Laurent Carlier | 749294b | 2020-06-01 09:03:17 +0100 | [diff] [blame] | 1 | // |
Sadik Armagan | a9c2ce1 | 2020-07-14 10:02:22 +0100 | [diff] [blame] | 2 | // Copyright © 2017 Arm Ltd and Contributors. All rights reserved. |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | #include <armnn/ArmNN.hpp> |
| 6 | #include <armnn/TypesUtils.hpp> |
Matthew Sloyan | 80c6b14 | 2020-09-08 12:00:32 +0100 | [diff] [blame] | 7 | #include <armnn/utility/NumericCast.hpp> |
alered01 | a7227ac | 2020-05-07 14:58:29 +0100 | [diff] [blame] | 8 | #include <armnn/utility/Timer.hpp> |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 9 | |
| 10 | #if defined(ARMNN_SERIALIZER) |
| 11 | #include "armnnDeserializer/IDeserializer.hpp" |
| 12 | #endif |
| 13 | #if defined(ARMNN_CAFFE_PARSER) |
| 14 | #include "armnnCaffeParser/ICaffeParser.hpp" |
| 15 | #endif |
| 16 | #if defined(ARMNN_TF_PARSER) |
| 17 | #include "armnnTfParser/ITfParser.hpp" |
| 18 | #endif |
| 19 | #if defined(ARMNN_TF_LITE_PARSER) |
| 20 | #include "armnnTfLiteParser/ITfLiteParser.hpp" |
| 21 | #endif |
| 22 | #if defined(ARMNN_ONNX_PARSER) |
| 23 | #include "armnnOnnxParser/IOnnxParser.hpp" |
| 24 | #endif |
| 25 | #include "CsvReader.hpp" |
| 26 | #include "../InferenceTest.hpp" |
| 27 | |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 28 | #include <Profiling.hpp> |
Aron Virginas-Tar | c82c873 | 2019-10-24 17:07:43 +0100 | [diff] [blame] | 29 | #include <ResolveType.hpp> |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 30 | |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 31 | #include <boost/program_options.hpp> |
James Ward | 6d9f5c5 | 2020-09-28 11:56:35 +0100 | [diff] [blame] | 32 | #include <mapbox/variant.hpp> |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 33 | |
| 34 | #include <iostream> |
| 35 | #include <fstream> |
| 36 | #include <functional> |
| 37 | #include <future> |
| 38 | #include <algorithm> |
| 39 | #include <iterator> |
| 40 | |
| 41 | namespace |
| 42 | { |
| 43 | |
| 44 | // Configure boost::program_options for command-line parsing and validation. |
| 45 | namespace po = boost::program_options; |
| 46 | |
| 47 | template<typename T, typename TParseElementFunc> |
| 48 | std::vector<T> ParseArrayImpl(std::istream& stream, TParseElementFunc parseElementFunc, const char * chars = "\t ,:") |
| 49 | { |
| 50 | std::vector<T> result; |
| 51 | // Processes line-by-line. |
| 52 | std::string line; |
| 53 | while (std::getline(stream, line)) |
| 54 | { |
David Monahan | a8837bf | 2020-04-16 10:01:56 +0100 | [diff] [blame] | 55 | std::vector<std::string> tokens = armnn::stringUtils::StringTokenizer(line, chars); |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 56 | for (const std::string& token : tokens) |
| 57 | { |
| 58 | if (!token.empty()) // See https://stackoverflow.com/questions/10437406/ |
| 59 | { |
| 60 | try |
| 61 | { |
| 62 | result.push_back(parseElementFunc(token)); |
| 63 | } |
| 64 | catch (const std::exception&) |
| 65 | { |
Derek Lamberti | 0844697 | 2019-11-26 16:38:31 +0000 | [diff] [blame] | 66 | ARMNN_LOG(error) << "'" << token << "' is not a valid number. It has been ignored."; |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 67 | } |
| 68 | } |
| 69 | } |
| 70 | } |
| 71 | |
| 72 | return result; |
| 73 | } |
| 74 | |
| 75 | bool CheckOption(const po::variables_map& vm, |
| 76 | const char* option) |
| 77 | { |
| 78 | // Check that the given option is valid. |
| 79 | if (option == nullptr) |
| 80 | { |
| 81 | return false; |
| 82 | } |
| 83 | |
| 84 | // Check whether 'option' is provided. |
| 85 | return vm.find(option) != vm.end(); |
| 86 | } |
| 87 | |
| 88 | void CheckOptionDependency(const po::variables_map& vm, |
| 89 | const char* option, |
| 90 | const char* required) |
| 91 | { |
| 92 | // Check that the given options are valid. |
| 93 | if (option == nullptr || required == nullptr) |
| 94 | { |
| 95 | throw po::error("Invalid option to check dependency for"); |
| 96 | } |
| 97 | |
| 98 | // Check that if 'option' is provided, 'required' is also provided. |
| 99 | if (CheckOption(vm, option) && !vm[option].defaulted()) |
| 100 | { |
| 101 | if (CheckOption(vm, required) == 0 || vm[required].defaulted()) |
| 102 | { |
| 103 | throw po::error(std::string("Option '") + option + "' requires option '" + required + "'."); |
| 104 | } |
| 105 | } |
| 106 | } |
| 107 | |
| 108 | void CheckOptionDependencies(const po::variables_map& vm) |
| 109 | { |
| 110 | CheckOptionDependency(vm, "model-path", "model-format"); |
| 111 | CheckOptionDependency(vm, "model-path", "input-name"); |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 112 | CheckOptionDependency(vm, "model-path", "output-name"); |
| 113 | CheckOptionDependency(vm, "input-tensor-shape", "model-path"); |
| 114 | } |
| 115 | |
| 116 | template<armnn::DataType NonQuantizedType> |
| 117 | auto ParseDataArray(std::istream & stream); |
| 118 | |
| 119 | template<armnn::DataType QuantizedType> |
| 120 | auto ParseDataArray(std::istream& stream, |
| 121 | const float& quantizationScale, |
| 122 | const int32_t& quantizationOffset); |
| 123 | |
| 124 | template<> |
| 125 | auto ParseDataArray<armnn::DataType::Float32>(std::istream & stream) |
| 126 | { |
| 127 | return ParseArrayImpl<float>(stream, [](const std::string& s) { return std::stof(s); }); |
| 128 | } |
| 129 | |
| 130 | template<> |
| 131 | auto ParseDataArray<armnn::DataType::Signed32>(std::istream & stream) |
| 132 | { |
| 133 | return ParseArrayImpl<int>(stream, [](const std::string & s) { return std::stoi(s); }); |
| 134 | } |
| 135 | |
| 136 | template<> |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 137 | auto ParseDataArray<armnn::DataType::QAsymmU8>(std::istream& stream) |
Narumol Prangnawarat | 610256f | 2019-06-26 15:10:46 +0100 | [diff] [blame] | 138 | { |
| 139 | return ParseArrayImpl<uint8_t>(stream, |
Matthew Sloyan | 80c6b14 | 2020-09-08 12:00:32 +0100 | [diff] [blame] | 140 | [](const std::string& s) { return armnn::numeric_cast<uint8_t>(std::stoi(s)); }); |
Narumol Prangnawarat | 610256f | 2019-06-26 15:10:46 +0100 | [diff] [blame] | 141 | } |
| 142 | |
| 143 | template<> |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 144 | auto ParseDataArray<armnn::DataType::QAsymmU8>(std::istream& stream, |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 145 | const float& quantizationScale, |
| 146 | const int32_t& quantizationOffset) |
| 147 | { |
| 148 | return ParseArrayImpl<uint8_t>(stream, |
| 149 | [&quantizationScale, &quantizationOffset](const std::string & s) |
| 150 | { |
Matthew Sloyan | 80c6b14 | 2020-09-08 12:00:32 +0100 | [diff] [blame] | 151 | return armnn::numeric_cast<uint8_t>( |
Rob Hughes | 93667b1 | 2019-09-23 16:24:05 +0100 | [diff] [blame] | 152 | armnn::Quantize<uint8_t>(std::stof(s), |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 153 | quantizationScale, |
| 154 | quantizationOffset)); |
| 155 | }); |
