1 // Copyright 2019 Google LLC
2 //
3 // This source code is licensed under the BSD-style license found in the
4 // LICENSE file in the root directory of this source tree.
5
6 #include <algorithm>
7 #include <cfloat>
8 #include <cmath>
9 #include <functional>
10 #include <random>
11 #include <vector>
12
13 #include <benchmark/benchmark.h>
14 #include <fp16/fp16.h>
15 #include "bench/dwconv.h"
16 #include "bench/utils.h"
17
18 #include <xnnpack.h>
19 #include <xnnpack/aligned-allocator.h>
20 #include <xnnpack/common.h>
21 #include <xnnpack/dwconv.h>
22 #include <xnnpack/indirection.h>
23 #include <xnnpack/microfnptr.h>
24 #include <xnnpack/microparams-init.h>
25 #include <xnnpack/operator.h>
26 #include <xnnpack/pack.h>
27
28
f16_dwconv2d_chw(benchmark::State & state,xnn_f16_dwconv2d_chw_ukernel_function dwconv,uint32_t kh,uint32_t kw,uint32_t pw,uint32_t s,benchmark::utils::IsaCheckFunction isa_check=nullptr)29 static void f16_dwconv2d_chw(benchmark::State& state,
30 xnn_f16_dwconv2d_chw_ukernel_function dwconv,
31 uint32_t kh, uint32_t kw, uint32_t pw, uint32_t s,
32 benchmark::utils::IsaCheckFunction isa_check = nullptr)
33 {
34 if (isa_check && !isa_check(state)) {
35 return;
36 }
37
38 const size_t input_height = state.range(0);
39 const size_t input_width = state.range(1);
40 const size_t kernel_height = state.range(2);
41 const size_t kernel_width = state.range(3);
42 const size_t padding_height = state.range(4);
43 const size_t padding_width = state.range(5);
44 const size_t subsampling = state.range(6);
45 const size_t dilation = state.range(7);
46 const size_t channels = state.range(8);
47
48 if (kernel_height != kh) {
49 state.SkipWithError("kernel height mismatch");
50 return;
51 }
52
53 if (kernel_width != kw) {
54 state.SkipWithError("kernel width mismatch");
55 return;
56 }
57
58 if (subsampling != s) {
59 state.SkipWithError("subsampling mismatch");
60 return;
61 }
62
63 if (padding_width % 2 != 0 || padding_width / 2 != pw) {
64 state.SkipWithError("padding width mismatch");
65 return;
66 }
67
68 if (dilation != 1) {
69 state.SkipWithError("unsupported dilation");
70 return;
71 }
72
73 std::random_device random_device;
74 auto rng = std::mt19937(random_device());
75 auto f32rng = std::bind(std::uniform_real_distribution<float>(0.0f, 1.0f), std::ref(rng));
76 auto f16rng = std::bind(fp16_ieee_from_fp32_value, f32rng);
77
78 const size_t effective_kernel_height = (kernel_height - 1) * dilation + 1;
79 const size_t effective_kernel_width = (kernel_width - 1) * dilation + 1;
80 const size_t output_height = (input_height + padding_height - effective_kernel_height) / subsampling + 1;
81 const size_t output_width = (input_width + padding_width - effective_kernel_width) / subsampling + 1;
82
83 const size_t inputSize = (input_height + padding_height) * input_width;
84 const size_t kernel_size = kernel_height * kernel_width;
85 const size_t output_size = output_height * output_width;
