Fix CI (OpenNMT#1747)

Fix CI + disable Flash Attention 2

.github/workflows/ci.yml

@@ -17,7 +17,7 @@ jobs:
       CT2_VERBOSE: 1
     strategy:
       matrix:
-        os: [ubuntu-20.04, macos-11]
+        os: [ubuntu-20.04]
         backend: [mkl, dnnl]
 
     steps:
@@ -33,17 +33,6 @@ jobs:
           sudo sh -c 'echo "deb https://apt.repos.intel.com/oneapi all main" > /etc/apt/sources.list.d/oneAPI.list'
           sudo apt-get update
 
-      - name: Store URL for downloading Intel oneAPI to environment variable
-        if: startsWith(matrix.os, 'macos')
-        run: |
-          echo 'ONEAPI_INSTALLER_URL=https://registrationcenter-download.intel.com/akdlm/irc_nas/19080/m_BaseKit_p_2023.0.0.25441_offline.dmg' >> $GITHUB_ENV
-
-      - name: Install Intel oneAPI
-        if: startsWith(matrix.os, 'macos')
-        run: |
-          wget -q $ONEAPI_INSTALLER_URL
-          hdiutil attach -noverify -noautofsck $(basename $ONEAPI_INSTALLER_URL)
-
       - name: Configure with MKL
         if: startsWith(matrix.os, 'ubuntu') && matrix.backend == 'mkl'
         env:
@@ -61,20 +50,6 @@ jobs:
           sudo apt-get install -y intel-oneapi-dnnl-devel=$DNNL_VERSION intel-oneapi-dnnl=$DNNL_VERSION
           cmake -DCMAKE_INSTALL_PREFIX=$PWD/install -DBUILD_TESTS=ON -DWITH_MKL=OFF -DOPENMP_RUNTIME=COMP -DWITH_DNNL=ON .
 
-      - name: Configure with MKL
-        if: startsWith(matrix.os, 'macos') && matrix.backend == 'mkl'
-        env:
-          CT2_USE_MKL: 1
-        run: |
-          sudo /Volumes/$(basename $ONEAPI_INSTALLER_URL .dmg)/bootstrapper.app/Contents/MacOS/bootstrapper --silent --eula accept --components intel.oneapi.mac.mkl.devel
-          cmake -DCMAKE_INSTALL_PREFIX=$PWD/install -DBUILD_TESTS=ON .
-
-      - name: Configure with DNNL
-        if: startsWith(matrix.os, 'macos') && matrix.backend == 'dnnl'
-        run: |
-          sudo /Volumes/$(basename $ONEAPI_INSTALLER_URL .dmg)/bootstrapper.app/Contents/MacOS/bootstrapper --silent --eula accept --components intel.oneapi.mac.dnnl
-          cmake -DCMAKE_INSTALL_PREFIX=$PWD/install -DBUILD_TESTS=ON -DWITH_MKL=OFF -DWITH_DNNL=ON .
-
       - name: Build
         run: |
           make install
@@ -157,12 +132,12 @@ jobs:
     runs-on: ${{ matrix.os }}
     strategy:
       matrix:
-        os: [ubuntu-20.04, macos-11, windows-2019]
+        os: [ubuntu-20.04, windows-2019]
         arch: [auto64]
         include:
         - os: ubuntu-20.04
           arch: aarch64
-        - os: macos-11
+        - os: macos-12
           arch: arm64
 
     steps:
@@ -206,7 +181,7 @@ jobs:
     runs-on: ${{ matrix.os }}
     strategy:
       matrix:
-        os: [ubuntu-20.04, macos-11, windows-2019]
+        os: [ubuntu-20.04, windows-2019]
 
     steps:
       - name: Set up Python 3.8
@@ -231,11 +206,6 @@ jobs:
         run: |
           pip install *cp38*manylinux*x86_64.whl
 
-      - name: Install wheel
-        if: startsWith(matrix.os, 'macos')
-        run: |
-          pip install *cp38*macosx*x86_64.whl
-
       - name: Install wheel
         if: startsWith(matrix.os, 'windows')
         shell: bash

