test / bench /f16-dwconv2d-chw.cc
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// 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 <cmath>
#include <functional>
#include <random>
#include <vector>
#include <benchmark/benchmark.h>
#include <fp16/fp16.h>
#include "bench/dwconv.h"
#include "bench/utils.h"
#include <xnnpack.h>
#include <xnnpack/aligned-allocator.h>
#include <xnnpack/common.h>
#include <xnnpack/dwconv.h>
#include <xnnpack/indirection.h>
#include <xnnpack/microfnptr.h>
#include <xnnpack/microparams-init.h>
#include <xnnpack/operator.h>
#include <xnnpack/pack.h>
static void f16_dwconv2d_chw(benchmark::State& state,
xnn_f16_dwconv2d_chw_ukernel_fn dwconv,
xnn_init_f16_chw_params_fn init_params,
uint32_t kh, uint32_t kw, uint32_t pw, uint32_t s,
benchmark::utils::IsaCheckFunction isa_check = nullptr)
{
if ((isa_check != nullptr) && !isa_check(state)) {
return;
}
const size_t input_height = state.range(0);
const size_t input_width = state.range(1);
const size_t kernel_height = state.range(2);
const size_t kernel_width = state.range(3);
const size_t padding_height = state.range(4);
const size_t padding_width = state.range(5);
const size_t subsampling = state.range(6);
const size_t dilation = state.range(7);
const size_t channels = state.range(8);
if (kernel_height != kh) {
state.SkipWithError("kernel height mismatch");
return;
}
if (kernel_width != kw) {
state.SkipWithError("kernel width mismatch");
return;
}
if (subsampling != s) {
state.SkipWithError("subsampling mismatch");
return;
}
if (padding_width % 2 != 0 || padding_width / 2 != pw) {
state.SkipWithError("padding width mismatch");
return;
}
if (dilation != 1) {
state.SkipWithError("unsupported dilation");
return;
}
std::random_device random_device;
auto rng = std::mt19937(random_device());
auto f32rng = std::bind(std::uniform_real_distribution<float>(0.0f, 1.0f), std::ref(rng));
auto f16rng = std::bind(fp16_ieee_from_fp32_value, f32rng);
const size_t effective_kernel_height = (kernel_height - 1) * dilation + 1;
const size_t effective_kernel_width = (kernel_width - 1) * dilation + 1;
const size_t output_height = (input_height + padding_height - effective_kernel_height) / subsampling + 1;
const size_t output_width = (input_width + padding_width - effective_kernel_width) / subsampling + 1;
const size_t inputSize = (input_height + padding_height) * input_width;
const size_t kernel_size = kernel_height * kernel_width;
const size_t output_size = output_height * output_width;
std::vector<uint16_t> input(inputSize * channels + 2 * XNN_EXTRA_BYTES);
std::generate(input.begin(), input.end(), std::ref(f16rng));
std::vector<uint16_t> bias(channels);
std::generate(bias.begin(), bias.end(), std::ref(f16rng));
