81 lines
2.0 KiB
C++
81 lines
2.0 KiB
C++
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//===----------------------------------------------------------------------===//
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//
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// Part of CUDA C++ Core Libraries, under the Apache License v2.0 with
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// LLVM Exceptions. 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) 2026 NVIDIA CORPORATION & AFFILIATES.
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//
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//===----------------------------------------------------------------------===//
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#include <cuda/version>
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#include <algorithm>
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#include <cstddef>
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#include <execution>
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#include <numeric>
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#include <vector>
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// Ensure that we are indeed using the correct CCCL version
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static_assert(CCCL_MAJOR_VERSION == CMAKE_CCCL_VERSION_MAJOR);
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static_assert(CCCL_MINOR_VERSION == CMAKE_CCCL_VERSION_MINOR);
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static_assert(CCCL_PATCH_VERSION == CMAKE_CCCL_VERSION_PATCH);
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int main()
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{
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constexpr std::size_t num_items = 1 << 16;
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std::vector<int> values(num_items);
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const std::vector<int> offsets(num_items, 5);
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std::vector<int> output(num_items, 0);
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std::iota(values.begin(), values.end(), 0);
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constexpr auto double_value = [](const int value) {
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return value * 2;
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};
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constexpr auto add_values = [](const int lhs, const int rhs) {
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return lhs + rhs;
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};
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const auto unary_end =
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std::transform(std::execution::par, values.begin(), values.end(), output.begin(), double_value);
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if (unary_end != output.end())
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{
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return 1;
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}
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for (std::size_t i = 0; i < num_items; ++i)
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{
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if (output[i] != values[i] * 2)
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{
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return 1;
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}
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}
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const auto binary_end =
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std::transform(std::execution::par, values.begin(), values.end(), offsets.begin(), output.begin(), add_values);
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if (binary_end != output.end())
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{
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return 1;
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}
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for (std::size_t i = 0; i < num_items; ++i)
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{
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if (output[i] != values[i] + offsets[i])
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{
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return 1;
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}
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}
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const auto empty_end =
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std::transform(std::execution::par, values.begin(), values.begin(), output.begin(), double_value);
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if (empty_end != output.begin())
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{
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return 1;
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}
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return 0;
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}
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