Provide ENABLE_STARTUP_FALLBACK property to enable/disable CPU as acc… (#14503)

* Provide ENABLE_STARTUP_FALLBACK property to enable/disable CPU as acceleration

* Add more test cases to ENABLE_STARTUP_FALLBACK property

* Remove unnecessary config

* Remove plugin.hpp

* Update test case by PR#14754

* Update copyright

Co-authored-by: River Li <river.li@intel.com>

* Simplify using namespace

---------

Co-authored-by: Chen Peter <peter.chen@intel.com>
Co-authored-by: River Li <river.li@intel.com>

.ci/azure/android_arm64.yml

@@ -12,6 +12,7 @@ trigger:
     - '*/layer_tests_summary/*'
     - '*/conformance/*'
     - 'tools/*'
+    - 'tests/layer_tests/*'
 
 pr:
   drafts: 'false'
@@ -28,6 +29,7 @@ pr:
     - '*/layer_tests_summary/*'
     - '*/conformance/*'
     - 'tools/*'
+    - 'tests/layer_tests/*'
 
 resources:
   repositories:
@@ -37,6 +39,9 @@ resources:
     name: openvinotoolkit/openvino_contrib
     ref: master
 
+variables:
+  - group: github
+
 jobs:
 - job: android_arm64
   # About 150% of total time
@@ -60,8 +65,23 @@ jobs:
     TMP_DIR: /mnt/tmp
     SHARE_DIR: /mount/cinfsshare/onnxtestdata
     CCACHE_DIR: $(SHARE_DIR)/ccache/master/android_arm64
+    LD_LIBRARY_PATH: $(Agent.ToolsDirectory)/Python/$(OV_PYTHON_VERSION)/x64/lib
+    OV_PYTHON_VERSION: 3.10.10 # Full version of Python its required for LD_LIBRARY_PATH. More details https://github.com/microsoft/azure-pipelines-tool-lib/blob/master/docs/overview.md#tool-cache
 
   steps:
+  - task: UsePythonVersion@0
+    inputs:
+      versionSpec: '$(OV_PYTHON_VERSION)' # Setting only major & minor version will download latest release from GH repo example 3.10 will be 3.10.10. 
+      addToPath: true
+      disableDownloadFromRegistry: false
+      architecture: 'x64'
+      githubToken: $(auth_token)
+    displayName: Setup Python 3.10
+    name: setupPython
+  - bash: |
+      #!/bin/bash
+      python -V
+
   - script: |
       curl -H Metadata:true --noproxy "*" "http://169.254.169.254/metadata/instance?api-version=2019-06-01"
       whoami

.ci/azure/linux.yml

@@ -40,6 +40,9 @@ resources:
     name: openvinotoolkit/testdata
     ref: master
 
+variables:
+  - group: github
+
 jobs:
 - job: Lin
   strategy:
@@ -96,8 +99,23 @@ jobs:
     CMAKE_VERSION: 3.24.0
     BUILD_PYTHON: $(WORK_DIR)/build_python
     INSTALL_PYTHON: $(INSTALL_OPENVINO)/extras/python
+    LD_LIBRARY_PATH: $(Agent.ToolsDirectory)/Python/$(OV_PYTHON_VERSION)/x64/lib
+    OV_PYTHON_VERSION: 3.10.10 # Full version of Python its required for LD_LIBRARY_PATH. More details https://github.com/microsoft/azure-pipelines-tool-lib/blob/master/docs/overview.md#tool-cache
 
   steps:
+  - task: UsePythonVersion@0
+    inputs:
+      versionSpec: '$(OV_PYTHON_VERSION)' # Setting only major & minor version will download latest release from GH repo example 3.10 will be 3.10.10. 
+      addToPath: true
+      disableDownloadFromRegistry: false
+      architecture: 'x64'
+      githubToken: $(auth_token)
+    displayName: Setup Python 3.10
+    name: setupPython
+  - bash: |
+      #!/bin/bash
+      python -V
+
   - script: |
       curl -H Metadata:true --noproxy "*" "http://169.254.169.254/metadata/instance?api-version=2019-06-01"
       whoami
@@ -285,36 +303,28 @@ jobs:
 
     # Skip test_onnx/test_zoo_models and test_onnx/test_backend due to long execution time
   - script: |
+      export LD_LIBRARY_PATH=$(REPO_DIR)/temp/gna_03.00.00.1910/linux/x64:$(LD_LIBRARY_PATH)
       python3 -m pytest -s $(INSTALL_TEST_DIR)/pyngraph $(PYTHON_STATIC_ARGS) \
         --junitxml=$(INSTALL_TEST_DIR)/TEST-Pyngraph.xml \
         --ignore=$(INSTALL_TEST_DIR)/pyngraph/tests/test_onnx/test_zoo_models.py \
         --ignore=$(INSTALL_TEST_DIR)/pyngraph/tests/test_onnx/test_backend.py
-    env:
-      # because of static build libgna is needed for python binary
-      LD_LIBRARY_PATH: $(REPO_DIR)/temp/gna_03.00.00.1910/linux/x64
     displayName: 'nGraph and IE Python Bindings Tests'
 
     # Skip test_onnx/test_zoo_models and test_onnx/test_backend due to long execution time
   - script: |
       # For python imports to import pybind_mock_frontend
+      export LD_LIBRARY_PATH=$(REPO_DIR)/temp/gna_03.00.00.1910/linux/x64:$(LD_LIBRARY_PATH)
       export PYTHONPATH=$(INSTALL_TEST_DIR):$(INSTALL_DIR)/python/python3.8:$PYTHONPATH
       python3 -m pytest -sv $(INSTALL_TEST_DIR)/pyopenvino $(PYTHON_STATIC_ARGS) \
         --junitxml=$(INSTALL_TEST_DIR)/TEST-Pyngraph.xml \
         --ignore=$(INSTALL_TEST_DIR)/pyopenvino/tests/test_utils/test_utils.py \
         --ignore=$(INSTALL_TEST_DIR)/pyopenvino/tests/test_onnx/test_zoo_models.py \
         --ignore=$(INSTALL_TEST_DIR)/pyopenvino/tests/test_onnx/test_backend.py
-    env:
-      # because of static build libgna is needed for python binary and mock_py frontend library
-      LD_LIBRARY_PATH: $(REPO_DIR)/temp/gna_03.00.00.1910/linux/x64:$(INSTALL_TEST_DIR)
-      # For frontend manager to load mock_py library
-      OV_FRONTEND_PATH: $(INSTALL_TEST_DIR)
     displayName: 'Python API 2.0 Tests'
 
   - script: |
+      export LD_LIBRARY_PATH=$(REPO_DIR)/temp/gna_03.00.00.1910/linux/x64:$(LD_LIBRARY_PATH)
       python3 -m pytest -s $(INSTALL_TEST_DIR)/mo/unit_tests --junitxml=$(INSTALL_TEST_DIR)/TEST-ModelOptimizer.xml
-    env:
-      # because of static build libgna is needed for python binary
-      LD_LIBRARY_PATH: $(REPO_DIR)/temp/gna_03.00.00.1910/linux/x64
     displayName: 'Model Optimizer UT'
 
   - script: |
@@ -394,12 +404,24 @@ jobs:
   - script: $(RUN_PREFIX) $(INSTALL_TEST_DIR)/ov_tensorflow_frontend_tests --gtest_print_time=1 --gtest_output=xml:$(INSTALL_TEST_DIR)/TEST-Tensorflow.xml
     displayName: 'TensorFlow Frontend Unit Tests'
 
+  - script: $(RUN_PREFIX) $(INSTALL_TEST_DIR)/ov_tensorflow_common_tests --gtest_print_time=1 --gtest_output=xml:$(INSTALL_TEST_DIR)/TEST-TensorflowCommon.xml
+    displayName: 'TensorFlow Common Unit Tests'
+
+  - script: $(RUN_PREFIX) $(INSTALL_TEST_DIR)/ov_tensorflow_lite_frontend_tests --gtest_print_time=1 --gtest_output=xml:$(INSTALL_TEST_DIR)/TEST-TensorflowLite.xml
+    displayName: 'TensorFlow Lite Frontend Unit Tests'
+
   - script: $(RUN_PREFIX) $(INSTALL_TEST_DIR)/ov_lp_transformations_tests --gtest_print_time=1 --gtest_output=xml:$(INSTALL_TEST_DIR)/TEST-LpTransformations.xml
     displayName: 'Low Precision Transformations Tests'
 
   - script: $(RUN_PREFIX) $(INSTALL_TEST_DIR)/ov_transformations_tests --gtest_print_time=1 --gtest_output=xml:$(INSTALL_TEST_DIR)/TEST-Transformations.xml
     displayName: 'Transformations Tests'
 
+  - script: $(RUN_PREFIX) $(INSTALL_TEST_DIR)/ov_legacy_transformations_tests --gtest_print_time=1 --gtest_output=xml:$(INSTALL_TEST_DIR)/TEST-LegacyTransformations.xml
+    displayName: 'Legacy Transformations Tests'
+
+  - script: $(RUN_PREFIX) $(INSTALL_TEST_DIR)/commonUtilsTests --gtest_print_time=1 --gtest_output=xml:$(INSTALL_TEST_DIR)/TEST-CommonUtilTests.xml
+    displayName: 'Common Utils Tests'
+
   - script: $(RUN_PREFIX) $(INSTALL_TEST_DIR)/InferenceEngineUnitTests --gtest_print_time=1 --gtest_output=xml:$(INSTALL_TEST_DIR)/TEST-InferenceEngineUnitTests.xml
     displayName: 'IE UT old'
 
@@ -411,7 +433,6 @@ jobs:
 
   - script: $(RUN_PREFIX) $(INSTALL_TEST_DIR)/ieMultiPluginUnitTests --gtest_output=xml:$(INSTALL_TEST_DIR)/TEST-ieMultiPluginUnitTests.xml
     displayName: 'MULTI UT'
-    enabled: 'false'
 
   - script: $(RUN_PREFIX) $(INSTALL_TEST_DIR)/ov_template_func_tests --gtest_filter=*smoke* --gtest_output=xml:$(INSTALL_TEST_DIR)/TEST-templateFuncTests.xml
     displayName: 'TEMPLATE FuncTests'
@@ -495,6 +516,13 @@ jobs:
       $(RUN_PREFIX) python3 -m pytest $(LAYER_TESTS_DIR)/tensorflow2_keras_tests/test_tf2_keras_activation.py --ir_version=11 --junitxml=./TEST-tf2_Activation.xmlTEST -k "sigmoid"
     displayName: 'TensorFlow 2 Layer Tests - Legacy FE'
 
+  - script: |
+      python3 -m pip install -r $(LAYER_TESTS_DIR)/requirements.txt
+      export PYTHONPATH=$(REPO_DIR)/tools/mo/:$(LAYER_TESTS_DIR):$PYTHONPATH
+      export TEST_DEVICE=CPU
+      $(RUN_PREFIX) python3 -m pytest $(LAYER_TESTS_DIR)/tensorflow_lite_tests/ --junitxml=$(INSTALL_TEST_DIR)/TEST-tfl_fe.xmlTEST
+    displayName: 'TensorFlow Lite Layer Tests - TFL FE'
+
   - script: |
       python3 -m pip install -r $(LAYER_TESTS_DIR)/requirements.txt
       export PYTHONPATH=$(LAYER_TESTS_DIR):$PYTHONPATH
@@ -516,6 +544,11 @@ jobs:
       $(RUN_PREFIX) python3 -m pytest $(LAYER_TESTS_DIR)/mo_python_api_tests/test_mo_convert_pytorch.py --ir_version=11 --junitxml=./TEST-test_mo_convert_pytorch.xmlTEST
     displayName: 'MO Python API Tests - Import PyTorch model from memory'
 
+  - script: |
+      python3 -m pip install -r $(LAYER_TESTS_DIR)/requirements.txt
+      $(RUN_PREFIX) python3 -m pytest $(LAYER_TESTS_DIR)/py_frontend_tests --junitxml=./TEST-test_py_fontend.xml
+    displayName: 'Python Frontend tests'
+
   - task: PublishTestResults@2
     condition: always()
     inputs:

.ci/azure/linux_arm64.yml

@@ -12,6 +12,7 @@ trigger:
     - '*/layer_tests_summary/*'
     - '*/conformance/*'
     - 'tools/*'
+    - 'tests/layer_tests/*'
 
 pr:
   drafts: 'false'
@@ -28,6 +29,7 @@ pr:
     - '*/layer_tests_summary/*'
     - '*/conformance/*'
     - 'tools/*'
+    - 'tests/layer_tests/*'
 
 resources:
   repositories:
@@ -37,6 +39,9 @@ resources:
     name: openvinotoolkit/openvino_contrib
     ref: master
 
+variables:
+  - group: github
+
 jobs:
 - job: linux_arm64
   # About 150% of total time
@@ -75,8 +80,23 @@ jobs:
     OPENVINO_CCACHE_DIR: $(SHARE_DIR)/ccache/master/linux_arm64
     OPENCV_CCACHE_DIR: $(SHARE_DIR)/ccache/master/linux_arm64_opencv
     ONETBB_CCACHE_DIR: $(SHARE_DIR)/ccache/master/linux_arm64_onetbb
+    LD_LIBRARY_PATH: $(Agent.ToolsDirectory)/Python/$(OV_PYTHON_VERSION)/x64/lib
+    OV_PYTHON_VERSION: 3.10.10 # Full version of Python its required for LD_LIBRARY_PATH. More details https://github.com/microsoft/azure-pipelines-tool-lib/blob/master/docs/overview.md#tool-cache
 
   steps:
+  - task: UsePythonVersion@0
+    inputs:
+      versionSpec: '$(OV_PYTHON_VERSION)' # Setting only major & minor version will download latest release from GH repo example 3.10 will be 3.10.10. 
+      addToPath: true
+      disableDownloadFromRegistry: false
+      architecture: 'x64'
+      githubToken: $(auth_token)
+    displayName: Setup Python 3.10
+    name: setupPython
+  - bash: |
+      #!/bin/bash
+      python -V
+
   - script: |
       curl -H Metadata:true --noproxy "*" "http://169.254.169.254/metadata/instance?api-version=2019-06-01"
       whoami
@@ -170,7 +190,7 @@ jobs:
       cmakeArgs: >
         -GNinja
         -DCMAKE_VERBOSE_MAKEFILE=ON
-        -DCMAKE_COMPILE_WARNING_AS_ERROR=OFF
+        -DCMAKE_COMPILE_WARNING_AS_ERROR=ON
         -DOpenCV_DIR=$(INSTALL_OPENCV)/cmake
         -DENABLE_PYTHON=OFF
         -DENABLE_TESTS=ON

.ci/azure/linux_conditional_compilation.yml

@@ -36,6 +36,9 @@ resources:
     endpoint: openvinotoolkit
     name: openvinotoolkit/testdata
 
+variables:
+  - group: github
+
 jobs:
 - job: LinCC
   # About 150% of total time
@@ -55,8 +58,23 @@ jobs:
     BUILD_DIR: $(WORK_DIR)/build
     INSTALL_DIR: $(WORK_DIR)/install_pkg
     SETUPVARS: $(INSTALL_DIR)/setupvars.sh
+    LD_LIBRARY_PATH: $(Agent.ToolsDirectory)/Python/$(OV_PYTHON_VERSION)/x64/lib
+    OV_PYTHON_VERSION: 3.10.10 # Full version of Python its required for LD_LIBRARY_PATH. More details https://github.com/microsoft/azure-pipelines-tool-lib/blob/master/docs/overview.md#tool-cache
 
   steps:
+  - task: UsePythonVersion@0
+    inputs:
+      versionSpec: '$(OV_PYTHON_VERSION)' # Setting only major & minor version will download latest release from GH repo example 3.10 will be 3.10.10. 
+      addToPath: true
+      disableDownloadFromRegistry: false
+      architecture: 'x64'
+      githubToken: $(auth_token)
+    displayName: Setup Python 3.10
+    name: setupPython
+  - bash: |
+      #!/bin/bash
+      python -V
+
   - script: |
       curl -H Metadata:true --noproxy "*" "http://169.254.169.254/metadata/instance?api-version=2019-06-01"
       whoami
@@ -109,30 +127,18 @@ jobs:
       cmakeArgs: >
         -GNinja
         -DENABLE_CPPLINT=OFF
+        -DENABLE_GAPI_PREPROCESSING=OFF
         -DCMAKE_VERBOSE_MAKEFILE=ON
         -DCMAKE_COMPILE_WARNING_AS_ERROR=ON
         -DCMAKE_BUILD_TYPE=$(BUILD_TYPE)
         -DENABLE_FASTER_BUILD=ON
         -DENABLE_PROFILING_ITT=ON
         -DSELECTIVE_BUILD=COLLECT
-        -DENABLE_INTEL_GPU=OFF
-        -DENABLE_INTEL_GNA=OFF
-        -DENABLE_MULTI=OFF
-        -DENABLE_AUTO=OFF
-        -DENABLE_AUTO_BATCH=OFF
-        -DENABLE_HETERO=OFF
-        -DENABLE_TEMPLATE=OFF
-        -DENABLE_OV_ONNX_FRONTEND=OFF
-        -DENABLE_OV_PADDLE_FRONTEND=OFF
-        -DENABLE_OV_PYTORCH_FRONTEND=OFF
-        -DENABLE_OV_TF_FRONTEND=OFF
         -S $(REPO_DIR)
         -B $(BUILD_DIR)
     displayName: 'Cmake CC COLLECT'
 
-  - script: |
-      cmake --build $(BUILD_DIR) --parallel --config $(BUILD_TYPE)
-      cmake --build $(BUILD_DIR) --parallel --config $(BUILD_TYPE) --target sea_itt_lib
+  - script: cmake --build $(BUILD_DIR) --parallel --config $(BUILD_TYPE) --target openvino_intel_cpu_plugin openvino_ir_frontend benchmark_app sea_itt_lib
     displayName: 'Build CC COLLECT'
 