86
87 std::vector<uint16_t> input(inputSize * channels + 2 * XNN_EXTRA_BYTES);
88 std::generate(input.begin(), input.end(), std::ref(f16rng));
89 std::vector<uint16_t> bias(channels);
90 std::generate(bias.begin(), bias.end(), std::ref(f16rng));
91 std::vector<uint16_t> kernel(channels * kernel_size);
92 std::generate(kernel.begin(), kernel.end(), std::ref(f16rng));
93 std::vector<uint16_t> zero(input_width + padding_width);
94
95 const size_t w_elements = (kernel_size + 1) * channels;
96 const size_t o_elements = output_size * channels;
97 const size_t num_buffers = 1 +
98 benchmark::utils::DivideRoundUp<size_t>(benchmark::utils::GetMaxCacheSize(),
99 sizeof(uint16_t) * (w_elements + o_elements));
100
101 std::vector<uint16_t, AlignedAllocator<uint16_t, 64>> packed_weights(w_elements * num_buffers);
102 std::fill(packed_weights.begin(), packed_weights.end(), 0.0f);
103 for (size_t c = 0; c < channels; c++) {
104 packed_weights[c * kernel_size + c] = bias[c];
105 for (size_t i = 0; i < kernel_size; i++) {
106 packed_weights[c * kernel_size + c + 1 + i] = kernel[c * kernel_size + i];
107 }
108 }
109 for (size_t n = 1; n < num_buffers; n++) {
110 std::copy(packed_weights.cbegin(), packed_weights.cbegin() + w_elements, packed_weights.begin() + n * w_elements);
111 }
112
113 std::vector<uint16_t> output(o_elements * num_buffers);
114 std::fill(output.begin(), output.end(), UINT16_C(0x7E00) /* NaN */);
115
116 xnn_f16_chw_params chw_params;
117 xnn_init_f16_chw_params(
118 &chw_params, input_width, 0xFC00 /* -inf */, 0x7C00 /* inf */);
119
120 size_t buffer_index = 0;
121 for (auto _ : state) {
122 state.PauseTiming();
123 benchmark::utils::PrefetchToL1(input.data(), input.size() * sizeof(uint16_t));
124 buffer_index = (buffer_index + 1) % num_buffers;
125 state.ResumeTiming();
126
127 for (uint32_t channel = 0; channel < channels; channel++) {
128 dwconv(
129 input_height, input_width * sizeof(uint16_t),
130 input.data() + channel * inputSize,
131 packed_weights.data() + channel * (kernel_size + 1) + buffer_index * w_elements,
132 zero.data(),
133 output.data() + channel * output_size + buffer_index * o_elements,
134 padding_height / 2, // padding_top
135 &chw_params);
136 }
137 }
138
139 const uint64_t cpu_frequency = benchmark::utils::GetCurrentCpuFrequency();
140 if (cpu_frequency != 0) {
141 state.counters["cpufreq"] = cpu_frequency;
142 }
143
144 state.counters["FLOPS"] = benchmark::Counter(
145 uint64_t(state.iterations()) * 2 * output_size * channels * kernel_size,
146 benchmark::Counter::kIsRate);
147
148 state.counters["bytes"] = benchmark::Counter(
149 uint64_t(state.iterations()) * (output_size + inputSize + kernel_size + 1 /* bias */) * channels * sizeof(uint16_t),
150 benchmark::Counter::kIsRate);
151 }
152
153
154 #if XNN_ENABLE_ARM_FP16 && XNN_ARCH_ARM64
