From c577f2c6a3b4ddb6ba87a882723c53a248afbeba Mon Sep 17 00:00:00 2001
From: telsoa01 <telmo.soares@arm.com>
Date: Fri, 31 Aug 2018 09:22:23 +0100
Subject: Release 18.08

---
 tests/OnnxMobileNet-Armnn/OnnxMobileNet-Armnn.cpp | 60 +++++++++++++++++++++++
 1 file changed, 60 insertions(+)
 create mode 100644 tests/OnnxMobileNet-Armnn/OnnxMobileNet-Armnn.cpp

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

diff --git a/tests/OnnxMobileNet-Armnn/OnnxMobileNet-Armnn.cpp b/tests/OnnxMobileNet-Armnn/OnnxMobileNet-Armnn.cpp
new file mode 100644
index 0000000000..0d2d937469
--- /dev/null
+++ b/tests/OnnxMobileNet-Armnn/OnnxMobileNet-Armnn.cpp
@@ -0,0 +1,60 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// See LICENSE file in the project root for full license information.
+//
+#include "../InferenceTest.hpp"
+#include "../ImagePreprocessor.hpp"
+#include "armnnOnnxParser/IOnnxParser.hpp"
+
+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", 208},
+            {"Cat.jpg", 281},
+            {"shark.jpg", 2},
+        };
+
+        armnn::TensorShape inputTensorShape({ 1, 3, 224, 224 });
+
+        using DataType = float;
+        using DatabaseType = ImagePreprocessor<float>;
+        using ParserType = armnnOnnxParser::IOnnxParser;
+        using ModelType = InferenceModel<ParserType, DataType>;
+
+        // Coverity fix: ClassifierInferenceTestMain() may throw uncaught exceptions.
+        retVal = armnn::test::ClassifierInferenceTestMain<DatabaseType, ParserType>(
+                     argc, argv,
+                     "mobilenetv2-1.0.onnx", // model name
+                     true,                           // model is binary
+                     "data", "mobilenetv20_output_flatten0_reshape0", // input and output tensor names
+                     { 0, 1, 2 },                    // test images to test with as above
+                     [&imageSet](const char* dataDir, const ModelType&) {
+                         // This creates create a 1, 3, 224, 224 normalized input with mean and stddev to pass to Armnn
+                         return DatabaseType(
+                             dataDir,
+                             224,
+                             224,
+                             imageSet,
+                             1.0,                             // scale
+                             0,                               // offset
+                             {{0.485f, 0.456f, 0.406f}},      // mean
+                             {{0.229f, 0.224f, 0.225f}},      // stddev
+                             DatabaseType::DataFormat::NCHW); // format
+                     },
+                     &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: OnnxMobileNet-Armnn: An error has occurred when running "
+                     "the classifier inference tests: " << e.what() << std::endl;
+    }
+    return retVal;
+}
-- 
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