   - script: ls -alR $(REPO_DIR)/bin/
@@ -155,7 +161,7 @@ jobs:
         -B $(BUILD_DIR)
     displayName: 'CMake CC ON'
 
-  - script: cmake --build $(BUILD_DIR) --parallel --config $(BUILD_TYPE)
+  - script: cmake --build $(BUILD_DIR) --parallel --config $(BUILD_TYPE) --target openvino_intel_cpu_plugin openvino_ir_frontend
     displayName: 'Build CC ON'
 
   - script: ls -alR $(REPO_DIR)/bin/

.ci/azure/linux_coverity.yml

@@ -32,17 +32,22 @@ jobs:
     TMP_DIR: /mnt/tmp
     SHARE_DIR: /mount/cinfsshare/onnxtestdata
     CCACHE_DIR: $(SHARE_DIR)/ccache/master/linux_coverity
+    LD_LIBRARY_PATH: $(Agent.ToolsDirectory)/Python/$(OV_PYTHON_VERSION)/x64/lib
+    OV_PYTHON_VERSION: 3.10.10 # Full version of Python its required for LD_LIBRARY_PATH. More details https://github.com/microsoft/azure-pipelines-tool-lib/blob/master/docs/overview.md#tool-cache
 
   steps:
-
   - task: UsePythonVersion@0
     inputs:
-      versionSpec: '3.10'
+      versionSpec: '$(OV_PYTHON_VERSION)' # Setting only major & minor version will download latest release from GH repo example 3.10 will be 3.10.10. 
       addToPath: true
+      disableDownloadFromRegistry: false
       architecture: 'x64'
       githubToken: $(auth_token)
     displayName: Setup Python 3.10
     name: setupPython
+  - bash: |
+      #!/bin/bash
+      python -V
 
   - script: |
       curl -H Metadata:true --noproxy "*" "http://169.254.169.254/metadata/instance?api-version=2019-06-01"

.ci/azure/linux_cuda.yml

@@ -12,6 +12,7 @@ trigger:
     - '*/layer_tests_summary/*'
     - '*/conformance/*'
     - 'tools/*'
+    - 'tests/layer_tests/*'
 
 pr:
   drafts: 'false'
@@ -28,6 +29,7 @@ pr:
     - '*/layer_tests_summary/*'
     - '*/conformance/*'
     - 'tools/*'
+    - 'tests/layer_tests/*'
 
 resources:
   repositories:

.ci/azure/linux_debian.yml

@@ -11,6 +11,7 @@ trigger:
     - '*.md'
     - '*/layer_tests_summary/*'
     - '*/conformance/*'
+    - 'tests/layer_tests/*'
 
 pr:
   branches:
@@ -25,6 +26,7 @@ pr:
     - '*.md'
     - '*/layer_tests_summary/*'
     - '*/conformance/*'
+    - 'tests/layer_tests/*'
 
 resources:
   repositories:
@@ -227,6 +229,8 @@ jobs:
         --junitxml=$(INSTALL_TEST_DIR)/TEST-Pyngraph.xml \
         --ignore=$(INSTALL_TEST_DIR)/pyngraph/tests/test_onnx/test_zoo_models.py \
         --ignore=$(INSTALL_TEST_DIR)/pyngraph/tests/test_onnx/test_backend.py
+    env:
+      LD_LIBRARY_PATH: $(INSTALL_TEST_DIR)
     displayName: 'nGraph and IE Python Bindings Tests'
 
     # Skip test_onnx/test_zoo_models and test_onnx/test_backend due to long execution time
@@ -235,10 +239,6 @@ jobs:
       # - tests install dir for mock_py
       # - OpenVINO wheel installation dir for others frontend required by mock_py (is not part of wheel pkg)
       export LD_LIBRARY_PATH=$(PYTHON_WHEEL_INSTALL_DIR)/openvino/libs:$(INSTALL_TEST_DIR):$LD_LIBRARY_PATH
-      # For frontend manager to load frontend libraries:
-      # - tests install dir for mock_py
-      # - OpenVINO wheel installation dir for others frontend (not required if this variable is not set)
-      export OV_FRONTEND_PATH=$(PYTHON_WHEEL_INSTALL_DIR)/openvino/libs:$(INSTALL_TEST_DIR)
       # For python imports to import pybind_mock_frontend
       export PYTHONPATH=$(INSTALL_TEST_DIR):$PYTHONPATH
       python3 -m pytest -s $(INSTALL_TEST_DIR)/pyopenvino \
@@ -248,7 +248,8 @@ jobs:
         --ignore=$(INSTALL_TEST_DIR)/pyopenvino/tests/test_onnx/test_backend.py -v
     displayName: 'Python API 2.0 Tests'
 
-  - script: python3 -m pytest -s $(INSTALL_TEST_DIR)/mo/unit_tests --junitxml=$(INSTALL_TEST_DIR)/TEST-ModelOptimizer.xml
+  - script: |
+      python3 -m pytest -s $(INSTALL_TEST_DIR)/mo/unit_tests --junitxml=$(INSTALL_TEST_DIR)/TEST-ModelOptimizer.xml
     displayName: 'Model Optimizer UT'
 
   - script: |
@@ -264,8 +265,7 @@ jobs:
       sudo apt-key add GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB
       echo "deb https://apt.repos.intel.com/openvino/2022 focal main" | sudo tee /etc/apt/sources.list.d/intel-openvino-2022.list
       sudo apt-get update -o Dir::Etc::sourcelist=/etc/apt/sources.list.d/intel-openvino-2022.list
-      # TODO: sudo apt-get install openvino -y || exit 1
-      sudo apt-get install openvino -y
+      sudo apt-get install openvino -y || exit 1
       # install our local one and make sure the conflicts are resolved
       sudo apt-get install --no-install-recommends dpkg-dev -y
       rm -r _CPack_Packages
@@ -312,22 +312,28 @@ jobs:
       LD_LIBRARY_PATH: $(INSTALL_TEST_DIR)
     displayName: 'Paddle Frontend UT'
 
-  - script: |
-      $(INSTALL_TEST_DIR)/ov_tensorflow_frontend_tests --gtest_print_time=1 --gtest_output=xml:$(INSTALL_TEST_DIR)/TEST-Tensorflow.xml
+  - script: $(INSTALL_TEST_DIR)/ov_tensorflow_frontend_tests --gtest_print_time=1 --gtest_output=xml:$(INSTALL_TEST_DIR)/TEST-Tensorflow.xml
     env:
       LD_LIBRARY_PATH: $(INSTALL_TEST_DIR)
     displayName: 'TensorFlow Frontend Unit Tests'
 
-    # python3 $(WORK_DIR)/gtest-parallel/gtest_parallel.py $(INSTALL_TEST_DIR)/InferenceEngineUnitTests --workers=16 --dump_json_test_results=InferenceEngineUnitTests.json --gtest_filter=*smoke* -- --gtest_print_time=1
-  - script: $(INSTALL_TEST_DIR)/InferenceEngineUnitTests --gtest_print_time=1 --gtest_output=xml:$(INSTALL_TEST_DIR)/TEST-InferenceEngineUnitTests.xml
-    displayName: 'IE UT old'
+  - script: |
+      $(INSTALL_TEST_DIR)/ov_tensorflow_common_tests --gtest_print_time=1 --gtest_output=xml:$(INSTALL_TEST_DIR)/TEST-TensorflowCommon.xml
+    env:
+      LD_LIBRARY_PATH: $(INSTALL_TEST_DIR)
+    displayName: 'TensorFlow Common Unit Tests'
+
+  - script: |
+      $(INSTALL_TEST_DIR)/ov_tensorflow_lite_frontend_tests --gtest_print_time=1 --gtest_output=xml:$(INSTALL_TEST_DIR)/TEST-TensorflowLite.xml
+    env:
+      LD_LIBRARY_PATH: $(INSTALL_TEST_DIR)
+    displayName: 'TensorFlow Lite Frontend Unit Tests'
 
   - script: $(INSTALL_TEST_DIR)/ov_cpu_unit_tests --gtest_output=xml:$(INSTALL_TEST_DIR)/TEST-ov_cpu_unit_tests.xml
     displayName: 'Intel CPU Unit Tests'
 
   - script: $(INSTALL_TEST_DIR)/ieMultiPluginUnitTests --gtest_output=xml:$(INSTALL_TEST_DIR)/TEST-ieMultiPluginUnitTests.xml
     displayName: 'MULTI UT'
-    enabled: 'false'
 
   - script:  |
       $(INSTALL_TEST_DIR)/ov_template_func_tests --gtest_filter=*smoke* --gtest_output=xml:$(INSTALL_TEST_DIR)/TEST-templateFuncTests.xml
@@ -384,6 +390,13 @@ jobs:
       python3 -m pytest $(LAYER_TESTS_DIR)/tensorflow_tests/test_tf_Roll.py --ir_version=10 --junitxml=$(INSTALL_TEST_DIR)/TEST-tf_Roll.xmlTEST
     displayName: 'TensorFlow 1 Layer Tests - Legacy FE'
 
+  - script: |
+      python3 -m pip install -r $(LAYER_TESTS_DIR)/requirements.txt
+      export PYTHONPATH=$(REPO_DIR)/tools/mo/:$(LAYER_TESTS_DIR):$PYTHONPATH
+      export TEST_DEVICE=CPU
+      $(RUN_PREFIX) python3 -m pytest $(LAYER_TESTS_DIR)/tensorflow_lite_tests/ --junitxml=$(INSTALL_TEST_DIR)/TEST-tfl_fe.xmlTEST
+    displayName: 'TensorFlow Lite Layer Tests - TFL FE'
+
   - task: PublishTestResults@2
     condition: always()
     inputs:

.ci/azure/linux_ngraph_onnx.yml

@@ -12,6 +12,7 @@ trigger:
     - '*/layer_tests_summary/*'
     - '*/conformance/*'
     - 'tools/*'
+    - 'tests/layer_tests/*'
 
 pr:
   drafts: 'false'
@@ -28,6 +29,7 @@ pr:
     - '*/layer_tests_summary/*'
     - '*/conformance/*'
     - 'tools/*'
+    - 'tests/layer_tests/*'
 
 jobs:
 - job: OpenVINO_ONNX_CI

.ci/azure/linux_onnxruntime.yml

@@ -12,6 +12,7 @@ trigger:
     - '*/layer_tests_summary/*'
     - '*/conformance/*'
     - 'tools/*'
+    - 'tests/layer_tests/*'
 
 pr:
   drafts: 'false'
@@ -28,6 +29,10 @@ pr:
     - '*/layer_tests_summary/*'
     - '*/conformance/*'
     - 'tools/*'
+    - 'tests/layer_tests/*'
+
+variables:
+  - group: github
 
 jobs:
 - job: onnxruntime
@@ -50,8 +55,23 @@ jobs:
     BUILD_DIR: $(WORK_DIR)/build
     ONNXRUNTIME_UTILS: $(REPO_DIR)/.ci/azure/ci_utils/onnxruntime
     ONNXRUNTIME_BUILD_DIR: $(ONNXRUNTIME_REPO_DIR)/build
+    LD_LIBRARY_PATH: $(Agent.ToolsDirectory)/Python/$(OV_PYTHON_VERSION)/x64/lib
+    OV_PYTHON_VERSION: 3.10.10 # Full version of Python its required for LD_LIBRARY_PATH. More details https://github.com/microsoft/azure-pipelines-tool-lib/blob/master/docs/overview.md#tool-cache
 
   steps:
+  - task: UsePythonVersion@0
+    inputs:
+      versionSpec: '$(OV_PYTHON_VERSION)' # Setting only major & minor version will download latest release from GH repo example 3.10 will be 3.10.10. 
+      addToPath: true
+      disableDownloadFromRegistry: false
+      architecture: 'x64'
+      githubToken: $(auth_token)
+    displayName: Setup Python 3.10
+    name: setupPython
+  - bash: |
+      #!/bin/bash
+      python -V
+
   - script: |
       curl -H Metadata:true --noproxy "*" "http://169.254.169.254/metadata/instance?api-version=2019-06-01"
       whoami

.ci/azure/mac.yml

@@ -11,6 +11,7 @@ trigger:
     - '*.md'
     - '*/layer_tests_summary/*'
     - '*/conformance/*'
+    - 'tests/layer_tests/*'
 
 pr:
   drafts: 'false'
@@ -26,6 +27,7 @@ pr:
     - '*.md'
     - '*/layer_tests_summary/*'
     - '*/conformance/*'
+    - 'tests/layer_tests/*'
 
 resources:
   repositories:
@@ -199,10 +201,6 @@ jobs:
     displayName: 'ONNX Frontend Tests'
     enabled: 'false'
 
-  - script: . $(SETUPVARS) && $(INSTALL_TEST_DIR)/InferenceEngineUnitTests --gtest_print_time=1 --gtest_output=xml:$(INSTALL_TEST_DIR)/TEST-InferenceEngineUnitTests.xml
-    displayName: 'IE UT old'
-    enabled: 'false'
-
   - script: . $(SETUPVARS) && $(INSTALL_TEST_DIR)/ov_cpu_unit_tests --gtest_output=xml:$(INSTALL_TEST_DIR)/TEST-ov_cpu_unit_tests.xml
     displayName: 'Intel CPU Unit Tests'
     enabled: 'false'

.ci/azure/windows.yml

@@ -263,9 +263,6 @@ jobs:
   - script: call $(SETUPVARS) && $(INSTALL_TEST_DIR)\ov_conditional_compilation_tests --gtest_print_time=1 --gtest_output=xml:$(INSTALL_TEST_DIR)\TEST-ConditionalCompilation.xml
     displayName: 'Conditional Compilation Tests'
 
-  - script: call $(SETUPVARS) && $(INSTALL_TEST_DIR)\paddle_tests --gtest_print_time=1 --gtest_output=xml:$(INSTALL_TEST_DIR)\TEST-PaddleTests.xml
-    displayName: 'Paddle Tests'
-
   - script: call $(SETUPVARS) && $(INSTALL_TEST_DIR)\ov_ir_frontend_tests --gtest_print_time=1 --gtest_output=xml:$(INSTALL_TEST_DIR)\TEST-IRFrontend.xml
     displayName: 'IR Frontend Tests'
 
@@ -278,11 +275,23 @@ jobs:
   - script: call $(SETUPVARS) && $(INSTALL_TEST_DIR)\ov_tensorflow_frontend_tests --gtest_print_time=1 --gtest_output=xml:$(INSTALL_TEST_DIR)\TEST-Tensorflow.xml
     displayName: 'TensorFlow Frontend Unit Tests'
 
+  - script: call $(SETUPVARS) && $(INSTALL_TEST_DIR)\ov_tensorflow_common_tests --gtest_print_time=1 --gtest_output=xml:$(INSTALL_TEST_DIR)\TEST-TensorflowCommon.xml
+    displayName: 'TensorFlow Common Unit Tests'
+
+  - script: call $(SETUPVARS) && $(INSTALL_TEST_DIR)\ov_tensorflow_lite_frontend_tests --gtest_print_time=1 --gtest_output=xml:$(INSTALL_TEST_DIR)\TEST-TensorflowLite.xml
+    displayName: 'TensorFlow Lite Frontend Unit Tests'
+
   - script: call $(SETUPVARS) && $(INSTALL_TEST_DIR)\ov_lp_transformations_tests --gtest_print_time=1 --gtest_output=xml:$(INSTALL_TEST_DIR)\LpTransformations.xml
     displayName: 'Low Precision Transformations Tests'
 
   - script: call $(SETUPVARS) && $(INSTALL_TEST_DIR)\ov_transformations_tests --gtest_print_time=1 --gtest_output=xml:$(INSTALL_TEST_DIR)\Transformations.xml
     displayName: 'Transformations Tests'
+    
+  - script: call $(SETUPVARS) && $(INSTALL_TEST_DIR)\ov_legacy_transformations_tests --gtest_print_time=1 --gtest_output=xml:$(INSTALL_TEST_DIR)\LegacyTransformations.xml
+    displayName: 'Legacy Transformations Tests'
+    
+  - script: call $(SETUPVARS) && $(INSTALL_TEST_DIR)\commonUtilsTests --gtest_print_time=1 --gtest_output=xml:$(INSTALL_TEST_DIR)\CommonUtilTests.xml
+    displayName: 'Common Utils Tests'
 
   - script: call $(SETUPVARS) && $(INSTALL_TEST_DIR)\InferenceEngineUnitTests --gtest_output=xml:$(INSTALL_TEST_DIR)\TEST-InferenceEngineUnitTests.xml
     displayName: 'IE UT old'
@@ -295,7 +304,6 @@ jobs:
 
   - script: call $(SETUPVARS) && $(INSTALL_TEST_DIR)\ieMultiPluginUnitTests --gtest_output=xml:$(INSTALL_TEST_DIR)\TEST-ieMultiPluginUnitTests.xml
     displayName: 'MULTI UT'
-    enabled: 'false'
 
   - script: call $(SETUPVARS) && $(INSTALL_TEST_DIR)\ov_template_func_tests --gtest_output=xml:$(INSTALL_TEST_DIR)\TEST-templateFuncTests.xml
     displayName: 'TEMPLATE FuncTests'

