You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
997 lines
47 KiB
997 lines
47 KiB
// Copyright (c) Facebook, Inc. and its affiliates.
|
|
// All rights reserved.
|
|
//
|
|
// Copyright 2019 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 <cfloat>
|
|
#include <chrono>
|
|
#include <cmath>
|
|
#include <functional>
|
|
#include <mutex>
|
|
#include <random>
|
|
#include <vector>
|
|
|
|
#include <benchmark/benchmark.h>
|
|
#ifdef BENCHMARK_RUY
|
|
#include "ruy/ruy.h"
|
|
#endif // BENCHMARK_RUY
|
|
#include "bench/gemm.h"
|
|
#include "bench/utils.h"
|
|
#include <xnnpack/AlignedAllocator.h>
|
|
#include <xnnpack/common.h>
|
|
#include <xnnpack/gemm.h>
|
|
#include <xnnpack/pack.h>
|
|
#include <xnnpack/packx.h>
|
|
#include <xnnpack/params-init.h>
|
|
#include <xnnpack/params.h>
|
|
#include <xnnpack/ppmm.h>
|
|
|
|
|
|
static void GEMMBenchmark(benchmark::State& state,
|
|
xnn_f32_gemm_minmax_ukernel_function gemm,
|
|
size_t mr, size_t nr, size_t kr, size_t sr,
|
|
benchmark::utils::IsaCheckFunction isa_check = nullptr)
|
|
{
|
|
if (isa_check && !isa_check(state)) {
|
|
return;
|
|
}
|
|
|
|
const size_t mc = state.range(0);
|
|
const size_t nc = state.range(1);
|
|
const size_t kc = state.range(2);
|
|
|
|
const size_t nc_stride = benchmark::utils::RoundUp(nc, nr);
|
|
const size_t kc_stride = benchmark::utils::RoundUp(kc, kr);
|
|
|
|
std::random_device random_device;
|
|
auto rng = std::mt19937(random_device());
|
|
auto f32rng = std::bind(std::uniform_real_distribution<float>(), std::ref(rng));
|
|
|
|
std::vector<float> a(mc * kc);
|
|
std::generate(a.begin(), a.end(), std::ref(f32rng));
|
|
std::vector<float> k(nc * kc);
|
|
std::generate(k.begin(), k.end(), std::ref(f32rng));
|
|
std::vector<float> b(nc);
|
|
std::generate(b.begin(), b.end(), std::ref(f32rng));
|
|
|
|
const size_t w_elements = nc_stride * kc_stride + nc_stride;
|
|
const size_t c_elements = mc * nc;
|
|
const size_t num_buffers = 1 +
|
|
benchmark::utils::DivideRoundUp<size_t>(benchmark::utils::GetMaxCacheSize(),
|
|
sizeof(float) * (w_elements + c_elements));
|
|
|
|
std::vector<float, AlignedAllocator<float, 32>> w(w_elements * num_buffers);
|
|
std::fill(w.begin(), w.end(), 0.0f);
|
|
xnn_pack_f32_gemm_goi_w(1 /* groups */, nc, kc, nr, kr, sr, k.data(), b.data(), w.data(), nullptr);
|
|
std::vector<float> c(c_elements * num_buffers);
|
|
std::fill(c.begin(), c.end(), std::nanf(""));
|
|
|
|
xnn_f32_minmax_params params =
|
|
xnn_init_f32_minmax_params(-std::numeric_limits<float>::infinity(), +std::numeric_limits<float>::infinity());
|
|
|
|
size_t buffer_index = 0;
|
|
for (auto _ : state) {
|
|
// Use circular buffers (exceeding cache size) and prefetch to control cache state:
|
|
// - A is always in L1 cache (if fits, otherwise L2, L3, etc)
|
|
// - W is not in cache (for any cache level)
|
|
// - C is not in cache (for any cache level)
|
|
state.PauseTiming();
|
|
benchmark::utils::PrefetchToL1(a.data(), a.size() * sizeof(float));
|
|
buffer_index = (buffer_index + 1) % num_buffers;
|
|
state.ResumeTiming();
|
|
|
|
for (uint32_t m = 0; m < mc; m += mr) {
|
|
const uint32_t mb = min(mc - m, mr);
|
|
gemm(
|
|
mb, nc, kc * sizeof(float),
|
|
a.data() + m * kc, kc * sizeof(float),
|
|
w.data() + buffer_index * nc_stride * (kc_stride + 1),
|
|
c.data() + (buffer_index * mc + m) * nc, nc * sizeof(float), nr * sizeof(float),
|
|
¶ms);
|
|
}
|
|
}
|
|
|
|
const uint64_t cpu_frequency = benchmark::utils::GetCurrentCpuFrequency();
|
|
if (cpu_frequency != 0) {
|
|
state.counters["cpufreq"] = cpu_frequency;
|
|
}
|
|
|
|
state.counters["FLOPS"] = benchmark::Counter(
|
|
uint64_t(state.iterations()) * 2 * mc * nc * kc, benchmark::Counter::kIsRate);
|
|
}
|
|
|
|
static void PPMM1PBenchmark(benchmark::State& state,
|
|
xnn_f32_ppmm_minmax_ukernel_function ppmm,
|
|
xnn_x32_packx_ukernel_function packx,
|
|
size_t mr, size_t nr,
|
|
benchmark::utils::IsaCheckFunction isa_check = nullptr)
|
|
{
|
|
if (isa_check && !isa_check(state)) {
|
|
return;
|
|
}
|
|
|
|
const size_t mc = state.range(0);
|
|
const size_t nc = state.range(1);
|
|
const size_t kc = state.range(2);
|
|
|
|
const size_t nc_stride = benchmark::utils::RoundUp(nc, nr);
|
|
|
|
std::random_device random_device;
|
|
auto rng = std::mt19937(random_device());
|
|
auto f32rng = std::bind(std::uniform_real_distribution<float>(), std::ref(rng));
|
|
|
|
std::vector<float> a(mc * kc);
|
|
std::generate(a.begin(), a.end(), std::ref(f32rng));
|
|
std::vector<float> k(nc * kc);
|
|
std::generate(k.begin(), k.end(), std::ref(f32rng));
|
|
std::vector<float> b(nc);
|
|
std::generate(b.begin(), b.end(), std::ref(f32rng));
|
|
|
|
std::vector<uint32_t, AlignedAllocator<uint32_t, 32>> t(mr * kc);
|
|
|
|
const size_t w_elements = nc_stride * kc + nc_stride;
|
|
const size_t c_elements = mc * nc;
|
|
const size_t num_buffers = 1 +
|
|
benchmark::utils::DivideRoundUp<size_t>(benchmark::utils::GetMaxCacheSize(),
|
|
sizeof(float) * (w_elements + c_elements));
|
|
|
|
std::vector<float, AlignedAllocator<float, 32>> w(w_elements * num_buffers);
|
|
std::fill(w.begin(), w.end(), 0.0f);
|
|
xnn_pack_f32_gemm_goi_w(1 /* groups */, nc, kc, nr, 1 /* kr */, 1 /* sr */, k.data(), b.data(), w.data(), nullptr);
|
|
std::vector<float> c(c_elements * num_buffers);
|
|
std::fill(c.begin(), c.end(), std::nanf(""));
|
|
|
|
xnn_f32_minmax_params params =
|
|
xnn_init_f32_minmax_params(-std::numeric_limits<float>::infinity(), +std::numeric_limits<float>::infinity());
|
|
|
|
size_t buffer_index = 0;
|
|
for (auto _ : state) {
|
|
// Use circular buffers (exceeding cache size) and prefetch to control cache state:
|
|
// - A is always in L1 cache (if fits, otherwise L2, L3, etc)
|
|
// - W is not in cache (for any cache level)
|
|
// - C is not in cache (for any cache level)
|
|
state.PauseTiming();
|
|
