56fd68e7dd
CCCL (CUDA C++ Core Libraries) provides: - CUB: device/block/warp-level GPU primitives (reduce, scan, sort, topk) - Thrust: high-level parallel algorithms (transform_reduce, sort, scan) - libcudacxx: CUDA C++ standard library (atomics, barriers, memory) - cudax: experimental features (memory resources, allocators) - Tuning policies: per-SM hardware-specific algorithm parameters Competition optimization vectors mapped to CCCL: - Output TPS (83% weight): warp_reduce, block_reduce, device_topk - Input TPS (14% weight): device_scan, block_load, prefetch - Cache TPS (3% weight): prefix caching strategy patterns - Memory (0.9 util): pooled/cached/buddy allocators Source: https://github.com/NVIDIA/cccl (shallow clone, HEAD only) License: Apache-2.0
111 lines
2.8 KiB
Plaintext
111 lines
2.8 KiB
Plaintext
//===----------------------------------------------------------------------===//
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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) 2023 NVIDIA CORPORATION & AFFILIATES.
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//
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//===----------------------------------------------------------------------===//
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#ifndef __COMMON_TESTING_H__
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#define __COMMON_TESTING_H__
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#include <cuda/__cccl_config>
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#include <cuda/__driver/driver_api.h>
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#include <cuda/std/__exception/terminate.h>
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#include <nv/target>
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#include <exception> // IWYU pragma: keep
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#include <iostream>
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#include <sstream>
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#include <c2h/catch2_test_helper.h>
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namespace cuda::experimental::execution
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{
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}
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namespace cudax = cuda::experimental; // NOLINT: misc-unused-alias-decls
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namespace cudax_async = cuda::experimental::execution; // NOLINT: misc-unused-alias-decls
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__host__ __device__ constexpr bool operator==(const dim3& lhs, const dim3& rhs) noexcept
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{
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return (lhs.x == rhs.x) && (lhs.y == rhs.y) && (lhs.z == rhs.z);
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}
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namespace Catch
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{
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template <>
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struct StringMaker<dim3>
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{
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static std::string convert(dim3 const& dims)
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{
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std::ostringstream oss;
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oss << "(" << dims.x << ", " << dims.y << ", " << dims.z << ")";
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return oss.str();
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}
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};
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} // namespace Catch
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namespace
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{
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namespace test
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{
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inline int count_driver_stack()
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{
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if (cuda::__driver::__ctxGetCurrent() != nullptr)
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{
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auto ctx = cuda::__driver::__ctxPop();
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auto result = 1 + count_driver_stack();
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cuda::__driver::__ctxPush(ctx);
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return result;
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}
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else
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{
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return 0;
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}
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}
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inline void empty_driver_stack()
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{
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while (cuda::__driver::__ctxGetCurrent() != nullptr)
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{
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cuda::__driver::__ctxPop();
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}
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}
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inline int cuda_driver_version()
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{
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return cuda::__driver::__getVersion();
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}
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// Needs to be a template because we use template catch2 macro
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template <typename Dummy = void>
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struct ccclrt_test_fixture
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{
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ccclrt_test_fixture()
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{
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empty_driver_stack();
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}
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~ccclrt_test_fixture()
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{
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CHECK(count_driver_stack() == 0);
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}
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};
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} // namespace test
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} // namespace
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// Test macro that should be used in all cccl-rt tests
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// It first empties the driver stack in case some other test has left it non-empty
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// and then runs the test. At the end it checks if it remained empty, which ensures
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// we don't accidentally initialize device 0 through REQUIRE_CUDART usage and makes sure
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// our APIs work with empty driver stack.
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#define C2H_CCCLRT_TEST(NAME, TAGS, ...) C2H_TEST_WITH_FIXTURE(::test::ccclrt_test_fixture, NAME, TAGS, __VA_ARGS__)
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#define C2H_CCCLRT_TEST_LIST(NAME, TAGS, ...) \
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C2H_TEST_LIST_WITH_FIXTURE(::test::ccclrt_test_fixture, NAME, TAGS, __VA_ARGS__)
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#endif // __COMMON_TESTING_H__
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