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Fix dnn tests for Inference Engine R5
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@@ -266,9 +266,9 @@ class Test_Torch_nets : public DNNTestLayer {};
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TEST_P(Test_Torch_nets, OpenFace_accuracy)
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{
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#if defined(INF_ENGINE_RELEASE) && INF_ENGINE_RELEASE < 2018030000
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#if defined(INF_ENGINE_RELEASE) && (INF_ENGINE_RELEASE < 2018030000 || INF_ENGINE_RELEASE == 2018050000)
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if (backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_MYRIAD)
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throw SkipTestException("Test is enabled starts from OpenVINO 2018R3");
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throw SkipTestException("");
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#endif
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checkBackend();
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if (backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_OPENCL_FP16)
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@@ -389,6 +389,10 @@ TEST_P(Test_Torch_nets, ENet_accuracy)
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// -model models/instance_norm/feathers.t7
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TEST_P(Test_Torch_nets, FastNeuralStyle_accuracy)
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{
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#if defined(INF_ENGINE_RELEASE) && INF_ENGINE_RELEASE == 2018050000
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if (backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_MYRIAD)
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throw SkipTestException("");
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#endif
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checkBackend();
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std::string models[] = {"dnn/fast_neural_style_eccv16_starry_night.t7",
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"dnn/fast_neural_style_instance_norm_feathers.t7"};
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