[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
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@@ -1,61 +0,0 @@
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//===----------------------------------------------------------------------===//
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//
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// Part of CUDASTF in CUDA C++ Core Libraries,
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// under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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// SPDX-FileCopyrightText: Copyright (c) 2022-2024 NVIDIA CORPORATION & AFFILIATES.
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//
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//===----------------------------------------------------------------------===//
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/**
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* @file
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* @brief This test makes sure we can generate a dot file with sections and stackable contexts
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*/
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#include <cuda/experimental/stf.cuh>
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using namespace cuda::experimental::stf;
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int main()
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{
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// TODO (miscco): Make it work for windows
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#if !_CCCL_COMPILER(MSVC)
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// Test configuration constants
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constexpr size_t buffer_size = 64;
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constexpr size_t num_iterations = 3;
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stackable_ctx ctx;
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// Create logical data for the computation pipeline
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auto lA = ctx.logical_data(shape_of<slice<char>>(buffer_size));
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auto lB = ctx.logical_data(shape_of<slice<char>>(buffer_size));
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auto lC = ctx.logical_data(shape_of<slice<char>>(buffer_size));
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// Initialize all logical data in a dedicated DOT section
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auto r_init = ctx.dot_section("init");
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ctx.task(lA.write()).set_symbol("initA")->*[](cudaStream_t, auto) {};
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ctx.task(lB.write()).set_symbol("initB")->*[](cudaStream_t, auto) {};
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ctx.task(lC.write()).set_symbol("initC")->*[](cudaStream_t, auto) {};
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r_init.end();
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// Test nested DOT sections with stackable contexts
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// This creates a hierarchical structure to verify DOT graph generation
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for (size_t j = 0; j < num_iterations; j++)
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{
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auto r0 = ctx.dot_section("lvl0");
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ctx.task(lA.rw()).set_symbol("f1")->*[](cudaStream_t, auto) {};
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ctx.push();
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{
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auto r1 = ctx.dot_section("lvl1");
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ctx.task(lA.read(), lB.rw()).set_symbol("f2")->*[](cudaStream_t, auto, auto) {};
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ctx.task(lA.read(), lC.rw()).set_symbol("f2")->*[](cudaStream_t, auto, auto) {};
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ctx.task(lB.read(), lC.read(), lA.rw()).set_symbol("f3")->*[](cudaStream_t, auto, auto, auto) {};
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}
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ctx.pop();
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}
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ctx.finalize();
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#endif // !_CCCL_COMPILER(MSVC)
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}
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