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//
// 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 "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", 208 },
{ "Cat.jpg", 283 },
{ "shark.jpg", 3 },
};
armnn::TensorShape inputTensorShape({ 1, 299, 299, 3 });
using DataType = float;
using DatabaseType = ImagePreprocessor<float>;
using ParserType = armnnTfParser::ITfParser;
using ModelType = InferenceModel<ParserType, DataType>;
// Coverity fix: InferenceTestMain() may throw uncaught exceptions.
retVal = armnn::test::ClassifierInferenceTestMain<DatabaseType, ParserType>(
argc, argv, "inception_v3_2016_08_28_frozen_transformed.pb", true,
"input", "InceptionV3/Predictions/Reshape_1", { 0, 1, 2, },
[&imageSet](const char* dataDir, const ModelType&) {
return DatabaseType(dataDir, 299, 299, 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: TfInceptionV3-Armnn: An error has occurred when running "
"the classifier inference tests: " << e.what() << std::endl;
}
return retVal;
}
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