| 156 | } |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 157 | std::vector<unsigned int> ParseArray(std::istream& stream) |
| 158 | { |
| 159 | return ParseArrayImpl<unsigned int>(stream, |
Matthew Sloyan | 80c6b14 | 2020-09-08 12:00:32 +0100 | [diff] [blame] | 160 | [](const std::string& s) { return armnn::numeric_cast<unsigned int>(std::stoi(s)); }); |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 161 | } |
| 162 | |
| 163 | std::vector<std::string> ParseStringList(const std::string & inputString, const char * delimiter) |
| 164 | { |
| 165 | std::stringstream stream(inputString); |
David Monahan | a8837bf | 2020-04-16 10:01:56 +0100 | [diff] [blame] | 166 | return ParseArrayImpl<std::string>(stream, [](const std::string& s) { |
| 167 | return armnn::stringUtils::StringTrimCopy(s); }, delimiter); |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 168 | } |
| 169 | |
| 170 | void RemoveDuplicateDevices(std::vector<armnn::BackendId>& computeDevices) |
| 171 | { |
| 172 | // Mark the duplicate devices as 'Undefined'. |
| 173 | for (auto i = computeDevices.begin(); i != computeDevices.end(); ++i) |
| 174 | { |
| 175 | for (auto j = std::next(i); j != computeDevices.end(); ++j) |
| 176 | { |
| 177 | if (*j == *i) |
| 178 | { |
| 179 | *j = armnn::Compute::Undefined; |
| 180 | } |
| 181 | } |
| 182 | } |
| 183 | |
| 184 | // Remove 'Undefined' devices. |
| 185 | computeDevices.erase(std::remove(computeDevices.begin(), computeDevices.end(), armnn::Compute::Undefined), |
| 186 | computeDevices.end()); |
| 187 | } |
| 188 | |
James Ward | 6d9f5c5 | 2020-09-28 11:56:35 +0100 | [diff] [blame] | 189 | struct TensorPrinter |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 190 | { |
Georgios Pinitas | 50311ba | 2020-02-18 13:25:23 +0000 | [diff] [blame] | 191 | TensorPrinter(const std::string& binding, |
| 192 | const armnn::TensorInfo& info, |
| 193 | const std::string& outputTensorFile, |
| 194 | bool dequantizeOutput) |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 195 | : m_OutputBinding(binding) |
| 196 | , m_Scale(info.GetQuantizationScale()) |
| 197 | , m_Offset(info.GetQuantizationOffset()) |
Sadik Armagan | 7708628 | 2019-09-02 11:46:28 +0100 | [diff] [blame] | 198 | , m_OutputTensorFile(outputTensorFile) |
Georgios Pinitas | 50311ba | 2020-02-18 13:25:23 +0000 | [diff] [blame] | 199 | , m_DequantizeOutput(dequantizeOutput) |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 200 | {} |
| 201 | |
| 202 | void operator()(const std::vector<float>& values) |
| 203 | { |
Sadik Armagan | 7708628 | 2019-09-02 11:46:28 +0100 | [diff] [blame] | 204 | ForEachValue(values, [](float value) |
| 205 | { |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 206 | printf("%f ", value); |
| 207 | }); |
Sadik Armagan | 7708628 | 2019-09-02 11:46:28 +0100 | [diff] [blame] | 208 | WriteToFile(values); |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 209 | } |
| 210 | |
| 211 | void operator()(const std::vector<uint8_t>& values) |
| 212 | { |
Georgios Pinitas | 50311ba | 2020-02-18 13:25:23 +0000 | [diff] [blame] | 213 | if(m_DequantizeOutput) |
| 214 | { |
| 215 | auto& scale = m_Scale; |
| 216 | auto& offset = m_Offset; |
| 217 | std::vector<float> dequantizedValues; |
| 218 | ForEachValue(values, [&scale, &offset, &dequantizedValues](uint8_t value) |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 219 | { |
Sadik Armagan | 7708628 | 2019-09-02 11:46:28 +0100 | [diff] [blame] | 220 | auto dequantizedValue = armnn::Dequantize(value, scale, offset); |
| 221 | printf("%f ", dequantizedValue); |
| 222 | dequantizedValues.push_back(dequantizedValue); |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 223 | }); |
Georgios Pinitas | 50311ba | 2020-02-18 13:25:23 +0000 | [diff] [blame] | 224 | WriteToFile(dequantizedValues); |
| 225 | } |
| 226 | else |
| 227 | { |
| 228 | const std::vector<int> intValues(values.begin(), values.end()); |
| 229 | operator()(intValues); |
| 230 | } |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 231 | } |
| 232 | |
| 233 | void operator()(const std::vector<int>& values) |
| 234 | { |
| 235 | ForEachValue(values, [](int value) |
| 236 | { |
| 237 | printf("%d ", value); |
| 238 | }); |
Sadik Armagan | 7708628 | 2019-09-02 11:46:28 +0100 | [diff] [blame] | 239 | WriteToFile(values); |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 240 | } |
| 241 | |
| 242 | private: |
| 243 | template<typename Container, typename Delegate> |
| 244 | void ForEachValue(const Container& c, Delegate delegate) |
| 245 | { |
| 246 | std::cout << m_OutputBinding << ": "; |
| 247 | for (const auto& value : c) |
| 248 | { |
| 249 | delegate(value); |
| 250 | } |
| 251 | printf("\n"); |
| 252 | } |
| 253 | |
Sadik Armagan | 7708628 | 2019-09-02 11:46:28 +0100 | [diff] [blame] | 254 | template<typename T> |
| 255 | void WriteToFile(const std::vector<T>& values) |
| 256 | { |
| 257 | if (!m_OutputTensorFile.empty()) |
| 258 | { |
| 259 | std::ofstream outputTensorFile; |
| 260 | outputTensorFile.open(m_OutputTensorFile, std::ofstream::out | std::ofstream::trunc); |
| 261 | if (outputTensorFile.is_open()) |
| 262 | { |
| 263 | outputTensorFile << m_OutputBinding << ": "; |
| 264 | std::copy(values.begin(), values.end(), std::ostream_iterator<T>(outputTensorFile, " ")); |
| 265 | } |
| 266 | else |
| 267 | { |
Derek Lamberti | 0844697 | 2019-11-26 16:38:31 +0000 | [diff] [blame] | 268 | ARMNN_LOG(info) << "Output Tensor File: " << m_OutputTensorFile << " could not be opened!"; |
Sadik Armagan | 7708628 | 2019-09-02 11:46:28 +0100 | [diff] [blame] | 269 | } |
| 270 | outputTensorFile.close(); |
| 271 | } |
| 272 | } |
| 273 | |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 274 | std::string m_OutputBinding; |
| 275 | float m_Scale=0.0f; |
| 276 | int m_Offset=0; |
Sadik Armagan | 7708628 | 2019-09-02 11:46:28 +0100 | [diff] [blame] | 277 | std::string m_OutputTensorFile; |
Georgios Pinitas | 50311ba | 2020-02-18 13:25:23 +0000 | [diff] [blame] | 278 | bool m_DequantizeOutput = false; |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 279 | }; |
| 280 | |
| 281 | |
Aron Virginas-Tar | c82c873 | 2019-10-24 17:07:43 +0100 | [diff] [blame] | 282 | |
| 283 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 284 | std::vector<T> GenerateDummyTensorData(unsigned int numElements) |
| 285 | { |
| 286 | return std::vector<T>(numElements, static_cast<T>(0)); |
| 287 | } |
| 288 | |
James Ward | 6d9f5c5 | 2020-09-28 11:56:35 +0100 | [diff] [blame] | 289 | using TContainer = mapbox::util::variant<std::vector<float>, std::vector<int>, std::vector<unsigned char>>; |
Aron Virginas-Tar | c82c873 | 2019-10-24 17:07:43 +0100 | [diff] [blame] | 290 | using QuantizationParams = std::pair<float, int32_t>; |
| 291 | |
| 292 | void PopulateTensorWithData(TContainer& tensorData, |
| 293 | unsigned int numElements, |
| 294 | const std::string& dataTypeStr, |
| 295 | const armnn::Optional<QuantizationParams>& qParams, |
