365 lines
15 KiB
C++
365 lines
15 KiB
C++
// Copyright (c) Facebook, Inc. and its affiliates.
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// All rights reserved.
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//
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// Copyright 2019 Google LLC
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//
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// This source code is licensed under the BSD-style license found in the
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// LICENSE file in the root directory of this source tree.
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#include <algorithm>
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#include <cfloat>
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#include <cmath>
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#include <functional>
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#include <random>
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#include <vector>
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#include "gemm.h"
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#include "utils.h"
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#include "xnnpack.h"
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#include "xnnpack/common.h"
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#include "xnnpack/gemm.h"
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#include "xnnpack/math.h"
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#include "xnnpack/microfnptr.h"
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#include "xnnpack/microparams-init.h"
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#include "xnnpack/pack.h"
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#include "xnnpack/buffer.h"
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#include <benchmark/benchmark.h>
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static void f16_gemm(benchmark::State& state,
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xnn_f16_gemm_minmax_ukernel_fn gemm,
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xnn_init_f16_minmax_params_fn init_params,
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size_t mr, size_t nr, size_t kr, size_t sr,
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benchmark::utils::IsaCheckFunction isa_check = nullptr)
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{
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if (isa_check != nullptr && !isa_check(state)) {
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return;
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}
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const size_t mc = state.range(0);
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const size_t nc = state.range(1);
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const size_t kc = state.range(2);
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const size_t nc_stride = benchmark::utils::RoundUp(nc, nr);
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const size_t kc_stride = benchmark::utils::RoundUp(kc, kr * sr);
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std::random_device random_device;
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auto rng = std::mt19937(random_device());
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auto f32rng = std::bind(std::uniform_real_distribution<float>(), std::ref(rng));
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xnnpack::Buffer<xnn_float16> a(mc * kc + XNN_EXTRA_BYTES / sizeof(xnn_float16));
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std::generate(a.begin(), a.end(), f32rng);
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xnnpack::Buffer<xnn_float16> k(nc * kc);
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std::generate(k.begin(), k.end(), f32rng);
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xnnpack::Buffer<xnn_float16> b(nc);
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std::generate(b.begin(), b.end(), f32rng);
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const size_t w_elements = nc_stride * kc_stride + nc_stride;
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const size_t c_elements = mc * nc;
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const size_t num_buffers = 1 +
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benchmark::utils::DivideRoundUp<size_t>(benchmark::utils::GetMaxCacheSize(),
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sizeof(xnn_float16) * (w_elements + c_elements));
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xnnpack::Buffer<xnn_float16, XNN_ALLOCATION_ALIGNMENT> w(w_elements * num_buffers);
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xnn_pack_f16_gemm_goi_w(/*groups=*/1, nc, kc, nr, kr, sr,
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reinterpret_cast<const uint16_t*>(k.data()),
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reinterpret_cast<const uint16_t*>(b.data()),
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/*scale=*/nullptr,
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reinterpret_cast<uint16_t*>(w.data()),
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/*extra_bytes=*/0, /*params=*/nullptr);
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xnnpack::Buffer<xnn_float16> c(c_elements * num_buffers);
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// Prepare minmax parameters.
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xnn_f16_minmax_params params;
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init_params(¶ms, static_cast<xnn_float16>(-INFINITY), static_cast<xnn_float16>(INFINITY));
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size_t buffer_index = 0;
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for (auto _ : state) {
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// Use circular buffers (exceeding cache size) and prefetch to control cache state:
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// - A is always in L1 cache (if fits, otherwise L2, L3, etc)
