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 | // |
Marat Dukhan | 401d97b | 2020-12-02 12:32:09 -0800 | [diff] [blame] | 4 | // Copyright 2020 Google LLC |
| 5 | // |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 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> |
Marat Dukhan | 401d97b | 2020-12-02 12:32:09 -0800 | [diff] [blame] | 10 | #include <array> |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 11 | #include <cmath> |
| 12 | #include <functional> |
Marat Dukhan | 5ce30d9 | 2020-04-14 03:31:26 -0700 | [diff] [blame] | 13 | #include <limits> |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 14 | #include <random> |
| 15 | #include <vector> |
| 16 | |
| 17 | #include <xnnpack.h> |
| 18 | |
| 19 | #include <benchmark/benchmark.h> |
Frank Barchard | bb4c18b | 2019-09-30 11:05:52 -0700 | [diff] [blame] | 20 | #include "bench/utils.h" |
Marat Dukhan | c3b9e86 | 2019-11-17 13:18:54 -0800 | [diff] [blame] | 21 | #ifdef BENCHMARK_TENSORFLOW_LITE |
| 22 | #include "flatbuffers/include/flatbuffers/flatbuffers.h" |
| 23 | #include "tensorflow/lite/interpreter.h" |
| 24 | #include "tensorflow/lite/kernels/register.h" |
| 25 | #include "tensorflow/lite/model.h" |
| 26 | #include "tensorflow/lite/schema/schema_generated.h" |
| 27 | #include "tensorflow/lite/version.h" |
| 28 | #endif // BENCHMARK_TENSORFLOW_LITE |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 29 | |
Marat Dukhan | 401d97b | 2020-12-02 12:32:09 -0800 | [diff] [blame] | 30 | |
Chao Mei | c664027 | 2020-07-23 09:35:11 -0700 | [diff] [blame] | 31 | #ifndef XNN_NO_QU8_OPERATORS |
Marat Dukhan | 08b7a97 | 2020-07-14 18:17:29 -0700 | [diff] [blame] | 32 | static void xnnpack_sigmoid_qu8(benchmark::State& state) { |
Marat Dukhan | c3b9e86 | 2019-11-17 13:18:54 -0800 | [diff] [blame] | 33 | const size_t batch_size = state.range(0); |
| 34 | const size_t channels = state.range(1); |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 35 | |
| 36 | std::random_device random_device; |
| 37 | auto rng = std::mt19937(random_device()); |
Marat Dukhan | 401d97b | 2020-12-02 12:32:09 -0800 | [diff] [blame] | 38 | auto u8rng = std::bind( |
| 39 | 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] | 40 | |
| 41 | std::vector<uint8_t> input(batch_size * channels); |
| 42 | std::vector<uint8_t> output(batch_size * channels); |
| 43 | std::generate(input.begin(), input.end(), std::ref(u8rng)); |
| 44 | std::fill(output.begin(), output.end(), 0xA5); |
| 45 | |
Marat Dukhan | 04f03be | 2019-11-19 12:36:47 -0800 | [diff] [blame] | 46 | xnn_status status = xnn_initialize(nullptr /* allocator */); |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 47 | if (status != xnn_status_success) { |
| 48 | state.SkipWithError("failed to initialize XNNPACK"); |
| 49 | return; |
| 50 | } |
| 51 | |
| 52 | xnn_operator_t sigmoid_op = nullptr; |
