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Merge pull request #22957 from dkurt:new_openvino_api

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Switch to new OpenVINO API after 2022.1 release

* Pass Layer_Test_Convolution_DLDT.Accuracy/0 test

* Pass test Test_Caffe_layers.Softmax

* Failed 136 tests

* Fix Concat. Failed 120 tests

* Custom nGraph ops. 19 failed tests

* Set and get properties from Core

* Read model from buffer

* Change MaxPooling layer output names. Restore reshape

* Cosmetic changes

* Cosmetic changes

* Override getOutputsInfo

* Fixes for OpenVINO < 2022.1

* Async inference for 2021.4 and less

* Compile model with config

* Fix serialize for 2022.1

* Asynchronous inference with 2022.1

* Handle 1d outputs

* Work with model with dynamic output shape

* Fixes with 1d output for old API

* Control outputs by nGraph function for all OpenVINO versions

* Refer inputs in PrePostProcessor by indices

* Fix cycled dependency between InfEngineNgraphNode and InfEngineNgraphNet.
Add InferRequest callback only for async inference. Do not capture InferRequest object.

* Fix tests thresholds

* Fix HETERO:GPU,CPU plugin issues with unsupported layer
This commit is contained in:
Dmitry Kurtaev
2022-12-23 19:58:41 +03:00
committed by GitHub
parent 9012e6dd9b
commit 8681686d8f
14 changed files with 571 additions and 205 deletions
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modules/dnn/test/test_layers.cpp
+1 -1
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@@ -1292,7 +1292,7 @@ TEST_P(Layer_Test_Convolution_DLDT, Accuracy)
if (backendId == DNN_BACKEND_INFERENCE_ENGINE_NN_BUILDER_2019)
ASSERT_EQ(net.getLayer(outLayers[0])->type, "Convolution");
else
ASSERT_EQ(net.getLayer(outLayers[0])->type, "Add");
ASSERT_EQ(net.getLayer(outLayers[0])->type, "Result");
}
TEST_P(Layer_Test_Convolution_DLDT, setInput_uint8)