.ci/azure/windows_conditional_compilation.yml

@@ -113,6 +113,8 @@ jobs:
   - script: |
       set PATH=$(WORK_DIR)\ninja-win;%PATH%
       call "$(MSVS_VARS_PATH)" && cmake -GNinja ^
+        -DENABLE_CPPLINT=OFF ^
+        -DENABLE_GAPI_PREPROCESSING=OFF ^
         -DENABLE_FASTER_BUILD=ON ^
         -DCMAKE_COMPILE_WARNING_AS_ERROR=ON ^
         -DCMAKE_BUILD_TYPE=$(BUILD_TYPE) ^
@@ -120,29 +122,17 @@ jobs:
         -DSELECTIVE_BUILD=COLLECT ^
         -DCMAKE_C_COMPILER:PATH="$(MSVC_COMPILER_PATH)" ^
         -DCMAKE_CXX_COMPILER:PATH="$(MSVC_COMPILER_PATH)" ^
-        -DENABLE_CLDNN=OFF ^
-        -DENABLE_INTEL_GPU=OFF ^
-        -DENABLE_MULTI=OFF ^
-        -DENABLE_AUTO=OFF ^
-        -DENABLE_AUTO_BATCH=OFF ^
-        -DENABLE_HETERO=OFF ^
-        -DENABLE_TEMPLATE=OFF ^
-        -DENABLE_TESTS=OFF ^
-        -DENABLE_OV_ONNX_FRONTEND=OFF ^
-        -DENABLE_OV_PADDLE_FRONTEND=OFF ^
-        -DENABLE_OV_PYTORCH_FRONTEND=OFF ^
-        -DENABLE_OV_TF_FRONTEND=OFF ^
-        $(REPO_DIR)
-    workingDirectory: $(BUILD_DIR)
-    displayName: 'CMake'
+        -S $(REPO_DIR) ^
+        -B $(BUILD_DIR)
+    displayName: 'CMake CC COLLECT'
 
   - script: dir $(REPO_DIR)\temp\ /s
     displayName: 'List temp SDKs'
 
   - script: |
-      call "$(MSVS_VARS_PATH)" && cmake --build . --config $(BUILD_TYPE) && cmake --build . --config $(BUILD_TYPE) --target sea_itt_lib
-    workingDirectory: $(BUILD_DIR)
-    displayName: 'Build Win CC COLLECT'
+      call "$(MSVS_VARS_PATH)" && cmake --build $(BUILD_DIR) --config $(BUILD_TYPE) --parallel --target ^
+        openvino_intel_cpu_plugin openvino_ir_frontend benchmark_app sea_itt_lib
+    displayName: 'Build CC COLLECT'
 
   - script: dir $(REPO_DIR)\bin\ /s
     displayName: 'List bin files'
@@ -159,32 +149,23 @@ jobs:
   - script: |
       call "$(MSVS_VARS_PATH)" && cmake -G"Visual Studio 16 2019" ^
         -DVERBOSE_BUILD=ON ^
+        -DENABLE_CPPLINT=OFF ^
+        -DENABLE_GAPI_PREPROCESSING=OFF ^
         -DENABLE_FASTER_BUILD=ON ^
         -DCMAKE_BUILD_TYPE=$(BUILD_TYPE) ^
         -DENABLE_PROFILING_ITT=OFF ^
         -DSELECTIVE_BUILD=ON ^
+        -DCMAKE_COMPILE_WARNING_AS_ERROR=ON ^
         -DSELECTIVE_BUILD_STAT=$(BUILD_DIR)\*.csv ^
         -DCMAKE_C_COMPILER:PATH="$(MSVC_COMPILER_PATH)" ^
         -DCMAKE_CXX_COMPILER:PATH="$(MSVC_COMPILER_PATH)" ^
-        -DENABLE_CLDNN=OFF ^
-        -DENABLE_INTEL_GPU=OFF ^
-        -DENABLE_MULTI=OFF ^
-        -DENABLE_AUTO=OFF ^
-        -DENABLE_AUTO_BATCH=OFF ^
-        -DENABLE_HETERO=OFF ^
-        -DENABLE_TEMPLATE=OFF ^
-        -DENABLE_TESTS=OFF ^
-        -DENABLE_OV_ONNX_FRONTEND=OFF ^
-        -DENABLE_OV_PADDLE_FRONTEND=OFF ^
-        -DENABLE_OV_PYTORCH_FRONTEND=OFF ^
-        -DENABLE_OV_TF_FRONTEND=OFF ^
-        $(REPO_DIR)
-    workingDirectory: $(BUILD_DIR_2)
-    displayName: 'CMake2'
+        -S $(REPO_DIR) ^
+        -B $(BUILD_DIR_2)
+    displayName: 'CMake CC ON'
 
-  - script: cmake --build . --config $(BUILD_TYPE)
-    workingDirectory: $(BUILD_DIR_2)
-    displayName: 'Build WinCC ON'
+  - script: cmake --build $(BUILD_DIR_2) --config $(BUILD_TYPE) --parallel --target ^
+      openvino_intel_cpu_plugin openvino_ir_frontend benchmark_app
+    displayName: 'Build CC ON'
 
   - script: dir $(REPO_DIR)\bin\ /s
     displayName: 'List bin files ON'

.ci/openvino-onnx/Dockerfile

@@ -70,6 +70,6 @@ RUN ninja install
 # Run tests via tox
 WORKDIR /openvino/src/bindings/python
 ENV OpenVINO_DIR=/openvino/dist/runtime/cmake
-ENV LD_LIBRARY_PATH=/openvino/dist/runtime/lib:/openvino/dist/runtime/3rdparty/tbb/lib
+ENV LD_LIBRARY_PATH=/openvino/dist/runtime/lib/intel64:/openvino/dist/runtime/3rdparty/tbb/lib
 ENV PYTHONPATH=/openvino/bin/intel64/${BUILD_TYPE}/python_api/python3.10:${PYTHONPATH}
 CMD tox

.gitattributes

@@ -64,6 +64,7 @@
 *.gif filter=lfs diff=lfs merge=lfs -text
 *.vsdx filter=lfs diff=lfs merge=lfs -text
 *.bmp filter=lfs diff=lfs merge=lfs -text
+*.svg filter=lfs diff=lfs merge=lfs -text
 
 #POT attributes
 tools/pot/tests/data/test_cases_refs/* filter=lfs diff=lfs merge=lfs -text

.github/CODEOWNERS

@@ -42,7 +42,6 @@
 
 # OpenVINO Func Tests:
 /src/tests/  @openvinotoolkit/openvino-ie-tests-maintainers @openvinotoolkit/openvino-ie-test-developers
-/src/tests_deprecated/  @openvinotoolkit/openvino-ie-tests-maintainers @openvinotoolkit/openvino-ie-test-developers
 /src/frontends/tests/frontend/shared/ @openvinotoolkit/openvino-ie-tests-maintainers
 /thirdparty/gtest/ @openvinotoolkit/openvino-ie-tests-maintainers
 
@@ -61,7 +60,6 @@
 
 # OpenVINO GNA:
 /src/plugins/intel_gna/  @openvinotoolkit/openvino-ie-gna-maintainers
-/src/common/legacy/ @openvinotoolkit/openvino-ie-gna-maintainers
 
 # OpenVINO Auto (MULTI) plugin:
 /src/plugins/auto/  @openvinotoolkit/openvino-ie-auto-multi-maintainers
@@ -80,6 +78,8 @@
 /src/frontends/ir/ @openvinotoolkit/openvino-ir-frontend-maintainers
 /src/frontends/paddle/  @openvinotoolkit/openvino-ie-paddle-maintainers
 /src/frontends/tensorflow/  @openvinotoolkit/openvino-tf-frontend-maintainers
+/src/frontends/tensorflow_common/  @openvinotoolkit/openvino-tf-frontend-maintainers
+/src/frontends/tensorflow_lite/  @openvinotoolkit/openvino-tf-frontend-maintainers
 /src/frontends/pytorch/ @openvinotoolkit/openvino-pytorch-frontend-maintainers
 
 # OpenVINO ONNX Frontend:
@@ -106,6 +106,7 @@
 /docs/  @openvinotoolkit/openvino-docs-maintainers
 /docs/CMakeLists.txt @openvinotoolkit/openvino-ie-maintainers
 /**/*.md  @openvinotoolkit/openvino-docs-maintainers
+/**/*.svg  @openvinotoolkit/openvino-docs-maintainers
 /docs/MO_DG/ @openvinotoolkit/openvino-docs-maintainers @openvinotoolkit/openvino-mo-maintainers
 /docs/OV_Runtime_UG/ @openvinotoolkit/openvino-docs-maintainers @openvinotoolkit/openvino-ie-maintainers
 /docs/IE_PLUGIN_DG/ @openvinotoolkit/openvino-docs-maintainers @openvinotoolkit/openvino-ie-maintainers

.github/dependabot.yml

@@ -119,6 +119,21 @@ updates:
       - "p-wysocki"
     versioning-strategy: increase-if-necessary
 
+  # TensorFlow Lite FE tests requirements
+  - package-ecosystem: pip
+    directory: "/src/frontends/tensorflow_lite/tests/"
+    schedule:
+      interval: "daily"
+      time: "09:00"
+      timezone: "Asia/Dubai"
+    open-pull-requests-limit: 3
+    assignees:
+      - "jane-intel"
+      - "rkazants"
+      - "jiwaszki"
+      - "p-wysocki"
+    versioning-strategy: increase-if-necessary
+
   #
   # Python Samples
   #

.github/labeler.yml

@@ -27,9 +27,11 @@
 'category: CPP API':
 - 'src/inference/include/**/*'
 - 'src/core/include/**/*'
-- 'src/frontends/common/**/*'
+- 'src/frontends/common/include/**/*'
 - 'src/frontends/onnx/frontend/include/**/*'
 - 'src/frontends/tensorflow/include/**/*'
+- 'src/frontends/tensorflow_lite/include/**/*'
+- 'src/frontends/pytorch/include/**/*'
 - 'src/frontends/paddle/include/**/*'
 
 'category: CPU':
@@ -56,7 +58,6 @@
 
 'category: GNA':
 - 'src/plugins/intel_gna/**/*'
-- 'src/common/legacy/**/*'
 
 'category: GPU':
 - 'src/plugins/intel_gpu/**/*'
@@ -119,8 +120,14 @@
 
 'category: TF FE':
 - 'src/frontends/tensorflow/**/*'
+- 'src/frontends/tensorflow_common/**/*'
 - 'tests/layer_tests/tensorflow_tests/**/*'
 
+'category: TFL FE':
+- 'src/frontends/tensorflow_lite/**/*'
+- 'src/frontends/tensorflow_common/**/*'
+- 'tests/layer_tests/tensorflow_lite_tests/**/*'
+
 'category: PyTorch FE':
 - 'src/frontends/pytorch/**/*'
 - 'tests/layer_tests/pytorch_tests/**/*'

.github/workflows/build_doc.yml

@@ -7,7 +7,7 @@ on:
       - 'releases/**'
 
 env:
-  DOXY_VER: '1.9.2'
+  DOXY_VER: '1.9.6'
   DOXYREST_VER: '2.1.3'
 
 concurrency:
@@ -51,7 +51,7 @@ jobs:
           tar -xf doxyrest-$DOXYREST_VER-linux-amd64.tar.xz
           echo "$(pwd)/doxyrest-$DOXYREST_VER-linux-amd64/bin/" >> $GITHUB_PATH
           # install doxygen
-          wget https://sourceforge.net/projects/doxygen/files/rel-$DOXY_VER/doxygen-$DOXY_VER.linux.bin.tar.gz
+          wget https://www.doxygen.nl/files/doxygen-$DOXY_VER.linux.bin.tar.gz
           tar -xzf doxygen-$DOXY_VER.linux.bin.tar.gz
           echo "$(pwd)/doxygen-$DOXY_VER/bin/" >> $GITHUB_PATH
 

.gitmodules

@@ -63,3 +63,6 @@
 	path = thirdparty/json/nlohmann_json
 	url = https://github.com/nlohmann/json.git
 	shallow = true
+[submodule "thirdparty/flatbuffers/flatbuffers"]
+	path = thirdparty/flatbuffers/flatbuffers
+	url = https://github.com/google/flatbuffers.git

README.md

@@ -144,7 +144,7 @@ The latest documentation for OpenVINO™ Toolkit is available [here](https://doc
 
 The list of OpenVINO tutorials:
 
-- [Jupiter notebooks](https://github.com/openvinotoolkit/openvino_notebooks)
+- [Jupyter notebooks](https://github.com/openvinotoolkit/openvino_notebooks)
 
 ## Products which use OpenVINO
 

cmake/coverage.cmake

@@ -9,17 +9,19 @@ ov_coverage_clean(REPOSITORY "openvino"
 ov_coverage_capture(INFO_FILE "openvino"
                     BASE_DIRECTORY "${OV_COVERAGE_BASE_DIRECTORY}"
                     DIRECTORY "${OV_COVERAGE_GCDA_DATA_DIRECTORY}"
-                    EXCLUDE_PATTERNS "${OV_COVERAGE_BASE_DIRECTORY}/*.pb.cc" 
-                                     "${OV_COVERAGE_BASE_DIRECTORY}/*.pb.h" 
-                                     "${OV_COVERAGE_BASE_DIRECTORY}/*/tests/*" 
-                                     "${OV_COVERAGE_BASE_DIRECTORY}/*/tests_deprecated/*" 
-                                     "${OV_COVERAGE_BASE_DIRECTORY}/thirdparty/*") # Skip some pb files, tests and thirdparty
+                    EXCLUDE_PATTERNS "${OV_COVERAGE_BASE_DIRECTORY}/*.pb.cc"
+                                     "${OV_COVERAGE_BASE_DIRECTORY}/*.pb.h"
+                                     "${OV_COVERAGE_BASE_DIRECTORY}/*/tests/*"
+                                     "${OV_COVERAGE_BASE_DIRECTORY}/*/tests_deprecated/*"
+                                     "${OV_COVERAGE_BASE_DIRECTORY}/thirdparty/*"
+                                     "${OV_COVERAGE_BASE_DIRECTORY}/CMakeCXXCompilerId.cpp"
+                                     "${OV_COVERAGE_BASE_DIRECTORY}/CMakeCCompilerId.c") # Skip some service files, tests and thirdparty
+# Generate reports
+
 # Common report
 ov_coverage_genhtml(INFO_FILE "openvino"
                     PREFIX "${OV_COVERAGE_BASE_DIRECTORY}")
 
-# Generate reports
-
 ##################### Core Components #####################
 ov_coverage_extract(INPUT "openvino" OUTPUT "inference"
                     PATTERNS "${OV_COVERAGE_BASE_DIRECTORY}/src/inference/*")
@@ -41,13 +43,8 @@ ov_coverage_extract(INPUT "openvino" OUTPUT "low_precision_transformations"
 ov_coverage_genhtml(INFO_FILE "low_precision_transformations"
                     PREFIX "${OV_COVERAGE_BASE_DIRECTORY}")
 
-ov_coverage_extract(INPUT "openvino" OUTPUT "legacy"
-                    PATTERNS "${OV_COVERAGE_BASE_DIRECTORY}/src/common/legacy/*")
-ov_coverage_genhtml(INFO_FILE "legacy"
-                    PREFIX "${OV_COVERAGE_BASE_DIRECTORY}")
-
 ov_coverage_extract(INPUT "openvino" OUTPUT "preprocessing"
-                    PATTERNS "${OV_COVERAGE_BASE_DIRECTORY}src/common/preprocessing/*")
+                    PATTERNS "${OV_COVERAGE_BASE_DIRECTORY}src/common/preprocessing/src/*")
 ov_coverage_genhtml(INFO_FILE "preprocessing"
                     PREFIX "${OV_COVERAGE_BASE_DIRECTORY}")
 

cmake/developer_package/IEDevScriptsConfig.cmake

@@ -215,6 +215,8 @@ set(CMAKE_POLICY_DEFAULT_CMP0026 NEW)
 set(CMAKE_POLICY_DEFAULT_CMP0042 NEW)
 # CMake 3.9+: `RPATH` settings on macOS do not affect `install_name`.
 set(CMAKE_POLICY_DEFAULT_CMP0068 NEW)
+# CMake 3.12+: find_package() uses <PackageName>_ROOT variables.
+set(CMAKE_POLICY_DEFAULT_CMP0074 NEW)
 # CMake 3.13+: option() honors normal variables.
 set(CMAKE_POLICY_DEFAULT_CMP0077 NEW)
 # CMake 3.19+: An imported target missing its location property fails during generation.
@@ -290,7 +292,7 @@ function(ie_mark_target_as_cc TARGET_NAME)
     endif()
     target_link_libraries(${TARGET_NAME} PRIVATE ${cc_library})
 
-    if(NOT (SELECTIVE_BUILD STREQUAL "ON"))
+    if(NOT SELECTIVE_BUILD STREQUAL "ON")
         return()
     endif()
 
@@ -308,6 +310,7 @@ function(ov_mark_target_as_cc)
 endfunction()
 
 include(python_requirements)
+include(native_compile)
 
 # Code style utils
 

cmake/developer_package/compile_flags/os_flags.cmake

@@ -6,22 +6,24 @@ include(ProcessorCount)
 include(CheckCXXCompilerFlag)
 
 #
-# disable_deprecated_warnings()
+# ov_disable_deprecated_warnings()
 #
 # Disables deprecated warnings generation in current scope (directory, function)
 # Defines ie_c_cxx_deprecated varaible which contains C / C++ compiler flags
 #
-macro(disable_deprecated_warnings)
+macro(ov_disable_deprecated_warnings)
     if(WIN32)
         if(CMAKE_CXX_COMPILER_ID STREQUAL "Intel")
             set(ie_c_cxx_deprecated "/Qdiag-disable:1478,1786")
         elseif(CMAKE_CXX_COMPILER_ID STREQUAL "MSVC")
             set(ie_c_cxx_deprecated "/wd4996")
+        elseif(OV_COMPILER_IS_CLANG)
+            set(ie_c_cxx_deprecated "-Wno-deprecated-declarations")
         endif()
     else()
         if(CMAKE_CXX_COMPILER_ID STREQUAL "Intel")
             set(ie_c_cxx_deprecated "-diag-disable=1478,1786")
-        else()
+        elseif(OV_COMPILER_IS_CLANG OR CMAKE_COMPILER_IS_GNUCXX)
             set(ie_c_cxx_deprecated "-Wno-deprecated-declarations")
         endif()
     endif()
@@ -36,32 +38,36 @@ macro(disable_deprecated_warnings)
     set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} ${ie_c_cxx_deprecated}")
 endmacro()
 
