sglang_v0.5.2/pytorch_2.8.0/third_party/XNNPACK/bench/f32-vcmul.cc

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3.0 KiB
C++

// Copyright 2023 Google LLC
//
// This source code is licensed under the BSD-style license found in the
// LICENSE file in the root directory of this source tree.
#include <algorithm>
#include <cmath>
#include <complex>
#include <functional>
#include <random>
#include <vector>
#include "utils.h"
#include "xnnpack.h"
#include "xnnpack/common.h"
#include "xnnpack/hardware-config.h"
#include "xnnpack/microfnptr.h"
#include "xnnpack/microparams-init.h"
#include "xnnpack/vbinary.h"
#include "xnnpack/buffer.h"
#include <benchmark/benchmark.h>
static void f32_vcmul(benchmark::State& state, uint64_t arch_flags,
xnn_f32_vbinary_ukernel_fn vcmul,
xnn_init_f32_default_params_fn init_params = nullptr,
benchmark::utils::IsaCheckFunction isa_check = nullptr) {
if (!benchmark::utils::CheckArchFlags(state, arch_flags)) {
return;
}
const size_t num_elements = state.range(0);
std::random_device random_device;
auto rng = std::mt19937(random_device());
auto f32rng = std::bind(std::uniform_real_distribution<float>(-1.0f, 1.0f), std::ref(rng));
xnnpack::Buffer<float, XNN_ALLOCATION_ALIGNMENT> a(num_elements * 2 +
XNN_EXTRA_BYTES / sizeof(float));
xnnpack::Buffer<float, XNN_ALLOCATION_ALIGNMENT> b(num_elements * 2 +
XNN_EXTRA_BYTES / sizeof(float));
xnnpack::Buffer<float, XNN_ALLOCATION_ALIGNMENT> product(num_elements * 2);
std::generate(a.begin(), a.end(), std::ref(f32rng));
std::generate(b.begin(), b.end(), std::ref(f32rng));
struct xnn_f32_default_params params;
if (init_params != nullptr) {
init_params(&params);
}
for (auto _ : state) {
vcmul(num_elements * sizeof(float), a.data(), b.data(), product.data(), init_params == nullptr ? nullptr : &params);
}
const uint64_t cpu_frequency = benchmark::utils::GetCurrentCpuFrequency();
if (cpu_frequency != 0) {
state.counters["cpufreq"] = cpu_frequency;
}
const size_t num_elements_per_iteration = num_elements;
state.counters["num_elements"] =
benchmark::Counter(uint64_t(state.iterations()) * num_elements_per_iteration, benchmark::Counter::kIsRate);
const size_t bytes_per_iteration = 3 * num_elements * sizeof(std::complex<float>);
state.counters["bytes"] =
benchmark::Counter(uint64_t(state.iterations()) * bytes_per_iteration, benchmark::Counter::kIsRate);
}
#define XNN_UKERNEL_WITH_PARAMS(arch_flags, ukernel, batch_tile, vector_tile, \
datatype, params_type, init_params) \
BENCHMARK_CAPTURE(f32_vcmul, ukernel, arch_flags, ukernel, init_params) \
->Apply( \
benchmark::utils::BinaryElementwiseParameters<std::complex<float>, \
std::complex<float>>) \
->UseRealTime();
#include "f32-vbinary/f32-vcmul.h"
#undef XNN_UKERNEL_WITH_PARAMS
#ifndef XNNPACK_BENCHMARK_NO_MAIN
BENCHMARK_MAIN();
#endif