std::vector<uint16_t> kernel(channels * kernel_size);
std::generate(kernel.begin(), kernel.end(), std::ref(f16rng));
std::vector<uint16_t> zero(input_width + padding_width);
const size_t w_elements = (kernel_size + 1) * channels;
const size_t o_elements = output_size * channels;
const size_t num_buffers = 1 +
benchmark::utils::DivideRoundUp<size_t>(benchmark::utils::GetMaxCacheSize(),
sizeof(uint16_t) * (w_elements + o_elements));
std::vector<uint16_t, AlignedAllocator<uint16_t, 64>> packed_weights(w_elements * num_buffers);
std::fill(packed_weights.begin(), packed_weights.end(), UINT16_C(0));
for (size_t c = 0; c < channels; c++) {
packed_weights[c * kernel_size + c] = bias[c];
for (size_t i = 0; i < kernel_size; i++) {
packed_weights[c * kernel_size + c + 1 + i] = kernel[c * kernel_size + i];
}
}
for (size_t n = 1; n < num_buffers; n++) {
std::copy(packed_weights.cbegin(), packed_weights.cbegin() + w_elements, packed_weights.begin() + n * w_elements);
}
std::vector<uint16_t> output(o_elements * num_buffers);
std::fill(output.begin(), output.end(), UINT16_C(0x7E00) /* NaN */);
xnn_f16_chw_params chw_params;
init_params(&chw_params,
input_width, 0xFC00 /* -inf */, 0x7C00 /* inf */);
size_t buffer_index = 0;
for (auto _ : state) {
state.PauseTiming();
benchmark::utils::PrefetchToL1(input.data(), input.size() * sizeof(uint16_t));
buffer_index = (buffer_index + 1) % num_buffers;
state.ResumeTiming();
for (uint32_t channel = 0; channel < channels; channel++) {
dwconv(
input_height, input_width * sizeof(uint16_t),
input.data() + channel * inputSize,
packed_weights.data() + channel * (kernel_size + 1) + buffer_index * w_elements,
zero.data(),
output.data() + channel * output_size + buffer_index * o_elements,
padding_height / 2, // padding_top
&chw_params);
}
}
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 * output_size * channels * kernel_size,
benchmark::Counter::kIsRate);
state.counters["bytes"] = benchmark::Counter(
uint64_t(state.iterations()) * (output_size + inputSize + kernel_size + 1 /* bias */) * channels * sizeof(uint16_t),
benchmark::Counter::kIsRate);
}
#if XNN_ENABLE_ARM_FP16_VECTOR && (XNN_ARCH_ARM || XNN_ARCH_ARM64)
static void dwconv2d_chw_3x3p1__neonfp16arith_1x8(benchmark::State& state, const char* net) {
f16_dwconv2d_chw(state,
xnn_f16_dwconv2d_chw_ukernel_3x3p1__neonfp16arith_1x8,
xnn_init_f16_chw_neonfp16arith_stride1_params,
3 /* kernel height */, 3 /* kernel width */, 1 /* width padding */, 1 /* stride */,
benchmark::utils::CheckNEONFP16ARITH);
}
static void dwconv2d_chw_3x3p1__neonfp16arith_2x8(benchmark::State& state, const char* net) {
f16_dwconv2d_chw(state,
xnn_f16_dwconv2d_chw_ukernel_3x3p1__neonfp16arith_2x8,
xnn_init_f16_chw_neonfp16arith_stride1_params,