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// - W is not in cache (for any cache level)
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// - C is not in cache (for any cache level)
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state.PauseTiming();
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benchmark::utils::PrefetchToL1(a.data(), a.size() * sizeof(xnn_float16));
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buffer_index = (buffer_index + 1) % num_buffers;
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state.ResumeTiming();
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for (uint32_t m = 0; m < mc; m += mr) {
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const uint32_t mb = min(mc - m, mr);
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for (uint32_t n = 0; n < nc; n += nr) {
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const uint32_t nb = min(nc - n, nr);
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gemm(
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mb, nb, kc * sizeof(xnn_float16),
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a.data() + m * kc, kc * sizeof(xnn_float16),
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w.data() + (nc_stride * buffer_index + n) * (kc_stride + 1),
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c.data() + (mc * buffer_index + m) * nc + n, nc * sizeof(xnn_float16), nr * sizeof(xnn_float16),
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¶ms);
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}
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}
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}
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const uint64_t cpu_frequency = benchmark::utils::GetCurrentCpuFrequency();
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if (cpu_frequency != 0) {
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state.counters["cpufreq"] = cpu_frequency;
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}
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state.counters["FLOPS"] = benchmark::Counter(
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uint64_t(state.iterations()) * 2 * mc * nc * kc, benchmark::Counter::kIsRate);
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}
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#if XNN_ARCH_ARM64 && XNN_ENABLE_ASSEMBLY
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static void f16_gemm_1x16__asm_aarch64_neonfp16arith_ld32(benchmark::State& state, const char* net) {
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f16_gemm(state,
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xnn_f16_gemm_minmax_ukernel_1x16__asm_aarch64_neonfp16arith_ld32,
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xnn_init_f16_minmax_scalar_params,
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/*mr=*/1, /*nr=*/16, /*kr=*/1, /*sr=*/1,
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benchmark::utils::CheckNEONFP16ARITH);
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}
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static void f16_gemm_1x16__asm_aarch64_neonfp16arith_ld64(benchmark::State& state, const char* net) {
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f16_gemm(state,
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xnn_f16_gemm_minmax_ukernel_1x16__asm_aarch64_neonfp16arith_ld64,
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xnn_init_f16_minmax_scalar_params,
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/*mr=*/1, /*nr=*/16, /*kr=*/1, /*sr=*/1,
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benchmark::utils::CheckNEONFP16ARITH);
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}
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static void f16_gemm_4x16__asm_aarch64_neonfp16arith_ld32(benchmark::State& state, const char* net) {
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f16_gemm(state,
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xnn_f16_gemm_minmax_ukernel_4x16__asm_aarch64_neonfp16arith_ld32,
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xnn_init_f16_minmax_scalar_params,
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/*mr=*/4, /*nr=*/16, /*kr=*/1, /*sr=*/1,
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benchmark::utils::CheckNEONFP16ARITH);
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}
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static void f16_gemm_4x16__asm_aarch64_neonfp16arith_ld64(benchmark::State& state, const char* net) {
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f16_gemm(state,
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xnn_f16_gemm_minmax_ukernel_4x16__asm_aarch64_neonfp16arith_ld64,
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xnn_init_f16_minmax_scalar_params,
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/*mr=*/4, /*nr=*/16, /*kr=*/1, /*sr=*/1,
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benchmark::utils::CheckNEONFP16ARITH);
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}
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static void f16_gemm_6x16__asm_aarch64_neonfp16arith_cortex_a55(benchmark::State& state, const char* net) {
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f16_gemm(state,
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xnn_f16_gemm_minmax_ukernel_6x16__asm_aarch64_neonfp16arith_cortex_a55,
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xnn_init_f16_minmax_scalar_params,
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/*mr=*/6, /*nr=*/16, /*kr=*/1, /*sr=*/1,
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benchmark::utils::CheckNEONFP16ARITH);
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}
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static void f16_gemm_6x16__asm_aarch64_neonfp16arith_cortex_a55r0(benchmark::State& state, const char* net) {
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f16_gemm(state,
