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130 lines
3.5 KiB
C++
130 lines
3.5 KiB
C++
//===----------------------------------------------------------------------===//
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//
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// Part of the LLVM Project, 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) 2025 NVIDIA CORPORATION & AFFILIATES.
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//
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//===----------------------------------------------------------------------===//
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// MIT License
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//
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// Modifications Copyright (C) 2025-2026 Advanced Micro Devices, Inc. All rights reserved.
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//
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// Permission is hereby granted, free of charge, to any person obtaining a copy
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// of this software and associated documentation files (the "Software"), to deal
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// in the Software without restriction, including without limitation the rights
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// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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// copies of the Software, and to permit persons to whom the Software is
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// furnished to do so, subject to the following conditions:
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//
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// The above copyright notice and this permission notice shall be included in all
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// copies or substantial portions of the Software.
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//
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// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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// SOFTWARE.
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#include <cuda/std/cassert>
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#include <cuda/std/cstdint>
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#include <cuda/std/cstdlib>
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#include <cuda/std/limits>
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#include "test_macros.h"
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template <class T>
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__host__ __device__ void test_calloc_success(cuda::std::size_t n)
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{
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T* ptr = static_cast<T*>(cuda::std::calloc(n, sizeof(T)));
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// check that the memory was allocated
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assert(ptr != nullptr);
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// check that the memory is zeroed
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for (cuda::std::size_t i = 0; i < n; ++i)
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{
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assert(ptr[i] == T{});
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}
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// check memory alignment
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assert(((alignof(T) - 1) & reinterpret_cast<cuda::std::uintptr_t>(ptr)) == 0);
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cuda::std::free(ptr);
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}
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template <class T>
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__host__ __device__ void test_calloc_fail(cuda::std::size_t n)
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{
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T* ptr = static_cast<T*>(cuda::std::calloc(n, sizeof(T)));
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// NOTE(HIP/AMD): add a printf to avoid that the pointer is optimized out
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if(ptr != nullptr){
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printf("Error pointer %p is not a nullptr!\n", &ptr[0]);
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}
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// check that the memory was not allocated
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assert(ptr == nullptr);
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}
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struct BigStruct
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{
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static constexpr cuda::std::size_t n = 32;
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int data[n];
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__host__ __device__ bool operator==(const BigStruct& other) const
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{
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for (cuda::std::size_t i{}; i < n; ++i)
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{
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if (data[i] != other.data[i])
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{
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return false;
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}
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}
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return true;
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}
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};
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struct alignas(cuda::std::max_align_t) AlignedStruct
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{
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static constexpr cuda::std::size_t n = 32;
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char data[n];
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__host__ __device__ bool operator==(const AlignedStruct& other) const
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{
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for (cuda::std::size_t i{}; i < n; ++i)
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{
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if (data[i] != other.data[i])
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{
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return false;
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}
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}
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return true;
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}
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};
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__host__ __device__ void test()
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{
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test_calloc_success<int>(10);
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test_calloc_success<char>(128);
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test_calloc_success<double>(8);
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test_calloc_success<BigStruct>(4);
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test_calloc_success<AlignedStruct>(16);
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test_calloc_fail<int>(cuda::std::numeric_limits<cuda::std::size_t>::max());
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}
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int main(int, char**)
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{
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test();
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return 0;
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}
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