blob: 9797ceb9c8ab24edd7abaddb644312b53df75641 [file] [log] [blame]
#include <algorithm>
#include <cfloat>
#include <chrono>
#include <cmath>
#include <functional>
#include <random>
#include <vector>
#include "bench/utils.h"
#include <xnnpack/common.h>
#include <xnnpack/params.h>
#include <xnnpack/raddexpminusmax.h>
#include <xnnpack/raddextexp.h>
#include <xnnpack/raddstoreexpminusmax.h>
#include <xnnpack/rmax.h>
#include <xnnpack/vscale.h>
#include <xnnpack/vscaleexpminusmax.h>
#include <xnnpack/vscaleextexp.h>
#include <benchmark/benchmark.h>
static void ThreePassSoftArgMaxWithRecomputing(
benchmark::State& state,
xnn_f32_rmax_ukernel_function rmax,
xnn_f32_raddexpminusmax_ukernel_function raddexpminusmax,
xnn_f32_vscaleexpminusmax_ukernel_function vscaleexpminusmax)
{
const size_t n = state.range(0);
const size_t cache_line_size_max = 128;
const size_t packed_n = benchmark::utils::RoundUp(n, cache_line_size_max / sizeof(float));
std::random_device random_device;
auto rng = std::mt19937(random_device());
auto f32rng = std::bind(std::uniform_real_distribution<float>(-1000.0f, 1000.0f), rng);
const size_t num_buffers = 1 +
benchmark::utils::DivideRoundUp<size_t>(benchmark::utils::GetMaxCacheSize(), packed_n * sizeof(float));
std::vector<float> x(n);
std::vector<float> y(packed_n * num_buffers);
std::generate(x.begin(), x.end(), std::ref(f32rng));
benchmark::utils::DisableDenormals();
size_t buffer_index = 0;
for (auto _ : state) {
benchmark::utils::PrefetchToL1(x.data(), x.size() * sizeof(float));
if (++buffer_index == num_buffers) {
buffer_index = 0;
}
const auto start = std::chrono::high_resolution_clock::now();
float x_max = nanf("");
rmax(n * sizeof(float), x.data(), &x_max);
float y_sum = nanf("");
raddexpminusmax(n * sizeof(float), x.data(), &y_sum, x_max);
vscaleexpminusmax(n * sizeof(float), x.data(), y.data() + packed_n * buffer_index, x_max, 1.0f / y_sum);
const auto end = std::chrono::high_resolution_clock::now();
const auto elapsed_seconds =
std::chrono::duration_cast<std::chrono::duration<double>>(end - start);
state.SetIterationTime(elapsed_seconds.count());
}
state.counters["Freq"] = benchmark::utils::GetCurrentCpuFrequency();
state.counters["elements"] =
benchmark::Counter(uint64_t(state.iterations()) * n, benchmark::Counter::kIsRate);
state.counters["bytes"] =
benchmark::Counter(uint64_t(state.iterations()) * 2 * sizeof(float) * n, benchmark::Counter::kIsRate);
}
static void ThreePassSoftArgMaxWithReloading(
benchmark::State& state,
xnn_f32_rmax_ukernel_function rmax,
xnn_f32_raddstoreexpminusmax_ukernel_function raddstoreexpminusmax,
xnn_f32_vscale_ukernel_function vscale)
{
const size_t n = state.range(0);
const size_t cache_line_size_max = 128;
const size_t packed_n = benchmark::utils::RoundUp(n, cache_line_size_max / sizeof(float));
std::random_device random_device;
auto rng = std::mt19937(random_device());
auto f32rng = std::bind(std::uniform_real_distribution<float>(-1000.0f, 1000.0f), rng);
const size_t num_buffers = 1 +
benchmark::utils::DivideRoundUp<size_t>(benchmark::utils::GetMaxCacheSize(), packed_n * sizeof(float));
std::vector<float> x(n);
std::vector<float> y(packed_n * num_buffers);
std::generate(x.begin(), x.end(), std::ref(f32rng));
benchmark::utils::DisableDenormals();
size_t buffer_index = 0;
for (auto _ : state) {
benchmark::utils::PrefetchToL1(x.data(), x.size() * sizeof(float));
if (++buffer_index == num_buffers) {
buffer_index = 0;
}
const auto start = std::chrono::high_resolution_clock::now();
float x_max = nanf("");
rmax(n * sizeof(float), x.data(), &x_max);
float y_sum = nanf("");
raddstoreexpminusmax(n * sizeof(float), x.data(), y.data() + packed_n * buffer_index, &y_sum, x_max);
vscale(n * sizeof(float), y.data() + packed_n * buffer_index, y.data() + packed_n * buffer_index, 1.0f / y_sum);
const auto end = std::chrono::high_resolution_clock::now();
const auto elapsed_seconds =
