Nattapat Chaimanowong | 4fbae33 | 2019-02-14 15:28:02 +0000 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | #include <armnn/ArmNN.hpp> |
| 6 | |
Sadik Armagan | 232cfc2 | 2019-03-13 18:33:10 +0000 | [diff] [blame] | 7 | #if defined(ARMNN_CAFFE_PARSER) |
| 8 | #include <armnnCaffeParser/ICaffeParser.hpp> |
| 9 | #endif |
| 10 | #if defined(ARMNN_ONNX_PARSER) |
| 11 | #include <armnnOnnxParser/IOnnxParser.hpp> |
| 12 | #endif |
| 13 | #if defined(ARMNN_SERIALIZER) |
Nattapat Chaimanowong | 4fbae33 | 2019-02-14 15:28:02 +0000 | [diff] [blame] | 14 | #include <armnnSerializer/ISerializer.hpp> |
Sadik Armagan | 232cfc2 | 2019-03-13 18:33:10 +0000 | [diff] [blame] | 15 | #endif |
| 16 | #if defined(ARMNN_TF_PARSER) |
Nattapat Chaimanowong | 4fbae33 | 2019-02-14 15:28:02 +0000 | [diff] [blame] | 17 | #include <armnnTfParser/ITfParser.hpp> |
Sadik Armagan | 232cfc2 | 2019-03-13 18:33:10 +0000 | [diff] [blame] | 18 | #endif |
| 19 | #if defined(ARMNN_TF_LITE_PARSER) |
| 20 | #include <armnnTfLiteParser/ITfLiteParser.hpp> |
| 21 | #endif |
Nattapat Chaimanowong | 4fbae33 | 2019-02-14 15:28:02 +0000 | [diff] [blame] | 22 | |
| 23 | #include <Logging.hpp> |
| 24 | #include <HeapProfiling.hpp> |
| 25 | |
| 26 | #include <boost/format.hpp> |
| 27 | #include <boost/algorithm/string/split.hpp> |
| 28 | #include <boost/algorithm/string/classification.hpp> |
| 29 | #include <boost/program_options.hpp> |
| 30 | |
Les Bell | 10e6be4 | 2019-03-28 12:26:46 +0000 | [diff] [blame] | 31 | #include <cstdlib> |
Nattapat Chaimanowong | 4fbae33 | 2019-02-14 15:28:02 +0000 | [diff] [blame] | 32 | #include <fstream> |
Les Bell | 10e6be4 | 2019-03-28 12:26:46 +0000 | [diff] [blame] | 33 | #include <iostream> |
Nattapat Chaimanowong | 4fbae33 | 2019-02-14 15:28:02 +0000 | [diff] [blame] | 34 | |
| 35 | namespace |
| 36 | { |
| 37 | |
| 38 | namespace po = boost::program_options; |
| 39 | |
| 40 | armnn::TensorShape ParseTensorShape(std::istream& stream) |
| 41 | { |
| 42 | std::vector<unsigned int> result; |
| 43 | std::string line; |
| 44 | |
| 45 | while (std::getline(stream, line)) |
| 46 | { |
| 47 | std::vector<std::string> tokens; |
| 48 | try |
| 49 | { |
| 50 | // Coverity fix: boost::split() may throw an exception of type boost::bad_function_call. |
| 51 | boost::split(tokens, line, boost::algorithm::is_any_of(","), boost::token_compress_on); |
| 52 | } |
| 53 | catch (const std::exception& e) |
| 54 | { |
| 55 | BOOST_LOG_TRIVIAL(error) << "An error occurred when splitting tokens: " << e.what(); |
| 56 | continue; |
| 57 | } |
| 58 | for (const std::string& token : tokens) |
| 59 | { |
| 60 | if (!token.empty()) |
| 61 | { |
| 62 | try |
| 63 | { |
| 64 | result.push_back(boost::numeric_cast<unsigned int>(std::stoi((token)))); |
| 65 | } |
| 66 | catch (const std::exception&) |
| 67 | { |
