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Merge pull request #13774 from l-bat:fix-IE-tests
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9d3d5e9d65
@ -124,8 +124,7 @@ PERF_TEST_P_(DNNTestNetwork, SSD)
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PERF_TEST_P_(DNNTestNetwork, OpenFace)
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{
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if (backend == DNN_BACKEND_HALIDE ||
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(backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_OPENCL_FP16) ||
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(backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_MYRIAD))
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(backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_MYRIAD))
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throw SkipTestException("");
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processNet("dnn/openface_nn4.small2.v1.t7", "", "",
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Mat(cv::Size(96, 96), CV_32FC3));
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@ -92,7 +92,7 @@ public:
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{
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return backendId == DNN_BACKEND_OPENCV ||
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backendId == DNN_BACKEND_HALIDE ||
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(backendId == DNN_BACKEND_INFERENCE_ENGINE && (preferableTarget != DNN_TARGET_MYRIAD || type == CHANNEL_NRM));
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backendId == DNN_BACKEND_INFERENCE_ENGINE;
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}
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#ifdef HAVE_OPENCL
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@ -67,14 +67,10 @@ public:
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{
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if (pnorm != 2)
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return false;
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if (!blobs.empty())
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return true;
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if (preferableTarget == DNN_TARGET_MYRIAD)
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return !acrossSpatial;
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return startAxis == 1 && (!acrossSpatial || endAxis > 1);
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return preferableTarget == DNN_TARGET_MYRIAD ? !acrossSpatial : startAxis == 1;
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}
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else
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return backendId == DNN_BACKEND_OPENCV;
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return backendId == DNN_BACKEND_OPENCV;
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}
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bool getMemoryShapes(const std::vector<MatShape> &inputs,
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@ -54,12 +54,11 @@ public:
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#ifdef HAVE_INF_ENGINE
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if (backendId == DNN_BACKEND_INFERENCE_ENGINE)
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{
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return (interpolation == "nearest" && preferableTarget != DNN_TARGET_MYRIAD) ||
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return (interpolation == "nearest" && scaleWidth == scaleHeight) ||
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(interpolation == "bilinear" && INF_ENGINE_VER_MAJOR_GE(INF_ENGINE_RELEASE_2018R4));
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}
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else
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#endif
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return backendId == DNN_BACKEND_OPENCV;
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return backendId == DNN_BACKEND_OPENCV;
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}
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virtual void finalize(InputArrayOfArrays inputs_arr, OutputArrayOfArrays outputs_arr) CV_OVERRIDE
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@ -558,8 +558,6 @@ TEST_P(Test_TensorFlow_layers, split)
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TEST_P(Test_TensorFlow_layers, resize_nearest_neighbor)
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{
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if (backend == DNN_BACKEND_INFERENCE_ENGINE && target != DNN_TARGET_MYRIAD)
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throw SkipTestException("");
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runTensorFlowNet("resize_nearest_neighbor");
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runTensorFlowNet("keras_upsampling2d");
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}
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@ -277,8 +277,6 @@ TEST_P(Test_Torch_nets, OpenFace_accuracy)
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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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throw SkipTestException("");
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const string model = findDataFile("dnn/openface_nn4.small2.v1.t7", false);
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Net net = readNetFromTorch(model);
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