benchmark::utils::PrefetchToL1(a.data(), a.size() * sizeof(float));
|
|
buffer_index = (buffer_index + 1) % num_buffers;
|
|
state.ResumeTiming();
|
|
|
|
for (uint32_t m = 0; m < mc; m += mr) {
|
|
const uint32_t mb = min(mc - m, mr);
|
|
packx(mb, kc, reinterpret_cast<const uint32_t*>(a.data() + m * kc), kc, t.data());
|
|
ppmm(
|
|
mb, nc, kc * sizeof(float),
|
|
reinterpret_cast<const float*>(t.data()),
|
|
w.data() + nc_stride * buffer_index * (kc + 1),
|
|
c.data() + (mc * buffer_index + m) * nc, nc * sizeof(float), nr * sizeof(float),
|
|
¶ms);
|
|
}
|
|
}
|
|
|
|
const uint64_t cpu_frequency = benchmark::utils::GetCurrentCpuFrequency();
|
|
if (cpu_frequency != 0) {
|
|
state.counters["cpufreq"] = cpu_frequency;
|
|
}
|
|
|
|
state.counters["FLOPS"] = benchmark::Counter(
|
|
uint64_t(state.iterations()) * 2 * mc * nc * kc, benchmark::Counter::kIsRate);
|
|
}
|
|
|
|
static void PPMM2PBenchmark(benchmark::State& state,
|
|
xnn_f32_ppmm_minmax_ukernel_function ppmm,
|
|
xnn_x32_packx_ukernel_function packx,
|
|
size_t mr, size_t nr,
|
|
benchmark::utils::IsaCheckFunction isa_check = nullptr)
|
|
{
|
|
if (isa_check && !isa_check(state)) {
|
|
return;
|
|
}
|
|
|
|
const size_t mc = state.range(0);
|
|
const size_t nc = state.range(1);
|
|
const size_t kc = state.range(2);
|
|
|
|
const size_t mc_stride = benchmark::utils::RoundUp(mc, mr);
|
|
const size_t nc_stride = benchmark::utils::RoundUp(nc, nr);
|
|
|
|
std::random_device random_device;
|
|
auto rng = std::mt19937(random_device());
|
|
auto f32rng = std::bind(std::uniform_real_distribution<float>(), std::ref(rng));
|
|
|
|
std::vector<float> a(mc * kc);
|
|
std::generate(a.begin(), a.end(), std::ref(f32rng));
|
|
std::vector<float> k(nc * kc);
|
|
std::generate(k.begin(), k.end(), std::ref(f32rng));
|
|
std::vector<float> b(nc);
|
|
std::generate(b.begin(), b.end(), std::ref(f32rng));
|
|
|
|
std::vector<uint32_t, AlignedAllocator<uint32_t, 32>> t(mc_stride * kc);
|
|
|
|
const size_t w_elements = nc_stride * kc + nc_stride;
|
|
const size_t c_elements = mc * nc;
|
|
const size_t num_buffers = 1 +
|
|
benchmark::utils::DivideRoundUp<size_t>(benchmark::utils::GetMaxCacheSize(),
|
|
sizeof(float) * (w_elements + c_elements));
|
|
|
|
std::vector<float, AlignedAllocator<float, 32>> w(w_elements * num_buffers);
|
|
std::fill(w.begin(), w.end(), 0.0f);
|
|
xnn_pack_f32_gemm_goi_w(1 /* groups */, nc, kc, nr, 1 /* kr */, 1 /* sr */, k.data(), b.data(), w.data(), nullptr);
|
|
std::vector<float> c(c_elements * num_buffers);
|
|
std::fill(c.begin(), c.end(), std::nanf(""));
|
|
|
|
xnn_f32_minmax_params params =
|
|
xnn_init_f32_minmax_params(-std::numeric_limits<float>::infinity(), +std::numeric_limits<float>::infinity());
|
|
|
|
size_t buffer_index = 0;
|
|
for (auto _ : state) {
|
|
// Use circular buffers (exceeding cache size) and prefetch to control cache state:
|
|
// - A is always in L1 cache (if fits, otherwise L2, L3, etc)
|
|
// - W is not in cache (for any cache level)
|
|
// - C is not in cache (for any cache level)
|
|
state.PauseTiming();
|
|
benchmark::utils::PrefetchToL1(a.data(), a.size() * sizeof(float));
|
|
buffer_index = (buffer_index + 1) % num_buffers;
|
|
state.ResumeTiming();
|
|
|
|
for (uint32_t m = 0; m < mc; m += mr) {
|
|
const uint32_t mb = min(mc - m, mr);
|
|
packx(mb, kc, reinterpret_cast<const uint32_t*>(a.data() + m * kc), kc, t.data() + m * kc);
|
|
}
|
|
for (uint32_t m = 0; m < mc; m += mr) {
|
|
const uint32_t mb = min(mc - m, mr);
|
|
ppmm(
|
|
mb, nc, kc * sizeof(float),
|
|
reinterpret_cast<const float*>(t.data() + m * kc),
|
|
w.data() + nc_stride * buffer_index * (kc + 1),
|
|
c.data() + (mc * buffer_index + m) * nc, nc * sizeof(float), nr * sizeof(float),
|
|
¶ms);
|
|
}
|
|
}
|
|
|
|
const uint64_t cpu_frequency = benchmark::utils::GetCurrentCpuFrequency();
|
|
if (cpu_frequency != 0) {
|
|
state.counters["cpufreq"] = cpu_frequency;
|
|
}
|
|
|
|
state.counters["FLOPS"] = benchmark::Counter(
|
|
uint64_t(state.iterations()) * 2 * mc * nc * kc, benchmark::Counter::kIsRate);
|
|
}
|
|
|
|
#ifdef BENCHMARK_RUY
|
|
static void RuyBenchmark(benchmark::State& state, uint32_t threads)
|
|
{
|
|
std::random_device random_device;
|
|
auto rng = std::mt19937(random_device());
|
|
auto f32rng = std::bind(std::uniform_real_distribution<float>(), std::ref(rng));
|
|
|
|
const size_t mc = state.range(0);
|
|
const size_t nc = state.range(1);
|
|
const size_t kc = state.range(2);
|
|
|
|
const size_t num_buffers = 1 +
|
|
benchmark::utils::DivideRoundUp<size_t>(benchmark::utils::GetMaxCacheSize(),
|
|
sizeof(float) * (nc * (mc + kc + 1)));
|
|
|
|
std::vector<float> a(mc * kc);
|
|
std::generate(a.begin(), a.end(), std::ref(f32rng));
|
|
std::vector<float> k(num_buffers * nc * kc);
|
|
std::generate(k.begin(), k.end(), std::ref(f32rng));
|
|
std::vector<float> b(num_buffers * nc);
|
|
std::generate(b.begin(), b.end(), std::ref(f32rng));
|
|
std::vector<float> c(num_buffers * nc * mc);
|
|
std::fill(c.begin(), c.end(), std::nanf(""));
|
|
|
|
// Note: context must be static to avoid the cost of re-creating it for each benchmark.
|
|
static ruy::Context context;
|
|
context.set_max_num_threads(threads);
|
|
|
|
ruy::Matrix<float> ruy_a;
|
|
ruy::MakeSimpleLayout(nc, kc, ruy::Order::kRowMajor, ruy_a.mutable_layout());
|
|
ruy::Matrix<float> ruy_b;
|
|
ruy::MakeSimpleLayout(kc, mc, ruy::Order::kColMajor, ruy_b.mutable_layout());
|
|
ruy_b.set_data(a.data());
|
|
ruy::Matrix<float> ruy_c;
|
|
ruy::MakeSimpleLayout(nc, mc, ruy::Order::kColMajor, ruy_c.mutable_layout());
|
|
|
|
ruy::MulParams<float, float> mul_params;
|
|
|
|
// ruy::Context uses deferred initialization, which affects percieved GEMM performance. Initialization happens during
|
|
// the first GEMM calls, and per Benoit Jacob it takes up to ~250 milliseconds for performance to stabilize.
