| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| #include "../InferenceTest.hpp" |
| #include "../CaffePreprocessor.hpp" |
| #include "armnnTfParser/ITfParser.hpp" |
| |
| int main(int argc, char* argv[]) |
| { |
| int retVal = EXIT_FAILURE; |
| try |
| { |
| // Coverity fix: The following code may throw an exception of type std::length_error. |
| std::vector<ImageSet> imageSet = |
| { |
| {"ILSVRC2012_val_00000018.JPEG", 21 }, |
| {"shark.jpg", 2} |
| }; |
| |
| armnn::TensorShape inputTensorShape({ 1, 3, 224, 224 }); |
| |
| using DataType = float; |
| using DatabaseType = CaffePreprocessor; |
| using ParserType = armnnTfParser::ITfParser; |
| using ModelType = InferenceModel<ParserType, DataType>; |
| |
| // Coverity fix: ClassifierInferenceTestMain() may throw uncaught exceptions. |
| retVal = armnn::test::ClassifierInferenceTestMain<DatabaseType, ParserType>( |
| argc, argv, "resnext_TF_quantized_for_armnn_team.pb", true, |
| "inputs", "pool1", { 0, 1 }, |
| [&imageSet](const char* dataDir, const ModelType &) { |
| return DatabaseType(dataDir, 224, 224, imageSet); |
| }, |
| &inputTensorShape); |
| } |
| catch (const std::exception& e) |
| { |
| // Coverity fix: BOOST_LOG_TRIVIAL (typically used to report errors) may throw an |
| // exception of type std::length_error. |
| // Using stderr instead in this context as there is no point in nesting try-catch blocks here. |
| std::cerr << "WARNING: TfResNext_Quantized-Armnn: An error has occurred when running " |
| "the classifier inference tests: " << e.what() << std::endl; |
| } |
| return retVal; |
| } |