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author | telsoa01 <telmo.soares@arm.com> | 2018-08-31 09:22:23 +0100 |
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committer | telsoa01 <telmo.soares@arm.com> | 2018-08-31 09:22:23 +0100 |
commit | c577f2c6a3b4ddb6ba87a882723c53a248afbeba (patch) | |
tree | bd7d4c148df27f8be6649d313efb24f536b7cf34 /tests/TfLiteMobilenetQuantized-Armnn/TfLiteMobilenetQuantized-Armnn.cpp | |
parent | 4c7098bfeab1ffe1cdc77f6c15548d3e73274746 (diff) | |
download | armnn-c577f2c6a3b4ddb6ba87a882723c53a248afbeba.tar.gz |
Release 18.08
Diffstat (limited to 'tests/TfLiteMobilenetQuantized-Armnn/TfLiteMobilenetQuantized-Armnn.cpp')
-rw-r--r-- | tests/TfLiteMobilenetQuantized-Armnn/TfLiteMobilenetQuantized-Armnn.cpp | 84 |
1 files changed, 84 insertions, 0 deletions
diff --git a/tests/TfLiteMobilenetQuantized-Armnn/TfLiteMobilenetQuantized-Armnn.cpp b/tests/TfLiteMobilenetQuantized-Armnn/TfLiteMobilenetQuantized-Armnn.cpp new file mode 100644 index 0000000000..7383ab3d94 --- /dev/null +++ b/tests/TfLiteMobilenetQuantized-Armnn/TfLiteMobilenetQuantized-Armnn.cpp @@ -0,0 +1,84 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// See LICENSE file in the project root for full license information. +// +#include "../InferenceTest.hpp" +#include "../ImagePreprocessor.hpp" +#include "armnnTfLiteParser/ITfLiteParser.hpp" + +using namespace armnnTfLiteParser; + +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 0.949995 + // 160:Rhodesian ridgeback 0.0270182 + // 208:golden retriever 0.0192866 + // 853:tennis ball 0.000470382 + // 239:Greater Swiss Mountain dog 0.000464451 + {"Cat.jpg", 283}, + // top five predictions in tensorflow: + // ----------------------------------- + // 283:tiger cat 0.579016 + // 286:Egyptian cat 0.319676 + // 282:tabby, tabby cat 0.0873346 + // 288:lynx, catamount 0.011163 + // 289:leopard, Panthera pardus 0.000856755 + {"shark.jpg", 3}, + // top five predictions in tensorflow: + // ----------------------------------- + // 3:great white shark, white shark, ... 0.996926 + // 4:tiger shark, Galeocerdo cuvieri 0.00270528 + // 149:killer whale, killer, orca, ... 0.000121848 + // 395:sturgeon 7.78977e-05 + // 5:hammerhead, hammerhead shark 6.44127e-055 + }; + + armnn::TensorShape inputTensorShape({ 1, 224, 224, 3 }); + + using DataType = uint8_t; + using DatabaseType = ImagePreprocessor<DataType>; + using ParserType = armnnTfLiteParser::ITfLiteParser; + 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_quant.tflite", // model name + true, // model is binary + "input", // input tensor name + "MobilenetV1/Predictions/Reshape_1", // output tensor name + { 0, 1, 2 }, // test images to test with as above + [&imageSet](const char* dataDir, const ModelType & model) { + // we need to get the input quantization parameters from + // the parsed model + auto inputBinding = model.GetInputBindingInfo(); + return DatabaseType( + dataDir, + 224, + 224, + imageSet, + inputBinding.second.GetQuantizationScale(), + inputBinding.second.GetQuantizationOffset()); + }, + &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: " << *argv << ": An error has occurred when running " + "the classifier inference tests: " << e.what() << std::endl; + } + return retVal; +} |