Marat Dukhan | 08b7a97 | 2020-07-14 18:17:29 -0700 | [diff] [blame] | 53 | status = xnn_create_sigmoid_nc_qu8( |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 54 | channels, channels /* input stride */, channels /* output stride */, |
| 55 | 127 /* input zero point */, 1.0f /* input scale */, |
| 56 | 0 /* output zero point */, 1.0f / 256.0f /* output scale */, |
| 57 | 0 /* output min */, 255 /* output max */, |
| 58 | 0 /* flags */, &sigmoid_op); |
| 59 | if (status != xnn_status_success || sigmoid_op == nullptr) { |
| 60 | state.SkipWithError("failed to create Sigmoid operator"); |
| 61 | return; |
| 62 | } |
| 63 | |
Marat Dukhan | 08b7a97 | 2020-07-14 18:17:29 -0700 | [diff] [blame] | 64 | status = xnn_setup_sigmoid_nc_qu8( |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 65 | sigmoid_op, |
| 66 | batch_size, |
| 67 | input.data(), output.data(), |
| 68 | nullptr /* thread pool */); |
| 69 | if (status != xnn_status_success) { |
| 70 | state.SkipWithError("failed to setup Sigmoid operator"); |
| 71 | return; |
| 72 | } |
| 73 | |
| 74 | for (auto _ : state) { |
| 75 | status = xnn_run_operator(sigmoid_op, nullptr /* thread pool */); |
| 76 | if (status != xnn_status_success) { |
| 77 | state.SkipWithError("failed to run Sigmoid operator"); |
| 78 | return; |
| 79 | } |
| 80 | } |
| 81 | |
| 82 | status = xnn_delete_operator(sigmoid_op); |
| 83 | if (status != xnn_status_success) { |
| 84 | state.SkipWithError("failed to delete Sigmoid operator"); |
| 85 | return; |
| 86 | } |
| 87 | |
Marat Dukhan | 401d97b | 2020-12-02 12:32:09 -0800 | [diff] [blame] | 88 | const uint64_t cpu_frequency = benchmark::utils::GetCurrentCpuFrequency(); |
| 89 | if (cpu_frequency != 0) { |
| 90 | state.counters["cpufreq"] = cpu_frequency; |
| 91 | } |
Frank Barchard | bb4c18b | 2019-09-30 11:05:52 -0700 | [diff] [blame] | 92 | |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 93 | const size_t elements_per_iteration = batch_size * channels; |
| 94 | state.counters["elements"] = |
| 95 | benchmark::Counter(uint64_t(state.iterations()) * elements_per_iteration, benchmark::Counter::kIsRate); |
| 96 | |
| 97 | const size_t bytes_per_iteration = 2 * elements_per_iteration * sizeof(uint8_t); |
| 98 | state.counters["bytes"] = |
| 99 | benchmark::Counter(uint64_t(state.iterations()) * bytes_per_iteration, benchmark::Counter::kIsRate); |
| 100 | } |
Chao Mei | c664027 | 2020-07-23 09:35:11 -0700 | [diff] [blame] | 101 | #endif // XNN_NO_QU8_OPERATORS |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 102 | |
Marat Dukhan | c3b9e86 | 2019-11-17 13:18:54 -0800 | [diff] [blame] | 103 | static void xnnpack_sigmoid_f32(benchmark::State& state) { |
| 104 | const size_t batch_size = state.range(0); |
| 105 | const size_t channels = state.range(1); |
Marat Dukhan | 346a9e5 | 2019-11-15 09:06:30 -0800 | [diff] [blame] | 106 | |
| 107 | std::random_device random_device; |
| 108 | auto rng = std::mt19937(random_device()); |
