor_metadata
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_assert_tensor_metadata(Tensor a, int[]? size=None, int[]? stride=None, ScalarType? dtype=None) -> ()
+  schema_string: aten::_assert_tensor_metadata(Tensor a, SymInt[]? size=None, SymInt[]? stride=None, ScalarType? dtype=None) -> ()
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -1317,24 +1511,24 @@
     name: a
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: size
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: stride
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: void (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: void (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -1342,23 +1536,23 @@
     name: a
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: size
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: stride
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - namespace
@@ -1372,6 +1566,362 @@
   with_gil: false
   deprecated: false
   has_math_kernel: true
+- name: _print
+  operator_name: _print
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_print(str s) -> ()
+  arguments:
+  - annotation: null
+    dynamic_type: c10::string_view
+    is_nullable: false
+    name: s
+    type: c10::string_view
+  schema_order_cpp_signature: void (c10::string_view)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: c10::string_view
+    is_nullable: false
+    name: s
+    type: c10::string_view
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: sym_constrain_range
+  operator_name: sym_constrain_range
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::sym_constrain_range(Scalar size, *, int? min=None, int? max=None) -> ()
+  arguments:
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: size
+    type: const at::Scalar &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    kwarg_only: true
+    name: min
+    type: ::std::optional<int64_t>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    kwarg_only: true
+    name: max
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: void (const at::Scalar &, ::std::optional<int64_t>, ::std::optional<int64_t>)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: size
+    type: const at::Scalar &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    kwarg_only: true
+    name: min
+    type: ::std::optional<int64_t>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    kwarg_only: true
+    name: max
+    type: ::std::optional<int64_t>
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: sym_constrain_range_for_size
+  operator_name: sym_constrain_range_for_size
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::sym_constrain_range_for_size(Scalar size, *, int? min=None, int? max=None) -> ()
+  arguments:
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: size
+    type: const at::Scalar &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    kwarg_only: true
+    name: min
+    type: ::std::optional<int64_t>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    kwarg_only: true
+    name: max
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: void (const at::Scalar &, ::std::optional<int64_t>, ::std::optional<int64_t>)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: size
+    type: const at::Scalar &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    kwarg_only: true
+    name: min
+    type: ::std::optional<int64_t>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    kwarg_only: true
+    name: max
+    type: ::std::optional<int64_t>
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _functional_sym_constrain_range
+  operator_name: _functional_sym_constrain_range
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_functional_sym_constrain_range(Scalar size, int? min, int? max, Tensor dep_token) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: size
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: true
+    name: min
+    type: ::std::optional<int64_t>
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: true
+    name: max
+    type: ::std::optional<int64_t>
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: dep_token
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Scalar &, ::std::optional<int64_t>, ::std::optional<int64_t>, const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: size
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: true
+    name: min
+    type: ::std::optional<int64_t>
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: true
+    name: max
+    type: ::std::optional<int64_t>
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: dep_token
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _functional_sym_constrain_range_for_size
+  operator_name: _functional_sym_constrain_range_for_size
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_functional_sym_constrain_range_for_size(Scalar size, int? min, int? max, Tensor dep_token) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: size
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: true
+    name: min
+    type: ::std::optional<int64_t>
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: true
+    name: max
+    type: ::std::optional<int64_t>
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: dep_token
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Scalar &, ::std::optional<int64_t>, ::std::optional<int64_t>, const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: size
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: true
+    name: min
+    type: ::std::optional<int64_t>
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: true
+    name: max
+    type: ::std::optional<int64_t>
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: dep_token
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _make_dep_token
+  operator_name: _make_dep_token
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_make_dep_token(*, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor
+  arguments:
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::TensorOptions
+    is_nullable: false
+    kwarg_only: true
+    name: options
+    type: at::TensorOptions
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::MemoryFormat
+    is_nullable: true
+    kwarg_only: true
+    name: memory_format
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor (::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>, ::std::optional<at::MemoryFormat>)
+  schema_order_arguments:
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Layout
+    is_nullable: true
+    kwarg_only: true
+    name: layout
+    type: ::std::optional<at::Layout>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Device
+    is_nullable: true
+    kwarg_only: true
+    name: device
+    type: ::std::optional<at::Device>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    kwarg_only: true
+    name: pin_memory
+    type: ::std::optional<bool>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::MemoryFormat
+    is_nullable: true
+    kwarg_only: true
+    name: memory_format
+    type: ::std::optional<at::MemoryFormat>
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: true
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: refine_names
   operator_name: refine_names
   overload_name: ''
@@ -1929,7 +2479,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight_buf
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -1939,7 +2489,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: cx
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -1989,8 +2539,8 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: dropout_state
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, at::TensorList, int64_t, const c10::optional<at::Tensor> &, const at::Tensor &, const c10::optional<at::Tensor> &, int64_t, int64_t, int64_t, int64_t, bool, double, bool, bool, at::IntArrayRef, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, at::TensorList, int64_t, const ::std::optional<at::Tensor> &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, int64_t, int64_t, int64_t, bool, double, bool, bool, at::IntArrayRef, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -2011,7 +2561,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight_buf
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -2021,7 +2571,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: cx
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -2071,7 +2621,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: dropout_state
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - namespace
@@ -2136,7 +2686,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: cx
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -2146,17 +2696,17 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_output
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_hy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_cy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -2206,7 +2756,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: dropout_state
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -2217,7 +2767,7 @@
     is_nullable: false
     name: output_mask
     type: ::std::array<bool,4>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,::std::vector<at::Tensor>> (const at::Tensor &, at::TensorList, int64_t, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, int64_t, int64_t, int64_t, int64_t, bool, double, bool, bool, at::IntArrayRef, const c10::optional<at::Tensor> &, const at::Tensor &, ::std::array<bool,4>)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,::std::vector<at::Tensor>> (const at::Tensor &, at::TensorList, int64_t, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, int64_t, int64_t, int64_t, int64_t, bool, double, bool, bool, at::IntArrayRef, const ::std::optional<at::Tensor> &, const at::Tensor &, ::std::array<bool,4>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -2248,7 +2798,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: cx
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -2258,17 +2808,17 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_output
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_hy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_cy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -2318,7 +2868,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: dropout_state
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -2382,7 +2932,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (double, bool, int64_t, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (double, bool, int64_t, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: double
@@ -2400,33 +2950,33 @@
     name: dropout_seed
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -2496,12 +3046,12 @@
     name: p
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, double, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, double, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -2514,11 +3064,11 @@
     name: p
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - namespace
@@ -2614,8 +3164,8 @@
     dynamic_type: bool
     is_nullable: true
     name: train
-    type: c10::optional<bool>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, double, c10::optional<bool>)
+    type: ::std::optional<bool>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, double, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -2631,7 +3181,7 @@
     dynamic_type: bool
     is_nullable: true
     name: train
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -2742,8 +3292,8 @@
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, int64_t, const at::Tensor &, int64_t, int64_t, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, int64_t, const at::Tensor &, int64_t, int64_t, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -2774,7 +3324,7 @@
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - namespace
@@ -4018,13 +4568,13 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::MemoryFormat>)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::MemoryFormat>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -4032,12 +4582,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   method_of:
   - Type
   - Tensor
@@ -6045,7 +6595,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::affine_grid_generator(Tensor theta, int[] size, bool align_corners) -> Tensor
+  schema_string: aten::affine_grid_generator(Tensor theta, SymInt[] size, bool align_corners) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -6100,7 +6650,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::affine_grid_generator_backward(Tensor grad, int[] size, bool align_corners) -> Tensor
+  schema_string: aten::affine_grid_generator_backward(Tensor grad, SymInt[] size, bool align_corners) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -6257,6 +6807,51 @@
   with_gil: false
   deprecated: false
   has_math_kernel: true
+- name: _test_functorch_fallback
+  operator_name: _test_functorch_fallback
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_test_functorch_fallback(Tensor self, Tensor other) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: other
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: other
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: all
   operator_name: all
   overload_name: dim
@@ -6315,6 +6910,66 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: all
+  operator_name: all
+  overload_name: dims
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::all.dims(Tensor self, int[]? dim=None, bool keepdim=False) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::IntArrayRef
+    is_nullable: true
+    name: dim
+    type: at::OptionalIntArrayRef
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: keepdim
+    type: bool
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, bool)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::IntArrayRef
+    is_nullable: true
+    name: dim
+    type: at::OptionalIntArrayRef
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: keepdim
+    type: bool
+  method_of:
+  - Type
+  - Tensor
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: all_out
   operator_name: all
   overload_name: out
@@ -6386,6 +7041,79 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: all_out
+  operator_name: all
+  overload_name: dims_out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::all.dims_out(Tensor self, int[]? dim=None, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::IntArrayRef
+    is_nullable: true
+    name: dim
+    type: at::OptionalIntArrayRef
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: keepdim
+    type: bool
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, bool, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::IntArrayRef
+    is_nullable: true
+    name: dim
+    type: at::OptionalIntArrayRef
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: keepdim
+    type: bool
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: all
   operator_name: all
   overload_name: dimname
@@ -6655,37 +7383,31 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: any_out
+- name: any
   operator_name: any
-  overload_name: out
+  overload_name: dims
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::any.out(Tensor self, int dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::any.dims(Tensor self, int[]? dim=None, bool keepdim=False) -> Tensor
   arguments:
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
     name: self
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
+    default: ::std::nullopt
+    dynamic_type: at::IntArrayRef
+    is_nullable: true
     name: dim
-    type: int64_t
+    type: at::OptionalIntArrayRef
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
     name: keepdim
     type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, bool, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -6693,32 +7415,27 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
+    default: ::std::nullopt
+    dynamic_type: at::IntArrayRef
+    is_nullable: true
     name: dim
-    type: int64_t
+    type: at::OptionalIntArrayRef
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
     name: keepdim
     type: bool
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
   method_of:
   - Type
+  - Tensor
   - namespace
   mode: native
   python_module: ''
   returns:
   - dynamic_type: at::Tensor
-    name: out
-    type: at::Tensor &
+    name: result
+    type: at::Tensor
   inplace: false
   is_factory_method: false
   abstract: true
@@ -6726,30 +7443,37 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: any
+- name: any_out
   operator_name: any
-  overload_name: dimname
+  overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::any.dimname(Tensor self, Dimname dim, bool keepdim=False) -> Tensor
+  schema_string: aten::any.out(Tensor self, int dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
     name: self
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::Dimname
+    dynamic_type: int64_t
     is_nullable: false
     name: dim
-    type: at::Dimname
+    type: int64_t
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
     name: keepdim
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::Dimname, bool)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -6757,39 +7481,45 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::Dimname
+    dynamic_type: int64_t
     is_nullable: false
     name: dim
-    type: at::Dimname
+    type: int64_t
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
     name: keepdim
     type: bool
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
   method_of:
   - Type
-  - Tensor
   - namespace
   mode: native
   python_module: ''
   returns:
   - dynamic_type: at::Tensor
-    name: result
-    type: at::Tensor
+    name: out
+    type: at::Tensor &
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: any_out
   operator_name: any
-  overload_name: dimname_out
+  overload_name: dims_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::any.dimname_out(Tensor self, Dimname dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::any.dims_out(Tensor self, int[]? dim=None, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -6804,17 +7534,18 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::Dimname
-    is_nullable: false
+    default: ::std::nullopt
+    dynamic_type: at::IntArrayRef
+    is_nullable: true
     name: dim
-    type: at::Dimname
+    type: at::OptionalIntArrayRef
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
     name: keepdim
     type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::Dimname, bool, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -6822,10 +7553,140 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::Dimname
-    is_nullable: false
+    default: ::std::nullopt
+    dynamic_type: at::IntArrayRef
+    is_nullable: true
     name: dim
-    type: at::Dimname
+    type: at::OptionalIntArrayRef
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: keepdim
+    type: bool
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: any
+  operator_name: any
+  overload_name: dimname
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::any.dimname(Tensor self, Dimname dim, bool keepdim=False) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Dimname
+    is_nullable: false
+    name: dim
+    type: at::Dimname
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: keepdim
+    type: bool
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::Dimname, bool)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Dimname
+    is_nullable: false
+    name: dim
+    type: at::Dimname
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: keepdim
+    type: bool
+  method_of:
+  - Type
+  - Tensor
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: false
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: true
+- name: any_out
+  operator_name: any
+  overload_name: dimname_out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::any.dimname_out(Tensor self, Dimname dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Dimname
+    is_nullable: false
+    name: dim
+    type: at::Dimname
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: keepdim
+    type: bool
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::Dimname, bool, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Dimname
+    is_nullable: false
+    name: dim
+    type: at::Dimname
   - annotation: null
     default: false
     dynamic_type: bool
@@ -6874,7 +7735,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Scalar &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Scalar &, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: const at::Scalar &
@@ -6882,33 +7743,33 @@
     name: end
     type: const at::Scalar &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -6949,7 +7810,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Scalar &, const at::Scalar &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Scalar &, const at::Scalar &, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: const at::Scalar &
@@ -6962,33 +7823,33 @@
     name: end
     type: const at::Scalar &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -7035,7 +7896,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Scalar &, const at::Scalar &, const at::Scalar &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Scalar &, const at::Scalar &, const at::Scalar &, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: const at::Scalar &
@@ -7054,33 +7915,33 @@
     name: step
     type: const at::Scalar &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -7275,18 +8136,18 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
     name: keepdim
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<int64_t>, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<int64_t>, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -7294,11 +8155,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -7342,18 +8203,18 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
     name: keepdim
     type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<int64_t>, bool, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<int64_t>, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -7361,11 +8222,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -7408,18 +8269,18 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
     name: keepdim
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<int64_t>, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<int64_t>, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -7427,11 +8288,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -7475,18 +8336,18 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
     name: keepdim
     type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<int64_t>, bool, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<int64_t>, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -7494,11 +8355,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -8277,12 +9138,12 @@
     name: stride
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: storage_offset
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: a
     dynamic_type: at::Tensor
@@ -8300,11 +9161,11 @@
     name: stride
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: storage_offset
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - Tensor
@@ -8345,12 +9206,12 @@
     name: stride
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: storage_offset
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: const at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: const at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -8368,11 +9229,11 @@
     name: stride
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: storage_offset
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - Tensor
@@ -9367,7 +10228,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -9375,33 +10236,33 @@
     name: window_length
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -9442,7 +10303,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, bool, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, bool, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -9455,33 +10316,33 @@
     name: periodic
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -9514,22 +10375,22 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -9550,7 +10411,7 @@
     is_nullable: false
     name: cudnn_enabled
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, bool, double, double, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, bool, double, double, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -9561,22 +10422,22 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -9629,12 +10490,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -9660,7 +10521,7 @@
     is_nullable: false
     name: output_zero_point
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, double, double, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, double, double, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -9671,12 +10532,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -9734,22 +10595,22 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -9770,7 +10631,7 @@
     is_nullable: false
     name: cudnn_enabled
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,int64_t> (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, bool, double, double, bool)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,int64_t> (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, bool, double, double, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -9781,22 +10642,22 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -9871,27 +10732,27 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_var_transform
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -9912,7 +10773,7 @@
     is_nullable: false
     name: reservedSpace
     type: const at::Tensor &
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (int64_t, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, bool, double, ::std::array<bool,3>, const at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (int64_t, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, bool, double, ::std::array<bool,3>, const at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -9933,27 +10794,27 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_var_transform
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -10009,13 +10870,13 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -10023,12 +10884,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - Tensor
@@ -10066,13 +10927,13 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -10080,12 +10941,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -10127,13 +10988,13 @@
     name: p
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const at::Tensor &, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const at::Tensor &, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -10146,12 +11007,12 @@
     name: p
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - Tensor
@@ -10187,13 +11048,13 @@
     name: p
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, double, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, double, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -10207,12 +11068,12 @@
     name: p
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - Tensor
@@ -10247,13 +11108,13 @@
     name: p
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, double, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, double, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -10266,12 +11127,12 @@
     name: p
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - Tensor
@@ -10316,8 +11177,8 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -10339,7 +11200,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - namespace
@@ -10378,14 +11239,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
     is_nullable: false
     name: reduction
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -10402,7 +11263,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
@@ -10454,14 +11315,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
     is_nullable: false
     name: reduction
     type: int64_t
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, int64_t, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -10478,7 +11339,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
@@ -10535,14 +11396,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
     is_nullable: false
     name: reduction
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -10564,7 +11425,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
@@ -10621,14 +11482,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
     is_nullable: false
     name: reduction
     type: int64_t
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, int64_t, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -10650,7 +11511,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
@@ -10702,20 +11563,20 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: pos_weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
     is_nullable: false
     name: reduction
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -10732,13 +11593,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: pos_weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
@@ -10778,14 +11639,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 0
     dynamic_type: int64_t
     is_nullable: false
     name: minlength
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::optional<at::Tensor> &, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -10797,7 +11658,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 0
     dynamic_type: int64_t
@@ -11241,12 +12102,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: logical_not
-  operator_name: logical_not
+- name: _lazy_clone
+  operator_name: _lazy_clone
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::logical_not(Tensor self) -> Tensor
+  schema_string: aten::_lazy_clone(Tensor self) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -11277,119 +12138,25 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: logical_not_
-  operator_name: logical_not_
-  overload_name: ''
-  manual_kernel_registration: false
-  category_override: ''
-  schema_string: aten::logical_not_(Tensor(a!) self) -> Tensor(a!)
-  arguments:
-  - annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: self
-    type: at::Tensor &
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &)
-  schema_order_arguments:
-  - annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: self
-    type: at::Tensor &
-  method_of:
-  - Type
-  - Tensor
-  mode: native
-  python_module: ''
-  returns:
-  - dynamic_type: at::Tensor
-    name: self
-    type: at::Tensor &
-  inplace: true
-  is_factory_method: false
-  abstract: true
-  device_guard: true
-  with_gil: false
-  deprecated: false
-  has_math_kernel: false
-- name: logical_not_out
+- name: logical_not
   operator_name: logical_not
-  overload_name: out
-  manual_kernel_registration: false
-  category_override: ''
-  schema_string: aten::logical_not.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
-  arguments:
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: self
-    type: const at::Tensor &
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::Tensor &)
-  schema_order_arguments:
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: self
-    type: const at::Tensor &
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
-  method_of:
-  - Type
-  - namespace
-  mode: native
-  python_module: ''
-  returns:
-  - dynamic_type: at::Tensor
-    name: out
-    type: at::Tensor &
-  inplace: false
-  is_factory_method: false
-  abstract: true
-  device_guard: true
-  with_gil: false
-  deprecated: false
-  has_math_kernel: false
-- name: logical_xor
-  operator_name: logical_xor
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::logical_xor(Tensor self, Tensor other) -> Tensor
+  schema_string: aten::logical_not(Tensor self) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
     name: self
     type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: other
-    type: const at::Tensor &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
     name: self
     type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: other
-    type: const at::Tensor &
   method_of:
   - Type
   - Tensor
@@ -11407,35 +12174,25 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: logical_xor_
-  operator_name: logical_xor_
+- name: logical_not_
+  operator_name: logical_not_
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::logical_xor_(Tensor(a!) self, Tensor other) -> Tensor(a!)
+  schema_string: aten::logical_not_(Tensor(a!) self) -> Tensor(a!)
   arguments:
   - annotation: a!
     dynamic_type: at::Tensor
     is_nullable: false
     name: self
     type: at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: other
-    type: const at::Tensor &
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
     is_nullable: false
     name: self
     type: at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: other
-    type: const at::Tensor &
   method_of:
   - Type
   - Tensor
@@ -11452,12 +12209,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: logical_xor_out
-  operator_name: logical_xor
+- name: logical_not_out
+  operator_name: logical_not
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::logical_xor.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::logical_not.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -11471,23 +12228,163 @@
     is_nullable: false
     name: self
     type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: other
-    type: const at::Tensor &
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
     name: self
     type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: other
-    type: const at::Tensor &
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: logical_xor
+  operator_name: logical_xor
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::logical_xor(Tensor self, Tensor other) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: other
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: other
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - Tensor
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: logical_xor_
+  operator_name: logical_xor_
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::logical_xor_(Tensor(a!) self, Tensor other) -> Tensor(a!)
+  arguments:
+  - annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: other
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const at::Tensor &)
+  schema_order_arguments:
+  - annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: other
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - Tensor
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: self
+    type: at::Tensor &
+  inplace: true
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: logical_xor_out
+  operator_name: logical_xor
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::logical_xor.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: other
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: other
+    type: const at::Tensor &
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -11830,7 +12727,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -11838,33 +12735,33 @@
     name: window_length
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -11905,7 +12802,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, bool, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, bool, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -11918,33 +12815,33 @@
     name: periodic
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -13371,18 +14268,18 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: min
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: max
-    type: const c10::optional<at::Scalar> &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::optional<at::Scalar> &, const c10::optional<at::Scalar> &)
+    type: const ::std::optional<at::Scalar> &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const ::std::optional<at::Scalar> &, const ::std::optional<at::Scalar> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -13390,17 +14287,17 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: min
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: max
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   method_of:
   - Type
   - Tensor
@@ -13435,14 +14332,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: min
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: max
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -13454,13 +14351,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: min
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: max
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - Tensor
@@ -13491,18 +14388,18 @@
     name: self
     type: at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: min
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: max
-    type: const c10::optional<at::Scalar> &
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const c10::optional<at::Scalar> &, const c10::optional<at::Scalar> &)
+    type: const ::std::optional<at::Scalar> &
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const ::std::optional<at::Scalar> &, const ::std::optional<at::Scalar> &)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -13510,17 +14407,17 @@
     name: self
     type: at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: min
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: max
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   method_of:
   - Type
   - Tensor
@@ -13555,14 +14452,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: min
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: max
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -13574,13 +14471,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: min
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: max
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - Tensor
@@ -13618,18 +14515,18 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: min
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: max
-    type: const c10::optional<at::Scalar> &
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const c10::optional<at::Scalar> &, const c10::optional<at::Scalar> &, at::Tensor &)
+    type: const ::std::optional<at::Scalar> &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const ::std::optional<at::Scalar> &, const ::std::optional<at::Scalar> &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -13637,17 +14534,17 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: min
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: max
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -13695,14 +14592,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: min
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: max
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, at::Tensor &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -13714,13 +14611,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: min
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: max
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -14361,18 +15258,18 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: min
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: max
-    type: const c10::optional<at::Scalar> &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::optional<at::Scalar> &, const c10::optional<at::Scalar> &)
+    type: const ::std::optional<at::Scalar> &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const ::std::optional<at::Scalar> &, const ::std::optional<at::Scalar> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -14380,17 +15277,17 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: min
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: max
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   method_of:
   - Type
   - Tensor
@@ -14425,14 +15322,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: min
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: max
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -14444,13 +15341,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: min
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: max
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - Tensor
@@ -14481,18 +15378,18 @@
     name: self
     type: at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: min
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: max
-    type: const c10::optional<at::Scalar> &
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const c10::optional<at::Scalar> &, const c10::optional<at::Scalar> &)
+    type: const ::std::optional<at::Scalar> &
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const ::std::optional<at::Scalar> &, const ::std::optional<at::Scalar> &)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -14500,17 +15397,17 @@
     name: self
     type: at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: min
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: max
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   method_of:
   - Type
   - Tensor
@@ -14545,14 +15442,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: min
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: max
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -14564,13 +15461,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: min
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: max
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - Tensor
@@ -14608,18 +15505,18 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: min
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: max
-    type: const c10::optional<at::Scalar> &
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const c10::optional<at::Scalar> &, const c10::optional<at::Scalar> &, at::Tensor &)
+    type: const ::std::optional<at::Scalar> &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const ::std::optional<at::Scalar> &, const ::std::optional<at::Scalar> &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -14627,17 +15524,17 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: min
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: max
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -14685,14 +15582,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: min
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: max
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, at::Tensor &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -14704,13 +15601,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: min
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: max
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -15047,7 +15944,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: MemoryFormat::Contiguous
+    default: c10::MemoryFormat::Contiguous
     dynamic_type: at::MemoryFormat
     is_nullable: false
     kwarg_only: true
@@ -15061,7 +15958,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: MemoryFormat::Contiguous
+    default: c10::MemoryFormat::Contiguous
     dynamic_type: at::MemoryFormat
     is_nullable: false
     kwarg_only: true
@@ -15088,7 +15985,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::convolution(Tensor input, Tensor weight, Tensor? bias, int[] stride, SymInt[] padding, int[] dilation, bool transposed, SymInt[] output_padding, int groups) -> Tensor
+  schema_string: aten::convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -15104,7 +16001,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -15135,7 +16032,7 @@
     is_nullable: false
     name: groups
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, at::IntArrayRef, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, at::IntArrayRef, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -15151,7 +16048,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -15203,7 +16100,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::convolution_backward(Tensor grad_output, Tensor input, Tensor weight, SymInt[]? bias_sizes, int[] stride, SymInt[] padding, int[] dilation, bool transposed, SymInt[] output_padding, int groups, bool[3] output_mask) -> (Tensor, Tensor, Tensor)
+  schema_string: aten::convolution_backward(Tensor grad_output, Tensor input, Tensor weight, SymInt[]? bias_sizes, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups, bool[3] output_mask) -> (Tensor, Tensor, Tensor)
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -15344,7 +16241,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::convolution_overrideable(Tensor input, Tensor weight, Tensor? bias, int[] stride, int[] padding, int[] dilation, bool transposed, int[] output_padding, int groups) -> Tensor
+  schema_string: aten::convolution_overrideable(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -15360,7 +16257,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -15391,7 +16288,7 @@
     is_nullable: false
     name: groups
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, at::IntArrayRef, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, at::IntArrayRef, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -15407,7 +16304,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -15459,7 +16356,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::convolution_backward_overrideable(Tensor grad_output, Tensor input, Tensor weight, int[] stride, int[] padding, int[] dilation, bool transposed, int[] output_padding, int groups, bool[3] output_mask) -> (Tensor grad_input, Tensor grad_weight, Tensor grad_bias)
+  schema_string: aten::convolution_backward_overrideable(Tensor grad_output, Tensor input, Tensor weight, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups, bool[3] output_mask) -> (Tensor grad_input, Tensor grad_weight, Tensor grad_bias)
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -15593,7 +16490,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_convolution(Tensor input, Tensor weight, Tensor? bias, int[] stride, SymInt[] padding, int[] dilation, bool transposed, SymInt[] output_padding, int groups, bool benchmark, bool deterministic, bool cudnn_enabled, bool allow_tf32) -> Tensor
+  schema_string: aten::_convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups, bool benchmark, bool deterministic, bool cudnn_enabled, bool allow_tf32) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -15609,7 +16506,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -15660,7 +16557,7 @@
     is_nullable: false
     name: allow_tf32
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, at::IntArrayRef, int64_t, bool, bool, bool, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, at::IntArrayRef, int64_t, bool, bool, bool, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -15676,7 +16573,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -15748,7 +16645,7 @@
   overload_name: deprecated
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_convolution.deprecated(Tensor input, Tensor weight, Tensor? bias, int[] stride, int[] padding, int[] dilation, bool transposed, int[] output_padding, int groups, bool benchmark, bool deterministic, bool cudnn_enabled) -> Tensor
+  schema_string: aten::_convolution.deprecated(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, int[] output_padding, SymInt groups, bool benchmark, bool deterministic, bool cudnn_enabled) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -15764,7 +16661,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -15810,7 +16707,7 @@
     is_nullable: false
     name: cudnn_enabled
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, at::IntArrayRef, int64_t, bool, bool, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, at::IntArrayRef, int64_t, bool, bool, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -15826,7 +16723,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -15893,7 +16790,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_convolution_mode(Tensor input, Tensor weight, Tensor? bias, int[] stride, str padding, int[] dilation, int groups) -> Tensor
+  schema_string: aten::_convolution_mode(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, str padding, SymInt[] dilation, SymInt groups) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -15909,7 +16806,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -15930,7 +16827,7 @@
     is_nullable: false
     name: groups
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, c10::string_view, at::IntArrayRef, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, c10::string_view, at::IntArrayRef, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -15946,7 +16843,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -15988,23 +16885,23 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_convolution_double_backward(Tensor? ggI, Tensor? ggW, Tensor? ggb, Tensor gO, Tensor weight, Tensor self, int[] stride, SymInt[] padding, int[] dilation, bool transposed, SymInt[] output_padding, int groups, bool[3] output_mask) -> (Tensor, Tensor, Tensor)
+  schema_string: aten::_convolution_double_backward(Tensor? ggI, Tensor? ggW, Tensor? ggb, Tensor gO, Tensor weight, Tensor self, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups, bool[3] output_mask) -> (Tensor, Tensor, Tensor)
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: ggI
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: ggW
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: ggb
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -16055,23 +16952,23 @@
     is_nullable: false
     name: output_mask
     type: ::std::array<bool,3>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, at::IntArrayRef, int64_t, ::std::array<bool,3>)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, at::IntArrayRef, int64_t, ::std::array<bool,3>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: ggI
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: ggW
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: ggb
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -16149,7 +17046,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::conv1d(Tensor input, Tensor weight, Tensor? bias=None, int[1] stride=1, int[1] padding=0, int[1] dilation=1, int groups=1) -> Tensor
+  schema_string: aten::conv1d(Tensor input, Tensor weight, Tensor? bias=None, SymInt[1] stride=1, SymInt[1] padding=0, SymInt[1] dilation=1, SymInt groups=1) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -16166,7 +17063,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -16194,7 +17091,7 @@
     is_nullable: false
     name: groups
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -16211,7 +17108,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -16260,7 +17157,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::conv2d(Tensor input, Tensor weight, Tensor? bias=None, int[2] stride=1, int[2] padding=0, int[2] dilation=1, int groups=1) -> Tensor
+  schema_string: aten::conv2d(Tensor input, Tensor weight, Tensor? bias=None, SymInt[2] stride=1, SymInt[2] padding=0, SymInt[2] dilation=1, SymInt groups=1) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -16277,7 +17174,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -16305,7 +17202,7 @@
     is_nullable: false
     name: groups
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -16322,7 +17219,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -16371,7 +17268,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::conv3d(Tensor input, Tensor weight, Tensor? bias=None, int[3] stride=1, int[3] padding=0, int[3] dilation=1, int groups=1) -> Tensor
+  schema_string: aten::conv3d(Tensor input, Tensor weight, Tensor? bias=None, SymInt[3] stride=1, SymInt[3] padding=0, SymInt[3] dilation=1, SymInt groups=1) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -16388,7 +17285,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -16416,7 +17313,7 @@
     is_nullable: false
     name: groups
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -16433,7 +17330,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -16482,7 +17379,7 @@
   overload_name: padding
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::conv1d.padding(Tensor input, Tensor weight, Tensor? bias=None, int[1] stride=1, str padding="valid", int[1] dilation=1, int groups=1) -> Tensor
+  schema_string: aten::conv1d.padding(Tensor input, Tensor weight, Tensor? bias=None, SymInt[1] stride=1, str padding="valid", SymInt[1] dilation=1, SymInt groups=1) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -16499,7 +17396,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -16526,7 +17423,7 @@
     is_nullable: false
     name: groups
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, c10::string_view, at::IntArrayRef, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, c10::string_view, at::IntArrayRef, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -16543,7 +17440,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -16591,7 +17488,7 @@
   overload_name: padding
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::conv2d.padding(Tensor input, Tensor weight, Tensor? bias=None, int[2] stride=1, str padding="valid", int[2] dilation=1, int groups=1) -> Tensor
+  schema_string: aten::conv2d.padding(Tensor input, Tensor weight, Tensor? bias=None, SymInt[2] stride=1, str padding="valid", SymInt[2] dilation=1, SymInt groups=1) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -16608,7 +17505,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -16635,7 +17532,7 @@
     is_nullable: false
     name: groups
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, c10::string_view, at::IntArrayRef, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, c10::string_view, at::IntArrayRef, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -16652,7 +17549,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -16700,7 +17597,7 @@
   overload_name: padding
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::conv3d.padding(Tensor input, Tensor weight, Tensor? bias=None, int[3] stride=1, str padding="valid", int[3] dilation=1, int groups=1) -> Tensor
+  schema_string: aten::conv3d.padding(Tensor input, Tensor weight, Tensor? bias=None, SymInt[3] stride=1, str padding="valid", SymInt[3] dilation=1, SymInt groups=1) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -16717,7 +17614,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -16744,7 +17641,7 @@
     is_nullable: false
     name: groups
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, c10::string_view, at::IntArrayRef, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, c10::string_view, at::IntArrayRef, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -16761,7 +17658,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -16957,7 +17854,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::conv_transpose1d(Tensor input, Tensor weight, Tensor? bias=None, int[1] stride=1, int[1] padding=0, int[1] output_padding=0, int groups=1, int[1] dilation=1) -> Tensor
+  schema_string: aten::conv_transpose1d(Tensor input, Tensor weight, Tensor? bias=None, SymInt[1] stride=1, SymInt[1] padding=0, SymInt[1] output_padding=0, SymInt groups=1, SymInt[1] dilation=1) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -16974,7 +17871,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -17009,7 +17906,7 @@
     name: dilation
     size: 1
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, at::IntArrayRef)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, at::IntArrayRef)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -17026,7 +17923,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -17082,7 +17979,7 @@
   overload_name: input
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::conv_transpose2d.input(Tensor input, Tensor weight, Tensor? bias=None, int[2] stride=1, int[2] padding=0, int[2] output_padding=0, int groups=1, int[2] dilation=1) -> Tensor
+  schema_string: aten::conv_transpose2d.input(Tensor input, Tensor weight, Tensor? bias=None, SymInt[2] stride=1, SymInt[2] padding=0, SymInt[2] output_padding=0, SymInt groups=1, SymInt[2] dilation=1) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -17099,7 +17996,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -17134,7 +18031,7 @@
     name: dilation
     size: 2
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, at::IntArrayRef)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, at::IntArrayRef)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -17151,7 +18048,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -17207,7 +18104,7 @@
   overload_name: input
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::conv_transpose3d.input(Tensor input, Tensor weight, Tensor? bias=None, int[3] stride=1, int[3] padding=0, int[3] output_padding=0, int groups=1, int[3] dilation=1) -> Tensor
+  schema_string: aten::conv_transpose3d.input(Tensor input, Tensor weight, Tensor? bias=None, SymInt[3] stride=1, SymInt[3] padding=0, SymInt[3] output_padding=0, SymInt groups=1, SymInt[3] dilation=1) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -17224,7 +18121,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -17259,7 +18156,7 @@
     name: dilation
     size: 3
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, at::IntArrayRef)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, at::IntArrayRef)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -17276,7 +18173,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -17923,12 +18820,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -17936,11 +18833,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - Tensor
@@ -17983,15 +18880,15 @@
     is_nullable: true
     kwarg_only: true
     name: fweights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: aweights
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -18011,14 +18908,14 @@
     is_nullable: true
     kwarg_only: true
     name: fweights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: aweights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - Tensor
@@ -18245,17 +19142,17 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -18271,7 +19168,7 @@
     is_nullable: false
     name: epsilon
     type: double
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, bool, double, double)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, bool, double, double)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -18287,17 +19184,17 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -18364,22 +19261,22 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: double
     is_nullable: false
@@ -18390,7 +19287,7 @@
     is_nullable: false
     name: reserveSpace
     type: const at::Tensor &
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, double, const at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, double, const at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -18411,22 +19308,22 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: double
     is_nullable: false
@@ -18464,7 +19361,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::cudnn_convolution(Tensor self, Tensor weight, int[] padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic, bool allow_tf32) -> Tensor
+  schema_string: aten::cudnn_convolution(Tensor self, Tensor weight, SymInt[] padding, SymInt[] stride, SymInt[] dilation, SymInt groups, bool benchmark, bool deterministic, bool allow_tf32) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -18574,13 +19471,20 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: cudnn_convolution_transpose
-  operator_name: cudnn_convolution_transpose
-  overload_name: ''
+- name: cudnn_convolution_out
+  operator_name: cudnn_convolution
+  overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::cudnn_convolution_transpose(Tensor self, Tensor weight, int[] padding, int[] output_padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic, bool allow_tf32) -> Tensor
+  schema_string: aten::cudnn_convolution.out(Tensor self, Tensor weight, SymInt[] padding, SymInt[] stride, SymInt[] dilation, SymInt groups, bool benchmark, bool deterministic, bool allow_tf32, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -18596,11 +19500,6 @@
     is_nullable: false
     name: padding
     type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: output_padding
-    type: at::IntArrayRef
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -18631,7 +19530,7 @@
     is_nullable: false
     name: allow_tf32
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, bool, bool, bool)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, bool, bool, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -18648,11 +19547,6 @@
     is_nullable: false
     name: padding
     type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: output_padding
-    type: at::IntArrayRef
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -18683,6 +19577,13 @@
     is_nullable: false
     name: allow_tf32
     type: bool
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
   method_of:
   - Type
   - namespace
@@ -18690,8 +19591,8 @@
   python_module: ''
   returns:
   - dynamic_type: at::Tensor
-    name: result
-    type: at::Tensor
+    name: out
+    type: at::Tensor &
   inplace: false
   is_factory_method: false
   abstract: true
@@ -18699,12 +19600,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _mps_convolution_transpose
-  operator_name: _mps_convolution_transpose
+- name: cudnn_convolution_transpose
+  operator_name: cudnn_convolution_transpose
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_mps_convolution_transpose(Tensor self, Tensor weight, int[] padding, int[] output_padding, int[] stride, int[] dilation, int groups) -> Tensor
+  schema_string: aten::cudnn_convolution_transpose(Tensor self, Tensor weight, SymInt[] padding, SymInt[] output_padding, SymInt[] stride, SymInt[] dilation, SymInt groups, bool benchmark, bool deterministic, bool allow_tf32) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -18741,76 +19642,201 @@
     is_nullable: false
     name: groups
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t)
-  schema_order_arguments:
   - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: self
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: weight
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: padding
-    type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: output_padding
-    type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: at::IntArrayRef
+    dynamic_type: bool
     is_nullable: false
-    name: stride
-    type: at::IntArrayRef
+    name: benchmark
+    type: bool
   - annotation: null
-    dynamic_type: at::IntArrayRef
+    dynamic_type: bool
     is_nullable: false
-    name: dilation
-    type: at::IntArrayRef
+    name: deterministic
+    type: bool
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: bool
     is_nullable: false
-    name: groups
-    type: int64_t
-  method_of:
-  - Type
-  - namespace
-  mode: native
-  python_module: ''
-  returns:
-  - dynamic_type: at::Tensor
-    name: result
-    type: at::Tensor
-  inplace: false
-  is_factory_method: false
-  abstract: true
-  device_guard: true
-  with_gil: false
-  deprecated: false
-  has_math_kernel: false
-- name: mps_convolution_transpose_backward
-  operator_name: mps_convolution_transpose_backward
-  overload_name: ''
-  manual_kernel_registration: false
-  category_override: ''
-  schema_string: aten::mps_convolution_transpose_backward(Tensor self, Tensor grad_output, Tensor weight, int[] padding, int[] output_padding, int[] stride, int[] dilation, int groups, bool[2] output_mask) -> (Tensor, Tensor)
-  arguments:
+    name: allow_tf32
+    type: bool
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, bool, bool, bool)
+  schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
     name: self
     type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: grad_output
-    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: weight
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: padding
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: output_padding
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: stride
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: dilation
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: groups
+    type: int64_t
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    name: benchmark
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    name: deterministic
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    name: allow_tf32
+    type: bool
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _mps_convolution_transpose
+  operator_name: _mps_convolution_transpose
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_mps_convolution_transpose(Tensor self, Tensor weight, SymInt[] padding, SymInt[] output_padding, SymInt[] stride, SymInt[] dilation, SymInt groups) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: weight
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: padding
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: output_padding
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: stride
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: dilation
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: groups
+    type: int64_t
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: weight
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: padding
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: output_padding
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: stride
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: dilation
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: groups
+    type: int64_t
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: mps_convolution_transpose_backward
+  operator_name: mps_convolution_transpose_backward
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::mps_convolution_transpose_backward(Tensor self, Tensor grad_output, Tensor weight, SymInt[] padding, SymInt[] output_padding, SymInt[] stride, SymInt[] dilation, SymInt groups, bool[2] output_mask) -> (Tensor, Tensor)
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: grad_output
+    type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -18917,7 +19943,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::cudnn_convolution_relu(Tensor self, Tensor weight, Tensor? bias, int[] stride, int[] padding, int[] dilation, int groups) -> Tensor
+  schema_string: aten::cudnn_convolution_relu(Tensor self, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, SymInt groups) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -18933,7 +19959,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -18954,7 +19980,7 @@
     is_nullable: false
     name: groups
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -18970,7 +19996,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -19012,7 +20038,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::cudnn_convolution_add_relu(Tensor self, Tensor weight, Tensor z, Scalar? alpha, Tensor? bias, int[] stride, int[] padding, int[] dilation, int groups) -> Tensor
+  schema_string: aten::cudnn_convolution_add_relu(Tensor self, Tensor weight, Tensor z, Scalar? alpha, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, SymInt groups) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -19033,12 +20059,12 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: alpha
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -19059,7 +20085,7 @@
     is_nullable: false
     name: groups
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Scalar> &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Scalar> &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -19080,12 +20106,12 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: alpha
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -19967,13 +20993,13 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -19986,12 +21012,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - Tensor
@@ -20027,13 +21053,13 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, int64_t, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, int64_t, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -20046,12 +21072,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - Tensor
@@ -20093,13 +21119,13 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, c10::optional<at::ScalarType>, at::Tensor &)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, ::std::optional<at::ScalarType>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -20112,12 +21138,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -20159,13 +21185,13 @@
     name: dim
     type: at::Dimname
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::Dimname, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::Dimname, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -20178,12 +21204,12 @@
     name: dim
     type: at::Dimname
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - Tensor
@@ -20219,13 +21245,13 @@
     name: dim
     type: at::Dimname
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, at::Dimname, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, at::Dimname, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -20238,12 +21264,12 @@
     name: dim
     type: at::Dimname
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - Tensor
@@ -20285,13 +21311,13 @@
     name: dim
     type: at::Dimname
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::Dimname, c10::optional<at::ScalarType>, at::Tensor &)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::Dimname, ::std::optional<at::ScalarType>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -20304,12 +21330,12 @@
     name: dim
     type: at::Dimname
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -20416,13 +21442,13 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -20435,12 +21461,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - Tensor
@@ -20476,13 +21502,13 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, int64_t, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, int64_t, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -20495,12 +21521,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - Tensor
@@ -20542,13 +21568,13 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, c10::optional<at::ScalarType>, at::Tensor &)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, ::std::optional<at::ScalarType>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -20561,12 +21587,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -20608,13 +21634,13 @@
     name: dim
     type: at::Dimname
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::Dimname, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::Dimname, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -20627,12 +21653,12 @@
     name: dim
     type: at::Dimname
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - Tensor
@@ -20668,13 +21694,13 @@
     name: dim
     type: at::Dimname
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, at::Dimname, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, at::Dimname, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -20687,12 +21713,12 @@
     name: dim
     type: at::Dimname
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - Tensor
@@ -20734,13 +21760,13 @@
     name: dim
     type: at::Dimname
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::Dimname, c10::optional<at::ScalarType>, at::Tensor &)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::Dimname, ::std::optional<at::ScalarType>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -20753,12 +21779,12 @@
     name: dim
     type: at::Dimname
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -22040,14 +23066,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: prepend
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: append
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, int64_t, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, int64_t, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -22071,13 +23097,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: prepend
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: append
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - Tensor
@@ -22131,14 +23157,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: prepend
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: append
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, int64_t, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, at::Tensor &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, int64_t, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -22162,13 +23188,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: prepend
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: append
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -22205,19 +23231,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: spacing
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     kwarg_only: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: 1
     dynamic_type: int64_t
@@ -22225,7 +23251,7 @@
     kwarg_only: true
     name: edge_order
     type: int64_t
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (const at::Tensor &, const c10::optional<at::Scalar> &, c10::optional<int64_t>, int64_t)
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (const at::Tensor &, const ::std::optional<at::Scalar> &, ::std::optional<int64_t>, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -22233,19 +23259,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: spacing
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     kwarg_only: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: 1
     dynamic_type: int64_t
@@ -22422,12 +23448,12 @@
     name: spacing
     type: at::ArrayRef<at::Scalar>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     kwarg_only: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: 1
     dynamic_type: int64_t
@@ -22435,7 +23461,7 @@
     kwarg_only: true
     name: edge_order
     type: int64_t
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (const at::Tensor &, at::ArrayRef<at::Scalar>, c10::optional<int64_t>, int64_t)
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (const at::Tensor &, at::ArrayRef<at::Scalar>, ::std::optional<int64_t>, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -22449,12 +23475,12 @@
     name: spacing
     type: at::ArrayRef<at::Scalar>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     kwarg_only: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: 1
     dynamic_type: int64_t
@@ -22570,12 +23596,12 @@
     name: spacing
     type: at::TensorList
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     kwarg_only: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: 1
     dynamic_type: int64_t
@@ -22583,7 +23609,7 @@
     kwarg_only: true
     name: edge_order
     type: int64_t
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (const at::Tensor &, at::TensorList, c10::optional<int64_t>, int64_t)
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (const at::Tensor &, at::TensorList, ::std::optional<int64_t>, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -22597,12 +23623,12 @@
     name: spacing
     type: at::TensorList
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     kwarg_only: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: 1
     dynamic_type: int64_t
@@ -22871,8 +23897,8 @@
     is_nullable: true
     kwarg_only: true
     name: rounding_mode
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -22889,7 +23915,7 @@
     is_nullable: true
     kwarg_only: true
     name: rounding_mode
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - Tensor
@@ -22929,8 +23955,8 @@
     is_nullable: true
     kwarg_only: true
     name: rounding_mode
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const at::Tensor &, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const at::Tensor &, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -22947,7 +23973,7 @@
     is_nullable: true
     kwarg_only: true
     name: rounding_mode
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - Tensor
@@ -22993,8 +24019,8 @@
     is_nullable: true
     kwarg_only: true
     name: rounding_mode
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, c10::optional<c10::string_view>, at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, ::std::optional<c10::string_view>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -23011,7 +24037,7 @@
     is_nullable: true
     kwarg_only: true
     name: rounding_mode
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -23148,8 +24174,8 @@
     is_nullable: true
     kwarg_only: true
     name: rounding_mode
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Scalar &, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Scalar &, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -23166,7 +24192,7 @@
     is_nullable: true
     kwarg_only: true
     name: rounding_mode
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - Tensor
@@ -23206,8 +24232,8 @@
     is_nullable: true
     kwarg_only: true
     name: rounding_mode
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const at::Scalar &, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const at::Scalar &, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -23224,7 +24250,7 @@
     is_nullable: true
     kwarg_only: true
     name: rounding_mode
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - Tensor
@@ -23504,8 +24530,8 @@
     is_nullable: true
     kwarg_only: true
     name: rounding_mode
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -23522,7 +24548,7 @@
     is_nullable: true
     kwarg_only: true
     name: rounding_mode
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - Tensor
@@ -23562,8 +24588,8 @@
     is_nullable: true
     kwarg_only: true
     name: rounding_mode
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const at::Tensor &, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const at::Tensor &, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -23580,7 +24606,7 @@
     is_nullable: true
     kwarg_only: true
     name: rounding_mode
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - Tensor
@@ -23626,8 +24652,8 @@
     is_nullable: true
     kwarg_only: true
     name: rounding_mode
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, c10::optional<c10::string_view>, at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, ::std::optional<c10::string_view>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -23644,7 +24670,7 @@
     is_nullable: true
     kwarg_only: true
     name: rounding_mode
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -23690,8 +24716,8 @@
     is_nullable: true
     kwarg_only: true
     name: rounding_mode
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Scalar &, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Scalar &, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -23708,7 +24734,7 @@
     is_nullable: true
     kwarg_only: true
     name: rounding_mode
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - Tensor
@@ -23748,8 +24774,8 @@
     is_nullable: true
     kwarg_only: true
     name: rounding_mode
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const at::Scalar &, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const at::Scalar &, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -23766,7 +24792,7 @@
     is_nullable: true
     kwarg_only: true
     name: rounding_mode
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - Tensor
@@ -24252,7 +25278,7 @@
     name: tensors
     type: at::TensorList
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     kwarg_only: true
@@ -24271,7 +25297,7 @@
     name: tensors
     type: at::TensorList
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     kwarg_only: true
@@ -24719,7 +25745,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: per_sample_weights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -24732,7 +25758,7 @@
     is_nullable: false
     name: padding_idx
     type: int64_t
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, bool, int64_t, bool, const c10::optional<at::Tensor> &, bool, int64_t)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, bool, int64_t, bool, const ::std::optional<at::Tensor> &, bool, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -24772,7 +25798,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: per_sample_weights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -24997,14 +26023,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: per_sample_weights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
     name: include_last_offset
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, bool, int64_t, bool, const c10::optional<at::Tensor> &, bool)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, bool, int64_t, bool, const ::std::optional<at::Tensor> &, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -25044,7 +26070,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: per_sample_weights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -25117,7 +26143,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: per_sample_weights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -25127,8 +26153,8 @@
     dynamic_type: int64_t
     is_nullable: true
     name: padding_idx
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, bool, int64_t, bool, const c10::optional<at::Tensor> &, bool, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, bool, int64_t, bool, const ::std::optional<at::Tensor> &, bool, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -25164,7 +26190,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: per_sample_weights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -25174,7 +26200,7 @@
     dynamic_type: int64_t
     is_nullable: true
     name: padding_idx
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - namespace
@@ -25245,7 +26271,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: per_sample_weights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -25258,7 +26284,7 @@
     is_nullable: false
     name: padding_idx
     type: int64_t
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, bool, int64_t, bool, const c10::optional<at::Tensor> &, bool, int64_t)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, bool, int64_t, bool, const ::std::optional<at::Tensor> &, bool, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -25298,7 +26324,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: per_sample_weights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -25397,14 +26423,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: per_sample_weights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: -1
     dynamic_type: int64_t
     is_nullable: false
     name: padding_idx
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, bool, int64_t, bool, const c10::optional<at::Tensor> &, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, bool, int64_t, bool, const ::std::optional<at::Tensor> &, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -25460,7 +26486,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: per_sample_weights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -25478,11 +26504,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: _embedding_bag_sparse_backward
   operator_name: _embedding_bag_sparse_backward
   overload_name: ''
@@ -25534,14 +26560,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: per_sample_weights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: -1
     dynamic_type: int64_t
     is_nullable: false
     name: padding_idx
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, bool, int64_t, const c10::optional<at::Tensor> &, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, bool, int64_t, const ::std::optional<at::Tensor> &, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -25587,7 +26613,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: per_sample_weights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -25661,14 +26687,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: per_sample_weights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: -1
     dynamic_type: int64_t
     is_nullable: false
     name: padding_idx
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, bool, int64_t, const c10::optional<at::Tensor> &, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, bool, int64_t, const ::std::optional<at::Tensor> &, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -25714,7 +26740,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: per_sample_weights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -25851,7 +26877,7 @@
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - annotation: null
     default: '{}'
     dynamic_type: at::TensorOptions
@@ -25860,13 +26886,13 @@
     name: options
     type: at::TensorOptions
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, c10::optional<at::DimnameList>, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>, c10::optional<at::MemoryFormat>)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, ::std::optional<at::DimnameList>, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>, ::std::optional<at::MemoryFormat>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -25878,42 +26904,42 @@
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   method_of:
   - Type
   - namespace
@@ -25950,13 +26976,13 @@
     name: options
     type: at::TensorOptions
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>, c10::optional<at::MemoryFormat>)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>, ::std::optional<at::MemoryFormat>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -25964,40 +26990,120 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: true
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: empty_permuted
+  operator_name: empty_permuted
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::empty_permuted(SymInt[] size, int[] physical_layout, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: size
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: physical_layout
+    type: at::IntArrayRef
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::TensorOptions
+    is_nullable: false
+    kwarg_only: true
+    name: options
+    type: at::TensorOptions
+  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: size
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: physical_layout
+    type: at::IntArrayRef
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Layout
+    is_nullable: true
+    kwarg_only: true
+    name: layout
+    type: ::std::optional<at::Layout>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Device
+    is_nullable: true
+    kwarg_only: true
+    name: device
+    type: ::std::optional<at::Device>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    kwarg_only: true
+    name: pin_memory
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -26038,7 +27144,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -26051,33 +27157,33 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - Tensor
@@ -26123,7 +27229,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -26141,33 +27247,33 @@
     name: stride
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - Tensor
@@ -26213,7 +27319,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, const at::Scalar &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, const at::Scalar &, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -26231,33 +27337,33 @@
     name: fill_value
     type: const at::Scalar &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - Tensor
@@ -26298,7 +27404,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -26311,33 +27417,33 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - Tensor
@@ -26378,7 +27484,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -26391,33 +27497,33 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - Tensor
@@ -26439,7 +27545,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_empty_affine_quantized(int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, float scale=1, int zero_point=0, MemoryFormat? memory_format=contiguous_format) -> Tensor
+  schema_string: aten::_empty_affine_quantized(SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, float scale=1, int zero_point=0, MemoryFormat? memory_format=contiguous_format) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -26468,13 +27574,13 @@
     name: zero_point
     type: int64_t
   - annotation: null
-    default: MemoryFormat::Contiguous
+    default: c10::MemoryFormat::Contiguous
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>, double, int64_t, c10::optional<at::MemoryFormat>)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>, double, int64_t, ::std::optional<at::MemoryFormat>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -26482,33 +27588,33 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
     default: 1
     dynamic_type: double
@@ -26524,12 +27630,12 @@
     name: zero_point
     type: int64_t
   - annotation: null
-    default: MemoryFormat::Contiguous
+    default: c10::MemoryFormat::Contiguous
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   method_of:
   - Type
   - namespace
@@ -26551,7 +27657,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: factory
-  schema_string: aten::_empty_per_channel_affine_quantized(int[] size, *, Tensor scales, Tensor zero_points, int axis, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=contiguous_format) -> Tensor
+  schema_string: aten::_empty_per_channel_affine_quantized(SymInt[] size, *, Tensor scales, Tensor zero_points, int axis, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=contiguous_format) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -26584,13 +27690,13 @@
     name: options
     type: at::TensorOptions
   - annotation: null
-    default: MemoryFormat::Contiguous
+    default: c10::MemoryFormat::Contiguous
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, const at::Tensor &, const at::Tensor &, int64_t, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>, c10::optional<at::MemoryFormat>)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, const at::Tensor &, const at::Tensor &, int64_t, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>, ::std::optional<at::MemoryFormat>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -26616,40 +27722,40 @@
     name: axis
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
-    default: MemoryFormat::Contiguous
+    default: c10::MemoryFormat::Contiguous
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   method_of:
   - Type
   - namespace
@@ -26684,13 +27790,13 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: const at::Tensor & (const at::Tensor &, at::IntArrayRef, c10::optional<at::MemoryFormat>)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: const at::Tensor & (const at::Tensor &, at::IntArrayRef, ::std::optional<at::MemoryFormat>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -26703,12 +27809,12 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   method_of:
   - Type
   - Tensor
@@ -26730,7 +27836,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_resize_output_(Tensor(a!) self, int[] size, Device device) -> Tensor(a!)
+  schema_string: aten::_resize_output_(Tensor(a!) self, SymInt[] size, Device device) -> Tensor(a!)
   arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -26805,13 +27911,13 @@
     name: options
     type: at::TensorOptions
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, const at::Tensor &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>, c10::optional<at::MemoryFormat>)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, const at::Tensor &, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>, ::std::optional<at::MemoryFormat>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -26824,40 +27930,40 @@
     name: qtensor
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   method_of:
   - Type
   - namespace
@@ -26894,13 +28000,13 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, c10::optional<at::MemoryFormat>, at::Tensor &)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, ::std::optional<at::MemoryFormat>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -26908,12 +28014,12 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -26957,13 +28063,13 @@
     name: options
     type: at::TensorOptions
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>, c10::optional<at::MemoryFormat>)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>, ::std::optional<at::MemoryFormat>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -26971,40 +28077,40 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   method_of:
   - Type
   - namespace
@@ -27045,7 +28151,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -27058,33 +28164,33 @@
     name: stride
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -27815,7 +28921,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::eye(int n, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
+  schema_string: aten::eye(SymInt n, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -27829,7 +28935,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -27837,33 +28943,33 @@
     name: n
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -27885,7 +28991,7 @@
   overload_name: m
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::eye.m(int n, int m, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
+  schema_string: aten::eye.m(SymInt n, SymInt m, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -27904,7 +29010,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, int64_t, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, int64_t, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -27917,33 +29023,33 @@
     name: m
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -27965,7 +29071,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::eye.out(int n, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::eye.out(SymInt n, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -28014,7 +29120,7 @@
   overload_name: m_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::eye.m_out(int n, int m, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::eye.m_out(SymInt n, SymInt m, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -28321,7 +29427,7 @@
   overload_name: int
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::unflatten.int(Tensor(a) self, int dim, int[] sizes) -> Tensor(a)
+  schema_string: aten::unflatten.int(Tensor(a) self, int dim, SymInt[] sizes) -> Tensor(a)
   arguments:
   - annotation: a
     dynamic_type: at::Tensor
@@ -28377,7 +29483,7 @@
   overload_name: Dimname
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::unflatten.Dimname(Tensor(a) self, Dimname dim, int[] sizes, Dimname[] names) -> Tensor(a)
+  schema_string: aten::unflatten.Dimname(Tensor(a) self, Dimname dim, SymInt[] sizes, Dimname[] names) -> Tensor(a)
   arguments:
   - annotation: a
     dynamic_type: at::Tensor
@@ -28932,11 +30038,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: floor_divide_
   operator_name: floor_divide_
   overload_name: Scalar
@@ -28977,11 +30083,11 @@
     type: at::Tensor &
   inplace: true
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: frac
   operator_name: frac
   overload_name: ''
@@ -29125,7 +30231,7 @@
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - annotation: null
     default: '{}'
     dynamic_type: at::TensorOptions
@@ -29133,7 +30239,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, const at::Scalar &, c10::optional<at::DimnameList>, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, const at::Scalar &, ::std::optional<at::DimnameList>, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -29150,35 +30256,35 @@
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -29219,7 +30325,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, const at::Scalar &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, const at::Scalar &, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -29232,33 +30338,33 @@
     name: fill_value
     type: const at::Scalar &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -29359,13 +30465,13 @@
     name: options
     type: at::TensorOptions
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Scalar &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>, c10::optional<at::MemoryFormat>)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Scalar &, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>, ::std::optional<at::MemoryFormat>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -29378,40 +30484,40 @@
     name: fill_value
     type: const at::Scalar &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   method_of:
   - Type
   - namespace
@@ -29441,17 +30547,17 @@
     name: filename
     type: c10::string_view
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     name: shared
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
     default: 0
     dynamic_type: int64_t
     is_nullable: true
     name: size
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: '{}'
     dynamic_type: at::TensorOptions
@@ -29459,7 +30565,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (c10::string_view, c10::optional<bool>, c10::optional<int64_t>, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (c10::string_view, ::std::optional<bool>, ::std::optional<int64_t>, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: c10::string_view
@@ -29467,45 +30573,45 @@
     name: filename
     type: c10::string_view
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     name: shared
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
     default: 0
     dynamic_type: int64_t
     is_nullable: true
     name: size
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -30427,7 +31533,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -30435,33 +31541,33 @@
     name: window_length
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -30502,7 +31608,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, bool, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, bool, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -30515,33 +31621,33 @@
     name: periodic
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -30577,7 +31683,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -30585,33 +31691,33 @@
     name: window_length
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -30652,7 +31758,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, bool, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, bool, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -30665,33 +31771,33 @@
     name: periodic
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -30737,7 +31843,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, bool, double, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, bool, double, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -30755,33 +31861,33 @@
     name: alpha
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -30832,7 +31938,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, bool, double, double, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, bool, double, double, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -30855,33 +31961,33 @@
     name: beta
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -30917,7 +32023,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -30925,33 +32031,33 @@
     name: window_length
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -30992,7 +32098,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, bool, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, bool, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -31005,33 +32111,33 @@
     name: periodic
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -31077,7 +32183,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, bool, double, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, bool, double, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -31095,33 +32201,33 @@
     name: beta
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -31229,13 +32335,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1.0e-05
     dynamic_type: double
@@ -31248,7 +32354,7 @@
     is_nullable: false
     name: cudnn_enabled
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, double, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, double, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -31265,13 +32371,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1.0e-05
     dynamic_type: double
@@ -31316,12 +32422,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -31347,7 +32453,7 @@
     is_nullable: false
     name: eps
     type: double
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, int64_t, int64_t, int64_t, int64_t, double)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, int64_t, int64_t, int64_t, int64_t, double)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -31358,12 +32464,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -31442,7 +32548,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -31468,7 +32574,7 @@
     is_nullable: false
     name: output_mask
     type: ::std::array<bool,3>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, int64_t, int64_t, int64_t, int64_t, ::std::array<bool,3>)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, int64_t, int64_t, int64_t, ::std::array<bool,3>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -31494,7 +32600,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -31691,7 +32797,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_fft_c2r(Tensor self, int[] dim, int normalization, int last_dim_size) -> Tensor
+  schema_string: aten::_fft_c2r(Tensor self, int[] dim, int normalization, SymInt last_dim_size) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -31756,7 +32862,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_fft_c2r.out(Tensor self, int[] dim, int normalization, int last_dim_size, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::_fft_c2r.out(Tensor self, int[] dim, int normalization, SymInt last_dim_size, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -32061,20 +33167,20 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_cufft_get_plan_cache_size(int device_index) -> int
+  schema_string: aten::_cufft_get_plan_cache_size(DeviceIndex device_index) -> int
   arguments:
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: at::DeviceIndex
     is_nullable: false
     name: device_index
-    type: int64_t
-  schema_order_cpp_signature: int64_t (int64_t)
+    type: at::DeviceIndex
+  schema_order_cpp_signature: int64_t (at::DeviceIndex)
   schema_order_arguments:
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: at::DeviceIndex
     is_nullable: false
     name: device_index
-    type: int64_t
+    type: at::DeviceIndex
   method_of:
   - Type
   - namespace
@@ -32096,20 +33202,20 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_cufft_get_plan_cache_max_size(int device_index) -> int
+  schema_string: aten::_cufft_get_plan_cache_max_size(DeviceIndex device_index) -> int
   arguments:
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: at::DeviceIndex
     is_nullable: false
     name: device_index
-    type: int64_t
-  schema_order_cpp_signature: int64_t (int64_t)
+    type: at::DeviceIndex
+  schema_order_cpp_signature: int64_t (at::DeviceIndex)
   schema_order_arguments:
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: at::DeviceIndex
     is_nullable: false
     name: device_index
-    type: int64_t
+    type: at::DeviceIndex
   method_of:
   - Type
   - namespace
@@ -32131,25 +33237,25 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_cufft_set_plan_cache_max_size(int device_index, int max_size) -> ()
+  schema_string: aten::_cufft_set_plan_cache_max_size(DeviceIndex device_index, int max_size) -> ()
   arguments:
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: at::DeviceIndex
     is_nullable: false
     name: device_index
-    type: int64_t
+    type: at::DeviceIndex
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
     name: max_size
     type: int64_t
-  schema_order_cpp_signature: void (int64_t, int64_t)
+  schema_order_cpp_signature: void (at::DeviceIndex, int64_t)
   schema_order_arguments:
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: at::DeviceIndex
     is_nullable: false
     name: device_index
-    type: int64_t
+    type: at::DeviceIndex
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -32173,20 +33279,20 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_cufft_clear_plan_cache(int device_index) -> ()
+  schema_string: aten::_cufft_clear_plan_cache(DeviceIndex device_index) -> ()
   arguments:
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: at::DeviceIndex
     is_nullable: false
     name: device_index
-    type: int64_t
-  schema_order_cpp_signature: void (int64_t)
+    type: at::DeviceIndex
+  schema_order_cpp_signature: void (at::DeviceIndex)
   schema_order_arguments:
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: at::DeviceIndex
     is_nullable: false
     name: device_index
-    type: int64_t
+    type: at::DeviceIndex
   method_of:
   - Type
   - namespace
@@ -32213,11 +33319,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: const c10::List<c10::optional<at::Tensor>> &
+    dynamic_type: const c10::List<::std::optional<at::Tensor>> &
     is_nullable: true
     name: indices
-    type: const c10::List<c10::optional<at::Tensor>> &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::List<c10::optional<at::Tensor>> &)
+    type: const c10::List<::std::optional<at::Tensor>> &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::List<::std::optional<at::Tensor>> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -32225,10 +33331,10 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: const c10::List<c10::optional<at::Tensor>> &
+    dynamic_type: const c10::List<::std::optional<at::Tensor>> &
     is_nullable: true
     name: indices
-    type: const c10::List<c10::optional<at::Tensor>> &
+    type: const c10::List<::std::optional<at::Tensor>> &
   method_of:
   - Type
   - Tensor
@@ -32266,11 +33372,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: const c10::List<c10::optional<at::Tensor>> &
+    dynamic_type: const c10::List<::std::optional<at::Tensor>> &
     is_nullable: true
     name: indices
-    type: const c10::List<c10::optional<at::Tensor>> &
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const c10::List<c10::optional<at::Tensor>> &, at::Tensor &)
+    type: const c10::List<::std::optional<at::Tensor>> &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const c10::List<::std::optional<at::Tensor>> &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -32278,10 +33384,10 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: const c10::List<c10::optional<at::Tensor>> &
+    dynamic_type: const c10::List<::std::optional<at::Tensor>> &
     is_nullable: true
     name: indices
-    type: const c10::List<c10::optional<at::Tensor>> &
+    type: const c10::List<::std::optional<at::Tensor>> &
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -32305,6 +33411,181 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: _unsafe_index
+  operator_name: _unsafe_index
+  overload_name: Tensor
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_unsafe_index.Tensor(Tensor self, Tensor?[] indices) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: const c10::List<::std::optional<at::Tensor>> &
+    is_nullable: true
+    name: indices
+    type: const c10::List<::std::optional<at::Tensor>> &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::List<::std::optional<at::Tensor>> &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: const c10::List<::std::optional<at::Tensor>> &
+    is_nullable: true
+    name: indices
+    type: const c10::List<::std::optional<at::Tensor>> &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _unsafe_masked_index
+  operator_name: _unsafe_masked_index
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_unsafe_masked_index(Tensor self, Tensor mask, Tensor?[] indices, Scalar fill) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mask
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: const c10::List<::std::optional<at::Tensor>> &
+    is_nullable: true
+    name: indices
+    type: const c10::List<::std::optional<at::Tensor>> &
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: fill
+    type: const at::Scalar &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::List<::std::optional<at::Tensor>> &, const at::Scalar &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mask
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: const c10::List<::std::optional<at::Tensor>> &
+    is_nullable: true
+    name: indices
+    type: const c10::List<::std::optional<at::Tensor>> &
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: fill
+    type: const at::Scalar &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _unsafe_masked_index_put_accumulate
+  operator_name: _unsafe_masked_index_put_accumulate
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_unsafe_masked_index_put_accumulate(Tensor self, Tensor mask, Tensor?[] indices, Tensor values) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mask
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: const c10::List<::std::optional<at::Tensor>> &
+    is_nullable: true
+    name: indices
+    type: const c10::List<::std::optional<at::Tensor>> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: values
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::List<::std::optional<at::Tensor>> &, const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mask
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: const c10::List<::std::optional<at::Tensor>> &
+    is_nullable: true
+    name: indices
+    type: const c10::List<::std::optional<at::Tensor>> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: values
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: index_copy_out
   operator_name: index_copy
   overload_name: out
@@ -32659,10 +33940,10 @@
     name: self
     type: at::Tensor &
   - annotation: null
-    dynamic_type: const c10::List<c10::optional<at::Tensor>> &
+    dynamic_type: const c10::List<::std::optional<at::Tensor>> &
     is_nullable: true
     name: indices
-    type: const c10::List<c10::optional<at::Tensor>> &
+    type: const c10::List<::std::optional<at::Tensor>> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -32674,7 +33955,7 @@
     is_nullable: false
     name: accumulate
     type: bool
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const c10::List<c10::optional<at::Tensor>> &, const at::Tensor &, bool)
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const c10::List<::std::optional<at::Tensor>> &, const at::Tensor &, bool)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -32682,10 +33963,10 @@
     name: self
     type: at::Tensor &
   - annotation: null
-    dynamic_type: const c10::List<c10::optional<at::Tensor>> &
+    dynamic_type: const c10::List<::std::optional<at::Tensor>> &
     is_nullable: true
     name: indices
-    type: const c10::List<c10::optional<at::Tensor>> &
+    type: const c10::List<::std::optional<at::Tensor>> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -32727,10 +34008,10 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: const c10::List<c10::optional<at::Tensor>> &
+    dynamic_type: const c10::List<::std::optional<at::Tensor>> &
     is_nullable: true
     name: indices
-    type: const c10::List<c10::optional<at::Tensor>> &
+    type: const c10::List<::std::optional<at::Tensor>> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -32742,7 +34023,7 @@
     is_nullable: false
     name: accumulate
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::List<c10::optional<at::Tensor>> &, const at::Tensor &, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::List<::std::optional<at::Tensor>> &, const at::Tensor &, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -32750,10 +34031,10 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: const c10::List<c10::optional<at::Tensor>> &
+    dynamic_type: const c10::List<::std::optional<at::Tensor>> &
     is_nullable: true
     name: indices
-    type: const c10::List<c10::optional<at::Tensor>> &
+    type: const c10::List<::std::optional<at::Tensor>> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -32782,6 +34063,73 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: _unsafe_index_put
+  operator_name: _unsafe_index_put
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_unsafe_index_put(Tensor self, Tensor?[] indices, Tensor values, bool accumulate=False) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: const c10::List<::std::optional<at::Tensor>> &
+    is_nullable: true
+    name: indices
+    type: const c10::List<::std::optional<at::Tensor>> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: values
+    type: const at::Tensor &
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: accumulate
+    type: bool
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::List<::std::optional<at::Tensor>> &, const at::Tensor &, bool)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: const c10::List<::std::optional<at::Tensor>> &
+    is_nullable: true
+    name: indices
+    type: const c10::List<::std::optional<at::Tensor>> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: values
+    type: const at::Tensor &
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: accumulate
+    type: bool
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: _index_put_impl_
   operator_name: _index_put_impl_
   overload_name: ''
@@ -32795,10 +34143,10 @@
     name: self
     type: at::Tensor &
   - annotation: null
-    dynamic_type: const c10::List<c10::optional<at::Tensor>> &
+    dynamic_type: const c10::List<::std::optional<at::Tensor>> &
     is_nullable: true
     name: indices
-    type: const c10::List<c10::optional<at::Tensor>> &
+    type: const c10::List<::std::optional<at::Tensor>> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -32816,7 +34164,7 @@
     is_nullable: false
     name: unsafe
     type: bool
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const c10::List<c10::optional<at::Tensor>> &, const at::Tensor &, bool, bool)
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const c10::List<::std::optional<at::Tensor>> &, const at::Tensor &, bool, bool)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -32824,10 +34172,10 @@
     name: self
     type: at::Tensor &
   - annotation: null
-    dynamic_type: const c10::List<c10::optional<at::Tensor>> &
+    dynamic_type: const c10::List<::std::optional<at::Tensor>> &
     is_nullable: true
     name: indices
-    type: const c10::List<c10::optional<at::Tensor>> &
+    type: const c10::List<::std::optional<at::Tensor>> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -32877,22 +34225,22 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -32913,7 +34261,7 @@
     is_nullable: false
     name: cudnn_enabled
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, bool, double, double, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, bool, double, double, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -32924,22 +34272,22 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -34536,13 +35884,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1.0e-05
     dynamic_type: double
@@ -34555,7 +35903,7 @@
     is_nullable: false
     name: cudnn_enable
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, double, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, double, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -34572,13 +35920,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1.0e-05
     dynamic_type: double
@@ -34628,18 +35976,18 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: double
     is_nullable: false
     name: eps
     type: double
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, at::IntArrayRef, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, double)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, at::IntArrayRef, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, double)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -34655,12 +36003,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: double
     is_nullable: false
@@ -34724,18 +36072,18 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: ::std::array<bool,3>
     is_nullable: false
     name: output_mask
     type: ::std::array<bool,3>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, ::std::array<bool,3>)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, ::std::array<bool,3>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -34766,12 +36114,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: ::std::array<bool,3>
     is_nullable: false
@@ -34799,6 +36147,75 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: rms_norm
+  operator_name: rms_norm
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::rms_norm(Tensor input, int[] normalized_shape, Tensor? weight=None, float? eps=None) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: normalized_shape
+    type: at::IntArrayRef
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: weight
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    name: eps
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, const ::std::optional<at::Tensor> &, ::std::optional<double>)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: normalized_shape
+    type: at::IntArrayRef
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: weight
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    name: eps
+    type: ::std::optional<double>
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: false
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: true
 - name: nan_to_num
   operator_name: nan_to_num
   overload_name: ''
@@ -34812,24 +36229,24 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: nan
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: posinf
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: neginf
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<double>, c10::optional<double>, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<double>, ::std::optional<double>, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -34837,23 +36254,23 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: nan
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: posinf
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: neginf
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - Tensor
@@ -34884,24 +36301,24 @@
     name: self
     type: at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: nan
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: posinf
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: neginf
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, c10::optional<double>, c10::optional<double>, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, ::std::optional<double>, ::std::optional<double>, ::std::optional<double>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -34909,23 +36326,23 @@
     name: self
     type: at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: nan
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: posinf
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: neginf
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - Tensor
@@ -34963,24 +36380,24 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: nan
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: posinf
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: neginf
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<double>, c10::optional<double>, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<double>, ::std::optional<double>, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -34988,23 +36405,23 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: nan
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: posinf
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: neginf
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -35050,8 +36467,8 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -35068,7 +36485,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - namespace
@@ -35185,8 +36602,8 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::Tensor &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -35203,7 +36620,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -35249,8 +36666,8 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -35267,7 +36684,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - namespace
@@ -35478,6 +36895,759 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: _cslt_compress
+  operator_name: _cslt_compress
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_cslt_compress(Tensor input) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _cslt_sparse_mm
+  operator_name: _cslt_sparse_mm
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_cslt_sparse_mm(Tensor compressed_A, Tensor dense_B, Tensor? bias=None, Tensor? alpha=None, ScalarType? out_dtype=None, bool transpose_result=False, int alg_id=0) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: compressed_A
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: dense_B
+    type: const at::Tensor &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: alpha
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    name: out_dtype
+    type: ::std::optional<at::ScalarType>
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: transpose_result
+    type: bool
+  - annotation: null
+    default: 0
+    dynamic_type: int64_t
+    is_nullable: false
+    name: alg_id
+    type: int64_t
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, ::std::optional<at::ScalarType>, bool, int64_t)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: compressed_A
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: dense_B
+    type: const at::Tensor &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: alpha
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    name: out_dtype
+    type: ::std::optional<at::ScalarType>
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: transpose_result
+    type: bool
+  - annotation: null
+    default: 0
+    dynamic_type: int64_t
+    is_nullable: false
+    name: alg_id
+    type: int64_t
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _cslt_sparse_mm_search
+  operator_name: _cslt_sparse_mm_search
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_cslt_sparse_mm_search(Tensor compressed_A, Tensor dense_B, Tensor? bias=None, Tensor? alpha=None, ScalarType? out_dtype=None, bool transpose_result=False) -> int
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: compressed_A
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: dense_B
+    type: const at::Tensor &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: alpha
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    name: out_dtype
+    type: ::std::optional<at::ScalarType>
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: transpose_result
+    type: bool
+  schema_order_cpp_signature: int64_t (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, ::std::optional<at::ScalarType>, bool)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: compressed_A
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: dense_B
+    type: const at::Tensor &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: alpha
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    name: out_dtype
+    type: ::std::optional<at::ScalarType>
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: transpose_result
+    type: bool
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: int64_t
+    name: result
+    type: int64_t
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _sparse_semi_structured_tile
+  operator_name: _sparse_semi_structured_tile
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_sparse_semi_structured_tile(Tensor input, str algorithm="", bool use_cutlass=True) -> (Tensor, Tensor, Tensor, Tensor, Tensor)
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    default: '""'
+    dynamic_type: c10::string_view
+    is_nullable: false
+    name: algorithm
+    type: c10::string_view
+  - annotation: null
+    default: true
+    dynamic_type: bool
+    is_nullable: false
+    name: use_cutlass
+    type: bool
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, c10::string_view, bool)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    default: '""'
+    dynamic_type: c10::string_view
+    is_nullable: false
+    name: algorithm
+    type: c10::string_view
+  - annotation: null
+    default: true
+    dynamic_type: bool
+    is_nullable: false
+    name: use_cutlass
+    type: bool
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result0
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    name: result1
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    name: result2
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    name: result3
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    name: result4
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _sparse_semi_structured_apply
+  operator_name: _sparse_semi_structured_apply
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_sparse_semi_structured_apply(Tensor input, Tensor thread_masks) -> (Tensor, Tensor)
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: thread_masks
+    type: const at::Tensor &
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: thread_masks
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result0
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    name: result1
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _sparse_semi_structured_apply_dense
+  operator_name: _sparse_semi_structured_apply_dense
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_sparse_semi_structured_apply_dense(Tensor input, Tensor thread_masks) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: thread_masks
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: thread_masks
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _sparse_semi_structured_linear
+  operator_name: _sparse_semi_structured_linear
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_sparse_semi_structured_linear(Tensor input, Tensor weight, Tensor meta, *, Tensor? bias=None, str? activation=None, ScalarType? out_dtype=None) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: weight
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: meta
+    type: const at::Tensor &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: c10::string_view
+    is_nullable: true
+    kwarg_only: true
+    name: activation
+    type: ::std::optional<c10::string_view>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: out_dtype
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, ::std::optional<c10::string_view>, ::std::optional<at::ScalarType>)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: weight
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: meta
+    type: const at::Tensor &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: c10::string_view
+    is_nullable: true
+    kwarg_only: true
+    name: activation
+    type: ::std::optional<c10::string_view>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: out_dtype
+    type: ::std::optional<at::ScalarType>
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _sparse_semi_structured_mm
+  operator_name: _sparse_semi_structured_mm
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_sparse_semi_structured_mm(Tensor mat1, Tensor mat1_meta, Tensor mat2, *, ScalarType? out_dtype=None) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mat1
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mat1_meta
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mat2
+    type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: out_dtype
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, ::std::optional<at::ScalarType>)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mat1
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mat1_meta
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mat2
+    type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: out_dtype
+    type: ::std::optional<at::ScalarType>
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _sparse_semi_structured_addmm
+  operator_name: _sparse_semi_structured_addmm
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_sparse_semi_structured_addmm(Tensor input, Tensor mat1, Tensor mat1_meta, Tensor mat2, *, Scalar alpha=1, Scalar beta=1, ScalarType? out_dtype=None) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mat1
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mat1_meta
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mat2
+    type: const at::Tensor &
+  - annotation: null
+    default: 1
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    kwarg_only: true
+    name: alpha
+    type: const at::Scalar &
+  - annotation: null
+    default: 1
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    kwarg_only: true
+    name: beta
+    type: const at::Scalar &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: out_dtype
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Scalar &, const at::Scalar &, ::std::optional<at::ScalarType>)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mat1
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mat1_meta
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mat2
+    type: const at::Tensor &
+  - annotation: null
+    default: 1
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    kwarg_only: true
+    name: alpha
+    type: const at::Scalar &
+  - annotation: null
+    default: 1
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    kwarg_only: true
+    name: beta
+    type: const at::Scalar &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: out_dtype
+    type: ::std::optional<at::ScalarType>
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _mixed_dtypes_linear
+  operator_name: _mixed_dtypes_linear
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_mixed_dtypes_linear(Tensor input, Tensor weight, Tensor scale, *, Tensor? bias=None, str? activation=None) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: weight
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: scale
+    type: const at::Tensor &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: c10::string_view
+    is_nullable: true
+    kwarg_only: true
+    name: activation
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, ::std::optional<c10::string_view>)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: weight
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: scale
+    type: const at::Tensor &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: c10::string_view
+    is_nullable: true
+    kwarg_only: true
+    name: activation
+    type: ::std::optional<c10::string_view>
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: fbgemm_linear_int8_weight_fp32_activation
   operator_name: fbgemm_linear_int8_weight_fp32_activation
   overload_name: ''
@@ -35747,6 +37917,166 @@
   with_gil: false
   deprecated: false
   has_math_kernel: true
+- name: _wrapped_linear_prepack
+  operator_name: _wrapped_linear_prepack
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_wrapped_linear_prepack(Tensor weight, Tensor weight_scale, Tensor weight_zero_point, Tensor bias) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: weight
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: weight_scale
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: weight_zero_point
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: bias
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: weight
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: weight_scale
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: weight_zero_point
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: bias
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: false
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: true
+- name: _wrapped_quantized_linear_prepacked
+  operator_name: _wrapped_quantized_linear_prepacked
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_wrapped_quantized_linear_prepacked(Tensor input, Tensor input_scale, Tensor input_zero_point, Tensor packed_weight, Tensor output_scale, Tensor output_zero_point, int out_channel) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input_scale
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input_zero_point
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: packed_weight
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: output_scale
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: output_zero_point
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: out_channel
+    type: int64_t
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input_scale
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input_zero_point
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: packed_weight
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: output_scale
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: output_zero_point
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: out_channel
+    type: int64_t
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: false
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: true
 - name: fbgemm_linear_fp16_weight_fp32_activation
   operator_name: fbgemm_linear_fp16_weight_fp32_activation
   overload_name: ''
@@ -36127,7 +38457,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Scalar &, const at::Scalar &, int64_t, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Scalar &, const at::Scalar &, int64_t, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: const at::Scalar &
@@ -36145,33 +38475,33 @@
     name: steps
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -36188,59 +38518,80 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: linspace_out
+- name: linspace
   operator_name: linspace
-  overload_name: out
+  overload_name: Tensor_Tensor
   manual_kernel_registration: false
-  category_override: ''
-  schema_string: aten::linspace.out(Scalar start, Scalar end, int steps, *, Tensor(a!) out) -> Tensor(a!)
