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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/OnnxMobileNet-Armnn/OnnxMobileNet-Armnn.cpp | |
parent | 4c7098bfeab1ffe1cdc77f6c15548d3e73274746 (diff) | |
download | armnn-c577f2c6a3b4ddb6ba87a882723c53a248afbeba.tar.gz |
Release 18.08
Diffstat (limited to 'tests/OnnxMobileNet-Armnn/OnnxMobileNet-Armnn.cpp')
-rw-r--r-- | tests/OnnxMobileNet-Armnn/OnnxMobileNet-Armnn.cpp | 60 |
1 files changed, 60 insertions, 0 deletions
diff --git a/tests/OnnxMobileNet-Armnn/OnnxMobileNet-Armnn.cpp b/tests/OnnxMobileNet-Armnn/OnnxMobileNet-Armnn.cpp new file mode 100644 index 0000000000..0d2d937469 --- /dev/null +++ b/tests/OnnxMobileNet-Armnn/OnnxMobileNet-Armnn.cpp @@ -0,0 +1,60 @@ +// +// 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 "armnnOnnxParser/IOnnxParser.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", 281}, + {"shark.jpg", 2}, + }; + + armnn::TensorShape inputTensorShape({ 1, 3, 224, 224 }); + + using DataType = float; + using DatabaseType = ImagePreprocessor<float>; + using ParserType = armnnOnnxParser::IOnnxParser; + using ModelType = InferenceModel<ParserType, DataType>; + + // Coverity fix: ClassifierInferenceTestMain() may throw uncaught exceptions. + retVal = armnn::test::ClassifierInferenceTestMain<DatabaseType, ParserType>( + argc, argv, + "mobilenetv2-1.0.onnx", // model name + true, // model is binary + "data", "mobilenetv20_output_flatten0_reshape0", // input and output tensor names + { 0, 1, 2 }, // test images to test with as above + [&imageSet](const char* dataDir, const ModelType&) { + // This creates create a 1, 3, 224, 224 normalized input with mean and stddev to pass to Armnn + return DatabaseType( + dataDir, + 224, + 224, + imageSet, + 1.0, // scale + 0, // offset + {{0.485f, 0.456f, 0.406f}}, // mean + {{0.229f, 0.224f, 0.225f}}, // stddev + DatabaseType::DataFormat::NCHW); // format + }, + &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: OnnxMobileNet-Armnn: An error has occurred when running " + "the classifier inference tests: " << e.what() << std::endl; + } + return retVal; +} |