Marat Dukhan | 44f0ca7 | 2020-08-02 21:46:58 -0700 | [diff] [blame] | 109 | auto f32rng = std::bind(std::uniform_real_distribution<float>(-10.0f, 10.0f), std::ref(rng)); |
Marat Dukhan | 346a9e5 | 2019-11-15 09:06:30 -0800 | [diff] [blame] | 110 | |
| 111 | std::vector<float> input(batch_size * channels); |
| 112 | std::vector<float> output(batch_size * channels); |
| 113 | std::generate(input.begin(), input.end(), std::ref(f32rng)); |
| 114 | std::fill(output.begin(), output.end(), std::nanf("")); |
| 115 | |
Marat Dukhan | 04f03be | 2019-11-19 12:36:47 -0800 | [diff] [blame] | 116 | xnn_status status = xnn_initialize(nullptr /* allocator */); |
Marat Dukhan | 346a9e5 | 2019-11-15 09:06:30 -0800 | [diff] [blame] | 117 | if (status != xnn_status_success) { |
| 118 | state.SkipWithError("failed to initialize XNNPACK"); |
| 119 | return; |
| 120 | } |
| 121 | |
| 122 | xnn_operator_t sigmoid_op = nullptr; |
| 123 | status = xnn_create_sigmoid_nc_f32( |
| 124 | channels, channels /* input stride */, channels /* output stride */, |
| 125 | 0 /* flags */, &sigmoid_op); |
| 126 | if (status != xnn_status_success || sigmoid_op == nullptr) { |
| 127 | state.SkipWithError("failed to create Sigmoid operator"); |
| 128 | return; |
| 129 | } |
| 130 | |
| 131 | status = xnn_setup_sigmoid_nc_f32( |
| 132 | sigmoid_op, |
| 133 | batch_size, |
| 134 | input.data(), output.data(), |
| 135 | nullptr /* thread pool */); |
| 136 | if (status != xnn_status_success) { |
| 137 | state.SkipWithError("failed to setup Sigmoid operator"); |
| 138 | return; |
| 139 | } |
| 140 | |
| 141 | for (auto _ : state) { |
| 142 | status = xnn_run_operator(sigmoid_op, nullptr /* thread pool */); |
| 143 | if (status != xnn_status_success) { |
| 144 | state.SkipWithError("failed to run Sigmoid operator"); |
| 145 | return; |
| 146 | } |
| 147 | } |
| 148 | |
| 149 | status = xnn_delete_operator(sigmoid_op); |
| 150 | if (status != xnn_status_success) { |
| 151 | state.SkipWithError("failed to delete Sigmoid operator"); |
| 152 | return; |
| 153 | } |
| 154 | |
Marat Dukhan | 401d97b | 2020-12-02 12:32:09 -0800 | [diff] [blame] | 155 | const uint64_t cpu_frequency = benchmark::utils::GetCurrentCpuFrequency(); |
| 156 | if (cpu_frequency != 0) { |
| 157 | state.counters["cpufreq"] = cpu_frequency; |
| 158 | } |
Marat Dukhan | 346a9e5 | 2019-11-15 09:06:30 -0800 | [diff] [blame] | 159 | |
| 160 | const size_t elements_per_iteration = batch_size * channels; |
| 161 | state.counters["elements"] = |
| 162 | benchmark::Counter(uint64_t(state.iterations()) * elements_per_iteration, benchmark::Counter::kIsRate); |
| 163 | |
| 164 | const size_t bytes_per_iteration = 2 * elements_per_iteration * sizeof(float); |
| 165 | state.counters["bytes"] = |
| 166 | benchmark::Counter(uint64_t(state.iterations()) * bytes_per_iteration, benchmark::Counter::kIsRate); |
| 167 | } |
| 168 | |
Marat Dukhan | c3b9e86 | 2019-11-17 13:18:54 -0800 | [diff] [blame] | 169 | #ifdef BENCHMARK_TENSORFLOW_LITE |