| 296 | const armnn::Optional<std::string>& dataFile) |
| 297 | { |
| 298 | const bool readFromFile = dataFile.has_value() && !dataFile.value().empty(); |
| 299 | const bool quantizeData = qParams.has_value(); |
| 300 | |
| 301 | std::ifstream inputTensorFile; |
| 302 | if (readFromFile) |
| 303 | { |
| 304 | inputTensorFile = std::ifstream(dataFile.value()); |
| 305 | } |
| 306 | |
| 307 | if (dataTypeStr.compare("float") == 0) |
| 308 | { |
| 309 | if (quantizeData) |
| 310 | { |
| 311 | const float qScale = qParams.value().first; |
| 312 | const int qOffset = qParams.value().second; |
| 313 | |
| 314 | tensorData = readFromFile ? |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 315 | ParseDataArray<armnn::DataType::QAsymmU8>(inputTensorFile, qScale, qOffset) : |
| 316 | GenerateDummyTensorData<armnn::DataType::QAsymmU8>(numElements); |
Aron Virginas-Tar | c82c873 | 2019-10-24 17:07:43 +0100 | [diff] [blame] | 317 | } |
| 318 | else |
| 319 | { |
| 320 | tensorData = readFromFile ? |
| 321 | ParseDataArray<armnn::DataType::Float32>(inputTensorFile) : |
| 322 | GenerateDummyTensorData<armnn::DataType::Float32>(numElements); |
| 323 | } |
| 324 | } |
| 325 | else if (dataTypeStr.compare("int") == 0) |
| 326 | { |
| 327 | tensorData = readFromFile ? |
| 328 | ParseDataArray<armnn::DataType::Signed32>(inputTensorFile) : |
| 329 | GenerateDummyTensorData<armnn::DataType::Signed32>(numElements); |
| 330 | } |
| 331 | else if (dataTypeStr.compare("qasymm8") == 0) |
| 332 | { |
| 333 | tensorData = readFromFile ? |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 334 | ParseDataArray<armnn::DataType::QAsymmU8>(inputTensorFile) : |
| 335 | GenerateDummyTensorData<armnn::DataType::QAsymmU8>(numElements); |
Aron Virginas-Tar | c82c873 | 2019-10-24 17:07:43 +0100 | [diff] [blame] | 336 | } |
| 337 | else |
| 338 | { |
| 339 | std::string errorMessage = "Unsupported tensor data type " + dataTypeStr; |
Derek Lamberti | 0844697 | 2019-11-26 16:38:31 +0000 | [diff] [blame] | 340 | ARMNN_LOG(fatal) << errorMessage; |
Aron Virginas-Tar | c82c873 | 2019-10-24 17:07:43 +0100 | [diff] [blame] | 341 | |
| 342 | inputTensorFile.close(); |
| 343 | throw armnn::Exception(errorMessage); |
| 344 | } |
| 345 | |
| 346 | inputTensorFile.close(); |
| 347 | } |
| 348 | |
| 349 | } // anonymous namespace |
| 350 | |
| 351 | bool generateTensorData = true; |
| 352 | |
| 353 | struct ExecuteNetworkParams |
| 354 | { |
| 355 | using TensorShapePtr = std::unique_ptr<armnn::TensorShape>; |
| 356 | |
| 357 | const char* m_ModelPath; |
| 358 | bool m_IsModelBinary; |
| 359 | std::vector<armnn::BackendId> m_ComputeDevices; |
| 360 | std::string m_DynamicBackendsPath; |
| 361 | std::vector<string> m_InputNames; |
| 362 | std::vector<TensorShapePtr> m_InputTensorShapes; |
| 363 | std::vector<string> m_InputTensorDataFilePaths; |
| 364 | std::vector<string> m_InputTypes; |
| 365 | bool m_QuantizeInput; |
| 366 | std::vector<string> m_OutputTypes; |
| 367 | std::vector<string> m_OutputNames; |
| 368 | std::vector<string> m_OutputTensorFiles; |
Georgios Pinitas | 50311ba | 2020-02-18 13:25:23 +0000 | [diff] [blame] | 369 | bool m_DequantizeOutput; |
Aron Virginas-Tar | c82c873 | 2019-10-24 17:07:43 +0100 | [diff] [blame] | 370 | bool m_EnableProfiling; |
| 371 | bool m_EnableFp16TurboMode; |
Narumol Prangnawarat | d8cc811 | 2020-03-24 13:54:05 +0000 | [diff] [blame] | 372 | bool m_EnableBf16TurboMode; |
Aron Virginas-Tar | c82c873 | 2019-10-24 17:07:43 +0100 | [diff] [blame] | 373 | double m_ThresholdTime; |
| 374 | bool m_PrintIntermediate; |
| 375 | size_t m_SubgraphId; |
| 376 | bool m_EnableLayerDetails = false; |
| 377 | bool m_GenerateTensorData; |
Derek Lamberti | 132563c | 2019-12-02 16:06:40 +0000 | [diff] [blame] | 378 | bool m_ParseUnsupported = false; |
Sadik Armagan | a9c2ce1 | 2020-07-14 10:02:22 +0100 | [diff] [blame] | 379 | bool m_InferOutputShape = false; |
Sadik Armagan | a25886e | 2020-09-15 17:17:08 +0100 | [diff] [blame] | 380 | bool m_EnableFastMath = false; |
Aron Virginas-Tar | c82c873 | 2019-10-24 17:07:43 +0100 | [diff] [blame] | 381 | }; |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 382 | |
| 383 | template<typename TParser, typename TDataType> |
Aron Virginas-Tar | c82c873 | 2019-10-24 17:07:43 +0100 | [diff] [blame] | 384 | int MainImpl(const ExecuteNetworkParams& params, |
alered01 | a7227ac | 2020-05-07 14:58:29 +0100 | [diff] [blame] | 385 | const std::shared_ptr<armnn::IRuntime>& runtime = nullptr, |
| 386 | size_t iterations = 1) |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 387 | { |
James Ward | 6d9f5c5 | 2020-09-28 11:56:35 +0100 | [diff] [blame] | 388 | using TContainer = mapbox::util::variant<std::vector<float>, std::vector<int>, std::vector<unsigned char>>; |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 389 | |
| 390 | std::vector<TContainer> inputDataContainers; |
| 391 | |
| 392 | try |
| 393 | { |
| 394 | // Creates an InferenceModel, which will parse the model and load it into an IRuntime. |
Aron Virginas-Tar | c82c873 | 2019-10-24 17:07:43 +0100 | [diff] [blame] | 395 | typename InferenceModel<TParser, TDataType>::Params inferenceModelParams; |
| 396 | inferenceModelParams.m_ModelPath = params.m_ModelPath; |
| 397 | inferenceModelParams.m_IsModelBinary = params.m_IsModelBinary; |
| 398 | inferenceModelParams.m_ComputeDevices = params.m_ComputeDevices; |
| 399 | inferenceModelParams.m_DynamicBackendsPath = params.m_DynamicBackendsPath; |
| 400 | inferenceModelParams.m_PrintIntermediateLayers = params.m_PrintIntermediate; |
| 401 | inferenceModelParams.m_VisualizePostOptimizationModel = params.m_EnableLayerDetails; |
Derek Lamberti | 167c082 | 2019-12-03 09:37:32 +0000 | [diff] [blame] | 402 | inferenceModelParams.m_ParseUnsupported = params.m_ParseUnsupported; |
Sadik Armagan | a9c2ce1 | 2020-07-14 10:02:22 +0100 | [diff] [blame] | 403 | inferenceModelParams.m_InferOutputShape = params.m_InferOutputShape; |
Sadik Armagan | a25886e | 2020-09-15 17:17:08 +0100 | [diff] [blame] | 404 | inferenceModelParams.m_EnableFastMath = params.m_EnableFastMath; |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 405 | |
Aron Virginas-Tar | c82c873 | 2019-10-24 17:07:43 +0100 | [diff] [blame] | 406 | for(const std::string& inputName: params.m_InputNames) |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 407 | { |
Aron Virginas-Tar | c82c873 | 2019-10-24 17:07:43 +0100 | [diff] [blame] | 408 | inferenceModelParams.m_InputBindings.push_back(inputName); |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 409 | } |
| 410 | |
Aron Virginas-Tar | c82c873 | 2019-10-24 17:07:43 +0100 | [diff] [blame] | 411 | for(unsigned int i = 0; i < params.m_InputTensorShapes.size(); ++i) |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 412 | { |
Aron Virginas-Tar | c82c873 | 2019-10-24 17:07:43 +0100 | [diff] [blame] | 413 | inferenceModelParams.m_InputShapes.push_back(*params.m_InputTensorShapes[i]); |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 414 | } |