+  category_override: factory
+  schema_string: aten::linspace.Tensor_Tensor(Tensor start, Tensor end, int steps, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
   arguments:
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
   - annotation: null
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::Tensor
     is_nullable: false
     name: start
-    type: const at::Scalar &
+    type: const at::Tensor &
   - annotation: null
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::Tensor
     is_nullable: false
     name: end
-    type: const at::Scalar &
+    type: const at::Tensor &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
     name: steps
     type: int64_t
-  schema_order_cpp_signature: at::Tensor & (const at::Scalar &, const at::Scalar &, int64_t, at::Tensor &)
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::TensorOptions
+    is_nullable: false
+    kwarg_only: true
+    name: options
+    type: at::TensorOptions
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, int64_t, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::Tensor
     is_nullable: false
     name: start
-    type: const at::Scalar &
+    type: const at::Tensor &
   - annotation: null
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::Tensor
     is_nullable: false
     name: end
-    type: const at::Scalar &
+    type: const at::Tensor &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
     name: steps
     type: int64_t
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Layout
+    is_nullable: true
+    kwarg_only: true
+    name: layout
+    type: ::std::optional<at::Layout>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Device
+    is_nullable: true
+    kwarg_only: true
+    name: device
+    type: ::std::optional<at::Device>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    kwarg_only: true
+    name: pin_memory
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -36248,37 +38599,91 @@
   python_module: ''
   returns:
   - dynamic_type: at::Tensor
-    name: out
-    type: at::Tensor &
+    name: result
+    type: at::Tensor
   inplace: false
-  is_factory_method: false
+  is_factory_method: true
   abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: log
-  operator_name: log
-  overload_name: ''
+- name: linspace
+  operator_name: linspace
+  overload_name: Tensor_Scalar
   manual_kernel_registration: false
-  category_override: ''
-  schema_string: aten::log(Tensor self) -> Tensor
+  category_override: factory
+  schema_string: aten::linspace.Tensor_Scalar(Tensor start, Scalar end, int steps, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: self
+    name: start
     type: const at::Tensor &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &)
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: end
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: steps
+    type: int64_t
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::TensorOptions
+    is_nullable: false
+    kwarg_only: true
+    name: options
+    type: at::TensorOptions
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Scalar &, int64_t, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: self
+    name: start
     type: const at::Tensor &
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: end
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: steps
+    type: int64_t
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Layout
+    is_nullable: true
+    kwarg_only: true
+    name: layout
+    type: ::std::optional<at::Layout>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Device
+    is_nullable: true
+    kwarg_only: true
+    name: device
+    type: ::std::optional<at::Device>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    kwarg_only: true
+    name: pin_memory
+    type: ::std::optional<bool>
   method_of:
   - Type
-  - Tensor
   - namespace
   mode: native
   python_module: ''
@@ -36287,54 +38692,108 @@
     name: result
     type: at::Tensor
   inplace: false
-  is_factory_method: false
+  is_factory_method: true
   abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: log_
-  operator_name: log_
-  overload_name: ''
+- name: linspace
+  operator_name: linspace
+  overload_name: Scalar_Tensor
   manual_kernel_registration: false
-  category_override: ''
-  schema_string: aten::log_(Tensor(a!) self) -> Tensor(a!)
+  category_override: factory
+  schema_string: aten::linspace.Scalar_Tensor(Scalar start, Tensor end, int steps, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
   arguments:
-  - annotation: a!
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: start
+    type: const at::Scalar &
+  - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: self
-    type: at::Tensor &
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &)
+    name: end
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: steps
+    type: int64_t
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::TensorOptions
+    is_nullable: false
+    kwarg_only: true
+    name: options
+    type: at::TensorOptions
+  schema_order_cpp_signature: at::Tensor (const at::Scalar &, const at::Tensor &, int64_t, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
-  - annotation: a!
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: start
+    type: const at::Scalar &
+  - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: self
-    type: at::Tensor &
+    name: end
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: steps
+    type: int64_t
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Layout
+    is_nullable: true
+    kwarg_only: true
+    name: layout
+    type: ::std::optional<at::Layout>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Device
+    is_nullable: true
+    kwarg_only: true
+    name: device
+    type: ::std::optional<at::Device>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    kwarg_only: true
+    name: pin_memory
+    type: ::std::optional<bool>
   method_of:
   - Type
-  - Tensor
   - namespace
   mode: native
   python_module: ''
   returns:
   - dynamic_type: at::Tensor
-    name: self
-    type: at::Tensor &
-  inplace: true
-  is_factory_method: false
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: true
   abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: log_out
-  operator_name: log
+- name: linspace_out
+  operator_name: linspace
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::log.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::linspace.out(Scalar start, Scalar end, int steps, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -36344,28 +38803,376 @@
     output: true
     type: at::Tensor &
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: self
-    type: const at::Tensor &
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::Tensor &)
-  schema_order_arguments:
+    name: start
+    type: const at::Scalar &
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: self
-    type: const at::Tensor &
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
+    name: end
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: int64_t
     is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
-  method_of:
-  - Type
-  - namespace
-  mode: native
+    name: steps
+    type: int64_t
+  schema_order_cpp_signature: at::Tensor & (const at::Scalar &, const at::Scalar &, int64_t, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: start
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: end
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: steps
+    type: int64_t
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: linspace_out
+  operator_name: linspace
+  overload_name: Tensor_Tensor_out
+  manual_kernel_registration: false
+  category_override: factory
+  schema_string: aten::linspace.Tensor_Tensor_out(Tensor start, Tensor end, int steps, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: start
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: end
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: steps
+    type: int64_t
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, int64_t, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: start
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: end
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: steps
+    type: int64_t
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: linspace_out
+  operator_name: linspace
+  overload_name: Tensor_Scalar_out
+  manual_kernel_registration: false
+  category_override: factory
+  schema_string: aten::linspace.Tensor_Scalar_out(Tensor start, Scalar end, int steps, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: start
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: end
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: steps
+    type: int64_t
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Scalar &, int64_t, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: start
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: end
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: steps
+    type: int64_t
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: linspace_out
+  operator_name: linspace
+  overload_name: Scalar_Tensor_out
+  manual_kernel_registration: false
+  category_override: factory
+  schema_string: aten::linspace.Scalar_Tensor_out(Scalar start, Tensor end, int steps, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: start
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: end
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: steps
+    type: int64_t
+  schema_order_cpp_signature: at::Tensor & (const at::Scalar &, const at::Tensor &, int64_t, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: start
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: end
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: steps
+    type: int64_t
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: log
+  operator_name: log
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::log(Tensor self) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - Tensor
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: log_
+  operator_name: log_
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::log_(Tensor(a!) self) -> Tensor(a!)
+  arguments:
+  - annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: at::Tensor &
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &)
+  schema_order_arguments:
+  - annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: at::Tensor &
+  method_of:
+  - Type
+  - Tensor
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: self
+    type: at::Tensor &
+  inplace: true
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: log_out
+  operator_name: log
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::log.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
   python_module: ''
   returns:
   - dynamic_type: at::Tensor
@@ -37392,7 +40199,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Scalar &, const at::Scalar &, int64_t, double, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Scalar &, const at::Scalar &, int64_t, double, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: const at::Scalar &
@@ -37416,33 +40223,339 @@
     name: base
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: true
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: logspace
+  operator_name: logspace
+  overload_name: Tensor_Tensor
+  manual_kernel_registration: false
+  category_override: factory
+  schema_string: aten::logspace.Tensor_Tensor(Tensor start, Tensor end, int steps, float base=10.0, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: start
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: end
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: steps
+    type: int64_t
+  - annotation: null
+    default: 10.0
+    dynamic_type: double
+    is_nullable: false
+    name: base
+    type: double
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::TensorOptions
+    is_nullable: false
+    kwarg_only: true
+    name: options
+    type: at::TensorOptions
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, int64_t, double, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: start
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: end
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: steps
+    type: int64_t
+  - annotation: null
+    default: 10.0
+    dynamic_type: double
+    is_nullable: false
+    name: base
+    type: double
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Layout
+    is_nullable: true
+    kwarg_only: true
+    name: layout
+    type: ::std::optional<at::Layout>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Device
+    is_nullable: true
+    kwarg_only: true
+    name: device
+    type: ::std::optional<at::Device>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    kwarg_only: true
+    name: pin_memory
+    type: ::std::optional<bool>
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: true
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: logspace
+  operator_name: logspace
+  overload_name: Tensor_Scalar
+  manual_kernel_registration: false
+  category_override: factory
+  schema_string: aten::logspace.Tensor_Scalar(Tensor start, Scalar end, int steps, float base=10.0, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: start
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: end
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: steps
+    type: int64_t
+  - annotation: null
+    default: 10.0
+    dynamic_type: double
+    is_nullable: false
+    name: base
+    type: double
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::TensorOptions
+    is_nullable: false
+    kwarg_only: true
+    name: options
+    type: at::TensorOptions
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Scalar &, int64_t, double, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: start
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: end
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: steps
+    type: int64_t
+  - annotation: null
+    default: 10.0
+    dynamic_type: double
+    is_nullable: false
+    name: base
+    type: double
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Layout
+    is_nullable: true
+    kwarg_only: true
+    name: layout
+    type: ::std::optional<at::Layout>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Device
+    is_nullable: true
+    kwarg_only: true
+    name: device
+    type: ::std::optional<at::Device>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    kwarg_only: true
+    name: pin_memory
+    type: ::std::optional<bool>
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: true
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: logspace
+  operator_name: logspace
+  overload_name: Scalar_Tensor
+  manual_kernel_registration: false
+  category_override: factory
+  schema_string: aten::logspace.Scalar_Tensor(Scalar start, Tensor end, int steps, float base=10.0, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: start
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: end
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: steps
+    type: int64_t
+  - annotation: null
+    default: 10.0
+    dynamic_type: double
+    is_nullable: false
+    name: base
+    type: double
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::TensorOptions
+    is_nullable: false
+    kwarg_only: true
+    name: options
+    type: at::TensorOptions
+  schema_order_cpp_signature: at::Tensor (const at::Scalar &, const at::Tensor &, int64_t, double, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: start
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: end
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: steps
+    type: int64_t
+  - annotation: null
+    default: 10.0
+    dynamic_type: double
+    is_nullable: false
+    name: base
+    type: double
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Layout
+    is_nullable: true
+    kwarg_only: true
+    name: layout
+    type: ::std::optional<at::Layout>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Device
+    is_nullable: true
+    kwarg_only: true
+    name: device
+    type: ::std::optional<at::Device>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    kwarg_only: true
+    name: pin_memory
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -37540,6 +40653,249 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: logspace_out
+  operator_name: logspace
+  overload_name: Tensor_Tensor_out
+  manual_kernel_registration: false
+  category_override: factory
+  schema_string: aten::logspace.Tensor_Tensor_out(Tensor start, Tensor end, int steps, float base=10.0, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: start
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: end
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: steps
+    type: int64_t
+  - annotation: null
+    default: 10.0
+    dynamic_type: double
+    is_nullable: false
+    name: base
+    type: double
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, int64_t, double, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: start
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: end
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: steps
+    type: int64_t
+  - annotation: null
+    default: 10.0
+    dynamic_type: double
+    is_nullable: false
+    name: base
+    type: double
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: logspace_out
+  operator_name: logspace
+  overload_name: Tensor_Scalar_out
+  manual_kernel_registration: false
+  category_override: factory
+  schema_string: aten::logspace.Tensor_Scalar_out(Tensor start, Scalar end, int steps, float base=10.0, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: start
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: end
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: steps
+    type: int64_t
+  - annotation: null
+    default: 10.0
+    dynamic_type: double
+    is_nullable: false
+    name: base
+    type: double
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Scalar &, int64_t, double, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: start
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: end
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: steps
+    type: int64_t
+  - annotation: null
+    default: 10.0
+    dynamic_type: double
+    is_nullable: false
+    name: base
+    type: double
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: logspace_out
+  operator_name: logspace
+  overload_name: Scalar_Tensor_out
+  manual_kernel_registration: false
+  category_override: factory
+  schema_string: aten::logspace.Scalar_Tensor_out(Scalar start, Tensor end, int steps, float base=10.0, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: start
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: end
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: steps
+    type: int64_t
+  - annotation: null
+    default: 10.0
+    dynamic_type: double
+    is_nullable: false
+    name: base
+    type: double
+  schema_order_cpp_signature: at::Tensor & (const at::Scalar &, const at::Tensor &, int64_t, double, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: start
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: end
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: steps
+    type: int64_t
+  - annotation: null
+    default: 10.0
+    dynamic_type: double
+    is_nullable: false
+    name: base
+    type: double
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: log_softmax
   operator_name: log_softmax
   overload_name: int
@@ -37558,12 +40914,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -37576,11 +40932,11 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - Tensor
@@ -37623,12 +40979,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, c10::optional<at::ScalarType>, at::Tensor &)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, ::std::optional<at::ScalarType>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -37641,11 +40997,11 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -37687,13 +41043,13 @@
     name: dim
     type: at::Dimname
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::Dimname, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::Dimname, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -37706,12 +41062,12 @@
     name: dim
     type: at::Dimname
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - Tensor
@@ -39126,12 +42482,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     kwarg_only: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -39139,7 +42495,7 @@
     kwarg_only: true
     name: keepdim
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, c10::optional<int64_t>, bool)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, ::std::optional<int64_t>, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -39147,12 +42503,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     kwarg_only: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -39211,12 +42567,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     kwarg_only: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -39224,7 +42580,7 @@
     kwarg_only: true
     name: keepdim
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, c10::optional<int64_t>, bool, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, ::std::optional<int64_t>, bool, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -39232,12 +42588,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     kwarg_only: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -40975,6 +44331,107 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: quantized_max_pool3d
+  operator_name: quantized_max_pool3d
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::quantized_max_pool3d(Tensor self, int[3] kernel_size, int[3] stride=[], int[3] padding=0, int[3] dilation=1, bool ceil_mode=False) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: kernel_size
+    size: 3
+    type: at::IntArrayRef
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: stride
+    size: 3
+    type: at::IntArrayRef
+  - annotation: null
+    default: 0
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: padding
+    size: 3
+    type: at::IntArrayRef
+  - annotation: null
+    default: 1
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: dilation
+    size: 3
+    type: at::IntArrayRef
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: ceil_mode
+    type: bool
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: kernel_size
+    size: 3
+    type: at::IntArrayRef
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: stride
+    size: 3
+    type: at::IntArrayRef
+  - annotation: null
+    default: 0
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: padding
+    size: 3
+    type: at::IntArrayRef
+  - annotation: null
+    default: 1
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: dilation
+    size: 3
+    type: at::IntArrayRef
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: ceil_mode
+    type: bool
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: max_pool3d
   operator_name: max_pool3d
   overload_name: ''
@@ -41089,13 +44546,13 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -41103,12 +44560,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - Tensor
@@ -41126,6 +44583,69 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: mean_out
+  operator_name: mean
+  overload_name: dtype_out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::mean.dtype_out(Tensor self, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<at::ScalarType>, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: mean
   operator_name: mean
   overload_name: dim
@@ -41151,13 +44671,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, bool, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, bool, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -41177,12 +44697,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - Tensor
@@ -41232,13 +44752,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, bool, c10::optional<at::ScalarType>, at::Tensor &)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, bool, ::std::optional<at::ScalarType>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -41258,12 +44778,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -41312,13 +44832,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::DimnameList, bool, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::DimnameList, bool, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -41338,12 +44858,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - Tensor
@@ -41393,13 +44913,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::DimnameList, bool, c10::optional<at::ScalarType>, at::Tensor &)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::DimnameList, bool, ::std::optional<at::ScalarType>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -41419,12 +44939,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -41461,7 +44981,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
@@ -41474,13 +44994,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, bool, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, bool, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -41488,7 +45008,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
@@ -41501,12 +45021,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - Tensor
@@ -41544,7 +45064,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
@@ -41557,13 +45077,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, bool, c10::optional<at::ScalarType>, at::Tensor &)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, bool, ::std::optional<at::ScalarType>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -41571,7 +45091,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
@@ -41584,12 +45104,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -42769,7 +46289,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_mps_convolution(Tensor self, Tensor weight, Tensor? bias, int[] padding, int[] stride, int[] dilation, int groups) -> Tensor
+  schema_string: aten::_mps_convolution(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, SymInt[] stride, SymInt[] dilation, SymInt groups) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -42785,7 +46305,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -42806,7 +46326,7 @@
     is_nullable: false
     name: groups
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -42822,7 +46342,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -42864,7 +46384,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::mps_convolution_backward(Tensor self, Tensor grad_output, Tensor weight, int[] padding, int[] stride, int[] dilation, int groups, bool[3] output_mask) -> (Tensor, Tensor, Tensor)
+  schema_string: aten::mps_convolution_backward(Tensor self, Tensor grad_output, Tensor weight, SymInt[] padding, SymInt[] stride, SymInt[] dilation, SymInt groups, bool[3] output_mask) -> (Tensor, Tensor, Tensor)
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -42975,7 +46495,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::mkldnn_convolution(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, int[] stride, int[] dilation, int groups) -> Tensor
+  schema_string: aten::mkldnn_convolution(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, SymInt[] stride, SymInt[] dilation, SymInt groups) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -42991,7 +46511,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -43012,7 +46532,7 @@
     is_nullable: false
     name: groups
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -43028,7 +46548,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -43320,17 +46840,17 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_output
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_hy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_cy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -43381,7 +46901,7 @@
     is_nullable: false
     name: workspace
     type: const at::Tensor &
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, bool, int64_t, int64_t, int64_t, bool, bool, bool, at::IntArrayRef, bool, const at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, bool, int64_t, int64_t, int64_t, bool, bool, bool, at::IntArrayRef, bool, const at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -43437,17 +46957,17 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_output
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_hy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_cy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -43553,17 +47073,17 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -43579,7 +47099,7 @@
     is_nullable: false
     name: epsilon
     type: double
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, bool, double, double)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, bool, double, double)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -43595,17 +47115,17 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -43669,28 +47189,28 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: double
     is_nullable: false
     name: epsilon
     type: double
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, double)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, double)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -43711,22 +47231,22 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: double
     is_nullable: false
@@ -43759,7 +47279,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::miopen_convolution(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic) -> Tensor
+  schema_string: aten::miopen_convolution(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, SymInt[] stride, SymInt[] dilation, SymInt groups, bool benchmark, bool deterministic) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -43775,7 +47295,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -43806,7 +47326,7 @@
     is_nullable: false
     name: deterministic
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, bool, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, bool, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -43822,7 +47342,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -43874,7 +47394,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::miopen_convolution_transpose(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, SymInt[] output_padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic) -> Tensor
+  schema_string: aten::miopen_convolution_transpose(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, SymInt[] output_padding, SymInt[] stride, SymInt[] dilation, SymInt groups, bool benchmark, bool deterministic) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -43890,7 +47410,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -43926,7 +47446,7 @@
     is_nullable: false
     name: deterministic
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, bool, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, bool, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -43942,7 +47462,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -43999,7 +47519,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::miopen_depthwise_convolution(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic) -> Tensor
+  schema_string: aten::miopen_depthwise_convolution(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, SymInt[] stride, SymInt[] dilation, SymInt groups, bool benchmark, bool deterministic) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -44015,7 +47535,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -44046,7 +47566,7 @@
     is_nullable: false
     name: deterministic
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, bool, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, bool, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -44062,7 +47582,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -44114,7 +47634,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::miopen_convolution_relu(Tensor self, Tensor weight, Tensor? bias, int[] stride, int[] padding, int[] dilation, int groups) -> Tensor
+  schema_string: aten::miopen_convolution_relu(Tensor self, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, SymInt groups) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -44130,7 +47650,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -44151,7 +47671,7 @@
     is_nullable: false
     name: groups
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -44167,7 +47687,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -44209,7 +47729,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::miopen_convolution_add_relu(Tensor self, Tensor weight, Tensor z, Scalar? alpha, Tensor? bias, int[] stride, int[] padding, int[] dilation, int groups) -> Tensor
+  schema_string: aten::miopen_convolution_add_relu(Tensor self, Tensor weight, Tensor z, Scalar? alpha, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, SymInt groups) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -44230,12 +47750,12 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: alpha
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -44256,7 +47776,7 @@
     is_nullable: false
     name: groups
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Scalar> &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Scalar> &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -44277,12 +47797,12 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: alpha
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -44350,7 +47870,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: cx
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -44395,8 +47915,8 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: dropout_state
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, at::TensorList, int64_t, const at::Tensor &, const c10::optional<at::Tensor> &, int64_t, int64_t, int64_t, bool, double, bool, bool, at::IntArrayRef, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, at::TensorList, int64_t, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, int64_t, int64_t, bool, double, bool, bool, at::IntArrayRef, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -44422,7 +47942,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: cx
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -44467,7 +47987,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: dropout_state
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - namespace
@@ -44532,7 +48052,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: cx
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -44542,17 +48062,17 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_output
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_hy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_cy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -44597,7 +48117,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: dropout_state
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -44608,7 +48128,7 @@
     is_nullable: false
     name: output_mask
     type: ::std::array<bool,4>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,::std::vector<at::Tensor>> (const at::Tensor &, at::TensorList, int64_t, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, int64_t, int64_t, int64_t, bool, double, bool, bool, at::IntArrayRef, const c10::optional<at::Tensor> &, const at::Tensor &, ::std::array<bool,4>)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,::std::vector<at::Tensor>> (const at::Tensor &, at::TensorList, int64_t, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, int64_t, int64_t, int64_t, bool, double, bool, bool, at::IntArrayRef, const ::std::optional<at::Tensor> &, const at::Tensor &, ::std::array<bool,4>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -44639,7 +48159,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: cx
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -44649,17 +48169,17 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_output
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_hy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_cy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -44704,7 +48224,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: dropout_state
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -44845,6 +48365,275 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: _int_mm
+  operator_name: _int_mm
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_int_mm(Tensor self, Tensor mat2) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mat2
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mat2
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _int_mm_out
+  operator_name: _int_mm
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_int_mm.out(Tensor self, Tensor mat2, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mat2
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mat2
+    type: const at::Tensor &
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _convert_weight_to_int4pack
+  operator_name: _convert_weight_to_int4pack
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_convert_weight_to_int4pack(Tensor self, int innerKTiles) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: innerKTiles
+    type: int64_t
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: innerKTiles
+    type: int64_t
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _weight_int4pack_mm
+  operator_name: _weight_int4pack_mm
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_weight_int4pack_mm(Tensor self, Tensor mat2, int qGroupSize, Tensor qScaleAndZeros) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mat2
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: qGroupSize
+    type: int64_t
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: qScaleAndZeros
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, int64_t, const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mat2
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: qGroupSize
+    type: int64_t
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: qScaleAndZeros
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _weight_int8pack_mm
+  operator_name: _weight_int8pack_mm
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_weight_int8pack_mm(Tensor self, Tensor mat2, Tensor scales) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mat2
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: scales
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mat2
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: scales
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: _sparse_mm
   operator_name: _sparse_mm
   overload_name: ''
@@ -46251,7 +50040,7 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: false
   with_gil: false
   deprecated: false
@@ -46338,22 +50127,22 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -46369,7 +50158,7 @@
     is_nullable: false
     name: eps
     type: double
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, bool, double, double)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, bool, double, double)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -46380,22 +50169,22 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -46470,22 +50259,22 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -46501,7 +50290,7 @@
     is_nullable: false
     name: eps
     type: double
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, bool, double, double, at::Tensor &, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, bool, double, double, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -46512,22 +50301,22 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -46602,12 +50391,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: a!
     dynamic_type: at::Tensor
     is_nullable: false
@@ -46633,7 +50422,7 @@
     is_nullable: false
     name: eps
     type: double
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, at::Tensor &, at::Tensor &, bool, double, double)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, at::Tensor &, at::Tensor &, bool, double, double)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -46644,12 +50433,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: a!
     dynamic_type: at::Tensor
     is_nullable: false
@@ -46697,6 +50486,107 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: _native_batch_norm_legit_no_training
+  operator_name: _native_batch_norm_legit_no_training
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_native_batch_norm_legit_no_training(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor)
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: weight
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: running_mean
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: running_var
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: momentum
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: eps
+    type: double
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, double, double)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: weight
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: running_mean
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: running_var
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: momentum
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: eps
+    type: double
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result0
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    name: result1
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    name: result2
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: _native_batch_norm_legit_out
   operator_name: _native_batch_norm_legit
   overload_name: out
@@ -46734,12 +50624,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: a!
     dynamic_type: at::Tensor
     is_nullable: false
@@ -46765,7 +50655,7 @@
     is_nullable: false
     name: eps
     type: double
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, at::Tensor &, at::Tensor &, bool, double, double, at::Tensor &, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, at::Tensor &, at::Tensor &, bool, double, double, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -46776,12 +50666,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: a!
     dynamic_type: at::Tensor
     is_nullable: false
@@ -46866,12 +50756,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -46887,7 +50777,7 @@
     is_nullable: false
     name: eps
     type: double
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, bool, double, double)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, bool, double, double)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -46898,12 +50788,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -46978,12 +50868,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -46999,7 +50889,7 @@
     is_nullable: false
     name: eps
     type: double
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, bool, double, double, at::Tensor &, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, bool, double, double, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -47010,12 +50900,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -47138,12 +51028,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -47159,7 +51049,7 @@
     is_nullable: false
     name: eps
     type: double
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, double)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, double)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -47170,12 +51060,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -47230,12 +51120,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -47251,7 +51141,7 @@
     is_nullable: false
     name: eps
     type: double
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, double, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, double, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -47262,12 +51152,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -47332,12 +51222,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: double
     is_nullable: false
@@ -47353,7 +51243,7 @@
     is_nullable: false
     name: count
     type: int64_t
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, double, double, int64_t)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, double, double, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -47374,12 +51264,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: double
     is_nullable: false
@@ -47440,12 +51330,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: double
     is_nullable: false
@@ -47461,7 +51351,7 @@
     is_nullable: false
     name: counts
     type: const at::Tensor &
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, double, double, const at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, double, double, const at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -47482,12 +51372,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: double
     is_nullable: false
@@ -47543,27 +51433,27 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_invstd
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -47579,7 +51469,7 @@
     is_nullable: false
     name: output_mask
     type: ::std::array<bool,3>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, bool, double, ::std::array<bool,3>)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, bool, double, ::std::array<bool,3>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -47595,27 +51485,27 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_invstd
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -47684,7 +51574,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -47700,7 +51590,7 @@
     is_nullable: false
     name: bias_g
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, bool, bool, bool)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, bool, bool, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -47726,7 +51616,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -47772,7 +51662,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::batch_norm_backward_elemt(Tensor grad_out, Tensor input, Tensor mean, Tensor invstd, Tensor? weight, Tensor mean_dy, Tensor mean_dy_xmu, Tensor count) -> Tensor
+  schema_string: aten::batch_norm_backward_elemt(Tensor grad_out, Tensor input, Tensor mean, Tensor invstd, Tensor? weight, Tensor sum_dy, Tensor sum_dy_xmu, Tensor count) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -47798,23 +51688,23 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: mean_dy
+    name: sum_dy
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: mean_dy_xmu
+    name: sum_dy_xmu
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
     name: count
     type: const at::Tensor &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, const at::Tensor &)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, const at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -47840,16 +51730,16 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: mean_dy
+    name: sum_dy
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: mean_dy_xmu
+    name: sum_dy_xmu
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
@@ -47888,18 +51778,18 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: double
     is_nullable: false
     name: momentum
     type: double
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, double)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, double)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -47910,12 +51800,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: double
     is_nullable: false
@@ -47995,7 +51885,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_nnpack_spatial_convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[2] padding, int[2] stride=1) -> Tensor
+  schema_string: aten::_nnpack_spatial_convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[2] padding, SymInt[2] stride=1) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -48011,7 +51901,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -48025,7 +51915,7 @@
     name: stride
     size: 2
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -48041,7 +51931,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -48088,7 +51978,7 @@
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - annotation: null
     default: '{}'
     dynamic_type: at::TensorOptions
@@ -48096,7 +51986,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, c10::optional<at::DimnameList>, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, ::std::optional<at::DimnameList>, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -48108,35 +51998,35 @@
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -48172,7 +52062,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -48180,33 +52070,33 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -48292,13 +52182,13 @@
     name: options
     type: at::TensorOptions
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>, c10::optional<at::MemoryFormat>)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>, ::std::optional<at::MemoryFormat>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -48306,40 +52196,40 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   method_of:
   - Type
   - namespace
@@ -48461,12 +52351,12 @@
     name: p
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: compute_mode
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, double, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, double, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -48485,11 +52375,11 @@
     name: p
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: compute_mode
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - namespace
@@ -48577,8 +52467,8 @@
     dynamic_type: int64_t
     is_nullable: true
     name: compute_mode
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, double, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, double, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -48599,7 +52489,7 @@
     dynamic_type: int64_t
     is_nullable: true
     name: compute_mode
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - namespace
@@ -49460,7 +53350,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::channel_shuffle(Tensor self, int groups) -> Tensor
+  schema_string: aten::channel_shuffle(Tensor self, SymInt groups) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -49505,7 +53395,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::native_channel_shuffle(Tensor self, int groups) -> Tensor
+  schema_string: aten::native_channel_shuffle(Tensor self, SymInt groups) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -49558,12 +53448,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     name: device
-    type: c10::optional<at::Device>
-  schema_order_cpp_signature: bool (const at::Tensor &, c10::optional<at::Device>)
+    type: ::std::optional<at::Device>
+  schema_order_cpp_signature: bool (const at::Tensor &, ::std::optional<at::Device>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -49571,11 +53461,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   method_of:
   - Type
   - Tensor
@@ -49605,12 +53495,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     name: device
-    type: c10::optional<at::Device>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::Device>)
+    type: ::std::optional<at::Device>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::Device>)
   schema_order_arguments:
   - annotation: a
     dynamic_type: at::Tensor
@@ -49618,11 +53508,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   method_of:
   - Type
   - Tensor
@@ -49652,12 +53542,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     name: device
-    type: c10::optional<at::Device>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::Device>)
+    type: ::std::optional<at::Device>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::Device>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -49665,11 +53555,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   method_of:
   - Type
   - namespace
@@ -50080,7 +53970,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Scalar &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Scalar &, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: const at::Scalar &
@@ -50088,33 +53978,33 @@
     name: s
     type: const at::Scalar &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -50148,7 +54038,7 @@
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - annotation: null
     default: '{}'
     dynamic_type: at::TensorOptions
@@ -50156,7 +54046,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, c10::optional<at::DimnameList>, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, ::std::optional<at::DimnameList>, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -50168,35 +54058,35 @@
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -50230,13 +54120,13 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - annotation: null
     dynamic_type: at::DimnameList
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - annotation: null
     default: '{}'
     dynamic_type: at::TensorOptions
@@ -50244,7 +54134,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, c10::optional<at::Generator>, c10::optional<at::DimnameList>, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, ::std::optional<at::Generator>, ::std::optional<at::DimnameList>, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -50256,41 +54146,41 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - annotation: null
     dynamic_type: at::DimnameList
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -50326,7 +54216,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -50334,33 +54224,33 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -50394,7 +54284,7 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - annotation: null
     default: '{}'
     dynamic_type: at::TensorOptions
@@ -50402,7 +54292,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, c10::optional<at::Generator>, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, ::std::optional<at::Generator>, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -50414,35 +54304,35 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -50532,8 +54422,8 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -50545,7 +54435,7 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -50589,13 +54479,13 @@
     name: options
     type: at::TensorOptions
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>, c10::optional<at::MemoryFormat>)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>, ::std::optional<at::MemoryFormat>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -50603,40 +54493,40 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   method_of:
   - Type
   - namespace
@@ -50658,7 +54548,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::randint(int high, SymInt[] size, *, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
+  schema_string: aten::randint(SymInt high, SymInt[] size, *, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -50677,7 +54567,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -50695,28 +54585,28 @@
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -50738,7 +54628,7 @@
   overload_name: generator
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::randint.generator(int high, SymInt[] size, *, Generator? generator, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
+  schema_string: aten::randint.generator(SymInt high, SymInt[] size, *, Generator? generator, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -50755,7 +54645,7 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - annotation: null
     default: at::kLong
     dynamic_type: at::TensorOptions
@@ -50763,7 +54653,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, at::IntArrayRef, c10::optional<at::Generator>, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, at::IntArrayRef, ::std::optional<at::Generator>, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -50780,35 +54670,35 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - annotation: null
     default: at::kLong
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -50830,7 +54720,7 @@
   overload_name: low
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::randint.low(int low, int high, SymInt[] size, *, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
+  schema_string: aten::randint.low(SymInt low, SymInt high, SymInt[] size, *, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -50854,7 +54744,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, int64_t, at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, int64_t, at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -50877,28 +54767,28 @@
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -50920,7 +54810,7 @@
   overload_name: low_generator
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::randint.low_generator(int low, int high, SymInt[] size, *, Generator? generator, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
+  schema_string: aten::randint.low_generator(SymInt low, SymInt high, SymInt[] size, *, Generator? generator, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -50942,7 +54832,7 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - annotation: null
     default: at::kLong
     dynamic_type: at::TensorOptions
@@ -50950,7 +54840,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, int64_t, at::IntArrayRef, c10::optional<at::Generator>, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, int64_t, at::IntArrayRef, ::std::optional<at::Generator>, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -50972,35 +54862,35 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - annotation: null
     default: at::kLong
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -51022,7 +54912,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::randint.out(int high, SymInt[] size, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::randint.out(SymInt high, SymInt[] size, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -51081,7 +54971,7 @@
   overload_name: generator_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::randint.generator_out(int high, SymInt[] size, *, Generator? generator, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::randint.generator_out(SymInt high, SymInt[] size, *, Generator? generator, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -51105,8 +54995,8 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (int64_t, at::IntArrayRef, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (int64_t, at::IntArrayRef, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -51123,7 +55013,7 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -51152,7 +55042,7 @@
   overload_name: low_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::randint.low_out(int low, int high, SymInt[] size, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::randint.low_out(SymInt low, SymInt high, SymInt[] size, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -51221,7 +55111,7 @@
   overload_name: low_generator_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::randint.low_generator_out(int low, int high, SymInt[] size, *, Generator? generator, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::randint.low_generator_out(SymInt low, SymInt high, SymInt[] size, *, Generator? generator, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -51250,8 +55140,8 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (int64_t, int64_t, at::IntArrayRef, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (int64_t, int64_t, at::IntArrayRef, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -51273,7 +55163,7 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -51302,7 +55192,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::randint_like(Tensor self, int high, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor
+  schema_string: aten::randint_like(Tensor self, SymInt high, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -51322,13 +55212,13 @@
     name: options
     type: at::TensorOptions
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>, c10::optional<at::MemoryFormat>)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>, ::std::optional<at::MemoryFormat>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -51341,40 +55231,40 @@
     name: high
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   method_of:
   - Type
   - namespace
@@ -51396,7 +55286,7 @@
   overload_name: low_dtype
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::randint_like.low_dtype(Tensor self, int low, int high, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor
+  schema_string: aten::randint_like.low_dtype(Tensor self, SymInt low, SymInt high, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -51421,13 +55311,13 @@
     name: options
     type: at::TensorOptions
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, int64_t, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>, c10::optional<at::MemoryFormat>)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, int64_t, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>, ::std::optional<at::MemoryFormat>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -51445,40 +55335,40 @@
     name: high
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   method_of:
   - Type
   - namespace
@@ -51514,7 +55404,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -51522,33 +55412,33 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -51582,7 +55472,7 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - annotation: null
     default: '{}'
     dynamic_type: at::TensorOptions
@@ -51590,7 +55480,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, c10::optional<at::Generator>, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, ::std::optional<at::Generator>, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -51602,35 +55492,35 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -51664,7 +55554,7 @@
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - annotation: null
     default: '{}'
     dynamic_type: at::TensorOptions
@@ -51672,7 +55562,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, c10::optional<at::DimnameList>, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, ::std::optional<at::DimnameList>, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -51684,35 +55574,35 @@
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -51746,13 +55636,13 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - annotation: null
     dynamic_type: at::DimnameList
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - annotation: null
     default: '{}'
     dynamic_type: at::TensorOptions
@@ -51760,7 +55650,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, c10::optional<at::Generator>, c10::optional<at::DimnameList>, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, ::std::optional<at::Generator>, ::std::optional<at::DimnameList>, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -51772,41 +55662,41 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - annotation: null
     dynamic_type: at::DimnameList
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -51896,8 +55786,8 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -51909,7 +55799,7 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -51953,13 +55843,13 @@
     name: options
     type: at::TensorOptions
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>, c10::optional<at::MemoryFormat>)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>, ::std::optional<at::MemoryFormat>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -51967,40 +55857,40 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   method_of:
   - Type
   - namespace
@@ -52022,7 +55912,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::randperm(int n, *, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
+  schema_string: aten::randperm(SymInt n, *, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -52036,7 +55926,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -52049,28 +55939,28 @@
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -52092,7 +55982,7 @@
   overload_name: generator
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::randperm.generator(int n, *, Generator? generator, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
+  schema_string: aten::randperm.generator(SymInt n, *, Generator? generator, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -52104,7 +55994,7 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - annotation: null
     default: at::kLong
     dynamic_type: at::TensorOptions
@@ -52112,7 +56002,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, c10::optional<at::Generator>, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, ::std::optional<at::Generator>, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -52124,35 +56014,35 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - annotation: null
     default: at::kLong
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -52174,7 +56064,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::randperm.out(int n, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::randperm.out(SymInt n, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -52223,7 +56113,7 @@
   overload_name: generator_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::randperm.generator_out(int n, *, Generator? generator, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::randperm.generator_out(SymInt n, *, Generator? generator, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -52242,8 +56132,8 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (int64_t, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (int64_t, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -52255,7 +56145,7 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -52309,7 +56199,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Scalar &, const at::Scalar &, const at::Scalar &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Scalar &, const at::Scalar &, const at::Scalar &, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: const at::Scalar &
@@ -52328,33 +56218,33 @@
     name: step
     type: const at::Scalar &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -52395,7 +56285,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Scalar &, const at::Scalar &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Scalar &, const at::Scalar &, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: const at::Scalar &
@@ -52408,33 +56298,33 @@
     name: end
     type: const at::Scalar &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -53030,7 +56920,7 @@
   overload_name: Tensor
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::repeat_interleave.Tensor(Tensor repeats, *, int? output_size=None) -> Tensor
+  schema_string: aten::repeat_interleave.Tensor(Tensor repeats, *, SymInt? output_size=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -53038,13 +56928,13 @@
     name: repeats
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     kwarg_only: true
     name: output_size
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -53052,12 +56942,12 @@
     name: repeats
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     kwarg_only: true
     name: output_size
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - namespace
@@ -53079,7 +56969,7 @@
   overload_name: self_Tensor
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::repeat_interleave.self_Tensor(Tensor self, Tensor repeats, int? dim=None, *, int? output_size=None) -> Tensor
+  schema_string: aten::repeat_interleave.self_Tensor(Tensor self, Tensor repeats, int? dim=None, *, SymInt? output_size=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -53092,19 +56982,19 @@
     name: repeats
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     kwarg_only: true
     name: output_size
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, c10::optional<int64_t>, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, ::std::optional<int64_t>, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -53117,18 +57007,18 @@
     name: repeats
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     kwarg_only: true
     name: output_size
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - Tensor
@@ -53151,7 +57041,7 @@
   overload_name: self_int
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::repeat_interleave.self_int(Tensor self, SymInt repeats, int? dim=None, *, int? output_size=None) -> Tensor
+  schema_string: aten::repeat_interleave.self_int(Tensor self, SymInt repeats, int? dim=None, *, SymInt? output_size=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -53164,19 +57054,19 @@
     name: repeats
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     kwarg_only: true
     name: output_size
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, c10::optional<int64_t>, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, ::std::optional<int64_t>, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -53189,18 +57079,18 @@
     name: repeats
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     kwarg_only: true
     name: output_size
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - Tensor
@@ -53764,12 +57654,12 @@
     name: training
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Scalar &, const at::Scalar &, bool, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Scalar &, const at::Scalar &, bool, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -53795,11 +57685,11 @@
     name: training
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - namespace
@@ -53847,12 +57737,12 @@
     name: training
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const at::Scalar &, const at::Scalar &, bool, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const at::Scalar &, const at::Scalar &, bool, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -53878,11 +57768,11 @@
     name: training
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - namespace
@@ -55810,12 +59700,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: eps
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -55823,11 +59713,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: eps
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - Tensor
@@ -55858,12 +59748,12 @@
     name: self
     type: at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: eps
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, ::std::optional<double>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -55871,11 +59761,11 @@
     name: self
     type: at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: eps
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - Tensor
@@ -55913,12 +59803,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: eps
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -55926,11 +59816,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: eps
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -56480,227 +60370,132 @@
   with_gil: false
   deprecated: false
   has_math_kernel: true
-- name: slice
-  operator_name: slice
-  overload_name: Tensor
+- name: sym_size
+  operator_name: sym_size
+  overload_name: int
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::slice.Tensor(Tensor(a) self, int dim=0, SymInt? start=None, SymInt? end=None, SymInt step=1) -> Tensor(a)
+  schema_string: aten::sym_size.int(Tensor self, int dim) -> SymInt
   arguments:
-  - annotation: a
+  - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: 0
     dynamic_type: int64_t
     is_nullable: false
     name: dim
     type: int64_t
-  - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
-    is_nullable: true
-    name: start
-    type: c10::optional<int64_t>
-  - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
-    is_nullable: true
-    name: end
-    type: c10::optional<int64_t>
-  - annotation: null
-    default: 1
-    dynamic_type: int64_t
-    is_nullable: false
-    name: step
-    type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, c10::optional<int64_t>, c10::optional<int64_t>, int64_t)
+  schema_order_cpp_signature: c10::SymInt (const at::Tensor &, int64_t)
   schema_order_arguments:
-  - annotation: a
+  - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: 0
     dynamic_type: int64_t
     is_nullable: false
     name: dim
     type: int64_t
-  - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
-    is_nullable: true
-    name: start
-    type: c10::optional<int64_t>
-  - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
-    is_nullable: true
-    name: end
-    type: c10::optional<int64_t>
-  - annotation: null
-    default: 1
-    dynamic_type: int64_t
-    is_nullable: false
-    name: step
-    type: int64_t
   method_of:
   - Type
-  - Tensor
   - namespace
   mode: native
   python_module: ''
   returns:
-  - dynamic_type: at::Tensor
+  - dynamic_type: int64_t
     name: result
-    type: at::Tensor
+    type: c10::SymInt
   inplace: false
   is_factory_method: false
-  abstract: true
+  abstract: false
   device_guard: false
   with_gil: false
   deprecated: false
-  has_math_kernel: false
-- name: slice_backward
-  operator_name: slice_backward
+  has_math_kernel: true
+- name: sym_numel
+  operator_name: sym_numel
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::slice_backward(Tensor grad_output, SymInt[] input_sizes, int dim, SymInt start, SymInt end, SymInt step) -> Tensor
+  schema_string: aten::sym_numel(Tensor self) -> SymInt
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: grad_output
+    name: self
     type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: input_sizes
-    type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: dim
-    type: int64_t
-  - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: start
-    type: int64_t
-  - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: end
-    type: int64_t
-  - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: step
-    type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, int64_t, int64_t, int64_t, int64_t)
+  schema_order_cpp_signature: c10::SymInt (const at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: grad_output
+    name: self
     type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: input_sizes
-    type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: dim
-    type: int64_t
-  - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: start
-    type: int64_t
-  - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: end
-    type: int64_t
-  - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: step
-    type: int64_t
   method_of:
   - Type
   - namespace
   mode: native
   python_module: ''
   returns:
-  - dynamic_type: at::Tensor
+  - dynamic_type: int64_t
     name: result
-    type: at::Tensor
+    type: c10::SymInt
   inplace: false
   is_factory_method: false
-  abstract: true
+  abstract: false
   device_guard: false
   with_gil: false
   deprecated: false
-  has_math_kernel: false
-- name: slice_scatter
-  operator_name: slice_scatter
+  has_math_kernel: true
+- name: sym_storage_offset
+  operator_name: sym_storage_offset
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::slice_scatter(Tensor self, Tensor src, int dim=0, SymInt? start=None, SymInt? end=None, SymInt step=1) -> Tensor
+  schema_string: aten::sym_storage_offset(Tensor self) -> SymInt
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
     name: self
     type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: src
-    type: const at::Tensor &
-  - annotation: null
-    default: 0
-    dynamic_type: int64_t
-    is_nullable: false
-    name: dim
-    type: int64_t
-  - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
-    is_nullable: true
-    name: start
-    type: c10::optional<int64_t>
-  - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
-    is_nullable: true
-    name: end
-    type: c10::optional<int64_t>
-  - annotation: null
-    default: 1
-    dynamic_type: int64_t
-    is_nullable: false
-    name: step
-    type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, int64_t, c10::optional<int64_t>, c10::optional<int64_t>, int64_t)
+  schema_order_cpp_signature: c10::SymInt (const at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
     name: self
     type: const at::Tensor &
-  - annotation: null
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: int64_t
+    name: result
+    type: c10::SymInt
+  inplace: false
+  is_factory_method: false
+  abstract: false
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: true
+- name: slice
+  operator_name: slice
+  overload_name: Tensor
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::slice.Tensor(Tensor(a) self, int dim=0, SymInt? start=None, SymInt? end=None, SymInt step=1) -> Tensor(a)
+  arguments:
+  - annotation: a
     dynamic_type: at::Tensor
     is_nullable: false
-    name: src
+    name: self
     type: const at::Tensor &
   - annotation: null
     default: 0
@@ -56709,17 +60504,321 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: start
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: end
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
+  - annotation: null
+    default: 1
+    dynamic_type: int64_t
+    is_nullable: false
+    name: step
+    type: int64_t
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, ::std::optional<int64_t>, ::std::optional<int64_t>, int64_t)
+  schema_order_arguments:
+  - annotation: a
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    default: 0
+    dynamic_type: int64_t
+    is_nullable: false
+    name: dim
+    type: int64_t
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    name: start
+    type: ::std::optional<int64_t>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    name: end
+    type: ::std::optional<int64_t>
+  - annotation: null
+    default: 1
+    dynamic_type: int64_t
+    is_nullable: false
+    name: step
+    type: int64_t
+  method_of:
+  - Type
+  - Tensor
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: slice_backward
+  operator_name: slice_backward
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::slice_backward(Tensor grad_output, SymInt[] input_sizes, int dim, SymInt start, SymInt end, SymInt step) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: grad_output
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: input_sizes
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: dim
+    type: int64_t
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: start
+    type: int64_t
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: end
+    type: int64_t
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: step
+    type: int64_t
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, int64_t, int64_t, int64_t, int64_t)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: grad_output
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: input_sizes
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: dim
+    type: int64_t
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: start
+    type: int64_t
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: end
+    type: int64_t
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: step
+    type: int64_t
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: slice_inverse
+  operator_name: slice_inverse
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::slice_inverse(Tensor(a) self, Tensor src, int dim=0, SymInt? start=None, SymInt? end=None, SymInt step=1) -> Tensor(a)
+  arguments:
+  - annotation: a
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: src
+    type: const at::Tensor &
+  - annotation: null
+    default: 0
+    dynamic_type: int64_t
+    is_nullable: false
+    name: dim
+    type: int64_t
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    name: start
+    type: ::std::optional<int64_t>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    name: end
+    type: ::std::optional<int64_t>
+  - annotation: null
+    default: 1
+    dynamic_type: int64_t
+    is_nullable: false
+    name: step
+    type: int64_t
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, int64_t, ::std::optional<int64_t>, ::std::optional<int64_t>, int64_t)
+  schema_order_arguments:
+  - annotation: a
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: src
+    type: const at::Tensor &
+  - annotation: null
+    default: 0
+    dynamic_type: int64_t
+    is_nullable: false
+    name: dim
+    type: int64_t
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    name: start
+    type: ::std::optional<int64_t>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    name: end
+    type: ::std::optional<int64_t>
+  - annotation: null
+    default: 1
+    dynamic_type: int64_t
+    is_nullable: false
+    name: step
+    type: int64_t
+  method_of:
+  - Type
+  - Tensor
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: slice_scatter
+  operator_name: slice_scatter
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::slice_scatter(Tensor self, Tensor src, int dim=0, SymInt? start=None, SymInt? end=None, SymInt step=1) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: src
+    type: const at::Tensor &
+  - annotation: null
+    default: 0
+    dynamic_type: int64_t
+    is_nullable: false
+    name: dim
+    type: int64_t
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    name: start
+    type: ::std::optional<int64_t>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    name: end
+    type: ::std::optional<int64_t>
+  - annotation: null
+    default: 1
+    dynamic_type: int64_t
+    is_nullable: false
+    name: step
+    type: int64_t
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, int64_t, ::std::optional<int64_t>, ::std::optional<int64_t>, int64_t)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: src
+    type: const at::Tensor &
+  - annotation: null
+    default: 0
+    dynamic_type: int64_t
+    is_nullable: false
+    name: dim
+    type: int64_t
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    name: start
+    type: ::std::optional<int64_t>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    name: end
+    type: ::std::optional<int64_t>
   - annotation: null
     default: 1
     dynamic_type: int64_t
@@ -56919,12 +61018,12 @@
     name: stride
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: storage_offset
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -56947,11 +61046,11 @@
     name: stride
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: storage_offset
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - Tensor
@@ -57033,12 +61132,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -57051,11 +61150,11 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - Tensor
@@ -57098,12 +61197,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, c10::optional<at::ScalarType>, at::Tensor &)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, ::std::optional<at::ScalarType>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -57116,11 +61215,11 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -57162,13 +61261,13 @@
     name: dim
     type: at::Dimname
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::Dimname, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::Dimname, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -57181,12 +61280,12 @@
     name: dim
     type: at::Dimname
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - Tensor
@@ -58563,6 +62662,130 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: _chunk_cat
+  operator_name: _chunk_cat
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_chunk_cat(Tensor[] tensors, int dim, int num_chunks) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensors
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: dim
+    type: int64_t
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: num_chunks
+    type: int64_t
+  schema_order_cpp_signature: at::Tensor (at::TensorList, int64_t, int64_t)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensors
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: dim
+    type: int64_t
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: num_chunks
+    type: int64_t
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _chunk_cat_out
+  operator_name: _chunk_cat
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_chunk_cat.out(Tensor[] tensors, int dim, int num_chunks, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensors
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: dim
+    type: int64_t
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: num_chunks
+    type: int64_t
+  schema_order_cpp_signature: at::Tensor & (at::TensorList, int64_t, int64_t, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensors
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: dim
+    type: int64_t
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: num_chunks
+    type: int64_t
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: stack
   operator_name: stack
   overload_name: ''
@@ -59049,23 +63272,23 @@
     name: n_fft
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: hop_length
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: win_length
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: window
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -59073,18 +63296,18 @@
     name: normalized
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     name: onesided
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     name: return_complex
-    type: c10::optional<bool>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, c10::optional<int64_t>, c10::optional<int64_t>, const c10::optional<at::Tensor> &, bool, c10::optional<bool>, c10::optional<bool>)
+    type: ::std::optional<bool>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, ::std::optional<int64_t>, ::std::optional<int64_t>, const ::std::optional<at::Tensor> &, bool, ::std::optional<bool>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -59097,23 +63320,23 @@
     name: n_fft
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: hop_length
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: win_length
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: window
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -59121,17 +63344,17 @@
     name: normalized
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     name: onesided
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     name: return_complex
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - Tensor
@@ -59167,23 +63390,23 @@
     name: n_fft
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: hop_length
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: win_length
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: window
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: true
     dynamic_type: bool
@@ -59203,18 +63426,18 @@
     name: normalized
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     name: onesided
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     name: return_complex
-    type: c10::optional<bool>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, c10::optional<int64_t>, c10::optional<int64_t>, const c10::optional<at::Tensor> &, bool, c10::string_view, bool, c10::optional<bool>, c10::optional<bool>)
+    type: ::std::optional<bool>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, ::std::optional<int64_t>, ::std::optional<int64_t>, const ::std::optional<at::Tensor> &, bool, c10::string_view, bool, ::std::optional<bool>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -59227,23 +63450,23 @@
     name: n_fft
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: hop_length
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: win_length
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: window
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: true
     dynamic_type: bool
@@ -59263,17 +63486,17 @@
     name: normalized
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     name: onesided
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     name: return_complex
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - Tensor
@@ -59309,23 +63532,23 @@
     name: n_fft
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: hop_length
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: win_length
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: window
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: true
     dynamic_type: bool
@@ -59339,24 +63562,24 @@
     name: normalized
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     name: onesided
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: length
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
     name: return_complex
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, c10::optional<int64_t>, c10::optional<int64_t>, const c10::optional<at::Tensor> &, bool, bool, c10::optional<bool>, c10::optional<int64_t>, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, ::std::optional<int64_t>, ::std::optional<int64_t>, const ::std::optional<at::Tensor> &, bool, bool, ::std::optional<bool>, ::std::optional<int64_t>, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -59369,23 +63592,23 @@
     name: n_fft
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: hop_length
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: win_length
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: window
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: true
     dynamic_type: bool
@@ -59399,17 +63622,17 @@
     name: normalized
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     name: onesided
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: length
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -59524,12 +63747,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: true
-- name: sum
-  operator_name: sum
-  overload_name: ''
+- name: sym_stride
+  operator_name: sym_stride
+  overload_name: int
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::sum(Tensor self, *, ScalarType? dtype=None) -> Tensor
+  schema_string: aten::sym_stride.int(Tensor self, int dim) -> SymInt
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -59537,75 +63760,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: at::ScalarType
-    is_nullable: true
-    kwarg_only: true
-    name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::ScalarType>)
-  schema_order_arguments:
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: self
-    type: const at::Tensor &
-  - annotation: null
-    default: c10::nullopt
-    dynamic_type: at::ScalarType
-    is_nullable: true
-    kwarg_only: true
-    name: dtype
-    type: c10::optional<at::ScalarType>
-  method_of:
-  - Type
-  - Tensor
-  - namespace
-  mode: native
-  python_module: ''
-  returns:
-  - dynamic_type: at::Tensor
-    name: result
-    type: at::Tensor
-  inplace: false
-  is_factory_method: false
-  abstract: true
-  device_guard: true
-  with_gil: false
-  deprecated: false
-  has_math_kernel: false
-- name: sum
-  operator_name: sum
-  overload_name: dim_IntList
-  manual_kernel_registration: false
-  category_override: ''
-  schema_string: aten::sum.dim_IntList(Tensor self, int[1]? dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor
-  arguments:
-  - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: int64_t
     is_nullable: false
-    name: self
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: true
     name: dim
-    size: 1
-    type: at::OptionalIntArrayRef
-  - annotation: null
-    default: false
-    dynamic_type: bool
-    is_nullable: false
-    name: keepdim
-    type: bool
-  - annotation: null
-    default: c10::nullopt
-    dynamic_type: at::ScalarType
-    is_nullable: true
-    kwarg_only: true
-    name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, bool, c10::optional<at::ScalarType>)
+    type: int64_t
+  schema_order_cpp_signature: c10::SymInt (const at::Tensor &, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -59613,47 +63772,32 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: true
-    name: dim
-    size: 1
-    type: at::OptionalIntArrayRef
-  - annotation: null
-    default: false
-    dynamic_type: bool
+    dynamic_type: int64_t
     is_nullable: false
-    name: keepdim
-    type: bool
-  - annotation: null
-    default: c10::nullopt
-    dynamic_type: at::ScalarType
-    is_nullable: true
-    kwarg_only: true
-    name: dtype
-    type: c10::optional<at::ScalarType>
+    name: dim
+    type: int64_t
   method_of:
   - Type
-  - Tensor
   - namespace
   mode: native
   python_module: ''
   returns:
-  - dynamic_type: at::Tensor
+  - dynamic_type: int64_t
     name: result
-    type: at::Tensor
+    type: c10::SymInt
   inplace: false
   is_factory_method: false
-  abstract: true
-  device_guard: true
+  abstract: false
+  device_guard: false
   with_gil: false
   deprecated: false
-  has_math_kernel: false
+  has_math_kernel: true
 - name: sum
   operator_name: sum
-  overload_name: dim_DimnameList
+  overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::sum.dim_DimnameList(Tensor self, Dimname[1] dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor
+  schema_string: aten::sum(Tensor self, *, ScalarType? dtype=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -59661,25 +63805,13 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::DimnameList
-    is_nullable: false
-    name: dim
-    size: 1
-    type: at::DimnameList
-  - annotation: null
-    default: false
-    dynamic_type: bool
-    is_nullable: false
-    name: keepdim
-    type: bool
-  - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::DimnameList, bool, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -59687,24 +63819,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::DimnameList
-    is_nullable: false
-    name: dim
-    size: 1
-    type: at::DimnameList
-  - annotation: null
-    default: false
-    dynamic_type: bool
-    is_nullable: false
-    name: keepdim
-    type: bool
-  - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - Tensor
@@ -59717,25 +63837,18 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
-- name: sum_out
+  has_math_kernel: false
+- name: sum
   operator_name: sum
-  overload_name: IntList_out
+  overload_name: dim_IntList
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::sum.IntList_out(Tensor self, int[1]? dim, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::sum.dim_IntList(Tensor self, int[1]? dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor
   arguments:
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -59754,13 +63867,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, bool, c10::optional<at::ScalarType>, at::Tensor &)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, bool, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -59780,28 +63893,22 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
+  - Tensor
   - namespace
   mode: native
   python_module: ''
   returns:
   - dynamic_type: at::Tensor
-    name: out
-    type: at::Tensor &
+    name: result
+    type: at::Tensor
   inplace: false
   is_factory_method: false
   abstract: true
@@ -59809,20 +63916,13 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: sum_out
+- name: sum
   operator_name: sum
-  overload_name: DimnameList_out
+  overload_name: dim_DimnameList
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::sum.DimnameList_out(Tensor self, Dimname[1] dim, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::sum.dim_DimnameList(Tensor self, Dimname[1] dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor
   arguments:
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -59841,13 +63941,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::DimnameList, bool, c10::optional<at::ScalarType>, at::Tensor &)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::DimnameList, bool, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -59867,12 +63967,180 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
+  method_of:
+  - Type
+  - Tensor
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: false
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: true
+- name: sum_out
+  operator_name: sum
+  overload_name: IntList_out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::sum.IntList_out(Tensor self, int[1]? dim, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: true
+    name: dim
+    size: 1
+    type: at::OptionalIntArrayRef
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: keepdim
+    type: bool
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, bool, ::std::optional<at::ScalarType>, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: true
+    name: dim
+    size: 1
+    type: at::OptionalIntArrayRef
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: keepdim
+    type: bool
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: sum_out
+  operator_name: sum
+  overload_name: DimnameList_out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::sum.DimnameList_out(Tensor self, Dimname[1] dim, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::DimnameList
+    is_nullable: false
+    name: dim
+    size: 1
+    type: at::DimnameList
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: keepdim
+    type: bool
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::DimnameList, bool, ::std::optional<at::ScalarType>, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::DimnameList
+    is_nullable: false
+    name: dim
+    size: 1
+    type: at::DimnameList
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: keepdim
+    type: bool
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -59978,7 +64246,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
@@ -59991,13 +64259,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, bool, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, bool, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -60005,7 +64273,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
@@ -60018,12 +64286,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - Tensor
@@ -60061,7 +64329,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
@@ -60074,13 +64342,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, bool, c10::optional<at::ScalarType>, at::Tensor &)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, bool, ::std::optional<at::ScalarType>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -60088,7 +64356,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
@@ -60101,12 +64369,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -60135,7 +64403,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::sum_to_size(Tensor self, int[] size) -> Tensor
+  schema_string: aten::sum_to_size(Tensor self, SymInt[] size) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -60542,7 +64810,7 @@
   overload_name: correction
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::std.correction(Tensor self, int[1]? dim=None, *, int? correction=None, bool keepdim=False) -> Tensor
+  schema_string: aten::std.correction(Tensor self, int[1]? dim=None, *, Scalar? correction=None, bool keepdim=False) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -60550,19 +64818,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -60570,7 +64838,7 @@
     kwarg_only: true
     name: keepdim
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, c10::optional<int64_t>, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, const ::std::optional<at::Scalar> &, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -60578,19 +64846,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -60744,7 +65012,7 @@
   overload_name: correction
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::std_mean.correction(Tensor self, int[1]? dim=None, *, int? correction=None, bool keepdim=False) -> (Tensor, Tensor)
+  schema_string: aten::std_mean.correction(Tensor self, int[1]? dim=None, *, Scalar? correction=None, bool keepdim=False) -> (Tensor, Tensor)
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -60752,19 +65020,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -60772,7 +65040,7 @@
     kwarg_only: true
     name: keepdim
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, at::OptionalIntArrayRef, c10::optional<int64_t>, bool)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, at::OptionalIntArrayRef, const ::std::optional<at::Scalar> &, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -60780,19 +65048,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -60898,7 +65166,7 @@
   overload_name: correction_names
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::std_mean.correction_names(Tensor self, Dimname[1] dim, *, int? correction=None, bool keepdim=False) -> (Tensor, Tensor)
+  schema_string: aten::std_mean.correction_names(Tensor self, Dimname[1] dim, *, Scalar? correction=None, bool keepdim=False) -> (Tensor, Tensor)
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -60912,12 +65180,12 @@
     size: 1
     type: at::DimnameList
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -60925,7 +65193,7 @@
     kwarg_only: true
     name: keepdim
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, at::DimnameList, c10::optional<int64_t>, bool)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, at::DimnameList, const ::std::optional<at::Scalar> &, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -60939,12 +65207,12 @@
     size: 1
     type: at::DimnameList
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -61061,7 +65329,7 @@
   overload_name: correction_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::std.correction_out(Tensor self, int[1]? dim=None, *, int? correction=None, bool keepdim=False, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::std.correction_out(Tensor self, int[1]? dim=None, *, Scalar? correction=None, bool keepdim=False, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -61076,19 +65344,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -61096,7 +65364,7 @@
     kwarg_only: true
     name: keepdim
     type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, c10::optional<int64_t>, bool, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, const ::std::optional<at::Scalar> &, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -61104,19 +65372,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -61309,7 +65577,7 @@
   overload_name: correction_names
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::std.correction_names(Tensor self, Dimname[1] dim, *, int? correction=None, bool keepdim=False) -> Tensor
+  schema_string: aten::std.correction_names(Tensor self, Dimname[1] dim, *, Scalar? correction=None, bool keepdim=False) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -61323,12 +65591,12 @@
     size: 1
     type: at::DimnameList
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -61336,7 +65604,7 @@
     kwarg_only: true
     name: keepdim
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::DimnameList, c10::optional<int64_t>, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::DimnameList, const ::std::optional<at::Scalar> &, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -61350,12 +65618,12 @@
     size: 1
     type: at::DimnameList
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -61385,7 +65653,7 @@
   overload_name: correction_names_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::std.correction_names_out(Tensor self, Dimname[1] dim, *, int? correction=None, bool keepdim=False, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::std.correction_names_out(Tensor self, Dimname[1] dim, *, Scalar? correction=None, bool keepdim=False, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -61406,12 +65674,12 @@
     size: 1
     type: at::DimnameList
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -61419,7 +65687,7 @@
     kwarg_only: true
     name: keepdim
     type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::DimnameList, c10::optional<int64_t>, bool, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::DimnameList, const ::std::optional<at::Scalar> &, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -61433,12 +65701,12 @@
     size: 1
     type: at::DimnameList
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -61482,13 +65750,13 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -61496,12 +65764,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - Tensor
@@ -61543,13 +65811,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, bool, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, bool, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -61568,12 +65836,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - Tensor
@@ -61622,13 +65890,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, bool, c10::optional<at::ScalarType>, at::Tensor &)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, bool, ::std::optional<at::ScalarType>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -61647,12 +65915,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -61700,13 +65968,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::Dimname, bool, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::Dimname, bool, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -61725,12 +65993,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - Tensor
@@ -61779,13 +66047,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::Dimname, bool, c10::optional<at::ScalarType>, at::Tensor &)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::Dimname, bool, ::std::optional<at::ScalarType>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -61804,12 +66072,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -62285,11 +66553,11 @@
     type: at::Tensor &
   inplace: false
   is_factory_method: false
-  abstract: true
+  abstract: false
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: false
+  has_math_kernel: true
 - name: threshold
   operator_name: threshold
   overload_name: ''
@@ -62598,7 +66866,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::tile(Tensor self, int[] dims) -> Tensor
+  schema_string: aten::tile(Tensor self, SymInt[] dims) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -63086,7 +67354,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::roll(Tensor self, int[1] shifts, int[1] dims=[]) -> Tensor
+  schema_string: aten::roll(Tensor self, SymInt[1] shifts, int[1] dims=[]) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -63737,19 +68005,19 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _nested_tensor_offsets
-  operator_name: _nested_tensor_offsets
+- name: _nested_tensor_storage_offsets
+  operator_name: _nested_tensor_storage_offsets
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_nested_tensor_offsets(Tensor self) -> int[]
+  schema_string: aten::_nested_tensor_storage_offsets(Tensor self) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
     name: self
     type: const at::Tensor &
-  schema_order_cpp_signature: ::std::vector<int64_t> (const at::Tensor &)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -63762,9 +68030,9 @@
   mode: native
   python_module: ''
   returns:
-  - dynamic_type: at::IntArrayRef
+  - dynamic_type: at::Tensor
     name: result
-    type: ::std::vector<int64_t>
+    type: at::Tensor
   inplace: false
   is_factory_method: false
   abstract: true
@@ -63822,7 +68090,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_nested_view_from_buffer(Tensor(a) self, Tensor nested_size, Tensor nested_strides, int[] offsets) -> Tensor(a)
+  schema_string: aten::_nested_view_from_buffer(Tensor(a) self, Tensor nested_size, Tensor nested_strides, Tensor offsets) -> Tensor(a)
   arguments:
   - annotation: a
     dynamic_type: at::Tensor
@@ -63840,11 +68108,11 @@
     name: nested_strides
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::IntArrayRef
+    dynamic_type: at::Tensor
     is_nullable: false
     name: offsets
-    type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef)
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &)
   schema_order_arguments:
   - annotation: a
     dynamic_type: at::Tensor
@@ -63862,10 +68130,10 @@
     name: nested_strides
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::IntArrayRef
+    dynamic_type: at::Tensor
     is_nullable: false
     name: offsets
-    type: at::IntArrayRef
+    type: const at::Tensor &
   method_of:
   - Type
   - namespace
@@ -63887,7 +68155,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_nested_view_from_buffer_copy(Tensor self, Tensor nested_size, Tensor nested_strides, int[] offsets) -> Tensor
+  schema_string: aten::_nested_view_from_buffer_copy(Tensor self, Tensor nested_size, Tensor nested_strides, Tensor offsets) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -63905,11 +68173,11 @@
     name: nested_strides
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::IntArrayRef
+    dynamic_type: at::Tensor
     is_nullable: false
     name: offsets
-    type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef)
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -63927,10 +68195,10 @@
     name: nested_strides
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::IntArrayRef
+    dynamic_type: at::Tensor
     is_nullable: false
     name: offsets
-    type: at::IntArrayRef
+    type: const at::Tensor &
   method_of:
   - Type
   - namespace
@@ -63947,55 +68215,579 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _trilinear
-  operator_name: _trilinear
+- name: _nested_view_from_jagged
+  operator_name: _nested_view_from_jagged
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_trilinear(Tensor i1, Tensor i2, Tensor i3, int[] expand1, int[] expand2, int[] expand3, int[] sumdim, int unroll_dim=1) -> Tensor
+  schema_string: aten::_nested_view_from_jagged(Tensor(a) self, Tensor offsets, Tensor dummy, Tensor? lengths=None, int ragged_idx=1, Tensor? min_seqlen=None, Tensor? max_seqlen=None) -> Tensor(a)
   arguments:
+  - annotation: a
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: i1
+    name: offsets
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: i2
+    name: dummy
     type: const at::Tensor &
   - annotation: null
+    default: '{}'
     dynamic_type: at::Tensor
+    is_nullable: true
+    name: lengths
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: 1
+    dynamic_type: int64_t
     is_nullable: false
-    name: i3
+    name: ragged_idx
+    type: int64_t
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: min_seqlen
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: max_seqlen
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
+  schema_order_arguments:
+  - annotation: a
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::IntArrayRef
+    dynamic_type: at::Tensor
     is_nullable: false
-    name: expand1
-    type: at::IntArrayRef
+    name: offsets
+    type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::IntArrayRef
+    dynamic_type: at::Tensor
     is_nullable: false
-    name: expand2
-    type: at::IntArrayRef
+    name: dummy
+    type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::IntArrayRef
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: lengths
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: 1
+    dynamic_type: int64_t
     is_nullable: false
-    name: expand3
-    type: at::IntArrayRef
+    name: ragged_idx
+    type: int64_t
   - annotation: null
-    dynamic_type: at::IntArrayRef
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: min_seqlen
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: max_seqlen
+    type: const ::std::optional<at::Tensor> &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _nested_view_from_jagged_copy
+  operator_name: _nested_view_from_jagged_copy
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_nested_view_from_jagged_copy(Tensor self, Tensor offsets, Tensor dummy, Tensor? lengths=None, int ragged_idx=1, Tensor? min_seqlen=None, Tensor? max_seqlen=None) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
     is_nullable: false
-    name: sumdim
-    type: at::IntArrayRef
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: offsets
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: dummy
+    type: const at::Tensor &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: lengths
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: int64_t
     is_nullable: false
-    name: unroll_dim
+    name: ragged_idx
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t)
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: min_seqlen
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: max_seqlen
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: offsets
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: dummy
+    type: const at::Tensor &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: lengths
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: 1
+    dynamic_type: int64_t
+    is_nullable: false
+    name: ragged_idx
+    type: int64_t
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: min_seqlen
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: max_seqlen
+    type: const ::std::optional<at::Tensor> &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _nested_get_values
+  operator_name: _nested_get_values
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_nested_get_values(Tensor(a) self) -> Tensor(a)
+  arguments:
+  - annotation: a
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &)
+  schema_order_arguments:
+  - annotation: a
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _nested_get_values_copy
+  operator_name: _nested_get_values_copy
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_nested_get_values_copy(Tensor self) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _nested_get_offsets
+  operator_name: _nested_get_offsets
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_nested_get_offsets(Tensor self) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _nested_get_lengths
+  operator_name: _nested_get_lengths
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_nested_get_lengths(Tensor self) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _nested_get_ragged_idx
+  operator_name: _nested_get_ragged_idx
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_nested_get_ragged_idx(Tensor self) -> int
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  schema_order_cpp_signature: int64_t (const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: int64_t
+    name: result
+    type: int64_t
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _nested_get_min_seqlen
+  operator_name: _nested_get_min_seqlen
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_nested_get_min_seqlen(Tensor self) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _nested_get_max_seqlen
+  operator_name: _nested_get_max_seqlen
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_nested_get_max_seqlen(Tensor self) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _nested_get_jagged_dummy
+  operator_name: _nested_get_jagged_dummy
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: dummy
+  schema_string: aten::_nested_get_jagged_dummy(Tensor any) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: any
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: any
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _nested_compute_contiguous_strides_offsets
+  operator_name: _nested_compute_contiguous_strides_offsets
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_nested_compute_contiguous_strides_offsets(Tensor nested_size) -> (Tensor, Tensor)
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: nested_size
+    type: const at::Tensor &
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: nested_size
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result0
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    name: result1
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _trilinear
+  operator_name: _trilinear
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_trilinear(Tensor i1, Tensor i2, Tensor i3, int[] expand1, int[] expand2, int[] expand3, int[] sumdim, int unroll_dim=1) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: i1
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: i2
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: i3
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: expand1
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: expand2
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: expand3
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: sumdim
+    type: at::IntArrayRef
+  - annotation: null
+    default: 1
+    dynamic_type: int64_t
+    is_nullable: false
+    name: unroll_dim
+    type: int64_t
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -64675,12 +69467,12 @@
     name: return_counts
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, bool, bool, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, bool, bool, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -64700,11 +69492,11 @@
     name: return_counts
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - namespace
@@ -65028,18 +69820,18 @@
     name: x
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: N
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
     name: increasing
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<int64_t>, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<int64_t>, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -65047,11 +69839,11 @@
     name: x
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: N
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -65199,7 +69991,7 @@
   overload_name: correction
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::var.correction(Tensor self, int[1]? dim=None, *, int? correction=None, bool keepdim=False) -> Tensor
+  schema_string: aten::var.correction(Tensor self, int[1]? dim=None, *, Scalar? correction=None, bool keepdim=False) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -65207,19 +69999,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -65227,7 +70019,7 @@
     kwarg_only: true
     name: keepdim
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, c10::optional<int64_t>, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, const ::std::optional<at::Scalar> &, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -65235,19 +70027,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -65362,7 +70154,7 @@
   overload_name: correction_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::var.correction_out(Tensor self, int[1]? dim=None, *, int? correction=None, bool keepdim=False, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::var.correction_out(Tensor self, int[1]? dim=None, *, Scalar? correction=None, bool keepdim=False, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -65377,19 +70169,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -65397,7 +70189,7 @@
     kwarg_only: true
     name: keepdim
     type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, c10::optional<int64_t>, bool, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, const ::std::optional<at::Scalar> &, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -65405,19 +70197,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -65610,7 +70402,7 @@
   overload_name: correction_names
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::var.correction_names(Tensor self, Dimname[1] dim, *, int? correction=None, bool keepdim=False) -> Tensor
+  schema_string: aten::var.correction_names(Tensor self, Dimname[1] dim, *, Scalar? correction=None, bool keepdim=False) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -65624,12 +70416,12 @@
     size: 1
     type: at::DimnameList
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -65637,7 +70429,7 @@
     kwarg_only: true
     name: keepdim
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::DimnameList, c10::optional<int64_t>, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::DimnameList, const ::std::optional<at::Scalar> &, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -65651,12 +70443,12 @@
     size: 1
     type: at::DimnameList
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -65686,7 +70478,7 @@
   overload_name: correction_names_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::var.correction_names_out(Tensor self, Dimname[1] dim, *, int? correction=None, bool keepdim=False, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::var.correction_names_out(Tensor self, Dimname[1] dim, *, Scalar? correction=None, bool keepdim=False, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -65707,12 +70499,12 @@
     size: 1
     type: at::DimnameList
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -65720,7 +70512,7 @@
     kwarg_only: true
     name: keepdim
     type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::DimnameList, c10::optional<int64_t>, bool, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::DimnameList, const ::std::optional<at::Scalar> &, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -65734,12 +70526,12 @@
     size: 1
     type: at::DimnameList
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -65899,7 +70691,7 @@
   overload_name: correction
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::var_mean.correction(Tensor self, int[1]? dim=None, *, int? correction=None, bool keepdim=False) -> (Tensor, Tensor)
+  schema_string: aten::var_mean.correction(Tensor self, int[1]? dim=None, *, Scalar? correction=None, bool keepdim=False) -> (Tensor, Tensor)
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -65907,19 +70699,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -65927,7 +70719,7 @@
     kwarg_only: true
     name: keepdim
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, at::OptionalIntArrayRef, c10::optional<int64_t>, bool)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, at::OptionalIntArrayRef, const ::std::optional<at::Scalar> &, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -65935,19 +70727,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -66053,7 +70845,7 @@
   overload_name: correction_names
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::var_mean.correction_names(Tensor self, Dimname[1] dim, *, int? correction=None, bool keepdim=False) -> (Tensor, Tensor)
+  schema_string: aten::var_mean.correction_names(Tensor self, Dimname[1] dim, *, Scalar? correction=None, bool keepdim=False) -> (Tensor, Tensor)
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -66067,12 +70859,12 @@
     size: 1
     type: at::DimnameList
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -66080,7 +70872,7 @@
     kwarg_only: true
     name: keepdim
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, at::DimnameList, c10::optional<int64_t>, bool)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, at::DimnameList, const ::std::optional<at::Scalar> &, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -66094,12 +70886,12 @@
     size: 1
     type: at::DimnameList
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -66846,7 +71638,7 @@
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - annotation: null
     default: '{}'
     dynamic_type: at::TensorOptions
@@ -66854,7 +71646,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, c10::optional<at::DimnameList>, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, ::std::optional<at::DimnameList>, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -66866,35 +71658,35 @@
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -66916,7 +71708,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_efficientzerotensor(int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
+  schema_string: aten::_efficientzerotensor(SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -66930,7 +71722,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -66938,33 +71730,33 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -67000,7 +71792,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -67008,33 +71800,33 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -67120,13 +71912,13 @@
     name: options
     type: at::TensorOptions
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>, c10::optional<at::MemoryFormat>)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>, ::std::optional<at::MemoryFormat>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -67134,40 +71926,40 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   method_of:
   - Type
   - namespace
@@ -67242,12 +72034,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -67255,11 +72047,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - namespace
@@ -67344,12 +72136,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -67357,11 +72149,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - namespace
@@ -67391,12 +72183,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -67404,11 +72196,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - namespace
@@ -67443,12 +72235,12 @@
     name: prob
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -67461,11 +72253,11 @@
     name: prob
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - namespace
@@ -67545,7 +72337,7 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -67561,8 +72353,8 @@
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::optional<at::Scalar> &, at::IntArrayRef, bool, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const ::std::optional<at::Scalar> &, at::IntArrayRef, bool, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -67573,7 +72365,7 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -67589,7 +72381,7 @@
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - namespace
@@ -67606,6 +72398,515 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: _batch_norm_with_update
+  operator_name: _batch_norm_with_update
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_batch_norm_with_update(Tensor input, Tensor? weight, Tensor? bias, Tensor(a!) running_mean, Tensor(b!) running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor, Tensor)
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: weight
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: running_mean
+    type: at::Tensor &
+  - annotation: b!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: running_var
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: momentum
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: eps
+    type: double
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, at::Tensor &, at::Tensor &, double, double)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: weight
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: running_mean
+    type: at::Tensor &
+  - annotation: b!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: running_var
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: momentum
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: eps
+    type: double
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result0
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    name: result1
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    name: result2
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    name: result3
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _batch_norm_with_update_out
+  operator_name: _batch_norm_with_update
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_batch_norm_with_update.out(Tensor input, Tensor? weight, Tensor? bias, Tensor(a!) running_mean, Tensor(b!) running_var, float momentum, float eps, *, Tensor(d!) out, Tensor(e!) save_mean, Tensor(f!) save_invstd, Tensor(g!) reserve) -> (Tensor(d!), Tensor(e!), Tensor(f!), Tensor(g!))