3 /* kernel height */, 3 /* kernel width */, 1 /* width padding */, 1 /* stride */,
benchmark::utils::CheckNEONFP16ARITH);
}
static void dwconv2d_chw_3x3p1__neonfp16arith_3x8(benchmark::State& state, const char* net) {
f16_dwconv2d_chw(state,
xnn_f16_dwconv2d_chw_ukernel_3x3p1__neonfp16arith_3x8,
xnn_init_f16_chw_neonfp16arith_stride1_params,
3 /* kernel height */, 3 /* kernel width */, 1 /* width padding */, 1 /* stride */,
benchmark::utils::CheckNEONFP16ARITH);
}
static void dwconv2d_chw_3x3p1__neonfp16arith_4x8(benchmark::State& state, const char* net) {
f16_dwconv2d_chw(state,
xnn_f16_dwconv2d_chw_ukernel_3x3p1__neonfp16arith_4x8,
xnn_init_f16_chw_neonfp16arith_stride1_params,
3 /* kernel height */, 3 /* kernel width */, 1 /* width padding */, 1 /* stride */,
benchmark::utils::CheckNEONFP16ARITH);
}
static void dwconv2d_chw_3x3p1__neonfp16arith_5x8(benchmark::State& state, const char* net) {
f16_dwconv2d_chw(state,
xnn_f16_dwconv2d_chw_ukernel_3x3p1__neonfp16arith_5x8,
xnn_init_f16_chw_neonfp16arith_stride1_params,
3 /* kernel height */, 3 /* kernel width */, 1 /* width padding */, 1 /* stride */,
benchmark::utils::CheckNEONFP16ARITH);
}
static void dwconv2d_chw_3x3p1__neonfp16arith_6x8(benchmark::State& state, const char* net) {
f16_dwconv2d_chw(state,
xnn_f16_dwconv2d_chw_ukernel_3x3p1__neonfp16arith_6x8,
xnn_init_f16_chw_neonfp16arith_stride1_params,
3 /* kernel height */, 3 /* kernel width */, 1 /* width padding */, 1 /* stride */,
benchmark::utils::CheckNEONFP16ARITH);
}
static void dwconv2d_chw_3x3p1__neonfp16arith_1x8_acc2(benchmark::State& state, const char* net) {
f16_dwconv2d_chw(state,
xnn_f16_dwconv2d_chw_ukernel_3x3p1__neonfp16arith_1x8_acc2,
xnn_init_f16_chw_neonfp16arith_stride1_params,
3 /* kernel height */, 3 /* kernel width */, 1 /* width padding */, 1 /* stride */,
benchmark::utils::CheckNEONFP16ARITH);
}
static void dwconv2d_chw_3x3p1__neonfp16arith_1x8_acc3(benchmark::State& state, const char* net) {
f16_dwconv2d_chw(state,
xnn_f16_dwconv2d_chw_ukernel_3x3p1__neonfp16arith_1x8_acc3,
xnn_init_f16_chw_neonfp16arith_stride1_params,
3 /* kernel height */, 3 /* kernel width */, 1 /* width padding */, 1 /* stride */,
benchmark::utils::CheckNEONFP16ARITH);
}
static void dwconv2d_chw_3x3p1__neonfp16arith_1x8_acc4(benchmark::State& state, const char* net) {
f16_dwconv2d_chw(state,
xnn_f16_dwconv2d_chw_ukernel_3x3p1__neonfp16arith_1x8_acc4,
xnn_init_f16_chw_neonfp16arith_stride1_params,
3 /* kernel height */, 3 /* kernel width */, 1 /* width padding */, 1 /* stride */,
benchmark::utils::CheckNEONFP16ARITH);
}
static void dwconv2d_chw_3x3p1__neonfp16arith_2x8_acc2(benchmark::State& state, const char* net) {
f16_dwconv2d_chw(state,
xnn_f16_dwconv2d_chw_ukernel_3x3p1__neonfp16arith_2x8_acc2,