| 415 | |
Aron Virginas-Tar | c82c873 | 2019-10-24 17:07:43 +0100 | [diff] [blame] | 416 | for(const std::string& outputName: params.m_OutputNames) |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 417 | { |
Aron Virginas-Tar | c82c873 | 2019-10-24 17:07:43 +0100 | [diff] [blame] | 418 | inferenceModelParams.m_OutputBindings.push_back(outputName); |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 419 | } |
| 420 | |
Aron Virginas-Tar | c82c873 | 2019-10-24 17:07:43 +0100 | [diff] [blame] | 421 | inferenceModelParams.m_SubgraphId = params.m_SubgraphId; |
| 422 | inferenceModelParams.m_EnableFp16TurboMode = params.m_EnableFp16TurboMode; |
Narumol Prangnawarat | d8cc811 | 2020-03-24 13:54:05 +0000 | [diff] [blame] | 423 | inferenceModelParams.m_EnableBf16TurboMode = params.m_EnableBf16TurboMode; |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 424 | |
Aron Virginas-Tar | c82c873 | 2019-10-24 17:07:43 +0100 | [diff] [blame] | 425 | InferenceModel<TParser, TDataType> model(inferenceModelParams, |
| 426 | params.m_EnableProfiling, |
| 427 | params.m_DynamicBackendsPath, |
| 428 | runtime); |
| 429 | |
| 430 | const size_t numInputs = inferenceModelParams.m_InputBindings.size(); |
| 431 | for(unsigned int i = 0; i < numInputs; ++i) |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 432 | { |
Aron Virginas-Tar | c82c873 | 2019-10-24 17:07:43 +0100 | [diff] [blame] | 433 | armnn::Optional<QuantizationParams> qParams = params.m_QuantizeInput ? |
| 434 | armnn::MakeOptional<QuantizationParams>(model.GetInputQuantizationParams()) : |
| 435 | armnn::EmptyOptional(); |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 436 | |
Aron Virginas-Tar | c82c873 | 2019-10-24 17:07:43 +0100 | [diff] [blame] | 437 | armnn::Optional<std::string> dataFile = params.m_GenerateTensorData ? |
| 438 | armnn::EmptyOptional() : |
| 439 | armnn::MakeOptional<std::string>(params.m_InputTensorDataFilePaths[i]); |
| 440 | |
| 441 | unsigned int numElements = model.GetInputSize(i); |
| 442 | if (params.m_InputTensorShapes.size() > i && params.m_InputTensorShapes[i]) |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 443 | { |
Aron Virginas-Tar | c82c873 | 2019-10-24 17:07:43 +0100 | [diff] [blame] | 444 | // If the user has provided a tensor shape for the current input, |
| 445 | // override numElements |
| 446 | numElements = params.m_InputTensorShapes[i]->GetNumElements(); |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 447 | } |
| 448 | |
Aron Virginas-Tar | c82c873 | 2019-10-24 17:07:43 +0100 | [diff] [blame] | 449 | TContainer tensorData; |
| 450 | PopulateTensorWithData(tensorData, |
| 451 | numElements, |
| 452 | params.m_InputTypes[i], |
| 453 | qParams, |
| 454 | dataFile); |
| 455 | |
| 456 | inputDataContainers.push_back(tensorData); |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 457 | } |
| 458 | |
Aron Virginas-Tar | c82c873 | 2019-10-24 17:07:43 +0100 | [diff] [blame] | 459 | const size_t numOutputs = inferenceModelParams.m_OutputBindings.size(); |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 460 | std::vector<TContainer> outputDataContainers; |
| 461 | |
| 462 | for (unsigned int i = 0; i < numOutputs; ++i) |
| 463 | { |
Aron Virginas-Tar | c82c873 | 2019-10-24 17:07:43 +0100 | [diff] [blame] | 464 | if (params.m_OutputTypes[i].compare("float") == 0) |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 465 | { |
| 466 | outputDataContainers.push_back(std::vector<float>(model.GetOutputSize(i))); |
| 467 | } |
Aron Virginas-Tar | c82c873 | 2019-10-24 17:07:43 +0100 | [diff] [blame] | 468 | else if (params.m_OutputTypes[i].compare("int") == 0) |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 469 | { |
| 470 | outputDataContainers.push_back(std::vector<int>(model.GetOutputSize(i))); |
| 471 | } |
Aron Virginas-Tar | c82c873 | 2019-10-24 17:07:43 +0100 | [diff] [blame] | 472 | else if (params.m_OutputTypes[i].compare("qasymm8") == 0) |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 473 | { |
| 474 | outputDataContainers.push_back(std::vector<uint8_t>(model.GetOutputSize(i))); |
| 475 | } |
| 476 | else |
| 477 | { |
Derek Lamberti | 0844697 | 2019-11-26 16:38:31 +0000 | [diff] [blame] | 478 | ARMNN_LOG(fatal) << "Unsupported tensor data type \"" << params.m_OutputTypes[i] << "\". "; |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 479 | return EXIT_FAILURE; |
| 480 | } |
| 481 | } |
| 482 | |
alered01 | a7227ac | 2020-05-07 14:58:29 +0100 | [diff] [blame] | 483 | for (size_t x = 0; x < iterations; x++) |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 484 | { |
alered01 | a7227ac | 2020-05-07 14:58:29 +0100 | [diff] [blame] | 485 | // model.Run returns the inference time elapsed in EnqueueWorkload (in milliseconds) |
| 486 | auto inference_duration = model.Run(inputDataContainers, outputDataContainers); |
Aron Virginas-Tar | c82c873 | 2019-10-24 17:07:43 +0100 | [diff] [blame] | 487 | |
alered01 | a7227ac | 2020-05-07 14:58:29 +0100 | [diff] [blame] | 488 | if (params.m_GenerateTensorData) |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 489 | { |
alered01 | a7227ac | 2020-05-07 14:58:29 +0100 | [diff] [blame] | 490 | ARMNN_LOG(warning) << "The input data was generated, note that the output will not be useful"; |
| 491 | } |
| 492 | |
| 493 | // Print output tensors |
| 494 | const auto& infosOut = model.GetOutputBindingInfos(); |
| 495 | for (size_t i = 0; i < numOutputs; i++) |
| 496 | { |
| 497 | const armnn::TensorInfo& infoOut = infosOut[i].second; |
| 498 | auto outputTensorFile = params.m_OutputTensorFiles.empty() ? "" : params.m_OutputTensorFiles[i]; |
| 499 | |
| 500 | TensorPrinter printer(inferenceModelParams.m_OutputBindings[i], |
| 501 | infoOut, |
| 502 | outputTensorFile, |
| 503 | params.m_DequantizeOutput); |
James Ward | 6d9f5c5 | 2020-09-28 11:56:35 +0100 | [diff] [blame] | 504 | mapbox::util::apply_visitor(printer, outputDataContainers[i]); |
alered01 | a7227ac | 2020-05-07 14:58:29 +0100 | [diff] [blame] | 505 | } |
| 506 | |
| 507 | ARMNN_LOG(info) << "\nInference time: " << std::setprecision(2) |
| 508 | << std::fixed << inference_duration.count() << " ms\n"; |
| 509 | |
| 510 | // If thresholdTime == 0.0 (default), then it hasn't been supplied at command line |
| 511 | if (params.m_ThresholdTime != 0.0) |
| 512 | { |
| 513 | ARMNN_LOG(info) << "Threshold time: " << std::setprecision(2) |
| 514 | << std::fixed << params.m_ThresholdTime << " ms"; |
| 515 | auto thresholdMinusInference = params.m_ThresholdTime - inference_duration.count(); |
| 516 | ARMNN_LOG(info) << "Threshold time - Inference time: " << std::setprecision(2) |
| 517 | << std::fixed << thresholdMinusInference << " ms" << "\n"; |
| 518 | |
| 519 | if (thresholdMinusInference < 0) |
| 520 | { |
| 521 | std::string errorMessage = "Elapsed inference time is greater than provided threshold time."; |
