XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 1 | // Copyright (c) Facebook, Inc. and its affiliates. |
| 2 | // All rights reserved. |
| 3 | // |
| 4 | // Copyright 2019 Google LLC |
| 5 | // |
| 6 | // This source code is licensed under the BSD-style license found in the |
| 7 | // LICENSE file in the root directory of this source tree. |
| 8 | |
| 9 | #include <algorithm> |
| 10 | #include <cmath> |
| 11 | #include <functional> |
Marat Dukhan | 5ce30d9 | 2020-04-14 03:31:26 -0700 | [diff] [blame] | 12 | #include <limits> |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 13 | #include <random> |
| 14 | #include <vector> |
| 15 | |
| 16 | #include <xnnpack.h> |
| 17 | |
| 18 | #include <benchmark/benchmark.h> |
Frank Barchard | bb4c18b | 2019-09-30 11:05:52 -0700 | [diff] [blame] | 19 | #include "bench/utils.h" |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 20 | |
| 21 | |
| 22 | static void channel_shuffle_x8(benchmark::State& state, const char* net) { |
| 23 | const size_t batch_size = static_cast<size_t>(state.range(0)); |
| 24 | const size_t groups = static_cast<size_t>(state.range(1)); |
| 25 | const size_t group_channels = static_cast<size_t>(state.range(2)); |
| 26 | |
| 27 | std::random_device random_device; |
| 28 | auto rng = std::mt19937(random_device()); |
Marat Dukhan | 44f0ca7 | 2020-08-02 21:46:58 -0700 | [diff] [blame] | 29 | auto u8rng = std::bind(std::uniform_int_distribution<uint32_t>(0, std::numeric_limits<uint8_t>::max()), std::ref(rng)); |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 30 | |
| 31 | std::vector<uint8_t> input(XNN_EXTRA_BYTES / sizeof(uint8_t) + batch_size * groups * group_channels); |
| 32 | std::vector<uint8_t> output(batch_size * groups * group_channels); |
| 33 | std::generate(input.begin(), input.end(), std::ref(u8rng)); |
| 34 | |
Marat Dukhan | 04f03be | 2019-11-19 12:36:47 -0800 | [diff] [blame] | 35 | xnn_status status = xnn_initialize(nullptr /* allocator */); |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 36 | if (status != xnn_status_success) { |
| 37 | state.SkipWithError("failed to initialize XNNPACK"); |
| 38 | return; |
| 39 | } |
| 40 | |
| 41 | xnn_operator_t channel_shuffle_op = nullptr; |
| 42 | status = xnn_create_channel_shuffle_nc_x8( |
| 43 | groups, group_channels, |
| 44 | groups * group_channels /* input stride */, |
| 45 | groups * group_channels /* output stride */, |
| 46 | 0 /* flags */, &channel_shuffle_op); |
| 47 | if (status != xnn_status_success || channel_shuffle_op == nullptr) { |
| 48 | state.SkipWithError("failed to create X8 Channel Shuffle operator"); |
| 49 | return; |
| 50 | } |
| 51 | |
| 52 | status = xnn_setup_channel_shuffle_nc_x8( |
| 53 | channel_shuffle_op, |
| 54 | batch_size, |
| 55 | input.data(), output.data(), |
| 56 | nullptr /* thread pool */); |
| 57 | if (status != xnn_status_success) { |
