[CCCL] Add missing CCCL components: c2h, nvbench_helper, cmake, cudax, AGENTS.md
Added 863 files from NVIDIA/cccl sparse checkout: - c2h/ (27 files): Catch2 test helpers — generators, validators, runner - nvbench_helper/ (10 files): Benchmark harness utilities - cmake/ (29 files): CMake presets and build helpers - cudax/ (794 files): Experimental CUDA extensions - AGENTS.md: NVIDIA's official AI agent instructions for CCCL - CMakePresets.json: Standardized build configurations - cccl-version.json: Version tracking Also added CCCL_ASSET_MAP.md mapping all 4295 CCCL files to competition value and PRD items. cccl_upstream now covers 100% of competition-critical assets: - 27 tuning headers (SM80/90/100 benchmark data) - 32 dispatch headers (algorithm implementations) - 60 Thrust examples (correctness verification) - 217 CUB Catch2 tests (regression matrix) - 153 CUB benchmarks (parameter space search) - 18 CUB examples (API verification) - 27 test helpers + benchmark harness - 794 cudax experimental extensions
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93
cccl_upstream/cudax/test/algorithm/fill.cu
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93
cccl_upstream/cudax/test/algorithm/fill.cu
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//===----------------------------------------------------------------------===//
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//
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// Part of CUDA Experimental 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) 2024 NVIDIA CORPORATION & AFFILIATES.
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//
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//===----------------------------------------------------------------------===//
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#include "common.cuh"
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C2H_TEST("Fill", "[data_manipulation]")
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{
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cuda::stream _stream{cuda::device_ref{0}};
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SECTION("Host resource")
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{
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cuda::mr::legacy_pinned_memory_resource host_resource;
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cudax::uninitialized_buffer<int, cuda::mr::device_accessible> buffer(host_resource, buffer_size);
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cuda::fill_bytes(_stream, buffer, fill_byte);
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check_result_and_erase(_stream, cuda::std::span(buffer));
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}
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SECTION("Device resource")
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{
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cuda::device_memory_pool_ref device_resource = cuda::device_default_memory_pool(cuda::device_ref{0});
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cudax::uninitialized_buffer<int, cuda::mr::device_accessible> buffer(device_resource, buffer_size);
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cuda::fill_bytes(_stream, buffer, fill_byte);
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std::vector<int> host_vector(42);
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REQUIRE_CUDART(cudaMemcpyAsync(
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host_vector.data(), buffer.data(), buffer.size() * sizeof(int), cudaMemcpyDefault, _stream.get()));
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check_result_and_erase(_stream, host_vector);
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}
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SECTION("Launch transform")
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{
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cuda::mr::legacy_pinned_memory_resource host_resource;
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cudax::weird_buffer buffer(host_resource, buffer_size);
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cuda::fill_bytes(_stream, buffer, fill_byte);
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check_result_and_erase(_stream, cuda::std::span(buffer.data, buffer.size));
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}
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}
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C2H_TEST("Mdspan Fill", "[data_manipulation]")
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{
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cuda::stream stream{cuda::device_ref{0}};
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{
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cuda::std::dextents<size_t, 3> dynamic_extents{1, 2, 3};
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auto buffer = make_buffer_for_mdspan(dynamic_extents, 0);
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cuda::std::mdspan<int, decltype(dynamic_extents)> dynamic_mdspan(buffer.data(), dynamic_extents);
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cuda::fill_bytes(stream, dynamic_mdspan, fill_byte);
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check_result_and_erase(stream, cuda::std::span(buffer.data(), buffer.size()));
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}
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{
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cuda::std::extents<size_t, 2, cuda::std::dynamic_extent, 4> mixed_extents{1};
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auto buffer = make_buffer_for_mdspan(mixed_extents, 0);
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cuda::std::mdspan<int, decltype(mixed_extents)> mixed_mdspan(buffer.data(), mixed_extents);
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cuda::fill_bytes(stream, cuda::std::move(mixed_mdspan), fill_byte);
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check_result_and_erase(stream, cuda::std::span(buffer.data(), buffer.size()));
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}
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{
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cuda::mr::legacy_pinned_memory_resource host_resource;
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using static_extents = cuda::std::extents<size_t, 2, 3, 4>;
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auto size = cuda::std::layout_left::mapping<static_extents>().required_span_size();
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cudax::weird_buffer<cuda::std::mdspan<int, static_extents>> buffer(host_resource, size);
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cuda::fill_bytes(stream, buffer, fill_byte);
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check_result_and_erase(stream, cuda::std::span(buffer.data, buffer.size));
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}
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}
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C2H_TEST("Non exhaustive mdspan fill_bytes", "[data_manipulation]")
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{
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cuda::stream stream{cuda::device_ref{0}};
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{
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auto fake_strided_mdspan = create_fake_strided_mdspan();
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try
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{
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cuda::fill_bytes(stream, fake_strided_mdspan, fill_byte);
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}
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catch (const ::std::invalid_argument& e)
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{
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CHECK(e.what() == ::std::string("fill_bytes supports only exhaustive mdspans"));
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}
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}
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}
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