xnn_init_f16_chw_neonfp16arith_stride1_params,
3 /* kernel height */, 3 /* kernel width */, 1 /* width padding */, 1 /* stride */,
benchmark::utils::CheckNEONFP16ARITH);
}
static void dwconv2d_chw_3x3s2p1__neonfp16arith_1x8(benchmark::State& state, const char* net) {
f16_dwconv2d_chw(state,
xnn_f16_dwconv2d_chw_ukernel_3x3s2p1__neonfp16arith_1x8,
xnn_init_f16_chw_neonfp16arith_stride2_params,
3 /* kernel height */, 3 /* kernel width */, 1 /* width padding */, 2 /* stride */,
benchmark::utils::CheckNEONFP16ARITH);
}
static void dwconv2d_chw_3x3s2p1__neonfp16arith_2x8(benchmark::State& state, const char* net) {
f16_dwconv2d_chw(state,
xnn_f16_dwconv2d_chw_ukernel_3x3s2p1__neonfp16arith_2x8,
xnn_init_f16_chw_neonfp16arith_stride2_params,
3 /* kernel height */, 3 /* kernel width */, 1 /* width padding */, 2 /* stride */,
benchmark::utils::CheckNEONFP16ARITH);
}
static void dwconv2d_chw_3x3s2p1__neonfp16arith_3x8(benchmark::State& state, const char* net) {
f16_dwconv2d_chw(state,
xnn_f16_dwconv2d_chw_ukernel_3x3s2p1__neonfp16arith_3x8,
xnn_init_f16_chw_neonfp16arith_stride2_params,
3 /* kernel height */, 3 /* kernel width */, 1 /* width padding */, 2 /* stride */,
benchmark::utils::CheckNEONFP16ARITH);
}
static void dwconv2d_chw_3x3s2p1__neonfp16arith_4x8(benchmark::State& state, const char* net) {
f16_dwconv2d_chw(state,
xnn_f16_dwconv2d_chw_ukernel_3x3s2p1__neonfp16arith_4x8,
xnn_init_f16_chw_neonfp16arith_stride2_params,
3 /* kernel height */, 3 /* kernel width */, 1 /* width padding */, 2 /* stride */,
benchmark::utils::CheckNEONFP16ARITH);
}
static void dwconv2d_chw_3x3s2p1__neonfp16arith_1x8_acc2(benchmark::State& state, const char* net) {
f16_dwconv2d_chw(state,
xnn_f16_dwconv2d_chw_ukernel_3x3s2p1__neonfp16arith_1x8_acc2,
xnn_init_f16_chw_neonfp16arith_stride2_params,
3 /* kernel height */, 3 /* kernel width */, 1 /* width padding */, 2 /* stride */,
benchmark::utils::CheckNEONFP16ARITH);
}
static void dwconv2d_chw_3x3s2p1__neonfp16arith_1x8_acc3(benchmark::State& state, const char* net) {
f16_dwconv2d_chw(state,
xnn_f16_dwconv2d_chw_ukernel_3x3s2p1__neonfp16arith_1x8_acc3,
xnn_init_f16_chw_neonfp16arith_stride2_params,
3 /* kernel height */, 3 /* kernel width */, 1 /* width padding */, 2 /* stride */,
benchmark::utils::CheckNEONFP16ARITH);
}
static void dwconv2d_chw_3x3s2p1__neonfp16arith_1x8_acc4(benchmark::State& state, const char* net) {
f16_dwconv2d_chw(state,
xnn_f16_dwconv2d_chw_ukernel_3x3s2p1__neonfp16arith_1x8_acc4,
xnn_init_f16_chw_neonfp16arith_stride2_params,
3 /* kernel height */, 3 /* kernel width */, 1 /* width padding */, 2 /* stride */,
benchmark::utils::CheckNEONFP16ARITH);
}
static void dwconv2d_chw_3x3s2p1__neonfp16arith_2x8_acc2(benchmark::State& state, const char* net) {
