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Enable OpenVINO max pooling with indices since 2022.1
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@ -209,7 +209,8 @@ public:
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#ifdef HAVE_INF_ENGINE
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if (backendId == DNN_BACKEND_INFERENCE_ENGINE_NGRAPH)
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{
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return type != STOCHASTIC && kernel_size.size() > 1 && (kernel_size.size() != 3 || !isArmComputePlugin());
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return type != STOCHASTIC && kernel_size.size() > 1 && (kernel_size.size() != 3 || !isArmComputePlugin()) &&
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(!computeMaxIdx || INF_ENGINE_VER_MAJOR_GE(INF_ENGINE_RELEASE_2022_1));
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}
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#endif
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if (backendId == DNN_BACKEND_OPENCV)
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@ -615,10 +616,14 @@ public:
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else if (type == MAX) {
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std::shared_ptr<ngraph::Node> max_pool;
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if (computeMaxIdx) {
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#if INF_ENGINE_VER_MAJOR_GE(INF_ENGINE_RELEASE_2022_1)
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std::vector<size_t> dilations(kernel_size.size(), 1);
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max_pool = std::make_shared<ngraph::op::v8::MaxPool>(ieInpNode, ngraph::Strides(strides), ngraph::Strides(dilations),
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ngraph::Shape(pads_begin), ngraph::Shape(pads_end), ngraph::Shape(kernel_size),
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rounding_type, pad_type);
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#else
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CV_Error(Error::StsNotImplemented, "OpenVINO MaxPool with indices");
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#endif
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} else {
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max_pool = std::make_shared<ngraph::op::v1::MaxPool>(ieInpNode, ngraph::Strides(strides),
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ngraph::Shape(pads_begin), ngraph::Shape(pads_end), ngraph::Shape(kernel_size),
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@ -128,6 +128,11 @@ TEST_P(Test_TFLite, max_unpooling)
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if (backend == DNN_BACKEND_CUDA)
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applyTestTag(CV_TEST_TAG_DNN_SKIP_CUDA);
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#if defined(INF_ENGINE_RELEASE) && INF_ENGINE_VER_MAJOR_LT(2022010000)
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if (backend == DNN_BACKEND_INFERENCE_ENGINE_NGRAPH)
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applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_NGRAPH, CV_TEST_TAG_DNN_SKIP_IE_VERSION);
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#endif
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if (backend == DNN_BACKEND_INFERENCE_ENGINE_NGRAPH && target != DNN_TARGET_CPU) {
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if (target == DNN_TARGET_OPENCL_FP16) applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_OPENCL_FP16, CV_TEST_TAG_DNN_SKIP_IE_NGRAPH);
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if (target == DNN_TARGET_OPENCL) applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_OPENCL, CV_TEST_TAG_DNN_SKIP_IE_NGRAPH);
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