| 68 | BOOST_LOG_TRIVIAL(error) << "'" << token << "' is not a valid number. It has been ignored."; |
| 69 | } |
| 70 | } |
| 71 | } |
| 72 | } |
| 73 | |
| 74 | return armnn::TensorShape(boost::numeric_cast<unsigned int>(result.size()), result.data()); |
| 75 | } |
| 76 | |
| 77 | bool CheckOption(const po::variables_map& vm, |
| 78 | const char* option) |
| 79 | { |
| 80 | if (option == nullptr) |
| 81 | { |
| 82 | return false; |
| 83 | } |
| 84 | |
| 85 | // Check whether 'option' is provided. |
| 86 | return vm.find(option) != vm.end(); |
| 87 | } |
| 88 | |
| 89 | void CheckOptionDependency(const po::variables_map& vm, |
| 90 | const char* option, |
| 91 | const char* required) |
| 92 | { |
| 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"); |
| 112 | CheckOptionDependency(vm, "model-path", "output-name"); |
| 113 | CheckOptionDependency(vm, "input-tensor-shape", "model-path"); |
| 114 | } |
| 115 | |
| 116 | int ParseCommandLineArgs(int argc, const char* argv[], |
| 117 | std::string& modelFormat, |
| 118 | std::string& modelPath, |
| 119 | std::vector<std::string>& inputNames, |
| 120 | std::vector<std::string>& inputTensorShapeStrs, |
| 121 | std::vector<std::string>& outputNames, |
| 122 | std::string& outputPath, bool& isModelBinary) |
| 123 | { |
| 124 | po::options_description desc("Options"); |
| 125 | |
| 126 | desc.add_options() |
| 127 | ("help", "Display usage information") |
Sadik Armagan | 232cfc2 | 2019-03-13 18:33:10 +0000 | [diff] [blame] | 128 | ("model-format,f", po::value(&modelFormat)->required(),"Format of the model file" |
| 129 | #if defined(ARMNN_CAFFE_PARSER) |
| 130 | ", caffe-binary, caffe-text" |
| 131 | #endif |
| 132 | #if defined(ARMNN_ONNX_PARSER) |
| 133 | ", onnx-binary, onnx-text" |
| 134 | #endif |
Les Bell | 10e6be4 | 2019-03-28 12:26:46 +0000 | [diff] [blame] | 135 | #if defined(ARMNN_TF_PARSER) |
Sadik Armagan | 232cfc2 | 2019-03-13 18:33:10 +0000 | [diff] [blame] | 136 | ", tensorflow-binary, tensorflow-text" |
| 137 | #endif |
| 138 | #if defined(ARMNN_TF_LITE_PARSER) |
| 139 | ", tflite-binary" |
| 140 | #endif |
| 141 | ".") |
Les Bell | 10e6be4 | 2019-03-28 12:26:46 +0000 | [diff] [blame] | 142 | ("model-path,m", po::value(&modelPath)->required(), "Path to model file.") |
Nattapat Chaimanowong | 4fbae33 | 2019-02-14 15:28:02 +0000 | [diff] [blame] | 143 | ("input-name,i", po::value<std::vector<std::string>>()->multitoken(), |
Les Bell | 10e6be4 | 2019-03-28 12:26:46 +0000 | [diff] [blame] | 144 | "Identifier of the input tensors in the network, separated by whitespace.") |
Nattapat Chaimanowong | 4fbae33 | 2019-02-14 15:28:02 +0000 | [diff] [blame] | 145 | ("input-tensor-shape,s", po::value<std::vector<std::string>>()->multitoken(), |
Les Bell | 10e6be4 | 2019-03-28 12:26:46 +0000 | [diff] [blame] | 146 | "The shape of the input tensor in the network as a flat array of integers, separated by comma." |