| 170 | static void tflite_sigmoid_f32(benchmark::State& state) { |
| 171 | const size_t batch_size = state.range(0); |
| 172 | const size_t channels = state.range(1); |
| 173 | |
| 174 | std::random_device random_device; |
| 175 | auto rng = std::mt19937(random_device()); |
Marat Dukhan | 44f0ca7 | 2020-08-02 21:46:58 -0700 | [diff] [blame] | 176 | auto f32rng = std::bind(std::uniform_real_distribution<float>(-10.0f, 10.0f), std::ref(rng)); |
Marat Dukhan | c3b9e86 | 2019-11-17 13:18:54 -0800 | [diff] [blame] | 177 | |
| 178 | flatbuffers::FlatBufferBuilder builder; |
Marat Dukhan | 401d97b | 2020-12-02 12:32:09 -0800 | [diff] [blame] | 179 | const flatbuffers::Offset<tflite::OperatorCode> operator_code = |
Marat Dukhan | c3b9e86 | 2019-11-17 13:18:54 -0800 | [diff] [blame] | 180 | CreateOperatorCode(builder, tflite::BuiltinOperator_LOGISTIC); |
| 181 | |
Marat Dukhan | 401d97b | 2020-12-02 12:32:09 -0800 | [diff] [blame] | 182 | const std::array<flatbuffers::Offset<tflite::Buffer>, 1> buffers{{ |
Marat Dukhan | c3b9e86 | 2019-11-17 13:18:54 -0800 | [diff] [blame] | 183 | tflite::CreateBuffer(builder, builder.CreateVector({})), |
Marat Dukhan | 401d97b | 2020-12-02 12:32:09 -0800 | [diff] [blame] | 184 | }}; |
Marat Dukhan | c3b9e86 | 2019-11-17 13:18:54 -0800 | [diff] [blame] | 185 | |
Marat Dukhan | 401d97b | 2020-12-02 12:32:09 -0800 | [diff] [blame] | 186 | const std::array<int32_t, 4> input_shape{{ |
Marat Dukhan | c3b9e86 | 2019-11-17 13:18:54 -0800 | [diff] [blame] | 187 | static_cast<int32_t>(batch_size), |
| 188 | static_cast<int32_t>(1 /* height */), |
| 189 | static_cast<int32_t>(1 /* width */), |
| 190 | static_cast<int32_t>(channels) |
Marat Dukhan | 401d97b | 2020-12-02 12:32:09 -0800 | [diff] [blame] | 191 | }}; |
| 192 | const std::array<int32_t, 4> output_shape{{ |
Marat Dukhan | c3b9e86 | 2019-11-17 13:18:54 -0800 | [diff] [blame] | 193 | static_cast<int32_t>(batch_size), |
| 194 | static_cast<int32_t>(1 /* height */), |
| 195 | static_cast<int32_t>(1 /* width */), |
| 196 | static_cast<int32_t>(channels) |
Marat Dukhan | 401d97b | 2020-12-02 12:32:09 -0800 | [diff] [blame] | 197 | }}; |
Marat Dukhan | c3b9e86 | 2019-11-17 13:18:54 -0800 | [diff] [blame] | 198 | |
Marat Dukhan | 401d97b | 2020-12-02 12:32:09 -0800 | [diff] [blame] | 199 | const std::array<flatbuffers::Offset<tflite::Tensor>, 2> tensors{{ |
Marat Dukhan | c3b9e86 | 2019-11-17 13:18:54 -0800 | [diff] [blame] | 200 | tflite::CreateTensor(builder, |
Marat Dukhan | 401d97b | 2020-12-02 12:32:09 -0800 | [diff] [blame] | 201 | builder.CreateVector<int32_t>(input_shape.data(), input_shape.size()), |
Marat Dukhan | c3b9e86 | 2019-11-17 13:18:54 -0800 | [diff] [blame] | 202 | tflite::TensorType_FLOAT32), |
| 203 | tflite::CreateTensor(builder, |
Marat Dukhan | 401d97b | 2020-12-02 12:32:09 -0800 | [diff] [blame] | 204 | builder.CreateVector<int32_t>(output_shape.data(), output_shape.size()), |