| 58 | state.SkipWithError("failed to setup X8 Channel Shuffle operator"); |
| 59 | return; |
| 60 | } |
| 61 | |
| 62 | for (auto _ : state) { |
| 63 | status = xnn_run_operator(channel_shuffle_op, nullptr /* thread pool */); |
| 64 | if (status != xnn_status_success) { |
| 65 | state.SkipWithError("failed to run X8 Channel Shuffle operator"); |
| 66 | return; |
| 67 | } |
| 68 | } |
| 69 | |
| 70 | status = xnn_delete_operator(channel_shuffle_op); |
| 71 | if (status != xnn_status_success) { |
| 72 | state.SkipWithError("failed to delete X8 Channel Shuffle operator"); |
| 73 | return; |
| 74 | } |
| 75 | |
Marat Dukhan | d713e8a | 2020-12-04 14:23:12 -0800 | [diff] [blame] | 76 | const uint64_t cpu_frequency = benchmark::utils::GetCurrentCpuFrequency(); |
| 77 | if (cpu_frequency != 0) { |
| 78 | state.counters["cpufreq"] = cpu_frequency; |
| 79 | } |
Frank Barchard | bb4c18b | 2019-09-30 11:05:52 -0700 | [diff] [blame] | 80 | |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 81 | const size_t elements_per_iteration = batch_size * groups * group_channels; |
| 82 | state.counters["elements"] = |
| 83 | benchmark::Counter(uint64_t(state.iterations()) * elements_per_iteration, benchmark::Counter::kIsRate); |
| 84 | |
| 85 | const size_t bytes_per_iteration = 2 * elements_per_iteration * sizeof(uint8_t); |
| 86 | state.counters["bytes"] = |
| 87 | benchmark::Counter(uint64_t(state.iterations()) * bytes_per_iteration, benchmark::Counter::kIsRate); |
| 88 | } |
| 89 | |
| 90 | static void channel_shuffle_x32(benchmark::State& state, const char* net) { |
| 91 | const size_t batch_size = static_cast<size_t>(state.range(0)); |
| 92 | const size_t groups = static_cast<size_t>(state.range(1)); |
| 93 | const size_t group_channels = static_cast<size_t>(state.range(2)); |
| 94 | |
| 95 | std::random_device random_device; |
| 96 | auto rng = std::mt19937(random_device()); |
Marat Dukhan | 44f0ca7 | 2020-08-02 21:46:58 -0700 | [diff] [blame] | 97 | auto f32rng = std::bind(std::uniform_real_distribution<float>(), std::ref(rng)); |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 98 | |
| 99 | std::vector<float> input(XNN_EXTRA_BYTES / sizeof(float) + batch_size * groups * group_channels); |
| 100 | std::vector<float> output(batch_size * groups * group_channels); |
| 101 | std::generate(input.begin(), input.end(), std::ref(f32rng)); |
| 102 | |
Marat Dukhan | 04f03be | 2019-11-19 12:36:47 -0800 | [diff] [blame] | 103 | xnn_status status = xnn_initialize(nullptr /* allocator */); |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 104 | if (status != xnn_status_success) { |
| 105 | state.SkipWithError("failed to initialize XNNPACK"); |
| 106 | return; |
| 107 | } |
| 108 | |
| 109 | xnn_operator_t channel_shuffle_op = nullptr; |
| 110 | status = xnn_create_channel_shuffle_nc_x32( |
| 111 | groups, group_channels, |
| 112 | groups * group_channels /* input stride */, |
