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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "../InferenceTest.hpp"
#include "../MnistDatabase.hpp"
#include "armnnOnnxParser/IOnnxParser.hpp"
int main(int argc, char* argv[])
{
armnn::TensorShape inputTensorShape({ 1, 1, 28, 28 });
int retVal = EXIT_FAILURE;
try
{
using DataType = float;
using DatabaseType = MnistDatabase;
using ParserType = armnnOnnxParser::IOnnxParser;
using ModelType = InferenceModel<ParserType, DataType>;
// Coverity fix: ClassifierInferenceTestMain() may throw uncaught exceptions.
retVal = armnn::test::ClassifierInferenceTestMain<DatabaseType, ParserType>(
argc, argv, "mnist_onnx.onnx", true,
"Input3", "Plus214_Output_0", { 0, 1, 2, 3, 4},
[](const char* dataDir, const ModelType&) {
return DatabaseType(dataDir, true);
},
&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: OnnxMnist-Armnn: An error has occurred when running "
"the classifier inference tests: " << e.what() << std::endl;
}
return retVal;
}
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