| 147 | " Multiple shapes are separated by whitespace." |
| 148 | " This parameter is optional, depending on the network.") |
Nattapat Chaimanowong | 4fbae33 | 2019-02-14 15:28:02 +0000 | [diff] [blame] | 149 | ("output-name,o", po::value<std::vector<std::string>>()->multitoken(), |
| 150 | "Identifier of the output tensor in the network.") |
| 151 | ("output-path,p", po::value(&outputPath)->required(), "Path to serialize the network to."); |
| 152 | |
| 153 | po::variables_map vm; |
| 154 | try |
| 155 | { |
| 156 | po::store(po::parse_command_line(argc, argv, desc), vm); |
| 157 | |
| 158 | if (CheckOption(vm, "help") || argc <= 1) |
| 159 | { |
Les Bell | 10e6be4 | 2019-03-28 12:26:46 +0000 | [diff] [blame] | 160 | std::cout << "Convert a neural network model from provided file to ArmNN format." << std::endl; |
Nattapat Chaimanowong | 4fbae33 | 2019-02-14 15:28:02 +0000 | [diff] [blame] | 161 | std::cout << std::endl; |
| 162 | std::cout << desc << std::endl; |
Les Bell | 10e6be4 | 2019-03-28 12:26:46 +0000 | [diff] [blame] | 163 | exit(EXIT_SUCCESS); |
Nattapat Chaimanowong | 4fbae33 | 2019-02-14 15:28:02 +0000 | [diff] [blame] | 164 | } |
Nattapat Chaimanowong | 4fbae33 | 2019-02-14 15:28:02 +0000 | [diff] [blame] | 165 | po::notify(vm); |
| 166 | } |
| 167 | catch (const po::error& e) |
| 168 | { |
| 169 | std::cerr << e.what() << std::endl << std::endl; |
| 170 | std::cerr << desc << std::endl; |
| 171 | return EXIT_FAILURE; |
| 172 | } |
| 173 | |
| 174 | try |
| 175 | { |
| 176 | CheckOptionDependencies(vm); |
| 177 | } |
| 178 | catch (const po::error& e) |
| 179 | { |
| 180 | std::cerr << e.what() << std::endl << std::endl; |
| 181 | std::cerr << desc << std::endl; |
| 182 | return EXIT_FAILURE; |
| 183 | } |
| 184 | |
| 185 | if (modelFormat.find("bin") != std::string::npos) |
| 186 | { |
| 187 | isModelBinary = true; |
| 188 | } |
Sadik Armagan | 232cfc2 | 2019-03-13 18:33:10 +0000 | [diff] [blame] | 189 | else if (modelFormat.find("text") != std::string::npos) |
Nattapat Chaimanowong | 4fbae33 | 2019-02-14 15:28:02 +0000 | [diff] [blame] | 190 | { |
| 191 | isModelBinary = false; |
| 192 | } |
| 193 | else |
| 194 | { |
| 195 | BOOST_LOG_TRIVIAL(fatal) << "Unknown model format: '" << modelFormat << "'. Please include 'binary' or 'text'"; |
| 196 | return EXIT_FAILURE; |
| 197 | } |
| 198 | |
Matthew Bentham | c01b391 | 2019-04-26 16:57:29 +0100 | [diff] [blame] | 199 | if (!vm["input-tensor-shape"].empty()) |
| 200 | { |
| 201 | inputTensorShapeStrs = vm["input-tensor-shape"].as<std::vector<std::string>>(); |
| 202 | } |
| 203 | |
Nattapat Chaimanowong | 4fbae33 | 2019-02-14 15:28:02 +0000 | [diff] [blame] | 204 | inputNames = vm["input-name"].as<std::vector<std::string>>(); |
