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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

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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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76
cccl_upstream/cudax/test/multi_gpu/include/algorithm_common.h
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@@ -1,76 +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) 2026 NVIDIA CORPORATION & AFFILIATES.
//
//===----------------------------------------------------------------------===//
#pragma once
#include <cuda/buffer>
#include <cuda/std/cstddef>
#include <exception>
#include <future>
#include <vector>
// One output iterator per local output buffer. Collected after `out` is fully built so the
// iterators do not dangle across reallocations.
template <class T>
[[nodiscard]] std::vector<typename cuda::device_buffer<T>::iterator>
make_output_iterators(std::vector<cuda::device_buffer<T>>& out)
{
std::vector<typename cuda::device_buffer<T>::iterator> outputs;
outputs.reserve(out.size());
for (auto& buf : out)
{
outputs.push_back(buf.begin());
}
return outputs;
}
template <class Fn>
void run_threaded(cuda::std::size_t num_ranks, Fn fn)
{
// Every rank must be launched before any is waited on: the single-communicator `reduce`
// blocks on a collective, so calling `get()` on rank 0's future before rank 1 is even
// started would deadlock. Launch all futures into the vector first, then drain them.
std::vector<std::future<void>> futures;
futures.reserve(num_ranks);
for (cuda::std::size_t i = 0; i < num_ranks; ++i)
{
futures.push_back(std::async(std::launch::async, fn, i));
}
// `std::async` stashes any exception thrown by `fn` in the future and `get()` rethrows it on
// the main thread, where Catch2 can report it as a normal failure. Any not-yet-drained
// future still joins its thread in its destructor, so a throw here never leaves a peer
// waiting on an unposted collective. Drain every future so a failure on rank 0 does not mask
// one on a peer.
std::exception_ptr error = nullptr;
for (auto& f : futures)
{
try
{
f.get();
}
catch (...)
{
if (!error)
{
error = std::current_exception();
}
}
}
if (error)
{
std::rethrow_exception(error);
}
}

94
cccl_upstream/cudax/test/multi_gpu/include/nccl_test_common.h
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@@ -1,94 +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) 2026 NVIDIA CORPORATION & AFFILIATES.
//
//===----------------------------------------------------------------------===//
#ifndef CUDAX_TEST_MULTI_NCCL_TEST_COMMON_H
#define CUDAX_TEST_MULTI_NCCL_TEST_COMMON_H
#include <cuda/devices>
#include <cuda/std/cstddef>
#include <cuda/std/span>
#include <cuda/experimental/__multi_gpu/nccl_communicator.h>
#include <cuda/experimental/__multi_gpu/nccl_communicator_ref.h>
#include <cuda/experimental/stream.cuh>
#include <vector>
#include <nccl.h>
#include <c2h/catch2_test_helper.h>
namespace cudax = ::cuda::experimental;
namespace nccl_test_util
{
// One stream per rank, each current on its own device.
[[nodiscard]] inline std::vector<cudax::stream> make_streams()
{
return {cuda::devices.begin(), cuda::devices.end()};
}
[[nodiscard]] inline const std::vector<cudax::nccl_communicator>& nccl_comms()
{
static const auto comms = []() -> std::vector<cudax::nccl_communicator> {
if (cuda::devices.size() == 0)
{
SKIP("No CUDA devices visible");
}
std::vector<int> devs;
devs.reserve(cuda::devices.size());
for (auto d : cuda::devices)
{
devs.emplace_back(d.get());
}
std::vector<ncclComm_t> raw_comms(devs.size());
const ncclResult_t result = ncclCommInitAll(raw_comms.data(), static_cast<int>(devs.size()), devs.data());
INFO("NCCL: " << ncclGetErrorString(result));
REQUIRE(result == ncclSuccess);
std::vector<cudax::nccl_communicator> comms;
comms.reserve(raw_comms.size());
for (const auto comm : raw_comms)
{
comms.emplace_back(cudax::nccl_communicator::from_native_handle(comm));
}
return comms;
}();
return comms;
}
// Caches a single-process, multi-GPU NCCL communicator world for the life of the entire test
// suite.
template <class = void>
class nccl_comm_fixture
{
public:
[[nodiscard]] cuda::std::span<cudax::nccl_communicator_ref> communicators()
{
return wrappers_;
}
private:
std::vector<cudax::nccl_communicator_ref> wrappers_{nccl_comms().begin(), nccl_comms().end()};
};
#define MULTI_GPU_TEST(NAME, ...) \
C2H_TEST_WITH_FIXTURE(::nccl_test_util::nccl_comm_fixture, NAME, "[multi_gpu][nccl]", __VA_ARGS__)
} // namespace nccl_test_util
#endif // CUDAX_TEST_MULTI_GPU_NCCL_TEST_COMMON_H