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Merge pull request #16529 from alalek:dnn_skip_failed_ngraph_tests
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commit
0a691f7840
@ -407,7 +407,9 @@ TEST_P(DNNTestNetwork, FastNeuralStyle_eccv16)
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if (backend == DNN_BACKEND_HALIDE)
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applyTestTag(CV_TEST_TAG_DNN_SKIP_HALIDE);
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if (backend == DNN_BACKEND_INFERENCE_ENGINE_NN_BUILDER_2019 && target == DNN_TARGET_MYRIAD)
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applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD);
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applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD, CV_TEST_TAG_DNN_SKIP_IE_NN_BUILDER);
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if (backend == DNN_BACKEND_INFERENCE_ENGINE_NGRAPH && target == DNN_TARGET_MYRIAD)
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applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD, CV_TEST_TAG_DNN_SKIP_IE_NGRAPH);
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#if defined(INF_ENGINE_RELEASE)
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#if INF_ENGINE_VER_MAJOR_LE(2018050000)
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@ -312,7 +312,9 @@ TEST_P(Reproducibility_MobileNet_SSD, Accuracy)
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}
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// There is something wrong with Reshape layer in Myriad plugin.
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if (backendId == DNN_BACKEND_INFERENCE_ENGINE_NN_BUILDER_2019)
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if (backendId == DNN_BACKEND_INFERENCE_ENGINE_NN_BUILDER_2019
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|| backendId == DNN_BACKEND_INFERENCE_ENGINE_NGRAPH
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)
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{
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if (targetId == DNN_TARGET_MYRIAD || targetId == DNN_TARGET_OPENCL_FP16)
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return;
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@ -644,7 +646,10 @@ TEST_P(Test_Caffe_nets, FasterRCNN_vgg16)
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if ((backend == DNN_BACKEND_INFERENCE_ENGINE_NN_BUILDER_2019 || backend == DNN_BACKEND_INFERENCE_ENGINE_NGRAPH) && (target == DNN_TARGET_OPENCL || target == DNN_TARGET_OPENCL_FP16))
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applyTestTag(target == DNN_TARGET_OPENCL ? CV_TEST_TAG_DNN_SKIP_IE_OPENCL : CV_TEST_TAG_DNN_SKIP_IE_OPENCL_FP16);
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if ((backend == DNN_BACKEND_INFERENCE_ENGINE_NN_BUILDER_2019 || backend == DNN_BACKEND_INFERENCE_ENGINE_NGRAPH) && target == DNN_TARGET_MYRIAD)
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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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if (backend == DNN_BACKEND_INFERENCE_ENGINE_NN_BUILDER_2019 && target == DNN_TARGET_MYRIAD)
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applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD);
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#endif
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@ -442,6 +442,9 @@ TEST_P(Test_Darknet_nets, YOLOv3)
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{
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applyTestTag(CV_TEST_TAG_LONG, (target == DNN_TARGET_CPU ? CV_TEST_TAG_MEMORY_1GB : CV_TEST_TAG_MEMORY_2GB));
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if (backend == DNN_BACKEND_INFERENCE_ENGINE_NGRAPH && target == DNN_TARGET_MYRIAD)
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applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD, CV_TEST_TAG_DNN_SKIP_IE_NGRAPH);
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// batchId, classId, confidence, left, top, right, bottom
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Mat ref = (Mat_<float>(9, 7) << 0, 7, 0.952983f, 0.614622f, 0.150257f, 0.901369f, 0.289251f, // a truck
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0, 1, 0.987908f, 0.150913f, 0.221933f, 0.742255f, 0.74626f, // a bicycle
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@ -499,6 +499,9 @@ TEST_P(Async, create_layer_pipeline_set_and_forward_all)
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if (backendId != DNN_BACKEND_INFERENCE_ENGINE_NN_BUILDER_2019 && backendId != DNN_BACKEND_INFERENCE_ENGINE_NGRAPH)
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throw SkipTestException("No support for async forward");
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if (backendId == DNN_BACKEND_INFERENCE_ENGINE_NGRAPH)
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applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_NGRAPH);
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if (backendId == DNN_BACKEND_INFERENCE_ENGINE_NN_BUILDER_2019)
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setInferenceEngineBackendType(CV_DNN_BACKEND_INFERENCE_ENGINE_NN_BUILDER_API);
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else if (backendId == DNN_BACKEND_INFERENCE_ENGINE_NGRAPH)
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@ -191,20 +191,58 @@ TEST_P(Test_TensorFlow_layers, concat_axis_1)
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runTensorFlowNet("concat_axis_1");
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}
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TEST_P(Test_TensorFlow_layers, batch_norm)
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TEST_P(Test_TensorFlow_layers, batch_norm_1)
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{
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runTensorFlowNet("batch_norm");
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}
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TEST_P(Test_TensorFlow_layers, batch_norm_2)
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{
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runTensorFlowNet("batch_norm", false, 0.0, 0.0, true);
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}
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TEST_P(Test_TensorFlow_layers, batch_norm_3)
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{
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runTensorFlowNet("fused_batch_norm");
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}
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TEST_P(Test_TensorFlow_layers, batch_norm_4)
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{
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runTensorFlowNet("fused_batch_norm", false, 0.0, 0.0, true);
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}
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TEST_P(Test_TensorFlow_layers, batch_norm_5)
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{
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runTensorFlowNet("batch_norm_text", true);
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}
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TEST_P(Test_TensorFlow_layers, batch_norm_6)
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{
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runTensorFlowNet("batch_norm_text", true, 0.0, 0.0, true);
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}
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TEST_P(Test_TensorFlow_layers, batch_norm_7)
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{
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runTensorFlowNet("unfused_batch_norm");
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}
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TEST_P(Test_TensorFlow_layers, batch_norm_8)
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{
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runTensorFlowNet("fused_batch_norm_no_gamma");
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}
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TEST_P(Test_TensorFlow_layers, batch_norm_9)