CMakeLists.txt

@@ -21,6 +21,7 @@ option(BUILD_CLI "Compile the clients" ON)
 option(BUILD_TESTS "Compile the tests" OFF)
 option(BUILD_SHARED_LIBS "Build shared libraries" ON)
 option(WITH_TENSOR_PARALLEL "Compile with NCCL and MPI backend" OFF)
+option(WITH_FLASH_ATTN "Compile with Flash Attention 2" OFF)
 
 if(ENABLE_PROFILING)
   message(STATUS "Enable profiling support")
@@ -485,8 +486,10 @@ if (WITH_CUDA)
   set(CUDA_HOST_COMPILER ${CMAKE_CXX_COMPILER})
 
   # flags for flash attention
-  list(APPEND CUDA_NVCC_FLAGS "--expt-relaxed-constexpr")
-  list(APPEND CUDA_NVCC_FLAGS "--expt-extended-lambda")
+  if (WITH_FLASH_ATTN)
+    list(APPEND CUDA_NVCC_FLAGS "--expt-relaxed-constexpr")
+    list(APPEND CUDA_NVCC_FLAGS "--expt-extended-lambda")
+  endif()
 
   message(STATUS "NVCC host compiler: ${CUDA_HOST_COMPILER}")
   message(STATUS "NVCC compilation flags: ${CUDA_NVCC_FLAGS}")
@@ -570,77 +573,84 @@ if (WITH_CUDA)
     src/ops/topp_mask_gpu.cu
     src/ops/quantize_gpu.cu
     src/ops/nccl_ops_gpu.cu
-    src/ops/flash-attention/flash_fwd_hdim32_bf16_sm80.cu
-    src/ops/flash-attention/flash_fwd_hdim32_fp16_sm80.cu
-    src/ops/flash-attention/flash_fwd_hdim64_bf16_sm80.cu
-    src/ops/flash-attention/flash_fwd_hdim64_fp16_sm80.cu
-    src/ops/flash-attention/flash_fwd_hdim96_bf16_sm80.cu
-    src/ops/flash-attention/flash_fwd_hdim96_fp16_sm80.cu
-    src/ops/flash-attention/flash_fwd_hdim128_bf16_sm80.cu
-    src/ops/flash-attention/flash_fwd_hdim128_fp16_sm80.cu
-    src/ops/flash-attention/flash_fwd_hdim160_bf16_sm80.cu
-    src/ops/flash-attention/flash_fwd_hdim160_fp16_sm80.cu
-    src/ops/flash-attention/flash_fwd_hdim192_bf16_sm80.cu
-    src/ops/flash-attention/flash_fwd_hdim192_fp16_sm80.cu
-    src/ops/flash-attention/flash_fwd_hdim224_bf16_sm80.cu
-    src/ops/flash-attention/flash_fwd_hdim224_fp16_sm80.cu
-    src/ops/flash-attention/flash_fwd_hdim256_bf16_sm80.cu
-    src/ops/flash-attention/flash_fwd_hdim256_fp16_sm80.cu
-    src/ops/flash-attention/flash_fwd_split_hdim32_bf16_sm80.cu
-    src/ops/flash-attention/flash_fwd_split_hdim32_fp16_sm80.cu
-    src/ops/flash-attention/flash_fwd_split_hdim64_bf16_sm80.cu
-    src/ops/flash-attention/flash_fwd_split_hdim64_fp16_sm80.cu
-    src/ops/flash-attention/flash_fwd_split_hdim96_bf16_sm80.cu
-    src/ops/flash-attention/flash_fwd_split_hdim96_fp16_sm80.cu
-    src/ops/flash-attention/flash_fwd_split_hdim128_bf16_sm80.cu
-    src/ops/flash-attention/flash_fwd_split_hdim128_fp16_sm80.cu
-    src/ops/flash-attention/flash_fwd_split_hdim160_bf16_sm80.cu
-    src/ops/flash-attention/flash_fwd_split_hdim160_fp16_sm80.cu
-    src/ops/flash-attention/flash_fwd_split_hdim192_bf16_sm80.cu
-    src/ops/flash-attention/flash_fwd_split_hdim192_fp16_sm80.cu
-    src/ops/flash-attention/flash_fwd_split_hdim224_bf16_sm80.cu
-    src/ops/flash-attention/flash_fwd_split_hdim224_fp16_sm80.cu
-    src/ops/flash-attention/flash_fwd_split_hdim256_bf16_sm80.cu
-    src/ops/flash-attention/flash_fwd_split_hdim256_fp16_sm80.cu
     src/ops/awq/gemm_gpu.cu
     src/ops/awq/gemv_gpu.cu
     src/ops/awq/dequantize_gpu.cu
   )
+  if (WITH_FLASH_ATTN)
+    add_definitions(-DCT2_WITH_FLASH_ATTN)
+    cuda_add_library(${PROJECT_NAME}
+      src/ops/flash-attention/flash_fwd_hdim32_bf16_sm80.cu
+      src/ops/flash-attention/flash_fwd_hdim32_fp16_sm80.cu
+      src/ops/flash-attention/flash_fwd_hdim64_bf16_sm80.cu
+      src/ops/flash-attention/flash_fwd_hdim64_fp16_sm80.cu
+      src/ops/flash-attention/flash_fwd_hdim96_bf16_sm80.cu
+      src/ops/flash-attention/flash_fwd_hdim96_fp16_sm80.cu
+      src/ops/flash-attention/flash_fwd_hdim128_bf16_sm80.cu
+      src/ops/flash-attention/flash_fwd_hdim128_fp16_sm80.cu