Nattapat Chaimanowong | 4fbae33 | 2019-02-14 15:28:02 +0000 | [diff] [blame] | 205 | outputNames = vm["output-name"].as<std::vector<std::string>>(); |
| 206 | |
| 207 | return EXIT_SUCCESS; |
| 208 | } |
| 209 | |
Sadik Armagan | 232cfc2 | 2019-03-13 18:33:10 +0000 | [diff] [blame] | 210 | template<typename T> |
| 211 | struct ParserType |
| 212 | { |
| 213 | typedef T parserType; |
| 214 | }; |
| 215 | |
Nattapat Chaimanowong | 4fbae33 | 2019-02-14 15:28:02 +0000 | [diff] [blame] | 216 | class ArmnnConverter |
| 217 | { |
| 218 | public: |
| 219 | ArmnnConverter(const std::string& modelPath, |
| 220 | const std::vector<std::string>& inputNames, |
| 221 | const std::vector<armnn::TensorShape>& inputShapes, |
| 222 | const std::vector<std::string>& outputNames, |
| 223 | const std::string& outputPath, |
| 224 | bool isModelBinary) |
| 225 | : m_NetworkPtr(armnn::INetworkPtr(nullptr, [](armnn::INetwork *){})), |
| 226 | m_ModelPath(modelPath), |
| 227 | m_InputNames(inputNames), |
| 228 | m_InputShapes(inputShapes), |
| 229 | m_OutputNames(outputNames), |
| 230 | m_OutputPath(outputPath), |
| 231 | m_IsModelBinary(isModelBinary) {} |
| 232 | |
| 233 | bool Serialize() |
| 234 | { |
| 235 | if (m_NetworkPtr.get() == nullptr) |
| 236 | { |
| 237 | return false; |
| 238 | } |
| 239 | |
| 240 | auto serializer(armnnSerializer::ISerializer::Create()); |
| 241 | |
| 242 | serializer->Serialize(*m_NetworkPtr); |
| 243 | |
| 244 | std::ofstream file(m_OutputPath, std::ios::out | std::ios::binary); |
| 245 | |
| 246 | bool retVal = serializer->SaveSerializedToStream(file); |
| 247 | |
| 248 | return retVal; |
| 249 | } |
| 250 | |
| 251 | template <typename IParser> |
| 252 | bool CreateNetwork () |
| 253 | { |
Sadik Armagan | 232cfc2 | 2019-03-13 18:33:10 +0000 | [diff] [blame] | 254 | return CreateNetwork (ParserType<IParser>()); |
| 255 | } |
| 256 | |
| 257 | private: |
| 258 | armnn::INetworkPtr m_NetworkPtr; |
| 259 | std::string m_ModelPath; |
| 260 | std::vector<std::string> m_InputNames; |
| 261 | std::vector<armnn::TensorShape> m_InputShapes; |
| 262 | std::vector<std::string> m_OutputNames; |
| 263 | std::string m_OutputPath; |
| 264 | bool m_IsModelBinary; |
| 265 | |
| 266 | template <typename IParser> |
| 267 | bool CreateNetwork (ParserType<IParser>) |
| 268 | { |
Nattapat Chaimanowong | 4fbae33 | 2019-02-14 15:28:02 +0000 | [diff] [blame] | 269 | // Create a network from a file on disk |
| 270 | auto parser(IParser::Create()); |
| 271 | |
| 272 | std::map<std::string, armnn::TensorShape> inputShapes; |
| 273 | if (!m_InputShapes.empty()) |
| 274 | { |
| 275 | const size_t numInputShapes = m_InputShapes.size(); |
| 276 | const size_t numInputBindings = m_InputNames.size(); |
| 277 | if (numInputShapes < numInputBindings) |
| 278 | { |
| 279 | throw armnn::Exception(boost::str(boost::format( |