| 522 | ARMNN_LOG(fatal) << errorMessage; |
| 523 | } |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 524 | } |
| 525 | } |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 526 | } |
Pavel Macenauer | 855a47b | 2020-05-26 10:54:22 +0000 | [diff] [blame] | 527 | catch (const armnn::Exception& e) |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 528 | { |
Derek Lamberti | 0844697 | 2019-11-26 16:38:31 +0000 | [diff] [blame] | 529 | ARMNN_LOG(fatal) << "Armnn Error: " << e.what(); |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 530 | return EXIT_FAILURE; |
| 531 | } |
| 532 | |
| 533 | return EXIT_SUCCESS; |
| 534 | } |
| 535 | |
| 536 | // This will run a test |
| 537 | int RunTest(const std::string& format, |
| 538 | const std::string& inputTensorShapesStr, |
Aron Virginas-Tar | c82c873 | 2019-10-24 17:07:43 +0100 | [diff] [blame] | 539 | const vector<armnn::BackendId>& computeDevices, |
Matteo Martincigh | 00dda4a | 2019-08-14 11:42:30 +0100 | [diff] [blame] | 540 | const std::string& dynamicBackendsPath, |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 541 | const std::string& path, |
| 542 | const std::string& inputNames, |
| 543 | const std::string& inputTensorDataFilePaths, |
| 544 | const std::string& inputTypes, |
Narumol Prangnawarat | 610256f | 2019-06-26 15:10:46 +0100 | [diff] [blame] | 545 | bool quantizeInput, |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 546 | const std::string& outputTypes, |
| 547 | const std::string& outputNames, |
Sadik Armagan | 7708628 | 2019-09-02 11:46:28 +0100 | [diff] [blame] | 548 | const std::string& outputTensorFiles, |
Georgios Pinitas | 50311ba | 2020-02-18 13:25:23 +0000 | [diff] [blame] | 549 | bool dequantizeOuput, |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 550 | bool enableProfiling, |
| 551 | bool enableFp16TurboMode, |
Narumol Prangnawarat | d8cc811 | 2020-03-24 13:54:05 +0000 | [diff] [blame] | 552 | bool enableBf16TurboMode, |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 553 | const double& thresholdTime, |
Matthew Jackson | 54658b9 | 2019-08-27 15:35:59 +0100 | [diff] [blame] | 554 | bool printIntermediate, |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 555 | const size_t subgraphId, |
Andre Ghattas | 23ae2ea | 2019-08-07 12:18:38 +0100 | [diff] [blame] | 556 | bool enableLayerDetails = false, |
Derek Lamberti | 132563c | 2019-12-02 16:06:40 +0000 | [diff] [blame] | 557 | bool parseUnsupported = false, |
Sadik Armagan | a9c2ce1 | 2020-07-14 10:02:22 +0100 | [diff] [blame] | 558 | bool inferOutputShape = false, |
Sadik Armagan | a25886e | 2020-09-15 17:17:08 +0100 | [diff] [blame] | 559 | bool enableFastMath = false, |
alered01 | a7227ac | 2020-05-07 14:58:29 +0100 | [diff] [blame] | 560 | const size_t iterations = 1, |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 561 | const std::shared_ptr<armnn::IRuntime>& runtime = nullptr) |
| 562 | { |
David Monahan | a8837bf | 2020-04-16 10:01:56 +0100 | [diff] [blame] | 563 | std::string modelFormat = armnn::stringUtils::StringTrimCopy(format); |
| 564 | std::string modelPath = armnn::stringUtils::StringTrimCopy(path); |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 565 | std::vector<std::string> inputNamesVector = ParseStringList(inputNames, ","); |
Francis Murtagh | 1555cbd | 2019-10-08 14:47:46 +0100 | [diff] [blame] | 566 | std::vector<std::string> inputTensorShapesVector = ParseStringList(inputTensorShapesStr, ":"); |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 567 | std::vector<std::string> inputTensorDataFilePathsVector = ParseStringList( |
| 568 | inputTensorDataFilePaths, ","); |
| 569 | std::vector<std::string> outputNamesVector = ParseStringList(outputNames, ","); |
| 570 | std::vector<std::string> inputTypesVector = ParseStringList(inputTypes, ","); |
| 571 | std::vector<std::string> outputTypesVector = ParseStringList(outputTypes, ","); |
Sadik Armagan | 7708628 | 2019-09-02 11:46:28 +0100 | [diff] [blame] | 572 | std::vector<std::string> outputTensorFilesVector = ParseStringList(outputTensorFiles, ","); |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 573 | |
| 574 | // Parse model binary flag from the model-format string we got from the command-line |
| 575 | bool isModelBinary; |
| 576 | if (modelFormat.find("bin") != std::string::npos) |
| 577 | { |
| 578 | isModelBinary = true; |
| 579 | } |
| 580 | else if (modelFormat.find("txt") != std::string::npos || modelFormat.find("text") != std::string::npos) |
| 581 | { |
| 582 | isModelBinary = false; |
| 583 | } |
| 584 | else |
| 585 | { |
Derek Lamberti | 0844697 | 2019-11-26 16:38:31 +0000 | [diff] [blame] | 586 | ARMNN_LOG(fatal) << "Unknown model format: '" << modelFormat << "'. Please include 'binary' or 'text'"; |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 587 | return EXIT_FAILURE; |
| 588 | } |
| 589 | |
| 590 | if ((inputTensorShapesVector.size() != 0) && (inputTensorShapesVector.size() != inputNamesVector.size())) |
| 591 | { |
Derek Lamberti | 0844697 | 2019-11-26 16:38:31 +0000 | [diff] [blame] | 592 | ARMNN_LOG(fatal) << "input-name and input-tensor-shape must have the same amount of elements."; |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 593 | return EXIT_FAILURE; |
| 594 | } |
| 595 | |
| 596 | if ((inputTensorDataFilePathsVector.size() != 0) && |
| 597 | (inputTensorDataFilePathsVector.size() != inputNamesVector.size())) |
| 598 | { |
Derek Lamberti | 0844697 | 2019-11-26 16:38:31 +0000 | [diff] [blame] | 599 | ARMNN_LOG(fatal) << "input-name and input-tensor-data must have the same amount of elements."; |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 600 | return EXIT_FAILURE; |
| 601 | } |
| 602 | |
Sadik Armagan | 7708628 | 2019-09-02 11:46:28 +0100 | [diff] [blame] | 603 | if ((outputTensorFilesVector.size() != 0) && |
| 604 | (outputTensorFilesVector.size() != outputNamesVector.size())) |
| 605 | { |
Derek Lamberti | 0844697 | 2019-11-26 16:38:31 +0000 | [diff] [blame] | 606 | ARMNN_LOG(fatal) << "output-name and write-outputs-to-file must have the same amount of elements."; |
Sadik Armagan | 7708628 | 2019-09-02 11:46:28 +0100 | [diff] [blame] | 607 | return EXIT_FAILURE; |
| 608 | } |
| 609 | |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 610 | if (inputTypesVector.size() == 0) |
| 611 | { |
| 612 | //Defaults the value of all inputs to "float" |
| 613 | inputTypesVector.assign(inputNamesVector.size(), "float"); |
| 614 | } |
Matteo Martincigh | 08b5186 | 2019-08-29 16:26:10 +0100 | [diff] [blame] | 615 | else if ((inputTypesVector.size() != 0) && (inputTypesVector.size() != inputNamesVector.size())) |
| 616 | { |
Derek Lamberti | 0844697 | 2019-11-26 16:38:31 +0000 | [diff] [blame] | 617 | ARMNN_LOG(fatal) << "input-name and input-type must have the same amount of elements."; |
Matteo Martincigh | 08b5186 | 2019-08-29 16:26:10 +0100 | [diff] [blame] | 618 | return EXIT_FAILURE; |
| 619 | } |