+  arguments:
+  - allocate: true
+    annotation: d!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - allocate: true
+    annotation: e!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: save_mean
+    output: true
+    type: at::Tensor &
+  - allocate: true
+    annotation: f!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: save_invstd
+    output: true
+    type: at::Tensor &
+  - allocate: true
+    annotation: g!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: reserve
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: weight
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: running_mean
+    type: at::Tensor &
+  - annotation: b!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: running_var
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: momentum
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: eps
+    type: double
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, at::Tensor &, at::Tensor &, double, double, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: weight
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: running_mean
+    type: at::Tensor &
+  - annotation: b!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: running_var
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: momentum
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: eps
+    type: double
+  - allocate: true
+    annotation: d!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - allocate: true
+    annotation: e!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: save_mean
+    output: true
+    type: at::Tensor &
+  - allocate: true
+    annotation: f!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: save_invstd
+    output: true
+    type: at::Tensor &
+  - allocate: true
+    annotation: g!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: reserve
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  - dynamic_type: at::Tensor
+    name: save_mean
+    type: at::Tensor &
+  - dynamic_type: at::Tensor
+    name: save_invstd
+    type: at::Tensor &
+  - dynamic_type: at::Tensor
+    name: reserve
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _batch_norm_no_update
+  operator_name: _batch_norm_no_update
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_batch_norm_no_update(Tensor input, Tensor? weight, Tensor? bias, Tensor? running_mean, Tensor? running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor, Tensor)
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: weight
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: running_mean
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: running_var
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: momentum
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: eps
+    type: double
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, double, double)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: weight
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: running_mean
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: running_var
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: momentum
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: eps
+    type: double
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result0
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    name: result1
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    name: result2
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    name: result3
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: batch_norm_backward
+  operator_name: batch_norm_backward
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::batch_norm_backward(Tensor grad_out, Tensor input, Tensor weight, Tensor? running_mean, Tensor? running_var, Tensor? save_mean, Tensor? save_var, bool update, float eps, bool[3] output_mask, Tensor reserve) -> (Tensor, Tensor, Tensor)
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: grad_out
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: weight
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: running_mean
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: running_var
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: save_mean
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: save_var
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    name: update
+    type: bool
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: eps
+    type: double
+  - annotation: null
+    dynamic_type: ::std::array<bool,3>
+    is_nullable: false
+    name: output_mask
+    type: ::std::array<bool,3>
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: reserve
+    type: const at::Tensor &
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, bool, double, ::std::array<bool,3>, const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: grad_out
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: weight
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: running_mean
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: running_var
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: save_mean
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: save_var
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    name: update
+    type: bool
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: eps
+    type: double
+  - annotation: null
+    dynamic_type: ::std::array<bool,3>
+    is_nullable: false
+    name: output_mask
+    type: ::std::array<bool,3>
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: reserve
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result0
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    name: result1
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    name: result2
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: _sparse_sum
   operator_name: _sparse_sum
   overload_name: ''
@@ -67874,13 +73175,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, bool, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, bool, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -67900,12 +73201,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - namespace
@@ -67947,13 +73248,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, bool, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, bool, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -67973,12 +73274,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - namespace
@@ -68013,12 +73314,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -68031,11 +73332,11 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - namespace
@@ -68070,13 +73371,13 @@
     name: dim
     type: at::Dimname
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::Dimname, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::Dimname, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -68089,12 +73390,12 @@
     name: dim
     type: at::Dimname
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - namespace
@@ -68249,12 +73550,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -68267,11 +73568,11 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - namespace
@@ -68306,13 +73607,13 @@
     name: dim
     type: at::Dimname
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::Dimname, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::Dimname, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -68325,12 +73626,12 @@
     name: dim
     type: at::Dimname
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - namespace
@@ -68490,12 +73791,12 @@
     name: shape
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     name: layout
-    type: c10::optional<at::Layout>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, c10::optional<at::Layout>)
+    type: ::std::optional<at::Layout>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, ::std::optional<at::Layout>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -68513,11 +73814,11 @@
     name: shape
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   method_of:
   - Type
   - namespace
@@ -68550,14 +73851,14 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::ScalarType
     is_nullable: false
     kwarg_only: true
     name: dtype
     type: at::ScalarType
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::optional<at::Scalar> &, at::ScalarType)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const ::std::optional<at::Scalar> &, at::ScalarType)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -68568,7 +73869,7 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::ScalarType
     is_nullable: false
@@ -68656,7 +73957,7 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -68674,7 +73975,7 @@
     kwarg_only: true
     name: dtype
     type: at::ScalarType
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::optional<at::Scalar> &, at::IntArrayRef, bool, at::ScalarType)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const ::std::optional<at::Scalar> &, at::IntArrayRef, bool, at::ScalarType)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -68685,7 +73986,7 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -68736,7 +74037,7 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -68749,7 +74050,7 @@
     is_nullable: false
     name: keepdim
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::optional<at::Scalar> &, at::IntArrayRef, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const ::std::optional<at::Scalar> &, at::IntArrayRef, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -68760,7 +74061,7 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -68813,7 +74114,7 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -68831,7 +74132,7 @@
     kwarg_only: true
     name: dtype
     type: at::ScalarType
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const c10::optional<at::Scalar> &, at::IntArrayRef, bool, at::ScalarType, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const ::std::optional<at::Scalar> &, at::IntArrayRef, bool, at::ScalarType, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -68842,7 +74143,7 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -68906,7 +74207,7 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -68919,7 +74220,7 @@
     is_nullable: false
     name: keepdim
     type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const c10::optional<at::Scalar> &, at::IntArrayRef, bool, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const ::std::optional<at::Scalar> &, at::IntArrayRef, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -68930,7 +74231,7 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -68982,7 +74283,7 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::DimnameList
     is_nullable: false
@@ -69000,7 +74301,7 @@
     kwarg_only: true
     name: dtype
     type: at::ScalarType
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::optional<at::Scalar> &, at::DimnameList, bool, at::ScalarType)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const ::std::optional<at::Scalar> &, at::DimnameList, bool, at::ScalarType)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -69011,7 +74312,7 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::DimnameList
     is_nullable: false
@@ -69062,7 +74363,7 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::DimnameList
     is_nullable: false
@@ -69075,7 +74376,7 @@
     is_nullable: false
     name: keepdim
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::optional<at::Scalar> &, at::DimnameList, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const ::std::optional<at::Scalar> &, at::DimnameList, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -69086,7 +74387,7 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::DimnameList
     is_nullable: false
@@ -69139,7 +74440,7 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::DimnameList
     is_nullable: false
@@ -69157,7 +74458,7 @@
     kwarg_only: true
     name: dtype
     type: at::ScalarType
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const c10::optional<at::Scalar> &, at::DimnameList, bool, at::ScalarType, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const ::std::optional<at::Scalar> &, at::DimnameList, bool, at::ScalarType, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -69168,7 +74469,7 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::DimnameList
     is_nullable: false
@@ -69232,7 +74533,7 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::DimnameList
     is_nullable: false
@@ -69245,7 +74546,7 @@
     is_nullable: false
     name: keepdim
     type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const c10::optional<at::Scalar> &, at::DimnameList, bool, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const ::std::optional<at::Scalar> &, at::DimnameList, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -69256,7 +74557,7 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::DimnameList
     is_nullable: false
@@ -69790,13 +75091,13 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::MemoryFormat>)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::MemoryFormat>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -69804,12 +75105,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   method_of:
   - Type
   - Tensor
@@ -69881,13 +75182,13 @@
     name: the_template
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: const at::Tensor & (const at::Tensor &, const at::Tensor &, c10::optional<at::MemoryFormat>)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: const at::Tensor & (const at::Tensor &, const at::Tensor &, ::std::optional<at::MemoryFormat>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -69900,12 +75201,12 @@
     name: the_template
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   method_of:
   - Type
   - Tensor
@@ -71767,89 +77068,103 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: sparse_compressed_tensor
-  operator_name: sparse_compressed_tensor
-  overload_name: comp_plain_value_size
+- name: _scaled_mm
+  operator_name: _scaled_mm
+  overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::sparse_compressed_tensor.comp_plain_value_size(Tensor compressed_indices, Tensor plain_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
+  schema_string: aten::_scaled_mm(Tensor self, Tensor mat2, Tensor scale_a, Tensor scale_b, Tensor? bias=None, Tensor? scale_result=None, ScalarType? out_dtype=None, bool use_fast_accum=False) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: compressed_indices
+    name: self
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: plain_indices
+    name: mat2
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: values
+    name: scale_a
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::IntArrayRef
+    dynamic_type: at::Tensor
     is_nullable: false
-    name: size
-    type: at::IntArrayRef
+    name: scale_b
+    type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::TensorOptions
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: scale_result
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    name: out_dtype
+    type: ::std::optional<at::ScalarType>
+  - annotation: null
+    default: false
+    dynamic_type: bool
     is_nullable: false
-    kwarg_only: true
-    name: options
-    type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+    name: use_fast_accum
+    type: bool
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, ::std::optional<at::ScalarType>, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: compressed_indices
+    name: self
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: plain_indices
+    name: mat2
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: values
+    name: scale_a
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::IntArrayRef
+    dynamic_type: at::Tensor
     is_nullable: false
-    name: size
-    type: at::IntArrayRef
+    name: scale_b
+    type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: at::ScalarType
+    default: '{}'
+    dynamic_type: at::Tensor
     is_nullable: true
-    kwarg_only: true
-    name: dtype
-    type: c10::optional<at::ScalarType>
+    name: bias
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: at::Layout
+    default: '{}'
+    dynamic_type: at::Tensor
     is_nullable: true
-    kwarg_only: true
-    name: layout
-    type: c10::optional<at::Layout>
+    name: scale_result
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: at::Device
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
     is_nullable: true
-    kwarg_only: true
-    name: device
-    type: c10::optional<at::Device>
+    name: out_dtype
+    type: ::std::optional<at::ScalarType>
   - annotation: null
     default: false
     dynamic_type: bool
-    is_nullable: true
-    kwarg_only: true
-    name: pin_memory
-    type: c10::optional<bool>
+    is_nullable: false
+    name: use_fast_accum
+    type: bool
   method_of:
   - Type
   - namespace
@@ -71860,95 +77175,123 @@
     name: result
     type: at::Tensor
   inplace: false
-  is_factory_method: true
-  abstract: false
+  is_factory_method: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
-- name: sparse_csr_tensor
-  operator_name: sparse_csr_tensor
-  overload_name: crow_col_value_size
+  has_math_kernel: false
+- name: _scaled_mm_out
+  operator_name: _scaled_mm
+  overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::sparse_csr_tensor.crow_col_value_size(Tensor crow_indices, Tensor col_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
+  schema_string: aten::_scaled_mm.out(Tensor self, Tensor mat2, Tensor scale_a, Tensor scale_b, Tensor? bias=None, Tensor? scale_result=None, ScalarType? out_dtype=None, bool use_fast_accum=False, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: crow_indices
+    name: self
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: col_indices
+    name: mat2
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: values
+    name: scale_a
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::IntArrayRef
+    dynamic_type: at::Tensor
     is_nullable: false
-    name: size
-    type: at::IntArrayRef
+    name: scale_b
+    type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::TensorOptions
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: scale_result
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    name: out_dtype
+    type: ::std::optional<at::ScalarType>
+  - annotation: null
+    default: false
+    dynamic_type: bool
     is_nullable: false
-    kwarg_only: true
-    name: options
-    type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+    name: use_fast_accum
+    type: bool
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, ::std::optional<at::ScalarType>, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: crow_indices
+    name: self
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: col_indices
+    name: mat2
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: values
+    name: scale_a
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::IntArrayRef
+    dynamic_type: at::Tensor
     is_nullable: false
-    name: size
-    type: at::IntArrayRef
+    name: scale_b
+    type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: at::ScalarType
+    default: '{}'
+    dynamic_type: at::Tensor
     is_nullable: true
-    kwarg_only: true
-    name: dtype
-    type: c10::optional<at::ScalarType>
+    name: bias
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: at::Layout
+    default: '{}'
+    dynamic_type: at::Tensor
     is_nullable: true
-    kwarg_only: true
-    name: layout
-    type: c10::optional<at::Layout>
+    name: scale_result
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: at::Device
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
     is_nullable: true
-    kwarg_only: true
-    name: device
-    type: c10::optional<at::Device>
+    name: out_dtype
+    type: ::std::optional<at::ScalarType>
   - annotation: null
     default: false
     dynamic_type: bool
-    is_nullable: true
-    kwarg_only: true
-    name: pin_memory
-    type: c10::optional<bool>
+    is_nullable: false
+    name: use_fast_accum
+    type: bool
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
   method_of:
   - Type
   - namespace
@@ -71956,98 +77299,108 @@
   python_module: ''
   returns:
   - dynamic_type: at::Tensor
-    name: result
-    type: at::Tensor
+    name: out
+    type: at::Tensor &
   inplace: false
-  is_factory_method: true
-  abstract: false
+  is_factory_method: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
-- name: sparse_csc_tensor
-  operator_name: sparse_csc_tensor
-  overload_name: ccol_row_value_size
+  has_math_kernel: false
+- name: _sparse_compressed_tensor_with_dims
+  operator_name: _sparse_compressed_tensor_with_dims
+  overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::sparse_csc_tensor.ccol_row_value_size(Tensor ccol_indices, Tensor row_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
+  schema_string: aten::_sparse_compressed_tensor_with_dims(int nnz, int dense_dim, int[] size, int[] blocksize, ScalarType index_dtype, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
   arguments:
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: int64_t
     is_nullable: false
-    name: ccol_indices
-    type: const at::Tensor &
+    name: nnz
+    type: int64_t
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: int64_t
     is_nullable: false
-    name: row_indices
-    type: const at::Tensor &
+    name: dense_dim
+    type: int64_t
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: at::IntArrayRef
     is_nullable: false
-    name: values
-    type: const at::Tensor &
+    name: size
+    type: at::IntArrayRef
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
-    name: size
+    name: blocksize
     type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: at::ScalarType
+    is_nullable: false
+    name: index_dtype
+    type: at::ScalarType
   - annotation: null
     dynamic_type: at::TensorOptions
     is_nullable: false
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, int64_t, at::IntArrayRef, at::IntArrayRef, at::ScalarType, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: int64_t
     is_nullable: false
-    name: ccol_indices
-    type: const at::Tensor &
+    name: nnz
+    type: int64_t
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: int64_t
     is_nullable: false
-    name: row_indices
-    type: const at::Tensor &
+    name: dense_dim
+    type: int64_t
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: at::IntArrayRef
     is_nullable: false
-    name: values
-    type: const at::Tensor &
+    name: size
+    type: at::IntArrayRef
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
-    name: size
+    name: blocksize
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: false
+    name: index_dtype
+    type: at::ScalarType
+  - annotation: null
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -72059,27 +77412,27 @@
     type: at::Tensor
   inplace: false
   is_factory_method: true
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
-- name: sparse_bsr_tensor
-  operator_name: sparse_bsr_tensor
-  overload_name: crow_col_value_size
+  has_math_kernel: false
+- name: sparse_compressed_tensor
+  operator_name: sparse_compressed_tensor
+  overload_name: comp_plain_value_size
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::sparse_bsr_tensor.crow_col_value_size(Tensor crow_indices, Tensor col_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
+  schema_string: aten::sparse_compressed_tensor.comp_plain_value_size(Tensor compressed_indices, Tensor plain_indices, Tensor values, SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: crow_indices
+    name: compressed_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: col_indices
+    name: plain_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
@@ -72097,17 +77450,17 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: crow_indices
+    name: compressed_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: col_indices
+    name: plain_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
@@ -72120,33 +77473,33 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -72158,27 +77511,27 @@
     type: at::Tensor
   inplace: false
   is_factory_method: true
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
-- name: sparse_bsc_tensor
-  operator_name: sparse_bsc_tensor
-  overload_name: ccol_row_value_size
+  has_math_kernel: false
+- name: sparse_csr_tensor
+  operator_name: sparse_csr_tensor
+  overload_name: crow_col_value_size
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::sparse_bsc_tensor.ccol_row_value_size(Tensor ccol_indices, Tensor row_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
+  schema_string: aten::sparse_csr_tensor.crow_col_value_size(Tensor crow_indices, Tensor col_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: ccol_indices
+    name: crow_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: row_indices
+    name: col_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
@@ -72196,17 +77549,17 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: ccol_indices
+    name: crow_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: row_indices
+    name: col_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
@@ -72219,33 +77572,33 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -72262,45 +77615,50 @@
   with_gil: false
   deprecated: false
   has_math_kernel: true
-- name: sparse_compressed_tensor
-  operator_name: sparse_compressed_tensor
-  overload_name: comp_plain_value
+- name: sparse_csc_tensor
+  operator_name: sparse_csc_tensor
+  overload_name: ccol_row_value_size
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::sparse_compressed_tensor.comp_plain_value(Tensor compressed_indices, Tensor plain_indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
+  schema_string: aten::sparse_csc_tensor.ccol_row_value_size(Tensor ccol_indices, Tensor row_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: compressed_indices
+    name: ccol_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: plain_indices
+    name: row_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
     name: values
     type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: size
+    type: at::IntArrayRef
   - annotation: null
     dynamic_type: at::TensorOptions
     is_nullable: false
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: compressed_indices
+    name: ccol_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: plain_indices
+    name: row_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
@@ -72308,33 +77666,38 @@
     name: values
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: size
+    type: at::IntArrayRef
+  - annotation: null
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -72351,12 +77714,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: true
-- name: sparse_csr_tensor
-  operator_name: sparse_csr_tensor
-  overload_name: crow_col_value
+- name: sparse_bsr_tensor
+  operator_name: sparse_bsr_tensor
+  overload_name: crow_col_value_size
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::sparse_csr_tensor.crow_col_value(Tensor crow_indices, Tensor col_indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
+  schema_string: aten::sparse_bsr_tensor.crow_col_value_size(Tensor crow_indices, Tensor col_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -72373,13 +77736,18 @@
     is_nullable: false
     name: values
     type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: size
+    type: at::IntArrayRef
   - annotation: null
     dynamic_type: at::TensorOptions
     is_nullable: false
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -72397,33 +77765,38 @@
     name: values
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: size
+    type: at::IntArrayRef
+  - annotation: null
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -72440,12 +77813,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: true
-- name: sparse_csc_tensor
-  operator_name: sparse_csc_tensor
-  overload_name: ccol_row_value
+- name: sparse_bsc_tensor
+  operator_name: sparse_bsc_tensor
+  overload_name: ccol_row_value_size
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::sparse_csc_tensor.ccol_row_value(Tensor ccol_indices, Tensor row_indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
+  schema_string: aten::sparse_bsc_tensor.ccol_row_value_size(Tensor ccol_indices, Tensor row_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -72462,13 +77835,18 @@
     is_nullable: false
     name: values
     type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: size
+    type: at::IntArrayRef
   - annotation: null
     dynamic_type: at::TensorOptions
     is_nullable: false
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -72486,33 +77864,38 @@
     name: values
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: size
+    type: at::IntArrayRef
+  - annotation: null
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -72529,12 +77912,101 @@
   with_gil: false
   deprecated: false
   has_math_kernel: true
-- name: sparse_bsr_tensor
-  operator_name: sparse_bsr_tensor
+- name: sparse_compressed_tensor
+  operator_name: sparse_compressed_tensor
+  overload_name: comp_plain_value
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::sparse_compressed_tensor.comp_plain_value(Tensor compressed_indices, Tensor plain_indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: compressed_indices
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: plain_indices
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: values
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::TensorOptions
+    is_nullable: false
+    kwarg_only: true
+    name: options
+    type: at::TensorOptions
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: compressed_indices
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: plain_indices
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: values
+    type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Layout
+    is_nullable: true
+    kwarg_only: true
+    name: layout
+    type: ::std::optional<at::Layout>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Device
+    is_nullable: true
+    kwarg_only: true
+    name: device
+    type: ::std::optional<at::Device>
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: true
+    kwarg_only: true
+    name: pin_memory
+    type: ::std::optional<bool>
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: true
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: sparse_csr_tensor
+  operator_name: sparse_csr_tensor
   overload_name: crow_col_value
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::sparse_bsr_tensor.crow_col_value(Tensor crow_indices, Tensor col_indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
+  schema_string: aten::sparse_csr_tensor.crow_col_value(Tensor crow_indices, Tensor col_indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -72557,7 +78029,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -72575,33 +78047,33 @@
     name: values
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -72618,12 +78090,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: true
-- name: sparse_bsc_tensor
-  operator_name: sparse_bsc_tensor
+- name: sparse_csc_tensor
+  operator_name: sparse_csc_tensor
   overload_name: ccol_row_value
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::sparse_bsc_tensor.ccol_row_value(Tensor ccol_indices, Tensor row_indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
+  schema_string: aten::sparse_csc_tensor.ccol_row_value(Tensor ccol_indices, Tensor row_indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -72646,7 +78118,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -72664,33 +78136,33 @@
     name: values
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -72707,22 +78179,22 @@
   with_gil: false
   deprecated: false
   has_math_kernel: true
-- name: _sparse_compressed_tensor_unsafe
-  operator_name: _sparse_compressed_tensor_unsafe
-  overload_name: ''
+- name: sparse_bsr_tensor
+  operator_name: sparse_bsr_tensor
+  overload_name: crow_col_value
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_sparse_compressed_tensor_unsafe(Tensor compressed_indices, Tensor plain_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
+  schema_string: aten::sparse_bsr_tensor.crow_col_value(Tensor crow_indices, Tensor col_indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: compressed_indices
+    name: crow_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: plain_indices
+    name: col_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
@@ -72730,28 +78202,22 @@
     name: values
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: size
-    type: at::IntArrayRef
-  - annotation: null
-    default: '{}'
     dynamic_type: at::TensorOptions
     is_nullable: false
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: compressed_indices
+    name: crow_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: plain_indices
+    name: col_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
@@ -72759,38 +78225,122 @@
     name: values
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::IntArrayRef
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Layout
+    is_nullable: true
+    kwarg_only: true
+    name: layout
+    type: ::std::optional<at::Layout>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Device
+    is_nullable: true
+    kwarg_only: true
+    name: device
+    type: ::std::optional<at::Device>
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: true
+    kwarg_only: true
+    name: pin_memory
+    type: ::std::optional<bool>
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: true
+  abstract: false
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: true
+- name: sparse_bsc_tensor
+  operator_name: sparse_bsc_tensor
+  overload_name: ccol_row_value
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::sparse_bsc_tensor.ccol_row_value(Tensor ccol_indices, Tensor row_indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
     is_nullable: false
-    name: size
-    type: at::IntArrayRef
+    name: ccol_indices
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: row_indices
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: values
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::TensorOptions
+    is_nullable: false
+    kwarg_only: true
+    name: options
+    type: at::TensorOptions
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: ccol_indices
+    type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: row_indices
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: values
+    type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: false
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -72807,22 +78357,22 @@
   with_gil: false
   deprecated: false
   has_math_kernel: true
-- name: _sparse_csr_tensor_unsafe
-  operator_name: _sparse_csr_tensor_unsafe
+- name: _sparse_compressed_tensor_unsafe
+  operator_name: _sparse_compressed_tensor_unsafe
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_sparse_csr_tensor_unsafe(Tensor crow_indices, Tensor col_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
+  schema_string: aten::_sparse_compressed_tensor_unsafe(Tensor compressed_indices, Tensor plain_indices, Tensor values, SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: crow_indices
+    name: compressed_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: col_indices
+    name: plain_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
@@ -72841,17 +78391,17 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: crow_indices
+    name: compressed_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: col_indices
+    name: plain_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
@@ -72864,33 +78414,33 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -72907,22 +78457,22 @@
   with_gil: false
   deprecated: false
   has_math_kernel: true
-- name: _sparse_csc_tensor_unsafe
-  operator_name: _sparse_csc_tensor_unsafe
+- name: _sparse_csr_tensor_unsafe
+  operator_name: _sparse_csr_tensor_unsafe
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_sparse_csc_tensor_unsafe(Tensor ccol_indices, Tensor row_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
+  schema_string: aten::_sparse_csr_tensor_unsafe(Tensor crow_indices, Tensor col_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: ccol_indices
+    name: crow_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: row_indices
+    name: col_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
@@ -72941,17 +78491,17 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: ccol_indices
+    name: crow_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: row_indices
+    name: col_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
@@ -72964,33 +78514,33 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -73007,22 +78557,22 @@
   with_gil: false
   deprecated: false
   has_math_kernel: true
-- name: _sparse_bsr_tensor_unsafe
-  operator_name: _sparse_bsr_tensor_unsafe
+- name: _sparse_csc_tensor_unsafe
+  operator_name: _sparse_csc_tensor_unsafe
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_sparse_bsr_tensor_unsafe(Tensor crow_indices, Tensor col_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
+  schema_string: aten::_sparse_csc_tensor_unsafe(Tensor ccol_indices, Tensor row_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: crow_indices
+    name: ccol_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: col_indices
+    name: row_indices
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
@@ -73041,8 +78591,79 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: ccol_indices
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: row_indices
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: values
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: size
+    type: at::IntArrayRef
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Layout
+    is_nullable: true
+    kwarg_only: true
+    name: layout
+    type: ::std::optional<at::Layout>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Device
+    is_nullable: true
+    kwarg_only: true
+    name: device
+    type: ::std::optional<at::Device>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    kwarg_only: true
+    name: pin_memory
+    type: ::std::optional<bool>
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: true
+  abstract: false
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: true
+- name: _sparse_bsr_tensor_unsafe
+  operator_name: _sparse_bsr_tensor_unsafe
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_sparse_bsr_tensor_unsafe(Tensor crow_indices, Tensor col_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
+  arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -73064,33 +78685,62 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: '{}'
+    dynamic_type: at::TensorOptions
+    is_nullable: false
+    kwarg_only: true
+    name: options
+    type: at::TensorOptions
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: crow_indices
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: col_indices
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: values
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: size
+    type: at::IntArrayRef
+  - annotation: null
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -73141,7 +78791,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -73164,33 +78814,33 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -73225,7 +78875,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -73233,33 +78883,33 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -73281,7 +78931,7 @@
   overload_name: indices
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::sparse_coo_tensor.indices(Tensor indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
+  schema_string: aten::sparse_coo_tensor.indices(Tensor indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool? is_coalesced=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -73300,7 +78950,14 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    kwarg_only: true
+    name: is_coalesced
+    type: ::std::optional<bool>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -73313,33 +78970,40 @@
     name: values
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    kwarg_only: true
+    name: is_coalesced
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -73361,7 +79025,7 @@
   overload_name: indices_size
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::sparse_coo_tensor.indices_size(Tensor indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
+  schema_string: aten::sparse_coo_tensor.indices_size(Tensor indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool? is_coalesced=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -73385,7 +79049,14 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    kwarg_only: true
+    name: is_coalesced
+    type: ::std::optional<bool>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -73403,33 +79074,40 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    kwarg_only: true
+    name: is_coalesced
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -73451,7 +79129,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_sparse_coo_tensor_unsafe(Tensor indices, Tensor values, SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
+  schema_string: aten::_sparse_coo_tensor_unsafe(Tensor indices, Tensor values, SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool? is_coalesced=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -73475,7 +79153,14 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    kwarg_only: true
+    name: is_coalesced
+    type: ::std::optional<bool>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -73493,33 +79178,40 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    kwarg_only: true
+    name: is_coalesced
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -73541,7 +79233,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_validate_sparse_coo_tensor_args(Tensor indices, Tensor values, int[] size) -> ()
+  schema_string: aten::_validate_sparse_coo_tensor_args(Tensor indices, Tensor values, int[] size, bool? is_coalesced=None) -> ()
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -73558,7 +79250,13 @@
     is_nullable: false
     name: size
     type: at::IntArrayRef
-  schema_order_cpp_signature: void (const at::Tensor &, const at::Tensor &, at::IntArrayRef)
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    name: is_coalesced
+    type: ::std::optional<bool>
+  schema_order_cpp_signature: void (const at::Tensor &, const at::Tensor &, at::IntArrayRef, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -73575,6 +79273,12 @@
     is_nullable: false
     name: size
     type: at::IntArrayRef
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    name: is_coalesced
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -73936,7 +79640,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, int64_t, at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, int64_t, at::IntArrayRef, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -73954,33 +79658,33 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -74002,7 +79706,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_sparse_coo_tensor_with_dims_and_tensors(int sparse_dim, int dense_dim, SymInt[] size, Tensor indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor
+  schema_string: aten::_sparse_coo_tensor_with_dims_and_tensors(int sparse_dim, int dense_dim, SymInt[] size, Tensor indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False, bool? is_coalesced=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -74035,7 +79739,14 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, int64_t, at::IntArrayRef, const at::Tensor &, const at::Tensor &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    kwarg_only: true
+    name: is_coalesced
+    type: ::std::optional<bool>
+  schema_order_cpp_signature: at::Tensor (int64_t, int64_t, at::IntArrayRef, const at::Tensor &, const at::Tensor &, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -74063,33 +79774,40 @@
     name: values
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    kwarg_only: true
+    name: is_coalesced
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -74281,6 +79999,63 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: _sparse_mask_projection
+  operator_name: _sparse_mask_projection
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_sparse_mask_projection(Tensor self, Tensor mask, bool accumulate_matches=False) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mask
+    type: const at::Tensor &
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: accumulate_matches
+    type: bool
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, bool)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mask
+    type: const at::Tensor &
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: accumulate_matches
+    type: bool
+  method_of:
+  - Type
+  - Tensor
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: _to_cpu
   operator_name: _to_cpu
   overload_name: ''
@@ -74321,7 +80096,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::to_dense(Tensor self, ScalarType? dtype=None) -> Tensor
+  schema_string: aten::to_dense(Tensor self, ScalarType? dtype=None, *, bool? masked_grad=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -74329,12 +80104,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    kwarg_only: true
+    name: masked_grad
+    type: ::std::optional<bool>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::ScalarType>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -74342,11 +80124,18 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    kwarg_only: true
+    name: masked_grad
+    type: ::std::optional<bool>
   method_of:
   - Type
   - Tensor
@@ -74368,7 +80157,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_to_dense(Tensor self, ScalarType? dtype=None) -> Tensor
+  schema_string: aten::_to_dense(Tensor self, ScalarType? dtype=None, bool? masked_grad=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -74376,12 +80165,18 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    name: masked_grad
+    type: ::std::optional<bool>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::ScalarType>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -74389,11 +80184,17 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    name: masked_grad
+    type: ::std::optional<bool>
   method_of:
   - Type
   - Tensor
@@ -74415,7 +80216,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::to_dense_backward(Tensor grad, Tensor input) -> Tensor
+  schema_string: aten::to_dense_backward(Tensor grad, Tensor input, bool? masked_grad=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -74427,7 +80228,13 @@
     is_nullable: false
     name: input
     type: const at::Tensor &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &)
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    name: masked_grad
+    type: ::std::optional<bool>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -74439,6 +80246,12 @@
     is_nullable: false
     name: input
     type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    name: masked_grad
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -75355,17 +81168,17 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: true
+  abstract: false
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: false
-- name: to_sparse
-  operator_name: to_sparse
-  overload_name: ''
+  has_math_kernel: true
+- name: _to_sparse
+  operator_name: _to_sparse
+  overload_name: sparse_dim
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::to_sparse(Tensor self, *, Layout? layout=None, int[2]? blocksize=None, int? dense_dim=None) -> Tensor
+  schema_string: aten::_to_sparse.sparse_dim(Tensor self, int sparse_dim) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -75373,43 +81186,59 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: at::Layout
-    is_nullable: true
-    kwarg_only: true
-    name: layout
-    type: c10::optional<at::Layout>
+    dynamic_type: int64_t
+    is_nullable: false
+    name: sparse_dim
+    type: int64_t
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t)
+  schema_order_arguments:
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: at::IntArrayRef
-    is_nullable: true
-    kwarg_only: true
-    name: blocksize
-    size: 2
-    type: at::OptionalIntArrayRef
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
     dynamic_type: int64_t
-    is_nullable: true
-    kwarg_only: true
-    name: dense_dim
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::Layout>, at::OptionalIntArrayRef, c10::optional<int64_t>)
-  schema_order_arguments:
+    is_nullable: false
+    name: sparse_dim
+    type: int64_t
+  method_of:
+  - Type
+  - Tensor
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: to_sparse
+  operator_name: to_sparse
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::to_sparse(Tensor self, *, Layout? layout=None, int[2]? blocksize=None, int? dense_dim=None) -> Tensor
+  arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     kwarg_only: true
@@ -75417,12 +81246,120 @@
     size: 2
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     kwarg_only: true
     name: dense_dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::Layout>, at::OptionalIntArrayRef, ::std::optional<int64_t>)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Layout
+    is_nullable: true
+    kwarg_only: true
+    name: layout
+    type: ::std::optional<at::Layout>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::IntArrayRef
+    is_nullable: true
+    kwarg_only: true
+    name: blocksize
+    size: 2
+    type: at::OptionalIntArrayRef
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    kwarg_only: true
+    name: dense_dim
+    type: ::std::optional<int64_t>
+  method_of:
+  - Type
+  - Tensor
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: false
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: true
+- name: _to_sparse
+  operator_name: _to_sparse
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_to_sparse(Tensor self, *, Layout? layout=None, int[2]? blocksize=None, int? dense_dim=None) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Layout
+    is_nullable: true
+    kwarg_only: true
+    name: layout
+    type: ::std::optional<at::Layout>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::IntArrayRef
+    is_nullable: true
+    kwarg_only: true
+    name: blocksize
+    size: 2
+    type: at::OptionalIntArrayRef
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    kwarg_only: true
+    name: dense_dim
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::Layout>, at::OptionalIntArrayRef, ::std::optional<int64_t>)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::Layout
+    is_nullable: true
+    kwarg_only: true
+    name: layout
+    type: ::std::optional<at::Layout>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::IntArrayRef
+    is_nullable: true
+    kwarg_only: true
+    name: blocksize
+    size: 2
+    type: at::OptionalIntArrayRef
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    kwarg_only: true
+    name: dense_dim
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - Tensor
@@ -75452,12 +81389,59 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    name: dense_dim
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<int64_t>)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    name: dense_dim
+    type: ::std::optional<int64_t>
+  method_of:
+  - Type
+  - Tensor
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: false
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: true
+- name: _to_sparse_csr
+  operator_name: _to_sparse_csr
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_to_sparse_csr(Tensor self, int? dense_dim=None) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dense_dim
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -75465,11 +81449,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dense_dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - Tensor
@@ -75499,12 +81483,59 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    name: dense_dim
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<int64_t>)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    name: dense_dim
+    type: ::std::optional<int64_t>
+  method_of:
+  - Type
+  - Tensor
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: false
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: true
+- name: _to_sparse_csc
+  operator_name: _to_sparse_csc
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_to_sparse_csc(Tensor self, int? dense_dim=None) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dense_dim
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -75512,11 +81543,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dense_dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - Tensor
@@ -75552,12 +81583,12 @@
     size: 2
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dense_dim
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -75571,11 +81602,70 @@
     size: 2
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dense_dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
+  method_of:
+  - Type
+  - Tensor
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: false
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: true
+- name: _to_sparse_bsr
+  operator_name: _to_sparse_bsr
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_to_sparse_bsr(Tensor self, int[2] blocksize, int? dense_dim=None) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: blocksize
+    size: 2
+    type: at::IntArrayRef
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    name: dense_dim
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, ::std::optional<int64_t>)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: blocksize
+    size: 2
+    type: at::IntArrayRef
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    name: dense_dim
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - Tensor
@@ -75611,12 +81701,12 @@
     size: 2
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dense_dim
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -75630,11 +81720,11 @@
     size: 2
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dense_dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - Tensor
@@ -75646,6 +81736,103 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
+  abstract: false
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: true
+- name: _to_sparse_bsc
+  operator_name: _to_sparse_bsc
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_to_sparse_bsc(Tensor self, int[2] blocksize, int? dense_dim=None) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: blocksize
+    size: 2
+    type: at::IntArrayRef
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    name: dense_dim
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, ::std::optional<int64_t>)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: blocksize
+    size: 2
+    type: at::IntArrayRef
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    name: dense_dim
+    type: ::std::optional<int64_t>
+  method_of:
+  - Type
+  - Tensor
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _to_sparse_semi_structured
+  operator_name: _to_sparse_semi_structured
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_to_sparse_semi_structured(Tensor dense) -> (Tensor, Tensor)
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: dense
+    type: const at::Tensor &
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: dense
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result0
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    name: result1
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
   abstract: true
   device_guard: true
   with_gil: false
@@ -75664,12 +81851,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -75677,11 +81864,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - Tensor
@@ -75703,7 +81890,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::mkldnn_reorder_conv2d_weight(Tensor self, int[2] padding=0, int[2] stride=1, int[2] dilation=1, int groups=1, int[]? input_size=None) -> Tensor
+  schema_string: aten::mkldnn_reorder_conv2d_weight(Tensor self, SymInt[2] padding=0, SymInt[2] stride=1, SymInt[2] dilation=1, SymInt groups=1, SymInt[]? input_size=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -75738,7 +81925,7 @@
     name: groups
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: input_size
@@ -75778,7 +81965,7 @@
     name: groups
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: input_size
@@ -75804,7 +81991,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::mkldnn_reorder_conv3d_weight(Tensor self, int[3] padding=0, int[3] stride=1, int[3] dilation=1, int groups=1) -> Tensor
+  schema_string: aten::mkldnn_reorder_conv3d_weight(Tensor self, SymInt[3] padding=0, SymInt[3] stride=1, SymInt[3] dilation=1, SymInt groups=1, SymInt[]? input_size=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -75838,7 +82025,13 @@
     is_nullable: false
     name: groups
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t)
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::IntArrayRef
+    is_nullable: true
+    name: input_size
+    type: at::OptionalIntArrayRef
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, at::OptionalIntArrayRef)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -75872,6 +82065,12 @@
     is_nullable: false
     name: groups
     type: int64_t
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::IntArrayRef
+    is_nullable: true
+    name: input_size
+    type: at::OptionalIntArrayRef
   method_of:
   - Type
   - namespace
@@ -78328,13 +84527,13 @@
     name: non_blocking
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>, bool, c10::optional<at::MemoryFormat>)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>, bool, ::std::optional<at::MemoryFormat>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -78342,33 +84541,33 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -78377,12 +84576,12 @@
     name: non_blocking
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   method_of:
   - Type
   - namespace
@@ -78433,13 +84632,13 @@
     name: copy
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>, bool, bool, c10::optional<at::MemoryFormat>)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>, bool, bool, ::std::optional<at::MemoryFormat>)
   schema_order_arguments:
   - annotation: a
     dynamic_type: at::Tensor
@@ -78447,33 +84646,33 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -78489,12 +84688,12 @@
     name: copy
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   method_of:
   - Type
   - Tensor
@@ -78546,12 +84745,12 @@
     name: copy
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::Device, at::ScalarType, bool, bool, c10::optional<at::MemoryFormat>)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::Device, at::ScalarType, bool, bool, ::std::optional<at::MemoryFormat>)
   schema_order_arguments:
   - annotation: a
     dynamic_type: at::Tensor
@@ -78581,11 +84780,11 @@
     name: copy
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   method_of:
   - Type
   - Tensor
@@ -78632,12 +84831,12 @@
     name: copy
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::ScalarType, bool, bool, c10::optional<at::MemoryFormat>)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::ScalarType, bool, bool, ::std::optional<at::MemoryFormat>)
   schema_order_arguments:
   - annotation: a
     dynamic_type: at::Tensor
@@ -78662,11 +84861,11 @@
     name: copy
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   method_of:
   - Type
   - Tensor
@@ -78713,12 +84912,12 @@
     name: copy
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, bool, bool, c10::optional<at::MemoryFormat>)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, bool, bool, ::std::optional<at::MemoryFormat>)
   schema_order_arguments:
   - annotation: a
     dynamic_type: at::Tensor
@@ -78743,11 +84942,11 @@
     name: copy
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   method_of:
   - Type
   - Tensor
@@ -79160,12 +85359,12 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::can_cast(ScalarType from, ScalarType to) -> bool
+  schema_string: aten::can_cast(ScalarType from_, ScalarType to) -> bool
   arguments:
   - annotation: null
     dynamic_type: at::ScalarType
     is_nullable: false
-    name: from
+    name: from_
     type: at::ScalarType
   - annotation: null
     dynamic_type: at::ScalarType
@@ -79177,7 +85376,7 @@
   - annotation: null
     dynamic_type: at::ScalarType
     is_nullable: false
-    name: from
+    name: from_
     type: at::ScalarType
   - annotation: null
     dynamic_type: at::ScalarType
@@ -79415,23 +85614,23 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::lstm_mps_backward(Tensor grad_y, Tensor? grad_hy, Tensor? grad_cy, Tensor z_state, Tensor cell_state_fwd, Tensor input, Tensor layersOutputs, Tensor[] hx, Tensor[] params, bool has_biases, int num_layers, float dropout, bool train, bool bidirectional, bool batch_first) -> (Tensor, Tensor[], Tensor[])
+  schema_string: aten::lstm_mps_backward(Tensor? grad_y, Tensor? grad_hy, Tensor? grad_cy, Tensor z_state, Tensor cell_state_fwd, Tensor input, Tensor layersOutputs, Tensor[] hx, Tensor[] params, bool has_biases, int num_layers, float dropout, bool train, bool bidirectional, bool batch_first) -> (Tensor, Tensor[], Tensor[])
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
-    is_nullable: false
+    is_nullable: true
     name: grad_y
-    type: const at::Tensor &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_hy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_cy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -79492,23 +85691,23 @@
     is_nullable: false
     name: batch_first
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,::std::vector<at::Tensor>,::std::vector<at::Tensor>> (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, at::TensorList, at::TensorList, bool, int64_t, double, bool, bool, bool)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,::std::vector<at::Tensor>,::std::vector<at::Tensor>> (const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, at::TensorList, at::TensorList, bool, int64_t, double, bool, bool, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
-    is_nullable: false
+    is_nullable: true
     name: grad_y
-    type: const at::Tensor &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_hy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_cy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -79618,14 +85817,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: input_bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: hidden_bias
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -79647,13 +85846,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: input_bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: hidden_bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - namespace
@@ -79687,12 +85886,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_hy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_cy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -79713,18 +85912,18 @@
     is_nullable: false
     name: has_bias
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, const at::Tensor &, bool)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, const at::Tensor &, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_hy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_cy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -79778,12 +85977,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_hy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_cy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -79804,18 +86003,18 @@
     is_nullable: false
     name: has_bias
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, const at::Tensor &, bool)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, const at::Tensor &, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_hy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_cy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -79875,12 +86074,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_hy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_cy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -79895,12 +86094,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: input_bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: hidden_bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -79911,18 +86110,18 @@
     is_nullable: false
     name: cy
     type: const at::Tensor &
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_hy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_cy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -79937,12 +86136,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: input_bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: hidden_bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -80008,14 +86207,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: input_bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: hidden_bias
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -80037,13 +86236,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: input_bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: hidden_bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - namespace
@@ -80161,13 +86360,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: input_bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: hidden_bias
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -80193,12 +86392,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: input_bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: hidden_bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - namespace
@@ -81209,14 +87408,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: b_ih
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: b_hh
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, at::TensorList, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, at::TensorList, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -81243,13 +87442,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: b_ih
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: b_hh
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - namespace
@@ -81301,14 +87500,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: b_ih
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: b_hh
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -81335,13 +87534,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: b_ih
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: b_hh
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - namespace
@@ -81390,14 +87589,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: b_ih
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: b_hh
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -81424,13 +87623,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: b_ih
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: b_hh
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - namespace
@@ -81479,14 +87678,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: b_ih
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: b_hh
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -81513,13 +87712,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: b_ih
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: b_hh
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - namespace
@@ -83162,6 +89361,61 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: masked_scatter_backward
+  operator_name: masked_scatter_backward
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::masked_scatter_backward(Tensor grad_output, Tensor mask, SymInt[] sizes) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: grad_output
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mask
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: sizes
+    type: at::IntArrayRef
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: grad_output
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mask
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: sizes
+    type: at::IntArrayRef
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: _masked_softmax
   operator_name: _masked_softmax
   overload_name: ''
@@ -83180,18 +89434,18 @@
     name: mask
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: mask_type
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, c10::optional<int64_t>, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, ::std::optional<int64_t>, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -83204,17 +89458,17 @@
     name: mask
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: mask_type
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - namespace
@@ -83254,12 +89508,12 @@
     name: mask
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -83277,11 +89531,11 @@
     name: mask
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - namespace
@@ -86648,11 +92902,11 @@
     type: at::Tensor &
   inplace: true
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: bitwise_and_
   operator_name: bitwise_and_
   overload_name: Tensor
@@ -87039,11 +93293,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: bitwise_or
   operator_name: bitwise_or
   overload_name: Scalar_Tensor
@@ -87175,11 +93429,11 @@
     type: at::Tensor &
   inplace: true
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: bitwise_or_
   operator_name: bitwise_or_
   overload_name: Tensor
@@ -87566,11 +93820,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: bitwise_xor
   operator_name: bitwise_xor
   overload_name: Scalar_Tensor
@@ -87702,11 +93956,11 @@
     type: at::Tensor &
   inplace: true
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: bitwise_xor_
   operator_name: bitwise_xor_
   overload_name: Tensor
@@ -89512,15 +95766,15 @@
     dynamic_type: int64_t
     is_nullable: true
     name: to
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, int64_t, c10::optional<int64_t>, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, int64_t, ::std::optional<int64_t>, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -89536,14 +95790,14 @@
     dynamic_type: int64_t
     is_nullable: true
     name: to
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - Tensor
@@ -89578,13 +95832,13 @@
     name: to
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, int64_t, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, int64_t, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -89597,12 +95851,12 @@
     name: to
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - Tensor
@@ -89632,13 +95886,13 @@
     name: self
     type: at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -89646,12 +95900,12 @@
     name: self
     type: at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - Tensor
@@ -89693,13 +95947,13 @@
     name: to
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, double, double, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, double, double, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -89719,12 +95973,12 @@
     name: to
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - Tensor
@@ -89766,13 +96020,13 @@
     name: sigma
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, double, double, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, double, double, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -89792,12 +96046,12 @@
     name: sigma
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - Tensor
@@ -89839,13 +96093,13 @@
     name: std
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, double, double, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, double, double, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -89865,12 +96119,12 @@
     name: std
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - Tensor
@@ -89906,13 +96160,13 @@
     name: lambd
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, double, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, double, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -89926,12 +96180,12 @@
     name: lambd
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - Tensor
@@ -89966,13 +96220,13 @@
     name: p
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, double, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, double, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -89985,12 +96239,12 @@
     name: p
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - Tensor
@@ -90141,12 +96395,12 @@
     name: other
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, c10::optional<int64_t>, at::Tensor &)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, ::std::optional<int64_t>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -90159,11 +96413,11 @@
     name: other
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -90205,12 +96459,12 @@
     name: other
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -90223,11 +96477,11 @@
     name: other
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - Tensor
@@ -90493,7 +96747,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, int64_t, int64_t, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, int64_t, int64_t, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -90517,28 +96771,28 @@
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -90585,7 +96839,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, int64_t, int64_t, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, int64_t, int64_t, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -90609,28 +96863,28 @@
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -94068,12 +100322,12 @@
     name: indices
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, c10::optional<int64_t>, at::Tensor &)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, ::std::optional<int64_t>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -94086,11 +100340,11 @@
     name: indices
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -94132,12 +100386,12 @@
     name: indices
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -94150,11 +100404,11 @@
     name: indices
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - Tensor
@@ -94732,6 +100986,143 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: nonzero_static_out
+  operator_name: nonzero_static
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::nonzero_static.out(Tensor self, *, int size, int fill_value=-1, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    kwarg_only: true
+    name: size
+    type: int64_t
+  - annotation: null
+    default: -1
+    dynamic_type: int64_t
+    is_nullable: false
+    kwarg_only: true
+    name: fill_value
+    type: int64_t
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, int64_t, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    kwarg_only: true
+    name: size
+    type: int64_t
+  - annotation: null
+    default: -1
+    dynamic_type: int64_t
+    is_nullable: false
+    kwarg_only: true
+    name: fill_value
+    type: int64_t
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: nonzero_static
+  operator_name: nonzero_static
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::nonzero_static(Tensor self, *, int size, int fill_value=-1) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    kwarg_only: true
+    name: size
+    type: int64_t
+  - annotation: null
+    default: -1
+    dynamic_type: int64_t
+    is_nullable: false
+    kwarg_only: true
+    name: fill_value
+    type: int64_t
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, int64_t)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    kwarg_only: true
+    name: size
+    type: int64_t
+  - annotation: null
+    default: -1
+    dynamic_type: int64_t
+    is_nullable: false
+    kwarg_only: true
+    name: fill_value
+    type: int64_t
+  method_of:
+  - Type
+  - Tensor
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: nonzero_numpy
   operator_name: nonzero_numpy
   overload_name: ''
@@ -95716,7 +102107,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
@@ -95735,7 +102126,7 @@
     is_nullable: false
     name: label_smoothing
     type: double
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, int64_t, int64_t, double)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, int64_t, double)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -95752,7 +102143,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
@@ -96235,7 +102626,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::linalg_vander(Tensor x, *, int? N=None) -> Tensor
+  schema_string: aten::linalg_vander(Tensor x, *, SymInt? N=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -96243,13 +102634,13 @@
     name: x
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     kwarg_only: true
     name: N
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -96257,12 +102648,12 @@
     name: x
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     kwarg_only: true
     name: N
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - namespace
@@ -98044,13 +104435,13 @@
     name: replacement
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, bool, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, bool, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -98069,12 +104460,12 @@
     name: replacement
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -98122,13 +104513,13 @@
     name: replacement
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, bool, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, bool, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -98147,12 +104538,12 @@
     name: replacement
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - Tensor
@@ -99775,7 +106166,7 @@
     is_nullable: true
     kwarg_only: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -99783,7 +106174,7 @@
     kwarg_only: true
     name: density
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, bool, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, bool, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -99801,7 +106192,7 @@
     is_nullable: true
     kwarg_only: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -99869,7 +106260,7 @@
     is_nullable: true
     kwarg_only: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -99877,7 +106268,7 @@
     kwarg_only: true
     name: density
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, bool)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -99895,7 +106286,7 @@
     is_nullable: true
     kwarg_only: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -99960,19 +106351,19 @@
     name: bins
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     kwarg_only: true
     name: range
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -99980,7 +106371,7 @@
     kwarg_only: true
     name: density
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, int64_t, c10::optional<at::ArrayRef<double>>, const c10::optional<at::Tensor> &, bool, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, int64_t, ::std::optional<at::ArrayRef<double>>, const ::std::optional<at::Tensor> &, bool, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -99994,19 +106385,19 @@
     name: bins
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     kwarg_only: true
     name: range
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -100070,19 +106461,19 @@
     name: bins
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     kwarg_only: true
     name: range
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -100090,7 +106481,7 @@
     kwarg_only: true
     name: density
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, int64_t, c10::optional<at::ArrayRef<double>>, const c10::optional<at::Tensor> &, bool)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, int64_t, ::std::optional<at::ArrayRef<double>>, const ::std::optional<at::Tensor> &, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -100104,19 +106495,19 @@
     name: bins
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     kwarg_only: true
     name: range
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -100164,19 +106555,19 @@
     name: bins
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     kwarg_only: true
     name: range
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -100184,7 +106575,7 @@
     kwarg_only: true
     name: density
     type: bool
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (const at::Tensor &, at::IntArrayRef, c10::optional<at::ArrayRef<double>>, const c10::optional<at::Tensor> &, bool)
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (const at::Tensor &, at::IntArrayRef, ::std::optional<at::ArrayRef<double>>, const ::std::optional<at::Tensor> &, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -100197,19 +106588,19 @@
     name: bins
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     kwarg_only: true
     name: range
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -100251,19 +106642,19 @@
     name: bins
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     kwarg_only: true
     name: range
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -100271,7 +106662,7 @@
     kwarg_only: true
     name: density
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, c10::optional<at::ArrayRef<double>>, const c10::optional<at::Tensor> &, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, ::std::optional<at::ArrayRef<double>>, const ::std::optional<at::Tensor> &, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -100284,19 +106675,19 @@
     name: bins
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     kwarg_only: true
     name: range
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -100343,7 +106734,7 @@
     is_nullable: true
     kwarg_only: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -100351,7 +106742,7 @@
     kwarg_only: true
     name: density
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::TensorList, const c10::optional<at::Tensor> &, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::TensorList, const ::std::optional<at::Tensor> &, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -100369,7 +106760,7 @@
     is_nullable: true
     kwarg_only: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -100411,24 +106802,24 @@
     name: bins
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: range
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
     name: density
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,::std::vector<at::Tensor>> (const at::Tensor &, at::IntArrayRef, c10::optional<at::ArrayRef<double>>, const c10::optional<at::Tensor> &, bool)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,::std::vector<at::Tensor>> (const at::Tensor &, at::IntArrayRef, ::std::optional<at::ArrayRef<double>>, const ::std::optional<at::Tensor> &, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -100441,17 +106832,17 @@
     name: bins
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: range
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -100497,24 +106888,24 @@
     name: bins
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: range
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
     name: density
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,::std::vector<at::Tensor>> (const at::Tensor &, int64_t, c10::optional<at::ArrayRef<double>>, const c10::optional<at::Tensor> &, bool)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,::std::vector<at::Tensor>> (const at::Tensor &, int64_t, ::std::optional<at::ArrayRef<double>>, const ::std::optional<at::Tensor> &, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -100527,17 +106918,17 @@
     name: bins
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: range
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -100583,24 +106974,24 @@
     name: bins
     type: at::TensorList
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: range
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
     name: density
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,::std::vector<at::Tensor>> (const at::Tensor &, at::TensorList, c10::optional<at::ArrayRef<double>>, const c10::optional<at::Tensor> &, bool)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,::std::vector<at::Tensor>> (const at::Tensor &, at::TensorList, ::std::optional<at::ArrayRef<double>>, const ::std::optional<at::Tensor> &, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -100613,17 +107004,17 @@
     name: bins
     type: at::TensorList
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: range
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -101932,6 +108323,55 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: min_out
+  operator_name: min
+  overload_name: unary_out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::min.unary_out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: fmin
   operator_name: fmin
   overload_name: ''
@@ -102665,11 +109105,11 @@
     name: q
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -102683,7 +109123,7 @@
     kwarg_only: true
     name: interpolation
     type: c10::string_view
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, c10::optional<int64_t>, bool, c10::string_view)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, ::std::optional<int64_t>, bool, c10::string_view)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -102696,11 +109136,11 @@
     name: q
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -102756,11 +109196,11 @@
     name: q
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -102774,7 +109214,7 @@
     kwarg_only: true
     name: interpolation
     type: c10::string_view
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, c10::optional<int64_t>, bool, c10::string_view, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, ::std::optional<int64_t>, bool, c10::string_view, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -102787,11 +109227,11 @@
     name: q
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -102846,11 +109286,11 @@
     name: q
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -102864,7 +109304,7 @@
     kwarg_only: true
     name: interpolation
     type: c10::string_view
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, double, c10::optional<int64_t>, bool, c10::string_view)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, double, ::std::optional<int64_t>, bool, c10::string_view)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -102877,11 +109317,11 @@
     name: q
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -102937,11 +109377,11 @@
     name: q
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -102955,7 +109395,7 @@
     kwarg_only: true
     name: interpolation
     type: c10::string_view
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, double, c10::optional<int64_t>, bool, c10::string_view, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, double, ::std::optional<int64_t>, bool, c10::string_view, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -102968,11 +109408,11 @@
     name: q
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -103027,11 +109467,11 @@
     name: q
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -103045,7 +109485,7 @@
     kwarg_only: true
     name: interpolation
     type: c10::string_view
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, c10::optional<int64_t>, bool, c10::string_view)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, ::std::optional<int64_t>, bool, c10::string_view)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -103058,11 +109498,11 @@
     name: q
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -103118,11 +109558,11 @@
     name: q
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -103136,7 +109576,7 @@
     kwarg_only: true
     name: interpolation
     type: c10::string_view
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, c10::optional<int64_t>, bool, c10::string_view, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, ::std::optional<int64_t>, bool, c10::string_view, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -103149,11 +109589,11 @@
     name: q
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -103208,11 +109648,11 @@
     name: q
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -103226,7 +109666,7 @@
     kwarg_only: true
     name: interpolation
     type: c10::string_view
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, double, c10::optional<int64_t>, bool, c10::string_view)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, double, ::std::optional<int64_t>, bool, c10::string_view)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -103239,11 +109679,11 @@
     name: q
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -103299,11 +109739,11 @@
     name: q
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -103317,7 +109757,7 @@
     kwarg_only: true
     name: interpolation
     type: c10::string_view
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, double, c10::optional<int64_t>, bool, c10::string_view, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, double, ::std::optional<int64_t>, bool, c10::string_view, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -103330,11 +109770,11 @@
     name: q
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -103500,7 +109940,7 @@
     is_nullable: true
     kwarg_only: true
     name: stable
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -103515,7 +109955,7 @@
     kwarg_only: true
     name: descending
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, c10::optional<bool>, int64_t, bool, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, ::std::optional<bool>, int64_t, bool, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -103527,7 +109967,7 @@
     is_nullable: true
     kwarg_only: true
     name: stable
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -103661,7 +110101,7 @@
     is_nullable: true
     kwarg_only: true
     name: stable
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -103676,7 +110116,7 @@
     kwarg_only: true
     name: descending
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, c10::optional<bool>, int64_t, bool)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, ::std::optional<bool>, int64_t, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -103688,7 +110128,7 @@
     is_nullable: true
     kwarg_only: true
     name: stable
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -103852,7 +110292,7 @@
     is_nullable: true
     kwarg_only: true
     name: stable
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
     dynamic_type: at::Dimname
     is_nullable: false
@@ -103866,7 +110306,7 @@
     kwarg_only: true
     name: descending
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, c10::optional<bool>, at::Dimname, bool, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, ::std::optional<bool>, at::Dimname, bool, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -103878,7 +110318,7 @@
     is_nullable: true
     kwarg_only: true
     name: stable
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
     dynamic_type: at::Dimname
     is_nullable: false
@@ -104009,7 +110449,7 @@
     is_nullable: true
     kwarg_only: true
     name: stable
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
     dynamic_type: at::Dimname
     is_nullable: false
@@ -104023,7 +110463,7 @@
     kwarg_only: true
     name: descending
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, c10::optional<bool>, at::Dimname, bool)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, ::std::optional<bool>, at::Dimname, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -104035,7 +110475,7 @@
     is_nullable: true
     kwarg_only: true
     name: stable
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
     dynamic_type: at::Dimname
     is_nullable: false
@@ -104287,11 +110727,100 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: true
+  abstract: false
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: false
+  has_math_kernel: true
+- name: argsort_out
+  operator_name: argsort
+  overload_name: stable_out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::argsort.stable_out(Tensor self, *, bool stable, int dim=-1, bool descending=False, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: stable
+    type: bool
+  - annotation: null
+    default: -1
+    dynamic_type: int64_t
+    is_nullable: false
+    kwarg_only: true
+    name: dim
+    type: int64_t
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: descending
+    type: bool
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, bool, int64_t, bool, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: stable
+    type: bool
+  - annotation: null
+    default: -1
+    dynamic_type: int64_t
+    is_nullable: false
+    kwarg_only: true
+    name: dim
+    type: int64_t
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: descending
+    type: bool
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: false
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: true
 - name: argsort
   operator_name: argsort
   overload_name: dimname
@@ -104355,7 +110884,7 @@
   overload_name: values
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::topk.values(Tensor self, int k, int dim=-1, bool largest=True, bool sorted=True, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
+  schema_string: aten::topk.values(Tensor self, SymInt k, int dim=-1, bool largest=True, bool sorted=True, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
   arguments:
   - allocate: true
     annotation: a!
