90 lines
No EOL
3.2 KiB
C++
90 lines
No EOL
3.2 KiB
C++
// Copyright (c) 2019, Paul Ferrand
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// All rights reserved.
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// Redistribution and use in source and binary forms, with or without
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// modification, are permitted provided that the following conditions are met:
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// 1. Redistributions of source code must retain the above copyright notice, this
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// list of conditions and the following disclaimer.
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// 2. Redistributions in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
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// ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
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// WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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// DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
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// ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
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// (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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// LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
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// ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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// (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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// SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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#include "SIMDHelpers.h"
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#include <benchmark/benchmark.h>
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#include <cmath>
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#include <iostream>
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#include <numeric>
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#include <random>
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#include <vector>
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class MeanSquaredArray : public benchmark::Fixture {
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public:
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void SetUp(const ::benchmark::State& state)
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{
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std::random_device rd {};
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std::mt19937 gen { rd() };
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std::uniform_real_distribution<float> dist { 0, 1 };
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input = std::vector<float>(state.range(0));
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std::generate(input.begin(), input.end(), [&]() { return dist(gen); });
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}
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void TearDown(const ::benchmark::State& state [[maybe_unused]])
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{
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}
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std::vector<float> input;
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};
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BENCHMARK_DEFINE_F(MeanSquaredArray, Scalar)
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(benchmark::State& state)
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{
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for (auto _ : state) {
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auto result = sfz::meanSquared<float, false>(input);
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benchmark::DoNotOptimize(result);
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}
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}
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BENCHMARK_DEFINE_F(MeanSquaredArray, SIMD)
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(benchmark::State& state)
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{
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for (auto _ : state) {
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auto result = sfz::meanSquared<float, true>(input);
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benchmark::DoNotOptimize(result);
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}
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}
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BENCHMARK_DEFINE_F(MeanSquaredArray, Scalar_Unaligned)
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(benchmark::State& state)
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{
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for (auto _ : state) {
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auto result = sfz::meanSquared<float, false>(absl::MakeSpan(input).subspan(1));
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benchmark::DoNotOptimize(result);
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}
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}
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BENCHMARK_DEFINE_F(MeanSquaredArray, SIMD_Unaligned)
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(benchmark::State& state)
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{
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for (auto _ : state) {
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auto result = sfz::meanSquared<float, true>(absl::MakeSpan(input).subspan(1));
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benchmark::DoNotOptimize(result);
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}
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}
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BENCHMARK_REGISTER_F(MeanSquaredArray, Scalar)->RangeMultiplier(4)->Range(1 << 2, 1 << 12);
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BENCHMARK_REGISTER_F(MeanSquaredArray, SIMD)->RangeMultiplier(4)->Range(1 << 2, 1 << 12);
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BENCHMARK_REGISTER_F(MeanSquaredArray, Scalar_Unaligned)->RangeMultiplier(4)->Range(1 << 2, 1 << 12);
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BENCHMARK_REGISTER_F(MeanSquaredArray, SIMD_Unaligned)->RangeMultiplier(4)->Range(1 << 2, 1 << 12);
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BENCHMARK_MAIN(); |