198 lines
No EOL
6.4 KiB
C++
198 lines
No EOL
6.4 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 <benchmark/benchmark.h>
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#include <absl/types/span.h>
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#include <random>
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#include <algorithm>
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#if HAVE_X86INTRIN_H
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#include <x86intrin.h>
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#endif
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#if HAVE_INTRIN_H
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#include <intrin.h>
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#endif
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constexpr float filterGain { 0.25f };
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void lowpass(absl::Span<const float> input, absl::Span<float> lowpass, float gain)
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{
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float state = 0.0f;
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float intermediate;
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const auto G = gain / (1 - gain);
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for (auto [in, out] = std::make_pair(input.begin(), lowpass.begin());
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in < input.end() && out < lowpass.end();
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in++, out++)
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{
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intermediate = G * (*in - state);
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*out = intermediate + state;
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state = *out + intermediate;
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}
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}
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void highpass(absl::Span<const float> input, absl::Span<float> highpass, float gain)
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{
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float state = 0.0f;
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float intermediate;
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const auto G = gain / (1 - gain);
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for (auto [in, out] = std::make_pair(input.begin(), highpass.begin());
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in < input.end() && out < highpass.end();
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in++, out++)
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{
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intermediate = G * (*in - state);
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*out = *in - intermediate - state;
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state += 2*intermediate;
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}
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}
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void highpass_foreach(absl::Span<const float> input, absl::Span<float> highpass, float gain)
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{
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lowpass(input, highpass, gain);
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for (auto [in, out] = std::make_pair(input.begin(), highpass.begin());
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in < input.end() && out < highpass.end();
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in++, out++)
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*out = *in - *out;
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}
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void highpass_raw(absl::Span<const float> input, absl::Span<float> highpass, float gain)
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{
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lowpass(input, highpass, gain);
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auto in = input.data();
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auto out = highpass.data();
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while (in < input.end() && out < highpass.end())
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{
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*out = *in - *out;
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out++;
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in++;
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}
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}
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void highpass_sse(absl::Span<const float> input, absl::Span<float> highpass, float gain)
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{
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lowpass(input, highpass, gain);
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auto in = input.data();
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auto out = highpass.data();
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constexpr int FloatAlignment { 4 };
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const auto inputAlignedEnd = input.data() + (input.size() - (input.size() & (FloatAlignment - 1)));
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const auto outputAlignedEnd = highpass.data() + (highpass.size() - (highpass.size() & (FloatAlignment - 1)));
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while (in < inputAlignedEnd && out < outputAlignedEnd)
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{
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const auto inputRegister = _mm_loadu_ps(in);
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auto outputRegister = _mm_loadu_ps(out);
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outputRegister = _mm_sub_ps(inputRegister, outputRegister);
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_mm_storeu_ps(out, outputRegister);
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in += 4;
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out += 4;
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}
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while (in < input.end() && out < highpass.end())
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{
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*out = *in - *out;
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out++;
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in++;
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}
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}
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static void Low(benchmark::State& state) {
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std::vector<float> input(state.range(0));
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std::vector<float> output(state.range(0));
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std::random_device rd { };
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std::mt19937 gen { rd() };
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std::normal_distribution<float> dist { };
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std::generate(input.begin(), input.end(), [&]() {
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return dist(gen);
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});
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for (auto _ : state)
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lowpass(input, absl::MakeSpan(output), filterGain);
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}
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static void High(benchmark::State& state) {
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std::vector<float> input(state.range(0));
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std::vector<float> output(state.range(0));
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std::random_device rd { };
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std::mt19937 gen { rd() };
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std::normal_distribution<float> dist { };
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std::generate(input.begin(), input.end(), [&]() {
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return dist(gen);
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});
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for (auto _ : state)
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highpass(input, absl::MakeSpan(output), filterGain);
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}
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static void High_ForEach(benchmark::State& state) {
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std::vector<float> input(state.range(0));
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std::vector<float> output(state.range(0));
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std::random_device rd { };
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std::mt19937 gen { rd() };
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std::normal_distribution<float> dist { };
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std::generate(input.begin(), input.end(), [&]() {
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return dist(gen);
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});
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for (auto _ : state)
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highpass_foreach(input, absl::MakeSpan(output), filterGain);
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}
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static void High_Raw(benchmark::State& state) {
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std::vector<float> input(state.range(0));
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std::vector<float> output(state.range(0));
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std::random_device rd { };
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std::mt19937 gen { rd() };
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std::normal_distribution<float> dist { };
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std::generate(input.begin(), input.end(), [&]() {
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return dist(gen);
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});
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for (auto _ : state)
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highpass_raw(input, absl::MakeSpan(output), filterGain);
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}
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static void High_SSE(benchmark::State& state) {
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std::vector<float> input(state.range(0));
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std::vector<float> output(state.range(0));
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std::random_device rd { };
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std::mt19937 gen { rd() };
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std::normal_distribution<float> dist { };
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std::generate(input.begin(), input.end(), [&]() {
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return dist(gen);
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});
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for (auto _ : state)
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highpass_sse(input, absl::MakeSpan(output), filterGain);
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}
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BENCHMARK(Low)->RangeMultiplier(2)->Range((2<<5), (2<<10));
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BENCHMARK(High)->RangeMultiplier(2)->Range((2<<5), (2<<10));
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BENCHMARK(High_ForEach)->RangeMultiplier(2)->Range((2<<5), (2<<10));
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BENCHMARK(High_Raw)->RangeMultiplier(2)->Range((2<<5), (2<<10));
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BENCHMARK(High_SSE)->RangeMultiplier(2)->Range((2<<5), (2<<10));
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BENCHMARK_MAIN(); |