Add ForEachN from CUB to cccl/c.

c/CMakeLists.txt

@@ -2,7 +2,11 @@ cmake_minimum_required(VERSION 3.30)
 
 project(cccl.c LANGUAGES CUDA CXX)
 
-add_library(cccl.c SHARED src/reduce.cu)
+add_library(cccl.c SHARED
+    src/reduce.cu src/for.cu
+    src/for/for_op_helper.cpp
+    src/util/errors.cpp src/util/types.cpp src/util/context.cpp)
+
 set_property(TARGET cccl.c PROPERTY POSITION_INDEPENDENT_CODE ON)
 set_property(TARGET cccl.c PROPERTY CXX_STANDARD 20)
 set_property(TARGET cccl.c PROPERTY CUDA_STANDARD 20)
@@ -16,5 +20,6 @@ target_link_libraries(cccl.c PRIVATE CUDA::cudart
                                      CUDA::cuda_driver)
 target_compile_definitions(cccl.c PRIVATE NVRTC_GET_TYPE_NAME=1 CCCL_C_EXPERIMENTAL=1)
 target_include_directories(cccl.c PUBLIC "include")
+target_include_directories(cccl.c PRIVATE "src")
 
 add_subdirectory(test)

c/include/cccl/c/for.h

@@ -0,0 +1,50 @@
+//===----------------------------------------------------------------------===//
+//
+// Part of CUDA Experimental in CUDA C++ Core Libraries,
+// under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+// SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES.
+//
+//===----------------------------------------------------------------------===//
+
+#pragma once
+
+#ifndef CCCL_C_EXPERIMENTAL
+#  warning "C exposure is experimental and subject to change. Define CCCL_C_EXPERIMENTAL to acknowledge this warning."
+#else // ^^^ !CCCL_C_EXPERIMENTAL ^^^ / vvv CCCL_C_EXPERIMENTAL vvv
+
+#  include <cuda.h>
+
+#  include <cccl/c/types.h>
+
+struct cccl_device_for_build_result_t
+{
+  int cc;
+  void* cubin;
+  size_t cubin_size;
+  CUlibrary library;
+  CUkernel static_kernel;
+};
+
+extern "C" CCCL_C_API CUresult cccl_device_for_build(
+  cccl_device_for_build_result_t* build,
+  cccl_iterator_t d_data,
+  cccl_op_t op,
+  int cc_major,
+  int cc_minor,
+  const char* cub_path,
+  const char* thrust_path,
+  const char* libcudacxx_path,
+  const char* ctk_path) noexcept;
+
+extern "C" CCCL_C_API CUresult cccl_device_for(
+  cccl_device_for_build_result_t build,
+  cccl_iterator_t d_data,
+  int64_t num_items,
+  cccl_op_t op,
+  CUstream stream) noexcept;
+
+extern "C" CCCL_C_API CUresult cccl_device_for_cleanup(cccl_device_for_build_result_t* bld_ptr);
+
+#endif // CCCL_C_EXPERIMENTAL