+      src/ops/flash-attention/flash_fwd_hdim160_bf16_sm80.cu
+      src/ops/flash-attention/flash_fwd_hdim160_fp16_sm80.cu
+      src/ops/flash-attention/flash_fwd_hdim192_bf16_sm80.cu
+      src/ops/flash-attention/flash_fwd_hdim192_fp16_sm80.cu
+      src/ops/flash-attention/flash_fwd_hdim224_bf16_sm80.cu
+      src/ops/flash-attention/flash_fwd_hdim224_fp16_sm80.cu
+      src/ops/flash-attention/flash_fwd_hdim256_bf16_sm80.cu
+      src/ops/flash-attention/flash_fwd_hdim256_fp16_sm80.cu
+      src/ops/flash-attention/flash_fwd_split_hdim32_bf16_sm80.cu
+      src/ops/flash-attention/flash_fwd_split_hdim32_fp16_sm80.cu
+      src/ops/flash-attention/flash_fwd_split_hdim64_bf16_sm80.cu
+      src/ops/flash-attention/flash_fwd_split_hdim64_fp16_sm80.cu
+      src/ops/flash-attention/flash_fwd_split_hdim96_bf16_sm80.cu
+      src/ops/flash-attention/flash_fwd_split_hdim96_fp16_sm80.cu
+      src/ops/flash-attention/flash_fwd_split_hdim128_bf16_sm80.cu
+      src/ops/flash-attention/flash_fwd_split_hdim128_fp16_sm80.cu
+      src/ops/flash-attention/flash_fwd_split_hdim160_bf16_sm80.cu
+      src/ops/flash-attention/flash_fwd_split_hdim160_fp16_sm80.cu
+      src/ops/flash-attention/flash_fwd_split_hdim192_bf16_sm80.cu
+      src/ops/flash-attention/flash_fwd_split_hdim192_fp16_sm80.cu
+      src/ops/flash-attention/flash_fwd_split_hdim224_bf16_sm80.cu
+      src/ops/flash-attention/flash_fwd_split_hdim224_fp16_sm80.cu
+      src/ops/flash-attention/flash_fwd_split_hdim256_bf16_sm80.cu
+      src/ops/flash-attention/flash_fwd_split_hdim256_fp16_sm80.cu
+    )
+
+    set_source_files_properties(
+      src/ops/flash-attention/flash_fwd_hdim32_bf16_sm80.cu
+      src/ops/flash-attention/flash_fwd_hdim32_fp16_sm80.cu
+      src/ops/flash-attention/flash_fwd_hdim64_bf16_sm80.cu
+      src/ops/flash-attention/flash_fwd_hdim64_fp16_sm80.cu
+      src/ops/flash-attention/flash_fwd_hdim96_bf16_sm80.cu
+      src/ops/flash-attention/flash_fwd_hdim96_fp16_sm80.cu
+      src/ops/flash-attention/flash_fwd_hdim128_bf16_sm80.cu
+      src/ops/flash-attention/flash_fwd_hdim128_fp16_sm80.cu
+      src/ops/flash-attention/flash_fwd_hdim160_bf16_sm80.cu
+      src/ops/flash-attention/flash_fwd_hdim160_fp16_sm80.cu
+      src/ops/flash-attention/flash_fwd_hdim192_bf16_sm80.cu
+      src/ops/flash-attention/flash_fwd_hdim192_fp16_sm80.cu
+      src/ops/flash-attention/flash_fwd_hdim224_bf16_sm80.cu
+      src/ops/flash-attention/flash_fwd_hdim224_fp16_sm80.cu
+      src/ops/flash-attention/flash_fwd_hdim256_bf16_sm80.cu
+      src/ops/flash-attention/flash_fwd_hdim256_fp16_sm80.cu
+      src/ops/flash-attention/flash_fwd_split_hdim32_bf16_sm80.cu
+      src/ops/flash-attention/flash_fwd_split_hdim32_fp16_sm80.cu
+      src/ops/flash-attention/flash_fwd_split_hdim64_bf16_sm80.cu
+      src/ops/flash-attention/flash_fwd_split_hdim64_fp16_sm80.cu
+      src/ops/flash-attention/flash_fwd_split_hdim96_bf16_sm80.cu
+      src/ops/flash-attention/flash_fwd_split_hdim96_fp16_sm80.cu
+      src/ops/flash-attention/flash_fwd_split_hdim128_bf16_sm80.cu
+      src/ops/flash-attention/flash_fwd_split_hdim128_fp16_sm80.cu
+      src/ops/flash-attention/flash_fwd_split_hdim160_bf16_sm80.cu
+      src/ops/flash-attention/flash_fwd_split_hdim160_fp16_sm80.cu
+      src/ops/flash-attention/flash_fwd_split_hdim192_bf16_sm80.cu
+      src/ops/flash-attention/flash_fwd_split_hdim192_fp16_sm80.cu
+      src/ops/flash-attention/flash_fwd_split_hdim224_bf16_sm80.cu
+      src/ops/flash-attention/flash_fwd_split_hdim224_fp16_sm80.cu
+      src/ops/flash-attention/flash_fwd_split_hdim256_bf16_sm80.cu
+      src/ops/flash-attention/flash_fwd_split_hdim256_fp16_sm80.cu
+      PROPERTIES COMPILE_FLAGS "--use_fast_math")
+  endif()
+
 