@@ -104473,7 +111002,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::topk(Tensor self, int k, int dim=-1, bool largest=True, bool sorted=True) -> (Tensor values, Tensor indices)
+  schema_string: aten::topk(Tensor self, SymInt k, int dim=-1, bool largest=True, bool sorted=True) -> (Tensor values, Tensor indices)
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -105954,13 +112483,13 @@
     name: std
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, double, double, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, double, double, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -105980,12 +112509,12 @@
     name: std
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - Tensor
@@ -106027,13 +112556,13 @@
     name: std
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, double, double, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, double, double, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -106053,12 +112582,12 @@
     name: std
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - namespace
@@ -106101,13 +112630,13 @@
     name: std
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, double, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, double, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -106121,12 +112650,12 @@
     name: std
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -106169,13 +112698,13 @@
     name: std
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, double, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, double, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -106189,12 +112718,12 @@
     name: std
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - namespace
@@ -106236,13 +112765,13 @@
     name: std
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (double, const at::Tensor &, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (double, const at::Tensor &, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: double
@@ -106255,12 +112784,12 @@
     name: std
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -106302,13 +112831,13 @@
     name: std
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor (double, const at::Tensor &, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor (double, const at::Tensor &, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: double
@@ -106321,12 +112850,12 @@
     name: std
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - namespace
@@ -106368,13 +112897,13 @@
     name: std
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -106387,12 +112916,12 @@
     name: std
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -106434,13 +112963,13 @@
     name: std
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -106453,12 +112982,12 @@
     name: std
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - namespace
@@ -106498,12 +113027,12 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - annotation: null
     default: '{}'
     dynamic_type: at::TensorOptions
@@ -106511,7 +113040,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (double, double, at::IntArrayRef, c10::optional<at::Generator>, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (double, double, at::IntArrayRef, ::std::optional<at::Generator>, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: double
@@ -106529,40 +113058,40 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -106609,13 +113138,13 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (double, double, at::IntArrayRef, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (double, double, at::IntArrayRef, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: double
@@ -106633,12 +113162,12 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -106922,12 +113451,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_sub
-  operator_name: _foreach_sub
-  overload_name: Scalar
+- name: _foreach_add
+  operator_name: _foreach_add
+  overload_name: List
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_sub.Scalar(Tensor[] self, Scalar scalar) -> Tensor[]
+  schema_string: aten::_foreach_add.List(Tensor[] self, Tensor[] other, *, Scalar alpha=1) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -106935,11 +113464,18 @@
     name: self
     type: at::TensorList
   - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: other
+    type: at::TensorList
+  - annotation: null
+    default: 1
     dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalar
+    kwarg_only: true
+    name: alpha
     type: const at::Scalar &
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, const at::Scalar &)
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList, const at::Scalar &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -106947,9 +113483,16 @@
     name: self
     type: at::TensorList
   - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: other
+    type: at::TensorList
+  - annotation: null
+    default: 1
     dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalar
+    kwarg_only: true
+    name: alpha
     type: const at::Scalar &
   method_of:
   - Type
@@ -106967,12 +113510,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_sub_
-  operator_name: _foreach_sub_
-  overload_name: Scalar
+- name: _foreach_add_
+  operator_name: _foreach_add_
+  overload_name: List
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_sub_.Scalar(Tensor(a!)[] self, Scalar scalar) -> ()
+  schema_string: aten::_foreach_add_.List(Tensor(a!)[] self, Tensor[] other, *, Scalar alpha=1) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -106980,11 +113523,18 @@
     name: self
     type: at::TensorList
   - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: other
+    type: at::TensorList
+  - annotation: null
+    default: 1
     dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalar
+    kwarg_only: true
+    name: alpha
     type: const at::Scalar &
-  schema_order_cpp_signature: void (at::TensorList, const at::Scalar &)
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, const at::Scalar &)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -106992,9 +113542,16 @@
     name: self
     type: at::TensorList
   - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: other
+    type: at::TensorList
+  - annotation: null
+    default: 1
     dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalar
+    kwarg_only: true
+    name: alpha
     type: const at::Scalar &
   method_of:
   - Type
@@ -107009,12 +113566,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_mul
-  operator_name: _foreach_mul
-  overload_name: Scalar
+- name: _foreach_add
+  operator_name: _foreach_add
+  overload_name: ScalarList
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_mul.Scalar(Tensor[] self, Scalar scalar) -> Tensor[]
+  schema_string: aten::_foreach_add.ScalarList(Tensor[] self, Scalar[] scalars) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -107022,11 +113579,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    name: scalar
-    type: const at::Scalar &
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, const at::Scalar &)
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::ArrayRef<at::Scalar>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -107034,10 +113591,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    name: scalar
-    type: const at::Scalar &
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
   method_of:
   - Type
   - namespace
@@ -107054,12 +113611,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_mul_
-  operator_name: _foreach_mul_
-  overload_name: Scalar
+- name: _foreach_add_
+  operator_name: _foreach_add_
+  overload_name: ScalarList
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_mul_.Scalar(Tensor(a!)[] self, Scalar scalar) -> ()
+  schema_string: aten::_foreach_add_.ScalarList(Tensor(a!)[] self, Scalar[] scalars) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -107067,11 +113624,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    name: scalar
-    type: const at::Scalar &
-  schema_order_cpp_signature: void (at::TensorList, const at::Scalar &)
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
+  schema_order_cpp_signature: void (at::TensorList, at::ArrayRef<at::Scalar>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -107079,10 +113636,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    name: scalar
-    type: const at::Scalar &
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
   method_of:
   - Type
   - namespace
@@ -107096,12 +113653,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_div
-  operator_name: _foreach_div
-  overload_name: Scalar
+- name: _foreach_add
+  operator_name: _foreach_add
+  overload_name: Tensor
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_div.Scalar(Tensor[] self, Scalar scalar) -> Tensor[]
+  schema_string: aten::_foreach_add.Tensor(Tensor[] self, Tensor other, *, Scalar alpha=1) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -107109,11 +113666,18 @@
     name: self
     type: at::TensorList
   - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: other
+    type: const at::Tensor &
+  - annotation: null
+    default: 1
     dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalar
+    kwarg_only: true
+    name: alpha
     type: const at::Scalar &
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, const at::Scalar &)
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, const at::Tensor &, const at::Scalar &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -107121,9 +113685,16 @@
     name: self
     type: at::TensorList
   - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: other
+    type: const at::Tensor &
+  - annotation: null
+    default: 1
     dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalar
+    kwarg_only: true
+    name: alpha
     type: const at::Scalar &
   method_of:
   - Type
@@ -107141,12 +113712,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_div_
-  operator_name: _foreach_div_
-  overload_name: Scalar
+- name: _foreach_add_
+  operator_name: _foreach_add_
+  overload_name: Tensor
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_div_.Scalar(Tensor(a!)[] self, Scalar scalar) -> ()
+  schema_string: aten::_foreach_add_.Tensor(Tensor(a!)[] self, Tensor other, *, Scalar alpha=1) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -107154,11 +113725,18 @@
     name: self
     type: at::TensorList
   - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: other
+    type: const at::Tensor &
+  - annotation: null
+    default: 1
     dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalar
+    kwarg_only: true
+    name: alpha
     type: const at::Scalar &
-  schema_order_cpp_signature: void (at::TensorList, const at::Scalar &)
+  schema_order_cpp_signature: void (at::TensorList, const at::Tensor &, const at::Scalar &)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -107166,9 +113744,16 @@
     name: self
     type: at::TensorList
   - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: other
+    type: const at::Tensor &
+  - annotation: null
+    default: 1
     dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalar
+    kwarg_only: true
+    name: alpha
     type: const at::Scalar &
   method_of:
   - Type
@@ -107183,12 +113768,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_clamp_min
-  operator_name: _foreach_clamp_min
+- name: _foreach_sub
+  operator_name: _foreach_sub
   overload_name: Scalar
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_clamp_min.Scalar(Tensor[] self, Scalar scalar) -> Tensor[]
+  schema_string: aten::_foreach_sub.Scalar(Tensor[] self, Scalar scalar) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -107228,12 +113813,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_clamp_min_
-  operator_name: _foreach_clamp_min_
+- name: _foreach_sub_
+  operator_name: _foreach_sub_
   overload_name: Scalar
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_clamp_min_.Scalar(Tensor(a!)[] self, Scalar scalar) -> ()
+  schema_string: aten::_foreach_sub_.Scalar(Tensor(a!)[] self, Scalar scalar) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -107270,12 +113855,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_clamp_max
-  operator_name: _foreach_clamp_max
-  overload_name: Scalar
+- name: _foreach_sub
+  operator_name: _foreach_sub
+  overload_name: List
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_clamp_max.Scalar(Tensor[] self, Scalar scalar) -> Tensor[]
+  schema_string: aten::_foreach_sub.List(Tensor[] self, Tensor[] other, *, Scalar alpha=1) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -107283,11 +113868,18 @@
     name: self
     type: at::TensorList
   - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: other
+    type: at::TensorList
+  - annotation: null
+    default: 1
     dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalar
+    kwarg_only: true
+    name: alpha
     type: const at::Scalar &
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, const at::Scalar &)
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList, const at::Scalar &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -107295,9 +113887,16 @@
     name: self
     type: at::TensorList
   - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: other
+    type: at::TensorList
+  - annotation: null
+    default: 1
     dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalar
+    kwarg_only: true
+    name: alpha
     type: const at::Scalar &
   method_of:
   - Type
@@ -107315,12 +113914,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_clamp_max_
-  operator_name: _foreach_clamp_max_
-  overload_name: Scalar
+- name: _foreach_sub_
+  operator_name: _foreach_sub_
+  overload_name: List
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_clamp_max_.Scalar(Tensor(a!)[] self, Scalar scalar) -> ()
+  schema_string: aten::_foreach_sub_.List(Tensor(a!)[] self, Tensor[] other, *, Scalar alpha=1) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -107328,11 +113927,18 @@
     name: self
     type: at::TensorList
   - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: other
+    type: at::TensorList
+  - annotation: null
+    default: 1
     dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalar
+    kwarg_only: true
+    name: alpha
     type: const at::Scalar &
-  schema_order_cpp_signature: void (at::TensorList, const at::Scalar &)
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, const at::Scalar &)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -107340,9 +113946,16 @@
     name: self
     type: at::TensorList
   - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: other
+    type: at::TensorList
+  - annotation: null
+    default: 1
     dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalar
+    kwarg_only: true
+    name: alpha
     type: const at::Scalar &
   method_of:
   - Type
@@ -107357,12 +113970,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_maximum
-  operator_name: _foreach_maximum
-  overload_name: Scalar
+- name: _foreach_sub
+  operator_name: _foreach_sub
+  overload_name: ScalarList
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_maximum.Scalar(Tensor[] self, Scalar scalar) -> Tensor[]
+  schema_string: aten::_foreach_sub.ScalarList(Tensor[] self, Scalar[] scalars) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -107370,11 +113983,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    name: scalar
-    type: const at::Scalar &
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, const at::Scalar &)
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::ArrayRef<at::Scalar>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -107382,10 +113995,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    name: scalar
-    type: const at::Scalar &
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
   method_of:
   - Type
   - namespace
@@ -107402,12 +114015,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_maximum_
-  operator_name: _foreach_maximum_
-  overload_name: Scalar
+- name: _foreach_sub_
+  operator_name: _foreach_sub_
+  overload_name: ScalarList
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_maximum_.Scalar(Tensor(a!)[] self, Scalar scalar) -> ()
+  schema_string: aten::_foreach_sub_.ScalarList(Tensor(a!)[] self, Scalar[] scalars) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -107415,11 +114028,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    name: scalar
-    type: const at::Scalar &
-  schema_order_cpp_signature: void (at::TensorList, const at::Scalar &)
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
+  schema_order_cpp_signature: void (at::TensorList, at::ArrayRef<at::Scalar>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -107427,10 +114040,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    name: scalar
-    type: const at::Scalar &
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
   method_of:
   - Type
   - namespace
@@ -107444,12 +114057,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_minimum
-  operator_name: _foreach_minimum
+- name: _foreach_mul
+  operator_name: _foreach_mul
   overload_name: Scalar
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_minimum.Scalar(Tensor[] self, Scalar scalar) -> Tensor[]
+  schema_string: aten::_foreach_mul.Scalar(Tensor[] self, Scalar scalar) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -107489,12 +114102,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_minimum_
-  operator_name: _foreach_minimum_
+- name: _foreach_mul_
+  operator_name: _foreach_mul_
   overload_name: Scalar
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_minimum_.Scalar(Tensor(a!)[] self, Scalar scalar) -> ()
+  schema_string: aten::_foreach_mul_.Scalar(Tensor(a!)[] self, Scalar scalar) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -107531,12 +114144,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_add
-  operator_name: _foreach_add
+- name: _foreach_mul
+  operator_name: _foreach_mul
   overload_name: List
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_add.List(Tensor[] self, Tensor[] other, *, Scalar alpha=1) -> Tensor[]
+  schema_string: aten::_foreach_mul.List(Tensor[] self, Tensor[] other) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -107548,14 +114161,7 @@
     is_nullable: false
     name: other
     type: at::TensorList
-  - annotation: null
-    default: 1
-    dynamic_type: const at::Scalar &
-    is_nullable: false
-    kwarg_only: true
-    name: alpha
-    type: const at::Scalar &
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList, const at::Scalar &)
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -107567,13 +114173,6 @@
     is_nullable: false
     name: other
     type: at::TensorList
-  - annotation: null
-    default: 1
-    dynamic_type: const at::Scalar &
-    is_nullable: false
-    kwarg_only: true
-    name: alpha
-    type: const at::Scalar &
   method_of:
   - Type
   - namespace
@@ -107590,12 +114189,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_add_
-  operator_name: _foreach_add_
+- name: _foreach_mul_
+  operator_name: _foreach_mul_
   overload_name: List
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_add_.List(Tensor(a!)[] self, Tensor[] other, *, Scalar alpha=1) -> ()
+  schema_string: aten::_foreach_mul_.List(Tensor(a!)[] self, Tensor[] other) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -107607,14 +114206,7 @@
     is_nullable: false
     name: other
     type: at::TensorList
-  - annotation: null
-    default: 1
-    dynamic_type: const at::Scalar &
-    is_nullable: false
-    kwarg_only: true
-    name: alpha
-    type: const at::Scalar &
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, const at::Scalar &)
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -107626,13 +114218,6 @@
     is_nullable: false
     name: other
     type: at::TensorList
-  - annotation: null
-    default: 1
-    dynamic_type: const at::Scalar &
-    is_nullable: false
-    kwarg_only: true
-    name: alpha
-    type: const at::Scalar &
   method_of:
   - Type
   - namespace
@@ -107646,12 +114231,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_sub
-  operator_name: _foreach_sub
-  overload_name: List
+- name: _foreach_mul
+  operator_name: _foreach_mul
+  overload_name: ScalarList
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_sub.List(Tensor[] self, Tensor[] other, *, Scalar alpha=1) -> Tensor[]
+  schema_string: aten::_foreach_mul.ScalarList(Tensor[] self, Scalar[] scalars) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -107659,18 +114244,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: other
-    type: at::TensorList
-  - annotation: null
-    default: 1
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    kwarg_only: true
-    name: alpha
-    type: const at::Scalar &
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList, const at::Scalar &)
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::ArrayRef<at::Scalar>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -107678,17 +114256,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: other
-    type: at::TensorList
-  - annotation: null
-    default: 1
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    kwarg_only: true
-    name: alpha
-    type: const at::Scalar &
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
   method_of:
   - Type
   - namespace
@@ -107705,12 +114276,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_sub_
-  operator_name: _foreach_sub_
-  overload_name: List
+- name: _foreach_mul_
+  operator_name: _foreach_mul_
+  overload_name: ScalarList
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_sub_.List(Tensor(a!)[] self, Tensor[] other, *, Scalar alpha=1) -> ()
+  schema_string: aten::_foreach_mul_.ScalarList(Tensor(a!)[] self, Scalar[] scalars) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -107718,18 +114289,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: other
-    type: at::TensorList
-  - annotation: null
-    default: 1
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    kwarg_only: true
-    name: alpha
-    type: const at::Scalar &
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, const at::Scalar &)
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
+  schema_order_cpp_signature: void (at::TensorList, at::ArrayRef<at::Scalar>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -107737,17 +114301,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: other
-    type: at::TensorList
-  - annotation: null
-    default: 1
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    kwarg_only: true
-    name: alpha
-    type: const at::Scalar &
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
   method_of:
   - Type
   - namespace
@@ -107763,10 +114320,10 @@
   has_math_kernel: false
 - name: _foreach_mul
   operator_name: _foreach_mul
-  overload_name: List
+  overload_name: Tensor
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_mul.List(Tensor[] self, Tensor[] other) -> Tensor[]
+  schema_string: aten::_foreach_mul.Tensor(Tensor[] self, Tensor other) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -107774,11 +114331,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: at::Tensor
     is_nullable: false
     name: other
-    type: at::TensorList
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList)
+    type: const at::Tensor &
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, const at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -107786,10 +114343,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: at::Tensor
     is_nullable: false
     name: other
-    type: at::TensorList
+    type: const at::Tensor &
   method_of:
   - Type
   - namespace
@@ -107808,10 +114365,10 @@
   has_math_kernel: false
 - name: _foreach_mul_
   operator_name: _foreach_mul_
-  overload_name: List
+  overload_name: Tensor
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_mul_.List(Tensor(a!)[] self, Tensor[] other) -> ()
+  schema_string: aten::_foreach_mul_.Tensor(Tensor(a!)[] self, Tensor other) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -107819,11 +114376,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: at::Tensor
     is_nullable: false
     name: other
-    type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+    type: const at::Tensor &
+  schema_order_cpp_signature: void (at::TensorList, const at::Tensor &)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -107831,10 +114388,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: at::Tensor
     is_nullable: false
     name: other
-    type: at::TensorList
+    type: const at::Tensor &
   method_of:
   - Type
   - namespace
@@ -107850,10 +114407,10 @@
   has_math_kernel: false
 - name: _foreach_div
   operator_name: _foreach_div
-  overload_name: List
+  overload_name: Scalar
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_div.List(Tensor[] self, Tensor[] other) -> Tensor[]
+  schema_string: aten::_foreach_div.Scalar(Tensor[] self, Scalar scalar) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -107861,11 +114418,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: other
-    type: at::TensorList
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList)
+    name: scalar
+    type: const at::Scalar &
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, const at::Scalar &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -107873,10 +114430,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: other
-    type: at::TensorList
+    name: scalar
+    type: const at::Scalar &
   method_of:
   - Type
   - namespace
@@ -107895,10 +114452,10 @@
   has_math_kernel: false
 - name: _foreach_div_
   operator_name: _foreach_div_
-  overload_name: List
+  overload_name: Scalar
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_div_.List(Tensor(a!)[] self, Tensor[] other) -> ()
+  schema_string: aten::_foreach_div_.Scalar(Tensor(a!)[] self, Scalar scalar) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -107906,11 +114463,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: other
-    type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+    name: scalar
+    type: const at::Scalar &
+  schema_order_cpp_signature: void (at::TensorList, const at::Scalar &)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -107918,10 +114475,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: other
-    type: at::TensorList
+    name: scalar
+    type: const at::Scalar &
   method_of:
   - Type
   - namespace
@@ -107935,12 +114492,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_clamp_min
-  operator_name: _foreach_clamp_min
+- name: _foreach_div
+  operator_name: _foreach_div
   overload_name: List
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_clamp_min.List(Tensor[] self, Tensor[] other) -> Tensor[]
+  schema_string: aten::_foreach_div.List(Tensor[] self, Tensor[] other) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -107980,12 +114537,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_clamp_min_
-  operator_name: _foreach_clamp_min_
+- name: _foreach_div_
+  operator_name: _foreach_div_
   overload_name: List
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_clamp_min_.List(Tensor(a!)[] self, Tensor[] other) -> ()
+  schema_string: aten::_foreach_div_.List(Tensor(a!)[] self, Tensor[] other) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -108022,12 +114579,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_clamp_max
-  operator_name: _foreach_clamp_max
-  overload_name: List
+- name: _foreach_div
+  operator_name: _foreach_div
+  overload_name: ScalarList
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_clamp_max.List(Tensor[] self, Tensor[] other) -> Tensor[]
+  schema_string: aten::_foreach_div.ScalarList(Tensor[] self, Scalar[] scalars) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -108035,11 +114592,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    name: other
-    type: at::TensorList
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList)
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::ArrayRef<at::Scalar>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -108047,10 +114604,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    name: other
-    type: at::TensorList
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
   method_of:
   - Type
   - namespace
@@ -108067,12 +114624,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_clamp_max_
-  operator_name: _foreach_clamp_max_
-  overload_name: List
+- name: _foreach_div_
+  operator_name: _foreach_div_
+  overload_name: ScalarList
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_clamp_max_.List(Tensor(a!)[] self, Tensor[] other) -> ()
+  schema_string: aten::_foreach_div_.ScalarList(Tensor(a!)[] self, Scalar[] scalars) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -108080,11 +114637,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    name: other
-    type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
+  schema_order_cpp_signature: void (at::TensorList, at::ArrayRef<at::Scalar>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -108092,10 +114649,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    name: other
-    type: at::TensorList
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
   method_of:
   - Type
   - namespace
@@ -108109,12 +114666,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_maximum
-  operator_name: _foreach_maximum
-  overload_name: List
+- name: _foreach_div
+  operator_name: _foreach_div
+  overload_name: Tensor
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_maximum.List(Tensor[] self, Tensor[] other) -> Tensor[]
+  schema_string: aten::_foreach_div.Tensor(Tensor[] self, Tensor other) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -108122,11 +114679,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: at::Tensor
     is_nullable: false
     name: other
-    type: at::TensorList
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList)
+    type: const at::Tensor &
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, const at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -108134,10 +114691,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: at::Tensor
     is_nullable: false
     name: other
-    type: at::TensorList
+    type: const at::Tensor &
   method_of:
   - Type
   - namespace
@@ -108154,12 +114711,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_maximum_
-  operator_name: _foreach_maximum_
-  overload_name: List
+- name: _foreach_div_
+  operator_name: _foreach_div_
+  overload_name: Tensor
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_maximum_.List(Tensor(a!)[] self, Tensor[] other) -> ()
+  schema_string: aten::_foreach_div_.Tensor(Tensor(a!)[] self, Tensor other) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -108167,11 +114724,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: at::Tensor
     is_nullable: false
     name: other
-    type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+    type: const at::Tensor &
+  schema_order_cpp_signature: void (at::TensorList, const at::Tensor &)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -108179,10 +114736,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: at::Tensor
     is_nullable: false
     name: other
-    type: at::TensorList
+    type: const at::Tensor &
   method_of:
   - Type
   - namespace
@@ -108196,12 +114753,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_minimum
-  operator_name: _foreach_minimum
-  overload_name: List
+- name: _foreach_clamp_max
+  operator_name: _foreach_clamp_max
+  overload_name: Scalar
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_minimum.List(Tensor[] self, Tensor[] other) -> Tensor[]
+  schema_string: aten::_foreach_clamp_max.Scalar(Tensor[] self, Scalar scalar) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -108209,11 +114766,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: other
-    type: at::TensorList
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList)
+    name: scalar
+    type: const at::Scalar &
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, const at::Scalar &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -108221,10 +114778,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: other
-    type: at::TensorList
+    name: scalar
+    type: const at::Scalar &
   method_of:
   - Type
   - namespace
@@ -108241,12 +114798,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_minimum_
-  operator_name: _foreach_minimum_
-  overload_name: List
+- name: _foreach_clamp_max_
+  operator_name: _foreach_clamp_max_
+  overload_name: Scalar
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_minimum_.List(Tensor(a!)[] self, Tensor[] other) -> ()
+  schema_string: aten::_foreach_clamp_max_.Scalar(Tensor(a!)[] self, Scalar scalar) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -108254,11 +114811,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: other
-    type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+    name: scalar
+    type: const at::Scalar &
+  schema_order_cpp_signature: void (at::TensorList, const at::Scalar &)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -108266,10 +114823,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: other
-    type: at::TensorList
+    name: scalar
+    type: const at::Scalar &
   method_of:
   - Type
   - namespace
@@ -108283,12 +114840,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_add
-  operator_name: _foreach_add
-  overload_name: ScalarList
+- name: _foreach_clamp_max
+  operator_name: _foreach_clamp_max
+  overload_name: List
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_add.ScalarList(Tensor[] self, Scalar[] scalars) -> Tensor[]
+  schema_string: aten::_foreach_clamp_max.List(Tensor[] self, Tensor[] other) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -108296,11 +114853,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::ArrayRef<at::Scalar>)
+    name: other
+    type: at::TensorList
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -108308,10 +114865,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
+    name: other
+    type: at::TensorList
   method_of:
   - Type
   - namespace
@@ -108328,12 +114885,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_add_
-  operator_name: _foreach_add_
-  overload_name: ScalarList
+- name: _foreach_clamp_max_
+  operator_name: _foreach_clamp_max_
+  overload_name: List
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_add_.ScalarList(Tensor(a!)[] self, Scalar[] scalars) -> ()
+  schema_string: aten::_foreach_clamp_max_.List(Tensor(a!)[] self, Tensor[] other) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -108341,11 +114898,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
-  schema_order_cpp_signature: void (at::TensorList, at::ArrayRef<at::Scalar>)
+    name: other
+    type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -108353,10 +114910,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
+    name: other
+    type: at::TensorList
   method_of:
   - Type
   - namespace
@@ -108370,12 +114927,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_sub
-  operator_name: _foreach_sub
+- name: _foreach_clamp_max
+  operator_name: _foreach_clamp_max
   overload_name: ScalarList
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_sub.ScalarList(Tensor[] self, Scalar[] scalars) -> Tensor[]
+  schema_string: aten::_foreach_clamp_max.ScalarList(Tensor[] self, Scalar[] scalars) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -108415,12 +114972,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_sub_
-  operator_name: _foreach_sub_
+- name: _foreach_clamp_max_
+  operator_name: _foreach_clamp_max_
   overload_name: ScalarList
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_sub_.ScalarList(Tensor(a!)[] self, Scalar[] scalars) -> ()
+  schema_string: aten::_foreach_clamp_max_.ScalarList(Tensor(a!)[] self, Scalar[] scalars) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -108457,12 +115014,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_div
-  operator_name: _foreach_div
-  overload_name: ScalarList
+- name: _foreach_clamp_min
+  operator_name: _foreach_clamp_min
+  overload_name: Scalar
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_div.ScalarList(Tensor[] self, Scalar[] scalars) -> Tensor[]
+  schema_string: aten::_foreach_clamp_min.Scalar(Tensor[] self, Scalar scalar) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -108470,11 +115027,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::ArrayRef<at::Scalar>)
+    name: scalar
+    type: const at::Scalar &
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, const at::Scalar &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -108482,10 +115039,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
+    name: scalar
+    type: const at::Scalar &
   method_of:
   - Type
   - namespace
@@ -108502,12 +115059,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_div_
-  operator_name: _foreach_div_
-  overload_name: ScalarList
+- name: _foreach_clamp_min_
+  operator_name: _foreach_clamp_min_
+  overload_name: Scalar
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_div_.ScalarList(Tensor(a!)[] self, Scalar[] scalars) -> ()
+  schema_string: aten::_foreach_clamp_min_.Scalar(Tensor(a!)[] self, Scalar scalar) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -108515,11 +115072,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
-  schema_order_cpp_signature: void (at::TensorList, at::ArrayRef<at::Scalar>)
+    name: scalar
+    type: const at::Scalar &
+  schema_order_cpp_signature: void (at::TensorList, const at::Scalar &)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -108527,10 +115084,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
+    name: scalar
+    type: const at::Scalar &
   method_of:
   - Type
   - namespace
@@ -108544,12 +115101,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_mul
-  operator_name: _foreach_mul
-  overload_name: ScalarList
+- name: _foreach_clamp_min
+  operator_name: _foreach_clamp_min
+  overload_name: List
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_mul.ScalarList(Tensor[] self, Scalar[] scalars) -> Tensor[]
+  schema_string: aten::_foreach_clamp_min.List(Tensor[] self, Tensor[] other) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -108557,11 +115114,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::ArrayRef<at::Scalar>)
+    name: other
+    type: at::TensorList
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -108569,10 +115126,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
+    name: other
+    type: at::TensorList
   method_of:
   - Type
   - namespace
@@ -108589,12 +115146,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_mul_
-  operator_name: _foreach_mul_
-  overload_name: ScalarList
+- name: _foreach_clamp_min_
+  operator_name: _foreach_clamp_min_
+  overload_name: List
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_mul_.ScalarList(Tensor(a!)[] self, Scalar[] scalars) -> ()
+  schema_string: aten::_foreach_clamp_min_.List(Tensor(a!)[] self, Tensor[] other) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -108602,11 +115159,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
-  schema_order_cpp_signature: void (at::TensorList, at::ArrayRef<at::Scalar>)
+    name: other
+    type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -108614,10 +115171,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
+    name: other
+    type: at::TensorList
   method_of:
   - Type
   - namespace
@@ -108718,12 +115275,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_clamp_max
-  operator_name: _foreach_clamp_max
-  overload_name: ScalarList
+- name: _foreach_maximum
+  operator_name: _foreach_maximum
+  overload_name: Scalar
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_clamp_max.ScalarList(Tensor[] self, Scalar[] scalars) -> Tensor[]
+  schema_string: aten::_foreach_maximum.Scalar(Tensor[] self, Scalar scalar) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -108731,11 +115288,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::ArrayRef<at::Scalar>)
+    name: scalar
+    type: const at::Scalar &
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, const at::Scalar &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -108743,10 +115300,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
+    name: scalar
+    type: const at::Scalar &
   method_of:
   - Type
   - namespace
@@ -108763,12 +115320,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_clamp_max_
-  operator_name: _foreach_clamp_max_
-  overload_name: ScalarList
+- name: _foreach_maximum_
+  operator_name: _foreach_maximum_
+  overload_name: Scalar
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_clamp_max_.ScalarList(Tensor(a!)[] self, Scalar[] scalars) -> ()
+  schema_string: aten::_foreach_maximum_.Scalar(Tensor(a!)[] self, Scalar scalar) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -108776,11 +115333,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
-  schema_order_cpp_signature: void (at::TensorList, at::ArrayRef<at::Scalar>)
+    name: scalar
+    type: const at::Scalar &
+  schema_order_cpp_signature: void (at::TensorList, const at::Scalar &)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -108788,10 +115345,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
+    name: scalar
+    type: const at::Scalar &
   method_of:
   - Type
   - namespace
@@ -108807,10 +115364,10 @@
   has_math_kernel: false
 - name: _foreach_maximum
   operator_name: _foreach_maximum
-  overload_name: ScalarList
+  overload_name: List
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_maximum.ScalarList(Tensor[] self, Scalar[] scalars) -> Tensor[]
+  schema_string: aten::_foreach_maximum.List(Tensor[] self, Tensor[] other) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -108818,11 +115375,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::ArrayRef<at::Scalar>)
+    name: other
+    type: at::TensorList
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -108830,10 +115387,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
+    name: other
+    type: at::TensorList
   method_of:
   - Type
   - namespace
@@ -108852,10 +115409,10 @@
   has_math_kernel: false
 - name: _foreach_maximum_
   operator_name: _foreach_maximum_
-  overload_name: ScalarList
+  overload_name: List
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_maximum_.ScalarList(Tensor(a!)[] self, Scalar[] scalars) -> ()
+  schema_string: aten::_foreach_maximum_.List(Tensor(a!)[] self, Tensor[] other) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -108863,11 +115420,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
-  schema_order_cpp_signature: void (at::TensorList, at::ArrayRef<at::Scalar>)
+    name: other
+    type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -108875,10 +115432,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
+    name: other
+    type: at::TensorList
   method_of:
   - Type
   - namespace
@@ -108892,12 +115449,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_minimum
-  operator_name: _foreach_minimum
+- name: _foreach_maximum
+  operator_name: _foreach_maximum
   overload_name: ScalarList
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_minimum.ScalarList(Tensor[] self, Scalar[] scalars) -> Tensor[]
+  schema_string: aten::_foreach_maximum.ScalarList(Tensor[] self, Scalar[] scalars) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -108937,12 +115494,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_minimum_
-  operator_name: _foreach_minimum_
+- name: _foreach_maximum_
+  operator_name: _foreach_maximum_
   overload_name: ScalarList
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_minimum_.ScalarList(Tensor(a!)[] self, Scalar[] scalars) -> ()
+  schema_string: aten::_foreach_maximum_.ScalarList(Tensor(a!)[] self, Scalar[] scalars) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -108979,25 +115536,35 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_exp
-  operator_name: _foreach_exp
-  overload_name: ''
+- name: _foreach_minimum
+  operator_name: _foreach_minimum
+  overload_name: Scalar
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_exp(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_minimum.Scalar(Tensor[] self, Scalar scalar) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: scalar
+    type: const at::Scalar &
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, const at::Scalar &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: scalar
+    type: const at::Scalar &
   method_of:
   - Type
   - namespace
@@ -109014,25 +115581,35 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_zero_
-  operator_name: _foreach_zero_
-  overload_name: ''
+- name: _foreach_minimum_
+  operator_name: _foreach_minimum_
+  overload_name: Scalar
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_zero_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_minimum_.Scalar(Tensor(a!)[] self, Scalar scalar) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList)
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: scalar
+    type: const at::Scalar &
+  schema_order_cpp_signature: void (at::TensorList, const at::Scalar &)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: scalar
+    type: const at::Scalar &
   method_of:
   - Type
   - namespace
@@ -109046,56 +115623,34 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_exp_
-  operator_name: _foreach_exp_
-  overload_name: ''
+- name: _foreach_minimum
+  operator_name: _foreach_minimum
+  overload_name: List
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_exp_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_minimum.List(Tensor[] self, Tensor[] other) -> Tensor[]
   arguments:
-  - annotation: a!
+  - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList)
-  schema_order_arguments:
-  - annotation: a!
+  - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: self
+    name: other
     type: at::TensorList
-  method_of:
-  - Type
-  - namespace
-  mode: native
-  python_module: ''
-  returns: []
-  inplace: true
-  is_factory_method: false
-  abstract: true
-  device_guard: true
-  with_gil: false
-  deprecated: false
-  has_math_kernel: false
-- name: _foreach_sqrt
-  operator_name: _foreach_sqrt
-  overload_name: ''
-  manual_kernel_registration: false
-  category_override: ''
-  schema_string: aten::_foreach_sqrt(Tensor[] self) -> Tensor[]
-  arguments:
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList)
+  schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
-  schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: self
+    name: other
     type: at::TensorList
   method_of:
   - Type
@@ -109113,25 +115668,35 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_sqrt_
-  operator_name: _foreach_sqrt_
-  overload_name: ''
+- name: _foreach_minimum_
+  operator_name: _foreach_minimum_
+  overload_name: List
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_sqrt_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_minimum_.List(Tensor(a!)[] self, Tensor[] other) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList)
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: other
+    type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: other
+    type: at::TensorList
   method_of:
   - Type
   - namespace
@@ -109145,25 +115710,35 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_abs
-  operator_name: _foreach_abs
-  overload_name: ''
+- name: _foreach_minimum
+  operator_name: _foreach_minimum
+  overload_name: ScalarList
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_abs(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_minimum.ScalarList(Tensor[] self, Scalar[] scalars) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
+  - annotation: null
+    dynamic_type: at::ArrayRef<at::Scalar>
+    is_nullable: false
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::ArrayRef<at::Scalar>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::ArrayRef<at::Scalar>
+    is_nullable: false
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
   method_of:
   - Type
   - namespace
@@ -109180,25 +115755,35 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_abs_
-  operator_name: _foreach_abs_
-  overload_name: ''
+- name: _foreach_minimum_
+  operator_name: _foreach_minimum_
+  overload_name: ScalarList
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_abs_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_minimum_.ScalarList(Tensor(a!)[] self, Scalar[] scalars) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList)
+  - annotation: null
+    dynamic_type: at::ArrayRef<at::Scalar>
+    is_nullable: false
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
+  schema_order_cpp_signature: void (at::TensorList, at::ArrayRef<at::Scalar>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::ArrayRef<at::Scalar>
+    is_nullable: false
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
   method_of:
   - Type
   - namespace
@@ -109212,25 +115797,57 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_acos
-  operator_name: _foreach_acos
-  overload_name: ''
+- name: _foreach_addcdiv
+  operator_name: _foreach_addcdiv
+  overload_name: Scalar
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_acos(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_addcdiv.Scalar(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar value=1) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    default: 1
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: value
+    type: const at::Scalar &
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList, at::TensorList, const at::Scalar &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    default: 1
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: value
+    type: const at::Scalar &
   method_of:
   - Type
   - namespace
@@ -109247,57 +115864,120 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_acos_
-  operator_name: _foreach_acos_
-  overload_name: ''
+- name: _foreach_addcdiv
+  operator_name: _foreach_addcdiv
+  overload_name: ScalarList
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_acos_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_addcdiv.ScalarList(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar[] scalars) -> Tensor[]
   arguments:
-  - annotation: a!
+  - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList)
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::ArrayRef<at::Scalar>
+    is_nullable: false
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList, at::TensorList, at::ArrayRef<at::Scalar>)
   schema_order_arguments:
-  - annotation: a!
+  - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::ArrayRef<at::Scalar>
+    is_nullable: false
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
   method_of:
   - Type
   - namespace
   mode: native
   python_module: ''
-  returns: []
-  inplace: true
+  returns:
+  - dynamic_type: at::TensorList
+    name: result
+    type: ::std::vector<at::Tensor>
+  inplace: false
   is_factory_method: false
   abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_asin
-  operator_name: _foreach_asin
-  overload_name: ''
+- name: _foreach_addcdiv
+  operator_name: _foreach_addcdiv
+  overload_name: Tensor
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_asin(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_addcdiv.Tensor(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Tensor scalars) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: scalars
+    type: const at::Tensor &
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList, at::TensorList, const at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: scalars
+    type: const at::Tensor &
   method_of:
   - Type
   - namespace
@@ -109314,25 +115994,57 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_asin_
-  operator_name: _foreach_asin_
-  overload_name: ''
+- name: _foreach_addcdiv_
+  operator_name: _foreach_addcdiv_
+  overload_name: Scalar
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_asin_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_addcdiv_.Scalar(Tensor(a!)[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar value=1) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList)
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    default: 1
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: value
+    type: const at::Scalar &
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, const at::Scalar &)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    default: 1
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: value
+    type: const at::Scalar &
   method_of:
   - Type
   - namespace
@@ -109346,60 +116058,117 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_atan
-  operator_name: _foreach_atan
-  overload_name: ''
+- name: _foreach_addcdiv_
+  operator_name: _foreach_addcdiv_
+  overload_name: ScalarList
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_atan(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_addcdiv_.ScalarList(Tensor(a!)[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar[] scalars) -> ()
   arguments:
-  - annotation: null
+  - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
-  schema_order_arguments:
   - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::ArrayRef<at::Scalar>
+    is_nullable: false
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, at::ArrayRef<at::Scalar>)
+  schema_order_arguments:
+  - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::ArrayRef<at::Scalar>
+    is_nullable: false
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
   method_of:
   - Type
   - namespace
   mode: native
   python_module: ''
-  returns:
-  - dynamic_type: at::TensorList
-    name: result
-    type: ::std::vector<at::Tensor>
-  inplace: false
+  returns: []
+  inplace: true
   is_factory_method: false
   abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_atan_
-  operator_name: _foreach_atan_
-  overload_name: ''
+- name: _foreach_addcdiv_
+  operator_name: _foreach_addcdiv_
+  overload_name: Tensor
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_atan_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_addcdiv_.Tensor(Tensor(a!)[] self, Tensor[] tensor1, Tensor[] tensor2, Tensor scalars) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList)
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: scalars
+    type: const at::Tensor &
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, const at::Tensor &)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: scalars
+    type: const at::Tensor &
   method_of:
   - Type
   - namespace
@@ -109413,25 +116182,57 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_ceil
-  operator_name: _foreach_ceil
-  overload_name: ''
+- name: _foreach_addcmul
+  operator_name: _foreach_addcmul
+  overload_name: Scalar
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_ceil(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_addcmul.Scalar(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar value=1) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    default: 1
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: value
+    type: const at::Scalar &
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList, at::TensorList, const at::Scalar &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    default: 1
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: value
+    type: const at::Scalar &
   method_of:
   - Type
   - namespace
@@ -109448,57 +116249,120 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_ceil_
-  operator_name: _foreach_ceil_
-  overload_name: ''
+- name: _foreach_addcmul
+  operator_name: _foreach_addcmul
+  overload_name: ScalarList
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_ceil_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_addcmul.ScalarList(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar[] scalars) -> Tensor[]
   arguments:
-  - annotation: a!
+  - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList)
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::ArrayRef<at::Scalar>
+    is_nullable: false
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList, at::TensorList, at::ArrayRef<at::Scalar>)
   schema_order_arguments:
-  - annotation: a!
+  - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::ArrayRef<at::Scalar>
+    is_nullable: false
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
   method_of:
   - Type
   - namespace
   mode: native
   python_module: ''
-  returns: []
-  inplace: true
+  returns:
+  - dynamic_type: at::TensorList
+    name: result
+    type: ::std::vector<at::Tensor>
+  inplace: false
   is_factory_method: false
   abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_cos
-  operator_name: _foreach_cos
-  overload_name: ''
+- name: _foreach_addcmul
+  operator_name: _foreach_addcmul
+  overload_name: Tensor
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_cos(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_addcmul.Tensor(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Tensor scalars) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: scalars
+    type: const at::Tensor &
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList, at::TensorList, const at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: scalars
+    type: const at::Tensor &
   method_of:
   - Type
   - namespace
@@ -109515,25 +116379,57 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_cos_
-  operator_name: _foreach_cos_
-  overload_name: ''
+- name: _foreach_addcmul_
+  operator_name: _foreach_addcmul_
+  overload_name: Scalar
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_cos_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_addcmul_.Scalar(Tensor(a!)[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar value=1) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList)
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    default: 1
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: value
+    type: const at::Scalar &
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, const at::Scalar &)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    default: 1
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: value
+    type: const at::Scalar &
   method_of:
   - Type
   - namespace
@@ -109547,60 +116443,117 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_cosh
-  operator_name: _foreach_cosh
-  overload_name: ''
+- name: _foreach_addcmul_
+  operator_name: _foreach_addcmul_
+  overload_name: ScalarList
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_cosh(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_addcmul_.ScalarList(Tensor(a!)[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar[] scalars) -> ()
   arguments:
-  - annotation: null
+  - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
-  schema_order_arguments:
   - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::ArrayRef<at::Scalar>
+    is_nullable: false
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, at::ArrayRef<at::Scalar>)
+  schema_order_arguments:
+  - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::ArrayRef<at::Scalar>
+    is_nullable: false
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
   method_of:
   - Type
   - namespace
   mode: native
   python_module: ''
-  returns:
-  - dynamic_type: at::TensorList
-    name: result
-    type: ::std::vector<at::Tensor>
-  inplace: false
+  returns: []
+  inplace: true
   is_factory_method: false
   abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_cosh_
-  operator_name: _foreach_cosh_
-  overload_name: ''
+- name: _foreach_addcmul_
+  operator_name: _foreach_addcmul_
+  overload_name: Tensor
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_cosh_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_addcmul_.Tensor(Tensor(a!)[] self, Tensor[] tensor1, Tensor[] tensor2, Tensor scalars) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList)
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: scalars
+    type: const at::Tensor &
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, const at::Tensor &)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: scalars
+    type: const at::Tensor &
   method_of:
   - Type
   - namespace
@@ -109614,12 +116567,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_erf
-  operator_name: _foreach_erf
+- name: _foreach_abs
+  operator_name: _foreach_abs
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_erf(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_abs(Tensor[] self) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -109649,12 +116602,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_erf_
-  operator_name: _foreach_erf_
+- name: _foreach_abs_
+  operator_name: _foreach_abs_
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_erf_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_abs_(Tensor(a!)[] self) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -109681,12 +116634,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_erfc
-  operator_name: _foreach_erfc
+- name: _foreach_acos
+  operator_name: _foreach_acos
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_erfc(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_acos(Tensor[] self) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -109716,12 +116669,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_erfc_
-  operator_name: _foreach_erfc_
+- name: _foreach_acos_
+  operator_name: _foreach_acos_
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_erfc_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_acos_(Tensor(a!)[] self) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -109748,12 +116701,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_expm1
-  operator_name: _foreach_expm1
+- name: _foreach_asin
+  operator_name: _foreach_asin
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_expm1(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_asin(Tensor[] self) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -109783,12 +116736,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_expm1_
-  operator_name: _foreach_expm1_
+- name: _foreach_asin_
+  operator_name: _foreach_asin_
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_expm1_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_asin_(Tensor(a!)[] self) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -109815,12 +116768,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_floor
-  operator_name: _foreach_floor
+- name: _foreach_atan
+  operator_name: _foreach_atan
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_floor(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_atan(Tensor[] self) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -109850,12 +116803,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_floor_
-  operator_name: _foreach_floor_
+- name: _foreach_atan_
+  operator_name: _foreach_atan_
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_floor_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_atan_(Tensor(a!)[] self) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -109882,12 +116835,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_log
-  operator_name: _foreach_log
+- name: _foreach_ceil
+  operator_name: _foreach_ceil
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_log(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_ceil(Tensor[] self) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -109917,12 +116870,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_log_
-  operator_name: _foreach_log_
+- name: _foreach_ceil_
+  operator_name: _foreach_ceil_
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_log_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_ceil_(Tensor(a!)[] self) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -109949,12 +116902,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_log10
-  operator_name: _foreach_log10
+- name: _foreach_cos
+  operator_name: _foreach_cos
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_log10(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_cos(Tensor[] self) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -109984,12 +116937,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_log10_
-  operator_name: _foreach_log10_
+- name: _foreach_cos_
+  operator_name: _foreach_cos_
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_log10_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_cos_(Tensor(a!)[] self) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -110016,12 +116969,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_log1p
-  operator_name: _foreach_log1p
+- name: _foreach_cosh
+  operator_name: _foreach_cosh
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_log1p(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_cosh(Tensor[] self) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -110051,12 +117004,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_log1p_
-  operator_name: _foreach_log1p_
+- name: _foreach_cosh_
+  operator_name: _foreach_cosh_
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_log1p_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_cosh_(Tensor(a!)[] self) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -110083,12 +117036,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_log2
-  operator_name: _foreach_log2
+- name: _foreach_erf
+  operator_name: _foreach_erf
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_log2(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_erf(Tensor[] self) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -110118,12 +117071,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_log2_
-  operator_name: _foreach_log2_
+- name: _foreach_erf_
+  operator_name: _foreach_erf_
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_log2_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_erf_(Tensor(a!)[] self) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -110150,12 +117103,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_neg
-  operator_name: _foreach_neg
+- name: _foreach_erfc
+  operator_name: _foreach_erfc
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_neg(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_erfc(Tensor[] self) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -110185,12 +117138,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_neg_
-  operator_name: _foreach_neg_
+- name: _foreach_erfc_
+  operator_name: _foreach_erfc_
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_neg_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_erfc_(Tensor(a!)[] self) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -110217,12 +117170,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_tan
-  operator_name: _foreach_tan
+- name: _foreach_exp
+  operator_name: _foreach_exp
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_tan(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_exp(Tensor[] self) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -110252,12 +117205,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_tan_
-  operator_name: _foreach_tan_
+- name: _foreach_exp_
+  operator_name: _foreach_exp_
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_tan_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_exp_(Tensor(a!)[] self) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -110284,12 +117237,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_tanh
-  operator_name: _foreach_tanh
+- name: _foreach_expm1
+  operator_name: _foreach_expm1
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_tanh(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_expm1(Tensor[] self) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -110319,12 +117272,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_tanh_
-  operator_name: _foreach_tanh_
+- name: _foreach_expm1_
+  operator_name: _foreach_expm1_
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_tanh_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_expm1_(Tensor(a!)[] self) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -110351,12 +117304,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_sin
-  operator_name: _foreach_sin
+- name: _foreach_floor
+  operator_name: _foreach_floor
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_sin(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_floor(Tensor[] self) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -110386,12 +117339,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_sin_
-  operator_name: _foreach_sin_
+- name: _foreach_floor_
+  operator_name: _foreach_floor_
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_sin_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_floor_(Tensor(a!)[] self) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -110418,12 +117371,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_sinh
-  operator_name: _foreach_sinh
+- name: _foreach_frac
+  operator_name: _foreach_frac
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_sinh(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_frac(Tensor[] self) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -110453,12 +117406,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_sinh_
-  operator_name: _foreach_sinh_
+- name: _foreach_frac_
+  operator_name: _foreach_frac_
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_sinh_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_frac_(Tensor(a!)[] self) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -110485,25 +117438,45 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_round
-  operator_name: _foreach_round
-  overload_name: ''
+- name: _foreach_lerp
+  operator_name: _foreach_lerp
+  overload_name: List
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_round(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_lerp.List(Tensor[] self, Tensor[] tensors1, Tensor[] weights) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensors1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: weights
+    type: at::TensorList
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensors1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: weights
+    type: at::TensorList
   method_of:
   - Type
   - namespace
@@ -110520,25 +117493,45 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_round_
-  operator_name: _foreach_round_
-  overload_name: ''
+- name: _foreach_lerp_
+  operator_name: _foreach_lerp_
+  overload_name: List
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_round_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_lerp_.List(Tensor(a!)[] self, Tensor[] tensors1, Tensor[] weights) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList)
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensors1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: weights
+    type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensors1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: weights
+    type: at::TensorList
   method_of:
   - Type
   - namespace
@@ -110552,25 +117545,45 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_lgamma
-  operator_name: _foreach_lgamma
-  overload_name: ''
+- name: _foreach_lerp
+  operator_name: _foreach_lerp
+  overload_name: Scalar
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_lgamma(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_lerp.Scalar(Tensor[] self, Tensor[] tensors1, Scalar weight) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensors1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: weight
+    type: const at::Scalar &
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList, const at::Scalar &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensors1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: weight
+    type: const at::Scalar &
   method_of:
   - Type
   - namespace
@@ -110587,25 +117600,45 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_lgamma_
-  operator_name: _foreach_lgamma_
-  overload_name: ''
+- name: _foreach_lerp_
+  operator_name: _foreach_lerp_
+  overload_name: Scalar
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_lgamma_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_lerp_.Scalar(Tensor(a!)[] self, Tensor[] tensors1, Scalar weight) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList)
-  schema_order_arguments:
-  - annotation: a!
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensors1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: weight
+    type: const at::Scalar &
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, const at::Scalar &)
+  schema_order_arguments:
+  - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensors1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: weight
+    type: const at::Scalar &
   method_of:
   - Type
   - namespace
@@ -110619,12 +117652,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_frac
-  operator_name: _foreach_frac
+- name: _foreach_lgamma
+  operator_name: _foreach_lgamma
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_frac(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_lgamma(Tensor[] self) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -110654,12 +117687,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_frac_
-  operator_name: _foreach_frac_
+- name: _foreach_lgamma_
+  operator_name: _foreach_lgamma_
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_frac_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_lgamma_(Tensor(a!)[] self) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -110686,12 +117719,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_reciprocal
-  operator_name: _foreach_reciprocal
+- name: _foreach_log
+  operator_name: _foreach_log
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_reciprocal(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_log(Tensor[] self) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -110721,12 +117754,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_reciprocal_
-  operator_name: _foreach_reciprocal_
+- name: _foreach_log_
+  operator_name: _foreach_log_
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_reciprocal_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_log_(Tensor(a!)[] self) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -110753,12 +117786,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_sigmoid
-  operator_name: _foreach_sigmoid
+- name: _foreach_log10
+  operator_name: _foreach_log10
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_sigmoid(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_log10(Tensor[] self) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -110788,12 +117821,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_sigmoid_
-  operator_name: _foreach_sigmoid_
+- name: _foreach_log10_
+  operator_name: _foreach_log10_
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_sigmoid_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_log10_(Tensor(a!)[] self) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -110820,12 +117853,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_trunc
-  operator_name: _foreach_trunc
+- name: _foreach_log1p
+  operator_name: _foreach_log1p
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_trunc(Tensor[] self) -> Tensor[]
+  schema_string: aten::_foreach_log1p(Tensor[] self) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -110855,12 +117888,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_trunc_
-  operator_name: _foreach_trunc_
+- name: _foreach_log1p_
+  operator_name: _foreach_log1p_
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_trunc_(Tensor(a!)[] self) -> ()
+  schema_string: aten::_foreach_log1p_(Tensor(a!)[] self) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -110887,121 +117920,60 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_addcdiv_
-  operator_name: _foreach_addcdiv_
-  overload_name: Scalar
+- name: _foreach_log2
+  operator_name: _foreach_log2
+  overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_addcdiv_.Scalar(Tensor(a!)[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar value=1) -> ()
+  schema_string: aten::_foreach_log2(Tensor[] self) -> Tensor[]
   arguments:
-  - annotation: a!
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: self
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor1
-    type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor2
-    type: at::TensorList
-  - annotation: null
-    default: 1
-    dynamic_type: const at::Scalar &
-    is_nullable: false
-    name: value
-    type: const at::Scalar &
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, const at::Scalar &)
-  schema_order_arguments:
-  - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
+  schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor1
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor2
+    name: self
     type: at::TensorList
-  - annotation: null
-    default: 1
-    dynamic_type: const at::Scalar &
-    is_nullable: false
-    name: value
-    type: const at::Scalar &
   method_of:
   - Type
   - namespace
   mode: native
   python_module: ''
-  returns: []
-  inplace: true
+  returns:
+  - dynamic_type: at::TensorList
+    name: result
+    type: ::std::vector<at::Tensor>
+  inplace: false
   is_factory_method: false
   abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_addcmul_
-  operator_name: _foreach_addcmul_
-  overload_name: Scalar
+- name: _foreach_log2_
+  operator_name: _foreach_log2_
+  overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_addcmul_.Scalar(Tensor(a!)[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar value=1) -> ()
+  schema_string: aten::_foreach_log2_(Tensor(a!)[] self) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor1
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor2
-    type: at::TensorList
-  - annotation: null
-    default: 1
-    dynamic_type: const at::Scalar &
-    is_nullable: false
-    name: value
-    type: const at::Scalar &
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, const at::Scalar &)
+  schema_order_cpp_signature: void (at::TensorList)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor1
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor2
-    type: at::TensorList
-  - annotation: null
-    default: 1
-    dynamic_type: const at::Scalar &
-    is_nullable: false
-    name: value
-    type: const at::Scalar &
   method_of:
   - Type
   - namespace
@@ -111015,179 +117987,95 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_addcdiv_
-  operator_name: _foreach_addcdiv_
-  overload_name: ScalarList
+- name: _foreach_max
+  operator_name: _foreach_max
+  overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_addcdiv_.ScalarList(Tensor(a!)[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar[] scalars) -> ()
+  schema_string: aten::_foreach_max(Tensor[] self) -> Tensor[]
   arguments:
-  - annotation: a!
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: self
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor1
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor2
-    type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
-    is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, at::ArrayRef<at::Scalar>)
-  schema_order_arguments:
-  - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
+  schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor1
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor2
+    name: self
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
-    is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
   method_of:
   - Type
   - namespace
   mode: native
   python_module: ''
-  returns: []
-  inplace: true
+  returns:
+  - dynamic_type: at::TensorList
+    name: result
+    type: ::std::vector<at::Tensor>
+  inplace: false
   is_factory_method: false
   abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_addcdiv_
-  operator_name: _foreach_addcdiv_
-  overload_name: Tensor
+- name: _foreach_neg
+  operator_name: _foreach_neg
+  overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_addcdiv_.Tensor(Tensor(a!)[] self, Tensor[] tensor1, Tensor[] tensor2, Tensor scalars) -> ()
+  schema_string: aten::_foreach_neg(Tensor[] self) -> Tensor[]
   arguments:
-  - annotation: a!
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: self
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor1
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor2
-    type: at::TensorList
   - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: scalars
-    type: const at::Tensor &
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, const at::Tensor &)
-  schema_order_arguments:
-  - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
+  schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor1
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor2
+    name: self
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: scalars
-    type: const at::Tensor &
   method_of:
   - Type
   - namespace
   mode: native
   python_module: ''
-  returns: []
-  inplace: true
+  returns:
+  - dynamic_type: at::TensorList
+    name: result
+    type: ::std::vector<at::Tensor>
+  inplace: false
   is_factory_method: false
   abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_addcmul_
-  operator_name: _foreach_addcmul_
-  overload_name: ScalarList
+- name: _foreach_neg_
+  operator_name: _foreach_neg_
+  overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_addcmul_.ScalarList(Tensor(a!)[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar[] scalars) -> ()
+  schema_string: aten::_foreach_neg_(Tensor(a!)[] self) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor1
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor2
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
-    is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, at::ArrayRef<at::Scalar>)
+  schema_order_cpp_signature: void (at::TensorList)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor1
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor2
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
-    is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
   method_of:
   - Type
   - namespace
@@ -111201,74 +118089,71 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_addcmul_
-  operator_name: _foreach_addcmul_
-  overload_name: Tensor
+- name: _foreach_norm
+  operator_name: _foreach_norm
+  overload_name: Scalar
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_addcmul_.Tensor(Tensor(a!)[] self, Tensor[] tensor1, Tensor[] tensor2, Tensor scalars) -> ()
+  schema_string: aten::_foreach_norm.Scalar(Tensor[] self, Scalar ord=2, ScalarType? dtype=None) -> Tensor[]
   arguments:
-  - annotation: a!
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: self
-    type: at::TensorList
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor1
+    name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    default: 2
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: tensor2
-    type: at::TensorList
+    name: ord
+    type: const at::Scalar &
   - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: scalars
-    type: const at::Tensor &
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, const at::Tensor &)
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, const at::Scalar &, ::std::optional<at::ScalarType>)
   schema_order_arguments:
-  - annotation: a!
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: self
-    type: at::TensorList
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor1
+    name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    default: 2
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: tensor2
-    type: at::TensorList
+    name: ord
+    type: const at::Scalar &
   - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: scalars
-    type: const at::Tensor &
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - namespace
   mode: native
   python_module: ''
-  returns: []
-  inplace: true
+  returns:
+  - dynamic_type: at::TensorList
+    name: result
+    type: ::std::vector<at::Tensor>
+  inplace: false
   is_factory_method: false
   abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_addcdiv
-  operator_name: _foreach_addcdiv
-  overload_name: Scalar
+- name: _foreach_pow
+  operator_name: _foreach_pow
+  overload_name: List
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_addcdiv.Scalar(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar value=1) -> Tensor[]
+  schema_string: aten::_foreach_pow.List(Tensor[] self, Tensor[] exponent) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -111278,20 +118163,9 @@
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor1
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor2
+    name: exponent
     type: at::TensorList
-  - annotation: null
-    default: 1
-    dynamic_type: const at::Scalar &
-    is_nullable: false
-    name: value
-    type: const at::Scalar &
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList, at::TensorList, const at::Scalar &)
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -111301,19 +118175,8 @@
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor1
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor2
+    name: exponent
     type: at::TensorList
-  - annotation: null
-    default: 1
-    dynamic_type: const at::Scalar &
-    is_nullable: false
-    name: value
-    type: const at::Scalar &
   method_of:
   - Type
   - namespace
@@ -111330,12 +118193,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_addcmul
-  operator_name: _foreach_addcmul
+- name: _foreach_pow
+  operator_name: _foreach_pow
   overload_name: Scalar
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_addcmul.Scalar(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar value=1) -> Tensor[]
+  schema_string: aten::_foreach_pow.Scalar(Tensor[] self, Scalar exponent) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -111343,22 +118206,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor1
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor2
-    type: at::TensorList
-  - annotation: null
-    default: 1
     dynamic_type: const at::Scalar &
     is_nullable: false
-    name: value
+    name: exponent
     type: const at::Scalar &
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList, at::TensorList, const at::Scalar &)
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, const at::Scalar &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -111366,20 +118218,9 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor1
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor2
-    type: at::TensorList
-  - annotation: null
-    default: 1
     dynamic_type: const at::Scalar &
     is_nullable: false
-    name: value
+    name: exponent
     type: const at::Scalar &
   method_of:
   - Type
@@ -111397,54 +118238,34 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_addcdiv
-  operator_name: _foreach_addcdiv
+- name: _foreach_pow
+  operator_name: _foreach_pow
   overload_name: ScalarList
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_addcdiv.ScalarList(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar[] scalars) -> Tensor[]
+  schema_string: aten::_foreach_pow.ScalarList(Tensor[] self, Scalar[] exponent) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor1
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor2
-    type: at::TensorList
   - annotation: null
     dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    name: scalars
+    name: exponent
     type: at::ArrayRef<at::Scalar>
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList, at::TensorList, at::ArrayRef<at::Scalar>)
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::ArrayRef<at::Scalar>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor1
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor2
-    type: at::TensorList
   - annotation: null
     dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    name: scalars
+    name: exponent
     type: at::ArrayRef<at::Scalar>
   method_of:
   - Type
@@ -111462,55 +118283,35 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_addcdiv
-  operator_name: _foreach_addcdiv
-  overload_name: Tensor
+- name: _foreach_pow
+  operator_name: _foreach_pow
+  overload_name: ScalarAndTensor
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_addcdiv.Tensor(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Tensor scalars) -> Tensor[]
+  schema_string: aten::_foreach_pow.ScalarAndTensor(Scalar self, Tensor[] exponent) -> Tensor[]
   arguments:
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: const at::Scalar &
     is_nullable: false
     name: self
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor1
-    type: at::TensorList
+    type: const at::Scalar &
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor2
+    name: exponent
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: scalars
-    type: const at::Tensor &
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList, at::TensorList, const at::Tensor &)
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (const at::Scalar &, at::TensorList)
   schema_order_arguments:
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: const at::Scalar &
     is_nullable: false
     name: self
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor1
-    type: at::TensorList
+    type: const at::Scalar &
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor2
+    name: exponent
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: scalars
-    type: const at::Tensor &
   method_of:
   - Type
   - namespace
@@ -111527,14 +118328,14 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_addcmul
-  operator_name: _foreach_addcmul
-  overload_name: ScalarList
+- name: _foreach_pow_
+  operator_name: _foreach_pow_
+  overload_name: List
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_addcmul.ScalarList(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar[] scalars) -> Tensor[]
+  schema_string: aten::_foreach_pow_.List(Tensor(a!)[] self, Tensor[] exponent) -> ()
   arguments:
-  - annotation: null
+  - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
@@ -111542,21 +118343,11 @@
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor1
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor2
+    name: exponent
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
-    is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList, at::TensorList, at::ArrayRef<at::Scalar>)
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
   schema_order_arguments:
-  - annotation: null
+  - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
@@ -111564,130 +118355,124 @@
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor1
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor2
+    name: exponent
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
-    is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
   method_of:
   - Type
   - namespace
   mode: native
   python_module: ''
-  returns:
-  - dynamic_type: at::TensorList
-    name: result
-    type: ::std::vector<at::Tensor>
-  inplace: false
+  returns: []
+  inplace: true
   is_factory_method: false
   abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_addcmul
-  operator_name: _foreach_addcmul
-  overload_name: Tensor
+- name: _foreach_pow_
+  operator_name: _foreach_pow_
+  overload_name: Scalar
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_addcmul.Tensor(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Tensor scalars) -> Tensor[]
+  schema_string: aten::_foreach_pow_.Scalar(Tensor(a!)[] self, Scalar exponent) -> ()
   arguments:
-  - annotation: null
+  - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: tensor1
-    type: at::TensorList
-  - annotation: null
+    name: exponent
+    type: const at::Scalar &
+  schema_order_cpp_signature: void (at::TensorList, const at::Scalar &)
+  schema_order_arguments:
+  - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor2
+    name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalars
-    type: const at::Tensor &
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList, at::TensorList, const at::Tensor &)
-  schema_order_arguments:
-  - annotation: null
+    name: exponent
+    type: const at::Scalar &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: true
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foreach_pow_
+  operator_name: _foreach_pow_
+  overload_name: ScalarList
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foreach_pow_.ScalarList(Tensor(a!)[] self, Scalar[] exponent) -> ()
+  arguments:
+  - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    name: tensor1
-    type: at::TensorList
-  - annotation: null
+    name: exponent
+    type: at::ArrayRef<at::Scalar>
+  schema_order_cpp_signature: void (at::TensorList, at::ArrayRef<at::Scalar>)
+  schema_order_arguments:
+  - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor2
+    name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    name: scalars
-    type: const at::Tensor &
+    name: exponent
+    type: at::ArrayRef<at::Scalar>
   method_of:
   - Type
   - namespace
   mode: native
   python_module: ''
-  returns:
-  - dynamic_type: at::TensorList
-    name: result
-    type: ::std::vector<at::Tensor>
-  inplace: false
+  returns: []
+  inplace: true
   is_factory_method: false
   abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_norm
-  operator_name: _foreach_norm
-  overload_name: Scalar
+- name: _foreach_reciprocal
+  operator_name: _foreach_reciprocal
+  overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_norm.Scalar(Tensor[] self, Scalar ord=2) -> Tensor[]
+  schema_string: aten::_foreach_reciprocal(Tensor[] self) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  - annotation: null
-    default: 2
-    dynamic_type: const at::Scalar &
-    is_nullable: false
-    name: ord
-    type: const at::Scalar &
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, const at::Scalar &)
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  - annotation: null
-    default: 2
-    dynamic_type: const at::Scalar &
-    is_nullable: false
-    name: ord
-    type: const at::Scalar &
   method_of:
   - Type
   - namespace
@@ -111704,44 +118489,56 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_lerp
-  operator_name: _foreach_lerp
-  overload_name: List
+- name: _foreach_reciprocal_
+  operator_name: _foreach_reciprocal_
+  overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_lerp.List(Tensor[] self, Tensor[] tensors1, Tensor[] weights) -> Tensor[]
+  schema_string: aten::_foreach_reciprocal_(Tensor(a!)[] self) -> ()
   arguments:
-  - annotation: null
+  - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensors1
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: weights
-    type: at::TensorList
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList, at::TensorList)
+  schema_order_cpp_signature: void (at::TensorList)
   schema_order_arguments:
-  - annotation: null
+  - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: true
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foreach_round
+  operator_name: _foreach_round
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foreach_round(Tensor[] self) -> Tensor[]
+  arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensors1
+    name: self
     type: at::TensorList
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
+  schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: weights
+    name: self
     type: at::TensorList
   method_of:
   - Type
@@ -111759,44 +118556,91 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_lerp_
-  operator_name: _foreach_lerp_
-  overload_name: List
+- name: _foreach_round_
+  operator_name: _foreach_round_
+  overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_lerp_.List(Tensor(a!)[] self, Tensor[] tensors1, Tensor[] weights) -> ()
+  schema_string: aten::_foreach_round_(Tensor(a!)[] self) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  - annotation: null
+  schema_order_cpp_signature: void (at::TensorList)
+  schema_order_arguments:
+  - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensors1
+    name: self
     type: at::TensorList
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: true
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foreach_sigmoid
+  operator_name: _foreach_sigmoid
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foreach_sigmoid(Tensor[] self) -> Tensor[]
+  arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: weights
+    name: self
     type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList)
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
   schema_order_arguments:
-  - annotation: a!
+  - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  - annotation: null
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::TensorList
+    name: result
+    type: ::std::vector<at::Tensor>
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foreach_sigmoid_
+  operator_name: _foreach_sigmoid_
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foreach_sigmoid_(Tensor(a!)[] self) -> ()
+  arguments:
+  - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensors1
+    name: self
     type: at::TensorList
-  - annotation: null
+  schema_order_cpp_signature: void (at::TensorList)
+  schema_order_arguments:
+  - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
-    name: weights
+    name: self
     type: at::TensorList
   method_of:
   - Type
@@ -111811,45 +118655,25 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_lerp
-  operator_name: _foreach_lerp
-  overload_name: Scalar
+- name: _foreach_sign
+  operator_name: _foreach_sign
+  overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_lerp.Scalar(Tensor[] self, Tensor[] tensors1, Scalar weight) -> Tensor[]
+  schema_string: aten::_foreach_sign(Tensor[] self) -> Tensor[]
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensors1
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: const at::Scalar &
-    is_nullable: false
-    name: weight
-    type: const at::Scalar &
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList, const at::Scalar &)
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensors1
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: const at::Scalar &
-    is_nullable: false
-    name: weight
-    type: const at::Scalar &
   method_of:
   - Type
   - namespace
@@ -111866,45 +118690,25 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_lerp_
-  operator_name: _foreach_lerp_
-  overload_name: Scalar
+- name: _foreach_sign_
+  operator_name: _foreach_sign_
+  overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_lerp_.Scalar(Tensor(a!)[] self, Tensor[] tensors1, Scalar weight) -> ()
+  schema_string: aten::_foreach_sign_(Tensor(a!)[] self) -> ()
   arguments:
   - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensors1
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: const at::Scalar &
-    is_nullable: false
-    name: weight
-    type: const at::Scalar &
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, const at::Scalar &)
+  schema_order_cpp_signature: void (at::TensorList)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensors1
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: const at::Scalar &
-    is_nullable: false
-    name: weight
-    type: const at::Scalar &
   method_of:
   - Type
   - namespace
@@ -111918,72 +118722,34 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: bucketize
-  operator_name: bucketize
-  overload_name: Tensor
+- name: _foreach_sin
+  operator_name: _foreach_sin
+  overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::bucketize.Tensor(Tensor self, Tensor boundaries, *, bool out_int32=False, bool right=False) -> Tensor
+  schema_string: aten::_foreach_sin(Tensor[] self) -> Tensor[]
   arguments:
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: at::TensorList
     is_nullable: false
     name: self
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: boundaries
-    type: const at::Tensor &
-  - annotation: null
-    default: false
-    dynamic_type: bool
-    is_nullable: false
-    kwarg_only: true
-    name: out_int32
-    type: bool
-  - annotation: null
-    default: false
-    dynamic_type: bool
-    is_nullable: false
-    kwarg_only: true
-    name: right
-    type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, bool, bool)
+    type: at::TensorList
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
   schema_order_arguments:
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: at::TensorList
     is_nullable: false
     name: self
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: boundaries
-    type: const at::Tensor &
-  - annotation: null
-    default: false
-    dynamic_type: bool
-    is_nullable: false
-    kwarg_only: true
-    name: out_int32
-    type: bool
-  - annotation: null
-    default: false
-    dynamic_type: bool
-    is_nullable: false
-    kwarg_only: true
-    name: right
-    type: bool
+    type: at::TensorList
   method_of:
   - Type
   - namespace
   mode: native
   python_module: ''
   returns:
-  - dynamic_type: at::Tensor
+  - dynamic_type: at::TensorList
     name: result
-    type: at::Tensor
+    type: ::std::vector<at::Tensor>
   inplace: false
   is_factory_method: false
   abstract: true
@@ -111991,159 +118757,66 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: bucketize_out
-  operator_name: bucketize
-  overload_name: Tensor_out
+- name: _foreach_sin_
+  operator_name: _foreach_sin_
+  overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::bucketize.Tensor_out(Tensor self, Tensor boundaries, *, bool out_int32=False, bool right=False, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::_foreach_sin_(Tensor(a!)[] self) -> ()
   arguments:
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
+  - annotation: a!
+    dynamic_type: at::TensorList
     is_nullable: false
     name: self
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: boundaries
-    type: const at::Tensor &
-  - annotation: null
-    default: false
-    dynamic_type: bool
-    is_nullable: false
-    kwarg_only: true
-    name: out_int32
-    type: bool
-  - annotation: null
-    default: false
-    dynamic_type: bool
-    is_nullable: false
-    kwarg_only: true
-    name: right
-    type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, bool, bool, at::Tensor &)
+    type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList)
   schema_order_arguments:
-  - annotation: null
-    dynamic_type: at::Tensor
+  - annotation: a!
+    dynamic_type: at::TensorList
     is_nullable: false
     name: self
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: boundaries
-    type: const at::Tensor &
-  - annotation: null
-    default: false
-    dynamic_type: bool
-    is_nullable: false
-    kwarg_only: true
-    name: out_int32
-    type: bool
-  - annotation: null
-    default: false
-    dynamic_type: bool
-    is_nullable: false
-    kwarg_only: true
-    name: right
-    type: bool
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
+    type: at::TensorList
   method_of:
   - Type
   - namespace
   mode: native
   python_module: ''
-  returns:
-  - dynamic_type: at::Tensor
-    name: out
-    type: at::Tensor &
-  inplace: false
+  returns: []
+  inplace: true
   is_factory_method: false
   abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: bucketize
-  operator_name: bucketize
-  overload_name: Scalar
+- name: _foreach_sinh
+  operator_name: _foreach_sinh
+  overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::bucketize.Scalar(Scalar self, Tensor boundaries, *, bool out_int32=False, bool right=False) -> Tensor
+  schema_string: aten::_foreach_sinh(Tensor[] self) -> Tensor[]
   arguments:
   - annotation: null
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::TensorList
     is_nullable: false
     name: self
-    type: const at::Scalar &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: boundaries
-    type: const at::Tensor &
-  - annotation: null
-    default: false
-    dynamic_type: bool
-    is_nullable: false
-    kwarg_only: true
-    name: out_int32
-    type: bool
-  - annotation: null
-    default: false
-    dynamic_type: bool
-    is_nullable: false
-    kwarg_only: true
-    name: right
-    type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Scalar &, const at::Tensor &, bool, bool)
+    type: at::TensorList
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
   schema_order_arguments:
   - annotation: null
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::TensorList
     is_nullable: false
     name: self
-    type: const at::Scalar &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: boundaries
-    type: const at::Tensor &
-  - annotation: null
-    default: false
-    dynamic_type: bool
-    is_nullable: false
-    kwarg_only: true
-    name: out_int32
-    type: bool
-  - annotation: null
-    default: false
-    dynamic_type: bool
-    is_nullable: false
-    kwarg_only: true
-    name: right
-    type: bool
+    type: at::TensorList
   method_of:
   - Type
   - namespace
   mode: native
   python_module: ''
   returns:
-  - dynamic_type: at::Tensor
+  - dynamic_type: at::TensorList
     name: result
-    type: at::Tensor
+    type: ::std::vector<at::Tensor>
   inplace: false
   is_factory_method: false
   abstract: true
@@ -112151,26 +118824,470 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: searchsorted
-  operator_name: searchsorted
-  overload_name: Tensor
+- name: _foreach_sinh_
+  operator_name: _foreach_sinh_
+  overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::searchsorted.Tensor(Tensor sorted_sequence, Tensor self, *, bool out_int32=False, bool right=False, str? side=None, Tensor? sorter=None) -> Tensor
+  schema_string: aten::_foreach_sinh_(Tensor(a!)[] self) -> ()
   arguments:
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: sorted_sequence
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
+  - annotation: a!
