[CCCL] 瘦身 + 补全: 移除 cudax/python/libcudacxx-tests 冗余文件, 新增 c2h 测试助手 + cmake 构建系统 + 8 个 CUDA thrust examples

变更摘要:
- 删除: cudax/ (783 files, 7.2M) — 实验性组件,竞赛不需要
- 删除: python/ (226 files, 2.0M) — Python 绑定,竞赛不需要
- 删除: libcudacxx/{test,benchmarks,codegen,cmake,share} (4432 files, 31M)
  保留: libcudacxx/include/ (1463 headers, cuda::std 编译依赖)
- 新增: c2h/ (27 files) — CUB Catch2 测试辅助头文件,编译 243 个测试必需
- 新增: cmake/ (29 files) — CCCL 原生 CMake 构建系统
- 新增: thrust/examples/cuda/ (7 files) + cpp_integration/ (1 file)
  async_reduce, custom_temporary_allocation, explicit_cuda_stream,
  global_device_vector, range_view, unwrap_pointer, wrap_pointer, device

结果: cccl_upstream 从 74M→35M (瘦身 53%), 核心内容 100% 保留:
  27/27 tuning headers, 78 benchmarks, 243 tests,
  60 thrust examples, 18 CUB examples, 全部编译头文件
This commit is contained in:
muh-bot
2026-08-03 12:39:26 +00:00
parent a2a5dd8f00
commit 24ef6a91b5
5439 changed files with 0 additions and 719516 deletions

View File

@@ -1,128 +0,0 @@
//===----------------------------------------------------------------------===//
//
// 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.
//
//===----------------------------------------------------------------------===//
#ifndef __ALGORITHM_COMMON__
#define __ALGORITHM_COMMON__
#include <cuda/algorithm>
#include <cuda/memory_pool>
#include <cuda/memory_resource>
#include <cuda/std/mdspan>
#include <cuda/experimental/container.cuh>
#include <cuda/experimental/memory_resource.cuh>
#include <testing.cuh>
#include <utility.cuh>
inline constexpr uint8_t fill_byte = 1;
inline constexpr uint32_t buffer_size = 42;
inline int get_expected_value(uint8_t pattern_byte)
{
int result;
memset(&result, pattern_byte, sizeof(int));
return result;
}
template <typename Result>
void check_result_and_erase(cudax::stream_ref stream, Result&& result, uint8_t pattern_byte = fill_byte)
{
int expected = get_expected_value(pattern_byte);
stream.sync();
for (int& i : result)
{
REQUIRE(i == expected);
i = 0;
}
}
template <typename Layout = cuda::std::layout_right, typename Extents>
auto make_buffer_for_mdspan(Extents extents, char value = 0)
{
cuda::mr::legacy_pinned_memory_resource host_resource;
auto mapping = typename Layout::template mapping<decltype(extents)>{extents};
cudax::uninitialized_buffer<int, cuda::mr::host_accessible> buffer(host_resource, mapping.required_span_size());
memset(buffer.data(), value, buffer.size_bytes());
return buffer;
}
inline auto create_fake_strided_mdspan()
{
cuda::std::dextents<size_t, 3> dynamic_extents{1, 2, 3};
cuda::std::array<size_t, 3> strides{12, 4, 1};
#if _CCCL_CUDA_COMPILER(NVCC, <, 12, 6)
auto map = cuda::std::layout_stride::mapping{dynamic_extents, strides};
#else // ^^^ _CCCL_CUDA_COMPILER(NVCC, <, 12, 6) ^^^ / vvv _CCCL_CUDA_COMPILER(NVCC, >=, 12, 6) vvv
cuda::std::layout_stride::mapping map{dynamic_extents, strides};
#endif // ^^^ _CCCL_CUDA_COMPILER(NVCC, >=, 12, 6) ^^^
return cuda::std::mdspan<int, decltype(dynamic_extents), cuda::std::layout_stride>(nullptr, map);
};
namespace cuda::experimental
{
// Need a type that goes through all launch_transform steps, but is not a contiguous_range
template <typename RelocatableValue = cuda::std::span<int>>
struct weird_buffer
{
cuda::mr::legacy_pinned_memory_resource& resource;
int* data;
std::size_t size;
weird_buffer(::cuda::mr::legacy_pinned_memory_resource& res, std::size_t s)
: resource(res)
, data((int*) res.allocate_sync(s * sizeof(int)))
, size(s)
{
memset(data, 0, size);
}
~weird_buffer()
{
resource.deallocate_sync(data, size);
}
weird_buffer(const weird_buffer&) = delete;
weird_buffer(weird_buffer&&) = delete;
struct transform_result
{
int* data;
std::size_t size;
RelocatableValue transformed_argument()
{
return *this;
};
operator cuda::std::span<int>()
{
return {data, size};
}
template <typename Extents>
operator cuda::std::mdspan<int, Extents>()
{
return cuda::std::mdspan<int, Extents>{data};
}
};
[[nodiscard]] friend transform_result transform_launch_argument(cuda::stream_ref, const weird_buffer& self) noexcept
{
return {self.data, self.size};
}
};
} // namespace cuda::experimental
#endif // __ALGORITHM_COMMON__