+macro(disable_deprecated_warnings)
+    ov_disable_deprecated_warnings()
+endmacro()
+
 #
-# ie_deprecated_no_errors()
+# ov_deprecated_no_errors()
 #
 # Don't threat deprecated warnings as errors in current scope (directory, function)
 # Defines ie_c_cxx_deprecated_no_errors varaible which contains C / C++ compiler flags
 #
-macro(ie_deprecated_no_errors)
+macro(ov_deprecated_no_errors)
     if(WIN32)
         if(CMAKE_CXX_COMPILER_ID STREQUAL "Intel")
             set(ie_c_cxx_deprecated_no_errors "/Qdiag-warning:1478,1786")
         elseif(CMAKE_CXX_COMPILER_ID STREQUAL "MSVC")
             # show 4996 only for /w4
             set(ie_c_cxx_deprecated_no_errors "/wd4996")
-            # WA for VPUX plugin
-            set(ie_c_cxx_deprecated_no_errors "${ie_c_cxx_deprecated_no_errors} /wd4146 /wd4703")
+        elseif(OV_COMPILER_IS_CLANG)
+            set(ie_c_cxx_deprecated_no_errors "-Wno-error=deprecated-declarations")
         endif()
     else()
         if(CMAKE_CXX_COMPILER_ID STREQUAL "Intel")
             set(ie_c_cxx_deprecated_no_errors "-diag-warning=1478,1786")
-        else()
+        elseif(OV_COMPILER_IS_CLANG OR CMAKE_COMPILER_IS_GNUCXX)
             set(ie_c_cxx_deprecated_no_errors "-Wno-error=deprecated-declarations")
         endif()
+    endif()
 
-        if(NOT ie_c_cxx_deprecated_no_errors)
-            message(WARNING "Unsupported CXX compiler ${CMAKE_CXX_COMPILER_ID}")
-        endif()
+    if(NOT ie_c_cxx_deprecated_no_errors)
+        message(WARNING "Unsupported CXX compiler ${CMAKE_CXX_COMPILER_ID}")
     endif()
 
     set(CMAKE_CXX_FLAGS_RELEASE "${CMAKE_CXX_FLAGS_RELEASE} ${ie_c_cxx_deprecated_no_errors}")
@@ -70,6 +76,25 @@ macro(ie_deprecated_no_errors)
     set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} ${ie_c_cxx_deprecated_no_errors}")
 endmacro()
 
+#
+# ov_dev_package_no_errors()
+#
+# Exports flags for 3rdparty modules, but without errors
+#
+macro(ov_dev_package_no_errors)
+    if(OV_COMPILER_IS_CLANG OR CMAKE_COMPILER_IS_GNUCXX)
+        set(ie_c_cxx_dev_no_errors "-Wno-all")
+        if(SUGGEST_OVERRIDE_SUPPORTED)
+            set(ie_cxx_dev_no_errors "${ie_c_cxx_dev_no_errors} -Wno-error=suggest-override")
+        endif()
+    endif()
+
+    set(CMAKE_CXX_FLAGS_RELEASE "${CMAKE_CXX_FLAGS_RELEASE} ${ie_c_cxx_dev_no_errors} ${ie_cxx_dev_no_errors}")
+    set(CMAKE_C_FLAGS_RELEASE "${CMAKE_C_FLAGS_RELEASE} ${ie_c_cxx_dev_no_errors}")
+    set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ${ie_c_cxx_dev_no_errors} ${ie_cxx_dev_no_errors}")
+    set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} ${ie_c_cxx_dev_no_errors}")
+endmacro()
+
 #
 # ie_sse42_optimization_flags(<output flags>)
 #
@@ -167,7 +192,10 @@ macro(ie_arm_neon_optimization_flags flags)
         endif()
     else()
         if(AARCH64)
-            set(${flags} -O2 -ftree-vectorize)
+            set(${flags} -O2)
+            if(NOT CMAKE_CL_64)
+                list(APPEND ${flags} -ftree-vectorize)
+            endif()
         elseif(ARM)
             set(${flags} -mfpu=neon -Wno-unused-command-line-argument)
         endif()
@@ -192,7 +220,9 @@ function(ov_disable_all_warnings)
             if(target_type STREQUAL "SHARED_LIBRARY" OR target_type STREQUAL "EXECUTABLE")
                 set(link_interface LINK_OPTIONS)
             endif()
-            set_target_properties(${target} PROPERTIES ${link_interface} "-Wno-error=maybe-uninitialized;-Wno-maybe-uninitialized")
+            if(CMAKE_COMPILER_IS_GNUCXX)
+                set_target_properties(${target} PROPERTIES ${link_interface} "-Wno-error=maybe-uninitialized;-Wno-maybe-uninitialized")
+            endif()
         elseif(UNIX AND CMAKE_CXX_COMPILER_ID STREQUAL "Intel")
             # 193: zero used for undefined preprocessing identifier "XXX"
             # 1011: missing return statement at end of non-void function "XXX"
@@ -240,6 +270,21 @@ function(ov_force_include target scope header_file)
     endif()
 endfunction()
 
+# 
+# ie_python_minimal_api(<target>)
+#
+# Set options to use only Python Limited API
+#
+function(ie_python_minimal_api target)
+    # pybind11 uses a lot of API which is not a part of minimal python API subset
+    # Ref 1: https://docs.python.org/3.11/c-api/stable.html
+    # Ref 2: https://github.com/pybind/pybind11/issues/1755
+    # target_compile_definitions(${target} PRIVATE Py_LIMITED_API=0x03090000)
+    # if(NOT CMAKE_CXX_COMPILER_ID STREQUAL "MSVC")
+    #     target_compile_options(${target} PRIVATE "-Wno-unused-variable")
+    # endif()
+endfunction()
+
 #
 # Compilation and linker flags
 #
@@ -264,34 +309,53 @@ if(ENABLE_COVERAGE)
     set(CMAKE_EXE_LINKER_FLAGS "${CMAKE_EXE_LINKER_FLAGS} --coverage")
 endif()
 
-if(NOT CMAKE_CXX_COMPILER_ID STREQUAL "MSVC")
-    ie_add_compiler_flags(-fsigned-char)
-endif()
-
 # Honor visibility properties for all target types
 set(CMAKE_POLICY_DEFAULT_CMP0063 NEW)
 set(CMAKE_CXX_VISIBILITY_PRESET hidden)
 set(CMAKE_C_VISIBILITY_PRESET hidden)
 set(CMAKE_VISIBILITY_INLINES_HIDDEN ON)
 
-function(ie_python_minimal_api target)
-    # pybind11 uses a lot of API which is not a part of minimal python API subset
-    # Ref 1: https://docs.python.org/3.11/c-api/stable.html
-    # Ref 2: https://github.com/pybind/pybind11/issues/1755
-    # target_compile_definitions(${target} PRIVATE Py_LIMITED_API=0x03090000)
-    # if(NOT CMAKE_CXX_COMPILER_ID STREQUAL "MSVC")
-    #     target_compile_options(${target} PRIVATE "-Wno-unused-variable")
-    # endif()
-endfunction()
+if(CMAKE_CL_64)
+    # Default char Type Is unsigned
+    # ie_add_compiler_flags(/J)
+else()
+    ie_add_compiler_flags(-fsigned-char)
+endif()
 
 if(WIN32)
-    ie_add_compiler_flags(-D_CRT_SECURE_NO_WARNINGS -D_SCL_SECURE_NO_WARNINGS)
-    ie_add_compiler_flags(/EHsc) # no asynchronous structured exception handling
-    ie_add_compiler_flags(/Gy) # remove unreferenced functions: function level linking
+    #
+    # Common options / warnings enabled
+    #
+
+    ie_add_compiler_flags(/D_CRT_SECURE_NO_WARNINGS /D_SCL_SECURE_NO_WARNINGS)
+     # no asynchronous structured exception handling
+    ie_add_compiler_flags(/EHsc)
+    # Allows the compiler to package individual functions in the form of packaged functions (COMDATs).
+    ie_add_compiler_flags(/Gy)
+    # This option helps ensure the fewest possible hard-to-find code defects. Similar to -Wall on GNU / Clang
+    ie_add_compiler_flags(/W3)
+
+    if(CMAKE_CXX_COMPILER_ID STREQUAL "MSVC")
+        # Increase Number of Sections in .Obj file
+        ie_add_compiler_flags(/bigobj)
+        # Build with multiple processes
+        ie_add_compiler_flags(/MP)
+
+        if(AARCH64 AND NOT MSVC_VERSION LESS 1930)
+            # otherwise, _ARM64_EXTENDED_INTRINSICS is defined, which defines 'mvn' macro
+            ie_add_compiler_flags(/D_ARM64_DISTINCT_NEON_TYPES)
+        endif()
+    endif()
+
+    # Handle Large Addresses
     set(CMAKE_EXE_LINKER_FLAGS "${CMAKE_EXE_LINKER_FLAGS} /LARGEADDRESSAWARE")
 
-    if (CMAKE_COMPILE_WARNING_AS_ERROR)
-        if (CMAKE_VERSION VERSION_LESS 3.24)
+    #
+    # Warnings as errors
+    #
+
+    if(CMAKE_COMPILE_WARNING_AS_ERROR)
+        if(CMAKE_VERSION VERSION_LESS 3.24)
             ie_add_compiler_flags(/WX)
         endif()
         set(CMAKE_SHARED_LINKER_FLAGS "${CMAKE_SHARED_LINKER_FLAGS} /WX")
@@ -302,26 +366,16 @@ if(WIN32)
         endif()
     endif()
 
-    if(AARCH64 AND CMAKE_CXX_COMPILER_ID STREQUAL "MSVC" AND NOT MSVC_VERSION LESS 1930)
-        # otherwise, _ARM64_EXTENDED_INTRINSICS is defined, which defines 'mvn' macro
-        ie_add_compiler_flags(-D_ARM64_DISTINCT_NEON_TYPES)
-    endif()
-
-    # Compiler specific flags
-
-    ie_add_compiler_flags(/bigobj)
-    ie_add_compiler_flags(/MP)
-
+    #
     # Disable noisy warnings
+    #
 
     if(CMAKE_CXX_COMPILER_ID STREQUAL "MSVC")
         # C4251 needs to have dll-interface to be used by clients of class
         ie_add_compiler_flags(/wd4251)
         # C4275 non dll-interface class used as base for dll-interface class
         ie_add_compiler_flags(/wd4275)
-    endif()
-
-    if(CMAKE_CXX_COMPILER_ID STREQUAL "Intel")
+    elseif(CMAKE_CXX_COMPILER_ID STREQUAL "Intel")
         # 161: unrecognized pragma
         # 177: variable was declared but never referenced
         # 556: not matched type of assigned function pointer
@@ -344,41 +398,45 @@ if(WIN32)
     string(REPLACE "/Zi" "/Z7" CMAKE_C_FLAGS_RELWITHDEBINFO "${CMAKE_C_FLAGS_RELWITHDEBINFO}")
     string(REPLACE "/Zi" "/Z7" CMAKE_CXX_FLAGS_RELWITHDEBINFO "${CMAKE_CXX_FLAGS_RELWITHDEBINFO}")
 else()
-    if(CMAKE_COMPILE_WARNING_AS_ERROR AND CMAKE_VERSION VERSION_LESS 3.24)
-        # TODO: enable for C sources as well
-        # ie_add_compiler_flags(-Werror)
-        set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Werror")
-    endif()
+    #
+    # Common enabled warnings
+    #
+
+    # allow linker eliminating the unused code and data from the final executable
     ie_add_compiler_flags(-ffunction-sections -fdata-sections)
+    # emits text showing the command-line option controlling a diagnostic
     ie_add_compiler_flags(-fdiagnostics-show-option)
-    ie_add_compiler_flags(-Wundef)
-    ie_add_compiler_flags(-Wreturn-type)
-    ie_add_compiler_flags(-Wunused-variable)
 
-    if(OV_COMPILER_IS_APPLECLANG)
-        ie_add_compiler_flags(-Wswitch)
-    else()
-        ie_add_compiler_flags(-Wuninitialized -Winit-self)
-        if(CMAKE_CXX_COMPILER_ID STREQUAL "Clang")
-            ie_add_compiler_flags(-Winconsistent-missing-override
-                                  -Wstring-plus-int)
-        else()
-            ie_add_compiler_flags(-Wmaybe-uninitialized)
-            check_cxx_compiler_flag("-Wsuggest-override" SUGGEST_OVERRIDE_SUPPORTED)
-            if(SUGGEST_OVERRIDE_SUPPORTED)
-                set(CMAKE_CXX_FLAGS "-Wsuggest-override ${CMAKE_CXX_FLAGS}")
-            endif()
-        endif()
+    # This enables all the warnings about constructions that some users consider questionable, and that are easy to avoid
+    ie_add_compiler_flags(-Wall)
+    # Warn if an undefined identifier is evaluated in an #if directive. Such identifiers are replaced with zero.
+    ie_add_compiler_flags(-Wundef)
+
+    check_cxx_compiler_flag("-Wsuggest-override" SUGGEST_OVERRIDE_SUPPORTED)
+    if(SUGGEST_OVERRIDE_SUPPORTED)
+        set(CMAKE_CXX_FLAGS "-Wsuggest-override ${CMAKE_CXX_FLAGS}")
     endif()
 
+    #
+    # Warnings as errors
+    #
+
+    if(CMAKE_COMPILE_WARNING_AS_ERROR AND CMAKE_VERSION VERSION_LESS 3.24)
+        ie_add_compiler_flags(-Werror)
+    endif()
+
+    #
     # Disable noisy warnings
+    #
 
     if(CMAKE_CXX_COMPILER_ID STREQUAL "Intel")
         # 177: function "XXX" was declared but never referenced
         ie_add_compiler_flags(-diag-disable=remark,177,2196)
     endif()
 
+    #
     # Linker flags
+    #
 
     if(APPLE)
         set(CMAKE_SHARED_LINKER_FLAGS "${CMAKE_SHARED_LINKER_FLAGS} -Wl,-dead_strip")
@@ -402,6 +460,14 @@ else()
     endif()
 endif()
 
+# if(OV_COMPILER_IS_CLANG)
+#     ie_add_compiler_flags(-Wshorten-64-to-32)
+# endif()
+# TODO
+if(OV_COMPILER_IS_CLANG)
+    ie_add_compiler_flags(-Wno-delete-non-abstract-non-virtual-dtor)
+endif()
+
 #
 # link_system_libraries(target <PUBLIC | PRIVATE | INTERFACE> <lib1 [lib2 lib3 ...]>)
 #

cmake/developer_package/features.cmake

@@ -19,16 +19,12 @@ else()
 endif()
 
 if(CI_BUILD_NUMBER)
-    set(TREAT_WARNING_AS_ERROR_DEFAULT ON)
+    set(CMAKE_COMPILE_WARNING_AS_ERROR_DEFAULT ON)
 else()
-    set(TREAT_WARNING_AS_ERROR_DEFAULT OFF)
+    set(CMAKE_COMPILE_WARNING_AS_ERROR_DEFAULT OFF)
 endif()
 
-ie_dependent_option (TREAT_WARNING_AS_ERROR "WILL BE REMOVED SOON, NEED TO FIX PRIVATE COMPONENTS" ON "X86_64 OR X86" OFF)
-
-if(NOT DEFINED CMAKE_COMPILE_WARNING_AS_ERROR)
-    set(CMAKE_COMPILE_WARNING_AS_ERROR ${TREAT_WARNING_AS_ERROR_DEFAULT})
-endif()
+ie_option (CMAKE_COMPILE_WARNING_AS_ERROR "Enable warnings as errors" ${CMAKE_COMPILE_WARNING_AS_ERROR_DEFAULT})
 
 ie_dependent_option (ENABLE_INTEGRITYCHECK "build DLLs with /INTEGRITYCHECK flag" OFF "CMAKE_CXX_COMPILER_ID STREQUAL MSVC" OFF)
 
@@ -38,7 +34,7 @@ ie_option (ENABLE_UB_SANITIZER "enable UndefinedBahavior sanitizer" OFF)
 
 ie_option (ENABLE_THREAD_SANITIZER "enable checking data races via ThreadSanitizer" OFF)
 
-ie_dependent_option (ENABLE_COVERAGE "enable code coverage" OFF "CMAKE_CXX_COMPILER_ID STREQUAL GNU OR OV_COMPILER_IS_CLANG" OFF)
+ie_dependent_option (ENABLE_COVERAGE "enable code coverage" OFF "CMAKE_COMPILER_IS_GNUCXX OR OV_COMPILER_IS_CLANG" OFF)
 
 # Defines CPU capabilities
 
@@ -48,13 +44,8 @@ ie_dependent_option (ENABLE_AVX2 "Enable AVX2 optimizations" ON "X86_64 OR (X86
 
 ie_dependent_option (ENABLE_AVX512F "Enable AVX512 optimizations" ON "X86_64 OR (X86 AND NOT EMSCRIPTEN)" OFF)
 
-if(EMSCRIPTEN)
-    set (BUILD_SHARED_LIBS_DEFAULT OFF)
-else()
-    set (BUILD_SHARED_LIBS_DEFAULT ON)
-endif()
-
 # Type of build, we add this as an explicit option to default it to ON
+get_property(BUILD_SHARED_LIBS_DEFAULT GLOBAL PROPERTY TARGET_SUPPORTS_SHARED_LIBS)
 ie_option (BUILD_SHARED_LIBS "Build as a shared library" ${BUILD_SHARED_LIBS_DEFAULT})
 