| 113 | groups * group_channels /* output stride */, |
| 114 | 0 /* flags */, &channel_shuffle_op); |
| 115 | if (status != xnn_status_success || channel_shuffle_op == nullptr) { |
| 116 | state.SkipWithError("failed to create X32 Channel Shuffle operator"); |
| 117 | return; |
| 118 | } |
| 119 | |
| 120 | status = xnn_setup_channel_shuffle_nc_x32( |
| 121 | channel_shuffle_op, |
| 122 | batch_size, |
| 123 | input.data(), output.data(), |
| 124 | nullptr /* thread pool */); |
| 125 | if (status != xnn_status_success) { |
| 126 | state.SkipWithError("failed to setup X32 Channel Shuffle operator"); |
| 127 | return; |
| 128 | } |
| 129 | |
| 130 | for (auto _ : state) { |
| 131 | status = xnn_run_operator(channel_shuffle_op, nullptr /* thread pool */); |
| 132 | if (status != xnn_status_success) { |
| 133 | state.SkipWithError("failed to run X32 Channel Shuffle operator"); |
| 134 | return; |
| 135 | } |
| 136 | } |
| 137 | |
| 138 | status = xnn_delete_operator(channel_shuffle_op); |
| 139 | if (status != xnn_status_success) { |
| 140 | state.SkipWithError("failed to delete X32 Channel Shuffle operator"); |
| 141 | return; |
| 142 | } |
| 143 | |
Marat Dukhan | d713e8a | 2020-12-04 14:23:12 -0800 | [diff] [blame] | 144 | const uint64_t cpu_frequency = benchmark::utils::GetCurrentCpuFrequency(); |
| 145 | if (cpu_frequency != 0) { |
| 146 | state.counters["cpufreq"] = cpu_frequency; |
| 147 | } |
Frank Barchard | bb4c18b | 2019-09-30 11:05:52 -0700 | [diff] [blame] | 148 | |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 149 | const size_t elements_per_iteration = batch_size * groups * group_channels; |
| 150 | state.counters["elements"] = |
| 151 | benchmark::Counter(uint64_t(state.iterations()) * elements_per_iteration, benchmark::Counter::kIsRate); |
| 152 | |
| 153 | const size_t bytes_per_iteration = 2 * elements_per_iteration * sizeof(float); |
| 154 | state.counters["bytes"] = |
| 155 | benchmark::Counter(uint64_t(state.iterations()) * bytes_per_iteration, benchmark::Counter::kIsRate); |
| 156 | } |
| 157 | |
| 158 | static void ShuffleNetV1G2Arguments(benchmark::internal::Benchmark* b) |
| 159 | { |
| 160 | b->ArgNames({"N", "G", "GC"}); |
| 161 | |
| 162 | /******** Stage 2 ********/ |
| 163 | /* H W G CG */ |
| 164 | b->Args({56 * 56, 2, 25}); |
| 165 | b->Args({28 * 28, 2, 25}); |
| 166 | |
| 167 | /******** Stage 3 ********/ |
| 168 | /* H W G CG */ |
| 169 | b->Args({28 * 28, 2, 50}); |
| 170 | b->Args({14 * 14, 2, 50}); |
| 171 | |
| 172 | /******** Stage 4 ********/ |
| 173 | /* H W G CG */ |
| 174 | b->Args({14 * 14, 2, 100}); |
| 175 | b->Args({ 7 * 7, 2, 100}); |
| 176 | } |
| 177 | |
| 178 | static void ShuffleNetV1G3Arguments(benchmark::internal::Benchmark* b) |
| 179 | { |
| 180 | b->ArgNames({"N", "G", "GC"}); |
| 181 | |
| 182 | /******** Stage 2 *******/ |
| 183 | /* H W G CG */ |
| 184 | b->Args({56 * 56, 3, 20}); |
| 185 | b->Args({28 * 28, 3, 20}); |