|
|
// Thus, on the first benchmark, we compute GEMM for 500 milliseconds (to be safe) without recording performance, and
|
|
// keep the ruy::Context object initialized (by being static) between subsequent benchmarks.
|
|
static std::once_flag warmup;
|
|
std::call_once(warmup, [&](){
|
|
auto start = std::chrono::steady_clock::now();
|
|
do {
|
|
ruy_a.set_data(k.data());
|
|
ruy_c.set_data(c.data());
|
|
mul_params.set_bias(b.data());
|
|
|
|
ruy::Mul(ruy_a, ruy_b, mul_params, &context, &ruy_c);
|
|
} while (std::chrono::duration<double>(std::chrono::steady_clock::now() - start).count() < 0.5);
|
|
});
|
|
|
|
size_t buffer_index = 0;
|
|
for (auto _ : state) {
|
|
// Use circular buffers (exceeding cache size) and prefetch to control cache state:
|
|
// - A is always in L1 cache (if fits, otherwise L2, L3, etc)
|
|
// - K is not in cache (for any cache level)
|
|
// - B is not in cache (for any cache level)
|
|
// - C is not in cache (for any cache level)
|
|
state.PauseTiming();
|
|
benchmark::utils::PrefetchToL1(a.data(), a.size() * sizeof(float));
|
|
buffer_index = (buffer_index + 1) % num_buffers;
|
|
state.ResumeTiming();
|
|
|
|
ruy_a.set_data(k.data() + buffer_index * nc * kc);
|
|
ruy_c.set_data(c.data() + buffer_index * mc * nc);
|
|
mul_params.set_bias(b.data() + buffer_index * nc);
|
|
|
|
ruy::Mul(ruy_a, ruy_b, mul_params, &context, &ruy_c);
|
|
}
|
|
|
|
const uint64_t cpu_frequency = benchmark::utils::GetCurrentCpuFrequency();
|
|
if (cpu_frequency != 0) {
|
|
state.counters["cpufreq"] = cpu_frequency;
|
|
}
|
|
|
|
state.counters["FLOPS"] = benchmark::Counter(
|
|
uint64_t(state.iterations()) * 2 * mc * nc * kc, benchmark::Counter::kIsRate);
|
|
}
|
|
|
|
static void ruy_st(benchmark::State& state, const char* net)
|
|
{
|
|
RuyBenchmark(state, 1);
|
|
}
|
|
#endif // BENCHMARK_RUY
|
|
|
|
|
|
#if XNN_ARCH_ARM64 && XNN_ENABLE_ASSEMBLY
|
|
static void f32_gemm_1x8__aarch64_neonfma_ld64(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_1x8__aarch64_neonfma_ld64, 1, 8, 1, 1);
|
|
}
|
|
static void f32_gemm_1x12__aarch64_neonfma_cortex_a53(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_1x12__aarch64_neonfma_cortex_a53, 1, 12, 1, 1);
|
|
}
|
|
static void f32_gemm_1x8__aarch64_neonfma_cortex_a53(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_1x8__aarch64_neonfma_cortex_a53, 1, 8, 1, 1);
|
|
}
|
|
static void f32_gemm_1x8__aarch64_neonfma_cortex_a57(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_1x8__aarch64_neonfma_cortex_a57, 1, 8, 1, 1);
|
|
}
|
|
static void f32_gemm_1x8__aarch64_neonfma_cortex_a75(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_1x8__aarch64_neonfma_cortex_a75, 1, 8, 1, 1);
|
|
}
|
|
static void f32_gemm_4x12__aarch64_neonfma_cortex_a53(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_4x12__aarch64_neonfma_cortex_a53, 4, 12, 1, 1);
|
|
}
|
|
static void f32_gemm_4x8__aarch64_neonfma_cortex_a53(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_4x8__aarch64_neonfma_cortex_a53, 4, 8, 1, 1);
|
|
}
|
|
static void f32_gemm_4x8__aarch64_neonfma_cortex_a55(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_4x8__aarch64_neonfma_cortex_a55, 4, 8, 1, 1);
|
|
}
|
|
static void f32_gemm_4x8__aarch64_neonfma_cortex_a57(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_4x8__aarch64_neonfma_cortex_a57, 4, 8, 1, 1);
|
|
}
|
|
static void f32_gemm_4x8__aarch64_neonfma_cortex_a75(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_4x8__aarch64_neonfma_cortex_a75, 4, 8, 1, 1);
|
|
}
|
|
static void f32_gemm_4x8__aarch64_neonfma_ld64(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_4x8__aarch64_neonfma_ld64, 4, 8, 1, 1);
|
|
}
|
|
static void f32_gemm_4x8__aarch64_neonfma_ld128(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_4x8__aarch64_neonfma_ld128, 4, 8, 1, 1);
|
|
}
|
|
static void f32_gemm_5x8__aarch64_neonfma_cortex_a57(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_5x8__aarch64_neonfma_cortex_a57, 5, 8, 1, 1);
|
|
}
|
|
static void f32_gemm_5x8__aarch64_neonfma_cortex_a75(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_5x8__aarch64_neonfma_cortex_a75, 5, 8, 1, 1);
|
|
}
|
|
static void f32_gemm_6x8__aarch64_neonfma_ld64(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_6x8__aarch64_neonfma_ld64, 6, 8, 1, 1);
|
|
}
|
|
static void f32_gemm_6x8__aarch64_neonfma_ld128(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_6x8__aarch64_neonfma_ld128, 6, 8, 1, 1);
|
|
}
|
|
static void f32_gemm_6x8__aarch64_neonfma_cortex_a53(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_6x8__aarch64_neonfma_cortex_a53, 6, 8, 1, 1);
|
|
}
|
|
static void f32_gemm_6x8__aarch64_neonfma_cortex_a55(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_6x8__aarch64_neonfma_cortex_a55, 6, 8, 1, 1);
|
|
}
|
|
static void f32_gemm_6x8__aarch64_neonfma_cortex_a73(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_6x8__aarch64_neonfma_cortex_a73, 6, 8, 1, 1);
|
|
}
|
|
static void f32_gemm_6x8__aarch64_neonfma_cortex_a57(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_6x8__aarch64_neonfma_cortex_a57, 6, 8, 1, 1);
|
|
}
|
|
static void f32_gemm_6x8__aarch64_neonfma_cortex_a75(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_6x8__aarch64_neonfma_cortex_a75, 6, 8, 1, 1);
|
|
}
|
|
static void f32_gemm_1x8__neonfma_lane_ld64(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_1x8__neonfma_lane_ld64, 1, 8, 1, 1);
|
|
}
|
|
