blob: 33eb7f1ec2cfc2b5a9bebc470b85e2cedb5ddde6 [file] [log] [blame]
telsoa01c577f2c2018-08-31 09:22:23 +01001//
2// Copyright © 2017 Arm Ltd. All rights reserved.
David Beckecb56cd2018-09-05 12:52:57 +01003// SPDX-License-Identifier: MIT
telsoa01c577f2c2018-08-31 09:22:23 +01004//
5#include "../InferenceTest.hpp"
6#include "../MnistDatabase.hpp"
7#include "armnnOnnxParser/IOnnxParser.hpp"
8
9int main(int argc, char* argv[])
10{
11 armnn::TensorShape inputTensorShape({ 1, 1, 28, 28 });
12
13 int retVal = EXIT_FAILURE;
14 try
15 {
16 using DataType = float;
17 using DatabaseType = MnistDatabase;
18 using ParserType = armnnOnnxParser::IOnnxParser;
19 using ModelType = InferenceModel<ParserType, DataType>;
20
21 // Coverity fix: ClassifierInferenceTestMain() may throw uncaught exceptions.
22 retVal = armnn::test::ClassifierInferenceTestMain<DatabaseType, ParserType>(
23 argc, argv, "mnist_onnx.onnx", true,
24 "Input3", "Plus214_Output_0", { 0, 1, 2, 3, 4},
25 [](const char* dataDir, const ModelType&) {
26 return DatabaseType(dataDir, true);
27 },
28 &inputTensorShape);
29 }
30 catch (const std::exception& e)
31 {
32 // Coverity fix: BOOST_LOG_TRIVIAL (typically used to report errors) may throw an
33 // exception of type std::length_error.
34 // Using stderr instead in this context as there is no point in nesting try-catch blocks here.
35 std::cerr << "WARNING: OnnxMnist-Armnn: An error has occurred when running "
36 "the classifier inference tests: " << e.what() << std::endl;
37 }
38 return retVal;
39}