+    dynamic_type: at::TensorList
     is_nullable: false
     name: self
-    type: const at::Tensor &
-  - annotation: null
-    default: false
-    dynamic_type: bool
+    type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList)
+  schema_order_arguments:
+  - annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: true
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foreach_sqrt
+  operator_name: _foreach_sqrt
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foreach_sqrt(Tensor[] self) -> Tensor[]
+  arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::TensorList
+    name: result
+    type: ::std::vector<at::Tensor>
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foreach_sqrt_
+  operator_name: _foreach_sqrt_
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foreach_sqrt_(Tensor(a!)[] self) -> ()
+  arguments:
+  - annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList)
+  schema_order_arguments:
+  - annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: true
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foreach_tan
+  operator_name: _foreach_tan
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foreach_tan(Tensor[] self) -> Tensor[]
+  arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::TensorList
+    name: result
+    type: ::std::vector<at::Tensor>
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foreach_tan_
+  operator_name: _foreach_tan_
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foreach_tan_(Tensor(a!)[] self) -> ()
+  arguments:
+  - annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList)
+  schema_order_arguments:
+  - annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: true
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foreach_tanh
+  operator_name: _foreach_tanh
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foreach_tanh(Tensor[] self) -> Tensor[]
+  arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::TensorList
+    name: result
+    type: ::std::vector<at::Tensor>
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foreach_tanh_
+  operator_name: _foreach_tanh_
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foreach_tanh_(Tensor(a!)[] self) -> ()
+  arguments:
+  - annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList)
+  schema_order_arguments:
+  - annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: true
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foreach_trunc
+  operator_name: _foreach_trunc
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foreach_trunc(Tensor[] self) -> Tensor[]
+  arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::TensorList
+    name: result
+    type: ::std::vector<at::Tensor>
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foreach_trunc_
+  operator_name: _foreach_trunc_
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foreach_trunc_(Tensor(a!)[] self) -> ()
+  arguments:
+  - annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList)
+  schema_order_arguments:
+  - annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: true
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foreach_zero_
+  operator_name: _foreach_zero_
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foreach_zero_(Tensor(a!)[] self) -> ()
+  arguments:
+  - annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList)
+  schema_order_arguments:
+  - annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: true
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foreach_copy_
+  operator_name: _foreach_copy_
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foreach_copy_(Tensor(a!)[] self, Tensor[] src, bool non_blocking=False) -> ()
+  arguments:
+  - annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: src
+    type: at::TensorList
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: non_blocking
+    type: bool
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, bool)
+  schema_order_arguments:
+  - annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: src
+    type: at::TensorList
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: non_blocking
+    type: bool
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: true
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foreach_copy
+  operator_name: _foreach_copy
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foreach_copy(Tensor[] self, Tensor[] src, bool non_blocking=False) -> Tensor[] self_out
+  arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: src
+    type: at::TensorList
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: non_blocking
+    type: bool
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList, at::TensorList, bool)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: src
+    type: at::TensorList
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: non_blocking
+    type: bool
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::TensorList
+    field_name: self_out
+    name: self_out
+    type: ::std::vector<at::Tensor>
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: bucketize
+  operator_name: bucketize
+  overload_name: Tensor
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::bucketize.Tensor(Tensor self, Tensor boundaries, *, bool out_int32=False, bool right=False) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: boundaries
+    type: const at::Tensor &
+  - annotation: null
+    default: false
+    dynamic_type: bool
     is_nullable: false
     kwarg_only: true
     name: out_int32
@@ -112182,21 +119299,254 @@
     kwarg_only: true
     name: right
     type: bool
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, bool, bool)
+  schema_order_arguments:
   - annotation: null
-    default: c10::nullopt
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: boundaries
+    type: const at::Tensor &
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: out_int32
+    type: bool
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: right
+    type: bool
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: bucketize_out
+  operator_name: bucketize
+  overload_name: Tensor_out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::bucketize.Tensor_out(Tensor self, Tensor boundaries, *, bool out_int32=False, bool right=False, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: boundaries
+    type: const at::Tensor &
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: out_int32
+    type: bool
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: right
+    type: bool
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, bool, bool, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: boundaries
+    type: const at::Tensor &
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: out_int32
+    type: bool
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: right
+    type: bool
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: bucketize
+  operator_name: bucketize
+  overload_name: Scalar
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::bucketize.Scalar(Scalar self, Tensor boundaries, *, bool out_int32=False, bool right=False) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: self
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: boundaries
+    type: const at::Tensor &
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: out_int32
+    type: bool
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: right
+    type: bool
+  schema_order_cpp_signature: at::Tensor (const at::Scalar &, const at::Tensor &, bool, bool)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: self
+    type: const at::Scalar &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: boundaries
+    type: const at::Tensor &
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: out_int32
+    type: bool
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: right
+    type: bool
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: searchsorted
+  operator_name: searchsorted
+  overload_name: Tensor
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::searchsorted.Tensor(Tensor sorted_sequence, Tensor self, *, bool out_int32=False, bool right=False, str? side=None, Tensor? sorter=None) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: sorted_sequence
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: out_int32
+    type: bool
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: right
+    type: bool
+  - annotation: null
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     kwarg_only: true
     name: side
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: sorter
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, bool, bool, c10::optional<c10::string_view>, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, bool, bool, ::std::optional<c10::string_view>, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -112223,19 +119573,19 @@
     name: right
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     kwarg_only: true
     name: side
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: sorter
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - namespace
@@ -112291,20 +119641,20 @@
     name: right
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     kwarg_only: true
     name: side
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: sorter
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, bool, bool, c10::optional<c10::string_view>, const c10::optional<at::Tensor> &, at::Tensor &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, bool, bool, ::std::optional<c10::string_view>, const ::std::optional<at::Tensor> &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -112331,19 +119681,19 @@
     name: right
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     kwarg_only: true
     name: side
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: sorter
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -112399,20 +119749,20 @@
     name: right
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     kwarg_only: true
     name: side
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: sorter
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Scalar &, bool, bool, c10::optional<c10::string_view>, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Scalar &, bool, bool, ::std::optional<c10::string_view>, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -112439,19 +119789,19 @@
     name: right
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     kwarg_only: true
     name: side
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: sorter
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - namespace
@@ -112468,6 +119818,121 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: searchsorted_out
+  operator_name: searchsorted
+  overload_name: Scalar_out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::searchsorted.Scalar_out(Tensor sorted_sequence, Scalar self, *, bool out_int32=False, bool right=False, str? side=None, Tensor? sorter=None, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: sorted_sequence
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: self
+    type: const at::Scalar &
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: out_int32
+    type: bool
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: right
+    type: bool
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: c10::string_view
+    is_nullable: true
+    kwarg_only: true
+    name: side
+    type: ::std::optional<c10::string_view>
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: sorter
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Scalar &, bool, bool, ::std::optional<c10::string_view>, const ::std::optional<at::Tensor> &, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: sorted_sequence
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: self
+    type: const at::Scalar &
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: out_int32
+    type: bool
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: right
+    type: bool
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: c10::string_view
+    is_nullable: true
+    kwarg_only: true
+    name: side
+    type: ::std::optional<c10::string_view>
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: sorter
+    type: const ::std::optional<at::Tensor> &
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: _convert_indices_from_coo_to_csr
   operator_name: _convert_indices_from_coo_to_csr
   overload_name: ''
@@ -113130,14 +120595,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
     is_nullable: false
     name: reduction
     type: int64_t
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Scalar &, const at::Scalar &, const c10::optional<at::Tensor> &, int64_t, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Scalar &, const at::Scalar &, const ::std::optional<at::Tensor> &, int64_t, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -113166,7 +120631,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
@@ -113230,14 +120695,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
     is_nullable: false
     name: reduction
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Scalar &, const at::Scalar &, const c10::optional<at::Tensor> &, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Scalar &, const at::Scalar &, const ::std::optional<at::Tensor> &, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -113266,7 +120731,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
@@ -113333,14 +120798,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
     is_nullable: false
     name: reduction
     type: int64_t
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Scalar &, const at::Scalar &, const c10::optional<at::Tensor> &, int64_t, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Scalar &, const at::Scalar &, const ::std::optional<at::Tensor> &, int64_t, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -113372,7 +120837,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
@@ -113439,14 +120904,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
     is_nullable: false
     name: reduction
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Scalar &, const at::Scalar &, const c10::optional<at::Tensor> &, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Scalar &, const at::Scalar &, const ::std::optional<at::Tensor> &, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -113478,7 +120943,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
@@ -113968,7 +121433,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
@@ -113981,7 +121446,7 @@
     is_nullable: false
     name: ignore_index
     type: int64_t
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, int64_t, int64_t, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, int64_t, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -113998,7 +121463,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
@@ -114056,7 +121521,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
@@ -114069,7 +121534,7 @@
     is_nullable: false
     name: ignore_index
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, int64_t, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -114086,7 +121551,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
@@ -114137,7 +121602,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
@@ -114150,7 +121615,7 @@
     is_nullable: false
     name: ignore_index
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, int64_t, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -114167,7 +121632,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
@@ -114231,7 +121696,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -114242,7 +121707,7 @@
     is_nullable: false
     name: ignore_index
     type: int64_t
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, int64_t, int64_t, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, int64_t, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -114258,7 +121723,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -114323,7 +121788,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -114334,7 +121799,7 @@
     is_nullable: false
     name: ignore_index
     type: int64_t
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, int64_t, int64_t)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -114350,7 +121815,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -114415,7 +121880,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -114431,7 +121896,7 @@
     is_nullable: false
     name: total_weight
     type: const at::Tensor &
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, int64_t, int64_t, const at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, int64_t, const at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -114452,7 +121917,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -114517,7 +121982,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -114533,7 +121998,7 @@
     is_nullable: false
     name: total_weight
     type: const at::Tensor &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, int64_t, int64_t, const at::Tensor &)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, int64_t, const at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -114554,7 +122019,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -114615,7 +122080,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
@@ -114628,7 +122093,7 @@
     is_nullable: false
     name: ignore_index
     type: int64_t
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, int64_t, int64_t, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, int64_t, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -114645,7 +122110,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
@@ -114703,7 +122168,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
@@ -114716,7 +122181,7 @@
     is_nullable: false
     name: ignore_index
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, int64_t, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -114733,7 +122198,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
@@ -114797,7 +122262,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -114808,7 +122273,7 @@
     is_nullable: false
     name: ignore_index
     type: int64_t
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, int64_t, int64_t, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, int64_t, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -114824,7 +122289,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -114889,7 +122354,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -114900,7 +122365,7 @@
     is_nullable: false
     name: ignore_index
     type: int64_t
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, int64_t, int64_t)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -114916,7 +122381,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -114981,7 +122446,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -114997,7 +122462,7 @@
     is_nullable: false
     name: total_weight
     type: const at::Tensor &
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, int64_t, int64_t, const at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, int64_t, const at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -115018,7 +122483,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -115083,7 +122548,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -115099,7 +122564,7 @@
     is_nullable: false
     name: total_weight
     type: const at::Tensor &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, int64_t, int64_t, const at::Tensor &)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, int64_t, const at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -115120,7 +122585,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -118227,12 +125692,12 @@
     name: training
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Scalar &, const at::Scalar &, bool, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Scalar &, const at::Scalar &, bool, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -118263,11 +125728,11 @@
     name: training
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -118327,12 +125792,12 @@
     name: training
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Scalar &, const at::Scalar &, bool, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Scalar &, const at::Scalar &, bool, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -118363,11 +125828,11 @@
     name: training
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - namespace
@@ -118515,12 +125980,12 @@
     name: training
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const at::Tensor &, const at::Scalar &, const at::Scalar &, bool, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, const at::Tensor &, const at::Scalar &, const at::Scalar &, bool, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::Tensor
@@ -118551,11 +126016,11 @@
     name: training
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - namespace
@@ -120248,12 +127713,12 @@
     name: count_include_pad
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: divisor_override
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, bool, c10::optional<int64_t>, at::Tensor &)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, bool, ::std::optional<int64_t>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -120293,11 +127758,11 @@
     name: count_include_pad
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: divisor_override
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -120366,12 +127831,12 @@
     name: count_include_pad
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: divisor_override
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, bool, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, bool, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -120411,11 +127876,11 @@
     name: count_include_pad
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: divisor_override
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - namespace
@@ -120488,8 +127953,8 @@
     dynamic_type: int64_t
     is_nullable: true
     name: divisor_override
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, bool, c10::optional<int64_t>, at::Tensor &)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, bool, ::std::optional<int64_t>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -120533,7 +127998,7 @@
     dynamic_type: int64_t
     is_nullable: true
     name: divisor_override
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -120606,8 +128071,8 @@
     dynamic_type: int64_t
     is_nullable: true
     name: divisor_override
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, bool, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, bool, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -120651,7 +128116,7 @@
     dynamic_type: int64_t
     is_nullable: true
     name: divisor_override
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - namespace
@@ -120720,12 +128185,12 @@
     name: count_include_pad
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: divisor_override
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, bool, c10::optional<int64_t>, at::Tensor &)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, bool, ::std::optional<int64_t>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -120765,11 +128230,11 @@
     name: count_include_pad
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: divisor_override
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -120838,12 +128303,12 @@
     name: count_include_pad
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: divisor_override
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, bool, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, bool, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -120883,11 +128348,11 @@
     name: count_include_pad
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: divisor_override
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - namespace
@@ -120960,8 +128425,8 @@
     dynamic_type: int64_t
     is_nullable: true
     name: divisor_override
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, bool, c10::optional<int64_t>, at::Tensor &)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, bool, ::std::optional<int64_t>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -121005,7 +128470,7 @@
     dynamic_type: int64_t
     is_nullable: true
     name: divisor_override
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -121078,8 +128543,8 @@
     dynamic_type: int64_t
     is_nullable: true
     name: divisor_override
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, bool, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, bool, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -121123,7 +128588,7 @@
     dynamic_type: int64_t
     is_nullable: true
     name: divisor_override
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - namespace
@@ -122785,7 +130250,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::max_unpool2d.out(Tensor self, Tensor indices, int[2] output_size, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::max_unpool2d.out(Tensor self, Tensor indices, SymInt[2] output_size, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -122856,7 +130321,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::max_unpool2d(Tensor self, Tensor indices, int[2] output_size) -> Tensor
+  schema_string: aten::max_unpool2d(Tensor self, Tensor indices, SymInt[2] output_size) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -122913,7 +130378,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::max_unpool3d.out(Tensor self, Tensor indices, int[3] output_size, int[3] stride, int[3] padding, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::max_unpool3d.out(Tensor self, Tensor indices, SymInt[3] output_size, int[3] stride, int[3] padding, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -123008,7 +130473,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::max_unpool3d(Tensor self, Tensor indices, int[3] output_size, int[3] stride, int[3] padding) -> Tensor
+  schema_string: aten::max_unpool3d(Tensor self, Tensor indices, SymInt[3] output_size, int[3] stride, int[3] padding) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -124568,12 +132033,12 @@
     name: mode
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: value
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, int64_t, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, int64_t, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -124591,11 +132056,11 @@
     name: mode
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: value
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -124636,12 +132101,12 @@
     name: mode
     type: c10::string_view
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: value
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, c10::string_view, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, c10::string_view, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -124660,11 +132125,11 @@
     name: mode
     type: c10::string_view
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: value
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -124707,8 +132172,8 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: scale_factors
-    type: c10::optional<at::ArrayRef<double>>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, bool, c10::optional<at::ArrayRef<double>>)
+    type: ::std::optional<at::ArrayRef<double>>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, bool, ::std::optional<at::ArrayRef<double>>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -124729,7 +132194,7 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: scale_factors
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   method_of:
   - Type
   - namespace
@@ -124772,8 +132237,8 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: scale_factors
-    type: c10::optional<at::ArrayRef<double>>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, bool, c10::optional<at::ArrayRef<double>>)
+    type: ::std::optional<at::ArrayRef<double>>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, bool, ::std::optional<at::ArrayRef<double>>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -124794,7 +132259,7 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: scale_factors
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   method_of:
   - Type
   - namespace
@@ -124837,8 +132302,8 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: scale_factors
-    type: c10::optional<at::ArrayRef<double>>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, bool, c10::optional<at::ArrayRef<double>>)
+    type: ::std::optional<at::ArrayRef<double>>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, bool, ::std::optional<at::ArrayRef<double>>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -124859,7 +132324,7 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: scale_factors
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   method_of:
   - Type
   - namespace
@@ -124902,8 +132367,8 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: scale_factors
-    type: c10::optional<at::ArrayRef<double>>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, bool, c10::optional<at::ArrayRef<double>>)
+    type: ::std::optional<at::ArrayRef<double>>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, bool, ::std::optional<at::ArrayRef<double>>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -124924,7 +132389,7 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: scale_factors
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   method_of:
   - Type
   - namespace
@@ -124967,8 +132432,8 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: scale_factors
-    type: c10::optional<at::ArrayRef<double>>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, bool, c10::optional<at::ArrayRef<double>>)
+    type: ::std::optional<at::ArrayRef<double>>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, bool, ::std::optional<at::ArrayRef<double>>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -124989,7 +132454,7 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: scale_factors
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   method_of:
   - Type
   - namespace
@@ -125032,8 +132497,8 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: scale_factors
-    type: c10::optional<at::ArrayRef<double>>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, bool, c10::optional<at::ArrayRef<double>>)
+    type: ::std::optional<at::ArrayRef<double>>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, bool, ::std::optional<at::ArrayRef<double>>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -125054,7 +132519,7 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: scale_factors
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   method_of:
   - Type
   - namespace
@@ -125092,8 +132557,8 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: scale_factors
-    type: c10::optional<at::ArrayRef<double>>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, c10::optional<at::ArrayRef<double>>)
+    type: ::std::optional<at::ArrayRef<double>>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, ::std::optional<at::ArrayRef<double>>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -125109,7 +132574,7 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: scale_factors
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   method_of:
   - Type
   - namespace
@@ -125147,8 +132612,8 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: scale_factors
-    type: c10::optional<at::ArrayRef<double>>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, c10::optional<at::ArrayRef<double>>)
+    type: ::std::optional<at::ArrayRef<double>>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, ::std::optional<at::ArrayRef<double>>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -125164,7 +132629,7 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: scale_factors
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   method_of:
   - Type
   - namespace
@@ -125202,8 +132667,8 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: scale_factors
-    type: c10::optional<at::ArrayRef<double>>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, c10::optional<at::ArrayRef<double>>)
+    type: ::std::optional<at::ArrayRef<double>>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, ::std::optional<at::ArrayRef<double>>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -125219,7 +132684,7 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: scale_factors
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   method_of:
   - Type
   - namespace
@@ -125257,8 +132722,8 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: scale_factors
-    type: c10::optional<at::ArrayRef<double>>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, c10::optional<at::ArrayRef<double>>)
+    type: ::std::optional<at::ArrayRef<double>>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, ::std::optional<at::ArrayRef<double>>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -125274,7 +132739,7 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: scale_factors
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   method_of:
   - Type
   - namespace
@@ -125312,8 +132777,8 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: scale_factors
-    type: c10::optional<at::ArrayRef<double>>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, c10::optional<at::ArrayRef<double>>)
+    type: ::std::optional<at::ArrayRef<double>>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, ::std::optional<at::ArrayRef<double>>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -125329,7 +132794,7 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: scale_factors
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   method_of:
   - Type
   - namespace
@@ -125367,8 +132832,8 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: scale_factors
-    type: c10::optional<at::ArrayRef<double>>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, c10::optional<at::ArrayRef<double>>)
+    type: ::std::optional<at::ArrayRef<double>>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, ::std::optional<at::ArrayRef<double>>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -125384,7 +132849,7 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: scale_factors
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   method_of:
   - Type
   - namespace
@@ -125432,12 +132897,12 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, bool, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, bool, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -125456,11 +132921,11 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -125508,12 +132973,12 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, bool, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, bool, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -125532,11 +132997,11 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -125590,12 +133055,12 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, bool, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, bool, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -125620,11 +133085,11 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -125678,12 +133143,12 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, bool, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, bool, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -125708,11 +133173,11 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -125760,18 +133225,18 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, bool, c10::optional<double>, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, bool, ::std::optional<double>, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -125790,17 +133255,17 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -125848,18 +133313,18 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, bool, c10::optional<double>, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, bool, ::std::optional<double>, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -125878,17 +133343,17 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -125942,18 +133407,18 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, bool, c10::optional<double>, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, bool, ::std::optional<double>, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -125978,17 +133443,17 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -126042,18 +133507,18 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, bool, c10::optional<double>, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, bool, ::std::optional<double>, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -126078,17 +133543,17 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -126136,18 +133601,18 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, bool, c10::optional<double>, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, bool, ::std::optional<double>, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -126166,17 +133631,17 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -126224,18 +133689,18 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, bool, c10::optional<double>, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, bool, ::std::optional<double>, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -126254,17 +133719,17 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -126318,18 +133783,18 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, bool, c10::optional<double>, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, bool, ::std::optional<double>, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -126354,17 +133819,17 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -126418,18 +133883,18 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, bool, c10::optional<double>, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, bool, ::std::optional<double>, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -126454,17 +133919,17 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -126512,18 +133977,18 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, bool, c10::optional<double>, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, bool, ::std::optional<double>, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -126542,17 +134007,17 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -126600,18 +134065,18 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, bool, c10::optional<double>, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, bool, ::std::optional<double>, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -126630,17 +134095,17 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -126694,18 +134159,18 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, bool, c10::optional<double>, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, bool, ::std::optional<double>, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -126730,17 +134195,17 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -126794,18 +134259,18 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, bool, c10::optional<double>, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, bool, ::std::optional<double>, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -126830,17 +134295,17 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -126888,18 +134353,18 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, bool, c10::optional<double>, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, bool, ::std::optional<double>, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -126918,17 +134383,17 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -126976,18 +134441,18 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, bool, c10::optional<double>, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, bool, ::std::optional<double>, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -127006,17 +134471,17 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -127070,18 +134535,18 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, bool, c10::optional<double>, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, bool, ::std::optional<double>, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -127106,17 +134571,17 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -127170,18 +134635,18 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, bool, c10::optional<double>, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, bool, ::std::optional<double>, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -127206,17 +134671,17 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -127264,24 +134729,24 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_d
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, bool, c10::optional<double>, c10::optional<double>, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, bool, ::std::optional<double>, ::std::optional<double>, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -127300,23 +134765,23 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_d
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -127364,24 +134829,24 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_d
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, bool, c10::optional<double>, c10::optional<double>, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, bool, ::std::optional<double>, ::std::optional<double>, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -127400,23 +134865,23 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_d
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -127470,24 +134935,24 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_d
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, bool, c10::optional<double>, c10::optional<double>, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, bool, ::std::optional<double>, ::std::optional<double>, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -127512,23 +134977,23 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_d
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -127582,24 +135047,24 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_d
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, bool, c10::optional<double>, c10::optional<double>, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, bool, ::std::optional<double>, ::std::optional<double>, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -127624,23 +135089,23 @@
     name: align_corners
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_d
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -127683,12 +135148,12 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -127702,11 +135167,11 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -127756,12 +135221,12 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -127775,11 +135240,11 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -127822,12 +135287,12 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -127841,11 +135306,11 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -127881,12 +135346,12 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -127900,11 +135365,11 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -127953,12 +135418,12 @@
     size: 3
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -127978,11 +135443,11 @@
     size: 3
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -128038,12 +135503,12 @@
     size: 3
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -128063,11 +135528,11 @@
     size: 3
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -128116,12 +135581,12 @@
     size: 3
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -128141,11 +135606,11 @@
     size: 3
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -128187,12 +135652,12 @@
     size: 3
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -128212,11 +135677,11 @@
     size: 3
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -128259,18 +135724,18 @@
     size: 2
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, c10::optional<double>, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, ::std::optional<double>, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -128284,17 +135749,17 @@
     size: 2
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -128344,18 +135809,18 @@
     size: 2
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, c10::optional<double>, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, ::std::optional<double>, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -128369,17 +135834,17 @@
     size: 2
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -128422,18 +135887,18 @@
     size: 2
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, c10::optional<double>, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, ::std::optional<double>, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -128447,17 +135912,17 @@
     size: 2
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -128493,18 +135958,18 @@
     size: 2
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, c10::optional<double>, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, ::std::optional<double>, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -128518,17 +135983,17 @@
     size: 2
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -128577,18 +136042,18 @@
     size: 4
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, c10::optional<double>, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, ::std::optional<double>, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -128608,17 +136073,17 @@
     size: 4
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -128674,18 +136139,18 @@
     size: 4
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, c10::optional<double>, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, ::std::optional<double>, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -128705,17 +136170,17 @@
     size: 4
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -128764,18 +136229,18 @@
     size: 4
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, c10::optional<double>, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, ::std::optional<double>, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -128795,17 +136260,17 @@
     size: 4
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -128847,18 +136312,18 @@
     size: 4
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, c10::optional<double>, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, ::std::optional<double>, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -128878,17 +136343,17 @@
     size: 4
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -128931,24 +136396,24 @@
     size: 3
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_d
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, c10::optional<double>, c10::optional<double>, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, ::std::optional<double>, ::std::optional<double>, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -128962,23 +136427,23 @@
     size: 3
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_d
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -129028,24 +136493,24 @@
     size: 3
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_d
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, c10::optional<double>, c10::optional<double>, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, ::std::optional<double>, ::std::optional<double>, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -129059,23 +136524,23 @@
     size: 3
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_d
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -129118,24 +136583,24 @@
     size: 3
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_d
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, c10::optional<double>, c10::optional<double>, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, ::std::optional<double>, ::std::optional<double>, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -129149,23 +136614,23 @@
     size: 3
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_d
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -129201,24 +136666,24 @@
     size: 3
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_d
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, c10::optional<double>, c10::optional<double>, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, ::std::optional<double>, ::std::optional<double>, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -129232,23 +136697,23 @@
     size: 3
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_d
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -129297,24 +136762,24 @@
     size: 5
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_d
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, c10::optional<double>, c10::optional<double>, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, ::std::optional<double>, ::std::optional<double>, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -129334,23 +136799,23 @@
     size: 5
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_d
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -129406,24 +136871,24 @@
     size: 5
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_d
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, c10::optional<double>, c10::optional<double>, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, ::std::optional<double>, ::std::optional<double>, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -129443,23 +136908,23 @@
     size: 5
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_d
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -129508,24 +136973,24 @@
     size: 5
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_d
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, c10::optional<double>, c10::optional<double>, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, ::std::optional<double>, ::std::optional<double>, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -129545,23 +137010,23 @@
     size: 5
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_d
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -129603,24 +137068,24 @@
     size: 5
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_d
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, c10::optional<double>, c10::optional<double>, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, ::std::optional<double>, ::std::optional<double>, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -129640,23 +137105,23 @@
     size: 5
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_d
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_h
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: scales_w
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -129802,12 +137267,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: eps
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -129820,11 +137285,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: eps
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -129866,12 +137331,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: eps
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -129884,11 +137349,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: eps
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -130014,7 +137479,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::slow_conv_transpose2d.out(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias=None, int[2] stride=1, SymInt[2] padding=0, SymInt[2] output_padding=0, int[2] dilation=1, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::slow_conv_transpose2d.out(Tensor self, Tensor weight, SymInt[2] kernel_size, Tensor? bias=None, SymInt[2] stride=1, SymInt[2] padding=0, SymInt[2] output_padding=0, SymInt[2] dilation=1, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -130044,7 +137509,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -130073,7 +137538,7 @@
     name: dilation
     size: 2
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -130096,7 +137561,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -130153,7 +137618,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::slow_conv_transpose2d(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias=None, int[2] stride=1, SymInt[2] padding=0, SymInt[2] output_padding=0, int[2] dilation=1) -> Tensor
+  schema_string: aten::slow_conv_transpose2d(Tensor self, Tensor weight, SymInt[2] kernel_size, Tensor? bias=None, SymInt[2] stride=1, SymInt[2] padding=0, SymInt[2] output_padding=0, SymInt[2] dilation=1) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -130176,7 +137641,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -130205,7 +137670,7 @@
     name: dilation
     size: 2
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -130228,7 +137693,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -130278,7 +137743,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::slow_conv_transpose3d.out(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias=None, int[3] stride=1, SymInt[3] padding=0, SymInt[3] output_padding=0, int[3] dilation=1, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::slow_conv_transpose3d.out(Tensor self, Tensor weight, SymInt[3] kernel_size, Tensor? bias=None, SymInt[3] stride=1, SymInt[3] padding=0, SymInt[3] output_padding=0, SymInt[3] dilation=1, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -130308,7 +137773,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -130337,7 +137802,7 @@
     name: dilation
     size: 3
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -130360,7 +137825,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -130417,7 +137882,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::slow_conv_transpose3d(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias=None, int[3] stride=1, SymInt[3] padding=0, SymInt[3] output_padding=0, int[3] dilation=1) -> Tensor
+  schema_string: aten::slow_conv_transpose3d(Tensor self, Tensor weight, SymInt[3] kernel_size, Tensor? bias=None, SymInt[3] stride=1, SymInt[3] padding=0, SymInt[3] output_padding=0, SymInt[3] dilation=1) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -130440,7 +137905,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -130469,7 +137934,7 @@
     name: dilation
     size: 3
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -130492,7 +137957,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -130542,7 +138007,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::thnn_conv2d.out(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias=None, int[2] stride=1, int[2] padding=0, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::thnn_conv2d.out(Tensor self, Tensor weight, SymInt[2] kernel_size, Tensor? bias=None, SymInt[2] stride=1, SymInt[2] padding=0, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -130572,7 +138037,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -130587,7 +138052,7 @@
     name: padding
     size: 2
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -130610,7 +138075,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -130653,7 +138118,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::thnn_conv2d(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias=None, int[2] stride=1, int[2] padding=0) -> Tensor
+  schema_string: aten::thnn_conv2d(Tensor self, Tensor weight, SymInt[2] kernel_size, Tensor? bias=None, SymInt[2] stride=1, SymInt[2] padding=0) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -130676,7 +138141,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -130691,7 +138156,7 @@
     name: padding
     size: 2
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -130714,7 +138179,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -130750,7 +138215,7 @@
   overload_name: output
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_slow_conv2d_forward.output(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias, int[2] stride, int[2] padding, *, Tensor(a!) output) -> Tensor(a!)
+  schema_string: aten::_slow_conv2d_forward.output(Tensor self, Tensor weight, SymInt[2] kernel_size, Tensor? bias, SymInt[2] stride, SymInt[2] padding, *, Tensor(a!) output) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -130779,7 +138244,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -130792,7 +138257,7 @@
     name: padding
     size: 2
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -130814,7 +138279,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -130855,7 +138320,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_slow_conv2d_forward(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias, int[2] stride, int[2] padding) -> Tensor
+  schema_string: aten::_slow_conv2d_forward(Tensor self, Tensor weight, SymInt[2] kernel_size, Tensor? bias, SymInt[2] stride, SymInt[2] padding) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -130877,7 +138342,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -130890,7 +138355,7 @@
     name: padding
     size: 2
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -130912,7 +138377,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -130946,7 +138411,7 @@
   overload_name: grad_input
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_slow_conv2d_backward.grad_input(Tensor grad_output, Tensor self, Tensor weight, int[2] kernel_size, int[2] stride, int[2] padding, *, Tensor(a!) grad_input, Tensor(b!) grad_weight, Tensor(c!) grad_bias) -> (Tensor(a!), Tensor(b!), Tensor(c!))
+  schema_string: aten::_slow_conv2d_backward.grad_input(Tensor grad_output, Tensor self, Tensor weight, SymInt[2] kernel_size, SymInt[2] stride, SymInt[2] padding, *, Tensor(a!) grad_input, Tensor(b!) grad_weight, Tensor(c!) grad_bias) -> (Tensor(a!), Tensor(b!), Tensor(c!))
   arguments:
   - allocate: true
     annotation: a!
@@ -131085,7 +138550,7 @@
   overload_name: output_mask
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_slow_conv2d_backward.output_mask(Tensor grad_output, Tensor self, Tensor weight, int[2] kernel_size, int[2] stride, int[2] padding, bool[3] output_mask) -> (Tensor grad_input, Tensor grad_weight, Tensor grad_bias)
+  schema_string: aten::_slow_conv2d_backward.output_mask(Tensor grad_output, Tensor self, Tensor weight, SymInt[2] kernel_size, SymInt[2] stride, SymInt[2] padding, bool[3] output_mask) -> (Tensor grad_input, Tensor grad_weight, Tensor grad_bias)
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -131195,7 +138660,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_conv_depthwise2d.out(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias, int[2] stride, SymInt[2] padding, int[2] dilation, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::_conv_depthwise2d.out(Tensor self, Tensor weight, SymInt[2] kernel_size, Tensor? bias, SymInt[2] stride, SymInt[2] padding, SymInt[2] dilation, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -131224,7 +138689,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -131243,7 +138708,7 @@
     name: dilation
     size: 2
     type: at::IntArrayRef
-  schema_order_cpp_signature: const at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, const at::Tensor &)
+  schema_order_cpp_signature: const at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, const at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -131265,7 +138730,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -131312,7 +138777,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_conv_depthwise2d(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias, int[2] stride, SymInt[2] padding, int[2] dilation) -> Tensor
+  schema_string: aten::_conv_depthwise2d(Tensor self, Tensor weight, SymInt[2] kernel_size, Tensor? bias, SymInt[2] stride, SymInt[2] padding, SymInt[2] dilation) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -131334,7 +138799,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -131353,7 +138818,7 @@
     name: dilation
     size: 2
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -131375,7 +138840,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -131415,7 +138880,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::conv_depthwise3d(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias, int[3] stride, SymInt[3] padding, int[3] dilation) -> Tensor
+  schema_string: aten::conv_depthwise3d(Tensor self, Tensor weight, SymInt[3] kernel_size, Tensor? bias, SymInt[3] stride, SymInt[3] padding, SymInt[3] dilation) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -131437,7 +138902,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -131456,7 +138921,7 @@
     name: dilation
     size: 3
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -131478,7 +138943,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -131518,7 +138983,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::slow_conv3d.out(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias=None, int[3] stride=1, SymInt[3] padding=0, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::slow_conv3d.out(Tensor self, Tensor weight, SymInt[3] kernel_size, Tensor? bias=None, SymInt[3] stride=1, SymInt[3] padding=0, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -131548,7 +139013,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -131563,7 +139028,7 @@
     name: padding
     size: 3
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -131586,7 +139051,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -131629,7 +139094,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::slow_conv3d(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias=None, int[3] stride=1, SymInt[3] padding=0) -> Tensor
+  schema_string: aten::slow_conv3d(Tensor self, Tensor weight, SymInt[3] kernel_size, Tensor? bias=None, SymInt[3] stride=1, SymInt[3] padding=0) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -131652,7 +139117,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -131667,7 +139132,7 @@
     name: padding
     size: 3
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -131690,7 +139155,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -131726,7 +139191,7 @@
   overload_name: output
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::slow_conv3d_forward.output(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias, int[3] stride, SymInt[3] padding, *, Tensor(a!) output) -> Tensor(a!)
+  schema_string: aten::slow_conv3d_forward.output(Tensor self, Tensor weight, SymInt[3] kernel_size, Tensor? bias, SymInt[3] stride, SymInt[3] padding, *, Tensor(a!) output) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -131755,7 +139220,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -131768,7 +139233,7 @@
     name: padding
     size: 3
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -131790,7 +139255,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -131831,7 +139296,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::slow_conv3d_forward(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias, int[3] stride, SymInt[3] padding) -> Tensor
+  schema_string: aten::slow_conv3d_forward(Tensor self, Tensor weight, SymInt[3] kernel_size, Tensor? bias, SymInt[3] stride, SymInt[3] padding) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -131853,7 +139318,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -131866,7 +139331,7 @@
     name: padding
     size: 3
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -131888,7 +139353,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -131922,7 +139387,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::slow_conv_dilated2d(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias=None, int[2] stride=1, SymInt[2] padding=0, int[2] dilation=1) -> Tensor
+  schema_string: aten::slow_conv_dilated2d(Tensor self, Tensor weight, SymInt[2] kernel_size, Tensor? bias=None, SymInt[2] stride=1, SymInt[2] padding=0, SymInt[2] dilation=1) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -131945,7 +139410,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -131967,7 +139432,7 @@
     name: dilation
     size: 2
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -131990,7 +139455,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -132033,7 +139498,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::slow_conv_dilated3d(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias=None, int[3] stride=1, SymInt[3] padding=0, int[3] dilation=1) -> Tensor
+  schema_string: aten::slow_conv_dilated3d(Tensor self, Tensor weight, SymInt[3] kernel_size, Tensor? bias=None, SymInt[3] stride=1, SymInt[3] padding=0, SymInt[3] dilation=1) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -132056,7 +139521,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -132078,7 +139543,7 @@
     name: dilation
     size: 3
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -132101,7 +139566,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -135388,12 +142853,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: eps
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<double>)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -135401,11 +142866,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: eps
-    type: c10::optional<double>
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -135442,12 +142907,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: eps
-    type: c10::optional<double>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<double>, at::Tensor &)
+    type: ::std::optional<double>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<double>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -135455,11 +142920,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: eps
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -136101,13 +143566,13 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -136120,12 +143585,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - namespace
@@ -136472,12 +143937,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -136490,11 +143955,11 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - namespace
@@ -136516,7 +143981,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_fft(Tensor self, int? n=None, int dim=-1, str? norm=None) -> Tensor
+  schema_string: aten::fft_fft(Tensor self, SymInt? n=None, int dim=-1, str? norm=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -136524,11 +143989,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: n
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -136536,12 +144001,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<int64_t>, int64_t, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<int64_t>, int64_t, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -136549,11 +144014,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: n
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -136561,11 +144026,11 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - namespace
@@ -136587,7 +144052,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_fft.out(Tensor self, int? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::fft_fft.out(Tensor self, SymInt? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -136602,11 +144067,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: n
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -136614,12 +144079,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<int64_t>, int64_t, c10::optional<c10::string_view>, at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<int64_t>, int64_t, ::std::optional<c10::string_view>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -136627,11 +144092,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: n
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -136639,11 +144104,11 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -136672,7 +144137,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_ifft(Tensor self, int? n=None, int dim=-1, str? norm=None) -> Tensor
+  schema_string: aten::fft_ifft(Tensor self, SymInt? n=None, int dim=-1, str? norm=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -136680,11 +144145,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: n
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -136692,12 +144157,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<int64_t>, int64_t, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<int64_t>, int64_t, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -136705,11 +144170,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: n
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -136717,11 +144182,11 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - namespace
@@ -136743,7 +144208,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_ifft.out(Tensor self, int? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::fft_ifft.out(Tensor self, SymInt? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -136758,11 +144223,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: n
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -136770,12 +144235,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<int64_t>, int64_t, c10::optional<c10::string_view>, at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<int64_t>, int64_t, ::std::optional<c10::string_view>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -136783,11 +144248,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: n
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -136795,11 +144260,11 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -136828,7 +144293,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_rfft(Tensor self, int? n=None, int dim=-1, str? norm=None) -> Tensor
+  schema_string: aten::fft_rfft(Tensor self, SymInt? n=None, int dim=-1, str? norm=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -136836,11 +144301,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: n
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -136848,12 +144313,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<int64_t>, int64_t, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<int64_t>, int64_t, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -136861,11 +144326,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: n
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -136873,11 +144338,11 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - namespace
@@ -136899,7 +144364,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_rfft.out(Tensor self, int? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::fft_rfft.out(Tensor self, SymInt? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -136914,11 +144379,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: n
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -136926,12 +144391,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<int64_t>, int64_t, c10::optional<c10::string_view>, at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<int64_t>, int64_t, ::std::optional<c10::string_view>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -136939,11 +144404,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: n
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -136951,11 +144416,11 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -136984,7 +144449,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_irfft(Tensor self, int? n=None, int dim=-1, str? norm=None) -> Tensor
+  schema_string: aten::fft_irfft(Tensor self, SymInt? n=None, int dim=-1, str? norm=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -136992,11 +144457,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: n
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -137004,12 +144469,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<int64_t>, int64_t, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<int64_t>, int64_t, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -137017,11 +144482,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: n
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -137029,11 +144494,11 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - namespace
@@ -137055,7 +144520,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_irfft.out(Tensor self, int? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::fft_irfft.out(Tensor self, SymInt? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -137070,11 +144535,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: n
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -137082,12 +144547,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<int64_t>, int64_t, c10::optional<c10::string_view>, at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<int64_t>, int64_t, ::std::optional<c10::string_view>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -137095,11 +144560,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: n
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -137107,11 +144572,11 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -137140,7 +144605,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_hfft(Tensor self, int? n=None, int dim=-1, str? norm=None) -> Tensor
+  schema_string: aten::fft_hfft(Tensor self, SymInt? n=None, int dim=-1, str? norm=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -137148,11 +144613,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: n
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -137160,12 +144625,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<int64_t>, int64_t, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<int64_t>, int64_t, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -137173,11 +144638,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: n
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -137185,11 +144650,11 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - namespace
@@ -137211,7 +144676,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_hfft.out(Tensor self, int? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::fft_hfft.out(Tensor self, SymInt? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -137226,11 +144691,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: n
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -137238,12 +144703,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<int64_t>, int64_t, c10::optional<c10::string_view>, at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<int64_t>, int64_t, ::std::optional<c10::string_view>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -137251,11 +144716,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: n
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -137263,11 +144728,11 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -137296,7 +144761,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_ihfft(Tensor self, int? n=None, int dim=-1, str? norm=None) -> Tensor
+  schema_string: aten::fft_ihfft(Tensor self, SymInt? n=None, int dim=-1, str? norm=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -137304,11 +144769,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: n
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -137316,12 +144781,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<int64_t>, int64_t, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<int64_t>, int64_t, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -137329,11 +144794,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: n
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -137341,11 +144806,11 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - namespace
@@ -137367,7 +144832,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_ihfft.out(Tensor self, int? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::fft_ihfft.out(Tensor self, SymInt? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -137382,11 +144847,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: n
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -137394,12 +144859,12 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<int64_t>, int64_t, c10::optional<c10::string_view>, at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<int64_t>, int64_t, ::std::optional<c10::string_view>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -137407,11 +144872,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: n
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -137419,11 +144884,11 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -137452,7 +144917,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_fft2(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None) -> Tensor
+  schema_string: aten::fft_fft2(Tensor self, SymInt[1]? s=None, int[1] dim=[-2,-1], str? norm=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -137460,7 +144925,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
@@ -137474,12 +144939,12 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, at::IntArrayRef, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, at::IntArrayRef, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -137487,7 +144952,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
@@ -137501,11 +144966,11 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - namespace
@@ -137527,7 +144992,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_fft2.out(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::fft_fft2.out(Tensor self, SymInt[1]? s=None, int[1] dim=[-2,-1], str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -137542,7 +145007,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
@@ -137556,12 +145021,12 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::IntArrayRef, c10::optional<c10::string_view>, at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::IntArrayRef, ::std::optional<c10::string_view>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -137569,7 +145034,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
@@ -137583,11 +145048,11 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -137616,7 +145081,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_ifft2(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None) -> Tensor
+  schema_string: aten::fft_ifft2(Tensor self, SymInt[1]? s=None, int[1] dim=[-2,-1], str? norm=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -137624,7 +145089,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
@@ -137638,12 +145103,12 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, at::IntArrayRef, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, at::IntArrayRef, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -137651,7 +145116,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
@@ -137665,11 +145130,11 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - namespace
@@ -137691,7 +145156,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_ifft2.out(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::fft_ifft2.out(Tensor self, SymInt[1]? s=None, int[1] dim=[-2,-1], str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -137706,7 +145171,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
@@ -137720,12 +145185,12 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::IntArrayRef, c10::optional<c10::string_view>, at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::IntArrayRef, ::std::optional<c10::string_view>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -137733,7 +145198,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
@@ -137747,11 +145212,11 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -137780,7 +145245,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_rfft2(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None) -> Tensor
+  schema_string: aten::fft_rfft2(Tensor self, SymInt[1]? s=None, int[1] dim=[-2,-1], str? norm=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -137788,7 +145253,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
@@ -137802,12 +145267,12 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, at::IntArrayRef, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, at::IntArrayRef, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -137815,7 +145280,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
@@ -137829,11 +145294,11 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - namespace
@@ -137855,7 +145320,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_rfft2.out(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::fft_rfft2.out(Tensor self, SymInt[1]? s=None, int[1] dim=[-2,-1], str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -137870,7 +145335,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
@@ -137884,12 +145349,12 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::IntArrayRef, c10::optional<c10::string_view>, at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::IntArrayRef, ::std::optional<c10::string_view>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -137897,7 +145362,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
@@ -137911,11 +145376,11 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -137944,7 +145409,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_irfft2(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None) -> Tensor
+  schema_string: aten::fft_irfft2(Tensor self, SymInt[1]? s=None, int[1] dim=[-2,-1], str? norm=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -137952,7 +145417,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
@@ -137966,12 +145431,12 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, at::IntArrayRef, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, at::IntArrayRef, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -137979,7 +145444,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
@@ -137993,11 +145458,11 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - namespace
@@ -138019,7 +145484,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_irfft2.out(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::fft_irfft2.out(Tensor self, SymInt[1]? s=None, int[1] dim=[-2,-1], str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -138034,7 +145499,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
@@ -138048,12 +145513,12 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::IntArrayRef, c10::optional<c10::string_view>, at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::IntArrayRef, ::std::optional<c10::string_view>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -138061,7 +145526,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
@@ -138075,11 +145540,11 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -138108,7 +145573,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_hfft2(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None) -> Tensor
+  schema_string: aten::fft_hfft2(Tensor self, SymInt[1]? s=None, int[1] dim=[-2,-1], str? norm=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -138116,7 +145581,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
@@ -138130,12 +145595,12 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, at::IntArrayRef, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, at::IntArrayRef, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -138143,7 +145608,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
@@ -138157,11 +145622,11 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - namespace
@@ -138183,7 +145648,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_hfft2.out(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::fft_hfft2.out(Tensor self, SymInt[1]? s=None, int[1] dim=[-2,-1], str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -138198,7 +145663,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
@@ -138212,12 +145677,12 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: const at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::IntArrayRef, c10::optional<c10::string_view>, const at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: const at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::IntArrayRef, ::std::optional<c10::string_view>, const at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -138225,7 +145690,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
@@ -138239,11 +145704,11 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -138272,7 +145737,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_ihfft2(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None) -> Tensor
+  schema_string: aten::fft_ihfft2(Tensor self, SymInt[1]? s=None, int[1] dim=[-2,-1], str? norm=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -138280,7 +145745,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
@@ -138294,12 +145759,12 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, at::IntArrayRef, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, at::IntArrayRef, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -138307,7 +145772,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
@@ -138321,11 +145786,11 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - namespace
@@ -138347,7 +145812,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_ihfft2.out(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::fft_ihfft2.out(Tensor self, SymInt[1]? s=None, int[1] dim=[-2,-1], str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -138362,7 +145827,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
@@ -138376,12 +145841,12 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: const at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::IntArrayRef, c10::optional<c10::string_view>, const at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: const at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::IntArrayRef, ::std::optional<c10::string_view>, const at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -138389,7 +145854,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
@@ -138403,11 +145868,11 @@
     size: 1
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -138436,7 +145901,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_fftn(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None) -> Tensor
+  schema_string: aten::fft_fftn(Tensor self, SymInt[1]? s=None, int[1]? dim=None, str? norm=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -138444,26 +145909,26 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -138471,25 +145936,25 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - namespace
@@ -138511,7 +145976,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_fftn.out(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::fft_fftn.out(Tensor self, SymInt[1]? s=None, int[1]? dim=None, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -138526,26 +145991,26 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, c10::optional<c10::string_view>, at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, ::std::optional<c10::string_view>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -138553,25 +146018,25 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -138600,7 +146065,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_ifftn(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None) -> Tensor
+  schema_string: aten::fft_ifftn(Tensor self, SymInt[1]? s=None, int[1]? dim=None, str? norm=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -138608,26 +146073,26 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -138635,25 +146100,25 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - namespace
@@ -138675,7 +146140,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_ifftn.out(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::fft_ifftn.out(Tensor self, SymInt[1]? s=None, int[1]? dim=None, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -138690,26 +146155,26 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, c10::optional<c10::string_view>, at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, ::std::optional<c10::string_view>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -138717,25 +146182,25 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -138764,7 +146229,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_rfftn(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None) -> Tensor
+  schema_string: aten::fft_rfftn(Tensor self, SymInt[1]? s=None, int[1]? dim=None, str? norm=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -138772,26 +146237,26 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -138799,25 +146264,25 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - namespace
@@ -138839,7 +146304,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_rfftn.out(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::fft_rfftn.out(Tensor self, SymInt[1]? s=None, int[1]? dim=None, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -138854,26 +146319,26 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, c10::optional<c10::string_view>, at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, ::std::optional<c10::string_view>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -138881,25 +146346,25 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -138928,7 +146393,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_irfftn(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None) -> Tensor
+  schema_string: aten::fft_irfftn(Tensor self, SymInt[1]? s=None, int[1]? dim=None, str? norm=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -138936,26 +146401,26 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -138963,25 +146428,25 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - namespace
@@ -139003,7 +146468,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_irfftn.out(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::fft_irfftn.out(Tensor self, SymInt[1]? s=None, int[1]? dim=None, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -139018,26 +146483,26 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, c10::optional<c10::string_view>, at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, ::std::optional<c10::string_view>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -139045,25 +146510,25 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -139092,7 +146557,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_hfftn(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None) -> Tensor
+  schema_string: aten::fft_hfftn(Tensor self, SymInt[1]? s=None, int[1]? dim=None, str? norm=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -139100,26 +146565,26 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -139127,25 +146592,25 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - namespace
@@ -139167,7 +146632,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_hfftn.out(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::fft_hfftn.out(Tensor self, SymInt[1]? s=None, int[1]? dim=None, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -139182,26 +146647,26 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: const at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, c10::optional<c10::string_view>, const at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: const at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, ::std::optional<c10::string_view>, const at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -139209,25 +146674,25 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -139256,7 +146721,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_ihfftn(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None) -> Tensor
+  schema_string: aten::fft_ihfftn(Tensor self, SymInt[1]? s=None, int[1]? dim=None, str? norm=None) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -139264,26 +146729,26 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -139291,25 +146756,25 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - namespace
@@ -139331,7 +146796,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::fft_ihfftn.out(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::fft_ihfftn.out(Tensor self, SymInt[1]? s=None, int[1]? dim=None, str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -139346,26 +146811,26 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: const at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, c10::optional<c10::string_view>, const at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: const at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::OptionalIntArrayRef, ::std::optional<c10::string_view>, const at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -139373,25 +146838,25 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: s
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     name: norm
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -139440,7 +146905,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, double, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, double, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -139454,33 +146919,33 @@
     name: d
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -139583,7 +147048,7 @@
     kwarg_only: true
     name: options
     type: at::TensorOptions
-  schema_order_cpp_signature: at::Tensor (int64_t, double, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+  schema_order_cpp_signature: at::Tensor (int64_t, double, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -139597,33 +147062,33 @@
     name: d
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     kwarg_only: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     kwarg_only: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -139714,7 +147179,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
@@ -139728,7 +147193,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
@@ -139763,7 +147228,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
@@ -139777,7 +147242,7 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
@@ -140260,7 +147725,7 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
@@ -140346,7 +147811,7 @@
     type: at::Tensor &
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
@@ -141645,19 +149110,19 @@
     name: b
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: rcond
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     kwarg_only: true
     name: driver
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, c10::optional<double>, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, ::std::optional<double>, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -141670,18 +149135,18 @@
     name: b
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: rcond
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     kwarg_only: true
     name: driver
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - namespace
@@ -141761,19 +149226,19 @@
     name: b
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: rcond
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     kwarg_only: true
     name: driver
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, c10::optional<double>, c10::optional<c10::string_view>, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, ::std::optional<double>, ::std::optional<c10::string_view>, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -141786,18 +149251,18 @@
     name: b
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     name: rcond
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     kwarg_only: true
     name: driver
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -142663,6 +150128,41 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: _linalg_eigvals
+  operator_name: _linalg_eigvals
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_linalg_eigvals(Tensor self) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: linalg
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: linalg_eigvals
   operator_name: linalg_eigvals
   overload_name: ''
@@ -142742,11 +150242,11 @@
     type: at::Tensor &
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: _linalg_eigh
   operator_name: _linalg_eigh
   overload_name: ''
@@ -143892,13 +151392,13 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: ord
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
@@ -143911,13 +151411,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::optional<at::Scalar> &, at::OptionalIntArrayRef, bool, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const ::std::optional<at::Scalar> &, at::OptionalIntArrayRef, bool, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -143925,13 +151425,13 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: ord
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
@@ -143944,12 +151444,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - namespace
@@ -143984,7 +151484,7 @@
     name: ord
     type: c10::string_view
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
@@ -143997,13 +151497,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::string_view, at::OptionalIntArrayRef, bool, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::string_view, at::OptionalIntArrayRef, bool, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -144016,7 +151516,7 @@
     name: ord
     type: c10::string_view
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
@@ -144029,12 +151529,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - namespace
@@ -144071,13 +151571,13 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: ord
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
@@ -144090,13 +151590,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const c10::optional<at::Scalar> &, at::OptionalIntArrayRef, bool, c10::optional<at::ScalarType>, at::Tensor &)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const ::std::optional<at::Scalar> &, at::OptionalIntArrayRef, bool, ::std::optional<at::ScalarType>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -144104,13 +151604,13 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: ord
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
@@ -144123,12 +151623,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -144177,7 +151677,7 @@
     name: ord
     type: c10::string_view
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
@@ -144190,13 +151690,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::string_view, at::OptionalIntArrayRef, bool, c10::optional<at::ScalarType>, at::Tensor &)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::string_view, at::OptionalIntArrayRef, bool, ::std::optional<at::ScalarType>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -144209,7 +151709,7 @@
     name: ord
     type: c10::string_view
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
@@ -144222,12 +151722,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -144270,7 +151770,7 @@
     name: ord
     type: const at::Scalar &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
@@ -144283,13 +151783,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Scalar &, at::OptionalIntArrayRef, bool, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Scalar &, at::OptionalIntArrayRef, bool, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -144303,7 +151803,7 @@
     name: ord
     type: const at::Scalar &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
@@ -144316,12 +151816,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - namespace
@@ -144364,7 +151864,7 @@
     name: ord
     type: const at::Scalar &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
@@ -144377,13 +151877,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Scalar &, at::OptionalIntArrayRef, bool, c10::optional<at::ScalarType>, at::Tensor &)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Scalar &, at::OptionalIntArrayRef, bool, ::std::optional<at::ScalarType>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -144397,7 +151897,7 @@
     name: ord
     type: const at::Scalar &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
@@ -144410,12 +151910,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -144469,13 +151969,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Scalar &, at::IntArrayRef, bool, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Scalar &, at::IntArrayRef, bool, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -144500,12 +152000,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - namespace
@@ -144559,13 +152059,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Scalar &, at::IntArrayRef, bool, c10::optional<at::ScalarType>, at::Tensor &)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Scalar &, at::IntArrayRef, bool, ::std::optional<at::ScalarType>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -144590,12 +152090,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -144650,13 +152150,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::string_view, at::IntArrayRef, bool, c10::optional<at::ScalarType>)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::string_view, at::IntArrayRef, bool, ::std::optional<at::ScalarType>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -144682,12 +152182,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   method_of:
   - Type
   - namespace
@@ -144742,13 +152242,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::string_view, at::IntArrayRef, bool, c10::optional<at::ScalarType>, at::Tensor &)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::string_view, at::IntArrayRef, bool, ::std::optional<at::ScalarType>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -144774,12 +152274,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -144828,13 +152328,13 @@
     name: compute_uv
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     kwarg_only: true
     name: driver
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, bool, bool, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, bool, bool, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -144854,12 +152354,12 @@
     name: compute_uv
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     kwarg_only: true
     name: driver
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - namespace
@@ -144934,13 +152434,13 @@
     name: compute_uv
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     kwarg_only: true
     name: driver
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, bool, bool, c10::optional<c10::string_view>, at::Tensor &, at::Tensor &, at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, bool, bool, ::std::optional<c10::string_view>, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -144960,12 +152460,12 @@
     name: compute_uv
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     kwarg_only: true
     name: driver
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -145034,13 +152534,13 @@
     name: full_matrices
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     kwarg_only: true
     name: driver
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, bool, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, bool, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -145054,12 +152554,12 @@
     name: full_matrices
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     kwarg_only: true
     name: driver
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - namespace
@@ -145128,13 +152628,13 @@
     name: full_matrices
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     kwarg_only: true
     name: driver
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, bool, c10::optional<c10::string_view>, at::Tensor &, at::Tensor &, at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, bool, ::std::optional<c10::string_view>, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -145148,12 +152648,12 @@
     name: full_matrices
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     kwarg_only: true
     name: driver
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -145216,13 +152716,13 @@
     name: A
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     kwarg_only: true
     name: driver
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<c10::string_view>)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<c10::string_view>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -145230,12 +152730,12 @@
     name: A
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     kwarg_only: true
     name: driver
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   method_of:
   - Type
   - namespace
@@ -145272,13 +152772,13 @@
     name: A
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     kwarg_only: true
     name: driver
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<c10::string_view>, at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<c10::string_view>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -145286,12 +152786,12 @@
     name: A
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: c10::string_view
     is_nullable: true
     kwarg_only: true
     name: driver
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -145328,12 +152828,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::optional<at::Scalar> &)
+    type: const ::std::optional<at::Scalar> &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const ::std::optional<at::Scalar> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -145341,11 +152841,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   method_of:
   - Type
   - namespace
@@ -145382,12 +152882,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const c10::optional<at::Scalar> &, at::Tensor &)
+    type: const ::std::optional<at::Scalar> &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const ::std::optional<at::Scalar> &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -145395,11 +152895,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -145545,14 +153045,14 @@
     is_nullable: true
     kwarg_only: true
     name: atol
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: rtol
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -145560,7 +153060,7 @@
     kwarg_only: true
     name: hermitian
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -145573,14 +153073,14 @@
     is_nullable: true
     kwarg_only: true
     name: atol
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: rtol
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -145629,14 +153129,14 @@
     is_nullable: true
     kwarg_only: true
     name: atol
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: rtol
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -145644,7 +153144,7 @@
     kwarg_only: true
     name: hermitian
     type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, bool, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -145657,14 +153157,14 @@
     is_nullable: true
     kwarg_only: true
     name: atol
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: rtol
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -145708,19 +153208,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     kwarg_only: true
     name: atol
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     kwarg_only: true
     name: rtol
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -145728,7 +153228,7 @@
     kwarg_only: true
     name: hermitian
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<double>, c10::optional<double>, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<double>, ::std::optional<double>, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -145736,19 +153236,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     kwarg_only: true
     name: atol
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     kwarg_only: true
     name: rtol
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -145792,19 +153292,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     kwarg_only: true
     name: atol
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     kwarg_only: true
     name: rtol
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -145812,7 +153312,7 @@
     kwarg_only: true
     name: hermitian
     type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<double>, c10::optional<double>, bool, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<double>, ::std::optional<double>, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -145820,19 +153320,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     kwarg_only: true
     name: atol
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     kwarg_only: true
     name: rtol
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -146602,6 +154102,65 @@
   with_gil: false
   deprecated: false
   has_math_kernel: true
+- name: _spsolve
+  operator_name: _spsolve
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_spsolve(Tensor A, Tensor B, *, bool left=True) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: A
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: B
+    type: const at::Tensor &
+  - annotation: null
+    default: true
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: left
+    type: bool
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, bool)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: A
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: B
+    type: const at::Tensor &
+  - annotation: null
+    default: true
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: left
+    type: bool
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: sparse
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: linalg_solve_out
   operator_name: linalg_solve
   overload_name: out
@@ -146801,7 +154360,7 @@
     name: other
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dims
@@ -146819,7 +154378,7 @@
     name: other
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dims
@@ -146865,7 +154424,7 @@
     name: other
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dims
@@ -146883,7 +154442,7 @@
     name: other
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dims
@@ -147169,14 +154728,14 @@
     is_nullable: true
     kwarg_only: true
     name: atol
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: rtol
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -147184,7 +154743,7 @@
     kwarg_only: true
     name: hermitian
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -147197,14 +154756,14 @@
     is_nullable: true
     kwarg_only: true
     name: atol
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: rtol
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -147253,14 +154812,14 @@
     is_nullable: true
     kwarg_only: true
     name: atol
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: rtol
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -147268,7 +154827,7 @@
     kwarg_only: true
     name: hermitian
     type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, bool, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -147281,14 +154840,14 @@
     is_nullable: true
     kwarg_only: true
     name: atol
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: rtol
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -147332,19 +154891,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     kwarg_only: true
     name: atol
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     kwarg_only: true
     name: rtol
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -147352,7 +154911,7 @@
     kwarg_only: true
     name: hermitian
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<double>, c10::optional<double>, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<double>, ::std::optional<double>, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -147360,19 +154919,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     kwarg_only: true
     name: atol
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     kwarg_only: true
     name: rtol
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -147416,19 +154975,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     kwarg_only: true
     name: atol
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     kwarg_only: true
     name: rtol
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -147436,7 +154995,7 @@
     kwarg_only: true
     name: hermitian
     type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<double>, c10::optional<double>, bool, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<double>, ::std::optional<double>, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -147444,19 +155003,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     kwarg_only: true
     name: atol
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: double
     is_nullable: true
     kwarg_only: true
     name: rtol
-    type: c10::optional<double>
+    type: ::std::optional<double>
   - annotation: null
     default: false
     dynamic_type: bool
@@ -147845,7 +155404,7 @@
     name: padding
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: output_size
@@ -147863,7 +155422,7 @@
     name: padding
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: output_size
@@ -147941,6 +155500,63 @@
   with_gil: false
   deprecated: false
   has_math_kernel: true
+- name: _test_parallel_materialize
+  operator_name: _test_parallel_materialize
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_test_parallel_materialize(Tensor self, int num_parallel, bool skip_first=False) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: num_parallel
+    type: int64_t
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: skip_first
+    type: bool
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, bool)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: num_parallel
+    type: int64_t
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: skip_first
+    type: bool
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: _test_optional_intlist
   operator_name: _test_optional_intlist
   overload_name: ''
@@ -148049,8 +155665,8 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: addends
-    type: c10::optional<at::ArrayRef<double>>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::ArrayRef<double>>)
+    type: ::std::optional<at::ArrayRef<double>>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::ArrayRef<double>>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -148061,7 +155677,7 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: addends
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   method_of:
   - Type
   - namespace
@@ -148463,21 +156079,21 @@
     is_nullable: true
     kwarg_only: true
     name: lengths
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: indices
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: offsets
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 0
     dynamic_type: int64_t
@@ -148493,13 +156109,13 @@
     name: unsafe
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: initial
-    type: const c10::optional<at::Scalar> &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::string_view, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, int64_t, bool, const c10::optional<at::Scalar> &)
+    type: const ::std::optional<at::Scalar> &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::string_view, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, int64_t, bool, const ::std::optional<at::Scalar> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -148517,21 +156133,21 @@
     is_nullable: true
     kwarg_only: true
     name: lengths
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: indices
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: offsets
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 0
     dynamic_type: int64_t
@@ -148547,12 +156163,12 @@
     name: unsafe
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: initial
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   method_of:
   - Type
   - namespace
@@ -148602,14 +156218,14 @@
     is_nullable: true
     kwarg_only: true
     name: lengths
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: offsets
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 0
     dynamic_type: int64_t
@@ -148618,13 +156234,13 @@
     name: axis
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: initial
-    type: const c10::optional<at::Scalar> &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, c10::string_view, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, int64_t, const c10::optional<at::Scalar> &)
+    type: const ::std::optional<at::Scalar> &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, c10::string_view, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, int64_t, const ::std::optional<at::Scalar> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -148652,14 +156268,14 @@
     is_nullable: true
     kwarg_only: true
     name: lengths
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: offsets
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 0
     dynamic_type: int64_t
@@ -148668,12 +156284,12 @@
     name: axis
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: initial
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   method_of:
   - Type
   - namespace
@@ -148695,7 +156311,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::pad_sequence(Tensor[] sequences, bool batch_first=False, float padding_value=0.0) -> Tensor
+  schema_string: aten::pad_sequence(Tensor[] sequences, bool batch_first=False, float padding_value=0.0, str padding_side="right") -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -148714,7 +156330,13 @@
     is_nullable: false
     name: padding_value
     type: double
-  schema_order_cpp_signature: at::Tensor (at::TensorList, bool, double)
+  - annotation: null
+    default: '"right"'
+    dynamic_type: c10::string_view
+    is_nullable: false
+    name: padding_side
+    type: c10::string_view
+  schema_order_cpp_signature: at::Tensor (at::TensorList, bool, double, c10::string_view)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -148733,6 +156355,12 @@
     is_nullable: false
     name: padding_value
     type: double
+  - annotation: null
+    default: '"right"'
+    dynamic_type: c10::string_view
+    is_nullable: false
+    name: padding_side
+    type: c10::string_view
   method_of:
   - Type
   - namespace
@@ -148842,30 +156470,30 @@
     name: list
     type: at::TensorList
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     name: pin_memory
-    type: c10::optional<bool>
-  schema_order_cpp_signature: at::Tensor (at::TensorList, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>)
+    type: ::std::optional<bool>
+  schema_order_cpp_signature: at::Tensor (at::TensorList, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -148873,29 +156501,29 @@
     name: list
     type: at::TensorList
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   method_of:
   - Type
   - namespace
@@ -149175,12 +156803,12 @@
     name: stride
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: storage_offset
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -149198,11 +156826,11 @@
     name: stride
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: storage_offset
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - namespace
@@ -149603,24 +157231,24 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: start
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: end
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: 1
     dynamic_type: int64_t
     is_nullable: false
     name: step
     type: int64_t
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, c10::optional<int64_t>, c10::optional<int64_t>, int64_t)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, ::std::optional<int64_t>, ::std::optional<int64_t>, int64_t)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -149634,17 +157262,17 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: start
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: end
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: 1
     dynamic_type: int64_t
@@ -150770,7 +158398,7 @@
     name: padding
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: output_size
@@ -150788,7 +158416,7 @@
     name: padding
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: output_size
@@ -150809,6 +158437,130 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: _jagged_to_padded_dense_forward
+  operator_name: _jagged_to_padded_dense_forward
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_jagged_to_padded_dense_forward(Tensor values, Tensor[] offsets, SymInt[] max_lengths, float padding_value=0.0) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: values
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: offsets
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: max_lengths
+    type: at::IntArrayRef
+  - annotation: null
+    default: 0.0
+    dynamic_type: double
+    is_nullable: false
+    name: padding_value
+    type: double
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::TensorList, at::IntArrayRef, double)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: values
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: offsets
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: max_lengths
+    type: at::IntArrayRef
+  - annotation: null
+    default: 0.0
+    dynamic_type: double
+    is_nullable: false
+    name: padding_value
+    type: double
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _padded_dense_to_jagged_forward
+  operator_name: _padded_dense_to_jagged_forward
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_padded_dense_to_jagged_forward(Tensor dense, Tensor[] offsets, SymInt? total_L=None) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: dense
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: offsets
+    type: at::TensorList
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    name: total_L
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::TensorList, ::std::optional<int64_t>)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: dense
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: offsets
+    type: at::TensorList
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    name: total_L
+    type: ::std::optional<int64_t>
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: _nested_tensor_softmax_with_shape
   operator_name: _nested_tensor_softmax_with_shape
   overload_name: ''
@@ -150854,6 +158606,63 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: _safe_softmax
+  operator_name: _safe_softmax
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_safe_softmax(Tensor self, int dim, ScalarType? dtype=None) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: dim
+    type: int64_t
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, ::std::optional<at::ScalarType>)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: dim
+    type: int64_t
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: _transformer_encoder_layer_fwd
   operator_name: _transformer_encoder_layer_fwd
   overload_name: ''
@@ -150956,14 +158765,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: mask
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: mask_type
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, int64_t, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, bool, bool, double, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, int64_t, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, bool, bool, double, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -151060,13 +158869,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: mask
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: mask_type
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - namespace
@@ -151140,7 +158949,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: mask
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: true
     dynamic_type: bool
@@ -151154,12 +158963,12 @@
     name: average_attn_weights
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: mask_type
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, int64_t, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, bool, bool, c10::optional<int64_t>)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, int64_t, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, bool, bool, ::std::optional<int64_t>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -151211,7 +159020,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: mask
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: true
     dynamic_type: bool
@@ -151225,11 +159034,11 @@
     name: average_attn_weights
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: mask_type
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - namespace
@@ -151254,7 +159063,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::scaled_dot_product_attention(Tensor query, Tensor key, Tensor value, Tensor? attn_mask=None, float dropout_p=0.0, bool is_causal=False) -> Tensor
+  schema_string: aten::scaled_dot_product_attention(Tensor query, Tensor key, Tensor value, Tensor? attn_mask=None, float dropout_p=0.0, bool is_causal=False, *, float? scale=None, bool enable_gqa=False) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -151276,7 +159085,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: attn_mask
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 0.0
     dynamic_type: double
@@ -151289,7 +159098,21 @@
     is_nullable: false
     name: is_causal
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, double, bool)
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: enable_gqa
+    type: bool
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, double, bool, ::std::optional<double>, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -151311,7 +159134,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: attn_mask
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 0.0
     dynamic_type: double
@@ -151324,6 +159147,20 @@
     is_nullable: false
     name: is_causal
     type: bool
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: enable_gqa
+    type: bool
   method_of:
   - Type
   - namespace
@@ -151340,12 +159177,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: true
-- name: _scaled_dot_product_attention
-  operator_name: _scaled_dot_product_attention
+- name: _fused_sdp_choice
+  operator_name: _fused_sdp_choice
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_scaled_dot_product_attention(Tensor query, Tensor key, Tensor value, Tensor? attn_mask=None, float dropout_p=0.0, bool need_attn_weights=False, bool is_causal=False) -> (Tensor, Tensor)
+  schema_string: aten::_fused_sdp_choice(Tensor query, Tensor key, Tensor value, Tensor? attn_mask=None, float dropout_p=0.0, bool is_causal=False, *, float? scale=None, bool enable_gqa=False) -> int
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -151367,7 +159204,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: attn_mask
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 0.0
     dynamic_type: double
@@ -151378,15 +159215,23 @@
     default: false
     dynamic_type: bool
     is_nullable: false
-    name: need_attn_weights
+    name: is_causal
     type: bool
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
-    name: is_causal
+    kwarg_only: true
+    name: enable_gqa
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, double, bool, bool)
+  schema_order_cpp_signature: int64_t (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, double, bool, ::std::optional<double>, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -151408,7 +159253,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: attn_mask
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 0.0
     dynamic_type: double
@@ -151419,39 +159264,44 @@
     default: false
     dynamic_type: bool
     is_nullable: false
-    name: need_attn_weights
+    name: is_causal
     type: bool
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
-    name: is_causal
+    kwarg_only: true
+    name: enable_gqa
     type: bool
   method_of:
   - Type
   - namespace
   mode: native
-  python_module: nn
+  python_module: ''
   returns:
-  - dynamic_type: at::Tensor
-    name: result0
-    type: at::Tensor
-  - dynamic_type: at::Tensor
-    name: result1
-    type: at::Tensor
+  - dynamic_type: int64_t
+    name: result
+    type: int64_t
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
-- name: _fused_sdp_choice
-  operator_name: _fused_sdp_choice
+  has_math_kernel: false
+- name: _scaled_dot_product_attention_math
+  operator_name: _scaled_dot_product_attention_math
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_fused_sdp_choice(Tensor query, Tensor key, Tensor value, Tensor? attn_mask=None, float dropout_p=0.0, bool is_causal=False) -> int
+  schema_string: aten::_scaled_dot_product_attention_math(Tensor query, Tensor key, Tensor value, Tensor? attn_mask=None, float dropout_p=0.0, bool is_causal=False, Tensor? dropout_mask=None, *, float? scale=None, bool enable_gqa=False) -> (Tensor, Tensor)
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -151473,7 +159323,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: attn_mask
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 0.0
     dynamic_type: double
@@ -151486,7 +159336,27 @@
     is_nullable: false
     name: is_causal
     type: bool
-  schema_order_cpp_signature: int64_t (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, double, bool)
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: dropout_mask
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: enable_gqa
+    type: bool
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, double, bool, const ::std::optional<at::Tensor> &, ::std::optional<double>, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -151508,7 +159378,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: attn_mask
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 0.0
     dynamic_type: double
@@ -151521,28 +159391,51 @@
     is_nullable: false
     name: is_causal
     type: bool
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: dropout_mask
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: enable_gqa
+    type: bool
   method_of:
   - Type
   - namespace
   mode: native
   python_module: ''
   returns:
-  - dynamic_type: int64_t
-    name: result
-    type: int64_t
+  - dynamic_type: at::Tensor
+    name: result0
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    name: result1
+    type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: true
+  abstract: false
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: false
-- name: _scaled_dot_product_attention_math
-  operator_name: _scaled_dot_product_attention_math
+  has_math_kernel: true
+- name: _scaled_dot_product_attention_math_for_mps
+  operator_name: _scaled_dot_product_attention_math_for_mps
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_scaled_dot_product_attention_math(Tensor query, Tensor key, Tensor value, Tensor? attn_mask=None, float dropout_p=0.0, bool is_causal=False, Tensor? dropout_mask=None) -> (Tensor, Tensor)
+  schema_string: aten::_scaled_dot_product_attention_math_for_mps(Tensor query, Tensor key, Tensor value, Tensor? attn_mask=None, float dropout_p=0.0, bool is_causal=False, Tensor? dropout_mask=None, *, float? scale=None) -> (Tensor, Tensor)
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -151564,7 +159457,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: attn_mask
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 0.0
     dynamic_type: double
@@ -151582,8 +159475,15 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: dropout_mask
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, double, bool, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, double, bool, const ::std::optional<at::Tensor> &, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -151605,7 +159505,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: attn_mask
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 0.0
     dynamic_type: double
@@ -151623,7 +159523,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: dropout_mask
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -151638,17 +159545,17 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: _scaled_dot_product_flash_attention
   operator_name: _scaled_dot_product_flash_attention
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_scaled_dot_product_flash_attention(Tensor query, Tensor key, Tensor value, float dropout_p=0.0, bool is_causal=False, bool return_debug_mask=False) -> (Tensor ouput, Tensor logsumexp, Tensor cum_seq_q, Tensor cum_seq_k, int max_q, int max_k, int philox_seed, int philox_offset, Tensor debug_attn_mask)
+  schema_string: aten::_scaled_dot_product_flash_attention(Tensor query, Tensor key, Tensor value, float dropout_p=0.0, bool is_causal=False, bool return_debug_mask=False, *, float? scale=None) -> (Tensor output, Tensor logsumexp, Tensor cum_seq_q, Tensor cum_seq_k, SymInt max_q, SymInt max_k, Tensor philox_seed, Tensor philox_offset, Tensor debug_attn_mask)
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -151683,7 +159590,14 @@
     is_nullable: false
     name: return_debug_mask
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,int64_t,int64_t,int64_t,int64_t,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, double, bool, bool)
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,c10::SymInt,c10::SymInt,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, double, bool, bool, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -151718,6 +159632,13 @@
     is_nullable: false
     name: return_debug_mask
     type: bool
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -151725,8 +159646,8 @@
   python_module: ''
   returns:
   - dynamic_type: at::Tensor
-    field_name: ouput
-    name: ouput
+    field_name: output
+    name: output
     type: at::Tensor
   - dynamic_type: at::Tensor
     field_name: logsumexp
@@ -151743,19 +159664,19 @@
   - dynamic_type: int64_t
     field_name: max_q
     name: max_q
-    type: int64_t
+    type: c10::SymInt
   - dynamic_type: int64_t
     field_name: max_k
     name: max_k
-    type: int64_t
-  - dynamic_type: int64_t
+    type: c10::SymInt
+  - dynamic_type: at::Tensor
     field_name: philox_seed
     name: philox_seed
-    type: int64_t
-  - dynamic_type: int64_t
+    type: at::Tensor
+  - dynamic_type: at::Tensor
     field_name: philox_offset
     name: philox_offset
-    type: int64_t
+    type: at::Tensor
   - dynamic_type: at::Tensor
     field_name: debug_attn_mask
     name: debug_attn_mask
@@ -151767,18 +159688,13 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _scaled_dot_product_flash_attention_backward
-  operator_name: _scaled_dot_product_flash_attention_backward
+- name: _scaled_dot_product_flash_attention_for_cpu
+  operator_name: _scaled_dot_product_flash_attention_for_cpu
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_scaled_dot_product_flash_attention_backward(Tensor grad_out, Tensor query, Tensor key, Tensor value, Tensor out, Tensor logsumexp, Tensor cum_seq_q, Tensor cum_seq_k, int max_q, int max_k, float dropout_p, bool is_causal, int philox_seed, int philox_offset) -> (Tensor grad_query, Tensor grad_key, Tensor grad_value)
+  schema_string: aten::_scaled_dot_product_flash_attention_for_cpu(Tensor query, Tensor key, Tensor value, float dropout_p=0.0, bool is_causal=False, *, Tensor? attn_mask=None, float? scale=None) -> (Tensor output, Tensor logsumexp)
   arguments:
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: grad_out
-    type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -151795,62 +159711,33 @@
     name: value
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: logsumexp
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: cum_seq_q
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: cum_seq_k
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: max_q
-    type: int64_t
-  - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: max_k
-    type: int64_t
-  - annotation: null
+    default: 0.0
     dynamic_type: double
     is_nullable: false
     name: dropout_p
     type: double
   - annotation: null
+    default: false
     dynamic_type: bool
     is_nullable: false
     name: is_causal
     type: bool
   - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: philox_seed
-    type: int64_t
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: attn_mask
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: philox_offset
-    type: int64_t
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, int64_t, double, bool, int64_t, int64_t)
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, double, bool, const ::std::optional<at::Tensor> &, ::std::optional<double>)
   schema_order_arguments:
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: grad_out
-    type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -151867,55 +159754,31 @@
     name: value
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: logsumexp
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: cum_seq_q
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: cum_seq_k
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: max_q
-    type: int64_t
-  - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: max_k
-    type: int64_t
-  - annotation: null
+    default: 0.0
     dynamic_type: double
     is_nullable: false
     name: dropout_p
     type: double
   - annotation: null
+    default: false
     dynamic_type: bool
     is_nullable: false
     name: is_causal
     type: bool
   - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: philox_seed
-    type: int64_t
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: attn_mask
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: philox_offset
-    type: int64_t
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -151923,16 +159786,12 @@
   python_module: ''
   returns:
   - dynamic_type: at::Tensor
-    field_name: grad_query
-    name: grad_query
-    type: at::Tensor
-  - dynamic_type: at::Tensor
-    field_name: grad_key
-    name: grad_key
+    field_name: output
+    name: output
     type: at::Tensor
   - dynamic_type: at::Tensor
-    field_name: grad_value
-    name: grad_value
+    field_name: logsumexp
+    name: logsumexp
     type: at::Tensor
   inplace: false
   is_factory_method: false
@@ -151941,12 +159800,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _scaled_dot_product_efficient_attention
-  operator_name: _scaled_dot_product_efficient_attention
+- name: _scaled_dot_product_fused_attention_overrideable
+  operator_name: _scaled_dot_product_fused_attention_overrideable
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_scaled_dot_product_efficient_attention(Tensor query, Tensor key, Tensor value, bool compute_log_sumexp, bool is_causal=False) -> (Tensor, Tensor)
+  schema_string: aten::_scaled_dot_product_fused_attention_overrideable(Tensor query, Tensor key, Tensor value, Tensor? attn_bias=None, float dropout_p=0.0, bool is_causal=False, bool return_debug_mask=False, *, float? scale=None) -> (Tensor output, Tensor logsumexp, Tensor cum_seq_q, Tensor cum_seq_k, SymInt max_q, SymInt max_k, Tensor philox_seed, Tensor philox_offset, Tensor debug_attn_mask)
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -151964,17 +159823,37 @@
     name: value
     type: const at::Tensor &
   - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: attn_bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: 0.0
+    dynamic_type: double
+    is_nullable: false
+    name: dropout_p
+    type: double
+  - annotation: null
+    default: false
     dynamic_type: bool
     is_nullable: false
-    name: compute_log_sumexp
+    name: is_causal
     type: bool
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
-    name: is_causal
+    name: return_debug_mask
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, bool, bool)
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,c10::SymInt,c10::SymInt,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, double, bool, bool, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -151992,16 +159871,36 @@
     name: value
     type: const at::Tensor &
   - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: attn_bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: 0.0
+    dynamic_type: double
+    is_nullable: false
+    name: dropout_p
+    type: double
+  - annotation: null
+    default: false
     dynamic_type: bool
     is_nullable: false
-    name: compute_log_sumexp
+    name: is_causal
     type: bool
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
-    name: is_causal
+    name: return_debug_mask
     type: bool
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -152009,10 +159908,40 @@
   python_module: ''
   returns:
   - dynamic_type: at::Tensor
-    name: result0
+    field_name: output
+    name: output
     type: at::Tensor
   - dynamic_type: at::Tensor
-    name: result1
+    field_name: logsumexp
+    name: logsumexp
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    field_name: cum_seq_q
+    name: cum_seq_q
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    field_name: cum_seq_k
+    name: cum_seq_k
+    type: at::Tensor
+  - dynamic_type: int64_t
+    field_name: max_q
+    name: max_q
+    type: c10::SymInt
+  - dynamic_type: int64_t
+    field_name: max_k
+    name: max_k
+    type: c10::SymInt
+  - dynamic_type: at::Tensor
+    field_name: philox_seed
+    name: philox_seed
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    field_name: philox_offset
+    name: philox_offset
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    field_name: debug_attn_mask
+    name: debug_attn_mask
     type: at::Tensor
   inplace: false
   is_factory_method: false
@@ -152021,17 +159950,17 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _scaled_dot_product_efficient_attention_backward
-  operator_name: _scaled_dot_product_efficient_attention_backward
+- name: _scaled_dot_product_flash_attention_backward
+  operator_name: _scaled_dot_product_flash_attention_backward
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_scaled_dot_product_efficient_attention_backward(Tensor grad_out_, Tensor query, Tensor key, Tensor value, Tensor out, Tensor logsumexp, bool is_causal=False, bool chunk_grad_outputs=False) -> (Tensor, Tensor, Tensor)
+  schema_string: aten::_scaled_dot_product_flash_attention_backward(Tensor grad_out, Tensor query, Tensor key, Tensor value, Tensor out, Tensor logsumexp, Tensor cum_seq_q, Tensor cum_seq_k, SymInt max_q, SymInt max_k, float dropout_p, bool is_causal, Tensor philox_seed, Tensor philox_offset, *, float? scale=None) -> (Tensor grad_query, Tensor grad_key, Tensor grad_value)
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: grad_out_
+    name: grad_out
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
@@ -152059,23 +159988,58 @@
     name: logsumexp
     type: const at::Tensor &
   - annotation: null
-    default: false
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: cum_seq_q
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: cum_seq_k
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: max_q
+    type: int64_t
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: max_k
+    type: int64_t
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: dropout_p
+    type: double
+  - annotation: null
     dynamic_type: bool
     is_nullable: false
     name: is_causal
     type: bool
   - annotation: null
-    default: false
-    dynamic_type: bool
+    dynamic_type: at::Tensor
     is_nullable: false
-    name: chunk_grad_outputs
-    type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, bool, bool)
+    name: philox_seed
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: philox_offset
+    type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, int64_t, double, bool, const at::Tensor &, const at::Tensor &, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: grad_out_
+    name: grad_out
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
@@ -152102,100 +160066,71 @@
     is_nullable: false
     name: logsumexp
     type: const at::Tensor &
-  - annotation: null
-    default: false
-    dynamic_type: bool
-    is_nullable: false
-    name: is_causal
-    type: bool
-  - annotation: null
-    default: false
-    dynamic_type: bool
-    is_nullable: false
-    name: chunk_grad_outputs
-    type: bool
-  method_of:
-  - Type
-  - namespace
-  mode: native
-  python_module: ''
-  returns:
-  - dynamic_type: at::Tensor
-    name: result0
-    type: at::Tensor
-  - dynamic_type: at::Tensor
-    name: result1
-    type: at::Tensor
-  - dynamic_type: at::Tensor
-    name: result2
-    type: at::Tensor
-  inplace: false
-  is_factory_method: false
-  abstract: true
-  device_guard: true
-  with_gil: false
-  deprecated: false
-  has_math_kernel: false
-- name: _chunk_grad_outputs_efficient_attention
-  operator_name: _chunk_grad_outputs_efficient_attention
-  overload_name: ''
-  manual_kernel_registration: false
-  category_override: ''
-  schema_string: aten::_chunk_grad_outputs_efficient_attention(Tensor query, Tensor key, Tensor value, bool is_causal=False) -> bool
-  arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: query
+    name: cum_seq_q
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: key
+    name: cum_seq_k
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: int64_t
     is_nullable: false
-    name: value
-    type: const at::Tensor &
+    name: max_q
+    type: int64_t
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: max_k
+    type: int64_t
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: dropout_p
+    type: double
   - annotation: null
-    default: false
     dynamic_type: bool
     is_nullable: false
     name: is_causal
     type: bool
-  schema_order_cpp_signature: bool (const at::Tensor &, const at::Tensor &, const at::Tensor &, bool)
-  schema_order_arguments:
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: query
-    type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: key
+    name: philox_seed
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: value
+    name: philox_offset
     type: const at::Tensor &
   - annotation: null
-    default: false
-    dynamic_type: bool
-    is_nullable: false
-    name: is_causal
-    type: bool
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
   mode: native
   python_module: ''
   returns:
-  - dynamic_type: bool
-    name: result
-    type: bool
+  - dynamic_type: at::Tensor
+    field_name: grad_query
+    name: grad_query
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    field_name: grad_key
+    name: grad_key
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    field_name: grad_value
+    name: grad_value
+    type: at::Tensor
   inplace: false
   is_factory_method: false
   abstract: true
@@ -152203,13 +160138,18 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _flash_attention_forward
-  operator_name: _flash_attention_forward
+- name: _scaled_dot_product_flash_attention_for_cpu_backward
+  operator_name: _scaled_dot_product_flash_attention_for_cpu_backward
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_flash_attention_forward(Tensor query, Tensor key, Tensor value, Tensor cum_seq_q, Tensor cum_seq_k, int max_q, int max_k, float dropout_p, bool is_causal, bool return_debug_mask) -> (Tensor output, Tensor softmax_logsumexp, int philox_seed, int philox_offset, Tensor debug_attn_mask)
+  schema_string: aten::_scaled_dot_product_flash_attention_for_cpu_backward(Tensor grad_out, Tensor query, Tensor key, Tensor value, Tensor out, Tensor logsumexp, float dropout_p, bool is_causal, *, Tensor? attn_mask=None, float? scale=None) -> (Tensor grad_query, Tensor grad_key, Tensor grad_value)
   arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: grad_out
+    type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -152228,23 +160168,13 @@
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: cum_seq_q
+    name: out
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: cum_seq_k
+    name: logsumexp
     type: const at::Tensor &
-  - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: max_q
-    type: int64_t
-  - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: max_k
-    type: int64_t
   - annotation: null
     dynamic_type: double
     is_nullable: false
@@ -152256,12 +160186,26 @@
     name: is_causal
     type: bool
   - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    name: return_debug_mask
-    type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,int64_t,int64_t,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, int64_t, double, bool, bool)
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: attn_mask
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, double, bool, const ::std::optional<at::Tensor> &, ::std::optional<double>)
   schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: grad_out
+    type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -152280,23 +160224,13 @@
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: cum_seq_q
+    name: out
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: cum_seq_k
+    name: logsumexp
     type: const at::Tensor &
-  - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: max_q
-    type: int64_t
-  - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: max_k
-    type: int64_t
   - annotation: null
     dynamic_type: double
     is_nullable: false
@@ -152308,10 +160242,19 @@
     name: is_causal
     type: bool
   - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    name: return_debug_mask
-    type: bool
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: attn_mask
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -152319,24 +160262,16 @@
   python_module: ''
   returns:
   - dynamic_type: at::Tensor
-    field_name: output
-    name: output
+    field_name: grad_query
+    name: grad_query
     type: at::Tensor
   - dynamic_type: at::Tensor
-    field_name: softmax_logsumexp
-    name: softmax_logsumexp
+    field_name: grad_key
+    name: grad_key
     type: at::Tensor
-  - dynamic_type: int64_t
-    field_name: philox_seed
-    name: philox_seed
-    type: int64_t
-  - dynamic_type: int64_t
-    field_name: philox_offset
-    name: philox_offset
-    type: int64_t
   - dynamic_type: at::Tensor
-    field_name: debug_attn_mask
-    name: debug_attn_mask
+    field_name: grad_value
+    name: grad_value
     type: at::Tensor
   inplace: false
   is_factory_method: false
@@ -152345,12 +160280,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _flash_attention_backward
-  operator_name: _flash_attention_backward
+- name: _scaled_dot_product_fused_attention_overrideable_backward
+  operator_name: _scaled_dot_product_fused_attention_overrideable_backward
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_flash_attention_backward(Tensor grad_out, Tensor query, Tensor key, Tensor value, Tensor out, Tensor logsumexp, Tensor cum_seq_q, Tensor cum_seq_k, int max_q, int max_k, float dropout_p, bool is_causal, int philox_seed, int philox_offset) -> (Tensor, Tensor, Tensor)
+  schema_string: aten::_scaled_dot_product_fused_attention_overrideable_backward(Tensor grad_out, Tensor query, Tensor key, Tensor value, Tensor attn_bias, bool[4] grad_input_mask, Tensor out, Tensor logsumexp, Tensor cum_seq_q, Tensor cum_seq_k, SymInt max_q, SymInt max_k, float dropout_p, bool is_causal, Tensor philox_seed, Tensor philox_offset, *, float? scale=None) -> (Tensor grad_query, Tensor grad_key, Tensor grad_value, Tensor grad_attn_bias)
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -152372,6 +160307,16 @@
     is_nullable: false
     name: value
     type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: attn_bias
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: ::std::array<bool,4>
+    is_nullable: false
+    name: grad_input_mask
+    type: ::std::array<bool,4>
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -152413,16 +160358,23 @@
     name: is_causal
     type: bool
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: at::Tensor
     is_nullable: false
     name: philox_seed
-    type: int64_t
+    type: const at::Tensor &
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: at::Tensor
     is_nullable: false
     name: philox_offset
-    type: int64_t
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, int64_t, double, bool, int64_t, int64_t)
+    type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, ::std::array<bool,4>, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, int64_t, double, bool, const at::Tensor &, const at::Tensor &, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -152444,6 +160396,16 @@
     is_nullable: false
     name: value
     type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: attn_bias
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: ::std::array<bool,4>
+    is_nullable: false
+    name: grad_input_mask
+    type: ::std::array<bool,4>
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -152485,15 +160447,22 @@
     name: is_causal
     type: bool
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: at::Tensor
     is_nullable: false
     name: philox_seed
-    type: int64_t
+    type: const at::Tensor &
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: at::Tensor
     is_nullable: false
     name: philox_offset
-    type: int64_t
+    type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -152501,13 +160470,20 @@
   python_module: ''
   returns:
   - dynamic_type: at::Tensor
-    name: result0
+    field_name: grad_query
+    name: grad_query
     type: at::Tensor
   - dynamic_type: at::Tensor
-    name: result1
+    field_name: grad_key
+    name: grad_key
     type: at::Tensor
   - dynamic_type: at::Tensor
-    name: result2
+    field_name: grad_value
+    name: grad_value
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    field_name: grad_attn_bias
+    name: grad_attn_bias
     type: at::Tensor
   inplace: false
   is_factory_method: false
@@ -152516,12 +160492,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _efficient_attention_forward
-  operator_name: _efficient_attention_forward
+- name: _scaled_dot_product_efficient_attention
+  operator_name: _scaled_dot_product_efficient_attention
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_efficient_attention_forward(Tensor query, Tensor key, Tensor value, Tensor? cu_seqlens_q, Tensor? cu_seqlens_k, int? max_seqlen_q, bool compute_log_sumexp=False, bool causal=False) -> (Tensor, Tensor)
+  schema_string: aten::_scaled_dot_product_efficient_attention(Tensor query, Tensor key, Tensor value, Tensor? attn_bias, bool compute_log_sumexp, float dropout_p=0.0, bool is_causal=False, *, float? scale=None) -> (Tensor output, Tensor log_sumexp, Tensor philox_seed, Tensor philox_offset)
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -152541,31 +160517,33 @@
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
-    name: cu_seqlens_q
-    type: const c10::optional<at::Tensor> &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: true
-    name: cu_seqlens_k
-    type: const c10::optional<at::Tensor> &
-  - annotation: null
-    dynamic_type: int64_t
-    is_nullable: true
-    name: max_seqlen_q
-    type: c10::optional<int64_t>
+    name: attn_bias
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
-    default: false
     dynamic_type: bool
     is_nullable: false
     name: compute_log_sumexp
     type: bool
+  - annotation: null
+    default: 0.0
+    dynamic_type: double
+    is_nullable: false
+    name: dropout_p
+    type: double
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
-    name: causal
+    name: is_causal
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, c10::optional<int64_t>, bool, bool)
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, bool, double, bool, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -152585,30 +160563,32 @@
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
-    name: cu_seqlens_q
-    type: const c10::optional<at::Tensor> &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: true
-    name: cu_seqlens_k
-    type: const c10::optional<at::Tensor> &
-  - annotation: null
-    dynamic_type: int64_t
-    is_nullable: true
-    name: max_seqlen_q
-    type: c10::optional<int64_t>
+    name: attn_bias
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
-    default: false
     dynamic_type: bool
     is_nullable: false
     name: compute_log_sumexp
     type: bool
+  - annotation: null
+    default: 0.0
+    dynamic_type: double
+    is_nullable: false
+    name: dropout_p
+    type: double
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
-    name: causal
+    name: is_causal
     type: bool
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -152616,10 +160596,20 @@
   python_module: ''
   returns:
   - dynamic_type: at::Tensor
-    name: result0
+    field_name: output
+    name: output
     type: at::Tensor
   - dynamic_type: at::Tensor
-    name: result1
+    field_name: log_sumexp
+    name: log_sumexp
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    field_name: philox_seed
+    name: philox_seed
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    field_name: philox_offset
+    name: philox_offset
     type: at::Tensor
   inplace: false
   is_factory_method: false
@@ -152628,12 +160618,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _efficient_attention_backward
-  operator_name: _efficient_attention_backward
+- name: _scaled_dot_product_efficient_attention_backward
+  operator_name: _scaled_dot_product_efficient_attention_backward
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_efficient_attention_backward(Tensor grad_out_, Tensor query, Tensor key, Tensor value, Tensor out, Tensor logsumexp, bool is_causal=False, bool chunk_grad_outputs=False) -> (Tensor, Tensor, Tensor)
+  schema_string: aten::_scaled_dot_product_efficient_attention_backward(Tensor grad_out_, Tensor query, Tensor key, Tensor value, Tensor attn_bias, Tensor out, Tensor logsumexp, Tensor philox_seed, Tensor philox_offset, float dropout_p, bool[4] grad_input_mask, bool is_causal=False, *, float? scale=None) -> (Tensor, Tensor, Tensor, Tensor)
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -152655,6 +160645,11 @@
     is_nullable: false
     name: value
     type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: attn_bias
+    type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -152666,18 +160661,39 @@
     name: logsumexp
     type: const at::Tensor &
   - annotation: null
-    default: false
-    dynamic_type: bool
+    dynamic_type: at::Tensor
     is_nullable: false
-    name: is_causal
-    type: bool
+    name: philox_seed
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: philox_offset
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: dropout_p
+    type: double
+  - annotation: null
+    dynamic_type: ::std::array<bool,4>
+    is_nullable: false
+    name: grad_input_mask
+    type: ::std::array<bool,4>
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
-    name: chunk_grad_outputs
+    name: is_causal
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, bool, bool)
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, double, ::std::array<bool,4>, bool, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -152699,6 +160715,11 @@
     is_nullable: false
     name: value
     type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: attn_bias
+    type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -152710,17 +160731,38 @@
     name: logsumexp
     type: const at::Tensor &
   - annotation: null
-    default: false
-    dynamic_type: bool
+    dynamic_type: at::Tensor
     is_nullable: false
-    name: is_causal
-    type: bool
+    name: philox_seed
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: philox_offset
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: dropout_p
+    type: double
+  - annotation: null
+    dynamic_type: ::std::array<bool,4>
+    is_nullable: false
+    name: grad_input_mask
+    type: ::std::array<bool,4>
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
-    name: chunk_grad_outputs
+    name: is_causal
     type: bool
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -152736,6 +160778,9 @@
   - dynamic_type: at::Tensor
     name: result2
     type: at::Tensor
+  - dynamic_type: at::Tensor
+    name: result3
+    type: at::Tensor
   inplace: false
   is_factory_method: false
   abstract: true
@@ -152743,57 +160788,115 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _triton_scaled_dot_attention
-  operator_name: _triton_scaled_dot_attention
+- name: _scaled_dot_product_cudnn_attention
+  operator_name: _scaled_dot_product_cudnn_attention
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_triton_scaled_dot_attention(Tensor q, Tensor k, Tensor v, float dropout_p=0.0) -> Tensor
+  schema_string: aten::_scaled_dot_product_cudnn_attention(Tensor query, Tensor key, Tensor value, Tensor? attn_bias, bool compute_log_sumexp, float dropout_p=0.0, bool is_causal=False, bool return_debug_mask=False, *, float? scale=None) -> (Tensor output, Tensor logsumexp, Tensor cum_seq_q, Tensor cum_seq_k, SymInt max_q, SymInt max_k, Tensor philox_seed, Tensor philox_offset, Tensor debug_attn_mask)
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: q
+    name: query
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: k
+    name: key
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: v
+    name: value
     type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: attn_bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    name: compute_log_sumexp
+    type: bool
   - annotation: null
     default: 0.0
     dynamic_type: double
     is_nullable: false
     name: dropout_p
     type: double
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, double)
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: is_causal
+    type: bool
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: return_debug_mask
+    type: bool
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,c10::SymInt,c10::SymInt,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, bool, double, bool, bool, ::std::optional<double>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: q
+    name: query
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: k
+    name: key
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: v
+    name: value
     type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: attn_bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    name: compute_log_sumexp
+    type: bool
   - annotation: null
     default: 0.0
     dynamic_type: double
     is_nullable: false
     name: dropout_p
     type: double
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: is_causal
+    type: bool
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: return_debug_mask
+    type: bool
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -152801,7 +160904,40 @@
   python_module: ''
   returns:
   - dynamic_type: at::Tensor
-    name: result
+    field_name: output
+    name: output
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    field_name: logsumexp
+    name: logsumexp
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    field_name: cum_seq_q
+    name: cum_seq_q
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    field_name: cum_seq_k
+    name: cum_seq_k
+    type: at::Tensor
+  - dynamic_type: int64_t
+    field_name: max_q
+    name: max_q
+    type: c10::SymInt
+  - dynamic_type: int64_t
+    field_name: max_k
+    name: max_k
+    type: c10::SymInt
+  - dynamic_type: at::Tensor
+    field_name: philox_seed
+    name: philox_seed
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    field_name: philox_offset
+    name: philox_offset
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    field_name: debug_attn_mask
+    name: debug_attn_mask
     type: at::Tensor
   inplace: false
   is_factory_method: false
@@ -152810,13 +160946,18 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _triton_multi_head_attention
-  operator_name: _triton_multi_head_attention
+- name: _scaled_dot_product_cudnn_attention_backward
+  operator_name: _scaled_dot_product_cudnn_attention_backward
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_triton_multi_head_attention(Tensor query, Tensor key, Tensor value, int embed_dim, int num_head, Tensor qkv_weight, Tensor qkv_bias, Tensor proj_weight, Tensor proj_bias, Tensor? mask=None) -> Tensor
+  schema_string: aten::_scaled_dot_product_cudnn_attention_backward(Tensor grad_out, Tensor query, Tensor key, Tensor value, Tensor out, Tensor logsumexp, Tensor philox_seed, Tensor philox_offset, Tensor attn_bias, Tensor cum_seq_q, Tensor cum_seq_k, SymInt max_q, SymInt max_k, float dropout_p, bool is_causal, *, float? scale=None) -> (Tensor, Tensor, Tensor)
   arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: grad_out
+    type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -152833,43 +160974,74 @@
     name: value
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: at::Tensor
     is_nullable: false
-    name: embed_dim
-    type: int64_t
+    name: out
+    type: const at::Tensor &
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: at::Tensor
     is_nullable: false
-    name: num_head
-    type: int64_t
+    name: logsumexp
+    type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: qkv_weight
+    name: philox_seed
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: qkv_bias
+    name: philox_offset
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: proj_weight
+    name: attn_bias
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: proj_bias
+    name: cum_seq_q
     type: const at::Tensor &
   - annotation: null
-    default: '{}'
     dynamic_type: at::Tensor
+    is_nullable: false
+    name: cum_seq_k
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: max_q
+    type: int64_t
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: max_k
+    type: int64_t
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: dropout_p
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    name: is_causal
+    type: bool
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
     is_nullable: true
-    name: mask
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, int64_t, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &)
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, int64_t, double, bool, ::std::optional<double>)
   schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: grad_out
+    type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -152886,41 +161058,67 @@
     name: value
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: at::Tensor
     is_nullable: false
-    name: embed_dim
-    type: int64_t
+    name: out
+    type: const at::Tensor &
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: at::Tensor
     is_nullable: false
-    name: num_head
-    type: int64_t
+    name: logsumexp
+    type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: qkv_weight
+    name: philox_seed
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: qkv_bias
+    name: philox_offset
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: proj_weight
+    name: attn_bias
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: proj_bias
+    name: cum_seq_q
     type: const at::Tensor &
   - annotation: null
-    default: '{}'
     dynamic_type: at::Tensor
+    is_nullable: false
+    name: cum_seq_k
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: max_q
+    type: int64_t
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: max_k
+    type: int64_t
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: dropout_p
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    name: is_causal
+    type: bool
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
     is_nullable: true
-    name: mask
-    type: const c10::optional<at::Tensor> &
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
   method_of:
   - Type
   - namespace
@@ -152928,7 +161126,13 @@
   python_module: ''
   returns:
   - dynamic_type: at::Tensor
-    name: result
+    name: result0
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    name: result1
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    name: result2
     type: at::Tensor
   inplace: false
   is_factory_method: false
@@ -152937,315 +161141,409 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: special_airy_ai
-  operator_name: special_airy_ai
+- name: _flash_attention_forward
+  operator_name: _flash_attention_forward
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::special_airy_ai(Tensor x) -> Tensor
+  schema_string: aten::_flash_attention_forward(Tensor query, Tensor key, Tensor value, Tensor? cum_seq_q, Tensor? cum_seq_k, SymInt max_q, SymInt max_k, float dropout_p, bool is_causal, bool return_debug_mask, *, float? scale=None, SymInt? window_size_left=None, SymInt? window_size_right=None, Tensor? seqused_k=None, Tensor? alibi_slopes=None) -> (Tensor output, Tensor softmax_logsumexp, Tensor philox_seed, Tensor philox_offset, Tensor debug_attn_mask)
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: x
+    name: query
     type: const at::Tensor &
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &)
-  schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: x
+    name: key
     type: const at::Tensor &
-  method_of:
-  - Type
-  - namespace
-  mode: native
-  python_module: special
-  returns:
-  - dynamic_type: at::Tensor
-    name: result
-    type: at::Tensor
-  inplace: false
-  is_factory_method: false
-  abstract: true
-  device_guard: true
-  with_gil: false
-  deprecated: false
-  has_math_kernel: false
-- name: special_airy_ai_out
-  operator_name: special_airy_ai
-  overload_name: out
-  manual_kernel_registration: false
-  category_override: ''
-  schema_string: aten::special_airy_ai.out(Tensor x, *, Tensor(a!) out) -> Tensor(a!)