dwconv2d_chw_3x3p1__neonfp16arith_1x8(benchmark::State & state,const char * net)155 static void dwconv2d_chw_3x3p1__neonfp16arith_1x8(benchmark::State& state, const char* net) {
156 f16_dwconv2d_chw(state, xnn_f16_dwconv2d_chw_ukernel_3x3p1__neonfp16arith_1x8, 3, 3, 1, 1);
157 }
dwconv2d_chw_3x3p1__neonfp16arith_2x8(benchmark::State & state,const char * net)158 static void dwconv2d_chw_3x3p1__neonfp16arith_2x8(benchmark::State& state, const char* net) {
159 f16_dwconv2d_chw(state, xnn_f16_dwconv2d_chw_ukernel_3x3p1__neonfp16arith_2x8, 3, 3, 1, 1);
160 }
dwconv2d_chw_3x3p1__neonfp16arith_3x8(benchmark::State & state,const char * net)161 static void dwconv2d_chw_3x3p1__neonfp16arith_3x8(benchmark::State& state, const char* net) {
162 f16_dwconv2d_chw(state, xnn_f16_dwconv2d_chw_ukernel_3x3p1__neonfp16arith_3x8, 3, 3, 1, 1);
163 }
dwconv2d_chw_3x3p1__neonfp16arith_4x8(benchmark::State & state,const char * net)164 static void dwconv2d_chw_3x3p1__neonfp16arith_4x8(benchmark::State& state, const char* net) {
165 f16_dwconv2d_chw(state, xnn_f16_dwconv2d_chw_ukernel_3x3p1__neonfp16arith_4x8, 3, 3, 1, 1);
166 }
dwconv2d_chw_3x3p1__neonfp16arith_5x8(benchmark::State & state,const char * net)167 static void dwconv2d_chw_3x3p1__neonfp16arith_5x8(benchmark::State& state, const char* net) {
168 f16_dwconv2d_chw(state, xnn_f16_dwconv2d_chw_ukernel_3x3p1__neonfp16arith_5x8, 3, 3, 1, 1);
169 }
dwconv2d_chw_3x3p1__neonfp16arith_6x8(benchmark::State & state,const char * net)170 static void dwconv2d_chw_3x3p1__neonfp16arith_6x8(benchmark::State& state, const char* net) {
171 f16_dwconv2d_chw(state, xnn_f16_dwconv2d_chw_ukernel_3x3p1__neonfp16arith_6x8, 3, 3, 1, 1);
172 }
dwconv2d_chw_3x3p1__neonfp16arith_1x8_acc2(benchmark::State & state,const char * net)173 static void dwconv2d_chw_3x3p1__neonfp16arith_1x8_acc2(benchmark::State& state, const char* net) {
174 f16_dwconv2d_chw(state, xnn_f16_dwconv2d_chw_ukernel_3x3p1__neonfp16arith_1x8_acc2, 3, 3, 1, 1);
175 }
dwconv2d_chw_3x3p1__neonfp16arith_1x8_acc3(benchmark::State & state,const char * net)176 static void dwconv2d_chw_3x3p1__neonfp16arith_1x8_acc3(benchmark::State& state, const char* net) {
177 f16_dwconv2d_chw(state, xnn_f16_dwconv2d_chw_ukernel_3x3p1__neonfp16arith_1x8_acc3, 3, 3, 1, 1);
178 }
dwconv2d_chw_3x3p1__neonfp16arith_1x8_acc4(benchmark::State & state,const char * net)179 static void dwconv2d_chw_3x3p1__neonfp16arith_1x8_acc4(benchmark::State& state, const char* net) {
180 f16_dwconv2d_chw(state, xnn_f16_dwconv2d_chw_ukernel_3x3p1__neonfp16arith_1x8_acc4, 3, 3, 1, 1);
181 }
dwconv2d_chw_3x3p1__neonfp16arith_2x8_acc2(benchmark::State & state,const char * net)182 static void dwconv2d_chw_3x3p1__neonfp16arith_2x8_acc2(benchmark::State& state, const char* net) {
183 f16_dwconv2d_chw(state, xnn_f16_dwconv2d_chw_ukernel_3x3p1__neonfp16arith_2x8_acc2, 3, 3, 1, 1);
184 }
185
dwconv2d_chw_3x3s2p1__neonfp16arith_1x4(benchmark::State & state,const char * net)186 static void dwconv2d_chw_3x3s2p1__neonfp16arith_1x4(benchmark::State& state, const char* net) {