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xnn_f16_gemm_minmax_ukernel_6x16__asm_aarch64_neonfp16arith_cortex_a55r0,
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xnn_init_f16_minmax_scalar_params,
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/*mr=*/6, /*nr=*/16, /*kr=*/1, /*sr=*/1,
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benchmark::utils::CheckNEONFP16ARITH);
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}
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static void f16_gemm_6x16__asm_aarch64_neonfp16arith_cortex_a75(benchmark::State& state, const char* net) {
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f16_gemm(state,
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xnn_f16_gemm_minmax_ukernel_6x16__asm_aarch64_neonfp16arith_cortex_a75,
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xnn_init_f16_minmax_scalar_params,
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/*mr=*/6, /*nr=*/16, /*kr=*/1, /*sr=*/1,
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benchmark::utils::CheckNEONFP16ARITH);
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}
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static void f16_gemm_6x16__asm_aarch64_neonfp16arith_ld32(benchmark::State& state, const char* net) {
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f16_gemm(state,
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xnn_f16_gemm_minmax_ukernel_6x16__asm_aarch64_neonfp16arith_ld32,
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xnn_init_f16_minmax_scalar_params,
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/*mr=*/6, /*nr=*/16, /*kr=*/1, /*sr=*/1,
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benchmark::utils::CheckNEONFP16ARITH);
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}
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static void f16_gemm_6x16__asm_aarch64_neonfp16arith_ld64(benchmark::State& state, const char* net) {
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f16_gemm(state,
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xnn_f16_gemm_minmax_ukernel_6x16__asm_aarch64_neonfp16arith_ld64,
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xnn_init_f16_minmax_scalar_params,
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/*mr=*/6, /*nr=*/16, /*kr=*/1, /*sr=*/1,
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benchmark::utils::CheckNEONFP16ARITH);
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}
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static void f16_gemm_1x8__asm_aarch64_neonfp16arith_ld64(benchmark::State& state, const char* net) {
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f16_gemm(state,
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xnn_f16_gemm_minmax_ukernel_1x8__asm_aarch64_neonfp16arith_ld64,
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xnn_init_f16_minmax_scalar_params,
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/*mr=*/1, /*nr=*/8, /*kr=*/1, /*sr=*/1,
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benchmark::utils::CheckNEONFP16ARITH);
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}
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static void f16_gemm_4x8__asm_aarch64_neonfp16arith_ld64(benchmark::State& state, const char* net) {
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f16_gemm(state,
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xnn_f16_gemm_minmax_ukernel_4x8__asm_aarch64_neonfp16arith_ld64,
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xnn_init_f16_minmax_scalar_params,
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/*mr=*/4, /*nr=*/8, /*kr=*/1, /*sr=*/1,
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benchmark::utils::CheckNEONFP16ARITH);
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}
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static void f16_gemm_6x8__asm_aarch64_neonfp16arith_ld64(benchmark::State& state, const char* net) {
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f16_gemm(state,
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xnn_f16_gemm_minmax_ukernel_6x8__asm_aarch64_neonfp16arith_ld64,
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xnn_init_f16_minmax_scalar_params,
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/*mr=*/6, /*nr=*/8, /*kr=*/1, /*sr=*/1,
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benchmark::utils::CheckNEONFP16ARITH);
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}
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static void f16_gemm_8x8__asm_aarch64_neonfp16arith_ld64(benchmark::State& state, const char* net) {
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f16_gemm(state,
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xnn_f16_gemm_minmax_ukernel_8x8__asm_aarch64_neonfp16arith_ld64,
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xnn_init_f16_minmax_scalar_params,
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/*mr=*/8, /*nr=*/8, /*kr=*/1, /*sr=*/1,
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benchmark::utils::CheckNEONFP16ARITH);
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}
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BENCHMARK_GEMM(f16_gemm_1x16__asm_aarch64_neonfp16arith_ld32)
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BENCHMARK_GEMM(f16_gemm_1x16__asm_aarch64_neonfp16arith_ld64)
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BENCHMARK_GEMM(f16_gemm_4x16__asm_aarch64_neonfp16arith_ld32)
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BENCHMARK_GEMM(f16_gemm_4x16__asm_aarch64_neonfp16arith_ld64)
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BENCHMARK_GEMM(f16_gemm_6x16__asm_aarch64_neonfp16arith_cortex_a55)
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BENCHMARK_GEMM(f16_gemm_6x16__asm_aarch64_neonfp16arith_cortex_a55r0)
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BENCHMARK_GEMM(f16_gemm_6x16__asm_aarch64_neonfp16arith_cortex_a75)
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BENCHMARK_GEMM(f16_gemm_6x16__asm_aarch64_neonfp16arith_ld32)