-  arguments:
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: x
+    name: value
     type: const at::Tensor &
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::Tensor &)
-  schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
-    is_nullable: false
-    name: x
-    type: const at::Tensor &
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
-  method_of:
-  - Type
-  - namespace
-  mode: native
-  python_module: special
-  returns:
-  - dynamic_type: at::Tensor
-    name: out
-    type: at::Tensor &
-  inplace: false
-  is_factory_method: false
-  abstract: true
-  device_guard: true
-  with_gil: false
-  deprecated: false
-  has_math_kernel: false
-- name: _transformer_decoder_only_layer_fwd
-  operator_name: _transformer_decoder_only_layer_fwd
-  overload_name: ''
-  manual_kernel_registration: false
-  category_override: ''
-  schema_string: aten::_transformer_decoder_only_layer_fwd(Tensor src, int embed_dim, int num_heads, Tensor qkv_weight, Tensor qkv_bias, Tensor proj_weight, Tensor proj_bias, bool use_gelu, bool norm_first, float eps, Tensor norm_weight_1, Tensor norm_bias_1, Tensor norm_weight_2, Tensor norm_bias_2, Tensor ffn_weight_1, Tensor ffn_bias_1, Tensor ffn_weight_2, Tensor ffn_bias_2, Tensor? mask=None, Tensor? incr_key=None, Tensor? incr_value=None) -> (Tensor, Tensor, Tensor)
-  arguments:
+    is_nullable: true
+    name: cum_seq_q
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
-    is_nullable: false
-    name: src
-    type: const at::Tensor &
+    is_nullable: true
+    name: cum_seq_k
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
-    name: embed_dim
+    name: max_q
     type: int64_t
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
-    name: num_heads
+    name: max_k
     type: int64_t
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: dropout_p
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    name: is_causal
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    name: return_debug_mask
+    type: bool
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    kwarg_only: true
+    name: window_size_left
+    type: ::std::optional<int64_t>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    kwarg_only: true
+    name: window_size_right
+    type: ::std::optional<int64_t>
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: seqused_k
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: alibi_slopes
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, int64_t, int64_t, double, bool, bool, ::std::optional<double>, ::std::optional<int64_t>, ::std::optional<int64_t>, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
+  schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: qkv_weight
+    name: query
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: qkv_bias
+    name: key
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: proj_weight
+    name: value
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
+    is_nullable: true
+    name: cum_seq_q
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: cum_seq_k
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: int64_t
     is_nullable: false
-    name: proj_bias
-    type: const at::Tensor &
+    name: max_q
+    type: int64_t
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: max_k
+    type: int64_t
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: dropout_p
+    type: double
   - annotation: null
     dynamic_type: bool
     is_nullable: false
-    name: use_gelu
+    name: is_causal
     type: bool
   - annotation: null
     dynamic_type: bool
     is_nullable: false
-    name: norm_first
+    name: return_debug_mask
     type: bool
   - annotation: null
+    default: ::std::nullopt
     dynamic_type: double
-    is_nullable: false
-    name: eps
-    type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    kwarg_only: true
+    name: window_size_left
+    type: ::std::optional<int64_t>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    kwarg_only: true
+    name: window_size_right
+    type: ::std::optional<int64_t>
   - annotation: null
+    default: '{}'
     dynamic_type: at::Tensor
-    is_nullable: false
-    name: norm_weight_1
-    type: const at::Tensor &
+    is_nullable: true
+    kwarg_only: true
+    name: seqused_k
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
+    default: '{}'
     dynamic_type: at::Tensor
-    is_nullable: false
-    name: norm_bias_1
-    type: const at::Tensor &
+    is_nullable: true
+    kwarg_only: true
+    name: alibi_slopes
+    type: const ::std::optional<at::Tensor> &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    field_name: output
+    name: output
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    field_name: softmax_logsumexp
+    name: softmax_logsumexp
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    field_name: philox_seed
+    name: philox_seed
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    field_name: philox_offset
+    name: philox_offset
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    field_name: debug_attn_mask
+    name: debug_attn_mask
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _flash_attention_backward
+  operator_name: _flash_attention_backward
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_flash_attention_backward(Tensor grad_out, Tensor query, Tensor key, Tensor value, Tensor out, Tensor logsumexp, Tensor cum_seq_q, Tensor cum_seq_k, SymInt max_q, SymInt max_k, float dropout_p, bool is_causal, Tensor philox_seed, Tensor philox_offset, *, float? scale=None, SymInt? window_size_left=None, SymInt? window_size_right=None) -> (Tensor, Tensor, Tensor)
+  arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: norm_weight_2
+    name: grad_out
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: norm_bias_2
+    name: query
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: ffn_weight_1
+    name: key
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: ffn_bias_1
+    name: value
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: ffn_weight_2
+    name: out
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: ffn_bias_2
+    name: logsumexp
     type: const at::Tensor &
   - annotation: null
-    default: '{}'
-    dynamic_type: at::Tensor
-    is_nullable: true
-    name: mask
-    type: const c10::optional<at::Tensor> &
-  - annotation: null
-    default: '{}'
-    dynamic_type: at::Tensor
-    is_nullable: true
-    name: incr_key
-    type: const c10::optional<at::Tensor> &
-  - annotation: null
-    default: '{}'
     dynamic_type: at::Tensor
-    is_nullable: true
-    name: incr_value
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, int64_t, int64_t, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, bool, bool, double, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &)
-  schema_order_arguments:
+    is_nullable: false
+    name: cum_seq_q
+    type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: src
+    name: cum_seq_k
     type: const at::Tensor &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
-    name: embed_dim
+    name: max_q
     type: int64_t
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
-    name: num_heads
+    name: max_k
     type: int64_t
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: double
     is_nullable: false
-    name: qkv_weight
-    type: const at::Tensor &
+    name: dropout_p
+    type: double
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: bool
     is_nullable: false
-    name: qkv_bias
-    type: const at::Tensor &
+    name: is_causal
+    type: bool
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: proj_weight
+    name: philox_seed
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: proj_bias
+    name: philox_offset
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    name: use_gelu
-    type: bool
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
   - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    name: norm_first
-    type: bool
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    kwarg_only: true
+    name: window_size_left
+    type: ::std::optional<int64_t>
   - annotation: null
-    dynamic_type: double
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    kwarg_only: true
+    name: window_size_right
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, int64_t, double, bool, const at::Tensor &, const at::Tensor &, ::std::optional<double>, ::std::optional<int64_t>, ::std::optional<int64_t>)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
     is_nullable: false
-    name: eps
-    type: double
+    name: grad_out
+    type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: norm_weight_1
+    name: query
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: norm_bias_1
+    name: key
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: norm_weight_2
+    name: value
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: norm_bias_2
+    name: out
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: ffn_weight_1
+    name: logsumexp
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: ffn_bias_1
+    name: cum_seq_q
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: ffn_weight_2
+    name: cum_seq_k
     type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: max_q
+    type: int64_t
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: max_k
+    type: int64_t
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: dropout_p
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    name: is_causal
+    type: bool
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: ffn_bias_2
+    name: philox_seed
     type: const at::Tensor &
   - annotation: null
-    default: '{}'
     dynamic_type: at::Tensor
+    is_nullable: false
+    name: philox_offset
+    type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
     is_nullable: true
-    name: mask
-    type: const c10::optional<at::Tensor> &
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
   - annotation: null
-    default: '{}'
-    dynamic_type: at::Tensor
+    default: ::std::nullopt
+    dynamic_type: int64_t
     is_nullable: true
-    name: incr_key
-    type: const c10::optional<at::Tensor> &
+    kwarg_only: true
+    name: window_size_left
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: '{}'
-    dynamic_type: at::Tensor
+    default: ::std::nullopt
+    dynamic_type: int64_t
     is_nullable: true
-    name: incr_value
-    type: const c10::optional<at::Tensor> &
+    kwarg_only: true
+    name: window_size_right
+    type: ::std::optional<int64_t>
   method_of:
   - Type
   - namespace
@@ -153268,12 +161566,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _native_decoder_only_multi_head_attention
-  operator_name: _native_decoder_only_multi_head_attention
+- name: _efficient_attention_forward
+  operator_name: _efficient_attention_forward
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_native_decoder_only_multi_head_attention(Tensor query, Tensor key, Tensor value, int embed_dim, int num_head, Tensor qkv_weight, Tensor qkv_bias, Tensor proj_weight, Tensor proj_bias, Tensor? mask=None, Tensor? incr_key=None, Tensor? incr_value=None, bool need_weights=True, bool average_attn_weights=True) -> (Tensor, Tensor, Tensor, Tensor)
+  schema_string: aten::_efficient_attention_forward(Tensor query, Tensor key, Tensor value, Tensor? bias, Tensor? cu_seqlens_q, Tensor? cu_seqlens_k, SymInt? max_seqlen_q, SymInt? max_seqlen_k, float dropout_p, int custom_mask_type, bool compute_log_sumexp=False, *, float? scale=None, Tensor? seqlen_k=None, int? window_size=None) -> (Tensor output, Tensor logsumexp, Tensor philox_seed, Tensor philox_offset, SymInt max_seqlen_batch_q, SymInt max_seqlen_batch_k)
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -153290,68 +161588,196 @@
     is_nullable: false
     name: value
     type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: cu_seqlens_q
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: cu_seqlens_k
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: true
+    name: max_seqlen_q
+    type: ::std::optional<int64_t>
   - annotation: null
     dynamic_type: int64_t
+    is_nullable: true
+    name: max_seqlen_k
+    type: ::std::optional<int64_t>
+  - annotation: null
+    dynamic_type: double
     is_nullable: false
-    name: embed_dim
-    type: int64_t
+    name: dropout_p
+    type: double
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
-    name: num_head
+    name: custom_mask_type
     type: int64_t
   - annotation: null
-    dynamic_type: at::Tensor
+    default: false
+    dynamic_type: bool
     is_nullable: false
-    name: qkv_weight
-    type: const at::Tensor &
+    name: compute_log_sumexp
+    type: bool
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: seqlen_k
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    kwarg_only: true
+    name: window_size
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,c10::SymInt,c10::SymInt> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, ::std::optional<int64_t>, ::std::optional<int64_t>, double, int64_t, bool, ::std::optional<double>, const ::std::optional<at::Tensor> &, ::std::optional<int64_t>)
+  schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: qkv_bias
+    name: query
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: proj_weight
+    name: key
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: proj_bias
+    name: value
     type: const at::Tensor &
   - annotation: null
-    default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
-    name: mask
-    type: const c10::optional<at::Tensor> &
+    name: bias
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
-    default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
-    name: incr_key
-    type: const c10::optional<at::Tensor> &
+    name: cu_seqlens_q
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
-    default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
-    name: incr_value
-    type: const c10::optional<at::Tensor> &
+    name: cu_seqlens_k
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
-    default: true
-    dynamic_type: bool
+    dynamic_type: int64_t
+    is_nullable: true
+    name: max_seqlen_q
+    type: ::std::optional<int64_t>
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: true
+    name: max_seqlen_k
+    type: ::std::optional<int64_t>
+  - annotation: null
+    dynamic_type: double
     is_nullable: false
-    name: need_weights
-    type: bool
+    name: dropout_p
+    type: double
   - annotation: null
-    default: true
+    dynamic_type: int64_t
+    is_nullable: false
+    name: custom_mask_type
+    type: int64_t
+  - annotation: null
+    default: false
     dynamic_type: bool
     is_nullable: false
-    name: average_attn_weights
+    name: compute_log_sumexp
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, int64_t, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, bool, bool)
-  schema_order_arguments:
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: seqlen_k
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    kwarg_only: true
+    name: window_size
+    type: ::std::optional<int64_t>
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    field_name: output
+    name: output
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    field_name: logsumexp
+    name: logsumexp
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    field_name: philox_seed
+    name: philox_seed
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    field_name: philox_offset
+    name: philox_offset
+    type: at::Tensor
+  - dynamic_type: int64_t
+    field_name: max_seqlen_batch_q
+    name: max_seqlen_batch_q
+    type: c10::SymInt
+  - dynamic_type: int64_t
+    field_name: max_seqlen_batch_k
+    name: max_seqlen_batch_k
+    type: c10::SymInt
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _efficient_attention_backward
+  operator_name: _efficient_attention_backward
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_efficient_attention_backward(Tensor grad_out_, Tensor query, Tensor key, Tensor value, Tensor? bias, Tensor out, Tensor? cu_seqlens_q, Tensor? cu_seqlens_k, SymInt max_seqlen_q, SymInt max_seqlen_k, Tensor logsumexp, float dropout_p, Tensor philox_seed, Tensor philox_offset, int custom_mask_type, bool bias_requires_grad, *, float? scale=None, int? num_splits_key=None, int? window_size=None, bool shared_storage_dqdkdv=False) -> (Tensor, Tensor, Tensor, Tensor)
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: grad_out_
+    type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -153367,65 +161793,203 @@
     is_nullable: false
     name: value
     type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: cu_seqlens_q
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: cu_seqlens_k
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
-    name: embed_dim
+    name: max_seqlen_q
     type: int64_t
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
-    name: num_head
+    name: max_seqlen_k
     type: int64_t
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: qkv_weight
+    name: logsumexp
     type: const at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: dropout_p
+    type: double
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: qkv_bias
+    name: philox_seed
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: proj_weight
+    name: philox_offset
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: custom_mask_type
+    type: int64_t
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    name: bias_requires_grad
+    type: bool
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    kwarg_only: true
+    name: num_splits_key
+    type: ::std::optional<int64_t>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    kwarg_only: true
+    name: window_size
+    type: ::std::optional<int64_t>
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: shared_storage_dqdkdv
+    type: bool
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, int64_t, int64_t, const at::Tensor &, double, const at::Tensor &, const at::Tensor &, int64_t, bool, ::std::optional<double>, ::std::optional<int64_t>, ::std::optional<int64_t>, bool)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: grad_out_
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: proj_bias
+    name: query
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: key
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: value
     type: const at::Tensor &
   - annotation: null
-    default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
-    name: mask
-    type: const c10::optional<at::Tensor> &
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    type: const at::Tensor &
   - annotation: null
-    default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
-    name: incr_key
-    type: const c10::optional<at::Tensor> &
+    name: cu_seqlens_q
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
-    default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
-    name: incr_value
-    type: const c10::optional<at::Tensor> &
+    name: cu_seqlens_k
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: max_seqlen_q
+    type: int64_t
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: max_seqlen_k
+    type: int64_t
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: logsumexp
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: dropout_p
+    type: double
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: philox_seed
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: philox_offset
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: custom_mask_type
+    type: int64_t
   - annotation: null
-    default: true
     dynamic_type: bool
     is_nullable: false
-    name: need_weights
+    name: bias_requires_grad
     type: bool
   - annotation: null
-    default: true
+    default: ::std::nullopt
+    dynamic_type: double
+    is_nullable: true
+    kwarg_only: true
+    name: scale
+    type: ::std::optional<double>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    kwarg_only: true
+    name: num_splits_key
+    type: ::std::optional<int64_t>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: int64_t
+    is_nullable: true
+    kwarg_only: true
+    name: window_size
+    type: ::std::optional<int64_t>
+  - annotation: null
+    default: false
     dynamic_type: bool
     is_nullable: false
-    name: average_attn_weights
+    kwarg_only: true
+    name: shared_storage_dqdkdv
     type: bool
   method_of:
   - Type
@@ -153452,6 +162016,349 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: _triton_scaled_dot_attention
+  operator_name: _triton_scaled_dot_attention
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_triton_scaled_dot_attention(Tensor q, Tensor k, Tensor v, float dropout_p=0.0) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: q
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: k
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: v
+    type: const at::Tensor &
+  - annotation: null
+    default: 0.0
+    dynamic_type: double
+    is_nullable: false
+    name: dropout_p
+    type: double
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, double)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: q
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: k
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: v
+    type: const at::Tensor &
+  - annotation: null
+    default: 0.0
+    dynamic_type: double
+    is_nullable: false
+    name: dropout_p
+    type: double
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _fill_mem_eff_dropout_mask_
+  operator_name: _fill_mem_eff_dropout_mask_
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_fill_mem_eff_dropout_mask_(Tensor(a!) self, float dropout_p, int seed, int offset) -> Tensor(a!)
+  arguments:
+  - annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: dropout_p
+    type: double
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: seed
+    type: int64_t
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: offset
+    type: int64_t
+  schema_order_cpp_signature: at::Tensor & (at::Tensor &, double, int64_t, int64_t)
+  schema_order_arguments:
+  - annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: dropout_p
+    type: double
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: seed
+    type: int64_t
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: offset
+    type: int64_t
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: self
+    type: at::Tensor &
+  inplace: true
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _triton_multi_head_attention
+  operator_name: _triton_multi_head_attention
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_triton_multi_head_attention(Tensor query, Tensor key, Tensor value, int embed_dim, int num_head, Tensor qkv_weight, Tensor qkv_bias, Tensor proj_weight, Tensor proj_bias, Tensor? mask=None) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: query
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: key
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: value
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: embed_dim
+    type: int64_t
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: num_head
+    type: int64_t
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: qkv_weight
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: qkv_bias
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: proj_weight
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: proj_bias
+    type: const at::Tensor &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: mask
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, int64_t, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: query
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: key
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: value
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: embed_dim
+    type: int64_t
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: num_head
+    type: int64_t
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: qkv_weight
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: qkv_bias
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: proj_weight
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: proj_bias
+    type: const at::Tensor &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: mask
+    type: const ::std::optional<at::Tensor> &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: special_airy_ai
+  operator_name: special_airy_ai
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::special_airy_ai(Tensor x) -> Tensor
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: x
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: x
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: special
+  returns:
+  - dynamic_type: at::Tensor
+    name: result
+    type: at::Tensor
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: special_airy_ai_out
+  operator_name: special_airy_ai
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::special_airy_ai.out(Tensor x, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: x
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: x
+    type: const at::Tensor &
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: special
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: special_bessel_j0
   operator_name: special_bessel_j0
   overload_name: ''
@@ -153873,11 +162780,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_chebyshev_polynomial_t
   operator_name: special_chebyshev_polynomial_t
   overload_name: n_scalar
@@ -153918,11 +162825,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_chebyshev_polynomial_t_out
   operator_name: special_chebyshev_polynomial_t
   overload_name: out
@@ -154036,11 +162943,11 @@
     type: at::Tensor &
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_chebyshev_polynomial_t_out
   operator_name: special_chebyshev_polynomial_t
   overload_name: n_scalar_out
@@ -154185,11 +163092,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_chebyshev_polynomial_u
   operator_name: special_chebyshev_polynomial_u
   overload_name: n_scalar
@@ -154230,11 +163137,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_chebyshev_polynomial_u_out
   operator_name: special_chebyshev_polynomial_u
   overload_name: out
@@ -154348,11 +163255,11 @@
     type: at::Tensor &
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_chebyshev_polynomial_u_out
   operator_name: special_chebyshev_polynomial_u
   overload_name: n_scalar_out
@@ -154497,11 +163404,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_chebyshev_polynomial_v
   operator_name: special_chebyshev_polynomial_v
   overload_name: n_scalar
@@ -154542,11 +163449,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_chebyshev_polynomial_v_out
   operator_name: special_chebyshev_polynomial_v
   overload_name: out
@@ -154660,11 +163567,11 @@
     type: at::Tensor &
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_chebyshev_polynomial_v_out
   operator_name: special_chebyshev_polynomial_v
   overload_name: n_scalar_out
@@ -154809,11 +163716,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_chebyshev_polynomial_w
   operator_name: special_chebyshev_polynomial_w
   overload_name: n_scalar
@@ -154854,11 +163761,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_chebyshev_polynomial_w_out
   operator_name: special_chebyshev_polynomial_w
   overload_name: out
@@ -154972,11 +163879,11 @@
     type: at::Tensor &
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_chebyshev_polynomial_w_out
   operator_name: special_chebyshev_polynomial_w
   overload_name: n_scalar_out
@@ -155121,11 +164028,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_hermite_polynomial_h
   operator_name: special_hermite_polynomial_h
   overload_name: n_scalar
@@ -155166,11 +164073,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_hermite_polynomial_h_out
   operator_name: special_hermite_polynomial_h
   overload_name: out
@@ -155284,11 +164191,11 @@
     type: at::Tensor &
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_hermite_polynomial_h_out
   operator_name: special_hermite_polynomial_h
   overload_name: n_scalar_out
@@ -155433,11 +164340,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_hermite_polynomial_he
   operator_name: special_hermite_polynomial_he
   overload_name: n_scalar
@@ -155478,11 +164385,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_hermite_polynomial_he_out
   operator_name: special_hermite_polynomial_he
   overload_name: out
@@ -155596,11 +164503,11 @@
     type: at::Tensor &
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_hermite_polynomial_he_out
   operator_name: special_hermite_polynomial_he
   overload_name: n_scalar_out
@@ -155745,11 +164652,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_laguerre_polynomial_l
   operator_name: special_laguerre_polynomial_l
   overload_name: n_scalar
@@ -155790,11 +164697,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_laguerre_polynomial_l_out
   operator_name: special_laguerre_polynomial_l
   overload_name: out
@@ -155908,11 +164815,11 @@
     type: at::Tensor &
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_laguerre_polynomial_l_out
   operator_name: special_laguerre_polynomial_l
   overload_name: n_scalar_out
@@ -156057,11 +164964,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_legendre_polynomial_p
   operator_name: special_legendre_polynomial_p
   overload_name: n_scalar
@@ -156102,11 +165009,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_legendre_polynomial_p_out
   operator_name: special_legendre_polynomial_p
   overload_name: out
@@ -156220,11 +165127,11 @@
     type: at::Tensor &
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_legendre_polynomial_p_out
   operator_name: special_legendre_polynomial_p
   overload_name: n_scalar_out
@@ -156873,11 +165780,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_shifted_chebyshev_polynomial_t
   operator_name: special_shifted_chebyshev_polynomial_t
   overload_name: n_scalar
@@ -156918,11 +165825,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_shifted_chebyshev_polynomial_t_out
   operator_name: special_shifted_chebyshev_polynomial_t
   overload_name: out
@@ -157036,11 +165943,11 @@
     type: at::Tensor &
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_shifted_chebyshev_polynomial_t_out
   operator_name: special_shifted_chebyshev_polynomial_t
   overload_name: n_scalar_out
@@ -157185,11 +166092,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_shifted_chebyshev_polynomial_u
   operator_name: special_shifted_chebyshev_polynomial_u
   overload_name: n_scalar
@@ -157230,11 +166137,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_shifted_chebyshev_polynomial_u_out
   operator_name: special_shifted_chebyshev_polynomial_u
   overload_name: out
@@ -157348,11 +166255,11 @@
     type: at::Tensor &
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_shifted_chebyshev_polynomial_u_out
   operator_name: special_shifted_chebyshev_polynomial_u
   overload_name: n_scalar_out
@@ -157497,11 +166404,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_shifted_chebyshev_polynomial_v
   operator_name: special_shifted_chebyshev_polynomial_v
   overload_name: n_scalar
@@ -157542,11 +166449,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_shifted_chebyshev_polynomial_v_out
   operator_name: special_shifted_chebyshev_polynomial_v
   overload_name: out
@@ -157660,11 +166567,11 @@
     type: at::Tensor &
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_shifted_chebyshev_polynomial_v_out
   operator_name: special_shifted_chebyshev_polynomial_v
   overload_name: n_scalar_out
@@ -157809,11 +166716,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_shifted_chebyshev_polynomial_w
   operator_name: special_shifted_chebyshev_polynomial_w
   overload_name: n_scalar
@@ -157854,11 +166761,11 @@
     type: at::Tensor
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_shifted_chebyshev_polynomial_w_out
   operator_name: special_shifted_chebyshev_polynomial_w
   overload_name: out
@@ -157972,11 +166879,11 @@
     type: at::Tensor &
   inplace: false
   is_factory_method: false
-  abstract: false
+  abstract: true
   device_guard: true
   with_gil: false
   deprecated: false
-  has_math_kernel: true
+  has_math_kernel: false
 - name: special_shifted_chebyshev_polynomial_w_out
   operator_name: special_shifted_chebyshev_polynomial_w
   overload_name: n_scalar_out
@@ -158278,15 +167185,15 @@
     is_nullable: true
     kwarg_only: true
     name: grad_scale
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: found_inf
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, double, double, double, double, double, bool, bool, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, double, double, double, double, double, bool, bool, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -158366,14 +167273,208 @@
     is_nullable: true
     kwarg_only: true
     name: grad_scale
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: true
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _fused_adam_
+  operator_name: _fused_adam_
+  overload_name: tensor_lr
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_fused_adam_.tensor_lr(Tensor(a!)[] self, Tensor(b!)[] grads, Tensor(c!)[] exp_avgs, Tensor(d!)[] exp_avg_sqs, Tensor(e!)[] max_exp_avg_sqs, Tensor[] state_steps, *, Tensor lr, float beta1, float beta2, float weight_decay, float eps, bool amsgrad, bool maximize, Tensor? grad_scale=None, Tensor? found_inf=None) -> ()
+  arguments:
+  - annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: b!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: c!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avgs
+    type: at::TensorList
+  - annotation: d!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avg_sqs
+    type: at::TensorList
+  - annotation: e!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: max_exp_avg_sqs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: state_steps
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta1
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta2
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: eps
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: amsgrad
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: maximize
+    type: bool
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, const at::Tensor &, double, double, double, double, bool, bool, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
+  schema_order_arguments:
+  - annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: b!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: c!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avgs
+    type: at::TensorList
+  - annotation: d!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avg_sqs
+    type: at::TensorList
+  - annotation: e!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: max_exp_avg_sqs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: state_steps
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta1
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta2
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: eps
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: amsgrad
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: maximize
+    type: bool
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: found_inf
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - namespace
@@ -158472,15 +167573,15 @@
     is_nullable: true
     kwarg_only: true
     name: grad_scale
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: found_inf
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, double, double, double, double, double, bool, bool, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, double, double, double, double, double, bool, bool, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: a!
     dynamic_type: at::TensorList
@@ -158560,14 +167661,14 @@
     is_nullable: true
     kwarg_only: true
     name: grad_scale
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: found_inf
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - namespace
@@ -158581,6 +167682,720 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: _fused_adamw_
+  operator_name: _fused_adamw_
+  overload_name: tensor_lr
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_fused_adamw_.tensor_lr(Tensor(a!)[] self, Tensor(b!)[] grads, Tensor(c!)[] exp_avgs, Tensor(d!)[] exp_avg_sqs, Tensor(e!)[] max_exp_avg_sqs, Tensor[] state_steps, *, Tensor lr, float beta1, float beta2, float weight_decay, float eps, bool amsgrad, bool maximize, Tensor? grad_scale=None, Tensor? found_inf=None) -> ()
+  arguments:
+  - annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: b!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: c!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avgs
+    type: at::TensorList
+  - annotation: d!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avg_sqs
+    type: at::TensorList
+  - annotation: e!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: max_exp_avg_sqs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: state_steps
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta1
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta2
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: eps
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: amsgrad
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: maximize
+    type: bool
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, const at::Tensor &, double, double, double, double, bool, bool, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
+  schema_order_arguments:
+  - annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: b!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: c!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avgs
+    type: at::TensorList
+  - annotation: d!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avg_sqs
+    type: at::TensorList
+  - annotation: e!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: max_exp_avg_sqs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: state_steps
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta1
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta2
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: eps
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: amsgrad
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: maximize
+    type: bool
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: true
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _fused_sgd_
+  operator_name: _fused_sgd_
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_fused_sgd_(Tensor(a!)[] self, Tensor(b!)[] grads, Tensor(c!)[] momentum_buffer_list, *, float weight_decay, float momentum, float lr, float dampening, bool nesterov, bool maximize, bool is_first_step, Tensor? grad_scale=None, Tensor? found_inf=None) -> ()
+  arguments:
+  - annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: b!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: c!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: momentum_buffer_list
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: momentum
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: dampening
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: nesterov
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: maximize
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: is_first_step
+    type: bool
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, double, double, double, double, bool, bool, bool, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
+  schema_order_arguments:
+  - annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: b!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: c!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: momentum_buffer_list
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: momentum
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: dampening
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: nesterov
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: maximize
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: is_first_step
+    type: bool
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: true
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _fused_sgd_
+  operator_name: _fused_sgd_
+  overload_name: tensor_lr
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_fused_sgd_.tensor_lr(Tensor(a!)[] self, Tensor(b!)[] grads, Tensor(c!)[] momentum_buffer_list, *, float weight_decay, float momentum, Tensor lr, float dampening, bool nesterov, bool maximize, bool is_first_step, Tensor? grad_scale=None, Tensor? found_inf=None) -> ()
+  arguments:
+  - annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: b!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: c!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: momentum_buffer_list
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: momentum
+    type: double
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: dampening
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: nesterov
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: maximize
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: is_first_step
+    type: bool
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, double, double, const at::Tensor &, double, bool, bool, bool, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
+  schema_order_arguments:
+  - annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: b!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: c!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: momentum_buffer_list
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: momentum
+    type: double
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: dampening
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: nesterov
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: maximize
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: is_first_step
+    type: bool
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: true
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _fused_adagrad_
+  operator_name: _fused_adagrad_
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_fused_adagrad_(Tensor(a!)[] self, Tensor(b!)[] grads, Tensor(c!)[] state_sums, Tensor(d!)[] state_steps, *, float lr, float lr_decay, float weight_decay, float eps, bool maximize, Tensor? grad_scale=None, Tensor? found_inf=None) -> ()
+  arguments:
+  - annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: b!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: c!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: state_sums
+    type: at::TensorList
+  - annotation: d!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: state_steps
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: lr_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: eps
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: maximize
+    type: bool
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, at::TensorList, double, double, double, double, bool, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
+  schema_order_arguments:
+  - annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: b!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: c!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: state_sums
+    type: at::TensorList
+  - annotation: d!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: state_steps
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: lr_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: eps
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: maximize
+    type: bool
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: true
+  is_factory_method: false
+  abstract: true
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _propagate_xla_data
+  operator_name: _propagate_xla_data
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_propagate_xla_data(Tensor input, Tensor output) -> ()
+  arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: output
+    type: const at::Tensor &
+  schema_order_cpp_signature: void (const at::Tensor &, const at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: output
+    type: const at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: false
+  is_factory_method: false
+  abstract: false
+  device_guard: true
+  with_gil: false
+  deprecated: false
+  has_math_kernel: true
 - name: _new_zeros_with_same_feature_meta_out
   operator_name: _new_zeros_with_same_feature_meta
   overload_name: out
@@ -158970,7 +168785,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight_buf
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -158980,7 +168795,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: cx
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -159030,8 +168845,8 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: dropout_state
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, at::TensorList, int64_t, const c10::optional<at::Tensor> &, const at::Tensor &, const c10::optional<at::Tensor> &, int64_t, int64_t, int64_t, int64_t, bool, double, bool, bool, at::IntArrayRef, const c10::optional<at::Tensor> &, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, at::TensorList, int64_t, const ::std::optional<at::Tensor> &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, int64_t, int64_t, int64_t, bool, double, bool, bool, at::IntArrayRef, const ::std::optional<at::Tensor> &, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -159052,7 +168867,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight_buf
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -159062,7 +168877,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: cx
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -159112,7 +168927,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: dropout_state
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -159240,7 +169055,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: cx
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -159250,17 +169065,17 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_output
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_hy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_cy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -159310,7 +169125,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: dropout_state
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -159321,7 +169136,7 @@
     is_nullable: false
     name: output_mask
     type: ::std::array<bool,4>
-  schema_order_cpp_signature: void (const at::Tensor &, at::TensorList, int64_t, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, int64_t, int64_t, int64_t, int64_t, bool, double, bool, bool, at::IntArrayRef, const c10::optional<at::Tensor> &, const at::Tensor &, ::std::array<bool,4>, at::Tensor &, at::Tensor &, at::Tensor &, at::TensorList)
+  schema_order_cpp_signature: void (const at::Tensor &, at::TensorList, int64_t, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, int64_t, int64_t, int64_t, int64_t, bool, double, bool, bool, at::IntArrayRef, const ::std::optional<at::Tensor> &, const at::Tensor &, ::std::array<bool,4>, at::Tensor &, at::Tensor &, at::Tensor &, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -159352,7 +169167,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: cx
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -159362,17 +169177,17 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_output
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_hy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_cy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -159422,7 +169237,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: dropout_state
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -159575,12 +169390,12 @@
     name: p
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, double, c10::optional<at::Generator>, at::Tensor &, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, double, ::std::optional<at::Generator>, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -159593,11 +169408,11 @@
     name: p
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -159735,8 +169550,8 @@
     dynamic_type: bool
     is_nullable: true
     name: train
-    type: c10::optional<bool>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, double, c10::optional<bool>, at::Tensor &, at::Tensor &)
+    type: ::std::optional<bool>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, double, ::std::optional<bool>, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -159752,7 +169567,7 @@
     dynamic_type: bool
     is_nullable: true
     name: train
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -160051,7 +169866,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::affine_grid_generator.out(Tensor theta, int[] size, bool align_corners, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::affine_grid_generator.out(Tensor theta, SymInt[] size, bool align_corners, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -160115,6 +169930,65 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: _test_functorch_fallback_out
+  operator_name: _test_functorch_fallback
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_test_functorch_fallback.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: other
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: other
+    type: const at::Tensor &
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: bartlett_window_out
   operator_name: bartlett_window
   overload_name: out
@@ -160246,12 +170120,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -160277,7 +170151,7 @@
     is_nullable: false
     name: output_zero_point
     type: int64_t
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, double, double, int64_t, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, double, double, int64_t, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -160288,12 +170162,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -160367,13 +170241,13 @@
     name: p
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -160386,12 +170260,12 @@
     name: p
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -160433,13 +170307,13 @@
     name: p
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -160452,12 +170326,12 @@
     name: p
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - namespace
@@ -160500,13 +170374,13 @@
     name: p
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, double, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, double, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -160520,12 +170394,12 @@
     name: p
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -160578,20 +170452,20 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: pos_weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
     is_nullable: false
     name: reduction
     type: int64_t
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, int64_t, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, int64_t, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -160608,13 +170482,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: pos_weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: at::Reduction::Mean
     dynamic_type: int64_t
@@ -160668,14 +170542,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 0
     dynamic_type: int64_t
     is_nullable: false
     name: minlength
     type: int64_t
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const c10::optional<at::Tensor> &, int64_t, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -160687,7 +170561,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 0
     dynamic_type: int64_t
@@ -160950,7 +170824,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::convolution.out(Tensor input, Tensor weight, Tensor? bias, int[] stride, SymInt[] padding, int[] dilation, bool transposed, SymInt[] output_padding, int groups, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::convolution.out(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -160973,7 +170847,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -161004,7 +170878,7 @@
     is_nullable: false
     name: groups
     type: int64_t
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, at::IntArrayRef, int64_t, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, at::IntArrayRef, int64_t, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -161020,7 +170894,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -161079,7 +170953,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::convolution_backward.out(Tensor grad_output, Tensor input, Tensor weight, SymInt[]? bias_sizes, int[] stride, SymInt[] padding, int[] dilation, bool transposed, SymInt[] output_padding, int groups, bool[3] output_mask, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!))
+  schema_string: aten::convolution_backward.out(Tensor grad_output, Tensor input, Tensor weight, SymInt[]? bias_sizes, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups, bool[3] output_mask, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!))
   arguments:
   - allocate: true
     annotation: a!
@@ -161262,7 +171136,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::convolution_overrideable.out(Tensor input, Tensor weight, Tensor? bias, int[] stride, int[] padding, int[] dilation, bool transposed, int[] output_padding, int groups, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::convolution_overrideable.out(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -161285,7 +171159,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -161316,7 +171190,7 @@
     is_nullable: false
     name: groups
     type: int64_t
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, at::IntArrayRef, int64_t, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, at::IntArrayRef, int64_t, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -161332,7 +171206,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -161391,7 +171265,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::convolution_backward_overrideable.out(Tensor grad_output, Tensor input, Tensor weight, int[] stride, int[] padding, int[] dilation, bool transposed, int[] output_padding, int groups, bool[3] output_mask, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!))
+  schema_string: aten::convolution_backward_overrideable.out(Tensor grad_output, Tensor input, Tensor weight, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups, bool[3] output_mask, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!))
   arguments:
   - allocate: true
     annotation: a!
@@ -161564,7 +171438,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_convolution.out(Tensor input, Tensor weight, Tensor? bias, int[] stride, SymInt[] padding, int[] dilation, bool transposed, SymInt[] output_padding, int groups, bool benchmark, bool deterministic, bool cudnn_enabled, bool allow_tf32, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::_convolution.out(Tensor input, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, bool transposed, SymInt[] output_padding, SymInt groups, bool benchmark, bool deterministic, bool cudnn_enabled, bool allow_tf32, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -161587,7 +171461,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -161638,7 +171512,7 @@
     is_nullable: false
     name: allow_tf32
     type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, at::IntArrayRef, int64_t, bool, bool, bool, bool, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, at::IntArrayRef, int64_t, bool, bool, bool, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -161654,7 +171528,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -162089,12 +171963,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<int64_t>, at::Tensor &)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<int64_t>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -162102,11 +171976,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -162357,17 +172231,17 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -162383,7 +172257,7 @@
     is_nullable: false
     name: epsilon
     type: double
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, bool, double, double, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, bool, double, double, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -162399,17 +172273,17 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -162525,22 +172399,22 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: double
     is_nullable: false
@@ -162551,7 +172425,7 @@
     is_nullable: false
     name: reserveSpace
     type: const at::Tensor &
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, double, const at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, double, const at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -162572,22 +172446,22 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: double
     is_nullable: false
@@ -162641,141 +172515,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: cudnn_convolution_out
-  operator_name: cudnn_convolution
-  overload_name: out
-  manual_kernel_registration: false
-  category_override: ''
-  schema_string: aten::cudnn_convolution.out(Tensor self, Tensor weight, int[] padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic, bool allow_tf32, *, Tensor(a!) out) -> Tensor(a!)
-  arguments:
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: self
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: weight
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: padding
-    type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: stride
-    type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: dilation
-    type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: groups
-    type: int64_t
-  - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    name: benchmark
-    type: bool
-  - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    name: deterministic
-    type: bool
-  - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    name: allow_tf32
-    type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, bool, bool, bool, at::Tensor &)
-  schema_order_arguments:
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: self
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: weight
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: padding
-    type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: stride
-    type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: dilation
-    type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: groups
-    type: int64_t
-  - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    name: benchmark
-    type: bool
-  - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    name: deterministic
-    type: bool
-  - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    name: allow_tf32
-    type: bool
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
-  method_of:
-  - Type
-  - namespace
-  mode: native
-  python_module: ''
-  returns:
-  - dynamic_type: at::Tensor
-    name: out
-    type: at::Tensor &
-  inplace: false
-  is_factory_method: false
-  abstract: true
-  device_guard: false
-  with_gil: false
-  deprecated: false
-  has_math_kernel: false
 - name: cudnn_convolution_transpose_out
   operator_name: cudnn_convolution_transpose
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::cudnn_convolution_transpose.out(Tensor self, Tensor weight, int[] padding, int[] output_padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic, bool allow_tf32, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::cudnn_convolution_transpose.out(Tensor self, Tensor weight, SymInt[] padding, SymInt[] output_padding, SymInt[] stride, SymInt[] dilation, SymInt groups, bool benchmark, bool deterministic, bool allow_tf32, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -162914,7 +172659,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_mps_convolution_transpose.out(Tensor self, Tensor weight, int[] padding, int[] output_padding, int[] stride, int[] dilation, int groups, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::_mps_convolution_transpose.out(Tensor self, Tensor weight, SymInt[] padding, SymInt[] output_padding, SymInt[] stride, SymInt[] dilation, SymInt groups, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -163023,7 +172768,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::mps_convolution_transpose_backward.out(Tensor self, Tensor grad_output, Tensor weight, int[] padding, int[] output_padding, int[] stride, int[] dilation, int groups, bool[2] output_mask, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!))
+  schema_string: aten::mps_convolution_transpose_backward.out(Tensor self, Tensor grad_output, Tensor weight, SymInt[] padding, SymInt[] output_padding, SymInt[] stride, SymInt[] dilation, SymInt groups, bool[2] output_mask, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!))
   arguments:
   - allocate: true
     annotation: a!
@@ -163169,7 +172914,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::cudnn_convolution_relu.out(Tensor self, Tensor weight, Tensor? bias, int[] stride, int[] padding, int[] dilation, int groups, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::cudnn_convolution_relu.out(Tensor self, Tensor weight, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, SymInt groups, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -163192,7 +172937,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -163213,7 +172958,7 @@
     is_nullable: false
     name: groups
     type: int64_t
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -163229,7 +172974,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -163278,7 +173023,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::cudnn_convolution_add_relu.out(Tensor self, Tensor weight, Tensor z, Scalar? alpha, Tensor? bias, int[] stride, int[] padding, int[] dilation, int groups, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::cudnn_convolution_add_relu.out(Tensor self, Tensor weight, Tensor z, Scalar? alpha, Tensor? bias, SymInt[] stride, SymInt[] padding, SymInt[] dilation, SymInt groups, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -163306,12 +173051,12 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: alpha
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -163332,7 +173077,7 @@
     is_nullable: false
     name: groups
     type: int64_t
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Scalar> &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Scalar> &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -163353,12 +173098,12 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: alpha
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -164180,8 +173925,8 @@
     is_nullable: true
     kwarg_only: true
     name: rounding_mode
-    type: c10::optional<c10::string_view>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Scalar &, c10::optional<c10::string_view>, at::Tensor &)
+    type: ::std::optional<c10::string_view>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Scalar &, ::std::optional<c10::string_view>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -164198,7 +173943,7 @@
     is_nullable: true
     kwarg_only: true
     name: rounding_mode
-    type: c10::optional<c10::string_view>
+    type: ::std::optional<c10::string_view>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -164623,7 +174368,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: per_sample_weights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -164636,7 +174381,7 @@
     is_nullable: false
     name: padding_idx
     type: int64_t
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, bool, int64_t, bool, const c10::optional<at::Tensor> &, bool, int64_t, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, bool, int64_t, bool, const ::std::optional<at::Tensor> &, bool, int64_t, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -164676,7 +174421,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: per_sample_weights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -164815,7 +174560,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: per_sample_weights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -164828,7 +174573,7 @@
     is_nullable: false
     name: padding_idx
     type: int64_t
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, bool, int64_t, bool, const c10::optional<at::Tensor> &, bool, int64_t, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, bool, int64_t, bool, const ::std::optional<at::Tensor> &, bool, int64_t, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -164868,7 +174613,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: per_sample_weights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -164992,14 +174737,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: per_sample_weights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: -1
     dynamic_type: int64_t
     is_nullable: false
     name: padding_idx
     type: int64_t
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, bool, int64_t, const c10::optional<at::Tensor> &, int64_t, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, bool, int64_t, const ::std::optional<at::Tensor> &, int64_t, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -165045,7 +174790,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: per_sample_weights
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: -1
     dynamic_type: int64_t
@@ -165210,15 +174955,15 @@
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, c10::optional<at::DimnameList>, c10::optional<at::MemoryFormat>, at::Tensor &)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, ::std::optional<at::DimnameList>, ::std::optional<at::MemoryFormat>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -165230,14 +174975,14 @@
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -165261,12 +175006,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: new_empty_out
-  operator_name: new_empty
+- name: empty_permuted_out
+  operator_name: empty_permuted
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::new_empty.out(Tensor self, SymInt[] size, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::empty_permuted.out(SymInt[] size, int[] physical_layout, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -165276,26 +175021,26 @@
     output: true
     type: at::Tensor &
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: at::IntArrayRef
     is_nullable: false
-    name: self
-    type: const at::Tensor &
+    name: size
+    type: at::IntArrayRef
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
-    name: size
+    name: physical_layout
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, at::IntArrayRef, at::Tensor &)
   schema_order_arguments:
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: at::IntArrayRef
     is_nullable: false
-    name: self
-    type: const at::Tensor &
+    name: size
+    type: at::IntArrayRef
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
-    name: size
+    name: physical_layout
     type: at::IntArrayRef
   - allocate: true
     annotation: a!
@@ -165320,12 +175065,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: new_empty_strided_out
-  operator_name: new_empty_strided
+- name: new_empty_out
+  operator_name: new_empty
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::new_empty_strided.out(Tensor self, SymInt[] size, SymInt[] stride, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::new_empty.out(Tensor self, SymInt[] size, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -165344,12 +175089,7 @@
     is_nullable: false
     name: size
     type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: stride
-    type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -165361,11 +175101,6 @@
     is_nullable: false
     name: size
     type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: stride
-    type: at::IntArrayRef
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -165389,12 +175124,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: new_full_out
-  operator_name: new_full
+- name: new_empty_strided_out
+  operator_name: new_empty_strided
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::new_full.out(Tensor self, SymInt[] size, Scalar fill_value, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::new_empty_strided.out(Tensor self, SymInt[] size, SymInt[] stride, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -165414,11 +175149,11 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::IntArrayRef
     is_nullable: false
-    name: fill_value
-    type: const at::Scalar &
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, const at::Scalar &, at::Tensor &)
+    name: stride
+    type: at::IntArrayRef
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -165431,10 +175166,10 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::IntArrayRef
     is_nullable: false
-    name: fill_value
-    type: const at::Scalar &
+    name: stride
+    type: at::IntArrayRef
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -165458,12 +175193,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: new_zeros_out
-  operator_name: new_zeros
+- name: new_full_out
+  operator_name: new_full
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::new_zeros.out(Tensor self, SymInt[] size, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::new_full.out(Tensor self, SymInt[] size, Scalar fill_value, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -165482,7 +175217,76 @@
     is_nullable: false
     name: size
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::Tensor &)
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: fill_value
+    type: const at::Scalar &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, const at::Scalar &, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: size
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: fill_value
+    type: const at::Scalar &
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: new_zeros_out
+  operator_name: new_zeros
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::new_zeros.out(Tensor self, SymInt[] size, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: size
+    type: at::IntArrayRef
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -165581,7 +175385,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_empty_affine_quantized.out(int[] size, *, float scale=1, int zero_point=0, MemoryFormat? memory_format=contiguous_format, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::_empty_affine_quantized.out(SymInt[] size, *, float scale=1, int zero_point=0, MemoryFormat? memory_format=contiguous_format, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -165610,13 +175414,13 @@
     name: zero_point
     type: int64_t
   - annotation: null
-    default: MemoryFormat::Contiguous
+    default: c10::MemoryFormat::Contiguous
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, double, int64_t, c10::optional<at::MemoryFormat>, at::Tensor &)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, double, int64_t, ::std::optional<at::MemoryFormat>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -165638,12 +175442,12 @@
     name: zero_point
     type: int64_t
   - annotation: null
-    default: MemoryFormat::Contiguous
+    default: c10::MemoryFormat::Contiguous
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -165672,7 +175476,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_empty_per_channel_affine_quantized.out(int[] size, *, Tensor scales, Tensor zero_points, int axis, MemoryFormat? memory_format=contiguous_format, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::_empty_per_channel_affine_quantized.out(SymInt[] size, *, Tensor scales, Tensor zero_points, int axis, MemoryFormat? memory_format=contiguous_format, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -165705,13 +175509,13 @@
     name: axis
     type: int64_t
   - annotation: null
-    default: MemoryFormat::Contiguous
+    default: c10::MemoryFormat::Contiguous
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, const at::Tensor &, const at::Tensor &, int64_t, c10::optional<at::MemoryFormat>, at::Tensor &)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, const at::Tensor &, const at::Tensor &, int64_t, ::std::optional<at::MemoryFormat>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -165737,12 +175541,12 @@
     name: axis
     type: int64_t
   - annotation: null
-    default: MemoryFormat::Contiguous
+    default: c10::MemoryFormat::Contiguous
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -165791,13 +175595,13 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: const at::Tensor & (const at::Tensor &, at::IntArrayRef, c10::optional<at::MemoryFormat>, const at::Tensor &)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: const at::Tensor & (const at::Tensor &, at::IntArrayRef, ::std::optional<at::MemoryFormat>, const at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -165810,12 +175614,12 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -165857,13 +175661,13 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, c10::optional<at::MemoryFormat>)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, at::IntArrayRef, ::std::optional<at::MemoryFormat>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -165876,12 +175680,12 @@
     name: size
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   method_of:
   - Type
   - namespace
@@ -165903,7 +175707,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_resize_output.out(Tensor self, int[] size, Device device, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::_resize_output.out(Tensor self, SymInt[] size, Device device, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -165972,7 +175776,7 @@
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_resize_output(Tensor self, int[] size, Device device) -> Tensor
+  schema_string: aten::_resize_output(Tensor self, SymInt[] size, Device device) -> Tensor
   arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -166047,13 +175851,13 @@
     name: qtensor
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, const at::Tensor &, c10::optional<at::MemoryFormat>, at::Tensor &)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, const at::Tensor &, ::std::optional<at::MemoryFormat>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -166066,12 +175870,12 @@
     name: qtensor
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -166115,13 +175919,13 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<at::MemoryFormat>, at::Tensor &)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<at::MemoryFormat>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -166129,12 +175933,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -166335,6 +176139,65 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: floor_divide_out
+  operator_name: floor_divide
+  overload_name: Scalar_out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::floor_divide.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: other
+    type: const at::Scalar &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Scalar &, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: other
+    type: const at::Scalar &
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: full_out
   operator_name: full
   overload_name: names_out
@@ -166364,8 +176227,8 @@
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
-  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, const at::Scalar &, c10::optional<at::DimnameList>, at::Tensor &)
+    type: ::std::optional<at::DimnameList>
+  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, const at::Scalar &, ::std::optional<at::DimnameList>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -166382,7 +176245,7 @@
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -166431,13 +176294,13 @@
     name: fill_value
     type: const at::Scalar &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Scalar &, c10::optional<at::MemoryFormat>, at::Tensor &)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Scalar &, ::std::optional<at::MemoryFormat>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -166450,12 +176313,12 @@
     name: fill_value
     type: const at::Scalar &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -166499,18 +176362,18 @@
     name: filename
     type: c10::string_view
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     name: shared
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
     default: 0
     dynamic_type: int64_t
     is_nullable: true
     name: size
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor & (c10::string_view, c10::optional<bool>, c10::optional<int64_t>, at::Tensor &)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor & (c10::string_view, ::std::optional<bool>, ::std::optional<int64_t>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: c10::string_view
@@ -166518,17 +176381,17 @@
     name: filename
     type: c10::string_view
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     name: shared
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - annotation: null
     default: 0
     dynamic_type: int64_t
     is_nullable: true
     name: size
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -167649,12 +177512,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -167680,7 +177543,7 @@
     is_nullable: false
     name: eps
     type: double
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, int64_t, int64_t, int64_t, int64_t, double, at::Tensor &, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, int64_t, int64_t, int64_t, int64_t, double, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -167691,12 +177554,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -167817,7 +177680,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -167843,7 +177706,7 @@
     is_nullable: false
     name: output_mask
     type: ::std::array<bool,3>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, int64_t, int64_t, int64_t, int64_t, ::std::array<bool,3>, at::Tensor &, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, int64_t, int64_t, int64_t, ::std::array<bool,3>, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -167869,7 +177732,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -167958,10 +177821,10 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: const c10::List<c10::optional<at::Tensor>> &
+    dynamic_type: const c10::List<::std::optional<at::Tensor>> &
     is_nullable: true
     name: indices
-    type: const c10::List<c10::optional<at::Tensor>> &
+    type: const c10::List<::std::optional<at::Tensor>> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -167973,7 +177836,7 @@
     is_nullable: false
     name: accumulate
     type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const c10::List<c10::optional<at::Tensor>> &, const at::Tensor &, bool, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const c10::List<::std::optional<at::Tensor>> &, const at::Tensor &, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -167981,10 +177844,10 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: const c10::List<c10::optional<at::Tensor>> &
+    dynamic_type: const c10::List<::std::optional<at::Tensor>> &
     is_nullable: true
     name: indices
-    type: const c10::List<c10::optional<at::Tensor>> &
+    type: const c10::List<::std::optional<at::Tensor>> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -168039,10 +177902,10 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: const c10::List<c10::optional<at::Tensor>> &
+    dynamic_type: const c10::List<::std::optional<at::Tensor>> &
     is_nullable: true
     name: indices
-    type: const c10::List<c10::optional<at::Tensor>> &
+    type: const c10::List<::std::optional<at::Tensor>> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -168060,7 +177923,7 @@
     is_nullable: false
     name: unsafe
     type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const c10::List<c10::optional<at::Tensor>> &, const at::Tensor &, bool, bool, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const c10::List<::std::optional<at::Tensor>> &, const at::Tensor &, bool, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -168068,10 +177931,10 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: const c10::List<c10::optional<at::Tensor>> &
+    dynamic_type: const c10::List<::std::optional<at::Tensor>> &
     is_nullable: true
     name: indices
-    type: const c10::List<c10::optional<at::Tensor>> &
+    type: const c10::List<::std::optional<at::Tensor>> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -168125,10 +177988,10 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: const c10::List<c10::optional<at::Tensor>> &
+    dynamic_type: const c10::List<::std::optional<at::Tensor>> &
     is_nullable: true
     name: indices
-    type: const c10::List<c10::optional<at::Tensor>> &
+    type: const c10::List<::std::optional<at::Tensor>> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -168146,7 +178009,7 @@
     is_nullable: false
     name: unsafe
     type: bool
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::List<c10::optional<at::Tensor>> &, const at::Tensor &, bool, bool)
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const c10::List<::std::optional<at::Tensor>> &, const at::Tensor &, bool, bool)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -168154,10 +178017,10 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: const c10::List<c10::optional<at::Tensor>> &
+    dynamic_type: const c10::List<::std::optional<at::Tensor>> &
     is_nullable: true
     name: indices
-    type: const c10::List<c10::optional<at::Tensor>> &
+    type: const c10::List<::std::optional<at::Tensor>> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -168282,18 +178145,18 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: double
     is_nullable: false
     name: eps
     type: double
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, at::IntArrayRef, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, double, at::Tensor &, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, at::IntArrayRef, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, double, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -168309,12 +178172,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: double
     is_nullable: false
@@ -168420,18 +178283,18 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: ::std::array<bool,3>
     is_nullable: false
     name: output_mask
     type: ::std::array<bool,3>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, ::std::array<bool,3>, at::Tensor &, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, ::std::array<bool,3>, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -168462,12 +178325,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: ::std::array<bool,3>
     is_nullable: false
@@ -168658,8 +178521,8 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::Tensor &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -168676,7 +178539,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -170083,12 +179946,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: median_out
-  operator_name: median
+- name: quantized_max_pool3d_out
+  operator_name: quantized_max_pool3d
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::median.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::quantized_max_pool3d.out(Tensor self, int[3] kernel_size, int[3] stride=[], int[3] padding=0, int[3] dilation=1, bool ceil_mode=False, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -170102,13 +179965,79 @@
     is_nullable: false
     name: self
     type: const at::Tensor &
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::Tensor &)
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: kernel_size
+    size: 3
+    type: at::IntArrayRef
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: stride
+    size: 3
+    type: at::IntArrayRef
+  - annotation: null
+    default: 0
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: padding
+    size: 3
+    type: at::IntArrayRef
+  - annotation: null
+    default: 1
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: dilation
+    size: 3
+    type: at::IntArrayRef
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: ceil_mode
+    type: bool
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
     name: self
     type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: kernel_size
+    size: 3
+    type: at::IntArrayRef
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: stride
+    size: 3
+    type: at::IntArrayRef
+  - annotation: null
+    default: 0
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: padding
+    size: 3
+    type: at::IntArrayRef
+  - annotation: null
+    default: 1
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: dilation
+    size: 3
+    type: at::IntArrayRef
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: ceil_mode
+    type: bool
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -170132,12 +180061,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: nanmedian_out
-  operator_name: nanmedian
+- name: median_out
+  operator_name: median
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::nanmedian.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::median.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -170181,12 +180110,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _mps_convolution_out
-  operator_name: _mps_convolution
+- name: nanmedian_out
+  operator_name: nanmedian
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_mps_convolution.out(Tensor self, Tensor weight, Tensor? bias, int[] padding, int[] stride, int[] dilation, int groups, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::nanmedian.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -170200,73 +180129,122 @@
     is_nullable: false
     name: self
     type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: weight
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: true
-    name: bias
-    type: const c10::optional<at::Tensor> &
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: padding
-    type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: stride
-    type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: dilation
-    type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: groups
-    type: int64_t
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
     name: self
     type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: weight
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: true
-    name: bias
-    type: const c10::optional<at::Tensor> &
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: padding
-    type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: stride
-    type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: dilation
-    type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: groups
-    type: int64_t
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _mps_convolution_out
+  operator_name: _mps_convolution
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_mps_convolution.out(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, SymInt[] stride, SymInt[] dilation, SymInt groups, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: weight
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: padding
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: stride
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: dilation
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: groups
+    type: int64_t
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: weight
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: padding
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: stride
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: dilation
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: groups
+    type: int64_t
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -170295,7 +180273,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::mps_convolution_backward.out(Tensor self, Tensor grad_output, Tensor weight, int[] padding, int[] stride, int[] dilation, int groups, bool[3] output_mask, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!))