static void f32_gemm_4x8__neonfma_lane_ld64(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_4x8__neonfma_lane_ld64, 4, 8, 1, 1);
|
|
}
|
|
static void f32_gemm_4x8__neonfma_lane_ld128(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_4x8__neonfma_lane_ld128, 4, 8, 1, 1);
|
|
}
|
|
static void f32_gemm_5x8__neonfma_lane_ld64(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_5x8__neonfma_lane_ld64, 5, 8, 1, 1);
|
|
}
|
|
static void f32_gemm_6x8__neonfma_lane_ld64(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_6x8__neonfma_lane_ld64, 6, 8, 1, 1);
|
|
}
|
|
static void f32_gemm_6x8__neonfma_lane_ld128(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_6x8__neonfma_lane_ld128, 6, 8, 1, 1);
|
|
}
|
|
BENCHMARK_GEMM(f32_gemm_1x8__aarch64_neonfma_ld64)
|
|
BENCHMARK_GEMM(f32_gemm_1x12__aarch64_neonfma_cortex_a53)
|
|
BENCHMARK_GEMM(f32_gemm_1x8__aarch64_neonfma_cortex_a53)
|
|
BENCHMARK_GEMM(f32_gemm_1x8__aarch64_neonfma_cortex_a57)
|
|
BENCHMARK_GEMM(f32_gemm_1x8__aarch64_neonfma_cortex_a75)
|
|
BENCHMARK_GEMM(f32_gemm_4x12__aarch64_neonfma_cortex_a53)
|
|
BENCHMARK_GEMM(f32_gemm_4x8__aarch64_neonfma_cortex_a53)
|
|
BENCHMARK_GEMM(f32_gemm_4x8__aarch64_neonfma_cortex_a55)
|
|
BENCHMARK_GEMM(f32_gemm_4x8__aarch64_neonfma_cortex_a57)
|
|
BENCHMARK_GEMM(f32_gemm_4x8__aarch64_neonfma_cortex_a75)
|
|
BENCHMARK_GEMM(f32_gemm_4x8__aarch64_neonfma_ld128)
|
|
BENCHMARK_GEMM(f32_gemm_4x8__aarch64_neonfma_ld64)
|
|
BENCHMARK_GEMM(f32_gemm_5x8__aarch64_neonfma_cortex_a57)
|
|
BENCHMARK_GEMM(f32_gemm_5x8__aarch64_neonfma_cortex_a75)
|
|
BENCHMARK_GEMM(f32_gemm_6x8__aarch64_neonfma_cortex_a53)
|
|
BENCHMARK_GEMM(f32_gemm_6x8__aarch64_neonfma_cortex_a55)
|
|
BENCHMARK_GEMM(f32_gemm_6x8__aarch64_neonfma_cortex_a73)
|
|
BENCHMARK_GEMM(f32_gemm_6x8__aarch64_neonfma_cortex_a57)
|
|
BENCHMARK_GEMM(f32_gemm_6x8__aarch64_neonfma_cortex_a75)
|
|
BENCHMARK_GEMM(f32_gemm_6x8__aarch64_neonfma_ld64)
|
|
BENCHMARK_GEMM(f32_gemm_6x8__aarch64_neonfma_ld128)
|
|
BENCHMARK_GEMM(f32_gemm_1x8__neonfma_lane_ld64)
|
|
BENCHMARK_GEMM(f32_gemm_4x8__neonfma_lane_ld64)
|
|
BENCHMARK_GEMM(f32_gemm_4x8__neonfma_lane_ld128)
|
|
BENCHMARK_GEMM(f32_gemm_5x8__neonfma_lane_ld64)
|
|
BENCHMARK_GEMM(f32_gemm_6x8__neonfma_lane_ld64)
|
|
BENCHMARK_GEMM(f32_gemm_6x8__neonfma_lane_ld128)
|
|
#endif // XNN_ARCH_ARM64
|
|
|
|
#if XNN_ARCH_ARM && XNN_ENABLE_ASSEMBLY
|
|
static void f32_gemm_4x4__aarch32_vfp_ld64(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_4x4__aarch32_vfp_ld64, 4, 4, 1, 1, benchmark::utils::CheckVFP);
|
|
}
|
|
static void f32_gemm_4x8__aarch32_neon_ld64(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_4x8__aarch32_neon_ld64, 4, 8, 1, 1, benchmark::utils::CheckNEON);
|
|
}
|
|
static void f32_gemm_4x8__aarch32_neon_cortex_a7(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_4x8__aarch32_neon_cortex_a7, 4, 8, 1, 1, benchmark::utils::CheckNEON);
|
|
}
|
|
static void f32_gemm_4x8__aarch32_neon_cortex_a53(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_4x8__aarch32_neon_cortex_a53, 4, 8, 1, 1, benchmark::utils::CheckNEON);
|
|
}
|
|
static void f32_gemm_4x8__aarch32_neon_cortex_a55(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_4x8__aarch32_neon_cortex_a55, 4, 8, 1, 1, benchmark::utils::CheckNEON);
|
|
}
|
|
static void f32_gemm_4x8__aarch32_neon_cortex_a75(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_4x8__aarch32_neon_cortex_a75, 4, 8, 1, 1, benchmark::utils::CheckNEON);
|
|
}
|
|
static void f32_gemm_4x8__aarch32_neon_pld_cortex_a75(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_4x8__aarch32_neon_pld_cortex_a75, 4, 8, 1, 1, benchmark::utils::CheckNEON);
|
|
}
|
|
|
|
BENCHMARK_GEMM(f32_gemm_4x4__aarch32_vfp_ld64)
|
|
BENCHMARK_GEMM(f32_gemm_4x8__aarch32_neon_ld64)
|
|
BENCHMARK_GEMM(f32_gemm_4x8__aarch32_neon_cortex_a7)
|
|
BENCHMARK_GEMM(f32_gemm_4x8__aarch32_neon_cortex_a53)
|
|
BENCHMARK_GEMM(f32_gemm_4x8__aarch32_neon_cortex_a55)
|
|
BENCHMARK_GEMM(f32_gemm_4x8__aarch32_neon_cortex_a75)
|
|
BENCHMARK_GEMM(f32_gemm_4x8__aarch32_neon_pld_cortex_a75)
|
|
#endif // XNN_ARCH_ARM
|
|
|
|
#if XNN_ARCH_ARM || XNN_ARCH_ARM64
|
|
static void f32_gemm_1x8__neon_lane_ld64(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_1x8__neon_lane_ld64, 1, 8, 1, 1, benchmark::utils::CheckNEON);
|
|
}
|
|
static void f32_gemm_4x8__neon_lane_ld64(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_4x8__neon_lane_ld64, 4, 8, 1, 1, benchmark::utils::CheckNEON);
|
|
}
|
|
static void f32_gemm_4x8__neon_lane_ld128(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_4x8__neon_lane_ld128, 4, 8, 1, 1, benchmark::utils::CheckNEON);
|
|
}
|
|
static void f32_gemm_5x8__neon_lane_ld64(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_5x8__neon_lane_ld64, 5, 8, 1, 1, benchmark::utils::CheckNEON);
|
|
}
|
|
static void f32_gemm_6x8__neon_lane_ld64(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_6x8__neon_lane_ld64, 6, 8, 1, 1, benchmark::utils::CheckNEON);
|
|
}
|
|
static void f32_gemm_6x8__neon_lane_ld128(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_6x8__neon_lane_ld128, 6, 8, 1, 1, benchmark::utils::CheckNEON);
|
|
}
|
|
static void f32_gemm_1x8__neonfma_dup_ld64(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_1x8__neonfma_dup_ld64, 1, 8, 1, 1, benchmark::utils::CheckNEONFMA);
|
|
}
|
|
static void f32_gemm_4x8__neonfma_dup_ld64(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_4x8__neonfma_dup_ld64, 4, 8, 1, 1, benchmark::utils::CheckNEONFMA);
|
|
}
|
|