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BENCHMARK_GEMM(f16_gemm_6x16__asm_aarch64_neonfp16arith_ld64)
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BENCHMARK_GEMM(f16_gemm_1x8__asm_aarch64_neonfp16arith_ld64)
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BENCHMARK_GEMM(f16_gemm_4x8__asm_aarch64_neonfp16arith_ld64)
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BENCHMARK_GEMM(f16_gemm_6x8__asm_aarch64_neonfp16arith_ld64)
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BENCHMARK_GEMM(f16_gemm_8x8__asm_aarch64_neonfp16arith_ld64)
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#endif // XNN_ARCH_ARM64 && XNN_ENABLE_ASSEMBLY
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#if XNN_ENABLE_ARM_FP16_VECTOR && (XNN_ARCH_ARM || XNN_ARCH_ARM64)
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static void f16_gemm_1x8__neonfp16arith_ld64(benchmark::State& state, const char* net) {
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f16_gemm(state,
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xnn_f16_gemm_minmax_ukernel_1x8__neonfp16arith_ld64,
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xnn_init_f16_minmax_scalar_params,
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/*mr=*/1, /*nr=*/8, /*kr=*/1, /*sr=*/1,
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benchmark::utils::CheckNEONFP16ARITH);
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}
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static void f16_gemm_4x8__neonfp16arith_ld64(benchmark::State& state, const char* net) {
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f16_gemm(state,
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xnn_f16_gemm_minmax_ukernel_4x8__neonfp16arith_ld64,
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xnn_init_f16_minmax_scalar_params,
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/*mr=*/4, /*nr=*/8, /*kr=*/1, /*sr=*/1,
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benchmark::utils::CheckNEONFP16ARITH);
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}
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static void f16_gemm_6x8__neonfp16arith_ld64(benchmark::State& state, const char* net) {
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f16_gemm(state,
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xnn_f16_gemm_minmax_ukernel_6x8__neonfp16arith_ld64,
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xnn_init_f16_minmax_scalar_params,
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/*mr=*/6, /*nr=*/8, /*kr=*/1, /*sr=*/1,
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benchmark::utils::CheckNEONFP16ARITH);
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}
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static void f16_gemm_8x8__neonfp16arith_ld64(benchmark::State& state, const char* net) {
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f16_gemm(state,
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xnn_f16_gemm_minmax_ukernel_8x8__neonfp16arith_ld64,
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xnn_init_f16_minmax_scalar_params,
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/*mr=*/8, /*nr=*/8, /*kr=*/1, /*sr=*/1,
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benchmark::utils::CheckNEONFP16ARITH);
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}
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static void f16_gemm_1x16__neonfp16arith_ld64(benchmark::State& state, const char* net) {
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f16_gemm(state,
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xnn_f16_gemm_minmax_ukernel_1x16__neonfp16arith_ld64,
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xnn_init_f16_minmax_scalar_params,
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/*mr=*/1, /*nr=*/16, /*kr=*/1, /*sr=*/1,
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benchmark::utils::CheckNEONFP16ARITH);
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}
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static void f16_gemm_4x16__neonfp16arith_ld64(benchmark::State& state, const char* net) {
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f16_gemm(state,
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xnn_f16_gemm_minmax_ukernel_4x16__neonfp16arith_ld64,
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xnn_init_f16_minmax_scalar_params,
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/*mr=*/4, /*nr=*/16, /*kr=*/1, /*sr=*/1,
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benchmark::utils::CheckNEONFP16ARITH);
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}
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static void f16_gemm_6x16__neonfp16arith_ld64(benchmark::State& state, const char* net) {
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f16_gemm(state,
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xnn_f16_gemm_minmax_ukernel_6x16__neonfp16arith_ld64,
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xnn_init_f16_minmax_scalar_params,
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/*mr=*/6, /*nr=*/16, /*kr=*/1, /*sr=*/1,
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benchmark::utils::CheckNEONFP16ARITH);
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}
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static void f16_gemm_8x16__neonfp16arith_ld64(benchmark::State& state, const char* net) {
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f16_gemm(state,
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xnn_f16_gemm_minmax_ukernel_8x16__neonfp16arith_ld64,
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xnn_init_f16_minmax_scalar_params,
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/*mr=*/8, /*nr=*/16, /*kr=*/1, /*sr=*/1,
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benchmark::utils::CheckNEONFP16ARITH);
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}
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BENCHMARK_GEMM(f16_gemm_1x8__neonfp16arith_ld64)
