sglang_v0.5.2/pytorch_2.8.0/third_party/NNPACK/bench/conv1x1.cc

110 lines
2.4 KiB
C++

#include <cmath>
#include <cfloat>
#include <vector>
#include <random>
#include <chrono>
#include <functional>
#include <algorithm>
#include <cpuinfo.h>
#include <nnpack/macros.h>
#include <nnpack/blas.h>
#include <nnpack/AlignedAllocator.h>
#include <benchmark/benchmark.h>
template<uint32_t mr_, uint32_t nr_>
class CONV1x1 : public benchmark::Fixture {
public:
inline CONV1x1() {
cpuinfo_initialize();
const size_t l1d_size = cpuinfo_get_l1d_cache(0)->size;
const size_t l1d_reserve = 512;
kc_ = ((l1d_size - l1d_reserve) / sizeof(float) - mr() * nr()) / (mr() + nr());
}
virtual void SetUp(const benchmark::State&) override {
const uint_fast32_t seed = std::chrono::system_clock::now().time_since_epoch().count();
auto rng = std::bind(std::uniform_real_distribution<float>(), std::mt19937(seed));
i_.resize(mr() * kc());
std::generate(i_.begin(), i_.end(), std::ref(rng));
k_.resize(mr() * kc() + nr());
std::fill(k_.begin(), k_.end(), std::nanf(""));
o_.resize(nr() * kc());
std::generate(o_.begin(), o_.end(), std::ref(rng));
}
virtual void TearDown(benchmark::State& state) override {
state.SetItemsProcessed(uint64_t(state.iterations()) * 2 * mr() * nr() * kc());
i_.clear();
k_.clear();
o_.clear();
}
inline const float* i() const {
return i_.data();
}
inline const float* k() const {
return k_.data();
}
inline float* o() {
return o_.data();
}
inline uint32_t mr() const {
return mr_;
}
inline uint32_t nr() const {
return nr_;
}
inline uint32_t kc() const {
return kc_;
}
private:
std::vector<float> i_;
std::vector<float> k_;
std::vector<float> o_;
uint32_t kc_;
};
#if NNP_BACKEND_X86_64
BENCHMARK_TEMPLATE_F(CONV1x1, fast__neon, 2, 4)(benchmark::State& state) {
for (auto _ : state) {
nnp_conv1x1_only_2x4__fma3(mr(), kc(), i(), k(), o());
}
}
#endif
#if NNP_BACKEND_ARM
BENCHMARK_TEMPLATE_F(CONV1x1, fast__neon, 4, 4)(benchmark::State& state) {
for (auto _ : state) {
nnp_conv1x1_only_4x4__neon(mr(), kc(), i(), k(), o());
}
}
#endif
#if NNP_BACKEND_PSIMD
BENCHMARK_TEMPLATE_F(CONV1x1, psimd, 2, 8)(benchmark::State& state) {
for (auto _ : state) {
nnp_conv1x1_only_2x4__psimd(mr(), kc(), i(), k(), o());
}
}
#endif
#if NNP_BACKEND_SCALAR
BENCHMARK_TEMPLATE_F(CONV1x1, scalar, 2, 4)(benchmark::State& state) {
for (auto _ : state) {
nnp_conv1x1_only_2x4__scalar(mr(), kc(), i(), k(), o());
}
}
#endif
BENCHMARK_MAIN();