| 620 | |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 621 | if (outputTypesVector.size() == 0) |
| 622 | { |
| 623 | //Defaults the value of all outputs to "float" |
| 624 | outputTypesVector.assign(outputNamesVector.size(), "float"); |
| 625 | } |
Matteo Martincigh | 08b5186 | 2019-08-29 16:26:10 +0100 | [diff] [blame] | 626 | else if ((outputTypesVector.size() != 0) && (outputTypesVector.size() != outputNamesVector.size())) |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 627 | { |
Derek Lamberti | 0844697 | 2019-11-26 16:38:31 +0000 | [diff] [blame] | 628 | ARMNN_LOG(fatal) << "output-name and output-type must have the same amount of elements."; |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 629 | return EXIT_FAILURE; |
| 630 | } |
| 631 | |
| 632 | // Parse input tensor shape from the string we got from the command-line. |
| 633 | std::vector<std::unique_ptr<armnn::TensorShape>> inputTensorShapes; |
| 634 | |
| 635 | if (!inputTensorShapesVector.empty()) |
| 636 | { |
| 637 | inputTensorShapes.reserve(inputTensorShapesVector.size()); |
| 638 | |
| 639 | for(const std::string& shape : inputTensorShapesVector) |
| 640 | { |
| 641 | std::stringstream ss(shape); |
| 642 | std::vector<unsigned int> dims = ParseArray(ss); |
| 643 | |
| 644 | try |
| 645 | { |
| 646 | // Coverity fix: An exception of type armnn::InvalidArgumentException is thrown and never caught. |
Rob Hughes | bb46dde | 2020-05-20 15:27:37 +0100 | [diff] [blame] | 647 | inputTensorShapes.push_back( |
| 648 | std::make_unique<armnn::TensorShape>(static_cast<unsigned int>(dims.size()), dims.data())); |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 649 | } |
| 650 | catch (const armnn::InvalidArgumentException& e) |
| 651 | { |
Derek Lamberti | 0844697 | 2019-11-26 16:38:31 +0000 | [diff] [blame] | 652 | ARMNN_LOG(fatal) << "Cannot create tensor shape: " << e.what(); |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 653 | return EXIT_FAILURE; |
| 654 | } |
| 655 | } |
| 656 | } |
| 657 | |
| 658 | // Check that threshold time is not less than zero |
| 659 | if (thresholdTime < 0) |
| 660 | { |
Derek Lamberti | 0844697 | 2019-11-26 16:38:31 +0000 | [diff] [blame] | 661 | ARMNN_LOG(fatal) << "Threshold time supplied as a command line argument is less than zero."; |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 662 | return EXIT_FAILURE; |
| 663 | } |
| 664 | |
Aron Virginas-Tar | c82c873 | 2019-10-24 17:07:43 +0100 | [diff] [blame] | 665 | ExecuteNetworkParams params; |
| 666 | params.m_ModelPath = modelPath.c_str(); |
| 667 | params.m_IsModelBinary = isModelBinary; |
| 668 | params.m_ComputeDevices = computeDevices; |
| 669 | params.m_DynamicBackendsPath = dynamicBackendsPath; |
| 670 | params.m_InputNames = inputNamesVector; |
| 671 | params.m_InputTensorShapes = std::move(inputTensorShapes); |
| 672 | params.m_InputTensorDataFilePaths = inputTensorDataFilePathsVector; |
| 673 | params.m_InputTypes = inputTypesVector; |
| 674 | params.m_QuantizeInput = quantizeInput; |
| 675 | params.m_OutputTypes = outputTypesVector; |
| 676 | params.m_OutputNames = outputNamesVector; |
| 677 | params.m_OutputTensorFiles = outputTensorFilesVector; |
Georgios Pinitas | 50311ba | 2020-02-18 13:25:23 +0000 | [diff] [blame] | 678 | params.m_DequantizeOutput = dequantizeOuput; |
Aron Virginas-Tar | c82c873 | 2019-10-24 17:07:43 +0100 | [diff] [blame] | 679 | params.m_EnableProfiling = enableProfiling; |
| 680 | params.m_EnableFp16TurboMode = enableFp16TurboMode; |
Narumol Prangnawarat | d8cc811 | 2020-03-24 13:54:05 +0000 | [diff] [blame] | 681 | params.m_EnableBf16TurboMode = enableBf16TurboMode; |
Aron Virginas-Tar | c82c873 | 2019-10-24 17:07:43 +0100 | [diff] [blame] | 682 | params.m_ThresholdTime = thresholdTime; |
| 683 | params.m_PrintIntermediate = printIntermediate; |
| 684 | params.m_SubgraphId = subgraphId; |
| 685 | params.m_EnableLayerDetails = enableLayerDetails; |
| 686 | params.m_GenerateTensorData = inputTensorDataFilePathsVector.empty(); |
Derek Lamberti | 132563c | 2019-12-02 16:06:40 +0000 | [diff] [blame] | 687 | params.m_ParseUnsupported = parseUnsupported; |
Sadik Armagan | a9c2ce1 | 2020-07-14 10:02:22 +0100 | [diff] [blame] | 688 | params.m_InferOutputShape = inferOutputShape; |
Sadik Armagan | a25886e | 2020-09-15 17:17:08 +0100 | [diff] [blame] | 689 | params.m_EnableFastMath = enableFastMath; |
Aron Virginas-Tar | c82c873 | 2019-10-24 17:07:43 +0100 | [diff] [blame] | 690 | |
| 691 | // Warn if ExecuteNetwork will generate dummy input data |
| 692 | if (params.m_GenerateTensorData) |
| 693 | { |
Derek Lamberti | 0844697 | 2019-11-26 16:38:31 +0000 | [diff] [blame] | 694 | ARMNN_LOG(warning) << "No input files provided, input tensors will be filled with 0s."; |
Aron Virginas-Tar | c82c873 | 2019-10-24 17:07:43 +0100 | [diff] [blame] | 695 | } |
| 696 | |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 697 | // Forward to implementation based on the parser type |
| 698 | if (modelFormat.find("armnn") != std::string::npos) |
| 699 | { |
| 700 | #if defined(ARMNN_SERIALIZER) |
alered01 | a7227ac | 2020-05-07 14:58:29 +0100 | [diff] [blame] | 701 | return MainImpl<armnnDeserializer::IDeserializer, float>(params, runtime, iterations); |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 702 | #else |
Derek Lamberti | 0844697 | 2019-11-26 16:38:31 +0000 | [diff] [blame] | 703 | ARMNN_LOG(fatal) << "Not built with serialization support."; |
alered01 | a7227ac | 2020-05-07 14:58:29 +0100 | [diff] [blame] | 704 | return EXIT_FAILURE; |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 705 | #endif |
| 706 | } |
| 707 | else if (modelFormat.find("caffe") != std::string::npos) |
| 708 | { |
| 709 | #if defined(ARMNN_CAFFE_PARSER) |
alered01 | a7227ac | 2020-05-07 14:58:29 +0100 | [diff] [blame] | 710 | return MainImpl<armnnCaffeParser::ICaffeParser, float>(params, runtime, iterations); |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 711 | #else |
Derek Lamberti | 0844697 | 2019-11-26 16:38:31 +0000 | [diff] [blame] | 712 | ARMNN_LOG(fatal) << "Not built with Caffe parser support."; |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 713 | return EXIT_FAILURE; |
| 714 | #endif |
| 715 | } |
| 716 | else if (modelFormat.find("onnx") != std::string::npos) |
alered01 | a7227ac | 2020-05-07 14:58:29 +0100 | [diff] [blame] | 717 | { |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 718 | #if defined(ARMNN_ONNX_PARSER) |
alered01 | a7227ac | 2020-05-07 14:58:29 +0100 | [diff] [blame] | 719 | return MainImpl<armnnOnnxParser::IOnnxParser, float>(params, runtime, iterations); |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 720 | #else |
Derek Lamberti | 0844697 | 2019-11-26 16:38:31 +0000 | [diff] [blame] | 721 | ARMNN_LOG(fatal) << "Not built with Onnx parser support."; |
alered01 | a7227ac | 2020-05-07 14:58:29 +0100 | [diff] [blame] | 722 | return EXIT_FAILURE; |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 723 | #endif |
