Merge upstreream/master

.github/workflows/code_style.yml

@@ -31,10 +31,37 @@ jobs:
         if: failure()
         run: |
           ngraph/maint/apply-code-format.sh
-          git diff >code_style_diff.patch
+          git diff >ngraph_code_style_diff.patch
 
       - uses: actions/upload-artifact@v2
         if: failure()
         with:
-          name: code_style_diff
-          path: code_style_diff.patch
+          name: ngraph_code_style_diff
+          path: ngraph_code_style_diff.patch
+
+  Java:
+    runs-on: ubuntu-18.04
+    steps:
+      - uses: actions/checkout@v2
+      - uses: actions/setup-java@v1
+        with:
+          java-version: '11'
+
+      - name: Install dependencies
+        run: |
+          wget -nc https://github.com/google/google-java-format/releases/download/google-java-format-1.9/google-java-format-1.9-all-deps.jar
+
+      - name: Check code style
+        run: |
+          java -jar google-java-format-1.9-all-deps.jar --set-exit-if-changed -a -i $(find . -type f -name "*.java")
+
+      - name: Create code style diff
+        if: failure()
+        run: |
+          git diff >java_code_style_diff.patch
+
+      - uses: actions/upload-artifact@v2
+        if: failure()
+        with:
+          name: java_code_style_diff
+          path: java_code_style_diff.patch

CODEOWNERS

@@ -13,6 +13,9 @@ azure-pipelines.yml  @openvinotoolkit/openvino-admins
 # QA Tests:
 /tests/  @openvinotoolkit/openvino-tests-maintainers
 
+# OpenVINO Scripts
+/scripts/ @openvinotoolkit/openvino-admins @openvinotoolkit/openvino-scripts-maintainers
+
 # IE Core:
 /inference-engine/  @openvinotoolkit/openvino-ie-maintainers
 /inference-engine/ie_bridges/python @openvinotoolkit/openvino-ie-python-api-maintainers

docs/IE_DG/Integrate_with_customer_application_new_API.md

@@ -36,7 +36,7 @@ InferenceEngine::Core core;
 ```cpp
 auto network = core.ReadNetwork("Model.xml");
 ```
-**Or read the model from ONNX format** (.onnx and .prototxt are supported formats). You can find more information about the ONNX format support in the document [ONNX format support in the OpenVINO™](./ONNX_Supported_Ops.md).
+**Or read the model from ONNX format** (.onnx and .prototxt are supported formats). You can find more information about the ONNX format support in the document [ONNX format support in the OpenVINO™](./ONNX_Support.md).
 ```cpp
 auto network = core.ReadNetwork("model.onnx");
 ```

docs/IE_DG/Introduction.md

@@ -117,7 +117,7 @@ Please refer to the [Overview of nGraph Flow](nGraph_Flow.md) describing the det
 
 Inference Engine is a runtime that delivers a unified API to integrate the inference with application logic:
 
-* Takes a model as an input. The model can be presented in [the native ONNX format](./ONNX_Supported_Ops.md) or in the specific form of [Intermediate Representation (IR)](../MO_DG/IR_and_opsets.md)
+* Takes a model as an input. The model can be presented in [the native ONNX format](./ONNX_Support.md) or in the specific form of [Intermediate Representation (IR)](../MO_DG/IR_and_opsets.md)
 produced by Model Optimizer.
 * Optimizes inference execution for target hardware.
 * Delivers inference solution with reduced footprint on embedded inference platforms.

docs/IE_DG/Migration_CoreAPI.md

@@ -45,7 +45,7 @@ read networks using the Core class:
 ```cpp
 CNNNetwork network = core.ReadNetwork(input_model);
 ```
-The Core class also allows reading models from the ONNX format (more information is [here](./ONNX_Supported_Ops.md)):
+The Core class also allows reading models from the ONNX format (more information is [here](./ONNX_Support.md)):
 ```cpp
 CNNNetwork network = core.ReadNetwork("model.onnx");
 ```

