Added TfLiteParser test for MobilenetV2Quantized

Change-Id: I0896c5f74d4e432a2ea8eff3cbe2db0702aa9ed9

2 files changed, 69 insertions, 0 deletions

diff --git a/tests/CMakeLists.txt b/tests/CMakeLists.txt
index e8f72eb4ee..90fd5ec783 100644
--- a/tests/CMakeLists.txt
+++ b/tests/CMakeLists.txt
@@ -171,6 +171,12 @@ if (BUILD_TF_LITE_PARSER)
         ObjectDetectionCommon.hpp)
     TfLiteParserTest(TfLiteMobileNetSsd-Armnn "${TfLiteMobileNetSsd-Armnn_sources}")
 
+    set(TfLiteMobilenetV2Quantized-Armnn_sources
+        TfLiteMobilenetV2Quantized-Armnn/TfLiteMobilenetV2Quantized-Armnn.cpp
+        ImagePreprocessor.hpp
+        ImagePreprocessor.cpp)
+    TfLiteParserTest(TfLiteMobilenetV2Quantized-Armnn "${TfLiteMobilenetV2Quantized-Armnn_sources}")
+
     set(TfLiteVGG16Quantized-Armnn_sources
         TfLiteVGG16Quantized-Armnn/TfLiteVGG16Quantized-Armnn.cpp
         ImagePreprocessor.hpp
diff --git a/tests/TfLiteMobilenetV2Quantized-Armnn/TfLiteMobilenetV2Quantized-Armnn.cpp b/tests/TfLiteMobilenetV2Quantized-Armnn/TfLiteMobilenetV2Quantized-Armnn.cpp
new file mode 100644
index 0000000000..5db5c243b1
--- /dev/null
+++ b/tests/TfLiteMobilenetV2Quantized-Armnn/TfLiteMobilenetV2Quantized-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
+    {
+        // Coverity fix: The following code may throw an exception of type std::length_error.
+        std::vector<ImageSet> imageSet =
+        {
+            {"Dog.jpg", 209},
+            {"Cat.jpg", 283},
+            {"shark.jpg", 3},
+        };
+
+        armnn::TensorShape inputTensorShape({ 1, 224, 224, 3  });
+
+        using DataType = uint8_t;
+        using DatabaseType = ImagePreprocessor<DataType>;
+        using ParserType = armnnTfLiteParser::ITfLiteParser;
+        using ModelType = InferenceModel<ParserType, DataType>;
+
+        // Coverity fix: ClassifierInferenceTestMain() may throw uncaught exceptions.
+        retVal = armnn::test::ClassifierInferenceTestMain<DatabaseType,
+                                                          ParserType>(
+                     argc, argv,
+                     "mobilenet_v2_1.0_224_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,
+                             224,
+                             224,
+                             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;
+}