| 724 | } |
| 725 | else if (modelFormat.find("tensorflow") != std::string::npos) |
| 726 | { |
| 727 | #if defined(ARMNN_TF_PARSER) |
alered01 | a7227ac | 2020-05-07 14:58:29 +0100 | [diff] [blame] | 728 | return MainImpl<armnnTfParser::ITfParser, float>(params, runtime, iterations); |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 729 | #else |
Derek Lamberti | 0844697 | 2019-11-26 16:38:31 +0000 | [diff] [blame] | 730 | ARMNN_LOG(fatal) << "Not built with Tensorflow parser support."; |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 731 | return EXIT_FAILURE; |
| 732 | #endif |
| 733 | } |
| 734 | else if(modelFormat.find("tflite") != std::string::npos) |
| 735 | { |
| 736 | #if defined(ARMNN_TF_LITE_PARSER) |
| 737 | if (! isModelBinary) |
| 738 | { |
alered01 | a7227ac | 2020-05-07 14:58:29 +0100 | [diff] [blame] | 739 | ARMNN_LOG(fatal) << "Unknown model format: '" << modelFormat |
| 740 | << "'. Only 'binary' format supported for tflite files"; |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 741 | return EXIT_FAILURE; |
| 742 | } |
alered01 | a7227ac | 2020-05-07 14:58:29 +0100 | [diff] [blame] | 743 | return MainImpl<armnnTfLiteParser::ITfLiteParser, float>(params, runtime, iterations); |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 744 | #else |
alered01 | a7227ac | 2020-05-07 14:58:29 +0100 | [diff] [blame] | 745 | ARMNN_LOG(fatal) << "Unknown model format: '" << modelFormat |
| 746 | << "'. Please include 'caffe', 'tensorflow', 'tflite' or 'onnx'"; |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 747 | return EXIT_FAILURE; |
| 748 | #endif |
| 749 | } |
| 750 | else |
| 751 | { |
alered01 | a7227ac | 2020-05-07 14:58:29 +0100 | [diff] [blame] | 752 | ARMNN_LOG(fatal) << "Unknown model format: '" << modelFormat |
| 753 | << "'. Please include 'caffe', 'tensorflow', 'tflite' or 'onnx'"; |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 754 | return EXIT_FAILURE; |
| 755 | } |
| 756 | } |
| 757 | |
| 758 | int RunCsvTest(const armnnUtils::CsvRow &csvRow, const std::shared_ptr<armnn::IRuntime>& runtime, |
Narumol Prangnawarat | d8cc811 | 2020-03-24 13:54:05 +0000 | [diff] [blame] | 759 | const bool enableProfiling, const bool enableFp16TurboMode, const bool enableBf16TurboMode, |
| 760 | const double& thresholdTime, const bool printIntermediate, bool enableLayerDetails = false, |
Sadik Armagan | a25886e | 2020-09-15 17:17:08 +0100 | [diff] [blame] | 761 | bool parseUnuspported = false, bool inferOutputShape = false, bool enableFastMath = false) |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 762 | { |
Jan Eilers | 8eb2560 | 2020-03-09 12:13:48 +0000 | [diff] [blame] | 763 | IgnoreUnused(runtime); |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 764 | std::string modelFormat; |
| 765 | std::string modelPath; |
| 766 | std::string inputNames; |
| 767 | std::string inputTensorShapes; |
| 768 | std::string inputTensorDataFilePaths; |
| 769 | std::string outputNames; |
| 770 | std::string inputTypes; |
| 771 | std::string outputTypes; |
Matteo Martincigh | 00dda4a | 2019-08-14 11:42:30 +0100 | [diff] [blame] | 772 | std::string dynamicBackendsPath; |
Sadik Armagan | 7708628 | 2019-09-02 11:46:28 +0100 | [diff] [blame] | 773 | std::string outputTensorFiles; |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 774 | |
| 775 | size_t subgraphId = 0; |
| 776 | |
| 777 | const std::string backendsMessage = std::string("The preferred order of devices to run layers on by default. ") |
| 778 | + std::string("Possible choices: ") |
| 779 | + armnn::BackendRegistryInstance().GetBackendIdsAsString(); |
| 780 | |
| 781 | po::options_description desc("Options"); |
| 782 | try |
| 783 | { |
| 784 | desc.add_options() |
| 785 | ("model-format,f", po::value(&modelFormat), |
| 786 | "armnn-binary, caffe-binary, caffe-text, tflite-binary, onnx-binary, onnx-text, tensorflow-binary or " |
| 787 | "tensorflow-text.") |
| 788 | ("model-path,m", po::value(&modelPath), "Path to model file, e.g. .armnn, .caffemodel, .prototxt, " |
| 789 | ".tflite, .onnx") |
| 790 | ("compute,c", po::value<std::vector<armnn::BackendId>>()->multitoken(), |
| 791 | backendsMessage.c_str()) |
Matteo Martincigh | 00dda4a | 2019-08-14 11:42:30 +0100 | [diff] [blame] | 792 | ("dynamic-backends-path,b", po::value(&dynamicBackendsPath), |
| 793 | "Path where to load any available dynamic backend from. " |
| 794 | "If left empty (the default), dynamic backends will not be used.") |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 795 | ("input-name,i", po::value(&inputNames), "Identifier of the input tensors in the network separated by comma.") |
| 796 | ("subgraph-number,n", po::value<size_t>(&subgraphId)->default_value(0), "Id of the subgraph to be " |
| 797 | "executed. Defaults to 0.") |
| 798 | ("input-tensor-shape,s", po::value(&inputTensorShapes), |
| 799 | "The shape of the input tensors in the network as a flat array of integers separated by comma. " |
| 800 | "Several shapes can be passed separating them by semicolon. " |
| 801 | "This parameter is optional, depending on the network.") |
Aron Virginas-Tar | c82c873 | 2019-10-24 17:07:43 +0100 | [diff] [blame] | 802 | ("input-tensor-data,d", po::value(&inputTensorDataFilePaths)->default_value(""), |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 803 | "Path to files containing the input data as a flat array separated by whitespace. " |
Aron Virginas-Tar | c82c873 | 2019-10-24 17:07:43 +0100 | [diff] [blame] | 804 | "Several paths can be passed separating them by comma. If not specified, the network will be run with dummy " |
| 805 | "data (useful for profiling).") |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 806 | ("input-type,y",po::value(&inputTypes), "The type of the input tensors in the network separated by comma. " |
| 807 | "If unset, defaults to \"float\" for all defined inputs. " |
| 808 | "Accepted values (float, int or qasymm8).") |
Narumol Prangnawarat | 610256f | 2019-06-26 15:10:46 +0100 | [diff] [blame] | 809 | ("quantize-input,q",po::bool_switch()->default_value(false), |
| 810 | "If this option is enabled, all float inputs will be quantized to qasymm8. " |
| 811 | "If unset, default to not quantized. " |
| 812 | "Accepted values (true or false)") |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 813 | ("output-type,z",po::value(&outputTypes), "The type of the output tensors in the network separated by comma. " |
| 814 | "If unset, defaults to \"float\" for all defined outputs. " |
| 815 | "Accepted values (float, int or qasymm8).") |
| 816 | ("output-name,o", po::value(&outputNames), |
Sadik Armagan | 7708628 | 2019-09-02 11:46:28 +0100 | [diff] [blame] | 817 | "Identifier of the output tensors in the network separated by comma.") |
Georgios Pinitas | 50311ba | 2020-02-18 13:25:23 +0000 | [diff] [blame] | 818 | ("dequantize-output,l",po::bool_switch()->default_value(false), |