 # Android does not support SOVERSION
@@ -63,7 +54,7 @@ ie_dependent_option (ENABLE_LIBRARY_VERSIONING "Enable libraries versioning" ON
 
 ie_dependent_option (ENABLE_FASTER_BUILD "Enable build features (PCH, UNITY) to speed up build time" OFF "CMAKE_VERSION VERSION_GREATER_EQUAL 3.16" OFF)
 
-if(CMAKE_CROSSCOMPILING)
+if(CMAKE_CROSSCOMPILING OR WIN32)
     set(STYLE_CHECKS_DEFAULT OFF)
 else()
     set(STYLE_CHECKS_DEFAULT ON)

cmake/developer_package/frontends/frontends.cmake

@@ -155,11 +155,27 @@ macro(ov_add_frontend)
         list(APPEND PROTO_HDRS "${OUTPUT_PB_HEADER}")
     endforeach()
 
+    file(GLOB flatbuffers_schema_files ${frontend_root_dir}/src/schema/*.fbs)
+    foreach(INFILE IN LISTS flatbuffers_schema_files)
+        get_filename_component(FILE_WE ${INFILE} NAME_WE)
+        set(OUTPUT_FC_HEADER ${CMAKE_CURRENT_BINARY_DIR}/${FILE_WE}_generated.h)
+        set(GENERATED_PROTO ${INFILE})
+        add_custom_command(
+                OUTPUT "${OUTPUT_FC_HEADER}"
+                COMMAND ${flatbuffers_COMPILER} ARGS -c --gen-mutable -o ${CMAKE_CURRENT_BINARY_DIR} ${INFILE}
+                DEPENDS ${flatbuffers_DEPENDENCY} ${GENERATED_PROTO}
+                COMMENT "Running C++ flatbuffers compiler (${flatbuffers_COMPILER}) on ${GENERATED_PROTO}"
+                VERBATIM
+                COMMAND_EXPAND_LISTS)
+        list(APPEND PROTO_HDRS "${OUTPUT_FC_HEADER}")
+    endforeach()
+
     # Disable all warnings for generated code
     set_source_files_properties(${PROTO_SRCS} ${PROTO_HDRS} PROPERTIES COMPILE_OPTIONS -w GENERATED TRUE)
 
     # Create library
-    add_library(${TARGET_NAME} ${LIBRARY_SRC} ${LIBRARY_HEADERS} ${LIBRARY_PUBLIC_HEADERS} ${PROTO_SRCS} ${PROTO_HDRS})
+    add_library(${TARGET_NAME} ${LIBRARY_SRC} ${LIBRARY_HEADERS} ${LIBRARY_PUBLIC_HEADERS}
+        ${PROTO_SRCS} ${PROTO_HDRS} ${flatbuffers_schema_files} ${proto_files})
 
     if(OV_FRONTEND_LINKABLE_FRONTEND)
         # create beautiful alias
@@ -234,8 +250,12 @@ macro(ov_add_frontend)
         endif()
     endif()
 
+    if(flatbuffers_schema_files)
+        target_include_directories(${TARGET_NAME} SYSTEM PRIVATE ${flatbuffers_INCLUDE_DIRECTORIES})
+    endif()
+
     add_clang_format_target(${TARGET_NAME}_clang FOR_TARGETS ${TARGET_NAME}
-                            EXCLUDE_PATTERNS ${PROTO_SRCS} ${PROTO_HDRS})
+                            EXCLUDE_PATTERNS ${PROTO_SRCS} ${PROTO_HDRS} ${flatbuffers_schema_files})
 
     add_dependencies(ov_frontends ${TARGET_NAME})
 

cmake/developer_package/native_compile.cmake

@@ -0,0 +1,100 @@
+# Copyright (C) 2018-2023  Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+#
+
+include(ExternalProject)
+
+#
+# ov_native_compile_external_project(
+#      TARGET_NAME <name>
+#      NATIVE_INSTALL_DIR <source dir>
+#      NATIVE_TARGETS <target1 target2 ..>
+#      [NATIVE_SOURCE_SUBDIR <subdir>]
+#      [CMAKE_ARGS <option1 option2 ...>]
+#   )
+#
+function(ov_native_compile_external_project)
+    set(oneValueRequiredArgs NATIVE_INSTALL_DIR TARGET_NAME NATIVE_SOURCE_SUBDIR)
+    set(multiValueArgs CMAKE_ARGS NATIVE_TARGETS)
+    cmake_parse_arguments(ARG "" "${oneValueRequiredArgs};${oneValueOptionalArgs}" "${multiValueArgs}" ${ARGN})
+
+    if(YOCTO_AARCH64)
+        # need to unset several variables which can set env to cross-environment
+        foreach(var SDKTARGETSYSROOT CONFIG_SITE OECORE_NATIVE_SYSROOT OECORE_TARGET_SYSROOT
+                    OECORE_ACLOCAL_OPTS OECORE_BASELIB OECORE_TARGET_ARCH OECORE_TARGET_OS CC CXX
+                    CPP AS LD GDB STRIP RANLIB OBJCOPY OBJDUMP READELF AR NM M4 TARGET_PREFIX
+                    CONFIGURE_FLAGS CFLAGS CXXFLAGS LDFLAGS CPPFLAGS KCFLAGS OECORE_DISTRO_VERSION
+                    OECORE_SDK_VERSION ARCH CROSS_COMPILE OE_CMAKE_TOOLCHAIN_FILE OPENSSL_CONF
+                    OE_CMAKE_FIND_LIBRARY_CUSTOM_LIB_SUFFIX PKG_CONFIG_SYSROOT_DIR PKG_CONFIG_PATH)
+            if(DEFINED ENV{${var}})
+                list(APPEND cmake_env --unset=${var})
+            endif()
+        endforeach()
+
+        # filter out PATH from yocto locations
+        string(REPLACE ":" ";" custom_path "$ENV{PATH}")
+        foreach(path IN LISTS custom_path)
+            if(NOT path MATCHES "^$ENV{OECORE_NATIVE_SYSROOT}")
+                list(APPEND clean_path "${path}")
+            endif()
+        endforeach()
+
+        find_host_program(NATIVE_CMAKE_COMMAND
+                          NAMES cmake
+                          PATHS ${clean_path}
+                          DOC "Host cmake"
+                          REQUIRED
+                          NO_DEFAULT_PATH)
+    else()
+        set(NATIVE_CMAKE_COMMAND "${CMAKE_COMMAND}")
+    endif()
+
+    # if env has CMAKE_TOOLCHAIN_FILE, we need to skip it
+    if(DEFINED ENV{CMAKE_TOOLCHAIN_FILE})
+        list(APPEND cmake_env --unset=CMAKE_TOOLCHAIN_FILE)
+    endif()
+
+    # compile flags
+    if(CMAKE_COMPILER_IS_GNUCXX)
+        set(compile_flags "-Wno-undef -Wno-error -Wno-deprecated-declarations")
+    endif()
+
+    if(ARG_NATIVE_SOURCE_SUBDIR)
+        set(ARG_NATIVE_SOURCE_SUBDIR SOURCE_SUBDIR ${ARG_NATIVE_SOURCE_SUBDIR})
+    endif()
+
+    ExternalProject_Add(${ARG_TARGET_NAME}
+        # Directory Options
+        SOURCE_DIR "${CMAKE_CURRENT_SOURCE_DIR}"
+        PREFIX "${CMAKE_CURRENT_BINARY_DIR}"
+        BINARY_DIR "${CMAKE_CURRENT_BINARY_DIR}/build"
+        INSTALL_DIR "${ARG_NATIVE_INSTALL_DIR}"
+        # Configure Step Options:
+        CMAKE_COMMAND
+            ${NATIVE_CMAKE_COMMAND}
+        CMAKE_ARGS
+            "-DCMAKE_CXX_COMPILER_LAUNCHER=${CMAKE_CXX_COMPILER_LAUNCHER}"
+            "-DCMAKE_C_COMPILER_LAUNCHER=${CMAKE_C_COMPILER_LAUNCHER}"
+            "-DCMAKE_CXX_LINKER_LAUNCHER=${CMAKE_CXX_LINKER_LAUNCHER}"
+            "-DCMAKE_C_LINKER_LAUNCHER=${CMAKE_C_LINKER_LAUNCHER}"
+            "-DCMAKE_CXX_FLAGS=${compile_flags}"
+            "-DCMAKE_C_FLAGS=${compile_flags}"
+            "-DCMAKE_POLICY_DEFAULT_CMP0069=NEW"
+            "-DCMAKE_INSTALL_PREFIX=${ARG_NATIVE_INSTALL_DIR}"
+            "-DCMAKE_BUILD_TYPE=${CMAKE_BUILD_TYPE}"
+            ${ARG_CMAKE_ARGS}
+        CMAKE_GENERATOR "${CMAKE_GENERATOR}"
+        ${ARG_NATIVE_SOURCE_SUBDIR}
+        # Build Step Options:
+        BUILD_COMMAND
+            ${NATIVE_CMAKE_COMMAND}
+                --build "${CMAKE_CURRENT_BINARY_DIR}/build"
+                --config Release
+                --parallel
+                -- ${ARG_NATIVE_TARGETS}
+        # Test Step Options:
+        TEST_EXCLUDE_FROM_MAIN ON
+        # Target Options:
+        EXCLUDE_FROM_ALL ON
+    )
+endfunction()

cmake/developer_package/plugins/plugins.cmake

@@ -71,7 +71,8 @@ function(ie_add_plugin)
         if(NOT BUILD_SHARED_LIBS)
             # to distinguish functions creating plugin objects
             target_compile_definitions(${IE_PLUGIN_NAME} PRIVATE
-                IE_CREATE_PLUGIN=CreatePluginEngine${IE_PLUGIN_DEVICE_NAME})
+                IE_CREATE_PLUGIN=CreatePluginEngine${IE_PLUGIN_DEVICE_NAME}
+                OV_CREATE_PLUGIN=CreatePluginEngine${IE_PLUGIN_DEVICE_NAME})
             if(IE_PLUGIN_AS_EXTENSION)
                 # to distinguish functions creating extensions objects
                 target_compile_definitions(${IE_PLUGIN_NAME} PRIVATE
@@ -105,17 +106,6 @@ function(ie_add_plugin)
 
         add_dependencies(ov_plugins ${IE_PLUGIN_NAME})
 
-        # fake dependencies to build in the following order:
-        # OV -> OV frontends -> OV inference plugins -> OV-based apps
-        if(BUILD_SHARED_LIBS)
-            add_dependencies(${IE_PLUGIN_NAME} ov_frontends)
-
-            # TODO: remove with legacy CNNNLayer API / IR v7
-            if(TARGET inference_engine_ir_v7_reader)
-                add_dependencies(${IE_PLUGIN_NAME} inference_engine_ir_v7_reader)
-            endif()
-        endif()
-
         # install rules
         if(NOT IE_PLUGIN_SKIP_INSTALL OR NOT BUILD_SHARED_LIBS)
             string(TOLOWER "${IE_PLUGIN_DEVICE_NAME}" install_component)

cmake/developer_package/target_flags.cmake

@@ -16,9 +16,23 @@ if(WIN32 AND CMAKE_CXX_COMPILER_ID STREQUAL "GNU")
   endif()
 endif()
 
-macro(_ie_process_msvc_generator_platform flag_name)
+if(CMAKE_HOST_SYSTEM_PROCESSOR MATCHES "amd64.*|x86_64.*|AMD64.*")
+  set(arch_flag X86_64)
+elseif(CMAKE_HOST_SYSTEM_PROCESSOR MATCHES "i686.*|i386.*|x86.*|amd64.*|AMD64.*")
+  set(arch_flag X86)
+elseif(CMAKE_HOST_SYSTEM_PROCESSOR MATCHES "^(arm64.*|aarch64.*|AARCH64.*)")
+  set(arch_flag AARCH64)
+elseif(CMAKE_HOST_SYSTEM_PROCESSOR MATCHES "^(arm.*|ARM.*)")
+  set(arch_flag ARM)
+elseif(CMAKE_HOST_SYSTEM_PROCESSOR MATCHES "^riscv64$")
+  set(arch_flag RISCV64)
+endif()
+
+set(HOST_${arch_flag} ON)
+
+macro(_ie_process_msvc_generator_platform arch_flag)
   # if cmake -A <ARM|ARM64> is passed
-  if(CMAKE_GENERATOR_PLATFORM STREQUAL "ARM64")
+  if(CMAKE_GENERATOR_PLATFORM STREQUAL "ARM64" OR CMAKE_SYSTEM_PROCESSOR STREQUAL "ARM64")
     set(AARCH64 ON)
   elseif(CMAKE_GENERATOR_PLATFORM STREQUAL "ARM")
     set(ARM ON)
@@ -27,14 +41,14 @@ macro(_ie_process_msvc_generator_platform flag_name)
   elseif(CMAKE_GENERATOR_PLATFORM STREQUAL "Win32")
     set(X86 ON)
   else()
-    set(${flag_name} ON)
+    set(${arch_flag} ON)
   endif()
 endmacro()
 
 if(MSVC64 OR MINGW64)
-  _ie_process_msvc_generator_platform(X86_64)
+  _ie_process_msvc_generator_platform(${arch_flag})
 elseif(MINGW OR (MSVC AND NOT CMAKE_CROSSCOMPILING))
-  _ie_process_msvc_generator_platform(X86)
+  _ie_process_msvc_generator_platform(${arch_flag})
 elseif(CMAKE_OSX_ARCHITECTURES AND APPLE)
   if(CMAKE_OSX_ARCHITECTURES STREQUAL "arm64")
     set(AARCH64 ON)
@@ -49,7 +63,7 @@ elseif(CMAKE_SYSTEM_PROCESSOR MATCHES "amd64.*|x86_64.*|AMD64.*")
   set(X86_64 ON)
 elseif(CMAKE_SYSTEM_PROCESSOR MATCHES "i686.*|i386.*|x86.*|amd64.*|AMD64.*")
   set(X86 ON)
-elseif(CMAKE_SYSTEM_PROCESSOR MATCHES "^(arm64.*|aarch64.*|AARCH64.*)")
+elseif(CMAKE_SYSTEM_PROCESSOR MATCHES "^(arm64.*|aarch64.*|AARCH64.*|ARM64.*)")
   set(AARCH64 ON)
 elseif(CMAKE_SYSTEM_PROCESSOR MATCHES "^(arm.*|ARM.*)")
   set(ARM ON)
@@ -57,18 +71,6 @@ elseif(CMAKE_SYSTEM_PROCESSOR MATCHES "^riscv64$")
   set(RISCV64 ON)
 endif()
 
-if(CMAKE_HOST_SYSTEM_PROCESSOR MATCHES "amd64.*|x86_64.*|AMD64.*")
-  set(HOST_X86_64 ON)
-elseif(CMAKE_HOST_SYSTEM_PROCESSOR MATCHES "i686.*|i386.*|x86.*|amd64.*|AMD64.*")
-  set(HOST_X86 ON)
-elseif(CMAKE_HOST_SYSTEM_PROCESSOR MATCHES "^(arm64.*|aarch64.*|AARCH64.*)")
-  set(HOST_AARCH64 ON)
-elseif(CMAKE_HOST_SYSTEM_PROCESSOR MATCHES "^(arm.*|ARM.*)")
-  set(HOST_ARM ON)
-elseif(CMAKE_HOST_SYSTEM_PROCESSOR MATCHES "^riscv64$")
-  set(HOST_RISCV64 ON)
-endif()
-
 if(CMAKE_SYSTEM_NAME STREQUAL "Emscripten")
     set(EMSCRIPTEN ON)
 endif()

cmake/extra_modules.cmake

@@ -93,7 +93,6 @@ function(register_extra_modules)
         file(REMOVE "${devconfig_file}")
 
         file(WRITE "${devconfig_file}" "\# !! AUTOGENERATED: DON'T EDIT !!\n\n")
-        file(APPEND "${devconfig_file}" "ie_deprecated_no_errors()\n")
 
         foreach(target IN LISTS ${openvino_export_components})
             if(target)
@@ -124,6 +123,17 @@ endif()\n")
     endif()
     list(APPEND extra_modules "${OpenVINO_SOURCE_DIR}/src/core/template_extension")
 
+    # add extra flags for compilation of extra modules:
+    # since not all extra modules use OpenVINODeveloperPackage, we have to add these function calls here
+    ov_dev_package_no_errors()
+    ov_deprecated_no_errors()
+
+    if(CMAKE_CXX_COMPILER_ID STREQUAL "MSVC")
+        # 'argument': conversion from 'size_t' to 'int', possible loss of data
+        ie_add_compiler_flags(/wd4267)
+        ie_add_compiler_flags(/wd4244)
+    endif()
+
     # add each extra module
     foreach(module_path IN LISTS extra_modules)
         if(module_path)

cmake/features.cmake

@@ -14,11 +14,9 @@ ie_option (ENABLE_COMPILE_TOOL "Enables compile_tool" ON)
 
 ie_option (ENABLE_STRICT_DEPENDENCIES "Skip configuring \"convinient\" dependencies for efficient parallel builds" ON)
 
-ie_dependent_option (ENABLE_CLDNN "clDnn based plugin for OpenVINO Runtime" ON "X86_64;NOT APPLE;NOT MINGW;NOT WINDOWS_STORE;NOT WINDOWS_PHONE" OFF)
-ie_dependent_option (ENABLE_INTEL_GPU "GPU plugin for OpenVINO Runtime on Intel GPU" ON "ENABLE_CLDNN" OFF)
+ie_dependent_option (ENABLE_INTEL_GPU "GPU OpenCL-based plugin for OpenVINO Runtime" ON "X86_64;NOT APPLE;NOT MINGW;NOT WINDOWS_STORE;NOT WINDOWS_PHONE" OFF)
 