+  schema_string: aten::mps_convolution_backward.out(Tensor self, Tensor grad_output, Tensor weight, SymInt[] padding, SymInt[] stride, SymInt[] dilation, SymInt groups, bool[3] output_mask, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!))
   arguments:
   - allocate: true
     annotation: a!
@@ -170448,7 +180426,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::mkldnn_convolution.out(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, int[] stride, int[] dilation, int groups, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::mkldnn_convolution.out(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, SymInt[] stride, SymInt[] dilation, SymInt groups, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -170471,7 +180449,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -170492,7 +180470,7 @@
     is_nullable: false
     name: groups
     type: int64_t
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -170508,7 +180486,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -170912,17 +180890,17 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_output
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_hy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_cy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -170973,7 +180951,7 @@
     is_nullable: false
     name: workspace
     type: const at::Tensor &
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, bool, int64_t, int64_t, int64_t, bool, bool, bool, at::IntArrayRef, bool, const at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, bool, int64_t, int64_t, int64_t, bool, bool, bool, at::IntArrayRef, bool, const at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -171029,17 +181007,17 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_output
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_hy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_cy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -171215,17 +181193,17 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -171241,7 +181219,7 @@
     is_nullable: false
     name: epsilon
     type: double
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, bool, double, double, at::Tensor &, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, bool, double, double, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -171257,17 +181235,17 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -171373,28 +181351,28 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: double
     is_nullable: false
     name: epsilon
     type: double
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, double, at::Tensor &, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, double, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -171415,22 +181393,22 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: double
     is_nullable: false
@@ -171484,7 +181462,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::miopen_convolution.out(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::miopen_convolution.out(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, SymInt[] stride, SymInt[] dilation, SymInt groups, bool benchmark, bool deterministic, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -171507,7 +181485,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -171538,7 +181516,7 @@
     is_nullable: false
     name: deterministic
     type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, bool, bool, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, bool, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -171554,7 +181532,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -171613,7 +181591,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::miopen_convolution_transpose.out(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, SymInt[] output_padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::miopen_convolution_transpose.out(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, SymInt[] output_padding, SymInt[] stride, SymInt[] dilation, SymInt groups, bool benchmark, bool deterministic, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -171636,7 +181614,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -171672,7 +181650,7 @@
     is_nullable: false
     name: deterministic
     type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, bool, bool, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, bool, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -171688,7 +181666,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -171752,7 +181730,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::miopen_depthwise_convolution.out(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::miopen_depthwise_convolution.out(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, SymInt[] stride, SymInt[] dilation, SymInt groups, bool benchmark, bool deterministic, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -171775,7 +181753,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -171806,7 +181784,7 @@
     is_nullable: false
     name: deterministic
     type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, bool, bool, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, bool, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -171822,7 +181800,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -171942,7 +181920,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: cx
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -171987,8 +181965,8 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: dropout_state
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, at::TensorList, int64_t, const at::Tensor &, const c10::optional<at::Tensor> &, int64_t, int64_t, int64_t, bool, double, bool, bool, at::IntArrayRef, const c10::optional<at::Tensor> &, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, at::TensorList, int64_t, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, int64_t, int64_t, bool, double, bool, bool, at::IntArrayRef, const ::std::optional<at::Tensor> &, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -172014,7 +181992,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: cx
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -172059,7 +182037,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: dropout_state
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -172187,7 +182165,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: cx
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -172197,17 +182175,17 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_output
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_hy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_cy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -172252,7 +182230,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: dropout_state
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -172263,7 +182241,7 @@
     is_nullable: false
     name: output_mask
     type: ::std::array<bool,4>
-  schema_order_cpp_signature: void (const at::Tensor &, at::TensorList, int64_t, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, int64_t, int64_t, int64_t, bool, double, bool, bool, at::IntArrayRef, const c10::optional<at::Tensor> &, const at::Tensor &, ::std::array<bool,4>, at::Tensor &, at::Tensor &, at::Tensor &, at::TensorList)
+  schema_order_cpp_signature: void (const at::Tensor &, at::TensorList, int64_t, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, int64_t, int64_t, int64_t, bool, double, bool, bool, at::IntArrayRef, const ::std::optional<at::Tensor> &, const at::Tensor &, ::std::array<bool,4>, at::Tensor &, at::Tensor &, at::Tensor &, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -172294,7 +182272,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: cx
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -172304,17 +182282,17 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_output
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_hy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_cy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: int64_t
     is_nullable: false
@@ -172359,7 +182337,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: dropout_state
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -172545,12 +182523,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -172576,7 +182554,7 @@
     is_nullable: false
     name: eps
     type: double
-  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, bool, double, double)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, bool, double, double)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -172587,12 +182565,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -172648,12 +182626,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: batch_norm_stats_out
-  operator_name: batch_norm_stats
+- name: _native_batch_norm_legit_no_training_out
+  operator_name: _native_batch_norm_legit_no_training
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::batch_norm_stats.out(Tensor input, float eps, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!))
+  schema_string: aten::_native_batch_norm_legit_no_training.out(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!))
   arguments:
   - allocate: true
     annotation: a!
@@ -172669,23 +182647,80 @@
     name: out1
     output: true
     type: at::Tensor &
+  - allocate: true
+    annotation: c!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out2
+    output: true
+    type: at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
     name: input
     type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: weight
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: running_mean
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: running_var
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: momentum
+    type: double
   - annotation: null
     dynamic_type: double
     is_nullable: false
     name: eps
     type: double
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, double, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, double, double, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
     name: input
     type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: weight
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: running_mean
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: running_var
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: momentum
+    type: double
   - annotation: null
     dynamic_type: double
     is_nullable: false
@@ -172705,6 +182740,13 @@
     name: out1
     output: true
     type: at::Tensor &
+  - allocate: true
+    annotation: c!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out2
+    output: true
+    type: at::Tensor &
   method_of:
   - Type
   - namespace
@@ -172717,6 +182759,9 @@
   - dynamic_type: at::Tensor
     name: out1
     type: at::Tensor &
+  - dynamic_type: at::Tensor
+    name: out2
+    type: at::Tensor &
   inplace: false
   is_factory_method: false
   abstract: true
@@ -172724,12 +182769,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: batch_norm_gather_stats_out
-  operator_name: batch_norm_gather_stats
+- name: batch_norm_stats_out
+  operator_name: batch_norm_stats
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::batch_norm_gather_stats.out(Tensor input, Tensor mean, Tensor invstd, Tensor? running_mean, Tensor? running_var, float momentum, float eps, int count, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!))
+  schema_string: aten::batch_norm_stats.out(Tensor input, float eps, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!))
   arguments:
   - allocate: true
     annotation: a!
@@ -172751,42 +182796,76 @@
     name: input
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: double
     is_nullable: false
-    name: mean
-    type: const at::Tensor &
+    name: eps
+    type: double
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, double, at::Tensor &, at::Tensor &)
+  schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: invstd
+    name: input
     type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: true
-    name: running_mean
-    type: const c10::optional<at::Tensor> &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: true
-    name: running_var
-    type: const c10::optional<at::Tensor> &
-  - annotation: null
-    dynamic_type: double
-    is_nullable: false
-    name: momentum
-    type: double
   - annotation: null
     dynamic_type: double
     is_nullable: false
     name: eps
     type: double
-  - annotation: null
-    dynamic_type: int64_t
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
     is_nullable: false
-    name: count
-    type: int64_t
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, double, double, int64_t, at::Tensor &, at::Tensor &)
-  schema_order_arguments:
+    name: out0
+    output: true
+    type: at::Tensor &
+  - allocate: true
+    annotation: b!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out1
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out0
+    type: at::Tensor &
+  - dynamic_type: at::Tensor
+    name: out1
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: batch_norm_gather_stats_out
+  operator_name: batch_norm_gather_stats
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::batch_norm_gather_stats.out(Tensor input, Tensor mean, Tensor invstd, Tensor? running_mean, Tensor? running_var, float momentum, float eps, int count, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!))
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out0
+    output: true
+    type: at::Tensor &
+  - allocate: true
+    annotation: b!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out1
+    output: true
+    type: at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -172806,12 +182885,54 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: momentum
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: eps
+    type: double
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: count
+    type: int64_t
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, double, double, int64_t, at::Tensor &, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: mean
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: invstd
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: running_mean
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: running_var
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: double
     is_nullable: false
@@ -172900,12 +183021,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: double
     is_nullable: false
@@ -172921,7 +183042,7 @@
     is_nullable: false
     name: counts
     type: const at::Tensor &
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, double, double, const at::Tensor &, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, double, double, const at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -172942,12 +183063,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: double
     is_nullable: false
@@ -173038,27 +183159,27 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_invstd
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -173074,7 +183195,7 @@
     is_nullable: false
     name: output_mask
     type: ::std::array<bool,3>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, bool, double, ::std::array<bool,3>, at::Tensor &, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, bool, double, ::std::array<bool,3>, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -173090,27 +183211,27 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: save_invstd
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -173228,7 +183349,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -173244,7 +183365,7 @@
     is_nullable: false
     name: bias_g
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, bool, bool, bool, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, bool, bool, bool, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -173270,7 +183391,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -173344,7 +183465,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::batch_norm_backward_elemt.out(Tensor grad_out, Tensor input, Tensor mean, Tensor invstd, Tensor? weight, Tensor mean_dy, Tensor mean_dy_xmu, Tensor count, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::batch_norm_backward_elemt.out(Tensor grad_out, Tensor input, Tensor mean, Tensor invstd, Tensor? weight, Tensor sum_dy, Tensor sum_dy_xmu, Tensor count, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -173377,23 +183498,23 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: mean_dy
+    name: sum_dy
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: mean_dy_xmu
+    name: sum_dy_xmu
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
     name: count
     type: const at::Tensor &
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, const at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, const at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -173419,16 +183540,16 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: mean_dy
+    name: sum_dy
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: mean_dy_xmu
+    name: sum_dy_xmu
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
@@ -173488,18 +183609,18 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: double
     is_nullable: false
     name: momentum
     type: double
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, double, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, double, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -173510,12 +183631,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_mean
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: running_var
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: double
     is_nullable: false
@@ -173559,7 +183680,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_nnpack_spatial_convolution.out(Tensor input, Tensor weight, Tensor? bias, SymInt[2] padding, int[2] stride=1, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::_nnpack_spatial_convolution.out(Tensor input, Tensor weight, Tensor? bias, SymInt[2] padding, SymInt[2] stride=1, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -173582,7 +183703,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -173596,7 +183717,7 @@
     name: stride
     size: 2
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -173612,7 +183733,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -173673,8 +183794,8 @@
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
-  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, c10::optional<at::DimnameList>, at::Tensor &)
+    type: ::std::optional<at::DimnameList>
+  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, ::std::optional<at::DimnameList>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -173686,7 +183807,7 @@
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -173730,13 +183851,13 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<at::MemoryFormat>, at::Tensor &)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<at::MemoryFormat>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -173744,12 +183865,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -173865,8 +183986,8 @@
     dynamic_type: int64_t
     is_nullable: true
     name: compute_mode
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, double, c10::optional<int64_t>, at::Tensor &)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, double, ::std::optional<int64_t>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -173887,7 +184008,7 @@
     dynamic_type: int64_t
     is_nullable: true
     name: compute_mode
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -174263,7 +184384,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::channel_shuffle.out(Tensor self, int groups, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::channel_shuffle.out(Tensor self, SymInt groups, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -174337,12 +184458,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     name: device
-    type: c10::optional<at::Device>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<at::Device>, at::Tensor &)
+    type: ::std::optional<at::Device>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<at::Device>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -174350,11 +184471,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -174451,8 +184572,8 @@
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
-  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, c10::optional<at::DimnameList>, at::Tensor &)
+    type: ::std::optional<at::DimnameList>
+  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, ::std::optional<at::DimnameList>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -174464,7 +184585,7 @@
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -174512,14 +184633,14 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - annotation: null
     dynamic_type: at::DimnameList
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
-  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, c10::optional<at::Generator>, c10::optional<at::DimnameList>, at::Tensor &)
+    type: ::std::optional<at::DimnameList>
+  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, ::std::optional<at::Generator>, ::std::optional<at::DimnameList>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -174531,13 +184652,13 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - annotation: null
     dynamic_type: at::DimnameList
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -174581,13 +184702,13 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<at::MemoryFormat>, at::Tensor &)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<at::MemoryFormat>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -174595,12 +184716,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -174629,7 +184750,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::randint_like.out(Tensor self, int high, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::randint_like.out(Tensor self, SymInt high, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -174649,13 +184770,13 @@
     name: high
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, c10::optional<at::MemoryFormat>, at::Tensor &)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, ::std::optional<at::MemoryFormat>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -174668,12 +184789,12 @@
     name: high
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -174702,7 +184823,7 @@
   overload_name: low_dtype_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::randint_like.low_dtype_out(Tensor self, int low, int high, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::randint_like.low_dtype_out(Tensor self, SymInt low, SymInt high, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -174727,13 +184848,13 @@
     name: high
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, int64_t, c10::optional<at::MemoryFormat>, at::Tensor &)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, int64_t, ::std::optional<at::MemoryFormat>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -174751,12 +184872,12 @@
     name: high
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -174804,8 +184925,8 @@
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
-  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, c10::optional<at::DimnameList>, at::Tensor &)
+    type: ::std::optional<at::DimnameList>
+  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, ::std::optional<at::DimnameList>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -174817,7 +184938,7 @@
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -174865,14 +184986,14 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - annotation: null
     dynamic_type: at::DimnameList
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
-  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, c10::optional<at::Generator>, c10::optional<at::DimnameList>, at::Tensor &)
+    type: ::std::optional<at::DimnameList>
+  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, ::std::optional<at::Generator>, ::std::optional<at::DimnameList>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -174884,13 +185005,13 @@
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - annotation: null
     dynamic_type: at::DimnameList
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -174934,13 +185055,13 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<at::MemoryFormat>, at::Tensor &)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<at::MemoryFormat>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -174948,12 +185069,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -175041,7 +185162,7 @@
   overload_name: Tensor_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::repeat_interleave.Tensor_out(Tensor repeats, *, int? output_size=None, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::repeat_interleave.Tensor_out(Tensor repeats, *, SymInt? output_size=None, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -175056,13 +185177,13 @@
     name: repeats
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     kwarg_only: true
     name: output_size
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<int64_t>, at::Tensor &)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<int64_t>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -175070,12 +185191,12 @@
     name: repeats
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     kwarg_only: true
     name: output_size
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -175477,24 +185598,24 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: start
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: end
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: 1
     dynamic_type: int64_t
     is_nullable: false
     name: step
     type: int64_t
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, int64_t, c10::optional<int64_t>, c10::optional<int64_t>, int64_t, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, int64_t, ::std::optional<int64_t>, ::std::optional<int64_t>, int64_t, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -175513,17 +185634,17 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: start
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: end
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: 1
     dynamic_type: int64_t
@@ -175762,12 +185883,12 @@
     name: stride
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: storage_offset
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, c10::optional<int64_t>, at::Tensor &)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, ::std::optional<int64_t>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -175790,11 +185911,11 @@
     name: stride
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: storage_offset
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -175974,13 +186095,13 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<at::ScalarType>, at::Tensor &)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<at::ScalarType>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -175988,12 +186109,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -176022,7 +186143,7 @@
   overload_name: correction_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::std_mean.correction_out(Tensor self, int[1]? dim=None, *, int? correction=None, bool keepdim=False, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!))
+  schema_string: aten::std_mean.correction_out(Tensor self, int[1]? dim=None, *, Scalar? correction=None, bool keepdim=False, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!))
   arguments:
   - allocate: true
     annotation: a!
@@ -176044,19 +186165,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -176064,7 +186185,7 @@
     kwarg_only: true
     name: keepdim
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, at::OptionalIntArrayRef, c10::optional<int64_t>, bool, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, at::OptionalIntArrayRef, const ::std::optional<at::Scalar> &, bool, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -176072,19 +186193,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -176145,13 +186266,13 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<at::ScalarType>, at::Tensor &)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<at::ScalarType>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -176159,12 +186280,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -176321,7 +186442,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::roll.out(Tensor self, int[1] shifts, int[1] dims=[], *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::roll.out(Tensor self, SymInt[1] shifts, int[1] dims=[], *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -176807,6 +186928,55 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
+- name: _nested_tensor_storage_offsets_out
+  operator_name: _nested_tensor_storage_offsets
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_nested_tensor_storage_offsets.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
 - name: _nested_from_padded_and_nested_example_out
   operator_name: _nested_from_padded_and_nested_example
   overload_name: out
@@ -176871,7 +187041,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_nested_view_from_buffer_copy.out(Tensor self, Tensor nested_size, Tensor nested_strides, int[] offsets, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::_nested_view_from_buffer_copy.out(Tensor self, Tensor nested_size, Tensor nested_strides, Tensor offsets, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -176896,11 +187066,11 @@
     name: nested_strides
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::IntArrayRef
+    dynamic_type: at::Tensor
     is_nullable: false
     name: offsets
-    type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::Tensor &)
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -176918,131 +187088,297 @@
     name: nested_strides
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::IntArrayRef
+    dynamic_type: at::Tensor
     is_nullable: false
     name: offsets
+    type: const at::Tensor &
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _nested_view_from_jagged_copy_out
+  operator_name: _nested_view_from_jagged_copy
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_nested_view_from_jagged_copy.out(Tensor self, Tensor offsets, Tensor dummy, Tensor? lengths=None, int ragged_idx=1, Tensor? min_seqlen=None, Tensor? max_seqlen=None, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: offsets
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: dummy
+    type: const at::Tensor &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: lengths
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: 1
+    dynamic_type: int64_t
+    is_nullable: false
+    name: ragged_idx
+    type: int64_t
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: min_seqlen
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: max_seqlen
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, int64_t, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: offsets
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: dummy
+    type: const at::Tensor &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: lengths
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: 1
+    dynamic_type: int64_t
+    is_nullable: false
+    name: ragged_idx
+    type: int64_t
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: min_seqlen
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: max_seqlen
+    type: const ::std::optional<at::Tensor> &
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _nested_get_values_copy_out
+  operator_name: _nested_get_values_copy
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_nested_get_values_copy.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _trilinear_out
+  operator_name: _trilinear
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_trilinear.out(Tensor i1, Tensor i2, Tensor i3, int[] expand1, int[] expand2, int[] expand3, int[] sumdim, int unroll_dim=1, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: i1
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: i2
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: i3
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: expand1
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: expand2
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: expand3
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: sumdim
+    type: at::IntArrayRef
+  - annotation: null
+    default: 1
+    dynamic_type: int64_t
+    is_nullable: false
+    name: unroll_dim
+    type: int64_t
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: i1
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: i2
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: i3
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: expand1
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: expand2
+    type: at::IntArrayRef
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: expand3
     type: at::IntArrayRef
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
-  method_of:
-  - Type
-  - namespace
-  mode: native
-  python_module: ''
-  returns:
-  - dynamic_type: at::Tensor
-    name: out
-    type: at::Tensor &
-  inplace: false
-  is_factory_method: false
-  abstract: true
-  device_guard: false
-  with_gil: false
-  deprecated: false
-  has_math_kernel: false
-- name: _trilinear_out
-  operator_name: _trilinear
-  overload_name: out
-  manual_kernel_registration: false
-  category_override: ''
-  schema_string: aten::_trilinear.out(Tensor i1, Tensor i2, Tensor i3, int[] expand1, int[] expand2, int[] expand3, int[] sumdim, int unroll_dim=1, *, Tensor(a!) out) -> Tensor(a!)
-  arguments:
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: i1
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: i2
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: i3
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: expand1
-    type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: expand2
-    type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: expand3
-    type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: sumdim
-    type: at::IntArrayRef
-  - annotation: null
-    default: 1
-    dynamic_type: int64_t
-    is_nullable: false
-    name: unroll_dim
-    type: int64_t
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, at::Tensor &)
-  schema_order_arguments:
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: i1
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: i2
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: i3
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: expand1
-    type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: expand2
-    type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: expand3
-    type: at::IntArrayRef
-  - annotation: null
-    dynamic_type: at::IntArrayRef
-    is_nullable: false
-    name: sumdim
-    type: at::IntArrayRef
-  - annotation: null
-    default: 1
-    dynamic_type: int64_t
-    is_nullable: false
-    name: unroll_dim
-    type: int64_t
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: sumdim
+    type: at::IntArrayRef
+  - annotation: null
+    default: 1
+    dynamic_type: int64_t
+    is_nullable: false
+    name: unroll_dim
+    type: int64_t
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -177331,12 +187667,12 @@
     name: return_counts
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, bool, bool, c10::optional<int64_t>, at::Tensor &, at::Tensor &, at::Tensor &)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, bool, bool, ::std::optional<int64_t>, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -177356,11 +187692,11 @@
     name: return_counts
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -177704,7 +188040,7 @@
   overload_name: correction_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::var_mean.correction_out(Tensor self, int[1]? dim=None, *, int? correction=None, bool keepdim=False, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!))
+  schema_string: aten::var_mean.correction_out(Tensor self, int[1]? dim=None, *, Scalar? correction=None, bool keepdim=False, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!))
   arguments:
   - allocate: true
     annotation: a!
@@ -177726,19 +188062,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -177746,7 +188082,7 @@
     kwarg_only: true
     name: keepdim
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, at::OptionalIntArrayRef, c10::optional<int64_t>, bool, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, at::OptionalIntArrayRef, const ::std::optional<at::Scalar> &, bool, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -177754,19 +188090,19 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: dim
     size: 1
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: int64_t
+    default: ::std::nullopt
+    dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: correction
-    type: c10::optional<int64_t>
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -178025,8 +188361,8 @@
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
-  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, c10::optional<at::DimnameList>, at::Tensor &)
+    type: ::std::optional<at::DimnameList>
+  schema_order_cpp_signature: at::Tensor & (at::IntArrayRef, ::std::optional<at::DimnameList>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::IntArrayRef
@@ -178038,7 +188374,7 @@
     is_nullable: true
     kwarg_only: true
     name: names
-    type: c10::optional<at::DimnameList>
+    type: ::std::optional<at::DimnameList>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -178067,7 +188403,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_efficientzerotensor.out(int[] size, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::_efficientzerotensor.out(SymInt[] size, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -178131,13 +188467,13 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<at::MemoryFormat>, at::Tensor &)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<at::MemoryFormat>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -178145,12 +188481,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -178253,12 +188589,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -178266,11 +188602,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -178383,12 +188719,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -178396,11 +188732,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -178444,12 +188780,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -178457,11 +188793,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -178510,12 +188846,12 @@
     name: prob
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -178528,11 +188864,11 @@
     name: prob
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -178640,7 +188976,7 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -178656,8 +188992,8 @@
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const c10::optional<at::Scalar> &, at::IntArrayRef, bool, c10::optional<at::ScalarType>, at::Tensor &)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const ::std::optional<at::Scalar> &, at::IntArrayRef, bool, ::std::optional<at::ScalarType>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -178668,7 +189004,7 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -178684,7 +189020,7 @@
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -178708,51 +189044,85 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _sparse_sum_out
-  operator_name: _sparse_sum
-  overload_name: dim_out
+- name: _batch_norm_with_update_functional
+  operator_name: _batch_norm_with_update_functional
+  overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_sparse_sum.dim_out(Tensor self, int[1] dim, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::_batch_norm_with_update_functional(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, float momentum, float eps) -> (Tensor, Tensor, Tensor, Tensor, Tensor running_mean_out, Tensor running_var_out)
   arguments:
-  - allocate: true
-    annotation: a!
+  - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: weight
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: self
+    name: running_mean
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::IntArrayRef
+    dynamic_type: at::Tensor
     is_nullable: false
-    name: dim
-    size: 1
-    type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::Tensor &)
+    name: running_var
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: momentum
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: eps
+    type: double
+  schema_order_cpp_signature: ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, double, double)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: self
+    name: input
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::IntArrayRef
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: weight
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
     is_nullable: false
-    name: dim
-    size: 1
-    type: at::IntArrayRef
-  - allocate: true
-    annotation: a!
+    name: running_mean
+    type: const at::Tensor &
+  - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
+    name: running_var
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: momentum
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: eps
+    type: double
   method_of:
   - Type
   - namespace
@@ -178760,8 +189130,25 @@
   python_module: ''
   returns:
   - dynamic_type: at::Tensor
-    name: out
-    type: at::Tensor &
+    name: result0
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    name: result1
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    name: result2
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    name: result3
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    field_name: running_mean_out
+    name: running_mean_out
+    type: at::Tensor
+  - dynamic_type: at::Tensor
+    field_name: running_var_out
+    name: running_var_out
+    type: at::Tensor
   inplace: false
   is_factory_method: false
   abstract: true
@@ -178769,57 +189156,139 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _sparse_sum_backward_out
-  operator_name: _sparse_sum_backward
+- name: _batch_norm_no_update_out
+  operator_name: _batch_norm_no_update
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_sparse_sum_backward.out(Tensor grad, Tensor self, int[] dim, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::_batch_norm_no_update.out(Tensor input, Tensor? weight, Tensor? bias, Tensor? running_mean, Tensor? running_var, float momentum, float eps, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2, Tensor(d!) out3) -> (Tensor(a!), Tensor(b!), Tensor(c!), Tensor(d!))
   arguments:
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
     is_nullable: false
-    name: out
+    name: out0
+    output: true
+    type: at::Tensor &
+  - allocate: true
+    annotation: b!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out1
+    output: true
+    type: at::Tensor &
+  - allocate: true
+    annotation: c!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out2
+    output: true
+    type: at::Tensor &
+  - allocate: true
+    annotation: d!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out3
     output: true
     type: at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: grad
+    name: input
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
+    is_nullable: true
+    name: weight
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: running_mean
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: running_var
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: double
     is_nullable: false
-    name: self
-    type: const at::Tensor &
+    name: momentum
+    type: double
   - annotation: null
-    dynamic_type: at::IntArrayRef
+    dynamic_type: double
     is_nullable: false
-    name: dim
-    type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::Tensor &)
+    name: eps
+    type: double
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, double, double, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: grad
+    name: input
     type: const at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
+    is_nullable: true
+    name: weight
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: bias
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: running_mean
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: running_var
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: double
     is_nullable: false
-    name: self
-    type: const at::Tensor &
+    name: momentum
+    type: double
   - annotation: null
-    dynamic_type: at::IntArrayRef
+    dynamic_type: double
     is_nullable: false
-    name: dim
-    type: at::IntArrayRef
+    name: eps
+    type: double
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
     is_nullable: false
-    name: out
+    name: out0
+    output: true
+    type: at::Tensor &
+  - allocate: true
+    annotation: b!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out1
+    output: true
+    type: at::Tensor &
+  - allocate: true
+    annotation: c!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out2
+    output: true
+    type: at::Tensor &
+  - allocate: true
+    annotation: d!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out3
     output: true
     type: at::Tensor &
   method_of:
@@ -178829,7 +189298,16 @@
   python_module: ''
   returns:
   - dynamic_type: at::Tensor
-    name: out
+    name: out0
+    type: at::Tensor &
+  - dynamic_type: at::Tensor
+    name: out1
+    type: at::Tensor &
+  - dynamic_type: at::Tensor
+    name: out2
+    type: at::Tensor &
+  - dynamic_type: at::Tensor
+    name: out3
     type: at::Tensor &
   inplace: false
   is_factory_method: false
@@ -178838,12 +189316,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _sparse_csr_sum_out
-  operator_name: _sparse_csr_sum
-  overload_name: dim_dtype_out
+- name: _sparse_sum_out
+  operator_name: _sparse_sum
+  overload_name: dim_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_sparse_csr_sum.dim_dtype_out(Tensor self, int[1] dim, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::_sparse_sum.dim_out(Tensor self, int[1] dim, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -178863,20 +189341,7 @@
     name: dim
     size: 1
     type: at::IntArrayRef
-  - annotation: null
-    default: false
-    dynamic_type: bool
-    is_nullable: false
-    name: keepdim
-    type: bool
-  - annotation: null
-    default: c10::nullopt
-    dynamic_type: at::ScalarType
-    is_nullable: true
-    kwarg_only: true
-    name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, bool, c10::optional<at::ScalarType>, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -178889,19 +189354,162 @@
     name: dim
     size: 1
     type: at::IntArrayRef
-  - annotation: null
-    default: false
-    dynamic_type: bool
-    is_nullable: false
-    name: keepdim
-    type: bool
-  - annotation: null
-    default: c10::nullopt
-    dynamic_type: at::ScalarType
-    is_nullable: true
-    kwarg_only: true
-    name: dtype
-    type: c10::optional<at::ScalarType>
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _sparse_sum_backward_out
+  operator_name: _sparse_sum_backward
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_sparse_sum_backward.out(Tensor grad, Tensor self, int[] dim, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: grad
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: dim
+    type: at::IntArrayRef
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: grad
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: dim
+    type: at::IntArrayRef
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _sparse_csr_sum_out
+  operator_name: _sparse_csr_sum
+  overload_name: dim_dtype_out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_sparse_csr_sum.dim_dtype_out(Tensor self, int[1] dim, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: dim
+    size: 1
+    type: at::IntArrayRef
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: keepdim
+    type: bool
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, bool, ::std::optional<at::ScalarType>, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::IntArrayRef
+    is_nullable: false
+    name: dim
+    size: 1
+    type: at::IntArrayRef
+  - annotation: null
+    default: false
+    dynamic_type: bool
+    is_nullable: false
+    name: keepdim
+    type: bool
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    kwarg_only: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -178957,13 +189565,13 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, bool, c10::optional<at::ScalarType>, at::Tensor &)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, bool, ::std::optional<at::ScalarType>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -178983,12 +189591,12 @@
     name: keepdim
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     kwarg_only: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -179338,12 +189946,12 @@
     name: shape
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     name: layout
-    type: c10::optional<at::Layout>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, c10::optional<at::Layout>, at::Tensor &)
+    type: ::std::optional<at::Layout>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, ::std::optional<at::Layout>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -179361,11 +189969,11 @@
     name: shape
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -179412,14 +190020,14 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::ScalarType
     is_nullable: false
     kwarg_only: true
     name: dtype
     type: at::ScalarType
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const c10::optional<at::Scalar> &, at::ScalarType, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const ::std::optional<at::Scalar> &, at::ScalarType, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -179430,7 +190038,7 @@
     dynamic_type: const at::Scalar &
     is_nullable: true
     name: p
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - annotation: null
     dynamic_type: at::ScalarType
     is_nullable: false
@@ -179541,13 +190149,13 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<at::MemoryFormat>, at::Tensor &)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<at::MemoryFormat>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -179555,12 +190163,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -179609,13 +190217,13 @@
     name: the_template
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: const at::Tensor & (const at::Tensor &, const at::Tensor &, c10::optional<at::MemoryFormat>, const at::Tensor &)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: const at::Tensor & (const at::Tensor &, const at::Tensor &, ::std::optional<at::MemoryFormat>, const at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -179628,12 +190236,12 @@
     name: the_template
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -179675,13 +190283,13 @@
     name: the_template
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, c10::optional<at::MemoryFormat>)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, const at::Tensor &, ::std::optional<at::MemoryFormat>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -179694,12 +190302,12 @@
     name: the_template
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   method_of:
   - Type
   - namespace
@@ -180339,7 +190947,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_sparse_coo_tensor_with_dims_and_tensors.out(int sparse_dim, int dense_dim, SymInt[] size, Tensor indices, Tensor values, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::_sparse_coo_tensor_with_dims_and_tensors.out(int sparse_dim, int dense_dim, SymInt[] size, Tensor indices, Tensor values, *, bool? is_coalesced=None, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -180373,7 +190981,14 @@
     is_nullable: false
     name: values
     type: const at::Tensor &
-  schema_order_cpp_signature: at::Tensor & (int64_t, int64_t, at::IntArrayRef, const at::Tensor &, const at::Tensor &, at::Tensor &)
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    kwarg_only: true
+    name: is_coalesced
+    type: ::std::optional<bool>
+  schema_order_cpp_signature: at::Tensor & (int64_t, int64_t, at::IntArrayRef, const at::Tensor &, const at::Tensor &, ::std::optional<bool>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: int64_t
@@ -180400,6 +191015,13 @@
     is_nullable: false
     name: values
     type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    kwarg_only: true
+    name: is_coalesced
+    type: ::std::optional<bool>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -180770,12 +191392,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _to_dense_out
-  operator_name: _to_dense
+- name: _sparse_mask_projection_out
+  operator_name: _sparse_mask_projection
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_to_dense.out(Tensor self, ScalarType? dtype=None, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::_sparse_mask_projection.out(Tensor self, Tensor mask, bool accumulate_matches=False, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -180789,132 +191411,215 @@
     is_nullable: false
     name: self
     type: const at::Tensor &
-  - annotation: null
-    default: c10::nullopt
-    dynamic_type: at::ScalarType
-    is_nullable: true
-    name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<at::ScalarType>, at::Tensor &)
-  schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: self
+    name: mask
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
-    dynamic_type: at::ScalarType
-    is_nullable: true
-    name: dtype
-    type: c10::optional<at::ScalarType>
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
-  method_of:
-  - Type
-  - namespace
-  mode: native
-  python_module: ''
-  returns:
-  - dynamic_type: at::Tensor
-    name: out
-    type: at::Tensor &
-  inplace: false
-  is_factory_method: false
-  abstract: true
-  device_guard: false
-  with_gil: false
-  deprecated: false
-  has_math_kernel: false
-- name: _coalesce_out
-  operator_name: _coalesce
-  overload_name: out
-  manual_kernel_registration: false
-  category_override: ''
-  schema_string: aten::_coalesce.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
-  arguments:
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
+    default: false
+    dynamic_type: bool
     is_nullable: false
-    name: self
-    type: const at::Tensor &
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::Tensor &)
+    name: accumulate_matches
+    type: bool
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
     name: self
     type: const at::Tensor &
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
-  method_of:
-  - Type
-  - namespace
-  mode: native
-  python_module: ''
-  returns:
-  - dynamic_type: at::Tensor
-    name: out
-    type: at::Tensor &
-  inplace: false
-  is_factory_method: false
-  abstract: true
-  device_guard: false
-  with_gil: false
-  deprecated: false
-  has_math_kernel: false
-- name: _coalesced_out
-  operator_name: _coalesced
-  overload_name: out
-  manual_kernel_registration: false
-  category_override: ''
-  schema_string: aten::_coalesced.out(Tensor self, bool coalesced, *, Tensor(a!) out) -> Tensor(a!)
-  arguments:
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: self
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    name: coalesced
-    type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, bool, at::Tensor &)
-  schema_order_arguments:
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: self
+    name: mask
     type: const at::Tensor &
   - annotation: null
+    default: false
     dynamic_type: bool
     is_nullable: false
-    name: coalesced
+    name: accumulate_matches
+    type: bool
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _to_dense_out
+  operator_name: _to_dense
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_to_dense.out(Tensor self, ScalarType? dtype=None, bool? masked_grad=None, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    name: masked_grad
+    type: ::std::optional<bool>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<at::ScalarType>, ::std::optional<bool>, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: bool
+    is_nullable: true
+    name: masked_grad
+    type: ::std::optional<bool>
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _coalesce_out
+  operator_name: _coalesce
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_coalesce.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _coalesced_out
+  operator_name: _coalesced
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_coalesced.out(Tensor self, bool coalesced, *, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    name: coalesced
+    type: bool
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, bool, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    name: coalesced
     type: bool
   - allocate: true
     annotation: a!
@@ -181112,12 +191817,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: to_sparse_out
-  operator_name: to_sparse
+- name: _to_sparse_out
+  operator_name: _to_sparse
   overload_name: sparse_dim_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::to_sparse.sparse_dim_out(Tensor self, int sparse_dim, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::_to_sparse.sparse_dim_out(Tensor self, int sparse_dim, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -181171,12 +191876,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: to_sparse_out
-  operator_name: to_sparse
+- name: _to_sparse_out
+  operator_name: _to_sparse
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::to_sparse.out(Tensor self, *, Layout? layout=None, int[2]? blocksize=None, int? dense_dim=None, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::_to_sparse.out(Tensor self, *, Layout? layout=None, int[2]? blocksize=None, int? dense_dim=None, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -181191,14 +191896,14 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     kwarg_only: true
@@ -181206,13 +191911,13 @@
     size: 2
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     kwarg_only: true
     name: dense_dim
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<at::Layout>, at::OptionalIntArrayRef, c10::optional<int64_t>, at::Tensor &)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<at::Layout>, at::OptionalIntArrayRef, ::std::optional<int64_t>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -181220,14 +191925,14 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     kwarg_only: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     kwarg_only: true
@@ -181235,12 +191940,12 @@
     size: 2
     type: at::OptionalIntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     kwarg_only: true
     name: dense_dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -181264,12 +191969,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: to_sparse_csr_out
-  operator_name: to_sparse_csr
+- name: _to_sparse_csr_out
+  operator_name: _to_sparse_csr
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::to_sparse_csr.out(Tensor self, int? dense_dim=None, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::_to_sparse_csr.out(Tensor self, int? dense_dim=None, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -181284,12 +191989,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dense_dim
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<int64_t>, at::Tensor &)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<int64_t>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -181297,11 +192002,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dense_dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -181325,12 +192030,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: to_sparse_csc_out
-  operator_name: to_sparse_csc
+- name: _to_sparse_csc_out
+  operator_name: _to_sparse_csc
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::to_sparse_csc.out(Tensor self, int? dense_dim=None, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::_to_sparse_csc.out(Tensor self, int? dense_dim=None, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -181345,12 +192050,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dense_dim
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<int64_t>, at::Tensor &)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<int64_t>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -181358,11 +192063,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dense_dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -181386,12 +192091,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: to_sparse_bsr_out
-  operator_name: to_sparse_bsr
+- name: _to_sparse_bsr_out
+  operator_name: _to_sparse_bsr
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::to_sparse_bsr.out(Tensor self, int[2] blocksize, int? dense_dim=None, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::_to_sparse_bsr.out(Tensor self, int[2] blocksize, int? dense_dim=None, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -181412,12 +192117,12 @@
     size: 2
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dense_dim
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, c10::optional<int64_t>, at::Tensor &)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, ::std::optional<int64_t>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -181431,11 +192136,11 @@
     size: 2
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dense_dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -181459,12 +192164,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: to_sparse_bsc_out
-  operator_name: to_sparse_bsc
+- name: _to_sparse_bsc_out
+  operator_name: _to_sparse_bsc
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::to_sparse_bsc.out(Tensor self, int[2] blocksize, int? dense_dim=None, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::_to_sparse_bsc.out(Tensor self, int[2] blocksize, int? dense_dim=None, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -181485,12 +192190,12 @@
     size: 2
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dense_dim
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, c10::optional<int64_t>, at::Tensor &)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, ::std::optional<int64_t>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -181504,11 +192209,11 @@
     size: 2
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dense_dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -181552,12 +192257,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<at::ScalarType>, at::Tensor &)
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<at::ScalarType>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -181565,11 +192270,11 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -181598,7 +192303,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::mkldnn_reorder_conv2d_weight.out(Tensor self, int[2] padding=0, int[2] stride=1, int[2] dilation=1, int groups=1, int[]? input_size=None, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::mkldnn_reorder_conv2d_weight.out(Tensor self, SymInt[2] padding=0, SymInt[2] stride=1, SymInt[2] dilation=1, SymInt groups=1, SymInt[]? input_size=None, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -181640,7 +192345,7 @@
     name: groups
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: input_size
@@ -181680,7 +192385,7 @@
     name: groups
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: input_size
@@ -181713,7 +192418,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::mkldnn_reorder_conv3d_weight.out(Tensor self, int[3] padding=0, int[3] stride=1, int[3] dilation=1, int groups=1, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::mkldnn_reorder_conv3d_weight.out(Tensor self, SymInt[3] padding=0, SymInt[3] stride=1, SymInt[3] dilation=1, SymInt groups=1, SymInt[]? input_size=None, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -181754,7 +192459,13 @@
     is_nullable: false
     name: groups
     type: int64_t
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, at::Tensor &)
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::IntArrayRef
+    is_nullable: true
+    name: input_size
+    type: at::OptionalIntArrayRef
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, int64_t, at::OptionalIntArrayRef, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -181788,6 +192499,12 @@
     is_nullable: false
     name: groups
     type: int64_t
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::IntArrayRef
+    is_nullable: true
+    name: input_size
+    type: at::OptionalIntArrayRef
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -183540,13 +194257,13 @@
     name: non_blocking
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, bool, c10::optional<at::MemoryFormat>, at::Tensor &)
+    type: ::std::optional<at::MemoryFormat>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, bool, ::std::optional<at::MemoryFormat>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -183561,12 +194278,12 @@
     name: non_blocking
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::MemoryFormat
     is_nullable: true
     kwarg_only: true
     name: memory_format
-    type: c10::optional<at::MemoryFormat>
+    type: ::std::optional<at::MemoryFormat>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -183809,7 +194526,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::lstm_mps_backward.out(Tensor grad_y, Tensor? grad_hy, Tensor? grad_cy, Tensor z_state, Tensor cell_state_fwd, Tensor input, Tensor layersOutputs, Tensor[] hx, Tensor[] params, bool has_biases, int num_layers, float dropout, bool train, bool bidirectional, bool batch_first, *, Tensor(a!) out0, Tensor(b!)[] out1, Tensor(c!)[] out2) -> ()
+  schema_string: aten::lstm_mps_backward.out(Tensor? grad_y, Tensor? grad_hy, Tensor? grad_cy, Tensor z_state, Tensor cell_state_fwd, Tensor input, Tensor layersOutputs, Tensor[] hx, Tensor[] params, bool has_biases, int num_layers, float dropout, bool train, bool bidirectional, bool batch_first, *, Tensor(a!) out0, Tensor(b!)[] out1, Tensor(c!)[] out2) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -183834,96 +194551,96 @@
     type: at::TensorList
   - annotation: null
     dynamic_type: at::Tensor
-    is_nullable: false
+    is_nullable: true
     name: grad_y
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: grad_hy
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: grad_cy
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: z_state
     type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: cell_state_fwd
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: input
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: layersOutputs
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: hx
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: params
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    name: has_biases
+    type: bool
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: num_layers
+    type: int64_t
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    name: dropout
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    name: train
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    name: bidirectional
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    name: batch_first
+    type: bool
+  schema_order_cpp_signature: void (const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, at::TensorList, at::TensorList, bool, int64_t, double, bool, bool, bool, at::Tensor &, at::TensorList, at::TensorList)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: grad_y
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_hy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_cy
-    type: const c10::optional<at::Tensor> &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: z_state
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: cell_state_fwd
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: input
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: layersOutputs
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: hx
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: params
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    name: has_biases
-    type: bool
-  - annotation: null
-    dynamic_type: int64_t
-    is_nullable: false
-    name: num_layers
-    type: int64_t
-  - annotation: null
-    dynamic_type: double
-    is_nullable: false
-    name: dropout
-    type: double
-  - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    name: train
-    type: bool
-  - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    name: bidirectional
-    type: bool
-  - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    name: batch_first
-    type: bool
-  schema_order_cpp_signature: void (const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, at::TensorList, at::TensorList, bool, int64_t, double, bool, bool, bool, at::Tensor &, at::TensorList, at::TensorList)
-  schema_order_arguments:
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: grad_y
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: true
-    name: grad_hy
-    type: const c10::optional<at::Tensor> &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: true
-    name: grad_cy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -184066,14 +194783,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: input_bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: hidden_bias
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, at::Tensor &, at::Tensor &, at::Tensor &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -184095,13 +194812,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: input_bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: hidden_bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -184177,12 +194894,12 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_hy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_cy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -184203,18 +194920,18 @@
     is_nullable: false
     name: has_bias
     type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, const at::Tensor &, bool, at::Tensor &, at::Tensor &, at::Tensor &)
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const at::Tensor &, const at::Tensor &, const at::Tensor &, bool, at::Tensor &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_hy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: true
     name: grad_cy
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
@@ -184319,14 +195036,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: input_bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: hidden_bias
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, at::Tensor &, at::Tensor &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -184348,13 +195065,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: input_bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     name: hidden_bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -185401,18 +196118,18 @@
     name: mask
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: mask_type
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, c10::optional<int64_t>, c10::optional<int64_t>, at::Tensor &)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, ::std::optional<int64_t>, ::std::optional<int64_t>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -185425,17 +196142,17 @@
     name: mask
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: mask_type
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -185489,12 +196206,12 @@
     name: mask
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, c10::optional<int64_t>, at::Tensor &)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, ::std::optional<int64_t>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -185512,11 +196229,11 @@
     name: mask
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: dim
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -186338,15 +197055,15 @@
     dynamic_type: int64_t
     is_nullable: true
     name: to
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, c10::optional<int64_t>, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, ::std::optional<int64_t>, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -186362,14 +197079,14 @@
     dynamic_type: int64_t
     is_nullable: true
     name: to
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -186414,15 +197131,15 @@
     dynamic_type: int64_t
     is_nullable: true
     name: to
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, c10::optional<int64_t>, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, ::std::optional<int64_t>, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -186438,14 +197155,14 @@
     dynamic_type: int64_t
     is_nullable: true
     name: to
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - namespace
@@ -186487,13 +197204,13 @@
     name: to
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -186506,12 +197223,12 @@
     name: to
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -186553,13 +197270,13 @@
     name: to
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, int64_t, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -186572,12 +197289,12 @@
     name: to
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - namespace
@@ -186614,13 +197331,13 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -186628,12 +197345,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -186670,13 +197387,13 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -186684,12 +197401,12 @@
     name: self
     type: const at::Tensor &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - namespace
@@ -186738,13 +197455,13 @@
     name: to
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, double, double, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, double, double, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -186764,12 +197481,12 @@
     name: to
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -186818,13 +197535,13 @@
     name: to
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, double, double, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, double, double, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -186844,12 +197561,12 @@
     name: to
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - namespace
@@ -186898,13 +197615,13 @@
     name: sigma
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, double, double, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, double, double, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -186924,12 +197641,12 @@
     name: sigma
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -186978,13 +197695,13 @@
     name: sigma
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, double, double, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, double, double, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -187004,12 +197721,12 @@
     name: sigma
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - namespace
@@ -187058,13 +197775,13 @@
     name: std
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, double, double, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, double, double, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -187084,12 +197801,12 @@
     name: std
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -187138,13 +197855,13 @@
     name: std
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, double, double, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, double, double, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -187164,12 +197881,12 @@
     name: std
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - namespace
@@ -187212,13 +197929,13 @@
     name: lambd
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, double, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, double, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -187232,12 +197949,12 @@
     name: lambd
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -187280,13 +197997,13 @@
     name: lambd
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, double, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, double, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -187300,12 +198017,12 @@
     name: lambd
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - namespace
@@ -187347,13 +198064,13 @@
     name: p
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, double, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, double, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -187366,12 +198083,12 @@
     name: p
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -187413,13 +198130,13 @@
     name: p
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor (const at::Tensor &, double, c10::optional<at::Generator>)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor (const at::Tensor &, double, ::std::optional<at::Generator>)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -187432,12 +198149,12 @@
     name: p
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   method_of:
   - Type
   - namespace
@@ -187810,19 +198527,19 @@
     name: bins
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     kwarg_only: true
     name: range
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -187830,7 +198547,7 @@
     kwarg_only: true
     name: density
     type: bool
-  schema_order_cpp_signature: void (const at::Tensor &, at::IntArrayRef, c10::optional<at::ArrayRef<double>>, const c10::optional<at::Tensor> &, bool, at::TensorList)
+  schema_order_cpp_signature: void (const at::Tensor &, at::IntArrayRef, ::std::optional<at::ArrayRef<double>>, const ::std::optional<at::Tensor> &, bool, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -187843,19 +198560,19 @@
     name: bins
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     kwarg_only: true
     name: range
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -187908,19 +198625,19 @@
     name: bins
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     kwarg_only: true
     name: range
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -187928,7 +198645,7 @@
     kwarg_only: true
     name: density
     type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, c10::optional<at::ArrayRef<double>>, const c10::optional<at::Tensor> &, bool, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, ::std::optional<at::ArrayRef<double>>, const ::std::optional<at::Tensor> &, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -187941,19 +198658,19 @@
     name: bins
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     kwarg_only: true
     name: range
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -188014,7 +198731,7 @@
     is_nullable: true
     kwarg_only: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -188022,7 +198739,7 @@
     kwarg_only: true
     name: density
     type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::TensorList, const c10::optional<at::Tensor> &, bool, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::TensorList, const ::std::optional<at::Tensor> &, bool, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -188040,7 +198757,7 @@
     is_nullable: true
     kwarg_only: true
     name: weight
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -188130,95 +198847,6 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: argsort_out
-  operator_name: argsort
-  overload_name: stable_out
-  manual_kernel_registration: false
-  category_override: ''
-  schema_string: aten::argsort.stable_out(Tensor self, *, bool stable, int dim=-1, bool descending=False, Tensor(a!) out) -> Tensor(a!)
-  arguments:
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: self
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    kwarg_only: true
-    name: stable
-    type: bool
-  - annotation: null
-    default: -1
-    dynamic_type: int64_t
-    is_nullable: false
-    kwarg_only: true
-    name: dim
-    type: int64_t
-  - annotation: null
-    default: false
-    dynamic_type: bool
-    is_nullable: false
-    kwarg_only: true
-    name: descending
-    type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, bool, int64_t, bool, at::Tensor &)
-  schema_order_arguments:
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: self
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    kwarg_only: true
-    name: stable
-    type: bool
-  - annotation: null
-    default: -1
-    dynamic_type: int64_t
-    is_nullable: false
-    kwarg_only: true
-    name: dim
-    type: int64_t
-  - annotation: null
-    default: false
-    dynamic_type: bool
-    is_nullable: false
-    kwarg_only: true
-    name: descending
-    type: bool
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
-  method_of:
-  - Type
-  - namespace
-  mode: native
-  python_module: ''
-  returns:
-  - dynamic_type: at::Tensor
-    name: out
-    type: at::Tensor &
-  inplace: false
-  is_factory_method: false
-  abstract: true
-  device_guard: false
-  with_gil: false
-  deprecated: false
-  has_math_kernel: false
 - name: unfold_backward_out
   operator_name: unfold_backward
   overload_name: out
@@ -188340,13 +198968,13 @@
     name: std
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, double, double, c10::optional<at::Generator>, at::Tensor &)
+    type: ::std::optional<at::Generator>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, double, double, ::std::optional<at::Generator>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -188366,12 +198994,12 @@
     name: std
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Generator
     is_nullable: true
     kwarg_only: true
     name: generator
-    type: c10::optional<at::Generator>
+    type: ::std::optional<at::Generator>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -188765,12 +199393,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_sub_out
-  operator_name: _foreach_sub
-  overload_name: Scalar_out
+- name: _foreach_add_out
+  operator_name: _foreach_add
+  overload_name: List_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_sub.Scalar_out(Tensor[] self, Scalar scalar, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_add.List_out(Tensor[] self, Tensor[] other, *, Scalar alpha=1, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -188785,11 +199413,18 @@
     name: self
     type: at::TensorList
   - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: other
+    type: at::TensorList
+  - annotation: null
+    default: 1
     dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalar
+    kwarg_only: true
+    name: alpha
     type: const at::Scalar &
-  schema_order_cpp_signature: void (at::TensorList, const at::Scalar &, at::TensorList)
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, const at::Scalar &, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -188797,9 +199432,16 @@
     name: self
     type: at::TensorList
   - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: other
+    type: at::TensorList
+  - annotation: null
+    default: 1
     dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalar
+    kwarg_only: true
+    name: alpha
     type: const at::Scalar &
   - allocate: true
     annotation: a!
@@ -188821,12 +199463,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_mul_out
-  operator_name: _foreach_mul
-  overload_name: Scalar_out
+- name: _foreach_add_out
+  operator_name: _foreach_add
+  overload_name: ScalarList_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_mul.Scalar_out(Tensor[] self, Scalar scalar, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_add.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -188841,11 +199483,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    name: scalar
-    type: const at::Scalar &
-  schema_order_cpp_signature: void (at::TensorList, const at::Scalar &, at::TensorList)
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
+  schema_order_cpp_signature: void (at::TensorList, at::ArrayRef<at::Scalar>, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -188853,10 +199495,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    name: scalar
-    type: const at::Scalar &
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -188877,12 +199519,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_div_out
-  operator_name: _foreach_div
-  overload_name: Scalar_out
+- name: _foreach_add_out
+  operator_name: _foreach_add
+  overload_name: Tensor_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_div.Scalar_out(Tensor[] self, Scalar scalar, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_add.Tensor_out(Tensor[] self, Tensor other, *, Scalar alpha=1, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -188897,11 +199539,18 @@
     name: self
     type: at::TensorList
   - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: other
+    type: const at::Tensor &
+  - annotation: null
+    default: 1
     dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalar
+    kwarg_only: true
+    name: alpha
     type: const at::Scalar &
-  schema_order_cpp_signature: void (at::TensorList, const at::Scalar &, at::TensorList)
+  schema_order_cpp_signature: void (at::TensorList, const at::Tensor &, const at::Scalar &, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -188909,9 +199558,16 @@
     name: self
     type: at::TensorList
   - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: other
+    type: const at::Tensor &
+  - annotation: null
+    default: 1
     dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalar
+    kwarg_only: true
+    name: alpha
     type: const at::Scalar &
   - allocate: true
     annotation: a!
@@ -188933,12 +199589,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_clamp_min_out
-  operator_name: _foreach_clamp_min
+- name: _foreach_sub_out
+  operator_name: _foreach_sub
   overload_name: Scalar_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_clamp_min.Scalar_out(Tensor[] self, Scalar scalar, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_sub.Scalar_out(Tensor[] self, Scalar scalar, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -188989,12 +199645,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_clamp_max_out
-  operator_name: _foreach_clamp_max
-  overload_name: Scalar_out
+- name: _foreach_sub_out
+  operator_name: _foreach_sub
+  overload_name: List_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_clamp_max.Scalar_out(Tensor[] self, Scalar scalar, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_sub.List_out(Tensor[] self, Tensor[] other, *, Scalar alpha=1, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -189009,11 +199665,18 @@
     name: self
     type: at::TensorList
   - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: other
+    type: at::TensorList
+  - annotation: null
+    default: 1
     dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalar
+    kwarg_only: true
+    name: alpha
     type: const at::Scalar &
-  schema_order_cpp_signature: void (at::TensorList, const at::Scalar &, at::TensorList)
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, const at::Scalar &, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -189021,9 +199684,16 @@
     name: self
     type: at::TensorList
   - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: other
+    type: at::TensorList
+  - annotation: null
+    default: 1
     dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalar
+    kwarg_only: true
+    name: alpha
     type: const at::Scalar &
   - allocate: true
     annotation: a!
@@ -189045,12 +199715,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_maximum_out
-  operator_name: _foreach_maximum
-  overload_name: Scalar_out
+- name: _foreach_sub_out
+  operator_name: _foreach_sub
+  overload_name: ScalarList_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_maximum.Scalar_out(Tensor[] self, Scalar scalar, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_sub.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -189065,11 +199735,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    name: scalar
-    type: const at::Scalar &
-  schema_order_cpp_signature: void (at::TensorList, const at::Scalar &, at::TensorList)
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
+  schema_order_cpp_signature: void (at::TensorList, at::ArrayRef<at::Scalar>, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -189077,10 +199747,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    name: scalar
-    type: const at::Scalar &
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -189101,12 +199771,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_minimum_out
-  operator_name: _foreach_minimum
+- name: _foreach_mul_out
+  operator_name: _foreach_mul
   overload_name: Scalar_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_minimum.Scalar_out(Tensor[] self, Scalar scalar, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_mul.Scalar_out(Tensor[] self, Scalar scalar, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -189157,12 +199827,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_add_out
-  operator_name: _foreach_add
+- name: _foreach_mul_out
+  operator_name: _foreach_mul
   overload_name: List_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_add.List_out(Tensor[] self, Tensor[] other, *, Scalar alpha=1, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_mul.List_out(Tensor[] self, Tensor[] other, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -189181,14 +199851,7 @@
     is_nullable: false
     name: other
     type: at::TensorList
-  - annotation: null
-    default: 1
-    dynamic_type: const at::Scalar &
-    is_nullable: false
-    kwarg_only: true
-    name: alpha
-    type: const at::Scalar &
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, const at::Scalar &, at::TensorList)
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -189200,13 +199863,6 @@
     is_nullable: false
     name: other
     type: at::TensorList
-  - annotation: null
-    default: 1
-    dynamic_type: const at::Scalar &
-    is_nullable: false
-    kwarg_only: true
-    name: alpha
-    type: const at::Scalar &
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -189227,12 +199883,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_sub_out
-  operator_name: _foreach_sub
-  overload_name: List_out
+- name: _foreach_mul_out
+  operator_name: _foreach_mul
+  overload_name: ScalarList_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_sub.List_out(Tensor[] self, Tensor[] other, *, Scalar alpha=1, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_mul.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -189247,18 +199903,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: other
-    type: at::TensorList
-  - annotation: null
-    default: 1
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    kwarg_only: true
-    name: alpha
-    type: const at::Scalar &
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, const at::Scalar &, at::TensorList)
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
+  schema_order_cpp_signature: void (at::TensorList, at::ArrayRef<at::Scalar>, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -189266,17 +199915,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: other
-    type: at::TensorList
-  - annotation: null
-    default: 1
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    kwarg_only: true
-    name: alpha
-    type: const at::Scalar &
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -189299,10 +199941,10 @@
   has_math_kernel: false
 - name: _foreach_mul_out
   operator_name: _foreach_mul
-  overload_name: List_out
+  overload_name: Tensor_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_mul.List_out(Tensor[] self, Tensor[] other, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_mul.Tensor_out(Tensor[] self, Tensor other, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -189317,11 +199959,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: at::Tensor
     is_nullable: false
     name: other
-    type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList)
+    type: const at::Tensor &
+  schema_order_cpp_signature: void (at::TensorList, const at::Tensor &, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -189329,10 +199971,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: at::Tensor
     is_nullable: false
     name: other
-    type: at::TensorList
+    type: const at::Tensor &
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -189355,10 +199997,10 @@
   has_math_kernel: false
 - name: _foreach_div_out
   operator_name: _foreach_div
-  overload_name: List_out
+  overload_name: Scalar_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_div.List_out(Tensor[] self, Tensor[] other, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_div.Scalar_out(Tensor[] self, Scalar scalar, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -189373,11 +200015,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: other
-    type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList)
+    name: scalar
+    type: const at::Scalar &
+  schema_order_cpp_signature: void (at::TensorList, const at::Scalar &, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -189385,10 +200027,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: other
-    type: at::TensorList
+    name: scalar
+    type: const at::Scalar &
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -189409,12 +200051,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_clamp_min_out
-  operator_name: _foreach_clamp_min
+- name: _foreach_div_out
+  operator_name: _foreach_div
   overload_name: List_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_clamp_min.List_out(Tensor[] self, Tensor[] other, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_div.List_out(Tensor[] self, Tensor[] other, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -189465,12 +200107,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_clamp_max_out
-  operator_name: _foreach_clamp_max
-  overload_name: List_out
+- name: _foreach_div_out
+  operator_name: _foreach_div
+  overload_name: ScalarList_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_clamp_max.List_out(Tensor[] self, Tensor[] other, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_div.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -189485,11 +200127,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    name: other
-    type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList)
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
+  schema_order_cpp_signature: void (at::TensorList, at::ArrayRef<at::Scalar>, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -189497,10 +200139,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    name: other
-    type: at::TensorList
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -189521,12 +200163,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_maximum_out
-  operator_name: _foreach_maximum
-  overload_name: List_out
+- name: _foreach_div_out
+  operator_name: _foreach_div
+  overload_name: Tensor_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_maximum.List_out(Tensor[] self, Tensor[] other, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_div.Tensor_out(Tensor[] self, Tensor other, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -189541,11 +200183,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: at::Tensor
     is_nullable: false
     name: other
-    type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList)
+    type: const at::Tensor &
+  schema_order_cpp_signature: void (at::TensorList, const at::Tensor &, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -189553,10 +200195,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: at::Tensor
     is_nullable: false
     name: other
-    type: at::TensorList
+    type: const at::Tensor &
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -189577,12 +200219,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_minimum_out
-  operator_name: _foreach_minimum
-  overload_name: List_out
+- name: _foreach_clamp_max_out
+  operator_name: _foreach_clamp_max
+  overload_name: Scalar_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_minimum.List_out(Tensor[] self, Tensor[] other, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_clamp_max.Scalar_out(Tensor[] self, Scalar scalar, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -189597,11 +200239,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: other
-    type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList)
+    name: scalar
+    type: const at::Scalar &
+  schema_order_cpp_signature: void (at::TensorList, const at::Scalar &, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -189609,10 +200251,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: other
-    type: at::TensorList
+    name: scalar
+    type: const at::Scalar &
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -189633,12 +200275,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_add_out
-  operator_name: _foreach_add
-  overload_name: ScalarList_out
+- name: _foreach_clamp_max_out
+  operator_name: _foreach_clamp_max
+  overload_name: List_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_add.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_clamp_max.List_out(Tensor[] self, Tensor[] other, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -189653,78 +200295,22 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
-    is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
-  schema_order_cpp_signature: void (at::TensorList, at::ArrayRef<at::Scalar>, at::TensorList)
-  schema_order_arguments:
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: self
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
-    is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
-  - allocate: true
-    annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
-    name: out
-    output: true
-    type: at::TensorList
-  method_of:
-  - Type
-  - namespace
-  mode: native
-  python_module: ''
-  returns: []
-  inplace: false
-  is_factory_method: false
-  abstract: true
-  device_guard: false
-  with_gil: false
-  deprecated: false
-  has_math_kernel: false
-- name: _foreach_sub_out
-  operator_name: _foreach_sub
-  overload_name: ScalarList_out
-  manual_kernel_registration: false
-  category_override: ''
-  schema_string: aten::_foreach_sub.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> ()
-  arguments:
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: out
-    output: true
+    name: other
     type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList)
+  schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
-    is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
-  schema_order_cpp_signature: void (at::TensorList, at::ArrayRef<at::Scalar>, at::TensorList)
-  schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: self
+    name: other
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
-    is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -189745,12 +200331,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_div_out
-  operator_name: _foreach_div
+- name: _foreach_clamp_max_out
+  operator_name: _foreach_clamp_max
   overload_name: ScalarList_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_div.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_clamp_max.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -189801,12 +200387,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_mul_out
-  operator_name: _foreach_mul
-  overload_name: ScalarList_out
+- name: _foreach_clamp_min_out
+  operator_name: _foreach_clamp_min
+  overload_name: Scalar_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_mul.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_clamp_min.Scalar_out(Tensor[] self, Scalar scalar, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -189821,11 +200407,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
-  schema_order_cpp_signature: void (at::TensorList, at::ArrayRef<at::Scalar>, at::TensorList)
+    name: scalar
+    type: const at::Scalar &
+  schema_order_cpp_signature: void (at::TensorList, const at::Scalar &, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -189833,10 +200419,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
+    name: scalar
+    type: const at::Scalar &
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -189859,10 +200445,10 @@
   has_math_kernel: false
 - name: _foreach_clamp_min_out
   operator_name: _foreach_clamp_min
-  overload_name: ScalarList_out
+  overload_name: List_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_clamp_min.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_clamp_min.List_out(Tensor[] self, Tensor[] other, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -189877,11 +200463,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
-  schema_order_cpp_signature: void (at::TensorList, at::ArrayRef<at::Scalar>, at::TensorList)
+    name: other
+    type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -189889,10 +200475,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
+    name: other
+    type: at::TensorList
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -189913,12 +200499,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_clamp_max_out
-  operator_name: _foreach_clamp_max
+- name: _foreach_clamp_min_out
+  operator_name: _foreach_clamp_min
   overload_name: ScalarList_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_clamp_max.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_clamp_min.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -189971,10 +200557,10 @@
   has_math_kernel: false
 - name: _foreach_maximum_out
   operator_name: _foreach_maximum
-  overload_name: ScalarList_out
+  overload_name: Scalar_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_maximum.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_maximum.Scalar_out(Tensor[] self, Scalar scalar, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -189989,11 +200575,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
-  schema_order_cpp_signature: void (at::TensorList, at::ArrayRef<at::Scalar>, at::TensorList)
+    name: scalar
+    type: const at::Scalar &
+  schema_order_cpp_signature: void (at::TensorList, const at::Scalar &, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -190001,10 +200587,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
+    name: scalar
+    type: const at::Scalar &
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -190025,12 +200611,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_minimum_out
-  operator_name: _foreach_minimum
-  overload_name: ScalarList_out
+- name: _foreach_maximum_out
+  operator_name: _foreach_maximum
+  overload_name: List_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_minimum.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_maximum.List_out(Tensor[] self, Tensor[] other, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -190045,11 +200631,11 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
-  schema_order_cpp_signature: void (at::TensorList, at::ArrayRef<at::Scalar>, at::TensorList)
+    name: other
+    type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -190057,10 +200643,10 @@
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
+    name: other
+    type: at::TensorList
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -190081,12 +200667,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_exp_out
-  operator_name: _foreach_exp
-  overload_name: out
+- name: _foreach_maximum_out
+  operator_name: _foreach_maximum
+  overload_name: ScalarList_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_exp.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_maximum.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -190100,13 +200686,23 @@
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+  - annotation: null
+    dynamic_type: at::ArrayRef<at::Scalar>
+    is_nullable: false
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
+  schema_order_cpp_signature: void (at::TensorList, at::ArrayRef<at::Scalar>, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::ArrayRef<at::Scalar>
+    is_nullable: false
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -190127,12 +200723,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_zero_out
-  operator_name: _foreach_zero
-  overload_name: out
+- name: _foreach_minimum_out
+  operator_name: _foreach_minimum
+  overload_name: Scalar_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_zero.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_minimum.Scalar_out(Tensor[] self, Scalar scalar, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -190146,13 +200742,23 @@
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: scalar
+    type: const at::Scalar &
+  schema_order_cpp_signature: void (at::TensorList, const at::Scalar &, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: scalar
+    type: const at::Scalar &
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -190173,35 +200779,55 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_zero
-  operator_name: _foreach_zero
-  overload_name: ''
+- name: _foreach_minimum_out
+  operator_name: _foreach_minimum
+  overload_name: List_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_zero(Tensor[] self) -> Tensor[] self_out
+  schema_string: aten::_foreach_minimum.List_out(Tensor[] self, Tensor[] other, *, Tensor(a!)[] out) -> ()
   arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: out
+    output: true
+    type: at::TensorList
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: other
+    type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: other
+    type: at::TensorList
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: out
+    output: true
+    type: at::TensorList
   method_of:
   - Type
   - namespace
   mode: native
   python_module: ''
-  returns:
-  - dynamic_type: at::TensorList
-    field_name: self_out
-    name: self_out
-    type: ::std::vector<at::Tensor>
+  returns: []
   inplace: false
   is_factory_method: false
   abstract: true
@@ -190209,12 +200835,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_sqrt_out
-  operator_name: _foreach_sqrt
-  overload_name: out
+- name: _foreach_minimum_out
+  operator_name: _foreach_minimum
+  overload_name: ScalarList_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_sqrt.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_minimum.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -190228,13 +200854,23 @@
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+  - annotation: null
+    dynamic_type: at::ArrayRef<at::Scalar>
+    is_nullable: false
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
+  schema_order_cpp_signature: void (at::TensorList, at::ArrayRef<at::Scalar>, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::ArrayRef<at::Scalar>
+    is_nullable: false
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -190255,12 +200891,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_abs_out
-  operator_name: _foreach_abs
-  overload_name: out
+- name: _foreach_addcdiv_out
+  operator_name: _foreach_addcdiv
+  overload_name: Scalar_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_abs.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_addcdiv.Scalar_out(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar value=1, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -190274,13 +200910,45 @@
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    default: 1
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: value
+    type: const at::Scalar &
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, const at::Scalar &, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    default: 1
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: value
+    type: const at::Scalar &
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -190301,12 +200969,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_acos_out
-  operator_name: _foreach_acos
-  overload_name: out
+- name: _foreach_addcdiv_out
+  operator_name: _foreach_addcdiv
+  overload_name: ScalarList_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_acos.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_addcdiv.ScalarList_out(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar[] scalars, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -190320,13 +200988,43 @@
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::ArrayRef<at::Scalar>
+    is_nullable: false
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, at::ArrayRef<at::Scalar>, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::ArrayRef<at::Scalar>
+    is_nullable: false
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -190347,12 +201045,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_asin_out
-  operator_name: _foreach_asin
-  overload_name: out
+- name: _foreach_addcdiv_out
+  operator_name: _foreach_addcdiv
+  overload_name: Tensor_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_asin.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_addcdiv.Tensor_out(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Tensor scalars, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -190366,13 +201064,43 @@
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: scalars
+    type: const at::Tensor &
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, const at::Tensor &, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: scalars
+    type: const at::Tensor &
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -190393,12 +201121,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_atan_out
-  operator_name: _foreach_atan
-  overload_name: out
+- name: _foreach_addcmul_out
+  operator_name: _foreach_addcmul
+  overload_name: Scalar_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_atan.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_addcmul.Scalar_out(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar value=1, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -190412,13 +201140,45 @@
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    default: 1
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: value
+    type: const at::Scalar &
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, const at::Scalar &, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    default: 1
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: value
+    type: const at::Scalar &
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -190439,12 +201199,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_ceil_out
-  operator_name: _foreach_ceil
-  overload_name: out
+- name: _foreach_addcmul_out
+  operator_name: _foreach_addcmul
+  overload_name: ScalarList_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_ceil.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_addcmul.ScalarList_out(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar[] scalars, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -190458,13 +201218,43 @@
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::ArrayRef<at::Scalar>
+    is_nullable: false
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, at::ArrayRef<at::Scalar>, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::ArrayRef<at::Scalar>
+    is_nullable: false
+    name: scalars
+    type: at::ArrayRef<at::Scalar>
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -190485,12 +201275,88 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_cos_out
-  operator_name: _foreach_cos
+- name: _foreach_addcmul_out
+  operator_name: _foreach_addcmul
+  overload_name: Tensor_out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foreach_addcmul.Tensor_out(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Tensor scalars, *, Tensor(a!)[] out) -> ()
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: out
+    output: true
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: scalars
+    type: const at::Tensor &
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, const at::Tensor &, at::TensorList)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensor2
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: scalars
+    type: const at::Tensor &
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: out
+    output: true
+    type: at::TensorList
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foreach_abs_out
+  operator_name: _foreach_abs
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_cos.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_abs.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -190531,12 +201397,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_cosh_out
-  operator_name: _foreach_cosh
+- name: _foreach_acos_out
+  operator_name: _foreach_acos
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_cosh.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_acos.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -190577,12 +201443,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_erf_out
-  operator_name: _foreach_erf
+- name: _foreach_asin_out
+  operator_name: _foreach_asin
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_erf.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_asin.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -190623,12 +201489,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_erfc_out
-  operator_name: _foreach_erfc
+- name: _foreach_atan_out
+  operator_name: _foreach_atan
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_erfc.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_atan.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -190669,12 +201535,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_expm1_out
-  operator_name: _foreach_expm1
+- name: _foreach_ceil_out
+  operator_name: _foreach_ceil
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_expm1.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_ceil.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -190715,12 +201581,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_floor_out
-  operator_name: _foreach_floor
+- name: _foreach_cos_out
+  operator_name: _foreach_cos
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_floor.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_cos.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -190761,12 +201627,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_log_out
-  operator_name: _foreach_log
+- name: _foreach_cosh_out
+  operator_name: _foreach_cosh
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_log.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_cosh.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -190807,12 +201673,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_log10_out
-  operator_name: _foreach_log10
+- name: _foreach_erf_out
+  operator_name: _foreach_erf
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_log10.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_erf.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -190853,12 +201719,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_log1p_out
-  operator_name: _foreach_log1p
+- name: _foreach_erfc_out
+  operator_name: _foreach_erfc
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_log1p.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_erfc.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -190899,12 +201765,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_log2_out
-  operator_name: _foreach_log2
+- name: _foreach_exp_out
+  operator_name: _foreach_exp
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_log2.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_exp.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -190945,12 +201811,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_neg_out
-  operator_name: _foreach_neg
+- name: _foreach_expm1_out
+  operator_name: _foreach_expm1
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_neg.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_expm1.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -190991,12 +201857,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_tan_out
-  operator_name: _foreach_tan
+- name: _foreach_floor_out
+  operator_name: _foreach_floor
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_tan.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_floor.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -191037,12 +201903,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_tanh_out
-  operator_name: _foreach_tanh
+- name: _foreach_frac_out
+  operator_name: _foreach_frac
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_tanh.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_frac.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -191083,12 +201949,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_sin_out
-  operator_name: _foreach_sin
-  overload_name: out
+- name: _foreach_lerp_out
+  operator_name: _foreach_lerp
+  overload_name: List_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_sin.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_lerp.List_out(Tensor[] self, Tensor[] tensors1, Tensor[] weights, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -191102,13 +201968,33 @@
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensors1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: weights
+    type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensors1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: weights
+    type: at::TensorList
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -191129,12 +202015,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_sinh_out
-  operator_name: _foreach_sinh
-  overload_name: out
+- name: _foreach_lerp_out
+  operator_name: _foreach_lerp
+  overload_name: Scalar_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_sinh.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_lerp.Scalar_out(Tensor[] self, Tensor[] tensors1, Scalar weight, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -191148,13 +202034,33 @@
     is_nullable: false
     name: self
     type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensors1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: weight
+    type: const at::Scalar &
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, const at::Scalar &, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: tensors1
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: weight
+    type: const at::Scalar &
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -191175,12 +202081,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_round_out
-  operator_name: _foreach_round
+- name: _foreach_lgamma_out
+  operator_name: _foreach_lgamma
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_round.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_lgamma.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -191221,12 +202127,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_lgamma_out
-  operator_name: _foreach_lgamma
+- name: _foreach_log_out
+  operator_name: _foreach_log
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_lgamma.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_log.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -191267,12 +202173,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_frac_out
-  operator_name: _foreach_frac
+- name: _foreach_log10_out
+  operator_name: _foreach_log10
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_frac.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_log10.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -191313,12 +202219,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_reciprocal_out
-  operator_name: _foreach_reciprocal
+- name: _foreach_log1p_out
+  operator_name: _foreach_log1p
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_reciprocal.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_log1p.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -191359,12 +202265,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_sigmoid_out
-  operator_name: _foreach_sigmoid
+- name: _foreach_log2_out
+  operator_name: _foreach_log2
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_sigmoid.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_log2.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -191405,12 +202311,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_trunc_out
-  operator_name: _foreach_trunc
+- name: _foreach_max_out
+  operator_name: _foreach_max
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_trunc.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_max.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -191451,12 +202357,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_addcdiv_out
-  operator_name: _foreach_addcdiv
-  overload_name: Scalar_out
+- name: _foreach_neg_out
+  operator_name: _foreach_neg
+  overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_addcdiv.Scalar_out(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar value=1, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_neg.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -191470,45 +202376,83 @@
     is_nullable: false
     name: self
     type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+  schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor1
+    name: self
     type: at::TensorList
-  - annotation: null
+  - allocate: true
+    annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor2
+    name: out
+    output: true
     type: at::TensorList
-  - annotation: null
-    default: 1
-    dynamic_type: const at::Scalar &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foreach_norm_out
+  operator_name: _foreach_norm
+  overload_name: Scalar_out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foreach_norm.Scalar_out(Tensor[] self, Scalar ord=2, ScalarType? dtype=None, *, Tensor(a!)[] out) -> ()
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: value
-    type: const at::Scalar &
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, const at::Scalar &, at::TensorList)
-  schema_order_arguments:
+    name: out
+    output: true
+    type: at::TensorList
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
   - annotation: null
-    dynamic_type: at::TensorList
+    default: 2
+    dynamic_type: const at::Scalar &
     is_nullable: false
-    name: tensor1
-    type: at::TensorList
+    name: ord
+    type: const at::Scalar &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
+  schema_order_cpp_signature: void (at::TensorList, const at::Scalar &, ::std::optional<at::ScalarType>, at::TensorList)
+  schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor2
+    name: self
     type: at::TensorList
   - annotation: null
-    default: 1
+    default: 2
     dynamic_type: const at::Scalar &
     is_nullable: false
-    name: value
+    name: ord
     type: const at::Scalar &
+  - annotation: null
+    default: ::std::nullopt
+    dynamic_type: at::ScalarType
+    is_nullable: true
+    name: dtype
+    type: ::std::optional<at::ScalarType>
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -191529,12 +202473,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_addcmul_out
-  operator_name: _foreach_addcmul
-  overload_name: Scalar_out
+- name: _foreach_pow_out
+  operator_name: _foreach_pow
+  overload_name: List_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_addcmul.Scalar_out(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar value=1, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_pow.List_out(Tensor[] self, Tensor[] exponent, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -191551,41 +202495,75 @@
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor1
+    name: exponent
     type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList)
+  schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor2
+    name: self
     type: at::TensorList
   - annotation: null
-    default: 1
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: value
-    type: const at::Scalar &
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, const at::Scalar &, at::TensorList)
-  schema_order_arguments:
-  - annotation: null
+    name: exponent
+    type: at::TensorList
+  - allocate: true
+    annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
-    name: self
+    name: out
+    output: true
+    type: at::TensorList
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foreach_pow_out
+  operator_name: _foreach_pow
+  overload_name: Scalar_out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foreach_pow.Scalar_out(Tensor[] self, Scalar exponent, *, Tensor(a!)[] out) -> ()
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: out
+    output: true
     type: at::TensorList
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor1
+    name: self
     type: at::TensorList
+  - annotation: null
+    dynamic_type: const at::Scalar &
+    is_nullable: false
+    name: exponent
+    type: const at::Scalar &
+  schema_order_cpp_signature: void (at::TensorList, const at::Scalar &, at::TensorList)
+  schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor2
+    name: self
     type: at::TensorList
   - annotation: null
-    default: 1
     dynamic_type: const at::Scalar &
     is_nullable: false
-    name: value
+    name: exponent
     type: const at::Scalar &
   - allocate: true
     annotation: a!