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{
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runTensorFlowNet("unfused_batch_norm_no_gamma");
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}
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TEST_P(Test_TensorFlow_layers, batch_norm_10)
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{
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runTensorFlowNet("mvn_batch_norm");
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}
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TEST_P(Test_TensorFlow_layers, batch_norm_11)
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{
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if (backend == DNN_BACKEND_INFERENCE_ENGINE_NGRAPH && target == DNN_TARGET_MYRIAD)
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applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD, CV_TEST_TAG_DNN_SKIP_IE_NGRAPH);
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runTensorFlowNet("mvn_batch_norm_1x1");
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}
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TEST_P(Test_TensorFlow_layers, batch_norm_12)
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{
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runTensorFlowNet("switch_identity");
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}
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TEST_P(Test_TensorFlow_layers, batch_norm_13)
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{
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runTensorFlowNet("keras_batch_norm_training");
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}
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@ -405,6 +443,8 @@ TEST_P(Test_TensorFlow_nets, MobileNet_SSD)
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CV_TEST_TAG_DNN_SKIP_IE_NGRAPH,
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CV_TEST_TAG_DNN_SKIP_IE_VERSION);
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#endif
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if (backend == DNN_BACKEND_INFERENCE_ENGINE_NGRAPH)
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applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD, CV_TEST_TAG_DNN_SKIP_IE_NGRAPH, CV_TEST_TAG_DNN_SKIP_IE_VERSION);
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}
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#endif
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@ -631,10 +671,15 @@ TEST_P(Test_TensorFlow_nets, EAST_text_detection)
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#if defined(INF_ENGINE_RELEASE)
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if (backend == DNN_BACKEND_INFERENCE_ENGINE_NN_BUILDER_2019 && target == DNN_TARGET_MYRIAD)
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applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD, CV_TEST_TAG_DNN_SKIP_IE_NN_BUILDER);
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if (backend == DNN_BACKEND_INFERENCE_ENGINE_NGRAPH && target == DNN_TARGET_MYRIAD)
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applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD, CV_TEST_TAG_DNN_SKIP_IE_NGRAPH);
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if (backend == DNN_BACKEND_INFERENCE_ENGINE_NN_BUILDER_2019 && target == DNN_TARGET_OPENCL_FP16 &&
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INF_ENGINE_VER_MAJOR_EQ(2019020000))
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(INF_ENGINE_VER_MAJOR_EQ(2019020000) || INF_ENGINE_VER_MAJOR_GE(2020010000))
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)
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applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_OPENCL_FP16, CV_TEST_TAG_DNN_SKIP_IE_NN_BUILDER, CV_TEST_TAG_DNN_SKIP_IE_VERSION);
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if (backend == DNN_BACKEND_INFERENCE_ENGINE_NGRAPH && target == DNN_TARGET_OPENCL_FP16)
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applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_OPENCL_FP16, CV_TEST_TAG_DNN_SKIP_IE_NGRAPH, CV_TEST_TAG_DNN_SKIP_IE_VERSION);
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#endif
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checkBackend();
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@ -201,9 +201,14 @@ TEST_P(Test_Torch_layers, net_logsoftmax)
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runTorchNet("net_logsoftmax_spatial");
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}
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TEST_P(Test_Torch_layers, net_lp_pooling)
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TEST_P(Test_Torch_layers, net_lp_pooling_square)
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{
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runTorchNet("net_lp_pooling_square", "", false, true);
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}
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TEST_P(Test_Torch_layers, net_lp_pooling_power)
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{
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if (backend == DNN_BACKEND_INFERENCE_ENGINE_NGRAPH && target == DNN_TARGET_MYRIAD)
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applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD, CV_TEST_TAG_DNN_SKIP_IE_NGRAPH);
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runTorchNet("net_lp_pooling_power", "", false, true);
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}
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@ -343,6 +348,10 @@ TEST_P(Test_Torch_nets, ENet_accuracy)
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checkBackend();
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if (backend == DNN_BACKEND_OPENCV && target == DNN_TARGET_OPENCL_FP16)
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throw SkipTestException("");
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#if defined(INF_ENGINE_RELEASE) && INF_ENGINE_VER_MAJOR_EQ(2020010000)
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if (backend == DNN_BACKEND_INFERENCE_ENGINE_NN_BUILDER_2019)
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applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_NN_BUILDER, CV_TEST_TAG_DNN_SKIP_IE_VERSION);
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#else
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if (backend == DNN_BACKEND_INFERENCE_ENGINE_NN_BUILDER_2019 && target != DNN_TARGET_CPU)
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{
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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_NN_BUILDER);
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@ -350,12 +359,10 @@ TEST_P(Test_Torch_nets, ENet_accuracy)
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if (target == DNN_TARGET_MYRIAD) applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD, CV_TEST_TAG_DNN_SKIP_IE_NN_BUILDER);
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throw SkipTestException("");
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}
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if (backend == DNN_BACKEND_INFERENCE_ENGINE_NGRAPH && target != DNN_TARGET_CPU)
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#endif
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if (backend == DNN_BACKEND_INFERENCE_ENGINE_NGRAPH)
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{
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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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if (target == DNN_TARGET_MYRIAD) applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_MYRIAD, CV_TEST_TAG_DNN_SKIP_IE_NGRAPH);
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throw SkipTestException("");
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applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_NGRAPH);
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}
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Net net;
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