-if (NOT ENABLE_CLDNN OR ANDROID OR
-    (CMAKE_COMPILER_IS_GNUCXX AND CMAKE_CXX_COMPILER_VERSION VERSION_LESS 7.0))
+if (ANDROID OR (CMAKE_COMPILER_IS_GNUCXX AND CMAKE_CXX_COMPILER_VERSION VERSION_LESS 7.0))
     # oneDNN doesn't support old compilers and android builds for now, so we'll
     # build GPU plugin without oneDNN
     set(ENABLE_ONEDNN_FOR_GPU_DEFAULT OFF)
@@ -26,7 +24,7 @@ else()
     set(ENABLE_ONEDNN_FOR_GPU_DEFAULT ON)
 endif()
 
-ie_option (ENABLE_ONEDNN_FOR_GPU "Enable oneDNN with GPU support" ${ENABLE_ONEDNN_FOR_GPU_DEFAULT})
+ie_dependent_option (ENABLE_ONEDNN_FOR_GPU "Enable oneDNN with GPU support" ${ENABLE_ONEDNN_FOR_GPU_DEFAULT} "ENABLE_INTEL_GPU" OFF)
 
 ie_option (ENABLE_PROFILING_ITT "Build with ITT tracing. Optionally configure pre-built ittnotify library though INTEL_VTUNE_DIR variable." OFF)
 
@@ -79,13 +77,7 @@ ie_dependent_option (ENABLE_INTEL_GNA "GNA support for OpenVINO Runtime" ON
 
 ie_option (ENABLE_INTEL_GNA_DEBUG "GNA debug build" OFF)
 
-if(ENABLE_TESTS OR BUILD_SHARED_LIBS)
-    set(ENABLE_IR_V7_READER_DEFAULT ON)
-else()
-    set(ENABLE_IR_V7_READER_DEFAULT OFF)
-endif()
-
-ie_option (ENABLE_IR_V7_READER "Enables IR v7 reader" ${ENABLE_IR_V7_READER_DEFAULT})
+ie_dependent_option (ENABLE_IR_V7_READER "Enables IR v7 reader" ${BUILD_SHARED_LIBS} "ENABLE_TESTS;ENABLE_INTEL_GNA" OFF)
 
 ie_option (ENABLE_GAPI_PREPROCESSING "Enables G-API preprocessing" ON)
 
@@ -98,9 +90,7 @@ ie_option (ENABLE_HETERO "Enables Hetero Device Plugin" ON)
 
 ie_option (ENABLE_TEMPLATE "Enable template plugin" ON)
 
-ie_dependent_option (ENABLE_GAPI_TESTS "tests for GAPI kernels" ON "ENABLE_GAPI_PREPROCESSING;ENABLE_TESTS" OFF)
-
-ie_dependent_option (GAPI_TEST_PERF "if GAPI unit tests should examine performance" OFF "ENABLE_GAPI_TESTS" OFF)
+ie_dependent_option (GAPI_TEST_PERF "if GAPI unit tests should examine performance" OFF "ENABLE_TESTS;ENABLE_GAPI_PREPROCESSING" OFF)
 
 ie_dependent_option (ENABLE_DATA "fetch models from testdata repo" ON "ENABLE_FUNCTIONAL_TESTS;NOT ANDROID" OFF)
 
@@ -120,7 +110,7 @@ ie_dependent_option(ENABLE_TBB_RELEASE_ONLY "Only Release TBB libraries are link
 
 if(CMAKE_HOST_LINUX AND LINUX)
     # Debian packages are enabled on Ubuntu systems
-    # so, system TBB / pugixml can be tried for usage
+    # so, system TBB / pugixml / OpenCL can be tried for usage
     set(ENABLE_SYSTEM_LIBS_DEFAULT ON)
 else()
     set(ENABLE_SYSTEM_LIBS_DEFAULT OFF)
@@ -133,6 +123,7 @@ else()
     set(ENABLE_SYSTEM_TBB_DEFAULT ${ENABLE_SYSTEM_LIBS_DEFAULT})
 endif()
 
+# users wants to use his own TBB version, specific either via env vars or cmake options
 if(DEFINED ENV{TBBROOT} OR DEFINED ENV{TBB_DIR} OR DEFINED TBB_DIR OR DEFINED TBBROOT)
     set(ENABLE_SYSTEM_TBB_DEFAULT OFF)
 endif()
@@ -142,6 +133,8 @@ ie_dependent_option (ENABLE_SYSTEM_PUGIXML "use the system copy of pugixml" ${EN
 
 ie_dependent_option (ENABLE_SYSTEM_TBB  "use the system version of TBB" ${ENABLE_SYSTEM_TBB_DEFAULT} "THREADING MATCHES TBB" OFF)
 
+ie_dependent_option (ENABLE_SYSTEM_OPENCL "Use the system version of OpenCL" ${ENABLE_SYSTEM_LIBS_DEFAULT} "BUILD_SHARED_LIBS;ENABLE_INTEL_GPU" OFF)
+
 ie_option (ENABLE_DEBUG_CAPS "enable OpenVINO debug capabilities at runtime" OFF)
 
 ie_dependent_option (ENABLE_GPU_DEBUG_CAPS "enable GPU debug capabilities at runtime" ON "ENABLE_DEBUG_CAPS" OFF)
@@ -151,11 +144,15 @@ ie_dependent_option (ENABLE_CPU_DEBUG_CAPS "enable CPU debug capabilities at run
 find_host_package(PythonInterp 3 QUIET)
 ie_option(ENABLE_OV_ONNX_FRONTEND "Enable ONNX FrontEnd" ${PYTHONINTERP_FOUND})
 ie_option(ENABLE_OV_PADDLE_FRONTEND "Enable PaddlePaddle FrontEnd" ON)
+ie_option(ENABLE_OV_IR_FRONTEND "Enable IR FrontEnd" ON)
 ie_option(ENABLE_OV_PYTORCH_FRONTEND "Enable PyTorch FrontEnd" ON)
 ie_option(ENABLE_OV_TF_FRONTEND "Enable TensorFlow FrontEnd" ON)
+ie_option(ENABLE_OV_TF_LITE_FRONTEND "Enable TensorFlow Lite FrontEnd" ON)
 ie_dependent_option(ENABLE_SYSTEM_PROTOBUF "Use system protobuf" OFF
     "ENABLE_OV_ONNX_FRONTEND OR ENABLE_OV_PADDLE_FRONTEND OR ENABLE_OV_TF_FRONTEND;BUILD_SHARED_LIBS" OFF)
 ie_option(ENABLE_OV_IR_FRONTEND "Enable IR FrontEnd" ON)
+ie_dependent_option(ENABLE_SYSTEM_FLATBUFFERS "Use system flatbuffers" ON
+    "ENABLE_OV_TF_LITE_FRONTEND" OFF)
 
 ie_dependent_option(ENABLE_OV_CORE_UNIT_TESTS "Enables OpenVINO core unit tests" ON "ENABLE_TESTS" OFF)
 ie_option(ENABLE_OPENVINO_DEBUG "Enable output for OPENVINO_DEBUG statements" OFF)
@@ -178,8 +175,4 @@ if (ENABLE_PROFILING_RAW)
     add_definitions(-DENABLE_PROFILING_RAW=1)
 endif()
 
-if (ENABLE_INTEL_CPU)
-    add_definitions(-DENABLE_INTEL_CPU=1)
-endif()
-
 print_enabled_features()

cmake/packaging/copyrights/generic

@@ -760,3 +760,8 @@ Files: \thirdparty\*
 Comment: onnx
 Copyright: authors
 License: Apache
+
+Files: *
+Comment: FlatBuffers
+Copyright: Copyright 2014-2022 Google Inc. All rights reserved.
+License: Apache

cmake/packaging/debian.cmake

@@ -90,8 +90,9 @@ macro(ov_cpack_settings)
         # 2022 release series
         # - 2022.1.0 is the last public release with debian packages from Intel install team
         # - 2022.1.1, 2022.2 do not have debian packages enabled, distributed only as archives
-        # - 2022.3 is the first release where Debian updated packages are introduced
-        2022.3.0)
+        # - 2022.3 is the first release where Debian updated packages are introduced, others 2022.3.X are LTS
+        2022.3.0 2022.3.1 2022.3.2 2022.3.3 2022.3.4 2022.3.5
+        )
 
     #
     # core: base dependency for each component
@@ -274,6 +275,19 @@ macro(ov_cpack_settings)
         set(pytorch_copyright "generic")
     endif()
 
+    if(ENABLE_OV_TF_LITE_FRONTEND)
+        set(CPACK_COMPONENT_TENSORFLOW_LITE_DESCRIPTION "OpenVINO TensorFlow Lite Frontend")
+        set(CPACK_COMPONENT_TENSORFLOW_LITE_DEPENDS "${OV_CPACK_COMP_CORE}")
+        set(CPACK_DEBIAN_TENSORFLOW_LITE_PACKAGE_NAME "libopenvino-tensorflow-lite-frontend-${cpack_name_ver}")
+        # since we TF Lite FE is linkable target, we need to call ldconfig (i.e. `def_triggers`)
+        set(CPACK_DEBIAN_TENSORFLOW_LITE_PACKAGE_CONTROL_EXTRA "${def_postinst};${def_postrm};${def_triggers}")
+        ov_debian_add_lintian_suppression(tensorflow_lite
+            # we have different package name strategy; it suggests libopenvino-tensorflow-lite-frontend202230
+            "package-name-doesnt-match-sonames")
+        list(APPEND frontends tensorflow_lite)
+        set(tensorflow_lite_copyright "generic")
+    endif()
+
     #
     # core_dev: depends on core and frontends (since frontends don't want to provide its own dev packages)
     #
@@ -321,22 +335,23 @@ macro(ov_cpack_settings)
 
     set(samples_build_deps "cmake, g++, gcc, libc6-dev, make, pkg-config")
     set(samples_build_deps_suggest "libopencv-core-dev, libopencv-imgproc-dev, libopencv-imgcodecs-dev")
-    if(OV_GLIBC_VERSION VERSION_LESS_EQUAL 2.27)
-        # Ubuntu 18.04, Debian 9 cases
-        set(json_library "nlohmann-json-dev")
-    else()
-        set(json_library "nlohmann-json3-dev")
-    endif()
+    set(samples_opencl_suggest "ocl-icd-opencl-dev, opencl-headers")
+    # Ubuntu 18.04, Debian 9 cases have nlohmann-json-dev
+    # newer systems have nlohmann-json3-dev
+    # according to https://www.debian.org/doc/debian-policy/ch-relationships.html#syntax-of-relationship-fields
+    # we can use | (pipe) to provide alternative package names
+    set(json_library "nlohmann-json3-dev | nlohmann-json-dev")
 
     # c_samples / cpp_samples
     set(CPACK_COMPONENT_SAMPLES_DESCRIPTION "Intel(R) Distribution of OpenVINO(TM) Toolkit C / C++ Samples")
     set(CPACK_COMPONENT_SAMPLES_DEPENDS "${OV_CPACK_COMP_CORE_DEV}")
     set(CPACK_DEBIAN_SAMPLES_PACKAGE_NAME "openvino-samples-${cpack_name_ver}")
-    set(CPACK_DEBIAN_SAMPLES_PACKAGE_SUGGESTS "${samples_build_deps_suggest}, ${all_plugins_suggest}")
+    set(CPACK_DEBIAN_SAMPLES_PACKAGE_SUGGESTS "${samples_build_deps_suggest}, ${samples_opencl_suggest}, ${all_plugins_suggest}")
     set(CPACK_DEBIAN_SAMPLES_PACKAGE_DEPENDS "libgflags-dev, zlib1g-dev, ${json_library}")
     # can be skipped with --no-install-recommends
     set(CPACK_DEBIAN_SAMPLES_PACKAGE_RECOMMENDS "${samples_build_deps}")
     set(CPACK_DEBIAN_SAMPLES_PACKAGE_ARCHITECTURE "all")
+    ov_debian_generate_conflicts(${OV_CPACK_COMP_CPP_SAMPLES} ${conflicting_versions})
     set(samples_copyright "generic")
 
     # python_samples

cmake/packaging/rpm.cmake

@@ -76,8 +76,8 @@ macro(ov_cpack_settings)
         # 2022 release series
         # - 2022.1.0 is the last public release with rpm packages from Intel install team
         # - 2022.1.1, 2022.2 do not have rpm packages enabled, distributed only as archives
-        # - 2022.3 is the first release where RPM updated packages are introduced
-        2022.3.0
+        # - 2022.3 is the first release where RPM updated packages are introduced, others 2022.3.X are LTS
+        2022.3.0 2022.3.1 2022.3.2 2022.3.3 2022.3.4 2022.3.5
         )
 
     find_host_program(rpmlint_PROGRAM NAMES rpmlint DOC "Path to rpmlint")
@@ -235,6 +235,15 @@ macro(ov_cpack_settings)
         set(pytorch_copyright "generic")
     endif()
 
+    if(ENABLE_OV_TF_LITE_FRONTEND)
+        set(CPACK_COMPONENT_TENSORFLOW_LITE_DESCRIPTION "OpenVINO TensorFlow Lite Frontend")
+        set(CPACK_RPM_TENSORFLOW_LITE_PACKAGE_NAME "libopenvino-tensorflow-lite-frontend-${cpack_name_ver}")
+        set(CPACK_RPM_TENSORFLOW_LITE_POST_INSTALL_SCRIPT_FILE "${def_triggers}")
+        set(CPACK_RPM_TENSORFLOW_LITE_POST_UNINSTALL_SCRIPT_FILE "${def_triggers}")
+        _ov_add_package(frontend_packages tensorflow_lite)
+        set(tensorflow_lite_copyright "generic")
+    endif()
+
     #
     # core_dev: depends on core and frontends (since frontends don't want to provide its own dev packages)
     #
@@ -277,6 +286,7 @@ macro(ov_cpack_settings)
 
     set(samples_build_deps "cmake3, gcc-c++, gcc, glibc-devel, make, pkgconf-pkg-config")
     set(samples_build_deps_suggest "opencv-devel >= 3.0")
+    set(samples_opencl_deps_suggest "ocl-icd-devel, opencl-headers")
 
     # c_samples / cpp_samples
     set(CPACK_COMPONENT_SAMPLES_DESCRIPTION "Intel(R) Distribution of OpenVINO(TM) Toolkit C / C++ Samples")
@@ -284,9 +294,10 @@ macro(ov_cpack_settings)
     set(samples_package "${CPACK_RPM_SAMPLES_PACKAGE_NAME} = ${cpack_full_ver}")
     # SUGGESTS may be unsupported, it's part of RPM 4.12.0 (Sep 16th 2014) only
     # see https://rpm.org/timeline.html
-    set(CPACK_RPM_SAMPLES_PACKAGE_SUGGESTS "${samples_build_deps_suggest}, ${plugin_packages}")
+    set(CPACK_RPM_SAMPLES_PACKAGE_SUGGESTS "${samples_build_deps_suggest}, ${samples_opencl_deps_suggest}, ${plugin_packages}")
     set(CPACK_RPM_SAMPLES_PACKAGE_REQUIRES "${core_dev_package}, ${samples_build_deps}, gflags-devel, json-devel, zlib-devel")
     set(CPACK_RPM_SAMPLES_PACKAGE_ARCHITECTURE "noarch")
+    ov_rpm_generate_conflicts(${OV_CPACK_COMP_CPP_SAMPLES} ${conflicting_versions})
 
     ov_rpm_add_rpmlint_suppression("${OV_CPACK_COMP_CPP_SAMPLES}"
         # contains samples source codes

cmake/templates/InferenceEngineDeveloperPackageConfig.cmake.in

@@ -151,13 +151,8 @@ endif()
 # Extra Compile Flags
 #
 
-if(CMAKE_COMPILER_IS_GNUCXX)
-    ie_add_compiler_flags(-Wno-error=unused-variable)
-    ie_add_compiler_flags(-Wno-error=unused-but-set-variable)
-    if(SUGGEST_OVERRIDE_SUPPORTED)
-        set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-suggest-override")
-    endif()
-endif()
+# don't fail on strict compilation options in 3rd party modules
+ov_dev_package_no_errors()
 
 # Don't threat deprecated API warnings as errors in 3rd party apps
-ie_deprecated_no_errors()
+ov_deprecated_no_errors()

cmake/templates/OpenVINOConfig.cmake.in

@@ -14,6 +14,7 @@
 #  * `Paddle`: OpenVINO Paddle frontend
 #  * `PyTorch`: OpenVINO PyTorch frontend
 #  * `TensorFlow`: OpenVINO TensorFlow frontend
+#  * `TensorFlowLite`: OpenVINO TensorFlow Lite frontend
 #
 # If no components are specified, `Runtime` component is provided:
 #
@@ -48,6 +49,9 @@
 #   `openvino::frontend::tensorflow`
 #   TensorFlow FrontEnd target (optional)
 #
+#   `openvino::frontend::tensorflow_lite`
+#   TensorFlow Lite FrontEnd target (optional)
+#
 # Result variables:
 # ------
 #
@@ -71,6 +75,9 @@
 #   `OpenVINO_Frontend_TensorFlow_FOUND`
 #   OpenVINO TensorFlow frontend is available
 #
+#   `OpenVINO_Frontend_TensorFlowLite_FOUND`
+#   OpenVINO TensorFlow Lite frontend is available
+#
 #   `OpenVINO_Frontend_IR_FOUND`
 #   OpenVINO IR frontend is available
 #
@@ -299,12 +306,14 @@ set(${CMAKE_FIND_PACKAGE_NAME}_Runtime_FOUND ON)
 set(${CMAKE_FIND_PACKAGE_NAME}_ONNX_FOUND @ENABLE_OV_ONNX_FRONTEND@)
 set(${CMAKE_FIND_PACKAGE_NAME}_Paddle_FOUND @ENABLE_OV_PADDLE_FRONTEND@)
 set(${CMAKE_FIND_PACKAGE_NAME}_TensorFlow_FOUND @ENABLE_OV_TF_FRONTEND@)
+set(${CMAKE_FIND_PACKAGE_NAME}_TensorFlowLite_FOUND @ENABLE_OV_TF_LITE_FRONTEND@)
 set(${CMAKE_FIND_PACKAGE_NAME}_IR_FOUND @ENABLE_OV_IR_FRONTEND@)
 set(${CMAKE_FIND_PACKAGE_NAME}_PyTorch_FOUND @ENABLE_OV_PYTORCH_FRONTEND@)
 
 set(${CMAKE_FIND_PACKAGE_NAME}_Frontend_ONNX_FOUND ${${CMAKE_FIND_PACKAGE_NAME}_ONNX_FOUND})
 set(${CMAKE_FIND_PACKAGE_NAME}_Frontend_Paddle_FOUND ${${CMAKE_FIND_PACKAGE_NAME}_Paddle_FOUND})
 set(${CMAKE_FIND_PACKAGE_NAME}_Frontend_TensorFlow_FOUND ${${CMAKE_FIND_PACKAGE_NAME}_TensorFlow_FOUND})
+set(${CMAKE_FIND_PACKAGE_NAME}_Frontend_TensorFlowLite_FOUND ${${CMAKE_FIND_PACKAGE_NAME}_TensorFlowLite_FOUND})
 set(${CMAKE_FIND_PACKAGE_NAME}_Frontend_IR_FOUND ${${CMAKE_FIND_PACKAGE_NAME}_IR_FOUND})
 set(${CMAKE_FIND_PACKAGE_NAME}_Frontend_PyTorch_FOUND ${${CMAKE_FIND_PACKAGE_NAME}_PyTorch_FOUND})
 

cmake/templates/OpenVINODeveloperPackageConfig.cmake.in

@@ -123,13 +123,8 @@ endif()
 # Extra Compile Flags
 #
 
-if(CMAKE_COMPILER_IS_GNUCXX)
-    ie_add_compiler_flags(-Wno-error=unused-variable)
-    ie_add_compiler_flags(-Wno-error=unused-but-set-variable)
-    if(SUGGEST_OVERRIDE_SUPPORTED)
-        set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-suggest-override")
-    endif()
-endif()
+# don't fail on strict compilation options in 3rd party modules
+ov_dev_package_no_errors()
 
 # Don't threat deprecated API warnings as errors in 3rd party apps
-ie_deprecated_no_errors()
+ov_deprecated_no_errors()

docs/Documentation/model_introduction.md

@@ -22,7 +22,7 @@ The approach to fully convert a model is considered the default choice, as it al
 
 Conversion is not required for ONNX and PaddlePaddle models, as OpenVINO provides C++ and Python APIs for importing them to OpenVINO Runtime directly. It provides a convenient way to quickly switch from framework-based code to OpenVINO-based code in your inference application.
 
