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101 lines
2.9 KiB
101 lines
2.9 KiB
// Copyright 2020 Google LLC
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//
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// This source code is licensed under the BSD-style license found in the
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// LICENSE file in the root directory of this source tree.
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#include <algorithm>
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#include <cmath>
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#include <functional>
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#include <limits>
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#include <random>
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#include <vector>
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#include <xnnpack.h>
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#include <benchmark/benchmark.h>
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#include "bench/utils.h"
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static void xnnpack_truncation_f32(benchmark::State& state) {
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const size_t batch_size = state.range(0);
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const size_t channels = state.range(1);
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std::random_device random_device;
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auto rng = std::mt19937(random_device());
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auto f32rng = std::bind(std::uniform_real_distribution<float>(-10.0f, 10.0f), std::ref(rng));
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std::vector<float> input(batch_size * channels);
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std::vector<float> output(batch_size * channels);
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std::generate(input.begin(), input.end(), std::ref(f32rng));
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std::fill(output.begin(), output.end(), std::nanf(""));
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xnn_status status = xnn_initialize(nullptr /* allocator */);
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if (status != xnn_status_success) {
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state.SkipWithError("failed to initialize XNNPACK");
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return;
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}
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xnn_operator_t truncation_op = nullptr;
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status = xnn_create_truncation_nc_f32(
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channels, channels /* input stride */, channels /* output stride */,
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0 /* flags */, &truncation_op);
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if (status != xnn_status_success || truncation_op == nullptr) {
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state.SkipWithError("failed to create Truncation operator");
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return;
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}
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status = xnn_setup_truncation_nc_f32(
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truncation_op,
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batch_size,
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input.data(), output.data(),
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nullptr /* thread pool */);
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if (status != xnn_status_success) {
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state.SkipWithError("failed to setup Truncation operator");
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return;
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}
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for (auto _ : state) {
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status = xnn_run_operator(truncation_op, nullptr /* thread pool */);
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if (status != xnn_status_success) {
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state.SkipWithError("failed to run Truncation operator");
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return;
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}
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}
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status = xnn_delete_operator(truncation_op);
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if (status != xnn_status_success) {
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state.SkipWithError("failed to delete Truncation operator");
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return;
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}
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const uint64_t cpu_frequency = benchmark::utils::GetCurrentCpuFrequency();
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if (cpu_frequency != 0) {
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state.counters["cpufreq"] = cpu_frequency;
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}
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const size_t elements_per_iteration = batch_size * channels;
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state.counters["elements"] =
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benchmark::Counter(uint64_t(state.iterations()) * elements_per_iteration, benchmark::Counter::kIsRate);
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const size_t bytes_per_iteration = 2 * elements_per_iteration * sizeof(float);
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state.counters["bytes"] =
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benchmark::Counter(uint64_t(state.iterations()) * bytes_per_iteration, benchmark::Counter::kIsRate);
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}
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static void CharacteristicArguments(benchmark::internal::Benchmark* b)
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{
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b->ArgNames({"N", "C"});
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int32_t c = 16;
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for (int32_t n = 224; n >= 7; n /= 2) {
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b->Args({n * n, c});
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c *= 2;
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}
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}
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BENCHMARK(xnnpack_truncation_f32)->Apply(CharacteristicArguments)->UseRealTime();
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#ifndef XNNPACK_BENCHMARK_NO_MAIN
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BENCHMARK_MAIN();
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#endif
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