| 280 | "Not every input has its tensor shape specified: expected=%1%, got=%2%") |
| 281 | % numInputBindings % numInputShapes)); |
| 282 | } |
| 283 | |
| 284 | for (size_t i = 0; i < numInputShapes; i++) |
| 285 | { |
| 286 | inputShapes[m_InputNames[i]] = m_InputShapes[i]; |
| 287 | } |
| 288 | } |
| 289 | |
| 290 | { |
| 291 | ARMNN_SCOPED_HEAP_PROFILING("Parsing"); |
| 292 | m_NetworkPtr = (m_IsModelBinary ? |
| 293 | parser->CreateNetworkFromBinaryFile(m_ModelPath.c_str(), inputShapes, m_OutputNames) : |
| 294 | parser->CreateNetworkFromTextFile(m_ModelPath.c_str(), inputShapes, m_OutputNames)); |
| 295 | } |
| 296 | |
| 297 | return m_NetworkPtr.get() != nullptr; |
| 298 | } |
| 299 | |
Sadik Armagan | 232cfc2 | 2019-03-13 18:33:10 +0000 | [diff] [blame] | 300 | #if defined(ARMNN_TF_LITE_PARSER) |
| 301 | bool CreateNetwork (ParserType<armnnTfLiteParser::ITfLiteParser>) |
| 302 | { |
| 303 | // Create a network from a file on disk |
| 304 | auto parser(armnnTfLiteParser::ITfLiteParser::Create()); |
| 305 | |
| 306 | if (!m_InputShapes.empty()) |
| 307 | { |
| 308 | const size_t numInputShapes = m_InputShapes.size(); |
| 309 | const size_t numInputBindings = m_InputNames.size(); |
| 310 | if (numInputShapes < numInputBindings) |
| 311 | { |
| 312 | throw armnn::Exception(boost::str(boost::format( |
| 313 | "Not every input has its tensor shape specified: expected=%1%, got=%2%") |
| 314 | % numInputBindings % numInputShapes)); |
| 315 | } |
| 316 | } |
| 317 | |
| 318 | { |
| 319 | ARMNN_SCOPED_HEAP_PROFILING("Parsing"); |
| 320 | m_NetworkPtr = parser->CreateNetworkFromBinaryFile(m_ModelPath.c_str()); |
| 321 | } |
| 322 | |
| 323 | return m_NetworkPtr.get() != nullptr; |
| 324 | } |
| 325 | #endif |
| 326 | |
| 327 | #if defined(ARMNN_ONNX_PARSER) |
| 328 | bool CreateNetwork (ParserType<armnnOnnxParser::IOnnxParser>) |
| 329 | { |
| 330 | // Create a network from a file on disk |
| 331 | auto parser(armnnOnnxParser::IOnnxParser::Create()); |
| 332 | |
| 333 | if (!m_InputShapes.empty()) |
| 334 | { |
| 335 | const size_t numInputShapes = m_InputShapes.size(); |
| 336 | const size_t numInputBindings = m_InputNames.size(); |
| 337 | if (numInputShapes < numInputBindings) |
| 338 | { |
| 339 | throw armnn::Exception(boost::str(boost::format( |
| 340 | "Not every input has its tensor shape specified: expected=%1%, got=%2%") |
| 341 | % numInputBindings % numInputShapes)); |
| 342 | } |
| 343 | } |
| 344 | |
| 345 | { |
| 346 | ARMNN_SCOPED_HEAP_PROFILING("Parsing"); |
| 347 | m_NetworkPtr = (m_IsModelBinary ? |
| 348 | parser->CreateNetworkFromBinaryFile(m_ModelPath.c_str()) : |
| 349 | parser->CreateNetworkFromTextFile(m_ModelPath.c_str())); |
| 350 | } |
| 351 | |
| 352 | return m_NetworkPtr.get() != nullptr; |
| 353 | } |
| 354 | #endif |
| 355 | |