f16_dwconv2d_chw(state,
xnn_f16_dwconv2d_chw_ukernel_3x3s2p1__neonfp16arith_2x8_acc2,
xnn_init_f16_chw_neonfp16arith_stride2_params,
3 /* kernel height */, 3 /* kernel width */, 1 /* width padding */, 2 /* stride */,
benchmark::utils::CheckNEONFP16ARITH);
}
static void dwconv2d_chw_5x5p2__neonfp16arith_1x8(benchmark::State& state, const char* net) {
f16_dwconv2d_chw(state,
xnn_f16_dwconv2d_chw_ukernel_5x5p2__neonfp16arith_1x8,
xnn_init_f16_chw_neonfp16arith_stride1_params,
5 /* kernel height */, 5 /* kernel width */, 2 /* width padding */, 1 /* stride */,
benchmark::utils::CheckNEONFP16ARITH);
}
static void dwconv2d_chw_5x5p2__neonfp16arith_2x8(benchmark::State& state, const char* net) {
f16_dwconv2d_chw(state,
xnn_f16_dwconv2d_chw_ukernel_5x5p2__neonfp16arith_2x8,
xnn_init_f16_chw_neonfp16arith_stride1_params,
5 /* kernel height */, 5 /* kernel width */, 2 /* width padding */, 1 /* stride */,
benchmark::utils::CheckNEONFP16ARITH);
}
static void dwconv2d_chw_5x5p2__neonfp16arith_3x8(benchmark::State& state, const char* net) {
f16_dwconv2d_chw(state,
xnn_f16_dwconv2d_chw_ukernel_5x5p2__neonfp16arith_3x8,
xnn_init_f16_chw_neonfp16arith_stride1_params,
5 /* kernel height */, 5 /* kernel width */, 2 /* width padding */, 1 /* stride */,
benchmark::utils::CheckNEONFP16ARITH);
}
static void dwconv2d_chw_5x5p2__neonfp16arith_4x8(benchmark::State& state, const char* net) {
f16_dwconv2d_chw(state,
xnn_f16_dwconv2d_chw_ukernel_5x5p2__neonfp16arith_4x8,
xnn_init_f16_chw_neonfp16arith_stride1_params,
5 /* kernel height */, 5 /* kernel width */, 2 /* width padding */, 1 /* stride */,
benchmark::utils::CheckNEONFP16ARITH);
}
static void dwconv2d_chw_5x5p2__neonfp16arith_5x8(benchmark::State& state, const char* net) {
f16_dwconv2d_chw(state,
xnn_f16_dwconv2d_chw_ukernel_5x5p2__neonfp16arith_5x8,
xnn_init_f16_chw_neonfp16arith_stride1_params,
5 /* kernel height */, 5 /* kernel width */, 2 /* width padding */, 1 /* stride */,
benchmark::utils::CheckNEONFP16ARITH);
}
static void dwconv2d_chw_5x5p2__neonfp16arith_1x8_acc2(benchmark::State& state, const char* net) {
f16_dwconv2d_chw(state,
xnn_f16_dwconv2d_chw_ukernel_5x5p2__neonfp16arith_1x8_acc2,
xnn_init_f16_chw_neonfp16arith_stride1_params,
5 /* kernel height */, 5 /* kernel width */, 2 /* width padding */, 1 /* stride */,
benchmark::utils::CheckNEONFP16ARITH);
}
static void dwconv2d_chw_5x5p2__neonfp16arith_1x8_acc3(benchmark::State& state, const char* net) {
f16_dwconv2d_chw(state,
xnn_f16_dwconv2d_chw_ukernel_5x5p2__neonfp16arith_1x8_acc3,
xnn_init_f16_chw_neonfp16arith_stride1_params,
5 /* kernel height */, 5 /* kernel width */, 2 /* width padding */, 1 /* stride */,
benchmark::utils::CheckNEONFP16ARITH);
}
