/****************************************************************************** * Copyright (c) 2011-2023, NVIDIA CORPORATION. All rights reserved. * Modifications Copyright (c) 2024-2025, Advanced Micro Devices, Inc. All rights reserved. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions are met: * * Redistributions of source code must retain the above copyright * notice, this list of conditions and the following disclaimer. * * Redistributions in binary form must reproduce the above copyright * notice, this list of conditions and the following disclaimer in the * documentation and/or other materials provided with the distribution. * * Neither the name of the NVIDIA CORPORATION nor the * names of its contributors may be used to endorse or promote products * derived from this software without specific prior written permission. * * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE * DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE FOR ANY * DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND * ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * ******************************************************************************/ // Benchmark utils #include "../../bench_utils/bench_utils.hpp" // rocThrust #include #include #include // Google Benchmark #include // STL #include #include #include template struct custom_op { T val; custom_op() = delete; explicit custom_op(T val) : val(val) {} __device__ T operator()(const T& lhs, const T& rhs) { return lhs * rhs + val; // Hope to gen mad } }; template struct custom { template float64_t run(thrust::device_vector& input, thrust::device_vector& output, Policy policy) { thrust::adjacent_difference(policy, input.cbegin(), input.cend(), output.begin(), custom_op{Val}); bench_utils::gpu_timer d_timer; d_timer.start(0); thrust::adjacent_difference(policy, input.cbegin(), input.cend(), output.begin(), custom_op{Val}); d_timer.stop(0); return d_timer.get_duration(); } }; template void run_benchmark(benchmark::State& state, const std::size_t elements, const std::string seed_type) { // Benchmark object Benchmark benchmark{}; // GPU times std::vector gpu_times; // Generate input thrust::device_vector input = bench_utils::generate(elements, seed_type); // Output thrust::device_vector output(elements); bench_utils::caching_allocator_t alloc{}; thrust::detail::device_t policy{}; for (auto _ : state) { float64_t duration = benchmark.template run(input, output, policy(alloc)); state.SetIterationTime(duration); gpu_times.push_back(duration); } // BytesProcessed include read and written bytes, so when the BytesProcessed/s are reported // it will actually be the global memory bandwidth gotten. state.SetBytesProcessed(state.iterations() * 2 * elements * sizeof(T)); state.SetItemsProcessed(state.iterations() * elements); const double gpu_cv = bench_utils::StatisticsCV(gpu_times); state.counters["gpu_noise"] = gpu_cv; } #define CREATE_BENCHMARK(T, Elements) \ benchmark::RegisterBenchmark( \ bench_utils::bench_naming::format_name("{algo:adjacent_difference,subalgo:" + name + ",input_type:" #T \ + ",elements:" + bench_utils::format_pow2(Elements)) \ .c_str(), \ run_benchmark, T>, \ Elements, \ seed_type) #define BENCHMARK_TYPE(type) \ for (size_t size : bench_utils::sizes) \ { \ if (sizeof(type) * size <= bench_utils::system.devProp.totalGlobalMem) \ bs.push_back(CREATE_BENCHMARK(type, size)); \ } template