Nattapat Chaimanowong | 4fbae33 | 2019-02-14 15:28:02 +0000 | [diff] [blame] | 356 | }; |
| 357 | |
| 358 | } // anonymous namespace |
| 359 | |
| 360 | int main(int argc, const char* argv[]) |
| 361 | { |
| 362 | |
Sadik Armagan | 232cfc2 | 2019-03-13 18:33:10 +0000 | [diff] [blame] | 363 | #if (!defined(ARMNN_CAFFE_PARSER) \ |
| 364 | && !defined(ARMNN_ONNX_PARSER) \ |
| 365 | && !defined(ARMNN_TF_PARSER) \ |
| 366 | && !defined(ARMNN_TF_LITE_PARSER)) |
| 367 | BOOST_LOG_TRIVIAL(fatal) << "Not built with any of the supported parsers, Caffe, Onnx, Tensorflow, or TfLite."; |
Nattapat Chaimanowong | 4fbae33 | 2019-02-14 15:28:02 +0000 | [diff] [blame] | 368 | return EXIT_FAILURE; |
| 369 | #endif |
| 370 | |
| 371 | #if !defined(ARMNN_SERIALIZER) |
| 372 | BOOST_LOG_TRIVIAL(fatal) << "Not built with Serializer support."; |
| 373 | return EXIT_FAILURE; |
| 374 | #endif |
| 375 | |
| 376 | #ifdef NDEBUG |
| 377 | armnn::LogSeverity level = armnn::LogSeverity::Info; |
| 378 | #else |
| 379 | armnn::LogSeverity level = armnn::LogSeverity::Debug; |
| 380 | #endif |
| 381 | |
| 382 | armnn::ConfigureLogging(true, true, level); |
| 383 | armnnUtils::ConfigureLogging(boost::log::core::get().get(), true, true, level); |
| 384 | |
| 385 | std::string modelFormat; |
| 386 | std::string modelPath; |
| 387 | |
| 388 | std::vector<std::string> inputNames; |
| 389 | std::vector<std::string> inputTensorShapeStrs; |
| 390 | std::vector<armnn::TensorShape> inputTensorShapes; |
| 391 | |
| 392 | std::vector<std::string> outputNames; |
| 393 | std::string outputPath; |
| 394 | |
| 395 | bool isModelBinary = true; |
| 396 | |
| 397 | if (ParseCommandLineArgs( |
| 398 | argc, argv, modelFormat, modelPath, inputNames, inputTensorShapeStrs, outputNames, outputPath, isModelBinary) |
| 399 | != EXIT_SUCCESS) |
| 400 | { |
| 401 | return EXIT_FAILURE; |
| 402 | } |
| 403 | |
| 404 | for (const std::string& shapeStr : inputTensorShapeStrs) |
| 405 | { |
| 406 | if (!shapeStr.empty()) |
| 407 | { |
| 408 | std::stringstream ss(shapeStr); |
| 409 | |
| 410 | try |
| 411 | { |
| 412 | armnn::TensorShape shape = ParseTensorShape(ss); |
| 413 | inputTensorShapes.push_back(shape); |
| 414 | } |
| 415 | catch (const armnn::InvalidArgumentException& e) |
| 416 | { |
| 417 | BOOST_LOG_TRIVIAL(fatal) << "Cannot create tensor shape: " << e.what(); |
| 418 | return EXIT_FAILURE; |
| 419 | } |
| 420 | } |
| 421 | } |
| 422 | |
| 423 | ArmnnConverter converter(modelPath, inputNames, inputTensorShapes, outputNames, outputPath, isModelBinary); |
| 424 | |
Sadik Armagan | 232cfc2 | 2019-03-13 18:33:10 +0000 | [diff] [blame] | 425 | if (modelFormat.find("caffe") != std::string::npos) |
Nattapat Chaimanowong | 4fbae33 | 2019-02-14 15:28:02 +0000 | [diff] [blame] | 426 | { |