static void dwconv2d_chw_5x5p2__neonfp16arith_1x8_acc4(benchmark::State& state, const char* net) {
f16_dwconv2d_chw(state,
xnn_f16_dwconv2d_chw_ukernel_5x5p2__neonfp16arith_1x8_acc4,
xnn_init_f16_chw_neonfp16arith_stride1_params,
5 /* kernel height */, 5 /* kernel width */, 2 /* width padding */, 1 /* stride */,
benchmark::utils::CheckNEONFP16ARITH);
}
static void dwconv2d_chw_5x5p2__neonfp16arith_1x8_acc5(benchmark::State& state, const char* net) {
f16_dwconv2d_chw(state,
xnn_f16_dwconv2d_chw_ukernel_5x5p2__neonfp16arith_1x8_acc5,
xnn_init_f16_chw_neonfp16arith_stride1_params,
5 /* kernel height */, 5 /* kernel width */, 2 /* width padding */, 1 /* stride */,
benchmark::utils::CheckNEONFP16ARITH);
}
static void dwconv2d_chw_5x5p2__neonfp16arith_2x8_acc2(benchmark::State& state, const char* net) {
f16_dwconv2d_chw(state,
xnn_f16_dwconv2d_chw_ukernel_5x5p2__neonfp16arith_2x8_acc2,
xnn_init_f16_chw_neonfp16arith_stride1_params,
5 /* kernel height */, 5 /* kernel width */, 2 /* width padding */, 1 /* stride */,
benchmark::utils::CheckNEONFP16ARITH);
}
static void dwconv2d_chw_5x5p2__neonfp16arith_2x8_acc3(benchmark::State& state, const char* net) {
f16_dwconv2d_chw(state,
xnn_f16_dwconv2d_chw_ukernel_5x5p2__neonfp16arith_2x8_acc3,
xnn_init_f16_chw_neonfp16arith_stride1_params,
5 /* kernel height */, 5 /* kernel width */, 2 /* width padding */, 1 /* stride */,
benchmark::utils::CheckNEONFP16ARITH);
}
static void dwconv2d_chw_5x5p2__neonfp16arith_3x8_acc2(benchmark::State& state, const char* net) {
f16_dwconv2d_chw(state,
xnn_f16_dwconv2d_chw_ukernel_5x5p2__neonfp16arith_3x8_acc2,
xnn_init_f16_chw_neonfp16arith_stride1_params,
5 /* kernel height */, 5 /* kernel width */, 2 /* width padding */, 1 /* stride */,
benchmark::utils::CheckNEONFP16ARITH);
}
static void dwconv2d_chw_5x5p2__neonfp16arith_4x8_acc2(benchmark::State& state, const char* net) {
f16_dwconv2d_chw(state,
xnn_f16_dwconv2d_chw_ukernel_5x5p2__neonfp16arith_4x8_acc2,
xnn_init_f16_chw_neonfp16arith_stride1_params,
5 /* kernel height */, 5 /* kernel width */, 2 /* width padding */, 1 /* stride */,
benchmark::utils::CheckNEONFP16ARITH);
}
static void dwconv2d_chw_5x5s2p2__neonfp16arith_1x8(benchmark::State& state, const char* net) {
f16_dwconv2d_chw(state,
xnn_f16_dwconv2d_chw_ukernel_5x5s2p2__neonfp16arith_1x8,
xnn_init_f16_chw_neonfp16arith_stride2_params,
5 /* kernel height */, 5 /* kernel width */, 2 /* width padding */, 2 /* stride */,
benchmark::utils::CheckNEONFP16ARITH);
}
static void dwconv2d_chw_5x5s2p2__neonfp16arith_2x8(benchmark::State& state, const char* net) {
f16_dwconv2d_chw(state,
xnn_f16_dwconv2d_chw_ukernel_5x5s2p2__neonfp16arith_2x8,
xnn_init_f16_chw_neonfp16arith_stride2_params,
5 /* kernel height */, 5 /* kernel width */, 2 /* width padding */, 2 /* stride */,