@@ -191607,12 +202585,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_addcdiv_out
-  operator_name: _foreach_addcdiv
+- name: _foreach_pow_out
+  operator_name: _foreach_pow
   overload_name: ScalarList_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_addcdiv.ScalarList_out(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar[] scalars, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_pow.ScalarList_out(Tensor[] self, Scalar[] exponent, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -191626,42 +202604,22 @@
     is_nullable: false
     name: self
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor1
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor2
-    type: at::TensorList
   - annotation: null
     dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    name: scalars
+    name: exponent
     type: at::ArrayRef<at::Scalar>
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, at::ArrayRef<at::Scalar>, at::TensorList)
+  schema_order_cpp_signature: void (at::TensorList, at::ArrayRef<at::Scalar>, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor1
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: tensor2
-    type: at::TensorList
   - annotation: null
     dynamic_type: at::ArrayRef<at::Scalar>
     is_nullable: false
-    name: scalars
+    name: exponent
     type: at::ArrayRef<at::Scalar>
   - allocate: true
     annotation: a!
@@ -191683,12 +202641,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_addcdiv_out
-  operator_name: _foreach_addcdiv
-  overload_name: Tensor_out
+- name: _foreach_reciprocal_out
+  operator_name: _foreach_reciprocal
+  overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_addcdiv.Tensor_out(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Tensor scalars, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_reciprocal.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -191702,43 +202660,59 @@
     is_nullable: false
     name: self
     type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+  schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor1
+    name: self
     type: at::TensorList
-  - annotation: null
+  - allocate: true
+    annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor2
+    name: out
+    output: true
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: scalars
-    type: const at::Tensor &
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, const at::Tensor &, at::TensorList)
-  schema_order_arguments:
-  - annotation: null
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foreach_round_out
+  operator_name: _foreach_round
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foreach_round.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  arguments:
+  - allocate: true
+    annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
-    name: self
+    name: out
+    output: true
     type: at::TensorList
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor1
+    name: self
     type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+  schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor2
+    name: self
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: scalars
-    type: const at::Tensor &
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -191759,12 +202733,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_addcmul_out
-  operator_name: _foreach_addcmul
-  overload_name: ScalarList_out
+- name: _foreach_sigmoid_out
+  operator_name: _foreach_sigmoid
+  overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_addcmul.ScalarList_out(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar[] scalars, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_sigmoid.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -191778,43 +202752,59 @@
     is_nullable: false
     name: self
     type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+  schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor1
+    name: self
     type: at::TensorList
-  - annotation: null
+  - allocate: true
+    annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor2
+    name: out
+    output: true
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
-    is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, at::ArrayRef<at::Scalar>, at::TensorList)
-  schema_order_arguments:
-  - annotation: null
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foreach_sign_out
+  operator_name: _foreach_sign
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foreach_sign.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  arguments:
+  - allocate: true
+    annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
-    name: self
+    name: out
+    output: true
     type: at::TensorList
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor1
+    name: self
     type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+  schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor2
+    name: self
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::ArrayRef<at::Scalar>
-    is_nullable: false
-    name: scalars
-    type: at::ArrayRef<at::Scalar>
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -191835,12 +202825,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_addcmul_out
-  operator_name: _foreach_addcmul
-  overload_name: Tensor_out
+- name: _foreach_sin_out
+  operator_name: _foreach_sin
+  overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_addcmul.Tensor_out(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Tensor scalars, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_sin.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -191854,43 +202844,59 @@
     is_nullable: false
     name: self
     type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+  schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor1
+    name: self
     type: at::TensorList
-  - annotation: null
+  - allocate: true
+    annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor2
+    name: out
+    output: true
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: scalars
-    type: const at::Tensor &
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, const at::Tensor &, at::TensorList)
-  schema_order_arguments:
-  - annotation: null
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foreach_sinh_out
+  operator_name: _foreach_sinh
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foreach_sinh.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  arguments:
+  - allocate: true
+    annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
-    name: self
+    name: out
+    output: true
     type: at::TensorList
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor1
+    name: self
     type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+  schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensor2
+    name: self
     type: at::TensorList
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: scalars
-    type: const at::Tensor &
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -191911,12 +202917,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_norm_out
-  operator_name: _foreach_norm
-  overload_name: Scalar_out
+- name: _foreach_sqrt_out
+  operator_name: _foreach_sqrt
+  overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_norm.Scalar_out(Tensor[] self, Scalar ord=2, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_sqrt.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -191930,25 +202936,13 @@
     is_nullable: false
     name: self
     type: at::TensorList
-  - annotation: null
-    default: 2
-    dynamic_type: const at::Scalar &
-    is_nullable: false
-    name: ord
-    type: const at::Scalar &
-  schema_order_cpp_signature: void (at::TensorList, const at::Scalar &, at::TensorList)
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: self
     type: at::TensorList
-  - annotation: null
-    default: 2
-    dynamic_type: const at::Scalar &
-    is_nullable: false
-    name: ord
-    type: const at::Scalar &
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -191969,12 +202963,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_lerp_out
-  operator_name: _foreach_lerp
-  overload_name: List_out
+- name: _foreach_tan_out
+  operator_name: _foreach_tan
+  overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_lerp.List_out(Tensor[] self, Tensor[] tensors1, Tensor[] weights, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_tan.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -191988,32 +202982,58 @@
     is_nullable: false
     name: self
     type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+  schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensors1
+    name: self
     type: at::TensorList
-  - annotation: null
+  - allocate: true
+    annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
-    name: weights
+    name: out
+    output: true
     type: at::TensorList
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, at::TensorList)
-  schema_order_arguments:
-  - annotation: null
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foreach_tanh_out
+  operator_name: _foreach_tanh
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foreach_tanh.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  arguments:
+  - allocate: true
+    annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
-    name: self
+    name: out
+    output: true
     type: at::TensorList
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensors1
+    name: self
     type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+  schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: weights
+    name: self
     type: at::TensorList
   - allocate: true
     annotation: a!
@@ -192035,12 +203055,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foreach_lerp_out
-  operator_name: _foreach_lerp
-  overload_name: Scalar_out
+- name: _foreach_trunc_out
+  operator_name: _foreach_trunc
+  overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foreach_lerp.Scalar_out(Tensor[] self, Tensor[] tensors1, Scalar weight, *, Tensor(a!)[] out) -> ()
+  schema_string: aten::_foreach_trunc.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -192054,33 +203074,59 @@
     is_nullable: false
     name: self
     type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+  schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensors1
+    name: self
     type: at::TensorList
-  - annotation: null
-    dynamic_type: const at::Scalar &
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: weight
-    type: const at::Scalar &
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, const at::Scalar &, at::TensorList)
-  schema_order_arguments:
-  - annotation: null
+    name: out
+    output: true
+    type: at::TensorList
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foreach_zero_out
+  operator_name: _foreach_zero
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foreach_zero.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+  arguments:
+  - allocate: true
+    annotation: a!
     dynamic_type: at::TensorList
     is_nullable: false
-    name: self
+    name: out
+    output: true
     type: at::TensorList
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: tensors1
+    name: self
     type: at::TensorList
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList)
+  schema_order_arguments:
   - annotation: null
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: weight
-    type: const at::Scalar &
+    name: self
+    type: at::TensorList
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -192101,86 +203147,103 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: bucketize_out
-  operator_name: bucketize
-  overload_name: Scalar_out
+- name: _foreach_zero
+  operator_name: _foreach_zero
+  overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::bucketize.Scalar_out(Scalar self, Tensor boundaries, *, bool out_int32=False, bool right=False, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::_foreach_zero(Tensor[] self) -> Tensor[] self_out
+  arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  schema_order_cpp_signature: ::std::vector<at::Tensor> (at::TensorList)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::TensorList
+    field_name: self_out
+    name: self_out
+    type: ::std::vector<at::Tensor>
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foreach_copy_out
+  operator_name: _foreach_copy
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foreach_copy.out(Tensor[] self, Tensor[] src, bool non_blocking=False, *, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
-    dynamic_type: at::Tensor
+    dynamic_type: at::TensorList
     is_nullable: false
     name: out
     output: true
-    type: at::Tensor &
+    type: at::TensorList
   - annotation: null
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::TensorList
     is_nullable: false
     name: self
-    type: const at::Scalar &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: boundaries
-    type: const at::Tensor &
+    type: at::TensorList
   - annotation: null
-    default: false
-    dynamic_type: bool
+    dynamic_type: at::TensorList
     is_nullable: false
-    kwarg_only: true
-    name: out_int32
-    type: bool
+    name: src
+    type: at::TensorList
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
-    kwarg_only: true
-    name: right
+    name: non_blocking
     type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Scalar &, const at::Tensor &, bool, bool, at::Tensor &)
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, bool, at::TensorList)
   schema_order_arguments:
   - annotation: null
-    dynamic_type: const at::Scalar &
+    dynamic_type: at::TensorList
     is_nullable: false
     name: self
-    type: const at::Scalar &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: boundaries
-    type: const at::Tensor &
+    type: at::TensorList
   - annotation: null
-    default: false
-    dynamic_type: bool
+    dynamic_type: at::TensorList
     is_nullable: false
-    kwarg_only: true
-    name: out_int32
-    type: bool
+    name: src
+    type: at::TensorList
   - annotation: null
     default: false
     dynamic_type: bool
     is_nullable: false
-    kwarg_only: true
-    name: right
+    name: non_blocking
     type: bool
   - allocate: true
     annotation: a!
-    dynamic_type: at::Tensor
+    dynamic_type: at::TensorList
     is_nullable: false
     name: out
     output: true
-    type: at::Tensor &
+    type: at::TensorList
   method_of:
   - Type
   - namespace
   mode: native
   python_module: ''
-  returns:
-  - dynamic_type: at::Tensor
-    name: out
-    type: at::Tensor &
+  returns: []
   inplace: false
   is_factory_method: false
   abstract: true
@@ -192188,12 +203251,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: searchsorted_out
-  operator_name: searchsorted
+- name: bucketize_out
+  operator_name: bucketize
   overload_name: Scalar_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::searchsorted.Scalar_out(Tensor sorted_sequence, Scalar self, *, bool out_int32=False, bool right=False, str? side=None, Tensor? sorter=None, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::bucketize.Scalar_out(Scalar self, Tensor boundaries, *, bool out_int32=False, bool right=False, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -192202,16 +203265,16 @@
     name: out
     output: true
     type: at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: sorted_sequence
-    type: const at::Tensor &
   - annotation: null
     dynamic_type: const at::Scalar &
     is_nullable: false
     name: self
     type: const at::Scalar &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: boundaries
+    type: const at::Tensor &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -192226,32 +203289,18 @@
     kwarg_only: true
     name: right
     type: bool
-  - annotation: null
-    default: c10::nullopt
-    dynamic_type: c10::string_view
-    is_nullable: true
-    kwarg_only: true
-    name: side
-    type: c10::optional<c10::string_view>
-  - annotation: null
-    default: '{}'
-    dynamic_type: at::Tensor
-    is_nullable: true
-    kwarg_only: true
-    name: sorter
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Scalar &, bool, bool, c10::optional<c10::string_view>, const c10::optional<at::Tensor> &, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Scalar &, const at::Tensor &, bool, bool, at::Tensor &)
   schema_order_arguments:
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: sorted_sequence
-    type: const at::Tensor &
   - annotation: null
     dynamic_type: const at::Scalar &
     is_nullable: false
     name: self
     type: const at::Scalar &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: boundaries
+    type: const at::Tensor &
   - annotation: null
     default: false
     dynamic_type: bool
@@ -192266,20 +203315,6 @@
     kwarg_only: true
     name: right
     type: bool
-  - annotation: null
-    default: c10::nullopt
-    dynamic_type: c10::string_view
-    is_nullable: true
-    kwarg_only: true
-    name: side
-    type: c10::optional<c10::string_view>
-  - annotation: null
-    default: '{}'
-    dynamic_type: at::Tensor
-    is_nullable: true
-    kwarg_only: true
-    name: sorter
-    type: const c10::optional<at::Tensor> &
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -192953,7 +203988,7 @@
   overload_name: output_mask_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_slow_conv2d_backward.output_mask_out(Tensor grad_output, Tensor self, Tensor weight, int[2] kernel_size, int[2] stride, int[2] padding, bool[3] output_mask, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!))
+  schema_string: aten::_slow_conv2d_backward.output_mask_out(Tensor grad_output, Tensor self, Tensor weight, SymInt[2] kernel_size, SymInt[2] stride, SymInt[2] padding, bool[3] output_mask, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!))
   arguments:
   - allocate: true
     annotation: a!
@@ -193102,7 +204137,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::conv_depthwise3d.out(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias, int[3] stride, SymInt[3] padding, int[3] dilation, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::conv_depthwise3d.out(Tensor self, Tensor weight, SymInt[3] kernel_size, Tensor? bias, SymInt[3] stride, SymInt[3] padding, SymInt[3] dilation, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -193131,7 +204166,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -193150,7 +204185,7 @@
     name: dilation
     size: 3
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -193172,7 +204207,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     dynamic_type: at::IntArrayRef
     is_nullable: false
@@ -193219,7 +204254,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::slow_conv_dilated2d.out(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias=None, int[2] stride=1, SymInt[2] padding=0, int[2] dilation=1, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::slow_conv_dilated2d.out(Tensor self, Tensor weight, SymInt[2] kernel_size, Tensor? bias=None, SymInt[2] stride=1, SymInt[2] padding=0, SymInt[2] dilation=1, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -193249,7 +204284,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -193271,7 +204306,7 @@
     name: dilation
     size: 2
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -193294,7 +204329,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -193344,7 +204379,7 @@
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::slow_conv_dilated3d.out(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias=None, int[3] stride=1, SymInt[3] padding=0, int[3] dilation=1, *, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::slow_conv_dilated3d.out(Tensor self, Tensor weight, SymInt[3] kernel_size, Tensor? bias=None, SymInt[3] stride=1, SymInt[3] padding=0, SymInt[3] dilation=1, *, Tensor(a!) out) -> Tensor(a!)
   arguments:
   - allocate: true
     annotation: a!
@@ -193374,7 +204409,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -193396,7 +204431,7 @@
     name: dilation
     size: 3
     type: at::IntArrayRef
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const c10::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, at::IntArrayRef, const ::std::optional<at::Tensor> &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -193419,7 +204454,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: bias
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 1
     dynamic_type: at::IntArrayRef
@@ -193705,8 +204740,8 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: addends
-    type: c10::optional<at::ArrayRef<double>>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::optional<at::ArrayRef<double>>, at::Tensor &)
+    type: ::std::optional<at::ArrayRef<double>>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, ::std::optional<at::ArrayRef<double>>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -193717,7 +204752,7 @@
     dynamic_type: at::ArrayRef<double>
     is_nullable: true
     name: addends
-    type: c10::optional<at::ArrayRef<double>>
+    type: ::std::optional<at::ArrayRef<double>>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -193918,21 +204953,21 @@
     is_nullable: true
     kwarg_only: true
     name: lengths
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: indices
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: offsets
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 0
     dynamic_type: int64_t
@@ -193948,13 +204983,13 @@
     name: unsafe
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: initial
-    type: const c10::optional<at::Scalar> &
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::string_view, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, int64_t, bool, const c10::optional<at::Scalar> &, at::Tensor &)
+    type: const ::std::optional<at::Scalar> &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, c10::string_view, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, int64_t, bool, const ::std::optional<at::Scalar> &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -193972,21 +205007,21 @@
     is_nullable: true
     kwarg_only: true
     name: lengths
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: indices
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: offsets
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 0
     dynamic_type: int64_t
@@ -194002,12 +205037,12 @@
     name: unsafe
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: initial
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -194071,14 +205106,14 @@
     is_nullable: true
     kwarg_only: true
     name: lengths
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: offsets
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 0
     dynamic_type: int64_t
@@ -194087,13 +205122,13 @@
     name: axis
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: initial
-    type: const c10::optional<at::Scalar> &
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, c10::string_view, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, int64_t, const c10::optional<at::Scalar> &, at::Tensor &)
+    type: const ::std::optional<at::Scalar> &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, c10::string_view, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, int64_t, const ::std::optional<at::Scalar> &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -194121,14 +205156,14 @@
     is_nullable: true
     kwarg_only: true
     name: lengths
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: offsets
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: 0
     dynamic_type: int64_t
@@ -194137,12 +205172,12 @@
     name: axis
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: const at::Scalar &
     is_nullable: true
     kwarg_only: true
     name: initial
-    type: const c10::optional<at::Scalar> &
+    type: const ::std::optional<at::Scalar> &
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -194186,30 +205221,30 @@
     name: list
     type: at::TensorList
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     name: pin_memory
-    type: c10::optional<bool>
-  schema_order_cpp_signature: at::Tensor & (at::TensorList, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>, at::Tensor &)
+    type: ::std::optional<bool>
+  schema_order_cpp_signature: at::Tensor & (at::TensorList, ::std::optional<at::ScalarType>, ::std::optional<at::Layout>, ::std::optional<at::Device>, ::std::optional<bool>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -194217,29 +205252,29 @@
     name: list
     type: at::TensorList
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::ScalarType
     is_nullable: true
     name: dtype
-    type: c10::optional<at::ScalarType>
+    type: ::std::optional<at::ScalarType>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Layout
     is_nullable: true
     name: layout
-    type: c10::optional<at::Layout>
+    type: ::std::optional<at::Layout>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::Device
     is_nullable: true
     name: device
-    type: c10::optional<at::Device>
+    type: ::std::optional<at::Device>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: bool
     is_nullable: true
     name: pin_memory
-    type: c10::optional<bool>
+    type: ::std::optional<bool>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -194617,12 +205652,12 @@
     name: stride
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: storage_offset
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, c10::optional<int64_t>, at::Tensor &)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, ::std::optional<int64_t>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -194640,11 +205675,11 @@
     name: stride
     type: at::IntArrayRef
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: storage_offset
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -195157,24 +206192,24 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: start
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: end
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: 1
     dynamic_type: int64_t
     is_nullable: false
     name: step
     type: int64_t
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, c10::optional<int64_t>, c10::optional<int64_t>, int64_t, at::Tensor &)
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, ::std::optional<int64_t>, ::std::optional<int64_t>, int64_t, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -195188,17 +206223,17 @@
     name: dim
     type: int64_t
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: start
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: end
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - annotation: null
     default: 1
     dynamic_type: int64_t
@@ -196235,7 +207270,7 @@
     name: padding
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: output_size
@@ -196253,7 +207288,7 @@
     name: padding
     type: double
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: at::IntArrayRef
     is_nullable: true
     name: output_size
@@ -196390,14 +207425,14 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: mask
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: mask_type
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, int64_t, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, bool, bool, double, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, c10::optional<int64_t>, at::Tensor &)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, int64_t, int64_t, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, bool, bool, double, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, ::std::optional<int64_t>, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -196494,13 +207529,13 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: mask
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: mask_type
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -196595,7 +207630,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: mask
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: true
     dynamic_type: bool
@@ -196609,12 +207644,12 @@
     name: average_attn_weights
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: mask_type
-    type: c10::optional<int64_t>
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, int64_t, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, bool, bool, c10::optional<int64_t>, at::Tensor &, at::Tensor &)
+    type: ::std::optional<int64_t>
+  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, int64_t, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, bool, bool, ::std::optional<int64_t>, at::Tensor &, at::Tensor &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::Tensor
@@ -196666,7 +207701,7 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: mask
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: true
     dynamic_type: bool
@@ -196680,11 +207715,11 @@
     name: average_attn_weights
     type: bool
   - annotation: null
-    default: c10::nullopt
+    default: ::std::nullopt
     dynamic_type: int64_t
     is_nullable: true
     name: mask_type
-    type: c10::optional<int64_t>
+    type: ::std::optional<int64_t>
   - allocate: true
     annotation: a!
     dynamic_type: at::Tensor
@@ -196863,76 +207898,1637 @@
     dynamic_type: at::Tensor
     is_nullable: true
     name: mask
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, int64_t, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, at::Tensor &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, int64_t, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: query
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: key
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: value
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: embed_dim
+    type: int64_t
+  - annotation: null
+    dynamic_type: int64_t
+    is_nullable: false
+    name: num_head
+    type: int64_t
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: qkv_weight
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: qkv_bias
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: proj_weight
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: proj_bias
+    type: const at::Tensor &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    name: mask
+    type: const ::std::optional<at::Tensor> &
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _foobar_out
+  operator_name: _foobar
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_foobar.out(Tensor self, bool arg1=True, bool arg2=True, *, bool arg3=True, Tensor(a!) out) -> Tensor(a!)
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    default: true
+    dynamic_type: bool
+    is_nullable: false
+    name: arg1
+    type: bool
+  - annotation: null
+    default: true
+    dynamic_type: bool
+    is_nullable: false
+    name: arg2
+    type: bool
+  - annotation: null
+    default: true
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: arg3
+    type: bool
+  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, bool, bool, bool, at::Tensor &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: self
+    type: const at::Tensor &
+  - annotation: null
+    default: true
+    dynamic_type: bool
+    is_nullable: false
+    name: arg1
+    type: bool
+  - annotation: null
+    default: true
+    dynamic_type: bool
+    is_nullable: false
+    name: arg2
+    type: bool
+  - annotation: null
+    default: true
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: arg3
+    type: bool
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::Tensor
+    is_nullable: false
+    name: out
+    output: true
+    type: at::Tensor &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::Tensor
+    name: out
+    type: at::Tensor &
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _fused_adam_out
+  operator_name: _fused_adam
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_fused_adam.out(Tensor[] self, Tensor(b!)[] grads, Tensor(c!)[] exp_avgs, Tensor(d!)[] exp_avg_sqs, Tensor(e!)[] max_exp_avg_sqs, Tensor[] state_steps, *, float lr, float beta1, float beta2, float weight_decay, float eps, bool amsgrad, bool maximize, Tensor? grad_scale=None, Tensor? found_inf=None, Tensor(a!)[] out) -> ()
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: out
+    output: true
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: b!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: c!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avgs
+    type: at::TensorList
+  - annotation: d!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avg_sqs
+    type: at::TensorList
+  - annotation: e!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: max_exp_avg_sqs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: state_steps
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta1
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta2
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: eps
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: amsgrad
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: maximize
+    type: bool
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, double, double, double, double, double, bool, bool, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, at::TensorList)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: b!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: c!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avgs
+    type: at::TensorList
+  - annotation: d!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avg_sqs
+    type: at::TensorList
+  - annotation: e!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: max_exp_avg_sqs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: state_steps
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta1
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta2
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: eps
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: amsgrad
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: maximize
+    type: bool
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: out
+    output: true
+    type: at::TensorList
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _fused_adam
+  operator_name: _fused_adam
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_fused_adam(Tensor[] self, Tensor[] grads, Tensor[] exp_avgs, Tensor[] exp_avg_sqs, Tensor[] max_exp_avg_sqs, Tensor[] state_steps, *, float lr, float beta1, float beta2, float weight_decay, float eps, bool amsgrad, bool maximize, Tensor? grad_scale=None, Tensor? found_inf=None) -> (Tensor[] self_out, Tensor[] grads_out, Tensor[] exp_avgs_out, Tensor[] exp_avg_sqs_out, Tensor[] max_exp_avg_sqs_out)
+  arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avgs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avg_sqs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: max_exp_avg_sqs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: state_steps
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta1
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta2
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: eps
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: amsgrad
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: maximize
+    type: bool
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: ::std::tuple<::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>> (at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, double, double, double, double, double, bool, bool, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avgs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avg_sqs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: max_exp_avg_sqs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: state_steps
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta1
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta2
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: eps
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: amsgrad
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: maximize
+    type: bool
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::TensorList
+    field_name: self_out
+    name: self_out
+    type: ::std::vector<at::Tensor>
+  - dynamic_type: at::TensorList
+    field_name: grads_out
+    name: grads_out
+    type: ::std::vector<at::Tensor>
+  - dynamic_type: at::TensorList
+    field_name: exp_avgs_out
+    name: exp_avgs_out
+    type: ::std::vector<at::Tensor>
+  - dynamic_type: at::TensorList
+    field_name: exp_avg_sqs_out
+    name: exp_avg_sqs_out
+    type: ::std::vector<at::Tensor>
+  - dynamic_type: at::TensorList
+    field_name: max_exp_avg_sqs_out
+    name: max_exp_avg_sqs_out
+    type: ::std::vector<at::Tensor>
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _fused_adam_out
+  operator_name: _fused_adam
+  overload_name: tensor_lr_out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_fused_adam.tensor_lr_out(Tensor[] self, Tensor(b!)[] grads, Tensor(c!)[] exp_avgs, Tensor(d!)[] exp_avg_sqs, Tensor(e!)[] max_exp_avg_sqs, Tensor[] state_steps, *, Tensor lr, float beta1, float beta2, float weight_decay, float eps, bool amsgrad, bool maximize, Tensor? grad_scale=None, Tensor? found_inf=None, Tensor(a!)[] out) -> ()
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: out
+    output: true
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: b!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: c!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avgs
+    type: at::TensorList
+  - annotation: d!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avg_sqs
+    type: at::TensorList
+  - annotation: e!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: max_exp_avg_sqs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: state_steps
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta1
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta2
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: eps
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: amsgrad
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: maximize
+    type: bool
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, const at::Tensor &, double, double, double, double, bool, bool, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, at::TensorList)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: b!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: c!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avgs
+    type: at::TensorList
+  - annotation: d!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avg_sqs
+    type: at::TensorList
+  - annotation: e!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: max_exp_avg_sqs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: state_steps
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta1
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta2
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: eps
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: amsgrad
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: maximize
+    type: bool
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: out
+    output: true
+    type: at::TensorList
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _fused_adam
+  operator_name: _fused_adam
+  overload_name: tensor_lr
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_fused_adam.tensor_lr(Tensor[] self, Tensor[] grads, Tensor[] exp_avgs, Tensor[] exp_avg_sqs, Tensor[] max_exp_avg_sqs, Tensor[] state_steps, *, Tensor lr, float beta1, float beta2, float weight_decay, float eps, bool amsgrad, bool maximize, Tensor? grad_scale=None, Tensor? found_inf=None) -> (Tensor[] self_out, Tensor[] grads_out, Tensor[] exp_avgs_out, Tensor[] exp_avg_sqs_out, Tensor[] max_exp_avg_sqs_out)
+  arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avgs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avg_sqs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: max_exp_avg_sqs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: state_steps
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta1
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta2
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: eps
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: amsgrad
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: maximize
+    type: bool
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: ::std::tuple<::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>> (at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, const at::Tensor &, double, double, double, double, bool, bool, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avgs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avg_sqs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: max_exp_avg_sqs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: state_steps
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta1
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta2
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: eps
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: amsgrad
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: maximize
+    type: bool
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::TensorList
+    field_name: self_out
+    name: self_out
+    type: ::std::vector<at::Tensor>
+  - dynamic_type: at::TensorList
+    field_name: grads_out
+    name: grads_out
+    type: ::std::vector<at::Tensor>
+  - dynamic_type: at::TensorList
+    field_name: exp_avgs_out
+    name: exp_avgs_out
+    type: ::std::vector<at::Tensor>
+  - dynamic_type: at::TensorList
+    field_name: exp_avg_sqs_out
+    name: exp_avg_sqs_out
+    type: ::std::vector<at::Tensor>
+  - dynamic_type: at::TensorList
+    field_name: max_exp_avg_sqs_out
+    name: max_exp_avg_sqs_out
+    type: ::std::vector<at::Tensor>
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _fused_adamw_out
+  operator_name: _fused_adamw
+  overload_name: out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_fused_adamw.out(Tensor[] self, Tensor(b!)[] grads, Tensor(c!)[] exp_avgs, Tensor(d!)[] exp_avg_sqs, Tensor(e!)[] max_exp_avg_sqs, Tensor[] state_steps, *, float lr, float beta1, float beta2, float weight_decay, float eps, bool amsgrad, bool maximize, Tensor? grad_scale=None, Tensor? found_inf=None, Tensor(a!)[] out) -> ()
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: out
+    output: true
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: b!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: c!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avgs
+    type: at::TensorList
+  - annotation: d!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avg_sqs
+    type: at::TensorList
+  - annotation: e!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: max_exp_avg_sqs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: state_steps
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta1
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta2
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: eps
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: amsgrad
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: maximize
+    type: bool
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, double, double, double, double, double, bool, bool, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, at::TensorList)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: b!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: c!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avgs
+    type: at::TensorList
+  - annotation: d!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avg_sqs
+    type: at::TensorList
+  - annotation: e!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: max_exp_avg_sqs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: state_steps
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta1
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta2
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: eps
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: amsgrad
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: maximize
+    type: bool
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: out
+    output: true
+    type: at::TensorList
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns: []
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _fused_adamw
+  operator_name: _fused_adamw
+  overload_name: ''
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_fused_adamw(Tensor[] self, Tensor[] grads, Tensor[] exp_avgs, Tensor[] exp_avg_sqs, Tensor[] max_exp_avg_sqs, Tensor[] state_steps, *, float lr, float beta1, float beta2, float weight_decay, float eps, bool amsgrad, bool maximize, Tensor? grad_scale=None, Tensor? found_inf=None) -> (Tensor[] self_out, Tensor[] grads_out, Tensor[] exp_avgs_out, Tensor[] exp_avg_sqs_out, Tensor[] max_exp_avg_sqs_out)
+  arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avgs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avg_sqs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: max_exp_avg_sqs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: state_steps
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta1
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta2
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: eps
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: amsgrad
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: maximize
+    type: bool
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: ::std::tuple<::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>> (at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, double, double, double, double, double, bool, bool, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avgs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avg_sqs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: max_exp_avg_sqs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: state_steps
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta1
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta2
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: eps
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: amsgrad
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: maximize
+    type: bool
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  method_of:
+  - Type
+  - namespace
+  mode: native
+  python_module: ''
+  returns:
+  - dynamic_type: at::TensorList
+    field_name: self_out
+    name: self_out
+    type: ::std::vector<at::Tensor>
+  - dynamic_type: at::TensorList
+    field_name: grads_out
+    name: grads_out
+    type: ::std::vector<at::Tensor>
+  - dynamic_type: at::TensorList
+    field_name: exp_avgs_out
+    name: exp_avgs_out
+    type: ::std::vector<at::Tensor>
+  - dynamic_type: at::TensorList
+    field_name: exp_avg_sqs_out
+    name: exp_avg_sqs_out
+    type: ::std::vector<at::Tensor>
+  - dynamic_type: at::TensorList
+    field_name: max_exp_avg_sqs_out
+    name: max_exp_avg_sqs_out
+    type: ::std::vector<at::Tensor>
+  inplace: false
+  is_factory_method: false
+  abstract: true
+  device_guard: false
+  with_gil: false
+  deprecated: false
+  has_math_kernel: false
+- name: _fused_adamw_out
+  operator_name: _fused_adamw
+  overload_name: tensor_lr_out
+  manual_kernel_registration: false
+  category_override: ''
+  schema_string: aten::_fused_adamw.tensor_lr_out(Tensor[] self, Tensor(b!)[] grads, Tensor(c!)[] exp_avgs, Tensor(d!)[] exp_avg_sqs, Tensor(e!)[] max_exp_avg_sqs, Tensor[] state_steps, *, Tensor lr, float beta1, float beta2, float weight_decay, float eps, bool amsgrad, bool maximize, Tensor? grad_scale=None, Tensor? found_inf=None, Tensor(a!)[] out) -> ()
+  arguments:
+  - allocate: true
+    annotation: a!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: out
+    output: true
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: b!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: c!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avgs
+    type: at::TensorList
+  - annotation: d!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avg_sqs
+    type: at::TensorList
+  - annotation: e!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: max_exp_avg_sqs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: state_steps
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::Tensor
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: const at::Tensor &
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta1
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: beta2
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: eps
+    type: double
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: amsgrad
+    type: bool
+  - annotation: null
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: maximize
+    type: bool
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, const at::Tensor &, double, double, double, double, bool, bool, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, at::TensorList)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: self
+    type: at::TensorList
+  - annotation: b!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: c!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avgs
+    type: at::TensorList
+  - annotation: d!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: exp_avg_sqs
+    type: at::TensorList
+  - annotation: e!
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: max_exp_avg_sqs
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: query
-    type: const at::Tensor &
+    name: state_steps
+    type: at::TensorList
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: key
+    kwarg_only: true
+    name: lr
     type: const at::Tensor &
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: double
     is_nullable: false
-    name: value
-    type: const at::Tensor &
+    kwarg_only: true
+    name: beta1
+    type: double
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: double
     is_nullable: false
-    name: embed_dim
-    type: int64_t
+    kwarg_only: true
+    name: beta2
+    type: double
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: double
     is_nullable: false
-    name: num_head
-    type: int64_t
+    kwarg_only: true
+    name: weight_decay
+    type: double
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: double
     is_nullable: false
-    name: qkv_weight
-    type: const at::Tensor &
+    kwarg_only: true
+    name: eps
+    type: double
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: bool
     is_nullable: false
-    name: qkv_bias
-    type: const at::Tensor &
+    kwarg_only: true
+    name: amsgrad
+    type: bool
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: bool
     is_nullable: false
-    name: proj_weight
-    type: const at::Tensor &
+    kwarg_only: true
+    name: maximize
+    type: bool
   - annotation: null
+    default: '{}'
     dynamic_type: at::Tensor
-    is_nullable: false
-    name: proj_bias
-    type: const at::Tensor &
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
-    name: mask
-    type: const c10::optional<at::Tensor> &
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
   - allocate: true
     annotation: a!
-    dynamic_type: at::Tensor
+    dynamic_type: at::TensorList
     is_nullable: false
     name: out
     output: true
-    type: at::Tensor &
+    type: at::TensorList
   method_of:
   - Type
   - namespace
   mode: native
   python_module: ''
-  returns:
-  - dynamic_type: at::Tensor
-    name: out
-    type: at::Tensor &
+  returns: []
   inplace: false
   is_factory_method: false
   abstract: true
@@ -196940,288 +209536,213 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _transformer_decoder_only_layer_fwd_out
-  operator_name: _transformer_decoder_only_layer_fwd
-  overload_name: out
+- name: _fused_adamw
+  operator_name: _fused_adamw
+  overload_name: tensor_lr
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_transformer_decoder_only_layer_fwd.out(Tensor src, int embed_dim, int num_heads, Tensor qkv_weight, Tensor qkv_bias, Tensor proj_weight, Tensor proj_bias, bool use_gelu, bool norm_first, float eps, Tensor norm_weight_1, Tensor norm_bias_1, Tensor norm_weight_2, Tensor norm_bias_2, Tensor ffn_weight_1, Tensor ffn_bias_1, Tensor ffn_weight_2, Tensor ffn_bias_2, Tensor? mask=None, Tensor? incr_key=None, Tensor? incr_value=None, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!))
+  schema_string: aten::_fused_adamw.tensor_lr(Tensor[] self, Tensor[] grads, Tensor[] exp_avgs, Tensor[] exp_avg_sqs, Tensor[] max_exp_avg_sqs, Tensor[] state_steps, *, Tensor lr, float beta1, float beta2, float weight_decay, float eps, bool amsgrad, bool maximize, Tensor? grad_scale=None, Tensor? found_inf=None) -> (Tensor[] self_out, Tensor[] grads_out, Tensor[] exp_avgs_out, Tensor[] exp_avg_sqs_out, Tensor[] max_exp_avg_sqs_out)
   arguments:
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out0
-    output: true
-    type: at::Tensor &
-  - allocate: true
-    annotation: b!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out1
-    output: true
-    type: at::Tensor &
-  - allocate: true
-    annotation: c!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out2
-    output: true
-    type: at::Tensor &
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: src
-    type: const at::Tensor &
+    name: self
+    type: at::TensorList
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: embed_dim
-    type: int64_t
+    name: grads
+    type: at::TensorList
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: num_heads
-    type: int64_t
+    name: exp_avgs
+    type: at::TensorList
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: qkv_weight
-    type: const at::Tensor &
+    name: exp_avg_sqs
+    type: at::TensorList
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: qkv_bias
-    type: const at::Tensor &
+    name: max_exp_avg_sqs
+    type: at::TensorList
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: proj_weight
-    type: const at::Tensor &
+    name: state_steps
+    type: at::TensorList
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: proj_bias
+    kwarg_only: true
+    name: lr
     type: const at::Tensor &
-  - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    name: use_gelu
-    type: bool
-  - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    name: norm_first
-    type: bool
   - annotation: null
     dynamic_type: double
     is_nullable: false
-    name: eps
+    kwarg_only: true
+    name: beta1
     type: double
   - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: norm_weight_1
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: norm_bias_1
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: norm_weight_2
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: double
     is_nullable: false
-    name: norm_bias_2
-    type: const at::Tensor &
+    kwarg_only: true
+    name: beta2
+    type: double
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: double
     is_nullable: false
-    name: ffn_weight_1
-    type: const at::Tensor &
+    kwarg_only: true
+    name: weight_decay
+    type: double
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: double
     is_nullable: false
-    name: ffn_bias_1
-    type: const at::Tensor &
+    kwarg_only: true
+    name: eps
+    type: double
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: bool
     is_nullable: false
-    name: ffn_weight_2
-    type: const at::Tensor &
+    kwarg_only: true
+    name: amsgrad
+    type: bool
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: bool
     is_nullable: false
-    name: ffn_bias_2
-    type: const at::Tensor &
-  - annotation: null
-    default: '{}'
-    dynamic_type: at::Tensor
-    is_nullable: true
-    name: mask
-    type: const c10::optional<at::Tensor> &
+    kwarg_only: true
+    name: maximize
+    type: bool
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
-    name: incr_key
-    type: const c10::optional<at::Tensor> &
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
-    name: incr_value
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, int64_t, int64_t, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, bool, bool, double, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, at::Tensor &, at::Tensor &, at::Tensor &)
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: ::std::tuple<::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>> (at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, const at::Tensor &, double, double, double, double, bool, bool, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: src
-    type: const at::Tensor &
+    name: self
+    type: at::TensorList
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: embed_dim
-    type: int64_t
+    name: grads
+    type: at::TensorList
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: num_heads
-    type: int64_t
+    name: exp_avgs
+    type: at::TensorList
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: qkv_weight
-    type: const at::Tensor &
+    name: exp_avg_sqs
+    type: at::TensorList
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: qkv_bias
-    type: const at::Tensor &
+    name: max_exp_avg_sqs
+    type: at::TensorList
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: proj_weight
-    type: const at::Tensor &
+    name: state_steps
+    type: at::TensorList
   - annotation: null
     dynamic_type: at::Tensor
     is_nullable: false
-    name: proj_bias
+    kwarg_only: true
+    name: lr
     type: const at::Tensor &
-  - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    name: use_gelu
-    type: bool
-  - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    name: norm_first
-    type: bool
   - annotation: null
     dynamic_type: double
     is_nullable: false
-    name: eps
+    kwarg_only: true
+    name: beta1
     type: double
   - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: norm_weight_1
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: norm_bias_1
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: norm_weight_2
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: double
     is_nullable: false
-    name: norm_bias_2
-    type: const at::Tensor &
+    kwarg_only: true
+    name: beta2
+    type: double
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: double
     is_nullable: false
-    name: ffn_weight_1
-    type: const at::Tensor &
+    kwarg_only: true
+    name: weight_decay
+    type: double
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: double
     is_nullable: false
-    name: ffn_bias_1
-    type: const at::Tensor &
+    kwarg_only: true
+    name: eps
+    type: double
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: bool
     is_nullable: false
-    name: ffn_weight_2
-    type: const at::Tensor &
+    kwarg_only: true
+    name: amsgrad
+    type: bool
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: bool
     is_nullable: false
-    name: ffn_bias_2
-    type: const at::Tensor &
-  - annotation: null
-    default: '{}'
-    dynamic_type: at::Tensor
-    is_nullable: true
-    name: mask
-    type: const c10::optional<at::Tensor> &
+    kwarg_only: true
+    name: maximize
+    type: bool
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
-    name: incr_key
-    type: const c10::optional<at::Tensor> &
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
-    name: incr_value
-    type: const c10::optional<at::Tensor> &
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out0
-    output: true
-    type: at::Tensor &
-  - allocate: true
-    annotation: b!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out1
-    output: true
-    type: at::Tensor &
-  - allocate: true
-    annotation: c!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out2
-    output: true
-    type: at::Tensor &
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - namespace
   mode: native
   python_module: ''
   returns:
-  - dynamic_type: at::Tensor
-    name: out0
-    type: at::Tensor &
-  - dynamic_type: at::Tensor
-    name: out1
-    type: at::Tensor &
-  - dynamic_type: at::Tensor
-    name: out2
-    type: at::Tensor &
+  - dynamic_type: at::TensorList
+    field_name: self_out
+    name: self_out
+    type: ::std::vector<at::Tensor>
+  - dynamic_type: at::TensorList
+    field_name: grads_out
+    name: grads_out
+    type: ::std::vector<at::Tensor>
+  - dynamic_type: at::TensorList
+    field_name: exp_avgs_out
+    name: exp_avgs_out
+    type: ::std::vector<at::Tensor>
+  - dynamic_type: at::TensorList
+    field_name: exp_avg_sqs_out
+    name: exp_avg_sqs_out
+    type: ::std::vector<at::Tensor>
+  - dynamic_type: at::TensorList
+    field_name: max_exp_avg_sqs_out
+    name: max_exp_avg_sqs_out
+    type: ::std::vector<at::Tensor>
   inplace: false
   is_factory_method: false
   abstract: true
@@ -197229,239 +209750,177 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _native_decoder_only_multi_head_attention_out
-  operator_name: _native_decoder_only_multi_head_attention
+- name: _fused_sgd_out
+  operator_name: _fused_sgd
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_native_decoder_only_multi_head_attention.out(Tensor query, Tensor key, Tensor value, int embed_dim, int num_head, Tensor qkv_weight, Tensor qkv_bias, Tensor proj_weight, Tensor proj_bias, Tensor? mask=None, Tensor? incr_key=None, Tensor? incr_value=None, bool need_weights=True, bool average_attn_weights=True, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2, Tensor(d!) out3) -> (Tensor(a!), Tensor(b!), Tensor(c!), Tensor(d!))
+  schema_string: aten::_fused_sgd.out(Tensor[] self, Tensor(b!)[] grads, Tensor(c!)[] momentum_buffer_list, *, float weight_decay, float momentum, float lr, float dampening, bool nesterov, bool maximize, bool is_first_step, Tensor? grad_scale=None, Tensor? found_inf=None, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out0
-    output: true
-    type: at::Tensor &
-  - allocate: true
-    annotation: b!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out1
-    output: true
-    type: at::Tensor &
-  - allocate: true
-    annotation: c!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out2
-    output: true
-    type: at::Tensor &
-  - allocate: true
-    annotation: d!
-    dynamic_type: at::Tensor
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: out3
+    name: out
     output: true
-    type: at::Tensor &
+    type: at::TensorList
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: query
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
+    name: self
+    type: at::TensorList
+  - annotation: b!
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: key
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
+    name: grads
+    type: at::TensorList
+  - annotation: c!
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: value
-    type: const at::Tensor &
+    name: momentum_buffer_list
+    type: at::TensorList
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: double
     is_nullable: false
-    name: embed_dim
-    type: int64_t
+    kwarg_only: true
+    name: weight_decay
+    type: double
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: double
     is_nullable: false
-    name: num_head
-    type: int64_t
+    kwarg_only: true
+    name: momentum
+    type: double
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: double
     is_nullable: false
-    name: qkv_weight
-    type: const at::Tensor &
+    kwarg_only: true
+    name: lr
+    type: double
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: double
     is_nullable: false
-    name: qkv_bias
-    type: const at::Tensor &
+    kwarg_only: true
+    name: dampening
+    type: double
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: bool
     is_nullable: false
-    name: proj_weight
-    type: const at::Tensor &
+    kwarg_only: true
+    name: nesterov
+    type: bool
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: bool
     is_nullable: false
-    name: proj_bias
-    type: const at::Tensor &
+    kwarg_only: true
+    name: maximize
+    type: bool
   - annotation: null
-    default: '{}'
-    dynamic_type: at::Tensor
-    is_nullable: true
-    name: mask
-    type: const c10::optional<at::Tensor> &
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: is_first_step
+    type: bool
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
-    name: incr_key
-    type: const c10::optional<at::Tensor> &
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
-    name: incr_value
-    type: const c10::optional<at::Tensor> &
-  - annotation: null
-    default: true
-    dynamic_type: bool
-    is_nullable: false
-    name: need_weights
-    type: bool
-  - annotation: null
-    default: true
-    dynamic_type: bool
-    is_nullable: false
-    name: average_attn_weights
-    type: bool
-  schema_order_cpp_signature: ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, int64_t, int64_t, const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Tensor &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, bool, bool, at::Tensor &, at::Tensor &, at::Tensor &, at::Tensor &)
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, double, double, double, double, bool, bool, bool, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, at::TensorList)
   schema_order_arguments:
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: query
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
+    name: self
+    type: at::TensorList
+  - annotation: b!
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: key
-    type: const at::Tensor &
-  - annotation: null
-    dynamic_type: at::Tensor
+    name: grads
+    type: at::TensorList
+  - annotation: c!
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: value
-    type: const at::Tensor &
+    name: momentum_buffer_list
+    type: at::TensorList
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: double
     is_nullable: false
-    name: embed_dim
-    type: int64_t
+    kwarg_only: true
+    name: weight_decay
+    type: double
   - annotation: null
-    dynamic_type: int64_t
+    dynamic_type: double
     is_nullable: false
-    name: num_head
-    type: int64_t
+    kwarg_only: true
+    name: momentum
+    type: double
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: double
     is_nullable: false
-    name: qkv_weight
-    type: const at::Tensor &
+    kwarg_only: true
+    name: lr
+    type: double
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: double
     is_nullable: false
-    name: qkv_bias
-    type: const at::Tensor &
+    kwarg_only: true
+    name: dampening
+    type: double
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: bool
     is_nullable: false
-    name: proj_weight
-    type: const at::Tensor &
+    kwarg_only: true
+    name: nesterov
+    type: bool
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: bool
     is_nullable: false
-    name: proj_bias
-    type: const at::Tensor &
+    kwarg_only: true
+    name: maximize
+    type: bool
   - annotation: null
-    default: '{}'
-    dynamic_type: at::Tensor
-    is_nullable: true
-    name: mask
-    type: const c10::optional<at::Tensor> &
+    dynamic_type: bool
+    is_nullable: false
+    kwarg_only: true
+    name: is_first_step
+    type: bool
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
-    name: incr_key
-    type: const c10::optional<at::Tensor> &
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
-    name: incr_value
-    type: const c10::optional<at::Tensor> &
-  - annotation: null
-    default: true
-    dynamic_type: bool
-    is_nullable: false
-    name: need_weights
-    type: bool
-  - annotation: null
-    default: true
-    dynamic_type: bool
-    is_nullable: false
-    name: average_attn_weights
-    type: bool
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
   - allocate: true
     annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out0
-    output: true
-    type: at::Tensor &
-  - allocate: true
-    annotation: b!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out1
-    output: true
-    type: at::Tensor &
-  - allocate: true
-    annotation: c!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out2
-    output: true
-    type: at::Tensor &
-  - allocate: true
-    annotation: d!
-    dynamic_type: at::Tensor
+    dynamic_type: at::TensorList
     is_nullable: false
-    name: out3
+    name: out
     output: true
-    type: at::Tensor &
+    type: at::TensorList
   method_of:
   - Type
   - namespace
   mode: native
   python_module: ''
-  returns:
-  - dynamic_type: at::Tensor
-    name: out0
-    type: at::Tensor &
-  - dynamic_type: at::Tensor
-    name: out1
-    type: at::Tensor &
-  - dynamic_type: at::Tensor
-    name: out2
-    type: at::Tensor &
-  - dynamic_type: at::Tensor
-    name: out3
-    type: at::Tensor &
+  returns: []
   inplace: false
   is_factory_method: false
   abstract: true
@@ -197469,86 +209928,175 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _foobar_out
-  operator_name: _foobar
-  overload_name: out
+- name: _fused_sgd
+  operator_name: _fused_sgd
+  overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_foobar.out(Tensor self, bool arg1=True, bool arg2=True, *, bool arg3=True, Tensor(a!) out) -> Tensor(a!)
+  schema_string: aten::_fused_sgd(Tensor[] self, Tensor[] grads, Tensor[] momentum_buffer_list, *, float weight_decay, float momentum, float lr, float dampening, bool nesterov, bool maximize, bool is_first_step, Tensor? grad_scale=None, Tensor? found_inf=None) -> (Tensor[] self_out, Tensor[] grads_out, Tensor[] momentum_buffer_list_out)
   arguments:
-  - allocate: true
-    annotation: a!
-    dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
   - annotation: null
-    dynamic_type: at::Tensor
+    dynamic_type: at::TensorList
     is_nullable: false
     name: self
-    type: const at::Tensor &
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: momentum_buffer_list
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: momentum
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: dampening
+    type: double
   - annotation: null
-    default: true
     dynamic_type: bool
     is_nullable: false
-    name: arg1
+    kwarg_only: true
+    name: nesterov
     type: bool
   - annotation: null
-    default: true
     dynamic_type: bool
     is_nullable: false
-    name: arg2
+    kwarg_only: true
+    name: maximize
     type: bool
   - annotation: null
-    default: true
     dynamic_type: bool
     is_nullable: false
     kwarg_only: true
-    name: arg3
+    name: is_first_step
     type: bool
-  schema_order_cpp_signature: at::Tensor & (const at::Tensor &, bool, bool, bool, at::Tensor &)
-  schema_order_arguments:
   - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
     dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: ::std::tuple<::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>> (at::TensorList, at::TensorList, at::TensorList, double, double, double, double, bool, bool, bool, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
+  schema_order_arguments:
+  - annotation: null
+    dynamic_type: at::TensorList
     is_nullable: false
     name: self
-    type: const at::Tensor &
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: grads
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: at::TensorList
+    is_nullable: false
+    name: momentum_buffer_list
+    type: at::TensorList
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: weight_decay
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: momentum
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: lr
+    type: double
+  - annotation: null
+    dynamic_type: double
+    is_nullable: false
+    kwarg_only: true
+    name: dampening
+    type: double
   - annotation: null
-    default: true
     dynamic_type: bool
     is_nullable: false
-    name: arg1
+    kwarg_only: true
+    name: nesterov
     type: bool
   - annotation: null
-    default: true
     dynamic_type: bool
     is_nullable: false
-    name: arg2
+    kwarg_only: true
+    name: maximize
     type: bool
   - annotation: null
-    default: true
     dynamic_type: bool
     is_nullable: false
     kwarg_only: true
-    name: arg3
+    name: is_first_step
     type: bool
-  - allocate: true
-    annotation: a!
+  - annotation: null
+    default: '{}'
     dynamic_type: at::Tensor
-    is_nullable: false
-    name: out
-    output: true
-    type: at::Tensor &
+    is_nullable: true
+    kwarg_only: true
+    name: grad_scale
+    type: const ::std::optional<at::Tensor> &
+  - annotation: null
+    default: '{}'
+    dynamic_type: at::Tensor
+    is_nullable: true
+    kwarg_only: true
+    name: found_inf
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - namespace
   mode: native
   python_module: ''
   returns:
-  - dynamic_type: at::Tensor
-    name: out
-    type: at::Tensor &
+  - dynamic_type: at::TensorList
+    field_name: self_out
+    name: self_out
+    type: ::std::vector<at::Tensor>
+  - dynamic_type: at::TensorList
+    field_name: grads_out
+    name: grads_out
+    type: ::std::vector<at::Tensor>
+  - dynamic_type: at::TensorList
+    field_name: momentum_buffer_list_out
+    name: momentum_buffer_list_out
+    type: ::std::vector<at::Tensor>
   inplace: false
   is_factory_method: false
   abstract: true
@@ -197556,12 +210104,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _fused_adam_out
-  operator_name: _fused_adam
-  overload_name: out
+- name: _fused_sgd_out
+  operator_name: _fused_sgd
+  overload_name: tensor_lr_out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_fused_adam.out(Tensor[] self, Tensor(b!)[] grads, Tensor(c!)[] exp_avgs, Tensor(d!)[] exp_avg_sqs, Tensor(e!)[] max_exp_avg_sqs, Tensor[] state_steps, *, float lr, float beta1, float beta2, float weight_decay, float eps, bool amsgrad, bool maximize, Tensor? grad_scale=None, Tensor? found_inf=None, Tensor(a!)[] out) -> ()
+  schema_string: aten::_fused_sgd.tensor_lr_out(Tensor[] self, Tensor(b!)[] grads, Tensor(c!)[] momentum_buffer_list, *, float weight_decay, float momentum, Tensor lr, float dampening, bool nesterov, bool maximize, bool is_first_step, Tensor? grad_scale=None, Tensor? found_inf=None, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -197583,64 +210131,49 @@
   - annotation: c!
     dynamic_type: at::TensorList
     is_nullable: false
-    name: exp_avgs
-    type: at::TensorList
-  - annotation: d!
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: exp_avg_sqs
-    type: at::TensorList
-  - annotation: e!
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: max_exp_avg_sqs
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: state_steps
+    name: momentum_buffer_list
     type: at::TensorList
   - annotation: null
     dynamic_type: double
     is_nullable: false
     kwarg_only: true
-    name: lr
+    name: weight_decay
     type: double
   - annotation: null
     dynamic_type: double
     is_nullable: false
     kwarg_only: true
-    name: beta1
+    name: momentum
     type: double
   - annotation: null
-    dynamic_type: double
+    dynamic_type: at::Tensor
     is_nullable: false
     kwarg_only: true
-    name: beta2
-    type: double
+    name: lr
+    type: const at::Tensor &
   - annotation: null
     dynamic_type: double
     is_nullable: false
     kwarg_only: true
-    name: weight_decay
+    name: dampening
     type: double
   - annotation: null
-    dynamic_type: double
+    dynamic_type: bool
     is_nullable: false
     kwarg_only: true
-    name: eps
-    type: double
+    name: nesterov
+    type: bool
   - annotation: null
     dynamic_type: bool
     is_nullable: false
     kwarg_only: true
-    name: amsgrad
+    name: maximize
     type: bool
   - annotation: null
     dynamic_type: bool
     is_nullable: false
     kwarg_only: true
-    name: maximize
+    name: is_first_step
     type: bool
   - annotation: null
     default: '{}'
@@ -197648,15 +210181,15 @@
     is_nullable: true
     kwarg_only: true
     name: grad_scale
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: found_inf
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, double, double, double, double, double, bool, bool, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, at::TensorList)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, double, double, const at::Tensor &, double, bool, bool, bool, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -197671,64 +210204,49 @@
   - annotation: c!
     dynamic_type: at::TensorList
     is_nullable: false
-    name: exp_avgs
-    type: at::TensorList
-  - annotation: d!
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: exp_avg_sqs
-    type: at::TensorList
-  - annotation: e!
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: max_exp_avg_sqs
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: state_steps
+    name: momentum_buffer_list
     type: at::TensorList
   - annotation: null
     dynamic_type: double
     is_nullable: false
     kwarg_only: true
-    name: lr
+    name: weight_decay
     type: double
   - annotation: null
     dynamic_type: double
     is_nullable: false
     kwarg_only: true
-    name: beta1
+    name: momentum
     type: double
   - annotation: null
-    dynamic_type: double
+    dynamic_type: at::Tensor
     is_nullable: false
     kwarg_only: true
-    name: beta2
-    type: double
+    name: lr
+    type: const at::Tensor &
   - annotation: null
     dynamic_type: double
     is_nullable: false
     kwarg_only: true
-    name: weight_decay
+    name: dampening
     type: double
   - annotation: null
-    dynamic_type: double
+    dynamic_type: bool
     is_nullable: false
     kwarg_only: true
-    name: eps
-    type: double
+    name: nesterov
+    type: bool
   - annotation: null
     dynamic_type: bool
     is_nullable: false
     kwarg_only: true
-    name: amsgrad
+    name: maximize
     type: bool
   - annotation: null
     dynamic_type: bool
     is_nullable: false
     kwarg_only: true
-    name: maximize
+    name: is_first_step
     type: bool
   - annotation: null
     default: '{}'
@@ -197736,14 +210254,14 @@
     is_nullable: true
     kwarg_only: true
     name: grad_scale
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: found_inf
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -197764,12 +210282,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _fused_adam
-  operator_name: _fused_adam
-  overload_name: ''
+- name: _fused_sgd
+  operator_name: _fused_sgd
+  overload_name: tensor_lr
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_fused_adam(Tensor[] self, Tensor[] grads, Tensor[] exp_avgs, Tensor[] exp_avg_sqs, Tensor[] max_exp_avg_sqs, Tensor[] state_steps, *, float lr, float beta1, float beta2, float weight_decay, float eps, bool amsgrad, bool maximize, Tensor? grad_scale=None, Tensor? found_inf=None) -> (Tensor[] self_out, Tensor[] grads_out, Tensor[] exp_avgs_out, Tensor[] exp_avg_sqs_out, Tensor[] max_exp_avg_sqs_out)
+  schema_string: aten::_fused_sgd.tensor_lr(Tensor[] self, Tensor[] grads, Tensor[] momentum_buffer_list, *, float weight_decay, float momentum, Tensor lr, float dampening, bool nesterov, bool maximize, bool is_first_step, Tensor? grad_scale=None, Tensor? found_inf=None) -> (Tensor[] self_out, Tensor[] grads_out, Tensor[] momentum_buffer_list_out)
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -197784,64 +210302,49 @@
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: exp_avgs
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: exp_avg_sqs
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: max_exp_avg_sqs
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: state_steps
+    name: momentum_buffer_list
     type: at::TensorList
   - annotation: null
     dynamic_type: double
     is_nullable: false
     kwarg_only: true
-    name: lr
+    name: weight_decay
     type: double
   - annotation: null
     dynamic_type: double
     is_nullable: false
     kwarg_only: true
-    name: beta1
+    name: momentum
     type: double
   - annotation: null
-    dynamic_type: double
+    dynamic_type: at::Tensor
     is_nullable: false
     kwarg_only: true
-    name: beta2
-    type: double
+    name: lr
+    type: const at::Tensor &
   - annotation: null
     dynamic_type: double
     is_nullable: false
     kwarg_only: true
-    name: weight_decay
+    name: dampening
     type: double
   - annotation: null
-    dynamic_type: double
+    dynamic_type: bool
     is_nullable: false
     kwarg_only: true
-    name: eps
-    type: double
+    name: nesterov
+    type: bool
   - annotation: null
     dynamic_type: bool
     is_nullable: false
     kwarg_only: true
-    name: amsgrad
+    name: maximize
     type: bool
   - annotation: null
     dynamic_type: bool
     is_nullable: false
     kwarg_only: true
-    name: maximize
+    name: is_first_step
     type: bool
   - annotation: null
     default: '{}'
@@ -197849,15 +210352,15 @@
     is_nullable: true
     kwarg_only: true
     name: grad_scale
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: found_inf
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: ::std::tuple<::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>> (at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, double, double, double, double, double, bool, bool, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: ::std::tuple<::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>> (at::TensorList, at::TensorList, at::TensorList, double, double, const at::Tensor &, double, bool, bool, bool, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -197872,64 +210375,49 @@
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: exp_avgs
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: exp_avg_sqs
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: max_exp_avg_sqs
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: state_steps
+    name: momentum_buffer_list
     type: at::TensorList
   - annotation: null
     dynamic_type: double
     is_nullable: false
     kwarg_only: true
-    name: lr
+    name: weight_decay
     type: double
   - annotation: null
     dynamic_type: double
     is_nullable: false
     kwarg_only: true
-    name: beta1
+    name: momentum
     type: double
   - annotation: null
-    dynamic_type: double
+    dynamic_type: at::Tensor
     is_nullable: false
     kwarg_only: true
-    name: beta2
-    type: double
+    name: lr
+    type: const at::Tensor &
   - annotation: null
     dynamic_type: double
     is_nullable: false
     kwarg_only: true
-    name: weight_decay
+    name: dampening
     type: double
   - annotation: null
-    dynamic_type: double
+    dynamic_type: bool
     is_nullable: false
     kwarg_only: true
-    name: eps
-    type: double
+    name: nesterov
+    type: bool
   - annotation: null
     dynamic_type: bool
     is_nullable: false
     kwarg_only: true
-    name: amsgrad
+    name: maximize
     type: bool
   - annotation: null
     dynamic_type: bool
     is_nullable: false
     kwarg_only: true
-    name: maximize
+    name: is_first_step
     type: bool
   - annotation: null
     default: '{}'
@@ -197937,14 +210425,14 @@
     is_nullable: true
     kwarg_only: true
     name: grad_scale
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: found_inf
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - namespace
@@ -197960,16 +210448,8 @@
     name: grads_out
     type: ::std::vector<at::Tensor>
   - dynamic_type: at::TensorList
-    field_name: exp_avgs_out
-    name: exp_avgs_out
-    type: ::std::vector<at::Tensor>
-  - dynamic_type: at::TensorList
-    field_name: exp_avg_sqs_out
-    name: exp_avg_sqs_out
-    type: ::std::vector<at::Tensor>
-  - dynamic_type: at::TensorList
-    field_name: max_exp_avg_sqs_out
-    name: max_exp_avg_sqs_out
+    field_name: momentum_buffer_list_out
+    name: momentum_buffer_list_out
     type: ::std::vector<at::Tensor>
   inplace: false
   is_factory_method: false
@@ -197978,12 +210458,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _fused_adamw_out
-  operator_name: _fused_adamw
+- name: _fused_adagrad_out
+  operator_name: _fused_adagrad
   overload_name: out
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_fused_adamw.out(Tensor[] self, Tensor(b!)[] grads, Tensor(c!)[] exp_avgs, Tensor(d!)[] exp_avg_sqs, Tensor(e!)[] max_exp_avg_sqs, Tensor[] state_steps, *, float lr, float beta1, float beta2, float weight_decay, float eps, bool amsgrad, bool maximize, Tensor? grad_scale=None, Tensor? found_inf=None, Tensor(a!)[] out) -> ()
+  schema_string: aten::_fused_adagrad.out(Tensor[] self, Tensor(b!)[] grads, Tensor(c!)[] state_sums, Tensor(d!)[] state_steps, *, float lr, float lr_decay, float weight_decay, float eps, bool maximize, Tensor? grad_scale=None, Tensor? found_inf=None, Tensor(a!)[] out) -> ()
   arguments:
   - allocate: true
     annotation: a!
@@ -198005,19 +210485,9 @@
   - annotation: c!
     dynamic_type: at::TensorList
     is_nullable: false
-    name: exp_avgs
+    name: state_sums
     type: at::TensorList
   - annotation: d!
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: exp_avg_sqs
-    type: at::TensorList
-  - annotation: e!
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: max_exp_avg_sqs
-    type: at::TensorList
-  - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: state_steps
@@ -198032,13 +210502,7 @@
     dynamic_type: double
     is_nullable: false
     kwarg_only: true
-    name: beta1
-    type: double
-  - annotation: null
-    dynamic_type: double
-    is_nullable: false
-    kwarg_only: true
-    name: beta2
+    name: lr_decay
     type: double
   - annotation: null
     dynamic_type: double
@@ -198052,12 +210516,6 @@
     kwarg_only: true
     name: eps
     type: double
-  - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    kwarg_only: true
-    name: amsgrad
-    type: bool
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -198070,15 +210528,15 @@
     is_nullable: true
     kwarg_only: true
     name: grad_scale
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: found_inf
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, double, double, double, double, double, bool, bool, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &, at::TensorList)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: void (at::TensorList, at::TensorList, at::TensorList, at::TensorList, double, double, double, double, bool, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &, at::TensorList)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -198093,19 +210551,9 @@
   - annotation: c!
     dynamic_type: at::TensorList
     is_nullable: false
-    name: exp_avgs
+    name: state_sums
     type: at::TensorList
   - annotation: d!
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: exp_avg_sqs
-    type: at::TensorList
-  - annotation: e!
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: max_exp_avg_sqs
-    type: at::TensorList
-  - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
     name: state_steps
@@ -198120,13 +210568,7 @@
     dynamic_type: double
     is_nullable: false
     kwarg_only: true
-    name: beta1
-    type: double
-  - annotation: null
-    dynamic_type: double
-    is_nullable: false
-    kwarg_only: true
-    name: beta2
+    name: lr_decay
     type: double
   - annotation: null
     dynamic_type: double
@@ -198140,12 +210582,6 @@
     kwarg_only: true
     name: eps
     type: double
-  - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    kwarg_only: true
-    name: amsgrad
-    type: bool
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -198158,14 +210594,14 @@
     is_nullable: true
     kwarg_only: true
     name: grad_scale
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: found_inf
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - allocate: true
     annotation: a!
     dynamic_type: at::TensorList
@@ -198186,12 +210622,12 @@
   with_gil: false
   deprecated: false
   has_math_kernel: false
-- name: _fused_adamw
-  operator_name: _fused_adamw
+- name: _fused_adagrad
+  operator_name: _fused_adagrad
   overload_name: ''
   manual_kernel_registration: false
   category_override: ''
-  schema_string: aten::_fused_adamw(Tensor[] self, Tensor[] grads, Tensor[] exp_avgs, Tensor[] exp_avg_sqs, Tensor[] max_exp_avg_sqs, Tensor[] state_steps, *, float lr, float beta1, float beta2, float weight_decay, float eps, bool amsgrad, bool maximize, Tensor? grad_scale=None, Tensor? found_inf=None) -> (Tensor[] self_out, Tensor[] grads_out, Tensor[] exp_avgs_out, Tensor[] exp_avg_sqs_out, Tensor[] max_exp_avg_sqs_out)
+  schema_string: aten::_fused_adagrad(Tensor[] self, Tensor[] grads, Tensor[] state_sums, Tensor[] state_steps, *, float lr, float lr_decay, float weight_decay, float eps, bool maximize, Tensor? grad_scale=None, Tensor? found_inf=None) -> (Tensor[] self_out, Tensor[] grads_out, Tensor[] state_sums_out, Tensor[] state_steps_out)
   arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -198206,17 +210642,7 @@
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: exp_avgs
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: exp_avg_sqs
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: max_exp_avg_sqs
+    name: state_sums
     type: at::TensorList
   - annotation: null
     dynamic_type: at::TensorList
@@ -198233,13 +210659,7 @@
     dynamic_type: double
     is_nullable: false
     kwarg_only: true
-    name: beta1
-    type: double
-  - annotation: null
-    dynamic_type: double
-    is_nullable: false
-    kwarg_only: true
-    name: beta2
+    name: lr_decay
     type: double
   - annotation: null
     dynamic_type: double
@@ -198253,12 +210673,6 @@
     kwarg_only: true
     name: eps
     type: double
-  - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    kwarg_only: true
-    name: amsgrad
-    type: bool
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -198271,15 +210685,15 @@
     is_nullable: true
     kwarg_only: true
     name: grad_scale
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: found_inf
-    type: const c10::optional<at::Tensor> &
-  schema_order_cpp_signature: ::std::tuple<::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>> (at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, at::TensorList, double, double, double, double, double, bool, bool, const c10::optional<at::Tensor> &, const c10::optional<at::Tensor> &)
+    type: const ::std::optional<at::Tensor> &
+  schema_order_cpp_signature: ::std::tuple<::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>> (at::TensorList, at::TensorList, at::TensorList, at::TensorList, double, double, double, double, bool, const ::std::optional<at::Tensor> &, const ::std::optional<at::Tensor> &)
   schema_order_arguments:
   - annotation: null
     dynamic_type: at::TensorList
@@ -198294,17 +210708,7 @@
   - annotation: null
     dynamic_type: at::TensorList
     is_nullable: false
-    name: exp_avgs
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: exp_avg_sqs
-    type: at::TensorList
-  - annotation: null
-    dynamic_type: at::TensorList
-    is_nullable: false
-    name: max_exp_avg_sqs
+    name: state_sums
     type: at::TensorList
   - annotation: null
     dynamic_type: at::TensorList
@@ -198321,13 +210725,7 @@
     dynamic_type: double
     is_nullable: false
     kwarg_only: true
-    name: beta1
-    type: double
-  - annotation: null
-    dynamic_type: double
-    is_nullable: false
-    kwarg_only: true
-    name: beta2
+    name: lr_decay
     type: double
   - annotation: null
     dynamic_type: double
@@ -198341,12 +210739,6 @@
     kwarg_only: true
     name: eps
     type: double
-  - annotation: null
-    dynamic_type: bool
-    is_nullable: false
-    kwarg_only: true
-    name: amsgrad
-    type: bool
   - annotation: null
     dynamic_type: bool
     is_nullable: false
@@ -198359,14 +210751,14 @@
     is_nullable: true
     kwarg_only: true
     name: grad_scale
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   - annotation: null
     default: '{}'
     dynamic_type: at::Tensor
     is_nullable: true
     kwarg_only: true
     name: found_inf
-    type: const c10::optional<at::Tensor> &
+    type: const ::std::optional<at::Tensor> &
   method_of:
   - Type
   - namespace
@@ -198382,16 +210774,12 @@
     name: grads_out
     type: ::std::vector<at::Tensor>
   - dynamic_type: at::TensorList
-    field_name: exp_avgs_out
-    name: exp_avgs_out
-    type: ::std::vector<at::Tensor>
-  - dynamic_type: at::TensorList
-    field_name: exp_avg_sqs_out
-    name: exp_avg_sqs_out
+    field_name: state_sums_out
+    name: state_sums_out
     type: ::std::vector<at::Tensor>
   - dynamic_type: at::TensorList
-    field_name: max_exp_avg_sqs_out
-    name: max_exp_avg_sqs_out
+    field_name: state_steps_out
+    name: state_steps_out
     type: ::std::vector<at::Tensor>
   inplace: false
   is_factory_method: false