static void f32_gemm_4x8__neonfma_dup_ld128(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_4x8__neonfma_dup_ld128, 4, 8, 1, 1, benchmark::utils::CheckNEONFMA);
|
|
}
|
|
static void f32_gemm_6x8__neonfma_dup_ld64(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_6x8__neonfma_dup_ld64, 6, 8, 1, 1, benchmark::utils::CheckNEONFMA);
|
|
}
|
|
static void f32_gemm_6x8__neonfma_dup_ld128(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_6x8__neonfma_dup_ld128, 6, 8, 1, 1, benchmark::utils::CheckNEONFMA);
|
|
}
|
|
static void f32_gemm_1x8s4__neon(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_1x8s4__neon, 1, 8, 1, 4, benchmark::utils::CheckNEON);
|
|
}
|
|
static void f32_gemm_1x8s4__neonfma(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_1x8s4__neonfma, 1, 8, 1, 4, benchmark::utils::CheckNEONFMA);
|
|
}
|
|
static void f32_gemm_4x8s4__neon(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_4x8s4__neon, 4, 8, 1, 4, benchmark::utils::CheckNEON);
|
|
}
|
|
static void f32_gemm_4x8s4__neonfma(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_4x8s4__neonfma, 4, 8, 1, 4, benchmark::utils::CheckNEONFMA);
|
|
}
|
|
static void f32_gemm_6x8s4__neon(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_6x8s4__neon, 6, 8, 1, 4, benchmark::utils::CheckNEON);
|
|
}
|
|
static void f32_gemm_6x8s4__neonfma(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_6x8s4__neonfma, 6, 8, 1, 4, benchmark::utils::CheckNEONFMA);
|
|
}
|
|
static void f32_gemm_8x8s4__neon(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_8x8s4__neon, 8, 8, 1, 4, benchmark::utils::CheckNEON);
|
|
}
|
|
static void f32_gemm_8x8s4__neonfma(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_8x8s4__neonfma, 8, 8, 1, 4, benchmark::utils::CheckNEONFMA);
|
|
}
|
|
static void f32_ppmm_4x8_unipass__neonfma(benchmark::State& state, const char* net) {
|
|
PPMM1PBenchmark(state, xnn_f32_ppmm_minmax_ukernel_4x8__neonfma, xnn_x32_packx_ukernel_4x__neon_st4, 4, 8, benchmark::utils::CheckNEONFMA);
|
|
}
|
|
static void f32_ppmm_4x8_twopass__neonfma(benchmark::State& state, const char* net) {
|
|
PPMM2PBenchmark(state, xnn_f32_ppmm_minmax_ukernel_4x8__neonfma, xnn_x32_packx_ukernel_4x__neon_st4, 4, 8, benchmark::utils::CheckNEONFMA);
|
|
}
|
|
|
|
BENCHMARK_GEMM(f32_gemm_1x8__neon_lane_ld64)
|
|
BENCHMARK_GEMM(f32_gemm_4x8__neon_lane_ld64)
|
|
BENCHMARK_GEMM(f32_gemm_4x8__neon_lane_ld128)
|
|
BENCHMARK_GEMM(f32_gemm_5x8__neon_lane_ld64)
|
|
BENCHMARK_GEMM(f32_gemm_6x8__neon_lane_ld64)
|
|
BENCHMARK_GEMM(f32_gemm_6x8__neon_lane_ld128)
|
|
BENCHMARK_GEMM(f32_gemm_1x8__neonfma_dup_ld64)
|
|
BENCHMARK_GEMM(f32_gemm_4x8__neonfma_dup_ld128)
|
|
BENCHMARK_GEMM(f32_gemm_4x8__neonfma_dup_ld64)
|
|
BENCHMARK_GEMM(f32_gemm_6x8__neonfma_dup_ld64)
|
|
BENCHMARK_GEMM(f32_gemm_6x8__neonfma_dup_ld128)
|
|
BENCHMARK_GEMM(f32_gemm_1x8s4__neon)
|
|
BENCHMARK_GEMM(f32_gemm_1x8s4__neonfma)
|
|
BENCHMARK_GEMM(f32_gemm_4x8s4__neon)
|
|
BENCHMARK_GEMM(f32_gemm_4x8s4__neonfma)
|
|
BENCHMARK_GEMM(f32_gemm_6x8s4__neon)
|
|
BENCHMARK_GEMM(f32_gemm_6x8s4__neonfma)
|
|
BENCHMARK_GEMM(f32_gemm_8x8s4__neon)
|
|
BENCHMARK_GEMM(f32_gemm_8x8s4__neonfma)
|
|
BENCHMARK_GEMM(f32_ppmm_4x8_unipass__neonfma)
|
|
BENCHMARK_GEMM(f32_ppmm_4x8_twopass__neonfma)
|
|
#endif // XNN_ARCH_ARM || XNN_ARCH_ARM64
|
|
|
|
#if XNN_ARCH_X86 || XNN_ARCH_X86_64
|
|
static void f32_gemm_1x8__sse_load1(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_1x8__sse_load1, 1, 8, 1, 1);
|
|
}
|
|
static void f32_gemm_3x8__sse_load1(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_3x8__sse_load1, 3, 8, 1, 1);
|
|
}
|
|
static void f32_gemm_4x8__sse_load1(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_4x8__sse_load1, 4, 8, 1, 1);
|
|
}
|
|
static void f32_gemm_5x8__sse_load1(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_5x8__sse_load1, 5, 8, 1, 1);
|
|
}
|
|
|
|
static void f32_gemm_1x8__sse_dup(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_1x8__sse_dup, 1, 8, 1, 1);
|
|
}
|
|
static void f32_gemm_3x8__sse_dup(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_3x8__sse_dup, 3, 8, 1, 1);
|
|
}
|
|
static void f32_gemm_4x8__sse_dup(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_4x8__sse_dup, 4, 8, 1, 1);
|
|
}
|
|
static void f32_gemm_5x8__sse_dup(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_5x8__sse_dup, 5, 8, 1, 1);
|
|
}
|
|
|
|
static void f32_gemm_1x8s4__sse(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_1x8s4__sse, 1, 8, 1, 4);
|
|
}
|
|
static void f32_gemm_3x8s4__sse(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_3x8s4__sse, 3, 8, 1, 4);
|
|
}
|
|
static void f32_gemm_4x8s4__sse(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_4x8s4__sse, 4, 8, 1, 4);
|
|
}
|
|
static void f32_gemm_5x8s4__sse(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_5x8s4__sse, 5, 8, 1, 4);
|
|
}
|
|
|
|
static void f32_gemm_1x8__sse2_dup(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_1x8__sse2_dup, 1, 8, 1, 1);
|
|
}
|
|
static void f32_gemm_3x8__sse2_dup(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_3x8__sse2_dup, 3, 8, 1, 1);
|
|
}
|
|
static void f32_gemm_4x8__sse2_dup(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_4x8__sse2_dup, 4, 8, 1, 1);
|
|
}
|
|
static void f32_gemm_5x8__sse2_dup(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_5x8__sse2_dup, 5, 8, 1, 1);
|
|
}
|
|
|
|
static void f32_ppmm_4x8_unipass__sse(benchmark::State& state, const char* net) {
|
|
PPMM1PBenchmark(state, xnn_f32_ppmm_minmax_ukernel_4x8__sse, xnn_x32_packx_ukernel_4x__sse, 4, 8);