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BENCHMARK_GEMM(f16_gemm_4x8__neonfp16arith_ld64)
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BENCHMARK_GEMM(f16_gemm_6x8__neonfp16arith_ld64)
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BENCHMARK_GEMM(f16_gemm_8x8__neonfp16arith_ld64)
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BENCHMARK_GEMM(f16_gemm_1x16__neonfp16arith_ld64)
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BENCHMARK_GEMM(f16_gemm_4x16__neonfp16arith_ld64)
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BENCHMARK_GEMM(f16_gemm_6x16__neonfp16arith_ld64)
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BENCHMARK_GEMM(f16_gemm_8x16__neonfp16arith_ld64)
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#endif // XNN_ENABLE_ARM_FP16_VECTOR && (XNN_ARCH_ARM || XNN_ARCH_ARM64)
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#if XNN_ARCH_X86 || XNN_ARCH_X86_64
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static void f16_gemm_1x8__avx2_broadcast(benchmark::State& state, const char* net) {
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f16_gemm(state,
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xnn_f16_gemm_minmax_ukernel_1x8__avx2_broadcast,
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xnn_init_f16_minmax_scalar_params,
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/*mr=*/1, /*nr=*/8, /*kr=*/1, /*sr=*/1,
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benchmark::utils::CheckAVX2);
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}
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static void f16_gemm_4x8__avx2_broadcast(benchmark::State& state, const char* net) {
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f16_gemm(state,
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xnn_f16_gemm_minmax_ukernel_4x8__avx2_broadcast,
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xnn_init_f16_minmax_scalar_params,
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/*mr=*/4, /*nr=*/8, /*kr=*/1, /*sr=*/1,
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benchmark::utils::CheckAVX2);
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}
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static void f16_gemm_5x8__avx2_broadcast(benchmark::State& state, const char* net) {
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f16_gemm(state,
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xnn_f16_gemm_minmax_ukernel_5x8__avx2_broadcast,
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xnn_init_f16_minmax_scalar_params,
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/*mr=*/5, /*nr=*/8, /*kr=*/1, /*sr=*/1,
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benchmark::utils::CheckAVX2);
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}
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static void f16_gemm_6x8__avx2_broadcast(benchmark::State& state, const char* net) {
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f16_gemm(state,
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xnn_f16_gemm_minmax_ukernel_6x8__avx2_broadcast,
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xnn_init_f16_minmax_scalar_params,
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/*mr=*/6, /*nr=*/8, /*kr=*/1, /*sr=*/1,
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benchmark::utils::CheckAVX2);
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}
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static void f16_gemm_7x8__avx2_broadcast(benchmark::State& state, const char* net) {
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f16_gemm(state,
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xnn_f16_gemm_minmax_ukernel_7x8__avx2_broadcast,
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xnn_init_f16_minmax_scalar_params,
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/*mr=*/7, /*nr=*/8, /*kr=*/1, /*sr=*/1,
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benchmark::utils::CheckAVX2);
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}
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static void f16_gemm_1x16__avx2_broadcast(benchmark::State& state, const char* net) {
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f16_gemm(state,
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xnn_f16_gemm_minmax_ukernel_1x16__avx2_broadcast,
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xnn_init_f16_minmax_scalar_params,
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/*mr=*/1, /*nr=*/16, /*kr=*/1, /*sr=*/1,
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benchmark::utils::CheckAVX2);
|
|
}
|
|
static void f16_gemm_3x16__avx2_broadcast(benchmark::State& state, const char* net) {
|
|
f16_gemm(state,
|
|
xnn_f16_gemm_minmax_ukernel_3x16__avx2_broadcast,
|
|
xnn_init_f16_minmax_scalar_params,
|
|
/*mr=*/3, /*nr=*/16, /*kr=*/1, /*sr=*/1,
|
|
benchmark::utils::CheckAVX2);
|
|
}
|
|
static void f16_gemm_4x16__avx2_broadcast(benchmark::State& state, const char* net) {
|
|
f16_gemm(state,
|
|
xnn_f16_gemm_minmax_ukernel_4x16__avx2_broadcast,
|
|
xnn_init_f16_minmax_scalar_params,
|
|
/*mr=*/4, /*nr=*/16, /*kr=*/1, /*sr=*/1,
|
|
benchmark::utils::CheckAVX2);
|
|
}
|
|
static void f16_gemm_5x16__avx2_broadcast(benchmark::State& state, const char* net) {
|
|
f16_gemm(state,
|
|
xnn_f16_gemm_minmax_ukernel_5x16__avx2_broadcast,
|
|
xnn_init_f16_minmax_scalar_params,
|
|
/*mr=*/5, /*nr=*/16, /*kr=*/1, /*sr=*/1,
|
|
benchmark::utils::CheckAVX2);
|
|
}
|
|
|
|
BENCHMARK_GEMM(f16_gemm_1x8__avx2_broadcast)
|
|
BENCHMARK_GEMM(f16_gemm_4x8__avx2_broadcast)
|
|
BENCHMARK_GEMM(f16_gemm_5x8__avx2_broadcast)
|
|
BENCHMARK_GEMM(f16_gemm_6x8__avx2_broadcast)
|
|
BENCHMARK_GEMM(f16_gemm_7x8__avx2_broadcast)
|
|
BENCHMARK_GEMM(f16_gemm_1x16__avx2_broadcast)
|
|
BENCHMARK_GEMM(f16_gemm_3x16__avx2_broadcast)
|
|
BENCHMARK_GEMM(f16_gemm_4x16__avx2_broadcast)
|
|
BENCHMARK_GEMM(f16_gemm_5x16__avx2_broadcast)
|
|
#endif // XNN_ARCH_X86 || XNN_ARCH_X86_64
|
|
|
|
#ifndef XNNPACK_BENCHMARK_NO_MAIN
|
|
BENCHMARK_MAIN();
|
|
#endif
|