c/src/for.cu

@@ -0,0 +1,230 @@
+//===----------------------------------------------------------------------===//
+//
+// Part of CUDA Experimental in CUDA C++ Core Libraries,
+// under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+// SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES.
+//
+//===----------------------------------------------------------------------===//
+
+#include <cub/detail/choose_offset.cuh>
+#include <cub/grid/grid_even_share.cuh>
+#include <cub/util_device.cuh>
+
+#include <format>
+#include <iostream>
+#include <type_traits>
+
+#include <cccl/c/for.h>
+#include <cccl/c/types.h>
+#include <for/for_op_helper.h>
+#include <nvJitLink.h>
+#include <nvrtc.h>
+#include <util/context.h>
+#include <util/errors.h>
+#include <util/types.h>
+
+struct op_wrapper;
+struct device_reduce_policy;
+
+using OffsetT = unsigned long long;
+static_assert(std::is_same_v<cub::detail::choose_offset_t<OffsetT>, OffsetT>, "OffsetT must be size_t");
+
+static cudaError_t
+Invoke(cccl_iterator_t d_in, size_t num_items, cccl_op_t op, int cc, CUfunction static_kernel, CUstream stream)
+{
+  cudaError error = cudaSuccess;
+
+  if (num_items == 0)
+  {
+    return error;
+  }
+
+  auto for_kernel_state = make_for_kernel_state(op, d_in);
+
+  void* args[] = {&num_items, for_kernel_state.get()};
+
+  int thread_count = 256;
+  int block_count  = (num_items + 511) / 512;
+  check(cuLaunchKernel(static_kernel, block_count, 1, 1, thread_count, 1, 1, 0, stream, args, 0));
+
+  // Check for failure to launch
+  error = CubDebug(cudaPeekAtLastError());
+
+  return error;
+}
+
+struct for_each_wrapper;
+
+static std::string get_device_for_kernel_name()
+{
+  std::string offset_t;
+  std::string function_op_t;
+  check(nvrtcGetTypeName<for_each_wrapper>(&function_op_t));
+  check(nvrtcGetTypeName<OffsetT>(&offset_t));
+
+  return std::format("cub::detail::for_each::static_kernel<device_for_policy, {0}, {1}>", offset_t, function_op_t);
+}
+
+extern "C" CCCL_C_API CUresult cccl_device_for_build(
+  cccl_device_for_build_result_t* build,
+  cccl_iterator_t d_data,
+  cccl_op_t op,
+  int cc_major,
+  int cc_minor,
+  const char* cub_path,
+  const char* thrust_path,
+  const char* libcudacxx_path,
+  const char* ctk_path) noexcept
+{
+  CUresult error = CUDA_SUCCESS;
+
+  try
+  {
+    if (d_data.type == cccl_iterator_kind_t::iterator)
+    {
+      throw std::runtime_error(std::string("Iterators are unsupported in for_each currently"));
+    }
+
+    nvrtcProgram prog{};
+    const char* name = "test";
+
+    const int cc                     = cc_major * 10 + cc_minor;
+    const std::string d_data_value_t = cccl_type_enum_to_string(d_data.value_type.type);
+    const std::string offset_t       = cccl_type_enum_to_string(cccl_type_enum::UINT64);
+
+    const std::string for_kernel_name   = get_device_for_kernel_name();
+    const std::string device_for_kernel = get_for_kernel(op, d_data);
+
+    check(nvrtcCreateProgram(&prog, device_for_kernel.c_str(), name, 0, nullptr, nullptr));
+
+    check(nvrtcAddNameExpression(prog, for_kernel_name.c_str()));
+
+    const std::string arch = std::format("-arch=sm_{0}{1}", cc_major, cc_minor);
+
+    constexpr int num_args = 7;
+    const char* args[]     = {arch.c_str(), cub_path, thrust_path, libcudacxx_path, ctk_path, "-rdc=true", "-dlto"};
+
+    std::size_t log_size{};
+    nvrtcResult compile_result = nvrtcCompileProgram(prog, num_args, args);