docs/IE_DG/ONNX_Support.md

@@ -0,0 +1,19 @@
+# ONNX format support in the OpenVINO™ {#openvino_docs_IE_DG_ONNX_Support}
+
+Starting from the 2020.4 release, OpenVINO™ supports reading native ONNX models.
+`Core::ReadNetwork()` method provides a uniform way to read models from IR or ONNX format, it is a recommended approach to reading models.
+Example:
+
+```cpp
+InferenceEngine::Core core;
+auto network = core.ReadNetwork("model.onnx");
+```
+
+OpenVINO™ doesn't provide a mechanism to specify pre-processing (like mean values subtraction, reverse input channels) for the ONNX format.
+If an ONNX model contains dynamic shapes for input, please use the `CNNNetwork::reshape` method for shape specialization.
+
+Unsupported types of tensors:
+
+* `string`,
+* `complex64`,
+* `complex128`.

docs/MO_DG/prepare_model/convert_model/Converting_Model_General.md

@@ -109,7 +109,6 @@ Framework-agnostic parameters:
   --disable_gfusing     Turn off fusing of grouped convolutions
   --enable_concat_optimization
                         Turn on Concat optimization.
-  --move_to_preprocess  Move mean values to IR preprocess section
   --extensions EXTENSIONS
                         Directory or a comma separated list of directories
                         with extensions. To disable all extensions including

docs/doxygen/ie_docs.xml

@@ -267,7 +267,7 @@
                     <tab type="user" title="Introduction to Performance Topics" url="@ref openvino_docs_IE_DG_Intro_to_Performance"/>
                     <tab type="user" title="Inference Engine Python* API Overview" url="@ref openvino_inference_engine_ie_bridges_python_docs_api_overview"/>
                     <tab type="user" title="Build a Model with nGraph" url="@ref openvino_docs_IE_DG_nGraphTutorial"/>
-                    <tab type="user" title="Read an ONNX model" url="@ref openvino_docs_IE_DG_ONNX_Supported_Ops"/>
+                    <tab type="user" title="Read an ONNX model" url="@ref openvino_docs_IE_DG_ONNX_Support"/>
                     <tab type="user" title="[DEPRECATED] Import an ONNX model" url="@ref openvino_docs_IE_DG_OnnxImporterTutorial"/>
                     <tab type="user" title="Graph Debug Capabilities" url="@ref openvino_docs_IE_DG_Graph_debug_capabilities"/>
                     <tab type="user" title="Using Dynamic Batching Feature" url="@ref openvino_docs_IE_DG_DynamicBatching"/>

docs/ops/opset4.md

@@ -62,7 +62,6 @@ declared in `namespace opset4`.
 * [GroupConvolution](convolution/GroupConvolution_1.md)
 * [GroupConvolutionBackpropData](convolution/GroupConvolutionBackpropData_1.md)
 * [GRUCell](sequence/GRUCell_3.md)
-* [GRUSequence](sequence/GRUSequence_4.md)
 * [HardSigmoid](activation/HardSigmoid_1.md)
 * [HSwish](activation/HSwish_4.md)
 * [Interpolate](image/Interpolate_4.md)
@@ -75,7 +74,6 @@ declared in `namespace opset4`.
 * [LogicalXor](logical/LogicalXor_1.md)
 * [LRN](normalization/LRN_1.md)
 * [LSTMCell](sequence/LSTMCell_1.md)
-* [LSTMSequence](sequence/LSTMSequence_1.md)
 * [MatMul](matrix/MatMul_1.md)
 * [MaxPool](pooling/MaxPool_1.md)
 * [Maximum](arithmetic/Maximum_1.md)
@@ -117,7 +115,6 @@ declared in `namespace opset4`.
 * [Reverse](movement/Reverse_1.md)
 * [ReverseSequence](movement/ReverseSequence_1.md)
 * [RNNCell](sequence/RNNCell_3.md)
-* [RNNSequence](sequence/RNNSequence_4.md)
 * [ROIAlign](detection/ROIAlign_3.md)
 * [ROIPooling](detection/ROIPooling_1.md)
 * [ScatterElementsUpdate](movement/ScatterElementsUpdate_3.md)