From c981df3bb24df1f98c233d885e73a2ea5c6d3449 Mon Sep 17 00:00:00 2001 From: Bruno Goncalves Date: Thu, 27 Dec 2018 16:15:01 -0200 Subject: Added TfLiteParser test for InceptionV3Quantized Change-Id: I6ed434b798c617f85ca1faa7c5eef4cdabff4a07 --- tests/CMakeLists.txt | 6 +++ .../TfLiteInceptionV3Quantized-Armnn.cpp | 63 ++++++++++++++++++++++ 2 files changed, 69 insertions(+) create mode 100644 tests/TfLiteInceptionV3Quantized-Armnn/TfLiteInceptionV3Quantized-Armnn.cpp (limited to 'tests') diff --git a/tests/CMakeLists.txt b/tests/CMakeLists.txt index 90fd5ec783..b8aa4fc16c 100644 --- a/tests/CMakeLists.txt +++ b/tests/CMakeLists.txt @@ -182,6 +182,12 @@ if (BUILD_TF_LITE_PARSER) ImagePreprocessor.hpp ImagePreprocessor.cpp) TfLiteParserTest(TfLiteVGG16Quantized-Armnn "${TfLiteVGG16Quantized-Armnn_sources}") + + set(TfLiteInceptionV3Quantized-Armnn_sources + TfLiteInceptionV3Quantized-Armnn/TfLiteInceptionV3Quantized-Armnn.cpp + ImagePreprocessor.hpp + ImagePreprocessor.cpp) + TfLiteParserTest(TfLiteInceptionV3Quantized-Armnn "${TfLiteInceptionV3Quantized-Armnn_sources}") endif() if (BUILD_ONNX_PARSER) diff --git a/tests/TfLiteInceptionV3Quantized-Armnn/TfLiteInceptionV3Quantized-Armnn.cpp b/tests/TfLiteInceptionV3Quantized-Armnn/TfLiteInceptionV3Quantized-Armnn.cpp new file mode 100644 index 0000000000..4fa0e140f1 --- /dev/null +++ b/tests/TfLiteInceptionV3Quantized-Armnn/TfLiteInceptionV3Quantized-Armnn.cpp @@ -0,0 +1,63 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// +#include "../InferenceTest.hpp" +#include "../ImagePreprocessor.hpp" +#include "armnnTfLiteParser/ITfLiteParser.hpp" + +using namespace armnnTfLiteParser; + +int main(int argc, char* argv[]) +{ + int retVal = EXIT_FAILURE; + try + { + std::vector imageSet = + { + {"Dog.jpg", 209}, + {"Cat.jpg", 283}, + {"shark.jpg", 3}, + + }; + + armnn::TensorShape inputTensorShape({ 1, 299, 299, 3 }); + + using DataType = uint8_t; + using DatabaseType = ImagePreprocessor; + using ParserType = armnnTfLiteParser::ITfLiteParser; + using ModelType = InferenceModel; + + // Coverity fix: ClassifierInferenceTestMain() may throw uncaught exceptions. + retVal = armnn::test::ClassifierInferenceTestMain( + argc, argv, + "inception_v3_quant.tflite", // model name + true, // model is binary + "input", // input tensor name + "output", // 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, + 299, + 299, + 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; +} -- cgit v1.2.1