Marat Dukhan | c3b9e86 | 2019-11-17 13:18:54 -0800 | [diff] [blame] | 205 | tflite::TensorType_FLOAT32), |
Marat Dukhan | 401d97b | 2020-12-02 12:32:09 -0800 | [diff] [blame] | 206 | }}; |
Marat Dukhan | c3b9e86 | 2019-11-17 13:18:54 -0800 | [diff] [blame] | 207 | |
Marat Dukhan | 401d97b | 2020-12-02 12:32:09 -0800 | [diff] [blame] | 208 | const std::array<int32_t, 1> op_inputs{{ 0 }}; |
| 209 | const std::array<int32_t, 1> op_outputs{{ 1 }}; |
Marat Dukhan | c3b9e86 | 2019-11-17 13:18:54 -0800 | [diff] [blame] | 210 | flatbuffers::Offset<tflite::Operator> op = tflite::CreateOperator( |
| 211 | builder, |
| 212 | 0 /* opcode_index */, |
Marat Dukhan | 401d97b | 2020-12-02 12:32:09 -0800 | [diff] [blame] | 213 | builder.CreateVector<int32_t>(op_inputs.data(), op_inputs.size()), |
| 214 | builder.CreateVector<int32_t>(op_outputs.data(), op_outputs.size())); |
Marat Dukhan | c3b9e86 | 2019-11-17 13:18:54 -0800 | [diff] [blame] | 215 | |
Marat Dukhan | 401d97b | 2020-12-02 12:32:09 -0800 | [diff] [blame] | 216 | const std::array<int32_t, 1> graph_inputs{{ 0 }}; |
| 217 | const std::array<int32_t, 1> graph_outputs{{ 1 }}; |
| 218 | const flatbuffers::Offset<tflite::SubGraph> subgraph = tflite::CreateSubGraph( |
Marat Dukhan | c3b9e86 | 2019-11-17 13:18:54 -0800 | [diff] [blame] | 219 | builder, |
Marat Dukhan | 401d97b | 2020-12-02 12:32:09 -0800 | [diff] [blame] | 220 | builder.CreateVector(tensors.data(), tensors.size()), |
| 221 | builder.CreateVector<int32_t>(graph_inputs.data(), graph_inputs.size()), |
| 222 | builder.CreateVector<int32_t>(graph_outputs.data(), graph_outputs.size()), |
Marat Dukhan | c3b9e86 | 2019-11-17 13:18:54 -0800 | [diff] [blame] | 223 | builder.CreateVector(&op, 1)); |
| 224 | |
Marat Dukhan | 401d97b | 2020-12-02 12:32:09 -0800 | [diff] [blame] | 225 | const flatbuffers::Offset<tflite::Model> model_buffer = tflite::CreateModel(builder, |
Marat Dukhan | c3b9e86 | 2019-11-17 13:18:54 -0800 | [diff] [blame] | 226 | TFLITE_SCHEMA_VERSION, |
| 227 | builder.CreateVector(&operator_code, 1), |
| 228 | builder.CreateVector(&subgraph, 1), |
Marat Dukhan | 401d97b | 2020-12-02 12:32:09 -0800 | [diff] [blame] | 229 | builder.CreateString("Sigmoid model"), |
| 230 | builder.CreateVector(buffers.data(), buffers.size())); |
Marat Dukhan | c3b9e86 | 2019-11-17 13:18:54 -0800 | [diff] [blame] | 231 | |
| 232 | builder.Finish(model_buffer); |
| 233 | |
| 234 | const tflite::Model* model = tflite::GetModel(builder.GetBufferPointer()); |
Chao Mei | f9fdaa7 | 2021-05-18 23:04:34 -0700 | [diff] [blame] | 235 | tflite::ops::builtin::BuiltinOpResolverWithoutDefaultDelegates resolver; |
Marat Dukhan | c3b9e86 | 2019-11-17 13:18:54 -0800 | [diff] [blame] | 236 | tflite::InterpreterBuilder interpreterBuilder(model, resolver); |
| 237 | std::unique_ptr<tflite::Interpreter> interpreter; |
| 238 | if (interpreterBuilder(&interpreter) != kTfLiteOk) { |
