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

132 lines
5.3 KiB
C++

#include <algorithm>
#include <cfloat>
#include <chrono>
#include <cmath>
#include <functional>
#include <random>
#include <vector>
#include "utils.h"
#include "xnnpack.h"
#include "xnnpack/common.h"
#include "xnnpack/microfnptr.h"
#include "xnnpack/raddexpminusmax.h"
#include "xnnpack/reduce.h"
#include "xnnpack/vscaleexpminusmax.h"
#include "xnnpack/buffer.h"
#include <benchmark/benchmark.h>
static void f32_vscaleexpminusmax(
benchmark::State& state,
xnn_f32_rmax_ukernel_fn rmax,
xnn_f32_raddexpminusmax_ukernel_fn raddexpminusmax,
xnn_f32_vscaleexpminusmax_ukernel_fn vscaleexpminusmax,
benchmark::utils::IsaCheckFunction isa_check = nullptr)
{
if (isa_check != nullptr && !isa_check(state)) {
return;
}
const size_t elements = state.range(0);
const size_t cache_line_size_max = 128;
const size_t packed_elements = benchmark::utils::RoundUp(elements, 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), std::ref(rng));
const size_t num_buffers = 1 +
benchmark::utils::DivideRoundUp<size_t>(benchmark::utils::GetMaxCacheSize(), packed_elements * sizeof(float));
xnnpack::Buffer<float, XNN_ALLOCATION_ALIGNMENT> x(elements);
xnnpack::Buffer<float, XNN_ALLOCATION_ALIGNMENT> y(packed_elements * num_buffers);
std::generate(x.begin(), x.end(), std::ref(f32rng));
benchmark::utils::DisableDenormals();
size_t buffer_index = 0;
for (auto _ : state) {
state.PauseTiming();
float x_max;
rmax(elements * sizeof(float), x.data(), &x_max, /*params=*/nullptr);
float y_sum;
raddexpminusmax(elements * sizeof(float), x.data(), &y_sum, x_max);
if (++buffer_index == num_buffers) {
buffer_index = 0;
}
state.ResumeTiming();
vscaleexpminusmax(elements * sizeof(float), x.data(), y.data() + packed_elements * buffer_index, x_max, 1.0f / y_sum);
}
const uint64_t cpu_frequency = benchmark::utils::GetCurrentCpuFrequency();
if (cpu_frequency != 0) {
state.counters["cpufreq"] = cpu_frequency;
}
const size_t elements_per_iteration = elements;
state.counters["elements"] =
benchmark::Counter(uint64_t(state.iterations()) * elements_per_iteration, benchmark::Counter::kIsRate);
const size_t bytes_per_iteration = 2 * elements * sizeof(float);
state.counters["bytes"] =
benchmark::Counter(uint64_t(state.iterations()) * bytes_per_iteration, benchmark::Counter::kIsRate);
}
static void CharacteristicArguments(benchmark::internal::Benchmark* b) {
b->ArgName("N");
for (int32_t n = 10000; n <= 100000000; n *= 10) {
b->Arg(n);
}
}
#if XNN_ENABLE_AVX512F && (XNN_ARCH_X86 || XNN_ARCH_X86_64)
BENCHMARK_CAPTURE(f32_vscaleexpminusmax, avx512f_p5_scalef_u16,
xnn_f32_rmax_ukernel__avx512f_u64_acc4,
xnn_f32_raddexpminusmax_ukernel__avx512f_p5_scalef_u128_acc2,
xnn_f32_vscaleexpminusmax_ukernel__avx512f_p5_scalef_u16,
benchmark::utils::CheckAVX512F)->Apply(CharacteristicArguments)->UseRealTime();
BENCHMARK_CAPTURE(f32_vscaleexpminusmax, avx512f_p5_scalef_u32,
xnn_f32_rmax_ukernel__avx512f_u64_acc4,
xnn_f32_raddexpminusmax_ukernel__avx512f_p5_scalef_u128_acc2,
xnn_f32_vscaleexpminusmax_ukernel__avx512f_p5_scalef_u32,
benchmark::utils::CheckAVX512F)->Apply(CharacteristicArguments)->UseRealTime();
BENCHMARK_CAPTURE(f32_vscaleexpminusmax, avx512f_p5_scalef_u48,
xnn_f32_rmax_ukernel__avx512f_u64_acc4,
xnn_f32_raddexpminusmax_ukernel__avx512f_p5_scalef_u128_acc2,
xnn_f32_vscaleexpminusmax_ukernel__avx512f_p5_scalef_u48,
benchmark::utils::CheckAVX512F)->Apply(CharacteristicArguments)->UseRealTime();
BENCHMARK_CAPTURE(f32_vscaleexpminusmax, avx512f_p5_scalef_u64,
xnn_f32_rmax_ukernel__avx512f_u64_acc4,
xnn_f32_raddexpminusmax_ukernel__avx512f_p5_scalef_u128_acc2,
xnn_f32_vscaleexpminusmax_ukernel__avx512f_p5_scalef_u64,
benchmark::utils::CheckAVX512F)->Apply(CharacteristicArguments)->UseRealTime();
#endif // XNN_ENABLE_AVX512F && (XNN_ARCH_X86 || XNN_ARCH_X86_64)
#if XNN_ARCH_X86 || XNN_ARCH_X86_64
BENCHMARK_CAPTURE(f32_vscaleexpminusmax, avx2_p5_u8,
xnn_f32_rmax_ukernel__avx_u32_acc4,
xnn_f32_raddexpminusmax_ukernel__avx2_p5_u80_acc2,
xnn_f32_vscaleexpminusmax_ukernel__avx2_p5_u8,
benchmark::utils::CheckAVX2)->Apply(CharacteristicArguments)->UseRealTime();
BENCHMARK_CAPTURE(f32_vscaleexpminusmax, avx2_p5_u16,
xnn_f32_rmax_ukernel__avx_u32_acc4,
xnn_f32_raddexpminusmax_ukernel__avx2_p5_u80_acc2,
xnn_f32_vscaleexpminusmax_ukernel__avx2_p5_u16,
benchmark::utils::CheckAVX2)->Apply(CharacteristicArguments)->UseRealTime();
BENCHMARK_CAPTURE(f32_vscaleexpminusmax, avx2_p5_u24,
xnn_f32_rmax_ukernel__avx_u32_acc4,
xnn_f32_raddexpminusmax_ukernel__avx2_p5_u80_acc2,
xnn_f32_vscaleexpminusmax_ukernel__avx2_p5_u24,
benchmark::utils::CheckAVX2)->Apply(CharacteristicArguments)->UseRealTime();
BENCHMARK_CAPTURE(f32_vscaleexpminusmax, avx2_p5_u32,
xnn_f32_rmax_ukernel__avx_u32_acc4,
xnn_f32_raddexpminusmax_ukernel__avx2_p5_u80_acc2,
xnn_f32_vscaleexpminusmax_ukernel__avx2_p5_u32,
benchmark::utils::CheckAVX2)->Apply(CharacteristicArguments)->UseRealTime();
#endif // XNN_ARCH_X86 || XNN_ARCH_X86_64
#ifndef XNNPACK_BENCHMARK_NO_MAIN
BENCHMARK_MAIN();
#endif