benchmark::utils::CheckNEONFP16ARITH);
}
static void dwconv2d_chw_5x5s2p2__neonfp16arith_3x8(benchmark::State& state, const char* net) {
f16_dwconv2d_chw(state,
xnn_f16_dwconv2d_chw_ukernel_5x5s2p2__neonfp16arith_3x8,
xnn_init_f16_chw_neonfp16arith_stride2_params,
5 /* kernel height */, 5 /* kernel width */, 2 /* width padding */, 2 /* stride */,
benchmark::utils::CheckNEONFP16ARITH);
}
static void dwconv2d_chw_5x5s2p2__neonfp16arith_1x8_acc2(benchmark::State& state, const char* net) {
f16_dwconv2d_chw(state,
xnn_f16_dwconv2d_chw_ukernel_5x5s2p2__neonfp16arith_1x8_acc2,
xnn_init_f16_chw_neonfp16arith_stride2_params,
5 /* kernel height */, 5 /* kernel width */, 2 /* width padding */, 2 /* stride */,
benchmark::utils::CheckNEONFP16ARITH);
}
static void dwconv2d_chw_5x5s2p2__neonfp16arith_1x8_acc3(benchmark::State& state, const char* net) {
f16_dwconv2d_chw(state,
xnn_f16_dwconv2d_chw_ukernel_5x5s2p2__neonfp16arith_1x8_acc3,
xnn_init_f16_chw_neonfp16arith_stride2_params,
5 /* kernel height */, 5 /* kernel width */, 2 /* width padding */, 2 /* stride */,
benchmark::utils::CheckNEONFP16ARITH);
}
static void dwconv2d_chw_5x5s2p2__neonfp16arith_1x8_acc4(benchmark::State& state, const char* net) {
f16_dwconv2d_chw(state,
xnn_f16_dwconv2d_chw_ukernel_5x5s2p2__neonfp16arith_1x8_acc4,
xnn_init_f16_chw_neonfp16arith_stride2_params,
5 /* kernel height */, 5 /* kernel width */, 2 /* width padding */, 2 /* stride */,
benchmark::utils::CheckNEONFP16ARITH);
}
static void dwconv2d_chw_5x5s2p2__neonfp16arith_1x8_acc5(benchmark::State& state, const char* net) {
f16_dwconv2d_chw(state,
xnn_f16_dwconv2d_chw_ukernel_5x5s2p2__neonfp16arith_1x8_acc5,
xnn_init_f16_chw_neonfp16arith_stride2_params,
5 /* kernel height */, 5 /* kernel width */, 2 /* width padding */, 2 /* stride */,
benchmark::utils::CheckNEONFP16ARITH);
}
static void dwconv2d_chw_5x5s2p2__neonfp16arith_2x8_acc2(benchmark::State& state, const char* net) {
f16_dwconv2d_chw(state,
xnn_f16_dwconv2d_chw_ukernel_5x5s2p2__neonfp16arith_2x8_acc2,
xnn_init_f16_chw_neonfp16arith_stride2_params,
5 /* kernel height */, 5 /* kernel width */, 2 /* width padding */, 2 /* stride */,
benchmark::utils::CheckNEONFP16ARITH);
}
static void dwconv2d_chw_5x5s2p2__neonfp16arith_2x8_acc3(benchmark::State& state, const char* net) {
f16_dwconv2d_chw(state,
xnn_f16_dwconv2d_chw_ukernel_5x5s2p2__neonfp16arith_2x8_acc3,
xnn_init_f16_chw_neonfp16arith_stride2_params,
5 /* kernel height */, 5 /* kernel width */, 2 /* width padding */, 2 /* stride */,
benchmark::utils::CheckNEONFP16ARITH);
}
static void dwconv2d_chw_5x5s2p2__neonfp16arith_3x8_acc2(benchmark::State& state, const char* net) {
f16_dwconv2d_chw(state,
xnn_f16_dwconv2d_chw_ukernel_5x5s2p2__neonfp16arith_1x8_acc5,