|
|
}
|
|
static void f32_ppmm_4x8_twopass__sse(benchmark::State& state, const char* net) {
|
|
PPMM2PBenchmark(state, xnn_f32_ppmm_minmax_ukernel_4x8__sse, xnn_x32_packx_ukernel_4x__sse, 4, 8);
|
|
}
|
|
|
|
static void f32_gemm_1x8__avx_broadcast(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_1x8__avx_broadcast, 1, 8, 1, 1, benchmark::utils::CheckAVX);
|
|
}
|
|
static void f32_gemm_4x8__avx_broadcast(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_4x8__avx_broadcast, 4, 8, 1, 1, benchmark::utils::CheckAVX);
|
|
}
|
|
static void f32_gemm_5x8__avx_broadcast(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_5x8__avx_broadcast, 5, 8, 1, 1, benchmark::utils::CheckAVX);
|
|
}
|
|
static void f32_gemm_6x8__avx_broadcast(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_6x8__avx_broadcast, 6, 8, 1, 1, benchmark::utils::CheckAVX);
|
|
}
|
|
static void f32_gemm_7x8__avx_broadcast(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_7x8__avx_broadcast, 7, 8, 1, 1, benchmark::utils::CheckAVX);
|
|
}
|
|
static void f32_gemm_1x16__avx_broadcast(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_1x16__avx_broadcast, 1, 16, 1, 1, benchmark::utils::CheckAVX);
|
|
}
|
|
static void f32_gemm_3x16__avx_broadcast(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_3x16__avx_broadcast, 4, 16, 1, 1, benchmark::utils::CheckAVX);
|
|
}
|
|
static void f32_gemm_4x16__avx_broadcast(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_4x16__avx_broadcast, 4, 16, 1, 1, benchmark::utils::CheckAVX);
|
|
}
|
|
static void f32_gemm_5x16__avx_broadcast(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_5x16__avx_broadcast, 5, 16, 1, 1, benchmark::utils::CheckAVX);
|
|
}
|
|
|
|
static void f32_gemm_1x8__fma3_broadcast(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_1x8__fma3_broadcast, 1, 8, 1, 1, benchmark::utils::CheckFMA3);
|
|
}
|
|
static void f32_gemm_4x8__fma3_broadcast(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_4x8__fma3_broadcast, 4, 8, 1, 1, benchmark::utils::CheckFMA3);
|
|
}
|
|
static void f32_gemm_5x8__fma3_broadcast(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_5x8__fma3_broadcast, 5, 8, 1, 1, benchmark::utils::CheckFMA3);
|
|
}
|
|
static void f32_gemm_6x8__fma3_broadcast(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_6x8__fma3_broadcast, 6, 8, 1, 1, benchmark::utils::CheckFMA3);
|
|
}
|
|
static void f32_gemm_7x8__fma3_broadcast(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_7x8__fma3_broadcast, 7, 8, 1, 1, benchmark::utils::CheckFMA3);
|
|
}
|
|
static void f32_gemm_8x8__fma3_broadcast(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_8x8__fma3_broadcast, 8, 8, 1, 1, benchmark::utils::CheckFMA3);
|
|
}
|
|
static void f32_gemm_1x16__fma3_broadcast(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_1x16__fma3_broadcast, 1, 16, 1, 1, benchmark::utils::CheckFMA3);
|
|
}
|
|
static void f32_gemm_3x16__fma3_broadcast(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_3x16__fma3_broadcast, 4, 16, 1, 1, benchmark::utils::CheckFMA3);
|
|
}
|
|
static void f32_gemm_4x16__fma3_broadcast(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_4x16__fma3_broadcast, 4, 16, 1, 1, benchmark::utils::CheckFMA3);
|
|
}
|
|
static void f32_gemm_5x16__fma3_broadcast(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_5x16__fma3_broadcast, 5, 16, 1, 1, benchmark::utils::CheckFMA3);
|
|
}
|
|
|
|
static void f32_gemm_1x16s4__fma3_broadcast(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_1x16s4__fma3_broadcast, 1, 16, 1, 4, benchmark::utils::CheckFMA3);
|
|
}
|
|
static void f32_gemm_3x16s4__fma3_broadcast(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_3x16s4__fma3_broadcast, 4, 16, 1, 4, benchmark::utils::CheckFMA3);
|
|
}
|
|
static void f32_gemm_4x16s4__fma3_broadcast(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_4x16s4__fma3_broadcast, 4, 16, 1, 4, benchmark::utils::CheckFMA3);
|
|
}
|
|
static void f32_gemm_5x16s4__fma3_broadcast(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_5x16s4__fma3_broadcast, 5, 16, 1, 4, benchmark::utils::CheckFMA3);
|
|
}
|
|
|
|
static void f32_gemm_1x16__avx512f_broadcast(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_1x16__avx512f_broadcast, 1, 16, 1, 1, benchmark::utils::CheckAVX512F);
|
|
}
|
|
static void f32_gemm_4x16__avx512f_broadcast(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_4x16__avx512f_broadcast, 4, 16, 1, 1, benchmark::utils::CheckAVX512F);
|
|
}
|
|
static void f32_gemm_5x16__avx512f_broadcast(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_5x16__avx512f_broadcast, 5, 16, 1, 1, benchmark::utils::CheckAVX512F);
|
|
}
|
|
static void f32_gemm_6x16__avx512f_broadcast(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_6x16__avx512f_broadcast, 6, 16, 1, 1, benchmark::utils::CheckAVX512F);
|
|
}
|
|
static void f32_gemm_7x16__avx512f_broadcast(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_7x16__avx512f_broadcast, 7, 16, 1, 1, benchmark::utils::CheckAVX512F);
|
|
}
|
|
static void f32_gemm_8x16__avx512f_broadcast(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_8x16__avx512f_broadcast, 8, 16, 1, 1, benchmark::utils::CheckAVX512F);
|
|
}
|
|
|
|
BENCHMARK_GEMM(f32_gemm_1x8__sse_load1)
|
|
BENCHMARK_GEMM(f32_gemm_3x8__sse_load1)
|
|
BENCHMARK_GEMM(f32_gemm_4x8__sse_load1)
|
|
BENCHMARK_GEMM(f32_gemm_5x8__sse_load1)
|
|
|
|
BENCHMARK_GEMM(f32_gemm_1x8__sse_dup)
|
|
BENCHMARK_GEMM(f32_gemm_3x8__sse_dup)
