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alalek
reviewed
Sep 18, 2019
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| if(WITH_INF_ENGINE OR INF_ENGINE_TARGET) | ||
| if(INF_ENGINE_TARGET) | ||
| list(GET INF_ENGINE_TARGET 0 ie_target) |
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Why is these changes here? They should be on the 3.4 branch already: #15376
Please rebase patch.
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dkurt
reviewed
Nov 6, 2019
dkurt
reviewed
Nov 6, 2019
dkurt
reviewed
Nov 6, 2019
dkurt
reviewed
Nov 24, 2019
alalek
reviewed
Nov 27, 2019
alalek
reviewed
Nov 27, 2019
| #ifdef HAVE_DNN_NGRAPH | ||
| return initNgraph(nodes); | ||
| #endif // HAVE_DNN_NGRAPH | ||
| InferenceEngine::Builder::Layer ieLayer = InferenceEngine::Builder::ScaleShiftLayer(name); |
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How this can work without runtime check?
Please run tests locally.
alalek
reviewed
Nov 28, 2019
alalek
reviewed
Nov 28, 2019
| InferenceEngine::CNNNetwork ieNet = reader.getNetwork(); | ||
| #else | ||
| InferenceEngine::Core& ie = getCore(); | ||
| InferenceEngine::CNNNetwork ieNet = ie.ReadNetwork(xml, bin); |
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We can, but CNNNetReader is almost deprecated.
alalek
reviewed
Nov 28, 2019
modules/dnn/src/ie_ngraph.cpp
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| if (cnn.getPrecision() != InferenceEngine::Precision::FP16 && targetId == DNN_TARGET_MYRIAD) | ||
| resetMyriadDevice(); |
alalek
reviewed
Nov 28, 2019
| if (!equal_flag) | ||
| { | ||
| InferenceEngine::CNNNetwork curr_t_net(t_net); | ||
| curr_t_net.reshape(inShapes); |
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Why is ".get()" method with "const" logical modifier doing some network reshaping?
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It looks like a workaround introduced at #13608 to dynamically reshape networks from OpenVINO's IRs in case of different input shape.
dkurt
reviewed
Nov 29, 2019
dkurt
reviewed
Nov 30, 2019
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Support new Inference Engine API.
Problem layers:
Failed nets:
⁉️ Test_Torch_nets.FastNeuralStyle_accuracy (DLDT)
✔️ DNNTestNetwork.MobileNet_SSD_Caffe_Different_Width_Height (bad norm)
✔️ DNNTestNetwork.OpenFace (bad norm) support Power
✔️ Test_Caffe_nets.FasterRCNN_zf (Proposal bug)
✔️ Test_TensorFlow_nets.opencv_face_detector_uint8 (blob not found) -> bad norm
✔️ Test_TensorFlow_nets.EAST_text_detection (maxpool incorrect shape + incorrect net) -> bad norm (support Power)
🔻 Test_Torch_nets.ENet_accuracy (bad norm)
✔️ Test_Torch_nets.OpenFace_accuracy (bad norm) support Power
❌ TEST_P(Test_Darknet_nets_async, Accuracy) (layer = nullptr sigseg Region doesn't supported)
After fuse:
✔️ Test_ONNX_nets.DenseNet121 (blob not found)
✔️ Test_Darknet_nets.YOLOv3 ( bad norm - DLDT)
✔️ Deconv3D fixed #15572
✔️ Eltwise with coeffs
✔️ Pooling (default ceil TF)
✔️ Scale (BatchNorm)
Link with IE nGraph:
🔻 Test_Caffe_nets.FasterRCNN_vgg16
✔️ Test_TensorFlow_nets.Faster_RCNN (topK DetectionOutput)