-This section describes the how to obtain and prepare your model for work with OpenVINO to get the best inference results:
+This section describes how to obtain and prepare your model for work with OpenVINO to get the best inference results:
 * [See the supported formats and how to use them in your project](../MO_DG/prepare_model/convert_model/supported_model_formats.md)
 * [Convert different model formats to the OpenVINO IR format](../MO_DG/Deep_Learning_Model_Optimizer_DevGuide.md).
 * [Automate model-related tasks with Model Downloader and additional OMZ Tools](https://docs.openvino.ai/latest/omz_tools_downloader.html).

docs/Doxyfile.config

@@ -833,17 +833,9 @@ INPUT                  = "@MARKDOWN_INPUT@" \
                          "@OpenVINO_SOURCE_DIR@/src/frontends/common/include/" \
                          "@OpenVINO_SOURCE_DIR@/src/common/conditional_compilation/include/" \
                          "@OpenVINO_SOURCE_DIR@/src/common/itt/include/" \
-                         "@OpenVINO_SOURCE_DIR@/src/common/legacy/include/" \
-                         "@OpenVINO_SOURCE_DIR@/src/common/legacy/include/" \
                          "@OpenVINO_SOURCE_DIR@/src/common/low_precision_transformations/include/" \
                          "@OpenVINO_SOURCE_DIR@/src/common/low_precision_transformations/include/" \
                          "@OpenVINO_SOURCE_DIR@/src/common/offline_transformations/include/" \
-                         "@OpenVINO_SOURCE_DIR@/src/common/preprocessing/" \
-                         "@OpenVINO_SOURCE_DIR@/src/common/preprocessing/arm_neon/" \
-                         "@OpenVINO_SOURCE_DIR@/src/common/preprocessing/cpu_x86_avx2/" \
-                         "@OpenVINO_SOURCE_DIR@/src/common/preprocessing/cpu_x86_avx512/" \
-                         "@OpenVINO_SOURCE_DIR@/src/common/preprocessing/cpu_x86_sse42/" \
-                         "@OpenVINO_SOURCE_DIR@/src/common/snippets/include/" \
                          "@OpenVINO_SOURCE_DIR@/src/common/transformations/include/" \
                          "@OpenVINO_SOURCE_DIR@/src/common/util/include/" \
                          "@OpenVINO_SOURCE_DIR@/src/core/include/" \

docs/IE_PLUGIN_DG/ExecutableNetwork.md

@@ -12,7 +12,7 @@
 
 Inference Engine Plugin API provides the helper InferenceEngine::ExecutableNetworkThreadSafeDefault class recommended to use as a base class for an executable network. Based on that, a declaration of an executable network class can look as follows: 
 
-@snippet src/template_executable_network.hpp executable_network:header
+@snippet src/compiled_model.hpp executable_network:header
 
 #### Class Fields
 
@@ -29,7 +29,7 @@ The example class has several fields:
 
 This constructor accepts a generic representation of a neural network as an InferenceEngine::ICNNNetwork reference and is compiled into a backend specific device graph:
 
-@snippet src/template_executable_network.cpp executable_network:ctor_cnnnetwork
+@snippet src/compiled_model.cpp executable_network:ctor_cnnnetwork
 
 The implementation `CompileNetwork` is fully device-specific.
 
@@ -41,7 +41,7 @@ The function accepts a const shared pointer to `ngraph::Function` object and per
 2. Maps the transformed graph to a backend specific graph representation (for example, to CPU plugin internal graph representation).
 3. Allocates and fills memory for graph weights, backend specific memory handles and so on.
 
-@snippet src/template_executable_network.cpp executable_network:map_graph
+@snippet src/compiled_model.cpp executable_network:map_graph
 
 > **NOTE**: After all these steps, the backend specific graph is ready to create inference requests and perform inference.
 
@@ -51,13 +51,11 @@ This constructor creates a backend specific graph by importing from a stream obj
 
 > **NOTE**: The export of backend specific graph is done in the `Export` method, and data formats must be the same for both import and export.
 
-@snippet src/template_executable_network.cpp executable_network:ctor_import_stream
-
 ### `Export()`
 
 The implementation of the method should write all data to the `model` stream, which is required to import a backend specific graph later in the `Plugin::Import` method:
 
-@snippet src/template_executable_network.cpp executable_network:export
+@snippet src/compiled_model.cpp executable_network:export
 
 ### `CreateInferRequest()`
 
@@ -69,13 +67,7 @@ The method creates an asynchronous inference request and returns it. While the p
    - For pipelines with multiple stages, such as performing some preprocessing on host, uploading input data to a device, running inference on a device, or downloading and postprocessing output data, schedule stages on several task executors to achieve better device use and performance. You can do it by creating a sufficient number of inference requests running in parallel. In this case, device stages of different inference requests are overlapped with preprocessing and postprocessing stage giving better performance.
    > **IMPORTANT**: It is up to you to decide how many task executors you need to optimally execute a device pipeline.
 
-@snippet src/template_executable_network.cpp executable_network:create_infer_request
-
-### `CreateInferRequestImpl()`
-
-This is a helper method used by `CreateInferRequest` to create a [synchronous inference request](@ref openvino_docs_ie_plugin_dg_infer_request), which is later wrapped with the asynchronous inference request class:
-
-@snippet src/template_executable_network.cpp executable_network:create_infer_request_impl
+@snippet src/compiled_model.cpp executable_network:create_infer_request
 
 ### `GetMetric()`
 
@@ -83,9 +75,7 @@ Returns a metric value for a metric with the name `name`.  A metric is a static
 
 - EXEC_NETWORK_METRIC_KEY(NETWORK_NAME) - name of an executable network
 - EXEC_NETWORK_METRIC_KEY(OPTIMAL_NUMBER_OF_INFER_REQUESTS) - heuristic to denote an optimal (or at least sub-optimal) number of inference requests needed to run asynchronously to use the current device fully
-- Any other executable network metric specific for a particular device. Such metrics and possible values must be declared in a plugin configuration public header, for example, `template/template_config.hpp`
-
-@snippet src/template_executable_network.cpp executable_network:get_metric
+- Any other executable network metric specific for a particular device. Such metrics and possible values must be declared in a plugin configuration public header, for example, `template/config.hpp`
 
 The IE_SET_METRIC_RETURN helper macro sets metric value and checks that the actual metric type matches a type of the specified value.
 
@@ -93,7 +83,7 @@ The IE_SET_METRIC_RETURN helper macro sets metric value and checks that the actu
 
 Returns a current value for a configuration key with the name `name`. The method extracts configuration values an executable network is compiled with.
 
-@snippet src/template_executable_network.cpp executable_network:get_config
+@snippet src/compiled_model.cpp executable_network:get_config
 
 This function is the only way to get configuration values when a network is imported and compiled by other developers and tools (for example, the [Compile tool](@ref openvino_inference_engine_tools_compile_tool_README).
 

docs/IE_PLUGIN_DG/Plugin.md

@@ -24,7 +24,7 @@ Plugin Class
 Inference Engine Plugin API provides the helper InferenceEngine::IInferencePlugin class recommended to use as a base class for a plugin.
 Based on that, declaration of a plugin class can look as follows:
 
-@snippet template/src/template_plugin.hpp plugin:header
+@snippet template/src/plugin.hpp plugin:header
 
 #### Class Fields
 
@@ -52,7 +52,7 @@ must be thrown from a plugin constructor.
 
 A plugin must define a device name enabled via the `_pluginName` field of a base class:
 
-@snippet template/src/template_plugin.cpp plugin:ctor
+@snippet template/src/plugin.cpp plugin:ctor
 
 ### `LoadExeNetworkImpl()`
 
@@ -62,7 +62,7 @@ of the public InferenceEngine::IInferencePlugin::LoadNetwork method that calls p
 This is the most important function of the `Plugin` class and creates an instance of compiled `ExecutableNetwork`,
 which holds a backend-dependent compiled graph in an internal representation:
 
-@snippet template/src/template_plugin.cpp plugin:load_exe_network_impl
+@snippet template/src/plugin.cpp plugin:load_exe_network_impl
 
 Before a creation of an `ExecutableNetwork` instance via a constructor, a plugin may check if a provided 
 InferenceEngine::ICNNNetwork object is supported by a device. In the example above, the plugin checks precision information.
@@ -84,7 +84,7 @@ The function accepts a const shared pointer to `ov::Model` object and performs t
     * [Intermediate Representation and Operation Sets](@ref openvino_docs_MO_DG_IR_and_opsets)
     * [Quantized networks](@ref openvino_docs_ie_plugin_dg_quantized_networks).
 
-@snippet template/src/template_plugin.cpp plugin:transform_network
+@snippet template/src/plugin.cpp plugin:transform_network
 
 > **NOTE**: After all these transformations, a `ov::Model` object contains operations which can be perfectly mapped to backend kernels. E.g. if backend has kernel computing `A + B` operations at once, the `TransformNetwork` function should contain a pass which fuses operations `A` and `B` into a single custom operation `A + B` which fits backend kernels set.
 
@@ -100,20 +100,13 @@ operations via the InferenceEngine::QueryNetworkResult structure. The `QueryNetw
 3. Construct `supported` and `unsupported` maps which contains names of original operations. Note, that since the inference is performed using OpenVINO™ reference backend, the decision whether the operation is supported or not depends on whether the latest OpenVINO opset contains such operation.
 4. `QueryNetworkResult.supportedLayersMap` contains only operations which are fully supported by `_backend`.
 
-@snippet template/src/template_plugin.cpp plugin:query_network
-
-### `AddExtension()`
-
-Adds an extension of the InferenceEngine::IExtensionPtr type to a plugin. If a plugin does not 
-support extensions, the method must throw an exception:
-
-@snippet template/src/template_plugin.cpp plugin:add_extension
+@snippet template/src/plugin.cpp plugin:query_network
 
 ### `SetConfig()`
 
 Sets new values for plugin configuration keys:
 
-@snippet template/src/template_plugin.cpp plugin:set_config
+@snippet template/src/plugin.cpp plugin:set_config
 
 In the snippet above, the `Configuration` class overrides previous configuration values with the new 
 ones. All these values are used during backend specific graph compilation and execution of inference requests.
@@ -124,7 +117,7 @@ ones. All these values are used during backend specific graph compilation and ex
 
 Returns a current value for a specified configuration key:
 
-@snippet template/src/template_plugin.cpp plugin:get_config
+@snippet template/src/plugin.cpp plugin:get_config
 
 The function is implemented with the `Configuration::Get` method, which wraps an actual configuration 
 key value to the InferenceEngine::Parameter and returns it.
@@ -148,15 +141,13 @@ affects their behavior during a backend specific graph compilation or an inferen
 - METRIC_KEY(OPTIMIZATION_CAPABILITIES) - list of optimization capabilities of a device.
 For example, supported data types and special optimizations for them.
 - Any other device-specific metrics. In this case, place metrics declaration and possible values to 
-a plugin-specific public header file, for example, `template/template_config.hpp`. The example below 
+a plugin-specific public header file, for example, `template/config.hpp`. The example below 
 demonstrates the definition of a new optimization capability value specific for a device:
 
-@snippet template/template_config.hpp public_header:metrics 
+@snippet template/config.hpp public_header:properties 
 
 The snippet below provides an example of the implementation for `GetMetric`:
 
-@snippet template/src/template_plugin.cpp plugin:get_metric
-
 > **NOTE**: If an unsupported metric key is passed to the function, it must throw an exception.
 
 ### `ImportNetwork()`
@@ -178,13 +169,13 @@ information must be stored and checked during the import.
 - Compiled backend specific graph itself
 - Information about precisions and shapes set by the user
 
-@snippet template/src/template_plugin.cpp plugin:import_network
+@snippet template/src/plugin.cpp plugin:import_network
 
 Create Instance of Plugin Class
 ------------------------
 
 Inference Engine plugin library must export only one function creating a plugin instance using IE_DEFINE_PLUGIN_CREATE_FUNCTION macro:
 
-@snippet template/src/template_plugin.cpp plugin:create_plugin_engine
+@snippet template/src/plugin.cpp plugin:create_plugin_engine
 
 Next step in a plugin library implementation is the [ExecutableNetwork](@ref openvino_docs_ie_plugin_dg_executable_network) class.

docs/IE_PLUGIN_DG/layout.xml

@@ -44,6 +44,7 @@
                             <tab type="user" title="FakeQuantizeDecompositionTransformation" url="@ref openvino_docs_OV_UG_lpt_FakeQuantizeDecompositionTransformation"/>
                             <tab type="user" title="FakeQuantizeTransformation" url="@ref openvino_docs_OV_UG_lpt_FakeQuantizeTransformation"/>
                             <tab type="user" title="InterpolateTransformation" url="@ref openvino_docs_OV_UG_lpt_InterpolateTransformation"/>
+                            <tab type="user" title="GatherTransformation" url="@ref openvino_docs_OV_UG_lpt_GatherTransformation"/>
                             <tab type="user" title="GroupConvolutionTransformation" url="@ref openvino_docs_OV_UG_lpt_GroupConvolutionTransformation"/>
                             <tab type="user" title="MatMulTransformation" url="@ref openvino_docs_OV_UG_lpt_MatMulTransformation"/>
                             <tab type="user" title="MaxPoolTransformation" url="@ref openvino_docs_OV_UG_lpt_MaxPoolTransformation"/>

docs/IE_PLUGIN_DG/plugin_transformation_pipeline/low_precision_transformations/lpt.md

@@ -60,6 +60,8 @@ LPT transformations propagate dequantization operations through the following op
 * [Squeeze-1](@ref openvino_docs_ops_shape_Reshape_1)
 * [StridedSlice-1](@ref openvino_docs_ops_movement_StridedSlice_1)
 * [Transpose-1](@ref openvino_docs_ops_movement_Transpose_1)
+* [Gather-7](@ref openvino_docs_ops_movement_Gather_7)
+* [Gather-8](@ref openvino_docs_ops_movement_Gather_8)
 * [Unsqueeze-1](@ref openvino_docs_ops_shape_Unsqueeze_1)
 * [VariadicSplit-1](@ref openvino_docs_ops_movement_VariadicSplit_1)
 
@@ -71,16 +73,16 @@ For example, if you would like to infer a model with `Convolution` operation in
 
 > There are several supported quantization approaches on activations and on weights. All supported approaches are described in [Quantization approaches](#quantization-approaches) section below. In demonstrated model [FakeQuantize operation quantization](#fakequantize-operation) approach is used.
 
-### Low precision tools
+### <a name="low-precision-tools"></a> Low precision tools
 For more details on how to get a quantized model, refer to [Model Optimization](@ref openvino_docs_model_optimization_guide) document.
 
