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[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

Browse Source 
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
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51
cccl_upstream/cudax/test/utility/ensure_current_device.cu
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@@ -1,51 +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.
//
//===----------------------------------------------------------------------===//
#include <cuda/experimental/__stream/stream.cuh>
#include <cuda/experimental/__utility/ensure_current_device.cuh>
#include <cuda/experimental/launch.cuh>
#include <utility.cuh>
namespace driver = cuda::__driver;
void recursive_check_device_setter(int id)
{
int cudart_id;
cudax::__ensure_current_device setter(cuda::device_ref{id});
REQUIRE(test::count_driver_stack() == cuda::devices.size() - id);
auto ctx = driver::__ctxGetCurrent();
REQUIRE_CUDART(cudaGetDevice(&cudart_id));
REQUIRE(cudart_id == id);
if (id != 0)
{
recursive_check_device_setter(id - 1);
REQUIRE(test::count_driver_stack() == cuda::devices.size() - id);
REQUIRE(ctx == driver::__ctxGetCurrent());
REQUIRE_CUDART(cudaGetDevice(&cudart_id));
REQUIRE(cudart_id == id);
}
}
C2H_TEST("ensure current device", "[device]")
{
test::empty_driver_stack();
// If possible use something different than REQUIRE_CUDART default 0
int target_device = static_cast<int>(cuda::devices.size() - 1);
SECTION("device setter")
{
recursive_check_device_setter(target_device);
REQUIRE(test::count_driver_stack() == 0);
}
}

59
cccl_upstream/cudax/test/utility/optionally_static.cu
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@@ -1,59 +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) 2022-2025 NVIDIA CORPORATION & AFFILIATES.
//
//===----------------------------------------------------------------------===//
#include <cuda/experimental/__utility/optionally_static.cuh>
#include <cstddef>
#include <c2h/catch2_test_helper.h>
namespace cudax = cuda::experimental;
TEST_CASE("optionally_static static value", "[utility]")
{
constexpr cudax::optionally_static<::std::size_t(42), 0> v1;
static_assert(v1.get() == 42);
static_assert(v1 == v1);
static_assert(v1 == 42UL);
constexpr cudax::optionally_static<::std::size_t(43), 0> v2;
static_assert(v2.get() == 43UL);
}
TEST_CASE("optionally_static dynamic value", "[utility]")
{
cudax::optionally_static<::std::size_t(0), 0> v3;
REQUIRE(v3.get() == 0);
v3 = 44;
REQUIRE(v3.get() == 44UL);
}
TEST_CASE("optionally_static multiplication", "[utility]")
{
constexpr cudax::optionally_static<::std::size_t(42), 0> v1;
constexpr cudax::optionally_static<::std::size_t(43), 0> v2;
static_assert(v1 * v1 == 42UL * 42UL);
static_assert(v1 * v2 == 42UL * 43UL);
static_assert(v1 * 44 == 42UL * 44UL);
static_assert(44 * v1 == 42UL * 44UL);
cudax::optionally_static<::std::size_t(0), 0> v3;
v3 = 44;
REQUIRE(v1 * v3 == 42 * 44);
}
TEST_CASE("optionally_static reserved product", "[utility]")
{
constexpr cudax::optionally_static<3, 18> v4;
constexpr cudax::optionally_static<6, 18> v5;
static_assert(v4 * v5 == 18UL);
static_assert(v4 * v5 == (cudax::optionally_static<18, 18>(18)));
}

101
cccl_upstream/cudax/test/utility/unstable_unique.cu
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@@ -1,101 +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) 2022-2025 NVIDIA CORPORATION & AFFILIATES.
//
//===----------------------------------------------------------------------===//
#include <cuda/std/functional>
#include <cuda/experimental/__utility/unstable_unique.cuh>
#include <algorithm>
#include <iterator>
#include <list>
#include <vector>
#include <c2h/catch2_test_helper.h>
namespace cudax = cuda::experimental;
TEST_CASE("unstable_unique empty range", "[utility]")
{
std::vector<int> v;
auto new_end = cudax::unstable_unique(v.begin(), v.end());
REQUIRE(v.end() == new_end);
}
TEST_CASE("unstable_unique no duplicates", "[utility]")
{
std::vector<int> v = {1, 2, 3, 4, 5};
auto new_end = cudax::unstable_unique(v.begin(), v.end());
REQUIRE(v.end() == new_end);
REQUIRE(std::vector<int>({1, 2, 3, 4, 5}) == v);
}
TEST_CASE("unstable_unique leading duplicates", "[utility]")
{
std::vector<int> v = {1, 1, 2, 3, 4, 5};
auto new_end = cudax::unstable_unique(v.begin(), v.end());
REQUIRE(v.begin() + 5 == new_end);
REQUIRE(std::vector<int>({1, 5, 2, 3, 4, 5}) == v);
}
TEST_CASE("unstable_unique interleaved duplicates", "[utility]")
{
std::vector<int> v = {1, 1, 2, 2, 3, 3, 4, 4, 5, 5};
auto new_end = cudax::unstable_unique(v.begin(), v.end());
REQUIRE(v.begin() + 5 == new_end);
REQUIRE(std::vector<int>({1, 5, 2, 4, 3, 3, 4, 4, 5, 5}) == v);
}
TEST_CASE("unstable_unique all same", "[utility]")
{
std::vector<int> v = {1, 1, 1, 1, 1};
auto new_end = cudax::unstable_unique(v.begin(), v.end());
REQUIRE(1 + v.begin() == new_end);
REQUIRE(std::vector<int>({1, 1, 1, 1, 1}) == v);
}
TEST_CASE("unstable_unique trailing unique", "[utility]")
{
std::vector<int> v = {1, 1, 1, 1, 1, 2};
auto new_end = cudax::unstable_unique(v.begin(), v.end());
REQUIRE(v.begin() + 2 == new_end);
REQUIRE(std::vector<int>({1, 2, 1, 1, 1, 2}) == v);
}
TEST_CASE("unstable_unique with custom predicate", "[utility]")
{
std::vector<int> v = {1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 3, 4, 5};
auto new_end = cudax::unstable_unique(v.begin(), v.end(), cuda::std::equal_to<int>{});
REQUIRE(v.begin() + 5 == new_end);
REQUIRE(std::vector<int>{1, 5, 4, 3, 2, 1, 1, 1, 1, 2, 2, 2, 3, 4, 5} == v);
}
TEST_CASE("unstable_unique on bidirectional iterators (std::list)", "[utility]")
{
// std::list has bidirectional (not random-access) iterators -- exercises the
// !=-based loop termination path.
std::list<int> l = {1, 1, 2, 2, 3, 3, 4, 4, 5, 5};
auto new_end = cudax::unstable_unique(l.begin(), l.end());
REQUIRE(std::distance(l.begin(), new_end) == 5);
std::vector<int> deduped(l.begin(), new_end);
std::sort(deduped.begin(), deduped.end());
REQUIRE(std::vector<int>({1, 2, 3, 4, 5}) == deduped);
}
TEST_CASE("unstable_unique on bidirectional iterators with custom predicate", "[utility]")
{
std::list<int> l = {1, 1, 1, 1, 1, 2, 2, 3};
auto new_end = cudax::unstable_unique(l.begin(), l.end(), cuda::std::equal_to<int>{});
REQUIRE(std::distance(l.begin(), new_end) == 3);
std::vector<int> deduped(l.begin(), new_end);
std::sort(deduped.begin(), deduped.end());
REQUIRE(std::vector<int>({1, 2, 3}) == deduped);
}