187 f16_dwconv2d_chw(state, xnn_f16_dwconv2d_chw_ukernel_3x3s2p1__neonfp16arith_1x4, 3, 3, 1, 2);
188 }
dwconv2d_chw_3x3s2p1__neonfp16arith_2x4(benchmark::State & state,const char * net)189 static void dwconv2d_chw_3x3s2p1__neonfp16arith_2x4(benchmark::State& state, const char* net) {
190 f16_dwconv2d_chw(state, xnn_f16_dwconv2d_chw_ukernel_3x3s2p1__neonfp16arith_2x4, 3, 3, 1, 2);
191 }
dwconv2d_chw_3x3s2p1__neonfp16arith_3x4(benchmark::State & state,const char * net)192 static void dwconv2d_chw_3x3s2p1__neonfp16arith_3x4(benchmark::State& state, const char* net) {
193 f16_dwconv2d_chw(state, xnn_f16_dwconv2d_chw_ukernel_3x3s2p1__neonfp16arith_3x4, 3, 3, 1, 2);
194 }
dwconv2d_chw_3x3s2p1__neonfp16arith_4x4(benchmark::State & state,const char * net)195 static void dwconv2d_chw_3x3s2p1__neonfp16arith_4x4(benchmark::State& state, const char* net) {
196 f16_dwconv2d_chw(state, xnn_f16_dwconv2d_chw_ukernel_3x3s2p1__neonfp16arith_4x4, 3, 3, 1, 2);
197 }
dwconv2d_chw_3x3s2p1__neonfp16arith_1x4_acc2(benchmark::State & state,const char * net)198 static void dwconv2d_chw_3x3s2p1__neonfp16arith_1x4_acc2(benchmark::State& state, const char* net) {
199 f16_dwconv2d_chw(state, xnn_f16_dwconv2d_chw_ukernel_3x3s2p1__neonfp16arith_1x4_acc2, 3, 3, 1, 2);
200 }
dwconv2d_chw_3x3s2p1__neonfp16arith_1x4_acc3(benchmark::State & state,const char * net)201 static void dwconv2d_chw_3x3s2p1__neonfp16arith_1x4_acc3(benchmark::State& state, const char* net) {
202 f16_dwconv2d_chw(state, xnn_f16_dwconv2d_chw_ukernel_3x3s2p1__neonfp16arith_1x4_acc3, 3, 3, 1, 2);
203 }
dwconv2d_chw_3x3s2p1__neonfp16arith_1x4_acc4(benchmark::State & state,const char * net)204 static void dwconv2d_chw_3x3s2p1__neonfp16arith_1x4_acc4(benchmark::State& state, const char* net) {
205 f16_dwconv2d_chw(state, xnn_f16_dwconv2d_chw_ukernel_3x3s2p1__neonfp16arith_1x4_acc4, 3, 3, 1, 2);
206 }
dwconv2d_chw_3x3s2p1__neonfp16arith_2x4_acc2(benchmark::State & state,const char * net)207 static void dwconv2d_chw_3x3s2p1__neonfp16arith_2x4_acc2(benchmark::State& state, const char* net) {
208 f16_dwconv2d_chw(state, xnn_f16_dwconv2d_chw_ukernel_3x3s2p1__neonfp16arith_2x4_acc2, 3, 3, 1, 2);
209 }
210
dwconv2d_chw_5x5p2__neonfp16arith_1x4(benchmark::State & state,const char * net)211 static void dwconv2d_chw_5x5p2__neonfp16arith_1x4(benchmark::State& state, const char* net) {
212 f16_dwconv2d_chw(state, xnn_f16_dwconv2d_chw_ukernel_5x5p2__neonfp16arith_1x4, 5, 5, 2, 1);
213 }
dwconv2d_chw_5x5p2__neonfp16arith_2x4(benchmark::State & state,const char * net)214 static void dwconv2d_chw_5x5p2__neonfp16arith_2x4(benchmark::State& state, const char* net) {
215 f16_dwconv2d_chw(state, xnn_f16_dwconv2d_chw_ukernel_5x5p2__neonfp16arith_2x4, 5, 5, 2, 1);
216 }
dwconv2d_chw_5x5p2__neonfp16arith_3x4(benchmark::State & state,const char * net)217 static void dwconv2d_chw_5x5p2__neonfp16arith_3x4(benchmark::State& state, const char* net) {