| 186 | |
| 187 | /******** Stage 3 *******/ |
| 188 | /* H W G CG */ |
| 189 | b->Args({28 * 28, 3, 40}); |
| 190 | b->Args({14 * 14, 3, 40}); |
| 191 | |
| 192 | /******** Stage 4 *******/ |
| 193 | /* H W G CG */ |
| 194 | b->Args({14 * 14, 3, 80}); |
| 195 | b->Args({ 7 * 7, 3, 80}); |
| 196 | } |
| 197 | |
| 198 | static void ShuffleNetV1G4Arguments(benchmark::internal::Benchmark* b) |
| 199 | { |
| 200 | b->ArgNames({"N", "G", "GC"}); |
| 201 | |
| 202 | /******** Stage 2 *******/ |
| 203 | /* H W G CG */ |
| 204 | b->Args({56 * 56, 4, 17}); |
| 205 | b->Args({28 * 28, 4, 17}); |
| 206 | |
| 207 | /******** Stage 3 *******/ |
| 208 | /* H W G CG */ |
| 209 | b->Args({28 * 28, 4, 34}); |
| 210 | b->Args({14 * 14, 4, 34}); |
| 211 | |
| 212 | /******** Stage 4 *******/ |
| 213 | /* H W G CG */ |
| 214 | b->Args({14 * 14, 4, 68}); |
| 215 | b->Args({ 7 * 7, 4, 68}); |
| 216 | } |
| 217 | |
| 218 | static void ShuffleNetV1G8Arguments(benchmark::internal::Benchmark* b) |
| 219 | { |
| 220 | b->ArgNames({"N", "G", "GC"}); |
| 221 | |
| 222 | /******** Stage 2 *******/ |
| 223 | /* H W G CG */ |
| 224 | b->Args({56 * 56, 8, 12}); |
| 225 | b->Args({28 * 28, 8, 12}); |
| 226 | |
| 227 | /******** Stage 3 *******/ |
| 228 | /* H W G CG */ |
| 229 | b->Args({28 * 28, 8, 24}); |
| 230 | b->Args({14 * 14, 8, 24}); |
| 231 | |
| 232 | /******** Stage 4 *******/ |
| 233 | /* H W G CG */ |
| 234 | b->Args({14 * 14, 8, 48}); |
| 235 | b->Args({ 7 * 7, 8, 48}); |
| 236 | } |
| 237 | |
| 238 | static void ShuffleNetV2x0_5Arguments(benchmark::internal::Benchmark* b) |
| 239 | { |
| 240 | b->ArgNames({"N", "G", "GC"}); |
| 241 | |
| 242 | /******** Stage 2 *******/ |
| 243 | /* H W G CG */ |
| 244 | b->Args({28 * 28, 2, 24}); |
| 245 | |
| 246 | /******** Stage 3 *******/ |
| 247 | /* H W G CG */ |
| 248 | b->Args({14 * 14, 2, 48}); |
| 249 | |
| 250 | /******** Stage 4 *******/ |
| 251 | /* H W G CG */ |
| 252 | b->Args({ 7 * 7, 2, 96}); |
| 253 | } |
| 254 | |
| 255 | static void ShuffleNetV2x1_0Arguments(benchmark::internal::Benchmark* b) |
| 256 | { |
| 257 | b->ArgNames({"N", "G", "GC"}); |
| 258 | |
| 259 | /******** Stage 2 ********/ |
| 260 | /* H W G CG */ |
| 261 | b->Args({28 * 28, 2, 58}); |
| 262 | |
| 263 | /******** Stage 3 ********/ |
| 264 | /* H W G CG */ |
| 265 | b->Args({14 * 14, 2, 116}); |
| 266 | |
| 267 | /******** Stage 4 ********/ |
| 268 | /* H W G CG */ |
| 269 | b->Args({ 7 * 7, 2, 232}); |
| 270 | } |
| 271 | |
| 272 | static void ShuffleNetV2x1_5Arguments(benchmark::internal::Benchmark* b) |
| 273 | { |
| 274 | b->ArgNames({"N", "G", "GC"}); |
| 275 | |
| 276 | /******** Stage 2 ********/ |
| 277 | /* H W G CG */ |
| 278 | b->Args({28 * 28, 2, 88}); |
| 279 | |
| 280 | /******** Stage 3 ********/ |
| 281 | /* H W G CG */ |
| 282 | b->Args({14 * 14, 2, 176}); |
| 283 | |
| 284 | /******** Stage 4 ********/ |
| 285 | /* H W G CG */ |
