From d089b74bebbcc8518fb0f4eacb7e6569ae170199 Mon Sep 17 00:00:00 2001
From: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Date: Tue, 29 Jan 2019 11:09:51 +0000
Subject: IVGCVSW-2437 Inference test for TensorFlow Lite MobileNet SSD

Change-Id: If7ee1efa3ee79d9eca41c5a6219b3fc42e740efe
---
 .../TfLiteMobileNetSsd-Armnn.cpp                   | 76 ++++++++++++++++++++++
 1 file changed, 76 insertions(+)
 create mode 100644 tests/TfLiteMobileNetSsd-Armnn/TfLiteMobileNetSsd-Armnn.cpp

(limited to 'tests/TfLiteMobileNetSsd-Armnn/TfLiteMobileNetSsd-Armnn.cpp')

diff --git a/tests/TfLiteMobileNetSsd-Armnn/TfLiteMobileNetSsd-Armnn.cpp b/tests/TfLiteMobileNetSsd-Armnn/TfLiteMobileNetSsd-Armnn.cpp
new file mode 100644
index 0000000000..b1bc0f6120
--- /dev/null
+++ b/tests/TfLiteMobileNetSsd-Armnn/TfLiteMobileNetSsd-Armnn.cpp
@@ -0,0 +1,76 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+#include "../MobileNetSsdInferenceTest.hpp"
+
+#include "armnnTfLiteParser/ITfLiteParser.hpp"
+
+#include <algorithm>
+#include <iterator>
+
+using namespace armnnTfLiteParser;
+
+int main(int argc, char* argv[])
+{
+    int retVal = EXIT_FAILURE;
+    try
+    {
+        using DataType = float;
+        using Parser   = armnnTfLiteParser::ITfLiteParser;
+        using Model    = InferenceModel<Parser, DataType>;
+
+        armnn::TensorShape inputTensorShape({ 1, 300, 300, 3  });
+
+        std::vector<const char*> inputLayerNames  =
+        {
+            "normalized_input_image_tensor"
+        };
+
+        std::vector<const char*> outputLayerNames =
+        {
+            "TFLite_Detection_PostProcess",
+            "TFLite_Detection_PostProcess:1",
+            "TFLite_Detection_PostProcess:2",
+            "TFLite_Detection_PostProcess:3"
+        };
+
+        retVal = InferenceTestMain(argc, argv, { 0 },
+            [&inputTensorShape, inputLayerNames, outputLayerNames]()
+            {
+                return make_unique<MobileNetSsdTestCaseProvider<Model>>(
+                    [&]
+                    (typename Model::CommandLineOptions modelOptions)
+                    {
+                        if (!ValidateDirectory(modelOptions.m_ModelDir))
+                        {
+                            return std::unique_ptr<Model>();
+                        }
+
+                        typename Model::Params modelParams;
+                        modelParams.m_ModelPath =
+                            modelOptions.m_ModelDir + "ssd_mobilenet_v1.tflite";
+
+                        std::copy(inputLayerNames.begin(), inputLayerNames.end(),
+                                  std::back_inserter(modelParams.m_InputBindings));
+
+                        std::copy(outputLayerNames.begin(), outputLayerNames.end(),
+                                  std::back_inserter(modelParams.m_OutputBindings));
+
+                        modelParams.m_InputShapes                    = { inputTensorShape };
+                        modelParams.m_IsModelBinary                  = true;
+                        modelParams.m_ComputeDevice                  = modelOptions.m_ComputeDevice;
+                        modelParams.m_VisualizePostOptimizationModel = modelOptions.m_VisualizePostOptimizationModel;
+                        modelParams.m_EnableFp16TurboMode            = modelOptions.m_EnableFp16TurboMode;
+
+                        return std::make_unique<Model>(modelParams);
+                });
+            });
+    }
+    catch (const std::exception& e)
+    {
+        std::cerr << "WARNING: " << *argv << ": An error has occurred when running "
+                     "the classifier inference tests: " << e.what() << std::endl;
+    }
+    return retVal;
+}
-- 
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