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Relax test requirements for OpenCL in test DNNTestNetwork.FastNeuralStyle_eccv16.
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@ -456,7 +456,7 @@ TEST_P(DNNTestNetwork, FastNeuralStyle_eccv16)
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Mat inp = blobFromImage(img, 1.0, Size(224, 224), Scalar(0.0, 0.0, 0.0), true, false);
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Mat inp = blobFromImage(img, 1.0, Size(224, 224), Scalar(0.0, 0.0, 0.0), true, false);
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// Output image has values in range [0.0, 255.0].
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// Output image has values in range [0.0, 255.0].
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float l1 = 5e-4, lInf = 1e-2;
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float l1 = 5e-4, lInf = 1e-2;
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if (target == DNN_TARGET_OPENCL_FP16 || target == DNN_TARGET_MYRIAD)
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if (target == DNN_TARGET_MYRIAD)
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{
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{
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l1 = 0.4;
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l1 = 0.4;
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lInf = 7.46;
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lInf = 7.46;
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@ -481,6 +481,15 @@ TEST_P(DNNTestNetwork, FastNeuralStyle_eccv16)
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l1 = 0.4;
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l1 = 0.4;
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lInf = 7.46;
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lInf = 7.46;
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}
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}
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else if (backend == DNN_BACKEND_OPENCV && target == DNN_TARGET_OPENCL)
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{
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l1 = 5.5e-4;
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}
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else if (backend == DNN_BACKEND_OPENCV && target == DNN_TARGET_OPENCL_FP16)
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{
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l1 = 0.86;
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lInf = 16;
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}
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#if defined(INF_ENGINE_RELEASE) && INF_ENGINE_VER_MAJOR_EQ(2022010000)
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#if defined(INF_ENGINE_RELEASE) && INF_ENGINE_VER_MAJOR_EQ(2022010000)
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if (backend == DNN_BACKEND_INFERENCE_ENGINE_NGRAPH && target == DNN_TARGET_OPENCL)
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if (backend == DNN_BACKEND_INFERENCE_ENGINE_NGRAPH && target == DNN_TARGET_OPENCL)
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