xnn_init_f16_chw_neonfp16arith_stride2_params,
5 /* kernel height */, 5 /* kernel width */, 2 /* width padding */, 2 /* stride */,
benchmark::utils::CheckNEONFP16ARITH);
}
BENCHMARK_DWCONV(dwconv2d_chw_3x3p1__neonfp16arith_1x8)
BENCHMARK_DWCONV(dwconv2d_chw_3x3p1__neonfp16arith_2x8)
BENCHMARK_DWCONV(dwconv2d_chw_3x3p1__neonfp16arith_3x8)
BENCHMARK_DWCONV(dwconv2d_chw_3x3p1__neonfp16arith_4x8)
BENCHMARK_DWCONV(dwconv2d_chw_3x3p1__neonfp16arith_5x8)
BENCHMARK_DWCONV(dwconv2d_chw_3x3p1__neonfp16arith_6x8)
BENCHMARK_DWCONV(dwconv2d_chw_3x3p1__neonfp16arith_1x8_acc2)
BENCHMARK_DWCONV(dwconv2d_chw_3x3p1__neonfp16arith_1x8_acc3)
BENCHMARK_DWCONV(dwconv2d_chw_3x3p1__neonfp16arith_1x8_acc4)
BENCHMARK_DWCONV(dwconv2d_chw_3x3p1__neonfp16arith_2x8_acc2)
BENCHMARK_DWCONV(dwconv2d_chw_3x3s2p1__neonfp16arith_1x8)
BENCHMARK_DWCONV(dwconv2d_chw_3x3s2p1__neonfp16arith_2x8)
BENCHMARK_DWCONV(dwconv2d_chw_3x3s2p1__neonfp16arith_3x8)
BENCHMARK_DWCONV(dwconv2d_chw_3x3s2p1__neonfp16arith_4x8)
BENCHMARK_DWCONV(dwconv2d_chw_3x3s2p1__neonfp16arith_1x8_acc2)
BENCHMARK_DWCONV(dwconv2d_chw_3x3s2p1__neonfp16arith_1x8_acc3)
BENCHMARK_DWCONV(dwconv2d_chw_3x3s2p1__neonfp16arith_1x8_acc4)
BENCHMARK_DWCONV(dwconv2d_chw_3x3s2p1__neonfp16arith_2x8_acc2)
BENCHMARK_DWCONV(dwconv2d_chw_5x5p2__neonfp16arith_1x8)
BENCHMARK_DWCONV(dwconv2d_chw_5x5p2__neonfp16arith_2x8)
BENCHMARK_DWCONV(dwconv2d_chw_5x5p2__neonfp16arith_3x8)
BENCHMARK_DWCONV(dwconv2d_chw_5x5p2__neonfp16arith_4x8)
BENCHMARK_DWCONV(dwconv2d_chw_5x5p2__neonfp16arith_5x8)
BENCHMARK_DWCONV(dwconv2d_chw_5x5p2__neonfp16arith_1x8_acc2)
BENCHMARK_DWCONV(dwconv2d_chw_5x5p2__neonfp16arith_1x8_acc3)
BENCHMARK_DWCONV(dwconv2d_chw_5x5p2__neonfp16arith_1x8_acc4)
BENCHMARK_DWCONV(dwconv2d_chw_5x5p2__neonfp16arith_1x8_acc5)
BENCHMARK_DWCONV(dwconv2d_chw_5x5p2__neonfp16arith_2x8_acc2)
BENCHMARK_DWCONV(dwconv2d_chw_5x5p2__neonfp16arith_2x8_acc3)
BENCHMARK_DWCONV(dwconv2d_chw_5x5p2__neonfp16arith_3x8_acc2)
BENCHMARK_DWCONV(dwconv2d_chw_5x5p2__neonfp16arith_4x8_acc2)
BENCHMARK_DWCONV(dwconv2d_chw_5x5s2p2__neonfp16arith_1x8)
BENCHMARK_DWCONV(dwconv2d_chw_5x5s2p2__neonfp16arith_2x8)
BENCHMARK_DWCONV(dwconv2d_chw_5x5s2p2__neonfp16arith_3x8)
BENCHMARK_DWCONV(dwconv2d_chw_5x5s2p2__neonfp16arith_1x8_acc2)
BENCHMARK_DWCONV(dwconv2d_chw_5x5s2p2__neonfp16arith_1x8_acc3)
BENCHMARK_DWCONV(dwconv2d_chw_5x5s2p2__neonfp16arith_1x8_acc4)
BENCHMARK_DWCONV(dwconv2d_chw_5x5s2p2__neonfp16arith_1x8_acc5)
BENCHMARK_DWCONV(dwconv2d_chw_5x5s2p2__neonfp16arith_2x8_acc2)
BENCHMARK_DWCONV(dwconv2d_chw_5x5s2p2__neonfp16arith_2x8_acc3)
BENCHMARK_DWCONV(dwconv2d_chw_5x5s2p2__neonfp16arith_3x8_acc2)
#endif // XNN_ENABLE_ARM_FP16_VECTOR && XNN_ARCH_ARM64
#ifndef XNNPACK_BENCHMARK_NO_MAIN
BENCHMARK_MAIN();
#endif