|
|
BENCHMARK_GEMM(f32_gemm_4x8__sse_dup)
|
|
BENCHMARK_GEMM(f32_gemm_5x8__sse_dup)
|
|
|
|
BENCHMARK_GEMM(f32_gemm_1x8s4__sse)
|
|
BENCHMARK_GEMM(f32_gemm_3x8s4__sse)
|
|
BENCHMARK_GEMM(f32_gemm_4x8s4__sse)
|
|
BENCHMARK_GEMM(f32_gemm_5x8s4__sse)
|
|
|
|
BENCHMARK_GEMM(f32_gemm_1x8__sse2_dup)
|
|
BENCHMARK_GEMM(f32_gemm_3x8__sse2_dup)
|
|
BENCHMARK_GEMM(f32_gemm_4x8__sse2_dup)
|
|
BENCHMARK_GEMM(f32_gemm_5x8__sse2_dup)
|
|
|
|
BENCHMARK_GEMM(f32_ppmm_4x8_unipass__sse)
|
|
BENCHMARK_GEMM(f32_ppmm_4x8_twopass__sse)
|
|
|
|
BENCHMARK_GEMM(f32_gemm_1x8__avx_broadcast)
|
|
BENCHMARK_GEMM(f32_gemm_4x8__avx_broadcast)
|
|
BENCHMARK_GEMM(f32_gemm_5x8__avx_broadcast)
|
|
BENCHMARK_GEMM(f32_gemm_6x8__avx_broadcast)
|
|
BENCHMARK_GEMM(f32_gemm_7x8__avx_broadcast)
|
|
BENCHMARK_GEMM(f32_gemm_1x16__avx_broadcast)
|
|
BENCHMARK_GEMM(f32_gemm_3x16__avx_broadcast)
|
|
BENCHMARK_GEMM(f32_gemm_4x16__avx_broadcast)
|
|
BENCHMARK_GEMM(f32_gemm_5x16__avx_broadcast)
|
|
|
|
BENCHMARK_GEMM(f32_gemm_1x8__fma3_broadcast)
|
|
BENCHMARK_GEMM(f32_gemm_4x8__fma3_broadcast)
|
|
BENCHMARK_GEMM(f32_gemm_5x8__fma3_broadcast)
|
|
BENCHMARK_GEMM(f32_gemm_6x8__fma3_broadcast)
|
|
BENCHMARK_GEMM(f32_gemm_7x8__fma3_broadcast)
|
|
BENCHMARK_GEMM(f32_gemm_8x8__fma3_broadcast)
|
|
BENCHMARK_GEMM(f32_gemm_1x16__fma3_broadcast)
|
|
BENCHMARK_GEMM(f32_gemm_3x16__fma3_broadcast)
|
|
BENCHMARK_GEMM(f32_gemm_4x16__fma3_broadcast)
|
|
BENCHMARK_GEMM(f32_gemm_5x16__fma3_broadcast)
|
|
|
|
BENCHMARK_GEMM(f32_gemm_1x16s4__fma3_broadcast)
|
|
BENCHMARK_GEMM(f32_gemm_3x16s4__fma3_broadcast)
|
|
BENCHMARK_GEMM(f32_gemm_4x16s4__fma3_broadcast)
|
|
BENCHMARK_GEMM(f32_gemm_5x16s4__fma3_broadcast)
|
|
|
|
BENCHMARK_GEMM(f32_gemm_1x16__avx512f_broadcast)
|
|
BENCHMARK_GEMM(f32_gemm_4x16__avx512f_broadcast)
|
|
BENCHMARK_GEMM(f32_gemm_5x16__avx512f_broadcast)
|
|
BENCHMARK_GEMM(f32_gemm_6x16__avx512f_broadcast)
|
|
BENCHMARK_GEMM(f32_gemm_7x16__avx512f_broadcast)
|
|
BENCHMARK_GEMM(f32_gemm_8x16__avx512f_broadcast)
|
|
#endif // XNN_ARCH_X86 || XNN_ARCH_X86_64
|
|
|
|
#if XNN_ARCH_WASMSIMD
|
|
static void f32_gemm_3x8__wasmsimd_arm_loadsplat(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_3x8__wasmsimd_arm_loadsplat, 3, 8, 1, 1);
|
|
}
|
|
|
|
static void f32_gemm_4x8__wasmsimd_arm_loadsplat(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_4x8__wasmsimd_arm_loadsplat, 4, 8, 1, 1);
|
|
}
|
|
|
|
static void f32_gemm_5x8__wasmsimd_arm_loadsplat(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_5x8__wasmsimd_arm_loadsplat, 5, 8, 1, 1);
|
|
}
|
|
|
|
static void f32_gemm_6x8__wasmsimd_arm_loadsplat(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_6x8__wasmsimd_arm_loadsplat, 6, 8, 1, 1);
|
|
}
|
|
|
|
static void f32_gemm_3x8__wasmsimd_x86_loadsplat(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_3x8__wasmsimd_x86_loadsplat, 3, 8, 1, 1);
|
|
}
|
|
|
|
static void f32_gemm_4x8__wasmsimd_x86_loadsplat(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_4x8__wasmsimd_x86_loadsplat, 4, 8, 1, 1);
|
|
}
|
|
|
|
static void f32_gemm_5x8__wasmsimd_x86_loadsplat(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_5x8__wasmsimd_x86_loadsplat, 5, 8, 1, 1);
|
|
}
|
|
|
|
static void f32_gemm_6x8__wasmsimd_x86_loadsplat(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_6x8__wasmsimd_x86_loadsplat, 6, 8, 1, 1);
|
|
}
|
|
|
|
static void f32_gemm_3x8__wasmsimd_arm_splat(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_3x8__wasmsimd_arm_splat, 3, 8, 1, 1);
|
|
}
|
|
|
|
static void f32_gemm_4x8__wasmsimd_arm_splat(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_4x8__wasmsimd_arm_splat, 4, 8, 1, 1);
|
|
}
|
|
|
|
static void f32_gemm_5x8__wasmsimd_arm_splat(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_5x8__wasmsimd_arm_splat, 5, 8, 1, 1);
|
|
}
|
|
|
|
static void f32_gemm_6x8__wasmsimd_arm_splat(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_6x8__wasmsimd_arm_splat, 6, 8, 1, 1);
|
|
}
|
|
|
|
static void f32_gemm_3x8__wasmsimd_x86_splat(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_3x8__wasmsimd_x86_splat, 3, 8, 1, 1);
|
|
}
|
|
|
|
static void f32_gemm_4x8__wasmsimd_x86_splat(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_4x8__wasmsimd_x86_splat, 4, 8, 1, 1);
|
|
}
|
|
|
|
static void f32_gemm_5x8__wasmsimd_x86_splat(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_5x8__wasmsimd_x86_splat, 5, 8, 1, 1);
|
|
}
|
|
|
|
static void f32_gemm_6x8__wasmsimd_x86_splat(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_6x8__wasmsimd_x86_splat, 6, 8, 1, 1);
|
|
}
|
|
|
|
static void f32_gemm_3x8s4__wasmsimd_arm(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_3x8s4__wasmsimd_arm, 3, 8, 1, 4);
|
|
}
|
|
|
|
static void f32_gemm_4x8s4__wasmsimd_arm(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_4x8s4__wasmsimd_arm, 4, 8, 1, 4);
|
|
}
|
|
|
|
static void f32_gemm_5x8s4__wasmsimd_arm(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_5x8s4__wasmsimd_arm, 5, 8, 1, 4);
|
|
}
|
|
|
|
static void f32_gemm_6x8s4__wasmsimd_arm(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_6x8s4__wasmsimd_arm, 6, 8, 1, 4);
|
|
}
|
|
|
|
static void f32_gemm_3x8s4__wasmsimd_x86(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_3x8s4__wasmsimd_x86, 3, 8, 1, 4);
|
|
}
|
|
|
|
static void f32_gemm_4x8s4__wasmsimd_x86(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_4x8s4__wasmsimd_x86, 4, 8, 1, 4);
|
|
}
|
|
|
|
