1 files changed, 0 insertions, 58 deletions
diff --git a/tests/CaffeYolo-Armnn/CaffeYolo-Armnn.cpp b/tests/CaffeYolo-Armnn/CaffeYolo-Armnn.cpp
deleted file mode 100644
index d563faaab2..0000000000
--- a/tests/CaffeYolo-Armnn/CaffeYolo-Armnn.cpp
+++ /dev/null
@@ -1,58 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-#include "../YoloInferenceTest.hpp"
-#include "armnnCaffeParser/ICaffeParser.hpp"
-#include "armnn/TypesUtils.hpp"
-
-int main(int argc, char* argv[])
-{
-    armnn::TensorShape inputTensorShape{ { 1, 3, YoloImageHeight, YoloImageWidth } };
-
-    using YoloInferenceModel = InferenceModel<armnnCaffeParser::ICaffeParser,
-        float>;
-
-    int retVal = EXIT_FAILURE;
-    try
-    {
-        // Coverity fix: InferenceTestMain() may throw uncaught exceptions.
-        retVal = InferenceTestMain(argc, argv, { 0 },
-            [&inputTensorShape]()
-            {
-                return make_unique<YoloTestCaseProvider<YoloInferenceModel>>(
-                    [&]
-                    (const InferenceTestOptions &commonOptions,
-                     typename YoloInferenceModel::CommandLineOptions modelOptions)
-                    {
-                        if (!ValidateDirectory(modelOptions.m_ModelDir))
-                        {
-                            return std::unique_ptr<YoloInferenceModel>();
-                        }
-
-                        typename YoloInferenceModel::Params modelParams;
-                        modelParams.m_ModelPath = modelOptions.m_ModelDir + "yolov1_tiny_voc2007_model.caffemodel";
-                        modelParams.m_InputBindings = { "data" };
-                        modelParams.m_OutputBindings = { "fc12" };
-                        modelParams.m_InputShapes = { inputTensorShape };
-                        modelParams.m_IsModelBinary = true;
-                        modelParams.m_ComputeDevices = modelOptions.GetComputeDevicesAsBackendIds();
-                        modelParams.m_VisualizePostOptimizationModel = modelOptions.m_VisualizePostOptimizationModel;
-                        modelParams.m_EnableFp16TurboMode = modelOptions.m_EnableFp16TurboMode;
-
-                        return std::make_unique<YoloInferenceModel>(modelParams,
-                                                                    commonOptions.m_EnableProfiling,
-                                                                    commonOptions.m_DynamicBackendsPath);
-                });
-            });
-    }
-    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: CaffeYolo-Armnn: An error has occurred when running "
-                     "the classifier inference tests: " << e.what() << std::endl;
-    }
-    return retVal;
-}