| 286 | b->Args({ 7 * 7, 2, 352}); |
| 287 | } |
| 288 | |
| 289 | static void ShuffleNetV2x2_0Arguments(benchmark::internal::Benchmark* b) |
| 290 | { |
| 291 | b->ArgNames({"N", "G", "GC"}); |
| 292 | |
| 293 | /******** Stage 2 ********/ |
| 294 | /* H W G CG */ |
| 295 | b->Args({28 * 28, 2, 122}); |
| 296 | |
| 297 | /******** Stage 3 ********/ |
| 298 | /* H W G CG */ |
| 299 | b->Args({14 * 14, 2, 244}); |
| 300 | |
| 301 | /******** Stage 4 ********/ |
| 302 | /* H W G CG */ |
| 303 | b->Args({ 7 * 7, 2, 488}); |
| 304 | } |
| 305 | |
| 306 | BENCHMARK_CAPTURE(channel_shuffle_x8, shufflenet_v1_g2, "ShuffleNet v1 (2 groups)")->Apply(ShuffleNetV1G2Arguments)->UseRealTime(); |
| 307 | BENCHMARK_CAPTURE(channel_shuffle_x8, shufflenet_v1_g3, "ShuffleNet v1 (3 groups)")->Apply(ShuffleNetV1G3Arguments)->UseRealTime(); |
| 308 | BENCHMARK_CAPTURE(channel_shuffle_x8, shufflenet_v1_g4, "ShuffleNet v1 (4 groups)")->Apply(ShuffleNetV1G4Arguments)->UseRealTime(); |
| 309 | BENCHMARK_CAPTURE(channel_shuffle_x8, shufflenet_v1_g8, "ShuffleNet v1 (8 groups)")->Apply(ShuffleNetV1G8Arguments)->UseRealTime(); |
| 310 | BENCHMARK_CAPTURE(channel_shuffle_x8, shufflenet_v2_x05, "ShuffleNet v2 x0.5")->Apply(ShuffleNetV2x0_5Arguments)->UseRealTime(); |
| 311 | BENCHMARK_CAPTURE(channel_shuffle_x8, shufflenet_v2_x10, "ShuffleNet v2 x1.0")->Apply(ShuffleNetV2x1_0Arguments)->UseRealTime(); |
| 312 | BENCHMARK_CAPTURE(channel_shuffle_x8, shufflenet_v2_x15, "ShuffleNet v2 x1.5")->Apply(ShuffleNetV2x1_5Arguments)->UseRealTime(); |
| 313 | BENCHMARK_CAPTURE(channel_shuffle_x8, shufflenet_v2_x20, "ShuffleNet v2 x2.0")->Apply(ShuffleNetV2x2_0Arguments)->UseRealTime(); |
| 314 | |
| 315 | BENCHMARK_CAPTURE(channel_shuffle_x32, shufflenet_v1_g2, "ShuffleNet v1 (2 groups)")->Apply(ShuffleNetV1G2Arguments)->UseRealTime(); |
| 316 | BENCHMARK_CAPTURE(channel_shuffle_x32, shufflenet_v1_g3, "ShuffleNet v1 (3 groups)")->Apply(ShuffleNetV1G3Arguments)->UseRealTime(); |
| 317 | BENCHMARK_CAPTURE(channel_shuffle_x32, shufflenet_v1_g4, "ShuffleNet v1 (4 groups)")->Apply(ShuffleNetV1G4Arguments)->UseRealTime(); |
| 318 | BENCHMARK_CAPTURE(channel_shuffle_x32, shufflenet_v1_g8, "ShuffleNet v1 (8 groups)")->Apply(ShuffleNetV1G8Arguments)->UseRealTime(); |
| 319 | BENCHMARK_CAPTURE(channel_shuffle_x32, shufflenet_v2_x05, "ShuffleNet v2 x0.5")->Apply(ShuffleNetV2x0_5Arguments)->UseRealTime(); |
| 320 | BENCHMARK_CAPTURE(channel_shuffle_x32, shufflenet_v2_x10, "ShuffleNet v2 x1.0")->Apply(ShuffleNetV2x1_0Arguments)->UseRealTime(); |
| 321 | BENCHMARK_CAPTURE(channel_shuffle_x32, shufflenet_v2_x15, "ShuffleNet v2 x1.5")->Apply(ShuffleNetV2x1_5Arguments)->UseRealTime(); |
| 322 | BENCHMARK_CAPTURE(channel_shuffle_x32, shufflenet_v2_x20, "ShuffleNet v2 x2.0")->Apply(ShuffleNetV2x2_0Arguments)->UseRealTime(); |
| 323 | |
| 324 | #ifndef XNNPACK_BENCHMARK_NO_MAIN |
| 325 | BENCHMARK_MAIN(); |
| 326 | #endif |