| 819 | "If this option is enabled, all quantized outputs will be dequantized to float. " |
| 820 | "If unset, default to not get dequantized. " |
| 821 | "Accepted values (true or false)") |
Sadik Armagan | 7708628 | 2019-09-02 11:46:28 +0100 | [diff] [blame] | 822 | ("write-outputs-to-file,w", po::value(&outputTensorFiles), |
| 823 | "Comma-separated list of output file paths keyed with the binding-id of the output slot. " |
| 824 | "If left empty (the default), the output tensors will not be written to a file."); |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 825 | } |
| 826 | catch (const std::exception& e) |
| 827 | { |
| 828 | // Coverity points out that default_value(...) can throw a bad_lexical_cast, |
| 829 | // and that desc.add_options() can throw boost::io::too_few_args. |
| 830 | // They really won't in any of these cases. |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 831 | ARMNN_ASSERT_MSG(false, "Caught unexpected exception"); |
Derek Lamberti | 0844697 | 2019-11-26 16:38:31 +0000 | [diff] [blame] | 832 | ARMNN_LOG(fatal) << "Fatal internal error: " << e.what(); |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 833 | return EXIT_FAILURE; |
| 834 | } |
| 835 | |
| 836 | std::vector<const char*> clOptions; |
| 837 | clOptions.reserve(csvRow.values.size()); |
| 838 | for (const std::string& value : csvRow.values) |
| 839 | { |
| 840 | clOptions.push_back(value.c_str()); |
| 841 | } |
| 842 | |
| 843 | po::variables_map vm; |
| 844 | try |
| 845 | { |
| 846 | po::store(po::parse_command_line(static_cast<int>(clOptions.size()), clOptions.data(), desc), vm); |
| 847 | |
| 848 | po::notify(vm); |
| 849 | |
| 850 | CheckOptionDependencies(vm); |
| 851 | } |
| 852 | catch (const po::error& e) |
| 853 | { |
| 854 | std::cerr << e.what() << std::endl << std::endl; |
| 855 | std::cerr << desc << std::endl; |
| 856 | return EXIT_FAILURE; |
| 857 | } |
| 858 | |
Narumol Prangnawarat | 610256f | 2019-06-26 15:10:46 +0100 | [diff] [blame] | 859 | // Get the value of the switch arguments. |
| 860 | bool quantizeInput = vm["quantize-input"].as<bool>(); |
Georgios Pinitas | 50311ba | 2020-02-18 13:25:23 +0000 | [diff] [blame] | 861 | bool dequantizeOutput = vm["dequantize-output"].as<bool>(); |
Narumol Prangnawarat | 610256f | 2019-06-26 15:10:46 +0100 | [diff] [blame] | 862 | |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 863 | // Get the preferred order of compute devices. |
| 864 | std::vector<armnn::BackendId> computeDevices = vm["compute"].as<std::vector<armnn::BackendId>>(); |
| 865 | |
| 866 | // Remove duplicates from the list of compute devices. |
| 867 | RemoveDuplicateDevices(computeDevices); |
| 868 | |
| 869 | // Check that the specified compute devices are valid. |
| 870 | std::string invalidBackends; |
| 871 | if (!CheckRequestedBackendsAreValid(computeDevices, armnn::Optional<std::string&>(invalidBackends))) |
| 872 | { |
Derek Lamberti | 0844697 | 2019-11-26 16:38:31 +0000 | [diff] [blame] | 873 | ARMNN_LOG(fatal) << "The list of preferred devices contains invalid backend IDs: " |
Francis Murtagh | bee4bc9 | 2019-06-18 12:30:37 +0100 | [diff] [blame] | 874 | << invalidBackends; |
| 875 | return EXIT_FAILURE; |
| 876 | } |
| 877 | |
Matteo Martincigh | 00dda4a | 2019-08-14 11:42:30 +0100 | [diff] [blame] | 878 | return RunTest(modelFormat, inputTensorShapes, computeDevices, dynamicBackendsPath, modelPath, inputNames, |
Sadik Armagan | 7708628 | 2019-09-02 11:46:28 +0100 | [diff] [blame] | 879 | inputTensorDataFilePaths, inputTypes, quantizeInput, outputTypes, outputNames, outputTensorFiles, |
Narumol Prangnawarat | d8cc811 | 2020-03-24 13:54:05 +0000 | [diff] [blame] | 880 | dequantizeOutput, enableProfiling, enableFp16TurboMode, enableBf16TurboMode, |
Sadik Armagan | a9c2ce1 | 2020-07-14 10:02:22 +0100 | [diff] [blame] | 881 | thresholdTime, printIntermediate, subgraphId, enableLayerDetails, parseUnuspported, |
Sadik Armagan | a25886e | 2020-09-15 17:17:08 +0100 | [diff] [blame] | 882 | inferOutputShape, enableFastMath); |
Matteo Martincigh | 00dda4a | 2019-08-14 11:42:30 +0100 | [diff] [blame] | 883 | } |
alered01 | a7227ac | 2020-05-07 14:58:29 +0100 | [diff] [blame] | 884 | |
| 885 | #if defined(ARMCOMPUTECL_ENABLED) |
| 886 | int RunCLTuning(const std::string& tuningPath, |
| 887 | const int tuningLevel, |
| 888 | const std::string& modelFormat, |
| 889 | const std::string& inputTensorShapes, |
| 890 | const vector<armnn::BackendId>& computeDevices, |
| 891 | const std::string& dynamicBackendsPath, |
| 892 | const std::string& modelPath, |
| 893 | const std::string& inputNames, |
| 894 | const std::string& inputTensorDataFilePaths, |
| 895 | const std::string& inputTypes, |
| 896 | bool quantizeInput, |
| 897 | const std::string& outputTypes, |
| 898 | const std::string& outputNames, |
| 899 | const std::string& outputTensorFiles, |
| 900 | bool dequantizeOutput, |
| 901 | bool enableProfiling, |
| 902 | bool enableFp16TurboMode, |
| 903 | bool enableBf16TurboMode, |
| 904 | const double& thresholdTime, |
| 905 | bool printIntermediate, |
| 906 | const size_t subgraphId, |
| 907 | bool enableLayerDetails = false, |
Sadik Armagan | a9c2ce1 | 2020-07-14 10:02:22 +0100 | [diff] [blame] | 908 | bool parseUnsupported = false, |
Sadik Armagan | a25886e | 2020-09-15 17:17:08 +0100 | [diff] [blame] | 909 | bool inferOutputShape = false, |
| 910 | bool enableFastMath = false) |
alered01 | a7227ac | 2020-05-07 14:58:29 +0100 | [diff] [blame] | 911 | { |
| 912 | armnn::IRuntime::CreationOptions options; |
| 913 | options.m_BackendOptions.emplace_back( |
| 914 | armnn::BackendOptions |
| 915 | { |
| 916 | "GpuAcc", |
| 917 | { |
| 918 | {"TuningLevel", tuningLevel}, |
| 919 | {"TuningFile", tuningPath.c_str()}, |
| 920 | {"KernelProfilingEnabled", enableProfiling} |
| 921 | } |
| 922 | } |
| 923 | ); |
| 924 | |
| 925 | std::shared_ptr<armnn::IRuntime> runtime(armnn::IRuntime::Create(options)); |
| 926 | const auto start_time = armnn::GetTimeNow(); |
| 927 | |
| 928 | ARMNN_LOG(info) << "Tuning run...\n"; |
| 929 | int state = RunTest(modelFormat, inputTensorShapes, computeDevices, dynamicBackendsPath, modelPath, inputNames, |
| 930 | inputTensorDataFilePaths, inputTypes, quantizeInput, outputTypes, outputNames, |
| 931 | outputTensorFiles, dequantizeOutput, enableProfiling, enableFp16TurboMode, enableBf16TurboMode, |
Sadik Armagan | a9c2ce1 | 2020-07-14 10:02:22 +0100 | [diff] [blame] | 932 | thresholdTime, printIntermediate, subgraphId, enableLayerDetails, parseUnsupported, |
Sadik Armagan | a25886e | 2020-09-15 17:17:08 +0100 | [diff] [blame] | 933 | inferOutputShape, enableFastMath, 1, runtime); |
alered01 | a7227ac | 2020-05-07 14:58:29 +0100 | [diff] [blame] | 934 | |
| 935 | ARMNN_LOG(info) << "Tuning time: " << std::setprecision(2) |
| 936 | << std::fixed << armnn::GetTimeDuration(start_time).count() << " ms\n"; |
| 937 | |
| 938 | return state; |
| 939 | } |
| 940 | #endif |