218 f16_dwconv2d_chw(state, xnn_f16_dwconv2d_chw_ukernel_5x5p2__neonfp16arith_3x4, 5, 5, 2, 1);
219 }
dwconv2d_chw_5x5p2__neonfp16arith_4x4(benchmark::State & state,const char * net)220 static void dwconv2d_chw_5x5p2__neonfp16arith_4x4(benchmark::State& state, const char* net) {
221 f16_dwconv2d_chw(state, xnn_f16_dwconv2d_chw_ukernel_5x5p2__neonfp16arith_4x4, 5, 5, 2, 1);
222 }
dwconv2d_chw_5x5p2__neonfp16arith_5x4(benchmark::State & state,const char * net)223 static void dwconv2d_chw_5x5p2__neonfp16arith_5x4(benchmark::State& state, const char* net) {
224 f16_dwconv2d_chw(state, xnn_f16_dwconv2d_chw_ukernel_5x5p2__neonfp16arith_5x4, 5, 5, 2, 1);
225 }
dwconv2d_chw_5x5p2__neonfp16arith_1x4_acc2(benchmark::State & state,const char * net)226 static void dwconv2d_chw_5x5p2__neonfp16arith_1x4_acc2(benchmark::State& state, const char* net) {
227 f16_dwconv2d_chw(state, xnn_f16_dwconv2d_chw_ukernel_5x5p2__neonfp16arith_1x4_acc2, 5, 5, 2, 1);
228 }
dwconv2d_chw_5x5p2__neonfp16arith_1x4_acc3(benchmark::State & state,const char * net)229 static void dwconv2d_chw_5x5p2__neonfp16arith_1x4_acc3(benchmark::State& state, const char* net) {
230 f16_dwconv2d_chw(state, xnn_f16_dwconv2d_chw_ukernel_5x5p2__neonfp16arith_1x4_acc3, 5, 5, 2, 1);
231 }
dwconv2d_chw_5x5p2__neonfp16arith_1x4_acc4(benchmark::State & state,const char * net)232 static void dwconv2d_chw_5x5p2__neonfp16arith_1x4_acc4(benchmark::State& state, const char* net) {
233 f16_dwconv2d_chw(state, xnn_f16_dwconv2d_chw_ukernel_5x5p2__neonfp16arith_1x4_acc4, 5, 5, 2, 1);
234 }
dwconv2d_chw_5x5p2__neonfp16arith_1x4_acc5(benchmark::State & state,const char * net)235 static void dwconv2d_chw_5x5p2__neonfp16arith_1x4_acc5(benchmark::State& state, const char* net) {
236 f16_dwconv2d_chw(state, xnn_f16_dwconv2d_chw_ukernel_5x5p2__neonfp16arith_1x4_acc5, 5, 5, 2, 1);
237 }
dwconv2d_chw_5x5p2__neonfp16arith_2x4_acc2(benchmark::State & state,const char * net)238 static void dwconv2d_chw_5x5p2__neonfp16arith_2x4_acc2(benchmark::State& state, const char* net) {
239 f16_dwconv2d_chw(state, xnn_f16_dwconv2d_chw_ukernel_5x5p2__neonfp16arith_2x4_acc2, 5, 5, 2, 1);
240 }
dwconv2d_chw_5x5p2__neonfp16arith_2x4_acc3(benchmark::State & state,const char * net)241 static void dwconv2d_chw_5x5p2__neonfp16arith_2x4_acc3(benchmark::State& state, const char* net) {
242 f16_dwconv2d_chw(state, xnn_f16_dwconv2d_chw_ukernel_5x5p2__neonfp16arith_2x4_acc3, 5, 5, 2, 1);
243 }
dwconv2d_chw_5x5p2__neonfp16arith_3x4_acc2(benchmark::State & state,const char * net)244 static void dwconv2d_chw_5x5p2__neonfp16arith_3x4_acc2(benchmark::State& state, const char* net) {
245 f16_dwconv2d_chw(state, xnn_f16_dwconv2d_chw_ukernel_5x5p2__neonfp16arith_3x4_acc2, 5, 5, 2, 1);
246 }
dwconv2d_chw_5x5p2__neonfp16arith_4x4_acc2(benchmark::State & state,const char * net)247 static void dwconv2d_chw_5x5p2__neonfp16arith_4x4_acc2(benchmark::State& state, const char* net) {
