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Diffstat (limited to 'tests/TfMobileNet-Armnn/TfMobileNet-Armnn.cpp')
-rw-r--r-- | tests/TfMobileNet-Armnn/TfMobileNet-Armnn.cpp | 78 |
1 files changed, 0 insertions, 78 deletions
diff --git a/tests/TfMobileNet-Armnn/TfMobileNet-Armnn.cpp b/tests/TfMobileNet-Armnn/TfMobileNet-Armnn.cpp deleted file mode 100644 index 6748b12d9d..0000000000 --- a/tests/TfMobileNet-Armnn/TfMobileNet-Armnn.cpp +++ /dev/null @@ -1,78 +0,0 @@ -// -// Copyright © 2017 Arm Ltd. All rights reserved. -// SPDX-License-Identifier: MIT -// -#include "../InferenceTest.hpp" -#include "../ImagePreprocessor.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 = - { - {"Dog.jpg", 209}, - // Top five predictions in tensorflow: - // ----------------------------------- - // 209:Labrador retriever 0.46392533 - // 160:Rhodesian ridgeback 0.29911423 - // 208:golden retriever 0.108059585 - // 169:redbone 0.033753652 - // 274:dingo, warrigal, warragal, ... 0.01232666 - - {"Cat.jpg", 283}, - // Top five predictions in tensorflow: - // ----------------------------------- - // 283:tiger cat 0.6508582 - // 286:Egyptian cat 0.2604343 - // 282:tabby, tabby cat 0.028786005 - // 288:lynx, catamount 0.020673484 - // 40:common iguana, iguana, ... 0.0080499435 - - {"shark.jpg", 3}, - // Top five predictions in tensorflow: - // ----------------------------------- - // 3:great white shark, white shark, ... 0.96672016 - // 4:tiger shark, Galeocerdo cuvieri 0.028302953 - // 149:killer whale, killer, orca, ... 0.0020228163 - // 5:hammerhead, hammerhead shark 0.0017547971 - // 150:dugong, Dugong dugon 0.0003968083 - }; - - armnn::TensorShape inputTensorShape({ 1, 224, 224, 3 }); - - using DataType = float; - using DatabaseType = ImagePreprocessor<float>; - using ParserType = armnnTfParser::ITfParser; - using ModelType = InferenceModel<ParserType, DataType>; - - // Coverity fix: ClassifierInferenceTestMain() may throw uncaught exceptions. - retVal = armnn::test::ClassifierInferenceTestMain<DatabaseType, ParserType>( - argc, argv, - "mobilenet_v1_1.0_224_frozen.pb", // model name - true, // model is binary - "input", "MobilenetV1/Predictions/Reshape_1", // input and output tensor names - { 0, 1, 2 }, // test images to test with as above - [&imageSet](const char* dataDir, const ModelType&) { - // This creates a 224x224x3 NHWC float tensor to pass to Armnn - 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: TfMobileNet-Armnn: An error has occurred when running " - "the classifier inference tests: " << e.what() << std::endl; - } - return retVal; -} |