-  set_source_files_properties(
-    src/ops/flash-attention/flash_fwd_hdim32_bf16_sm80.cu
-    src/ops/flash-attention/flash_fwd_hdim32_fp16_sm80.cu
-    src/ops/flash-attention/flash_fwd_hdim64_bf16_sm80.cu
-    src/ops/flash-attention/flash_fwd_hdim64_fp16_sm80.cu
-    src/ops/flash-attention/flash_fwd_hdim96_bf16_sm80.cu
-    src/ops/flash-attention/flash_fwd_hdim96_fp16_sm80.cu
-    src/ops/flash-attention/flash_fwd_hdim128_bf16_sm80.cu
-    src/ops/flash-attention/flash_fwd_hdim128_fp16_sm80.cu
-    src/ops/flash-attention/flash_fwd_hdim160_bf16_sm80.cu
-    src/ops/flash-attention/flash_fwd_hdim160_fp16_sm80.cu
-    src/ops/flash-attention/flash_fwd_hdim192_bf16_sm80.cu
-    src/ops/flash-attention/flash_fwd_hdim192_fp16_sm80.cu
-    src/ops/flash-attention/flash_fwd_hdim224_bf16_sm80.cu
-    src/ops/flash-attention/flash_fwd_hdim224_fp16_sm80.cu
-    src/ops/flash-attention/flash_fwd_hdim256_bf16_sm80.cu
-    src/ops/flash-attention/flash_fwd_hdim256_fp16_sm80.cu
-    src/ops/flash-attention/flash_fwd_split_hdim32_bf16_sm80.cu
-    src/ops/flash-attention/flash_fwd_split_hdim32_fp16_sm80.cu
-    src/ops/flash-attention/flash_fwd_split_hdim64_bf16_sm80.cu
-    src/ops/flash-attention/flash_fwd_split_hdim64_fp16_sm80.cu
-    src/ops/flash-attention/flash_fwd_split_hdim96_bf16_sm80.cu
-    src/ops/flash-attention/flash_fwd_split_hdim96_fp16_sm80.cu
-    src/ops/flash-attention/flash_fwd_split_hdim128_bf16_sm80.cu
-    src/ops/flash-attention/flash_fwd_split_hdim128_fp16_sm80.cu
-    src/ops/flash-attention/flash_fwd_split_hdim160_bf16_sm80.cu
-    src/ops/flash-attention/flash_fwd_split_hdim160_fp16_sm80.cu
-    src/ops/flash-attention/flash_fwd_split_hdim192_bf16_sm80.cu
-    src/ops/flash-attention/flash_fwd_split_hdim192_fp16_sm80.cu
-    src/ops/flash-attention/flash_fwd_split_hdim224_bf16_sm80.cu
-    src/ops/flash-attention/flash_fwd_split_hdim224_fp16_sm80.cu
-    src/ops/flash-attention/flash_fwd_split_hdim256_bf16_sm80.cu
-    src/ops/flash-attention/flash_fwd_split_hdim256_fp16_sm80.cu
-    PROPERTIES COMPILE_FLAGS "--use_fast_math")
 elseif(WITH_CUDNN)
   message(FATAL_ERROR "WITH_CUDNN=ON requires WITH_CUDA=ON")
 else()

