1 files changed, 0 insertions, 70 deletions
diff --git a/tests/TfInceptionV3-Armnn/TfInceptionV3-Armnn.cpp b/tests/TfInceptionV3-Armnn/TfInceptionV3-Armnn.cpp
deleted file mode 100644
index 7208872204..0000000000
--- a/tests/TfInceptionV3-Armnn/TfInceptionV3-Armnn.cpp
+++ /dev/null
@@ -1,70 +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", 208 },
-            // Top five predictions in tensorflow:
-            // -----------------------------------
-            // 208:golden retriever 0.57466376
-            // 209:Labrador retriever 0.30202731
-            // 853:tennis ball 0.0060001756
-            // 223:kuvasz 0.0053707925
-            // 160:Rhodesian ridgeback 0.0018179063
-
-            { "Cat.jpg", 283 },
-            // Top five predictions in tensorflow:
-            // -----------------------------------
-            // 283:tiger cat 0.4667799
-            // 282:tabby, tabby cat 0.32511184
-            // 286:Egyptian cat 0.1038616
-            // 288:lynx, catamount 0.0017019814
-            // 284:Persian cat 0.0011340436
-
-            { "shark.jpg", 3 },
-            // Top five predictions in tensorflow:
-            // -----------------------------------
-            // 3:great white shark, white shark, ... 0.98808634
-            // 148:grey whale, gray whale, ... 0.00070245547
-            // 234:Bouvier des Flandres, ... 0.00024639888
-            // 149:killer whale, killer, ... 0.00014115588
-            // 95:hummingbird 0.00011129203
-        };
-
-        armnn::TensorShape inputTensorShape({ 1, 299, 299, 3 });
-
-        using DataType = float;
-        using DatabaseType = ImagePreprocessor<float>;
-        using ParserType = armnnTfParser::ITfParser;
-        using ModelType = InferenceModel<ParserType, DataType>;
-
-        // Coverity fix: InferenceTestMain() may throw uncaught exceptions.
-        retVal = armnn::test::ClassifierInferenceTestMain<DatabaseType, ParserType>(
-                    argc, argv, "inception_v3_2016_08_28_frozen.pb", true,
-                    "input", "InceptionV3/Predictions/Reshape_1", { 0, 1, 2, },
-                    [&imageSet](const char* dataDir, const ModelType&) {
-                        return DatabaseType(dataDir, 299, 299, 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: TfInceptionV3-Armnn: An error has occurred when running "
-                     "the classifier inference tests: " << e.what() << std::endl;
-    }
-    return retVal;
-}