std::chrono::duration_cast<std::chrono::duration<double>>(end - start);
state.SetIterationTime(elapsed_seconds.count());
}
state.counters["Freq"] = benchmark::utils::GetCurrentCpuFrequency();
state.counters["elements"] =
benchmark::Counter(uint64_t(state.iterations()) * n, benchmark::Counter::kIsRate);
state.counters["bytes"] =
benchmark::Counter(uint64_t(state.iterations()) * 2 * sizeof(float) * n, benchmark::Counter::kIsRate);
}
static void TwoPassSoftArgMax(
benchmark::State& state,
xnn_f32_raddextexp_ukernel_function raddextexp,
xnn_f32_vscaleextexp_ukernel_function vscaleextexp)
{
const size_t n = state.range(0);
const size_t cache_line_size_max = 128;
const size_t packed_n = benchmark::utils::RoundUp(n, cache_line_size_max / sizeof(float));
std::random_device random_device;
auto rng = std::mt19937(random_device());
auto f32rng = std::bind(std::uniform_real_distribution<float>(-1000.0f, 1000.0f), rng);
const size_t num_buffers = 1 +
benchmark::utils::DivideRoundUp<size_t>(benchmark::utils::GetMaxCacheSize(), packed_n * sizeof(float));
std::vector<float> x(n);
std::vector<float> y(packed_n * num_buffers);
std::generate(x.begin(), x.end(), std::ref(f32rng));
benchmark::utils::DisableDenormals();
size_t buffer_index = 0;
for (auto _ : state) {
benchmark::utils::PrefetchToL1(x.data(), x.size() * sizeof(float));
if (++buffer_index == num_buffers) {
buffer_index = 0;
}
const auto start = std::chrono::high_resolution_clock::now();
float scale[2];
raddextexp(n * sizeof(float), x.data(), scale);
vscaleextexp(n * sizeof(float), x.data(), y.data() + packed_n * buffer_index, 1.0f / scale[0], -scale[1]);
const auto end = std::chrono::high_resolution_clock::now();
const auto elapsed_seconds =
std::chrono::duration_cast<std::chrono::duration<double>>(end - start);
state.SetIterationTime(elapsed_seconds.count());
}
state.counters["Freq"] = benchmark::utils::GetCurrentCpuFrequency();
state.counters["elements"] =
benchmark::Counter(uint64_t(state.iterations()) * n, benchmark::Counter::kIsRate);
state.counters["bytes"] =
benchmark::Counter(uint64_t(state.iterations()) * 2 * sizeof(float) * n, benchmark::Counter::kIsRate);
}
static void CharacteristicArguments(benchmark::internal::Benchmark* b) {
for (int32_t n = 1000; n <= 10000000; n *= 10) {
b->Arg(n);
b->Arg(3 * n);
}
}
#if XNN_ARCH_X86 || XNN_ARCH_X86_64
BENCHMARK_CAPTURE(TwoPassSoftArgMax, avx512f_p5_scalef_unroll128,
xnn_f32_raddextexp_ukernel__avx512f_p5_scalef_unroll128, xnn_f32_vscaleextexp_ukernel__avx512f_p5_scalef_unroll128)
->Apply(CharacteristicArguments)->UseManualTime();
BENCHMARK_CAPTURE(ThreePassSoftArgMaxWithRecomputing, avx512f_p5_scalef_unroll128,
xnn_f32_rmax_ukernel__avx512f, xnn_f32_raddexpminusmax_ukernel__avx512f_p5_scalef_unroll128, xnn_f32_vscaleexpminusmax_ukernel__avx512f_p5_scalef_unroll128)
->Apply(CharacteristicArguments)->UseManualTime();
BENCHMARK_CAPTURE(ThreePassSoftArgMaxWithReloading, avx512f_p5_scalef_unroll128,
xnn_f32_rmax_ukernel__avx512f, xnn_f32_raddstoreexpminusmax_ukernel__avx512f_p5_scalef_unroll128, xnn_f32_vscale_ukernel__avx512f_unroll64)
->Apply(CharacteristicArguments)->UseManualTime();
BENCHMARK_CAPTURE(TwoPassSoftArgMax, avx2_p5_unroll64,
xnn_f32_raddextexp_ukernel__avx2_p5_unroll64, xnn_f32_vscaleextexp_ukernel__avx2_p5_unroll64)
->Apply(CharacteristicArguments)->UseManualTime();
BENCHMARK_CAPTURE(ThreePassSoftArgMaxWithRecomputing, avx2_p5_unroll64,
xnn_f32_rmax_ukernel__avx, xnn_f32_raddexpminusmax_ukernel__avx2_p5_unroll64, xnn_f32_vscaleexpminusmax_ukernel__avx2_p5_unroll64)
->Apply(CharacteristicArguments)->UseManualTime();
BENCHMARK_CAPTURE(ThreePassSoftArgMaxWithReloading, avx2_p5_unroll64,
xnn_f32_rmax_ukernel__avx, xnn_f32_raddstoreexpminusmax_ukernel__avx2_p5_unroll64, xnn_f32_vscale_ukernel__avx_unroll32)
->Apply(CharacteristicArguments)->UseManualTime();
#endif // XNN_ARCH_X86 || XNN_ARCH_X86_64
#ifndef XNNPACK_BENCHMARK_NO_MAIN
BENCHMARK_MAIN();
#endif