248 f16_dwconv2d_chw(state, xnn_f16_dwconv2d_chw_ukernel_5x5p2__neonfp16arith_4x4_acc2, 5, 5, 2, 1);
249 }
250
dwconv2d_chw_5x5s2p2__neonfp16arith_1x4(benchmark::State & state,const char * net)251 static void dwconv2d_chw_5x5s2p2__neonfp16arith_1x4(benchmark::State& state, const char* net) {
252 f16_dwconv2d_chw(state, xnn_f16_dwconv2d_chw_ukernel_5x5s2p2__neonfp16arith_1x4, 5, 5, 2, 2);
253 }
dwconv2d_chw_5x5s2p2__neonfp16arith_2x4(benchmark::State & state,const char * net)254 static void dwconv2d_chw_5x5s2p2__neonfp16arith_2x4(benchmark::State& state, const char* net) {
255 f16_dwconv2d_chw(state, xnn_f16_dwconv2d_chw_ukernel_5x5s2p2__neonfp16arith_2x4, 5, 5, 2, 2);
256 }
dwconv2d_chw_5x5s2p2__neonfp16arith_3x4(benchmark::State & state,const char * net)257 static void dwconv2d_chw_5x5s2p2__neonfp16arith_3x4(benchmark::State& state, const char* net) {
258 f16_dwconv2d_chw(state, xnn_f16_dwconv2d_chw_ukernel_5x5s2p2__neonfp16arith_3x4, 5, 5, 2, 2);
259 }
dwconv2d_chw_5x5s2p2__neonfp16arith_1x4_acc2(benchmark::State & state,const char * net)260 static void dwconv2d_chw_5x5s2p2__neonfp16arith_1x4_acc2(benchmark::State& state, const char* net) {
261 f16_dwconv2d_chw(state, xnn_f16_dwconv2d_chw_ukernel_5x5s2p2__neonfp16arith_1x4_acc2, 5, 5, 2, 2);
262 }
dwconv2d_chw_5x5s2p2__neonfp16arith_1x4_acc3(benchmark::State & state,const char * net)263 static void dwconv2d_chw_5x5s2p2__neonfp16arith_1x4_acc3(benchmark::State& state, const char* net) {
264 f16_dwconv2d_chw(state, xnn_f16_dwconv2d_chw_ukernel_5x5s2p2__neonfp16arith_1x4_acc3, 5, 5, 2, 2);
265 }
dwconv2d_chw_5x5s2p2__neonfp16arith_1x4_acc4(benchmark::State & state,const char * net)266 static void dwconv2d_chw_5x5s2p2__neonfp16arith_1x4_acc4(benchmark::State& state, const char* net) {
267 f16_dwconv2d_chw(state, xnn_f16_dwconv2d_chw_ukernel_5x5s2p2__neonfp16arith_1x4_acc4, 5, 5, 2, 2);
268 }
dwconv2d_chw_5x5s2p2__neonfp16arith_1x4_acc5(benchmark::State & state,const char * net)269 static void dwconv2d_chw_5x5s2p2__neonfp16arith_1x4_acc5(benchmark::State& state, const char* net) {
270 f16_dwconv2d_chw(state, xnn_f16_dwconv2d_chw_ukernel_5x5s2p2__neonfp16arith_1x4_acc5, 5, 5, 2, 2);
271 }
dwconv2d_chw_5x5s2p2__neonfp16arith_2x4_acc2(benchmark::State & state,const char * net)272 static void dwconv2d_chw_5x5s2p2__neonfp16arith_2x4_acc2(benchmark::State& state, const char* net) {
273 f16_dwconv2d_chw(state, xnn_f16_dwconv2d_chw_ukernel_5x5s2p2__neonfp16arith_2x4_acc2, 5, 5, 2, 2);
274 }
dwconv2d_chw_5x5s2p2__neonfp16arith_2x4_acc3(benchmark::State & state,const char * net)275 static void dwconv2d_chw_5x5s2p2__neonfp16arith_2x4_acc3(benchmark::State& state, const char* net) {
276 f16_dwconv2d_chw(state, xnn_f16_dwconv2d_chw_ukernel_5x5s2p2__neonfp16arith_2x4_acc3, 5, 5, 2, 2);
277 }
dwconv2d_chw_5x5s2p2__neonfp16arith_3x4_acc2(benchmark::State & state,const char * net)278 static void dwconv2d_chw_5x5s2p2__neonfp16arith_3x4_acc2(benchmark::State& state, const char* net) {