| 239 | state.SkipWithError("failed to create TFLite interpreter"); |
| 240 | return; |
| 241 | } |
| 242 | if (interpreter == nullptr) { |
| 243 | state.SkipWithError("TFLite interpreter is null"); |
| 244 | return; |
| 245 | } |
| 246 | interpreter->SetNumThreads(1); |
| 247 | |
| 248 | if (interpreter->AllocateTensors() != kTfLiteOk) { |
| 249 | state.SkipWithError("failed to allocate tensors"); |
| 250 | return; |
| 251 | } |
| 252 | |
| 253 | std::generate( |
| 254 | interpreter->typed_tensor<float>(0), |
| 255 | interpreter->typed_tensor<float>(0) + batch_size * channels, |
| 256 | std::ref(f32rng)); |
| 257 | |
| 258 | for (auto _ : state) { |
| 259 | if (interpreter->Invoke() != kTfLiteOk) { |
| 260 | state.SkipWithError("failed to invoke TFLite interpreter"); |
| 261 | return; |
| 262 | } |
| 263 | } |
| 264 | |
Marat Dukhan | 401d97b | 2020-12-02 12:32:09 -0800 | [diff] [blame] | 265 | const uint64_t cpu_frequency = benchmark::utils::GetCurrentCpuFrequency(); |
| 266 | if (cpu_frequency != 0) { |
| 267 | state.counters["cpufreq"] = cpu_frequency; |
| 268 | } |
Marat Dukhan | c3b9e86 | 2019-11-17 13:18:54 -0800 | [diff] [blame] | 269 | |
| 270 | const size_t elements_per_iteration = batch_size * channels; |
| 271 | state.counters["elements"] = |
| 272 | benchmark::Counter(uint64_t(state.iterations()) * elements_per_iteration, benchmark::Counter::kIsRate); |
| 273 | |
| 274 | const size_t bytes_per_iteration = 2 * elements_per_iteration * sizeof(float); |
| 275 | state.counters["bytes"] = |
| 276 | benchmark::Counter(uint64_t(state.iterations()) * bytes_per_iteration, benchmark::Counter::kIsRate); |
| 277 | |
| 278 | interpreter.reset(); |
| 279 | } |
| 280 | #endif // BENCHMARK_TENSORFLOW_LITE |
| 281 | |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 282 | static void CharacteristicArguments(benchmark::internal::Benchmark* b) |
| 283 | { |
| 284 | b->ArgNames({"N", "C"}); |
| 285 | |
| 286 | int32_t c = 16; |
| 287 | for (int32_t n = 224; n >= 7; n /= 2) { |
| 288 | b->Args({n * n, c}); |
| 289 | c *= 2; |
| 290 | } |
| 291 | } |
| 292 | |
Chao Mei | c664027 | 2020-07-23 09:35:11 -0700 | [diff] [blame] | 293 | #ifndef XNN_NO_QU8_OPERATORS |
Marat Dukhan | 08b7a97 | 2020-07-14 18:17:29 -0700 | [diff] [blame] | 294 | BENCHMARK(xnnpack_sigmoid_qu8)->Apply(CharacteristicArguments)->UseRealTime(); |
Chao Mei | c664027 | 2020-07-23 09:35:11 -0700 | [diff] [blame] | 295 | #endif // XNN_NO_QU8_OPERATORS |
Marat Dukhan | c3b9e86 | 2019-11-17 13:18:54 -0800 | [diff] [blame] | 296 | BENCHMARK(xnnpack_sigmoid_f32)->Apply(CharacteristicArguments)->UseRealTime(); |
| 297 | |
| 298 | #ifdef BENCHMARK_TENSORFLOW_LITE |
| 299 | BENCHMARK(tflite_sigmoid_f32)->Apply(CharacteristicArguments)->UseRealTime(); |
| 300 | #endif // BENCHMARK_TENSORFLOW_LITE |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 301 | |
| 302 | #ifndef XNNPACK_BENCHMARK_NO_MAIN |
| 303 | BENCHMARK_MAIN(); |
| 304 | #endif |