Aron Virginas-Tar | d089b74 | 2019-01-29 11:09:51 +0000 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | #include "../MobileNetSsdInferenceTest.hpp" |
| 6 | |
| 7 | #include "armnnTfLiteParser/ITfLiteParser.hpp" |
| 8 | |
| 9 | #include <algorithm> |
| 10 | #include <iterator> |
| 11 | |
| 12 | using namespace armnnTfLiteParser; |
| 13 | |
| 14 | int main(int argc, char* argv[]) |
| 15 | { |
| 16 | int retVal = EXIT_FAILURE; |
| 17 | try |
| 18 | { |
| 19 | using DataType = float; |
| 20 | using Parser = armnnTfLiteParser::ITfLiteParser; |
| 21 | using Model = InferenceModel<Parser, DataType>; |
| 22 | |
| 23 | armnn::TensorShape inputTensorShape({ 1, 300, 300, 3 }); |
| 24 | |
| 25 | std::vector<const char*> inputLayerNames = |
| 26 | { |
| 27 | "normalized_input_image_tensor" |
| 28 | }; |
| 29 | |
| 30 | std::vector<const char*> outputLayerNames = |
| 31 | { |
| 32 | "TFLite_Detection_PostProcess", |
| 33 | "TFLite_Detection_PostProcess:1", |
| 34 | "TFLite_Detection_PostProcess:2", |
| 35 | "TFLite_Detection_PostProcess:3" |
| 36 | }; |
| 37 | |
| 38 | retVal = InferenceTestMain(argc, argv, { 0 }, |
| 39 | [&inputTensorShape, inputLayerNames, outputLayerNames]() |
| 40 | { |
| 41 | return make_unique<MobileNetSsdTestCaseProvider<Model>>( |
| 42 | [&] |
Matthew Bentham | 3e68b97 | 2019-04-09 13:10:46 +0100 | [diff] [blame] | 43 | (const InferenceTestOptions& commonOptions, |
| 44 | typename Model::CommandLineOptions modelOptions) |
Aron Virginas-Tar | d089b74 | 2019-01-29 11:09:51 +0000 | [diff] [blame] | 45 | { |
| 46 | if (!ValidateDirectory(modelOptions.m_ModelDir)) |
| 47 | { |
| 48 | return std::unique_ptr<Model>(); |
| 49 | } |
| 50 | |
| 51 | typename Model::Params modelParams; |
| 52 | modelParams.m_ModelPath = |
| 53 | modelOptions.m_ModelDir + "ssd_mobilenet_v1.tflite"; |
| 54 | |
| 55 | std::copy(inputLayerNames.begin(), inputLayerNames.end(), |
| 56 | std::back_inserter(modelParams.m_InputBindings)); |
| 57 | |
| 58 | std::copy(outputLayerNames.begin(), outputLayerNames.end(), |
| 59 | std::back_inserter(modelParams.m_OutputBindings)); |
| 60 | |
| 61 | modelParams.m_InputShapes = { inputTensorShape }; |
| 62 | modelParams.m_IsModelBinary = true; |
Aron Virginas-Tar | 339bcae | 2019-01-31 16:44:26 +0000 | [diff] [blame] | 63 | modelParams.m_ComputeDevices = modelOptions.GetComputeDevicesAsBackendIds(); |
Aron Virginas-Tar | d089b74 | 2019-01-29 11:09:51 +0000 | [diff] [blame] | 64 | modelParams.m_VisualizePostOptimizationModel = modelOptions.m_VisualizePostOptimizationModel; |
| 65 | modelParams.m_EnableFp16TurboMode = modelOptions.m_EnableFp16TurboMode; |
| 66 | |
Matteo Martincigh | 00dda4a | 2019-08-14 11:42:30 +0100 | [diff] [blame] | 67 | return std::make_unique<Model>(modelParams, |
| 68 | commonOptions.m_EnableProfiling, |
| 69 | commonOptions.m_DynamicBackendsPath); |
Aron Virginas-Tar | d089b74 | 2019-01-29 11:09:51 +0000 | [diff] [blame] | 70 | }); |
| 71 | }); |
| 72 | } |
| 73 | catch (const std::exception& e) |
| 74 | { |
| 75 | std::cerr << "WARNING: " << *argv << ": An error has occurred when running " |
| 76 | "the classifier inference tests: " << e.what() << std::endl; |
| 77 | } |
| 78 | return retVal; |
| 79 | } |