279 f16_dwconv2d_chw(state, xnn_f16_dwconv2d_chw_ukernel_5x5s2p2__neonfp16arith_3x4_acc2, 5, 5, 2, 2);
280 }
281
282 BENCHMARK_DWCONV(dwconv2d_chw_3x3p1__neonfp16arith_1x8)
283 BENCHMARK_DWCONV(dwconv2d_chw_3x3p1__neonfp16arith_2x8)
284 BENCHMARK_DWCONV(dwconv2d_chw_3x3p1__neonfp16arith_3x8)
285 BENCHMARK_DWCONV(dwconv2d_chw_3x3p1__neonfp16arith_4x8)
286 BENCHMARK_DWCONV(dwconv2d_chw_3x3p1__neonfp16arith_5x8)
287 BENCHMARK_DWCONV(dwconv2d_chw_3x3p1__neonfp16arith_6x8)
288 BENCHMARK_DWCONV(dwconv2d_chw_3x3p1__neonfp16arith_1x8_acc2)
289 BENCHMARK_DWCONV(dwconv2d_chw_3x3p1__neonfp16arith_1x8_acc3)
290 BENCHMARK_DWCONV(dwconv2d_chw_3x3p1__neonfp16arith_1x8_acc4)
291 BENCHMARK_DWCONV(dwconv2d_chw_3x3p1__neonfp16arith_2x8_acc2)
292
293 BENCHMARK_DWCONV(dwconv2d_chw_3x3s2p1__neonfp16arith_1x4)
294 BENCHMARK_DWCONV(dwconv2d_chw_3x3s2p1__neonfp16arith_2x4)
295 BENCHMARK_DWCONV(dwconv2d_chw_3x3s2p1__neonfp16arith_3x4)
296 BENCHMARK_DWCONV(dwconv2d_chw_3x3s2p1__neonfp16arith_4x4)
297 BENCHMARK_DWCONV(dwconv2d_chw_3x3s2p1__neonfp16arith_1x4_acc2)
298 BENCHMARK_DWCONV(dwconv2d_chw_3x3s2p1__neonfp16arith_1x4_acc3)
299 BENCHMARK_DWCONV(dwconv2d_chw_3x3s2p1__neonfp16arith_1x4_acc4)
300 BENCHMARK_DWCONV(dwconv2d_chw_3x3s2p1__neonfp16arith_2x4_acc2)
301
302 BENCHMARK_DWCONV(dwconv2d_chw_5x5p2__neonfp16arith_1x4)
303 BENCHMARK_DWCONV(dwconv2d_chw_5x5p2__neonfp16arith_2x4)
304 BENCHMARK_DWCONV(dwconv2d_chw_5x5p2__neonfp16arith_3x4)
305 BENCHMARK_DWCONV(dwconv2d_chw_5x5p2__neonfp16arith_4x4)
306 BENCHMARK_DWCONV(dwconv2d_chw_5x5p2__neonfp16arith_5x4)
307 BENCHMARK_DWCONV(dwconv2d_chw_5x5p2__neonfp16arith_1x4_acc2)
308 BENCHMARK_DWCONV(dwconv2d_chw_5x5p2__neonfp16arith_1x4_acc3)
309 BENCHMARK_DWCONV(dwconv2d_chw_5x5p2__neonfp16arith_1x4_acc4)
310 BENCHMARK_DWCONV(dwconv2d_chw_5x5p2__neonfp16arith_1x4_acc5)
311 BENCHMARK_DWCONV(dwconv2d_chw_5x5p2__neonfp16arith_2x4_acc2)
312 BENCHMARK_DWCONV(dwconv2d_chw_5x5p2__neonfp16arith_2x4_acc3)
313 BENCHMARK_DWCONV(dwconv2d_chw_5x5p2__neonfp16arith_3x4_acc2)
314 BENCHMARK_DWCONV(dwconv2d_chw_5x5p2__neonfp16arith_4x4_acc2)
315
316 BENCHMARK_DWCONV(dwconv2d_chw_5x5s2p2__neonfp16arith_1x4)
317 BENCHMARK_DWCONV(dwconv2d_chw_5x5s2p2__neonfp16arith_2x4)
318 BENCHMARK_DWCONV(dwconv2d_chw_5x5s2p2__neonfp16arith_3x4)
319 BENCHMARK_DWCONV(dwconv2d_chw_5x5s2p2__neonfp16arith_1x4_acc2)
320 BENCHMARK_DWCONV(dwconv2d_chw_5x5s2p2__neonfp16arith_1x4_acc3)
321 BENCHMARK_DWCONV(dwconv2d_chw_5x5s2p2__neonfp16arith_1x4_acc4)
322 BENCHMARK_DWCONV(dwconv2d_chw_5x5s2p2__neonfp16arith_1x4_acc5)
323 BENCHMARK_DWCONV(dwconv2d_chw_5x5s2p2__neonfp16arith_2x4_acc2)
324 BENCHMARK_DWCONV(dwconv2d_chw_5x5s2p2__neonfp16arith_2x4_acc3)
325 BENCHMARK_DWCONV(dwconv2d_chw_5x5s2p2__neonfp16arith_3x4_acc2)
326 #endif // XNN_ENABLE_ARM_FP16 && XNN_ARCH_ARM64
327
328
329 #ifndef XNNPACK_BENCHMARK_NO_MAIN
330 BENCHMARK_MAIN();
331 #endif
332