Sadik Armagan | 232cfc2 | 2019-03-13 18:33:10 +0000 | [diff] [blame] | 427 | #if defined(ARMNN_CAFFE_PARSER) |
| 428 | if (!converter.CreateNetwork<armnnCaffeParser::ICaffeParser>()) |
| 429 | { |
| 430 | BOOST_LOG_TRIVIAL(fatal) << "Failed to load model from file"; |
| 431 | return EXIT_FAILURE; |
| 432 | } |
| 433 | #else |
| 434 | BOOST_LOG_TRIVIAL(fatal) << "Not built with Caffe parser support."; |
| 435 | return EXIT_FAILURE; |
| 436 | #endif |
| 437 | } |
| 438 | else if (modelFormat.find("onnx") != std::string::npos) |
| 439 | { |
| 440 | #if defined(ARMNN_ONNX_PARSER) |
| 441 | if (!converter.CreateNetwork<armnnOnnxParser::IOnnxParser>()) |
| 442 | { |
| 443 | BOOST_LOG_TRIVIAL(fatal) << "Failed to load model from file"; |
| 444 | return EXIT_FAILURE; |
| 445 | } |
| 446 | #else |
| 447 | BOOST_LOG_TRIVIAL(fatal) << "Not built with Onnx parser support."; |
| 448 | return EXIT_FAILURE; |
| 449 | #endif |
| 450 | } |
| 451 | else if (modelFormat.find("tensorflow") != std::string::npos) |
| 452 | { |
| 453 | #if defined(ARMNN_TF_PARSER) |
Nattapat Chaimanowong | 4fbae33 | 2019-02-14 15:28:02 +0000 | [diff] [blame] | 454 | if (!converter.CreateNetwork<armnnTfParser::ITfParser>()) |
| 455 | { |
| 456 | BOOST_LOG_TRIVIAL(fatal) << "Failed to load model from file"; |
| 457 | return EXIT_FAILURE; |
| 458 | } |
Sadik Armagan | 232cfc2 | 2019-03-13 18:33:10 +0000 | [diff] [blame] | 459 | #else |
| 460 | BOOST_LOG_TRIVIAL(fatal) << "Not built with Tensorflow parser support."; |
| 461 | return EXIT_FAILURE; |
| 462 | #endif |
| 463 | } |
| 464 | else if (modelFormat.find("tflite") != std::string::npos) |
| 465 | { |
| 466 | #if defined(ARMNN_TF_LITE_PARSER) |
| 467 | if (!isModelBinary) |
| 468 | { |
| 469 | BOOST_LOG_TRIVIAL(fatal) << "Unknown model format: '" << modelFormat << "'. Only 'binary' format supported \ |
| 470 | for tflite files"; |
| 471 | return EXIT_FAILURE; |
| 472 | } |
| 473 | |
| 474 | if (!converter.CreateNetwork<armnnTfLiteParser::ITfLiteParser>()) |
| 475 | { |
| 476 | BOOST_LOG_TRIVIAL(fatal) << "Failed to load model from file"; |
| 477 | return EXIT_FAILURE; |
| 478 | } |
| 479 | #else |
| 480 | BOOST_LOG_TRIVIAL(fatal) << "Not built with TfLite parser support."; |
| 481 | return EXIT_FAILURE; |
| 482 | #endif |
Nattapat Chaimanowong | 4fbae33 | 2019-02-14 15:28:02 +0000 | [diff] [blame] | 483 | } |
| 484 | else |
| 485 | { |
Les Bell | 10e6be4 | 2019-03-28 12:26:46 +0000 | [diff] [blame] | 486 | BOOST_LOG_TRIVIAL(fatal) << "Unknown model format: '" << modelFormat << "'"; |
Nattapat Chaimanowong | 4fbae33 | 2019-02-14 15:28:02 +0000 | [diff] [blame] | 487 | return EXIT_FAILURE; |
| 488 | } |
| 489 | |
| 490 | if (!converter.Serialize()) |
| 491 | { |
| 492 | BOOST_LOG_TRIVIAL(fatal) << "Failed to serialize model"; |
| 493 | return EXIT_FAILURE; |
| 494 | } |
| 495 | |
| 496 | return EXIT_SUCCESS; |
| 497 | } |