+
+    check(nvrtcGetProgramLogSize(prog, &log_size));
+    std::unique_ptr<char[]> log{new char[log_size]};
+    check(nvrtcGetProgramLog(prog, log.get()));
+
+    if (log_size > 1)
+    {
+      std::cerr << log.get() << std::endl;
+    }
+
+    std::string for_kernel_lowered_name;
+    {
+      const char* for_kernel_lowered_name_temp;
+      check(nvrtcGetLoweredName(prog, for_kernel_name.c_str(), &for_kernel_lowered_name_temp));
+      for_kernel_lowered_name = for_kernel_lowered_name_temp;
+    }
+
+    check(compile_result);
+
+    std::size_t ltoir_size{};
+    check(nvrtcGetLTOIRSize(prog, &ltoir_size));
+    std::unique_ptr<char[]> ltoir{new char[ltoir_size]};
+    check(nvrtcGetLTOIR(prog, ltoir.get()));
+    check(nvrtcDestroyProgram(&prog));
+
+    nvJitLinkHandle handle;
+    const char* lopts[] = {"-lto", arch.c_str()};
+
+    check(nvJitLinkCreate(&handle, 2, lopts));
+    check(nvJitLinkAddData(handle, NVJITLINK_INPUT_LTOIR, ltoir.get(), ltoir_size, name));
+    check(nvJitLinkAddData(handle, NVJITLINK_INPUT_LTOIR, op.ltoir, op.ltoir_size, name));
+    if (cccl_iterator_kind_t::iterator == d_data.type)
+    {
+      check(nvJitLinkAddData(handle, NVJITLINK_INPUT_LTOIR, d_data.advance.ltoir, d_data.advance.ltoir_size, name));
+      check(
+        nvJitLinkAddData(handle, NVJITLINK_INPUT_LTOIR, d_data.dereference.ltoir, d_data.dereference.ltoir_size, name));
+    }
+
+    auto jitlink_error = nvJitLinkComplete(handle);
+
+    check(nvJitLinkGetErrorLogSize(handle, &log_size));
+    std::unique_ptr<char[]> jitlinklog{new char[log_size]};
+    check(nvJitLinkGetErrorLog(handle, jitlinklog.get()));
+
+    if (log_size > 1)
+    {
+      std::cerr << jitlinklog.get() << std::endl;
+    }
+
+    check(jitlink_error);
+
+    std::size_t cubin_size{};
+    check(nvJitLinkGetLinkedCubinSize(handle, &cubin_size));
+    std::unique_ptr<char[]> cubin{new char[cubin_size]};
+    check(nvJitLinkGetLinkedCubin(handle, cubin.get()));
+    check(nvJitLinkDestroy(&handle));
+
+    cuLibraryLoadData(&build->library, cubin.get(), nullptr, nullptr, 0, nullptr, nullptr, 0);
+    check(cuLibraryGetKernel(&build->static_kernel, build->library, for_kernel_lowered_name.c_str()));
+
+    build->cc         = cc;
+    build->cubin      = cubin.release();
+    build->cubin_size = cubin_size;
+  }
+  catch (...)
+  {
+    error = CUDA_ERROR_UNKNOWN;
+  }
+
+  return error;
+}
+
+extern "C" CCCL_C_API CUresult cccl_device_for(
+  cccl_device_for_build_result_t build,
+  cccl_iterator_t d_data,
+  int64_t num_items,
+  cccl_op_t op,
+  CUstream stream) noexcept
+{
+  bool pushed    = false;
+  CUresult error = CUDA_SUCCESS;
+
+  try
+  {
+    pushed = try_push_context();
+    Invoke(d_data, num_items, op, build.cc, (CUfunction) build.static_kernel, stream);
+  }
+  catch (...)
+  {
+    error = CUDA_ERROR_UNKNOWN;
+  }
+
+  if (pushed)
+  {
+    CUcontext dummy;
+    cuCtxPopCurrent(&dummy);
+  }
+
+  return error;
+}
+
+extern "C" CCCL_C_API CUresult cccl_device_for_cleanup(cccl_device_for_build_result_t* bld_ptr)
+{
+  try
+  {
+    if (bld_ptr == nullptr)
+    {
+      return CUDA_ERROR_INVALID_VALUE;
+    }
+
+    std::unique_ptr<char[]> cubin(reinterpret_cast<char*>(bld_ptr->cubin));
+    check(cuLibraryUnload(bld_ptr->library));
+  }
+  catch (...)
+  {
+    return CUDA_ERROR_UNKNOWN;
+  }
+
+  return CUDA_SUCCESS;
+}