python/tools/prepare_build_environment_linux.sh

@@ -19,9 +19,12 @@ if [ "$CIBW_ARCHS" == "aarch64" ]; then
     rm -r OpenBLAS-*
 
 else
-
     # Install CUDA 12.2:
     yum-config-manager --add-repo https://developer.download.nvidia.com/compute/cuda/repos/rhel7/x86_64/cuda-rhel7.repo
+    # error mirrorlist.centos.org doesn't exists anymore.
+    sed -i s/mirror.centos.org/vault.centos.org/g /etc/yum.repos.d/*.repo
+    sed -i s/^#.*baseurl=http/baseurl=http/g /etc/yum.repos.d/*.repo
+    sed -i s/^mirrorlist=http/#mirrorlist=http/g /etc/yum.repos.d/*.repo
     yum install --setopt=obsoletes=0 -y \
         cuda-nvcc-12-2-12.2.140-1 \
         cuda-cudart-devel-12-2-12.2.140-1 \

python/tools/prepare_test_environment.sh

@@ -3,6 +3,9 @@
 set -e
 set -x
 
+# force use pip < 24.1
+python -m pip install 'pip<24.1'
+
 # Install test rquirements
 pip cache purge
 pip --no-cache-dir install -r python/tests/requirements.txt --extra-index-url https://download.pytorch.org/whl/cpu

src/ops/flash_attention_gpu.cu

@@ -1,8 +1,9 @@
 #include "ctranslate2/ops/flash_attention.h"
+#ifdef CT2_WITH_FLASH_ATTN
 #include "ctranslate2/ops/flash-attention/flash.h"
 #include "ctranslate2/ops/flash-attention/static_switch.h"
+#endif
 #include "ctranslate2/ops/transpose.h"
-#include "ctranslate2/ops/slide.h"
 #include "cuda/utils.h"
 
 #include "dispatch.h"
@@ -13,6 +14,7 @@
 
 namespace ctranslate2 {
   namespace ops {
+#ifdef CT2_WITH_FLASH_ATTN
     static void set_params_fprop(Flash_fwd_params &params,
       // sizes
                                  const size_t b,
@@ -188,7 +190,7 @@ namespace ctranslate2 {
     }
 
     static const ops::Transpose transpose_op({0, 2, 1, 3});
-
+#endif
     template<>
     void FlashAttention::compute<Device::CUDA>(StorageView& queries,
                                                StorageView& keys,
@@ -203,6 +205,7 @@ namespace ctranslate2 {
                                                const bool rotary_interleave,
                                                StorageView* alibi,
                                                dim_t offset) const {
+#ifdef CT2_WITH_FLASH_ATTN
       const Device device = queries.device();
       const DataType dtype = queries.dtype();
 
@@ -357,6 +360,9 @@ namespace ctranslate2 {
         output.reshape({batch_size, 1, num_heads_k * seqlen_q, head_size_og});
         softmax_lse = softmax_lse.reshape({batch_size, num_heads_k * seqlen_q, 1});
       }
+#else
+      throw std::runtime_error("Flash attention 2 is not supported");
+#endif
     }
   }
 }