Added TfLiteParser test for MnasNet

Change-Id: Ie31eee48cc14ada37526130998da7a482d56b1ea

2 files changed, 64 insertions, 0 deletions

diff --git a/tests/CMakeLists.txt b/tests/CMakeLists.txt
index de40137af7..1fc89da016 100644
--- a/tests/CMakeLists.txt
+++ b/tests/CMakeLists.txt
@@ -200,6 +200,12 @@ if (BUILD_TF_LITE_PARSER)
         ImagePreprocessor.hpp
         ImagePreprocessor.cpp)
     TfLiteParserTest(TfLiteResNetV2-Armnn "${TfLiteResNetV2-Armnn_sources}")
+
+    set(TfLiteMnasNet-Armnn_sources
+        TfLiteMnasNet-Armnn/TfLiteMnasNet-Armnn.cpp
+        ImagePreprocessor.hpp
+        ImagePreprocessor.cpp)
+    TfLiteParserTest(TfLiteMnasNet-Armnn "${TfLiteMnasNet-Armnn_sources}")
 endif()
 
 if (BUILD_ONNX_PARSER)
diff --git a/tests/TfLiteMnasNet-Armnn/TfLiteMnasNet-Armnn.cpp b/tests/TfLiteMnasNet-Armnn/TfLiteMnasNet-Armnn.cpp
new file mode 100644
index 0000000000..c676cd7355
--- /dev/null
+++ b/tests/TfLiteMnasNet-Armnn/TfLiteMnasNet-Armnn.cpp
@@ -0,0 +1,58 @@
+//
+// 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({ 2, 224, 224, 3 });
+
+        using DataType = float;
+        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,
+                     "mnasnet_1.3_224.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) {
+                         return DatabaseType(
+                             dataDir,
+                             224,
+                             224,
+                             imageSet);
+                     },
+                     &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;
+}