static void f32_gemm_5x8s4__wasmsimd_x86(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_5x8s4__wasmsimd_x86, 5, 8, 1, 4);
|
|
}
|
|
|
|
static void f32_gemm_6x8s4__wasmsimd_x86(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_6x8s4__wasmsimd_x86, 6, 8, 1, 4);
|
|
}
|
|
|
|
static void f32_ppmm_4x8_unipass__wasmsimd_arm_splat(benchmark::State& state, const char* net) {
|
|
PPMM1PBenchmark(state, xnn_f32_ppmm_minmax_ukernel_4x8__wasmsimd_arm_splat, xnn_x32_packx_ukernel_4x__wasmsimd, 4, 8);
|
|
}
|
|
static void f32_ppmm_4x8_unipass__wasmsimd_x86_splat(benchmark::State& state, const char* net) {
|
|
PPMM1PBenchmark(state, xnn_f32_ppmm_minmax_ukernel_4x8__wasmsimd_x86_splat, xnn_x32_packx_ukernel_4x__wasmsimd, 4, 8);
|
|
}
|
|
|
|
static void f32_ppmm_4x8_twopass__wasmsimd_arm_splat(benchmark::State& state, const char* net) {
|
|
PPMM2PBenchmark(state, xnn_f32_ppmm_minmax_ukernel_4x8__wasmsimd_arm_splat, xnn_x32_packx_ukernel_4x__wasmsimd, 4, 8);
|
|
}
|
|
static void f32_ppmm_4x8_twopass__wasmsimd_x86_splat(benchmark::State& state, const char* net) {
|
|
PPMM2PBenchmark(state, xnn_f32_ppmm_minmax_ukernel_4x8__wasmsimd_x86_splat, xnn_x32_packx_ukernel_4x__wasmsimd, 4, 8);
|
|
}
|
|
|
|
BENCHMARK_GEMM(f32_gemm_3x8__wasmsimd_arm_loadsplat)
|
|
BENCHMARK_GEMM(f32_gemm_4x8__wasmsimd_arm_loadsplat)
|
|
BENCHMARK_GEMM(f32_gemm_5x8__wasmsimd_arm_loadsplat)
|
|
BENCHMARK_GEMM(f32_gemm_6x8__wasmsimd_arm_loadsplat)
|
|
BENCHMARK_GEMM(f32_gemm_3x8__wasmsimd_x86_loadsplat)
|
|
BENCHMARK_GEMM(f32_gemm_4x8__wasmsimd_x86_loadsplat)
|
|
BENCHMARK_GEMM(f32_gemm_5x8__wasmsimd_x86_loadsplat)
|
|
BENCHMARK_GEMM(f32_gemm_6x8__wasmsimd_x86_loadsplat)
|
|
BENCHMARK_GEMM(f32_gemm_3x8__wasmsimd_arm_splat)
|
|
BENCHMARK_GEMM(f32_gemm_4x8__wasmsimd_arm_splat)
|
|
BENCHMARK_GEMM(f32_gemm_5x8__wasmsimd_arm_splat)
|
|
BENCHMARK_GEMM(f32_gemm_6x8__wasmsimd_arm_splat)
|
|
BENCHMARK_GEMM(f32_gemm_3x8__wasmsimd_x86_splat)
|
|
BENCHMARK_GEMM(f32_gemm_4x8__wasmsimd_x86_splat)
|
|
BENCHMARK_GEMM(f32_gemm_5x8__wasmsimd_x86_splat)
|
|
BENCHMARK_GEMM(f32_gemm_6x8__wasmsimd_x86_splat)
|
|
BENCHMARK_GEMM(f32_gemm_3x8s4__wasmsimd_arm)
|
|
BENCHMARK_GEMM(f32_gemm_4x8s4__wasmsimd_arm)
|
|
BENCHMARK_GEMM(f32_gemm_5x8s4__wasmsimd_arm)
|
|
BENCHMARK_GEMM(f32_gemm_6x8s4__wasmsimd_arm)
|
|
BENCHMARK_GEMM(f32_gemm_3x8s4__wasmsimd_x86)
|
|
BENCHMARK_GEMM(f32_gemm_4x8s4__wasmsimd_x86)
|
|
BENCHMARK_GEMM(f32_gemm_5x8s4__wasmsimd_x86)
|
|
BENCHMARK_GEMM(f32_gemm_6x8s4__wasmsimd_x86)
|
|
BENCHMARK_GEMM(f32_ppmm_4x8_unipass__wasmsimd_arm_splat)
|
|
BENCHMARK_GEMM(f32_ppmm_4x8_unipass__wasmsimd_x86_splat)
|
|
BENCHMARK_GEMM(f32_ppmm_4x8_twopass__wasmsimd_arm_splat)
|
|
BENCHMARK_GEMM(f32_ppmm_4x8_twopass__wasmsimd_x86_splat)
|
|
#endif // XNN_ARCH_WASMSIMD
|
|
|
|
static void f32_gemm_1x4__scalar(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_1x4__scalar, 1, 4, 1, 1);
|
|
}
|
|
|
|
static void f32_gemm_2x4__scalar(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_2x4__scalar, 2, 4, 1, 1);
|
|
}
|
|
|
|
static void f32_gemm_4x4__scalar(benchmark::State& state, const char* net) {
|
|
GEMMBenchmark(state, xnn_f32_gemm_minmax_ukernel_4x4__scalar, 4, 4, 1, 1);
|
|
}
|
|
|
|
static void f32_ppmm_2x4_unipass__scalar(benchmark::State& state, const char* net) {
|
|
PPMM1PBenchmark(state, xnn_f32_ppmm_minmax_ukernel_2x4__scalar, xnn_x32_packx_ukernel_2x__scalar, 2, 4);
|
|
}
|
|
|
|
static void f32_ppmm_4x2_unipass__scalar(benchmark::State& state, const char* net) {
|
|
PPMM1PBenchmark(state, xnn_f32_ppmm_minmax_ukernel_4x2__scalar, xnn_x32_packx_ukernel_4x__scalar, 4, 2);
|
|
}
|
|
|
|
static void f32_ppmm_4x4_unipass__scalar(benchmark::State& state, const char* net) {
|
|
PPMM1PBenchmark(state, xnn_f32_ppmm_minmax_ukernel_4x4__scalar, xnn_x32_packx_ukernel_4x__scalar, 4, 4);
|
|
}
|
|
|
|
static void f32_ppmm_3x3_unipass__scalar(benchmark::State& state, const char* net) {
|
|
PPMM1PBenchmark(state, xnn_f32_ppmm_minmax_ukernel_3x3__scalar, xnn_x32_packx_ukernel_3x__scalar, 3, 3);
|
|
}
|
|
|
|
static void f32_ppmm_2x4_twopass__scalar(benchmark::State& state, const char* net) {
|
|
PPMM2PBenchmark(state, xnn_f32_ppmm_minmax_ukernel_2x4__scalar, xnn_x32_packx_ukernel_2x__scalar, 2, 4);
|
|
}
|
|
|
|
static void f32_ppmm_4x2_twopass__scalar(benchmark::State& state, const char* net) {
|
|
PPMM2PBenchmark(state, xnn_f32_ppmm_minmax_ukernel_4x2__scalar, xnn_x32_packx_ukernel_4x__scalar, 4, 2);
|
|
}
|
|
|
|
static void f32_ppmm_4x4_twopass__scalar(benchmark::State& state, const char* net) {
|
|
PPMM2PBenchmark(state, xnn_f32_ppmm_minmax_ukernel_4x4__scalar, xnn_x32_packx_ukernel_4x__scalar, 4, 4);
|
|
}
|
|
|
|
static void f32_ppmm_3x3_twopass__scalar(benchmark::State& state, const char* net) {
|
|
PPMM2PBenchmark(state, xnn_f32_ppmm_minmax_ukernel_3x3__scalar, xnn_x32_packx_ukernel_3x__scalar, 3, 3);
|
|
}
|
|
|
|
BENCHMARK_GEMM(f32_gemm_1x4__scalar)
|
|
BENCHMARK_GEMM(f32_gemm_2x4__scalar)
|
|
BENCHMARK_GEMM(f32_gemm_4x4__scalar)
|
|
|
|
BENCHMARK_GEMM(f32_ppmm_2x4_unipass__scalar)
|
|
BENCHMARK_GEMM(f32_ppmm_4x2_unipass__scalar)
|
|
BENCHMARK_GEMM(f32_ppmm_4x4_unipass__scalar)
|
|
BENCHMARK_GEMM(f32_ppmm_3x3_unipass__scalar)
|
|
|
|
BENCHMARK_GEMM(f32_ppmm_2x4_twopass__scalar)
|
|
BENCHMARK_GEMM(f32_ppmm_4x2_twopass__scalar)
|
|
BENCHMARK_GEMM(f32_ppmm_4x4_twopass__scalar)
|
|
BENCHMARK_GEMM(f32_ppmm_3x3_twopass__scalar)
|
|
|
|
#ifdef BENCHMARK_RUY
|
|
BENCHMARK_GEMM(ruy_st)
|
|
#endif // BENCHMARK_RUY
|
|
|
|
#ifndef XNNPACK_BENCHMARK_NO_MAIN
|
|
BENCHMARK_MAIN();
|
|
#endif
|