1 files changed, 0 insertions, 78 deletions
diff --git a/tests/TfMobileNet-Armnn/TfMobileNet-Armnn.cpp b/tests/TfMobileNet-Armnn/TfMobileNet-Armnn.cpp
deleted file mode 100644
index 6748b12d9d..0000000000
--- a/tests/TfMobileNet-Armnn/TfMobileNet-Armnn.cpp
+++ /dev/null
@@ -1,78 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-#include "../InferenceTest.hpp"
-#include "../ImagePreprocessor.hpp"
-#include "armnnTfParser/ITfParser.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", 209},
-            // Top five predictions in tensorflow:
-            // -----------------------------------
-            // 209:Labrador retriever 0.46392533
-            // 160:Rhodesian ridgeback 0.29911423
-            // 208:golden retriever 0.108059585
-            // 169:redbone 0.033753652
-            // 274:dingo, warrigal, warragal, ... 0.01232666
-
-            {"Cat.jpg", 283},
-            // Top five predictions in tensorflow:
-            // -----------------------------------
-            // 283:tiger cat 0.6508582
-            // 286:Egyptian cat 0.2604343
-            // 282:tabby, tabby cat 0.028786005
-            // 288:lynx, catamount 0.020673484
-            // 40:common iguana, iguana, ... 0.0080499435
-
-            {"shark.jpg", 3},
-            // Top five predictions in tensorflow:
-            // -----------------------------------
-            // 3:great white shark, white shark, ... 0.96672016
-            // 4:tiger shark, Galeocerdo cuvieri 0.028302953
-            // 149:killer whale, killer, orca, ... 0.0020228163
-            // 5:hammerhead, hammerhead shark 0.0017547971
-            // 150:dugong, Dugong dugon 0.0003968083
-        };
-
-        armnn::TensorShape inputTensorShape({ 1, 224, 224, 3  });
-
-        using DataType = float;
-        using DatabaseType = ImagePreprocessor<float>;
-        using ParserType = armnnTfParser::ITfParser;
-        using ModelType = InferenceModel<ParserType, DataType>;
-
-        // Coverity fix: ClassifierInferenceTestMain() may throw uncaught exceptions.
-        retVal = armnn::test::ClassifierInferenceTestMain<DatabaseType, ParserType>(
-                     argc, argv,
-                     "mobilenet_v1_1.0_224_frozen.pb",              // model name
-                     true,                                          // model is binary
-                     "input", "MobilenetV1/Predictions/Reshape_1",  // input and output tensor names
-                     { 0, 1, 2 },                                   // test images to test with as above
-                     [&imageSet](const char* dataDir, const ModelType&) {
-                         // This creates a 224x224x3 NHWC float tensor to pass to Armnn
-                         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: TfMobileNet-Armnn: An error has occurred when running "
-                     "the classifier inference tests: " << e.what() << std::endl;
-    }
-    return retVal;
-}