-## Quantization approaches
+## <a name="quantization-approaches"></a> Quantization approaches
 LPT transformations support two quantization approaches:
 1. `FakeQuantize` operation,
 2. Quantize and dequantization operations
 
 Let's explore both approaches in details on `Convolution` operation.
-### FakeQuantize operation  
+### <a name="fakequantize-operation"></a> FakeQuantize operation  
 In this case `FakeQuantize` operation is used on activations and quantized constant on weights. Original input model:  
 
 ![Original model with FakeQuantize](img/model_fq_and_convolution.common.png)
@@ -149,6 +151,7 @@ This step has the most transformations. These transformations can be separated i
 * [FakeQuantizeTransformation](@ref openvino_docs_OV_UG_lpt_FakeQuantizeTransformation)
 * [InterpolateTransformation](@ref openvino_docs_OV_UG_lpt_InterpolateTransformation)
 * [GroupConvolutionTransformation](@ref openvino_docs_OV_UG_lpt_GroupConvolutionTransformation)
+* [GatherTransformation](@ref openvino_docs_OV_UG_lpt_GatherTransformation)
 * [MatMulTransformation](@ref openvino_docs_OV_UG_lpt_MatMulTransformation)
 * [MaxPoolTransformation](@ref openvino_docs_OV_UG_lpt_MaxPoolTransformation)
 * [MultiplyTransformation](@ref openvino_docs_OV_UG_lpt_MultiplyTransformation)

docs/IE_PLUGIN_DG/plugin_transformation_pipeline/low_precision_transformations/pipeline/step3_main.md

@@ -12,6 +12,7 @@ Main transformations are the majority of low precision transformations. Transfor
 * [FakeQuantizeTransformation](@ref openvino_docs_OV_UG_lpt_FakeQuantizeTransformation)
 * [InterpolateTransformation](@ref openvino_docs_OV_UG_lpt_InterpolateTransformation)
 * [GroupConvolutionTransformation](@ref openvino_docs_OV_UG_lpt_GroupConvolutionTransformation)
+* [GatherTransformation](@ref openvino_docs_OV_UG_lpt_GatherTransformation)
 * [MatMulTransformation](@ref openvino_docs_OV_UG_lpt_MatMulTransformation)
 * [MaxPoolTransformation](@ref openvino_docs_OV_UG_lpt_MaxPoolTransformation)
 * [MultiplyTransformation](@ref openvino_docs_OV_UG_lpt_MultiplyTransformation)

docs/IE_PLUGIN_DG/plugin_transformation_pipeline/low_precision_transformations/transformations/step3_main/movement/gather.md

@@ -0,0 +1,3 @@
+# GatherTransformation transformation {#openvino_docs_OV_UG_lpt_GatherTransformation}
+
+ngraph::pass::low_precision::GatherTransformation class represents the `Gather` operation transformation.

docs/MO_DG/Deep_Learning_Model_Optimizer_DevGuide.md

@@ -33,10 +33,7 @@ where IR is a pair of files describing the model:
 
 *  <code>.bin</code> - Contains the weights and biases binary data.
 
-The OpenVINO IR can be additionally optimized for inference by [Post-training optimization](../../tools/pot/docs/Introduction.md)
-> that applies post-training quantization methods.
-
-> **TIP**: You can also work with Model Optimizer in OpenVINO™ [Deep Learning Workbench (DL Workbench)](https://docs.openvino.ai/latest/workbench_docs_Workbench_DG_Introduction.html), which is a web-based tool with GUI for optimizing, fine-tuning, analyzing, visualizing, and comparing performance of deep learning models.
+The OpenVINO IR can be additionally optimized for inference by [Post-training optimization](../../tools/pot/docs/Introduction.md) that applies post-training quantization methods.
 
 ## How to Run Model Optimizer
 
@@ -86,7 +83,7 @@ For more information, refer to the [Converting a TensorFlow Model](prepare_model
 ```sh
 mo --input_model ocr.onnx --output probabilities
 ```
-For more information, refer to the [Converting an ONNX Model (prepare_model/convert_model/Convert_Model_From_ONNX.md) guide.
+For more information, refer to the [Converting an ONNX Model](prepare_model/convert_model/Convert_Model_From_ONNX.md) guide.
 
 > **NOTE**: PyTorch models must be exported to the ONNX format before conversion into IR. More information can be found in [Converting a PyTorch Model](prepare_model/convert_model/Convert_Model_From_PyTorch.md).
 

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docs/MO_DG/prepare_model/Supported_Frameworks_Layers.md

@@ -165,6 +165,7 @@ Some of TensorFlow operations do not match any OpenVINO operations. Yet, they ar
 | AddV2 |  |
 | AddN |  |
 | All |  |
+| Any |  |
 | ArgMax |  |
 | ArgMin |  |
 | Asinh |  |

docs/MO_DG/prepare_model/convert_model/Convert_Model_From_TensorFlow.md

@@ -4,7 +4,7 @@ This page provides general instructions on how to convert a model from a TensorF
 
 To use Model Optimizer, install OpenVINO Development Tools by following the [installation instructions](@ref openvino_docs_install_guides_install_dev_tools).
 
-## Converting TensorFlow 1 Models <a name="Convert_From_TF2X"></a>
+## Converting TensorFlow 1 Models <a name="Convert_From_TF1X"></a>
 
 ### Converting Frozen Model Format <a name="Convert_From_TF"></a>
 To convert a TensorFlow model, use the *`mo`* script to simply convert a model with a path to the input model *`.pb`* file:

docs/MO_DG/prepare_model/convert_model/pytorch_specific/Convert_YOLACT.md

@@ -4,7 +4,7 @@ You Only Look At CoefficienTs (YOLACT) is a simple, fully convolutional model fo
 The PyTorch implementation is publicly available in [this GitHub repository](https://github.com/dbolya/yolact).
 The YOLACT++ model is not supported, because it uses deformable convolutional layers that cannot be represented in ONNX format.
 
-## Creating a Patch File <a name="patch-file"></a>
+## Creating a Patch File <a name="patch-file-yolact"></a>
 
 Before converting the model, create a patch file for the repository.
 The patch modifies the framework code by adding a special command-line argument to the framework options. The argument enables inference graph dumping:
@@ -142,7 +142,7 @@ git checkout 57b8f2d95e62e2e649b382f516ab41f949b57239
 
 **Step 3**. Export the model to ONNX format.
 
-1. Apply the `YOLACT_onnx_export.patch` patch to the repository. Refer to the <a href="#patch-file">Create a Patch File</a> instructions if you do not have it:
+1. Apply the `YOLACT_onnx_export.patch` patch to the repository. Refer to the <a href="#patch-file-yolact">Create a Patch File</a> instructions if you do not have it:
 ```sh
 git apply /path/to/patch/YOLACT_onnx_export.patch
 ```

docs/MO_DG/prepare_model/convert_model/tf_specific/Convert_CRNN_From_Tensorflow.md

@@ -1,56 +1,52 @@
 # Converting a TensorFlow CRNN Model {#openvino_docs_MO_DG_prepare_model_convert_model_tf_specific_Convert_CRNN_From_Tensorflow}
 
-This tutorial explains how to convert a CRNN model to Intermediate Representation (IR).
+This tutorial explains how to convert a CRNN model to OpenVINO™ Intermediate Representation (IR).
 
 There are several public versions of TensorFlow CRNN model implementation available on GitHub. This tutorial explains how to convert the model from
-the [CRNN Tensorflow](https://github.com/MaybeShewill-CV/CRNN_Tensorflow) repository to IR. 
+the [CRNN Tensorflow](https://github.com/MaybeShewill-CV/CRNN_Tensorflow) repository to IR, and is validated with Python 3.7, TensorFlow 1.15.0, and protobuf 3.19.0.
 If you have another implementation of CRNN model, it can be converted to OpenVINO IR in a similar way. You need to get inference graph and run Model Optimizer on it.
 
-**To convert this model to the IR:**
+**To convert the model to IR:**
 
-**Step 1.** Clone this GitHub repository and checkout the commit:
-    1. Clone repository:
+**Step 1.** Clone this GitHub repository and check out the commit:
+    1. Clone the repository:
 ```sh
- git clone https://github.com/MaybeShewill-CV/CRNN_Tensorflow.git
+git clone https://github.com/MaybeShewill-CV/CRNN_Tensorflow.git
 ```
-    2. Checkout necessary commit:
+    2. Go to the `CRNN_Tensorflow` directory of the cloned repository:
+```sh
+cd path/to/CRNN_Tensorflow
+```
+    3. Check out the necessary commit:
 ```sh
 git checkout 64f1f1867bffaacfeacc7a80eebf5834a5726122
 ```
 
-**Step 2.** Train the model, using framework or use the pretrained checkpoint provided in this repository.
+**Step 2.** Train the model using the framework or the pretrained checkpoint provided in this repository.
 
 **Step 3.** Create an inference graph:
-    1. Go to the `CRNN_Tensorflow` directory of the cloned repository:
-```sh
-cd path/to/CRNN_Tensorflow
-```
-    2. Add `CRNN_Tensorflow` folder to `PYTHONPATH`.
-       * For Linux OS:
+    1. Add the `CRNN_Tensorflow` folder to `PYTHONPATH`.
+       * For Linux:
 ```sh
 export PYTHONPATH="${PYTHONPATH}:/path/to/CRNN_Tensorflow/"
 ```
-       * For  Windows OS add `/path/to/CRNN_Tensorflow/` to the `PYTHONPATH` environment variable in settings.
-    3. Open the `tools/test_shadownet.py` script. After `saver.restore(sess=sess, save_path=weights_path)` line, add the following code:
+       * For  Windows, add `/path/to/CRNN_Tensorflow/` to the `PYTHONPATH` environment variable in settings.
+    2. Edit the `tools/demo_shadownet.py` script. After `saver.restore(sess=sess, save_path=weights_path)` line, add the following code:
 ```python
-import tensorflow as tf
 from tensorflow.python.framework import graph_io
-frozen = tf.compat.v1.graph_util.convert_variables_to_constants(sess, sess.graph_def, ['shadow/LSTMLayers/transpose_time_major'])
+frozen = tf.graph_util.convert_variables_to_constants(sess, sess.graph_def, ['shadow/LSTMLayers/transpose_time_major'])
 graph_io.write_graph(frozen, '.', 'frozen_graph.pb', as_text=False)
 ```
-    4. Run the demo with the following command:
+    3. Run the demo with the following command:
 ```sh
-python tools/test_shadownet.py --image_path data/test_images/test_01.jpg --weights_path model/shadownet/shadownet_2017-10-17-11-47-46.ckpt-199999
+python tools/demo_shadownet.py --image_path data/test_images/test_01.jpg --weights_path model/shadownet/shadownet_2017-10-17-11-47-46.ckpt-199999
 ```
    If you want to use your checkpoint, replace the path in the `--weights_path` parameter with a path to your checkpoint.
-    5. In the `CRNN_Tensorflow` directory, you will find the inference CRNN graph `frozen_graph.pb`. You can use this graph with the OpenVINO™ toolkit
-     to convert the model into the IR and run inference.
+    4. In the `CRNN_Tensorflow` directory, you will find the inference CRNN graph `frozen_graph.pb`. You can use this graph with OpenVINO 
+     to convert the model to IR and then run inference.
 
-**Step 4.** Convert the model into the IR:
+**Step 4.** Convert the model to IR:
 ```sh
 mo --input_model path/to/your/CRNN_Tensorflow/frozen_graph.pb
 ```
 
-
-
-

docs/MO_DG/prepare_model/convert_model/tf_specific/Convert_GNMT_From_Tensorflow.md

@@ -4,7 +4,7 @@ This tutorial explains how to convert Google Neural Machine Translation (GNMT) m
 
 There are several public versions of TensorFlow GNMT model implementation available on GitHub. This tutorial explains how to convert the GNMT model from the [TensorFlow Neural Machine Translation (NMT) repository](https://github.com/tensorflow/nmt) to the IR.
 
-## Creating a Patch File <a name="patch-file"></a>
+## Creating a Patch File <a name="patch-file-gnmt"></a>
 
 Before converting the model, you need to create a patch file for the repository. The patch modifies the framework code by adding a special command-line argument to the framework options that enables inference graph dumping:
 
@@ -164,7 +164,7 @@ This tutorial assumes the use of the trained GNMT model from `wmt16_gnmt_4_layer
 The OpenVINO assumes that a model is used for inference only. Hence, before converting the model into the IR, you need to transform the training graph into the inference graph.
 For the GNMT model, the training graph and the inference graph have different decoders: the training graph uses a greedy search decoding algorithm, while the inference graph uses a beam search decoding algorithm.
 
-1. Apply the `GNMT_inference.patch` patch to the repository. Refer to the <a href="#patch-file">Create a Patch File</a> instructions if you do not have it:
+1. Apply the `GNMT_inference.patch` patch to the repository. Refer to the <a href="#patch-file-gnmt">Create a Patch File</a> instructions if you do not have it:
 ```sh
  git apply /path/to/patch/GNMT_inference.patch
 ```
@@ -217,7 +217,7 @@ Output cutting:
 
 For more information about model cutting, refer to the [Cutting Off Parts of a Model](@ref openvino_docs_MO_DG_prepare_model_convert_model_Cutting_Model) guide.
 
-## Using a GNMT Model <a name="run_GNMT"></a>
+## Using a GNMT Model <a name="run_GNMT_model"></a>
 
 > **NOTE**: This step assumes you have converted a model to the Intermediate Representation.
 

docs/MO_DG/prepare_model/customize_model_optimizer/Customize_Model_Optimizer.md

@@ -102,7 +102,7 @@ The next step is to parse framework-dependent operation representation saved in
 attributes with the operation specific attributes. There are three options to do this.
 
 1.  The extractor extension approach. This is a recommended way to extract attributes for an operation and it is
-explained in details in the [Operation Extractor](#extension-extractor) section.
+explained in details in the [Operation Extractor](#operation-extractor) section.
 
 2.  The legacy approach with a built-in extractor. The `mo/front/<FRAMEWORK>/extractor.py` file (for example, the one
 for Caffe) defines a dictionary with extractors for specific operation types. A key in the dictionary is a type of an
@@ -586,7 +586,7 @@ only parameter and returns a string with the value to be saved to the IR. Exampl
 second element is the name of the `Node` attribute to get the value from. Examples of this case are `pool-method` and
 `exclude-pad`.
 
-### Operation Extractor <a name="extension-extractor"></a>
+### Operation Extractor <a name="operation-extractor"></a>
 Model Optimizer runs specific extractor for each operation in the model during the model loading. For more information about this process, refer to the
 [operations-attributes-extracting](#operations-attributes-extracting) section.
 
@@ -737,7 +737,7 @@ sub-graph of the original graph isomorphic to the specified pattern.
 node with a specific `op` attribute value.
 3. [Generic Front Phase Transformations](#generic-front-phase-transformations).
 4. Manually enabled transformation, defined with a JSON configuration file (for TensorFlow, ONNX, Apache MXNet, and PaddlePaddle models), specified using the `--transformations_config` command-line parameter:
-    1. [Node Name Pattern Front Phase Transformations](#node-name-pattern-front-phase-transformation).
+    1. [Node Name Pattern Front Phase Transformations](#node-name-pattern-front-phase-transformations).
     2. [Front Phase Transformations Using Start and End Points](#start-end-points-front-phase-transformations).
     3. [Generic Front Phase Transformations Enabled with Transformations Configuration File](#generic-transformations-config-front-phase-transformations).
 
@@ -755,8 +755,6 @@ works differently:
    required to write the transformation and connect the newly created nodes to the rest of the graph.
    2. The `generate_sub_graph(self, graph, match)` override the method. This case is not recommended for use because it is
    the most complicated approach. It can be effectively replaced with one of two previous approaches. 
-   The explanation of this function is provided in the 
-   [Node Name Defined Sub-Graph Transformations](#node-name-defined-sub-graph-transformations) section.
 
 The sub-graph pattern is defined in the `pattern()` function. This function should return a dictionary with two keys:
 `nodes` and `edges`:
@@ -1135,7 +1133,7 @@ For other examples of transformations with points, refer to the
 ##### Generic Front Phase Transformations Enabled with Transformations Configuration File <a name="generic-transformations-config-front-phase-transformations"></a>
 This type of transformation works similarly to the [Generic Front Phase Transformations](#generic-front-phase-transformations)
 but require a JSON configuration file to enable it similarly to
-[Node Name Pattern Front Phase Transformations](#node-name-pattern-front-phase-transformation) and
+[Node Name Pattern Front Phase Transformations](#node-name-pattern-front-phase-transformations) and
 [Front Phase Transformations Using Start and End Points](#start-end-points-front-phase-transformations).
 
 The base class for this type of transformation is

docs/OV_Runtime_UG/Model_caching_overview.md

@@ -47,7 +47,7 @@ If the device does not support import/export capability, cache is not created an
 Depending on your device, total time for compiling model on application startup can be significantly reduced.
 Also note that the very first `compile_model` (when cache is not yet created) takes slightly longer time to "export" the compiled blob into a cache file:
 
-![caching_enabled]
+![](../img/caching_enabled.svg)
 
 ### Even faster: use compile_model(modelPath)
 
@@ -89,7 +89,7 @@ With model caching enabled, total load time is even smaller, if `read_model` is
 
 @endsphinxdirective
 
-![caching_times]
+![](../img/caching_times.svg)
 
 ### Advanced Examples
 
@@ -114,7 +114,4 @@ To check in advance if a particular device supports model caching, your applicat
 
 > **NOTE**: For GPU, model caching is currently implemented as a preview feature. Before it is fully supported, kernel caching can be used in the same manner: by setting the CACHE_DIR configuration key to a folder where the cache should be stored (see the [GPU plugin documentation](supported_plugins/GPU.md)).
 > To activate the preview feature of model caching, set the OV_GPU_CACHE_MODEL environment variable to 1.
-
-
-[caching_enabled]: ../img/caching_enabled.png
-[caching_times]: ../img/caching_times.png
+ 

docs/OV_Runtime_UG/Samples_Overview.md

@@ -1,4 +1,4 @@
-# OpenVINO Samples {#openvino_docs_OV_UG_Samples_Overview}
+# OpenVINO™ Samples {#openvino_docs_OV_UG_Samples_Overview}
 
 @sphinxdirective
 
@@ -96,13 +96,13 @@ To run the sample, you can use [public](@ref omz_models_group_public) or [Intel'
 
 ### <a name="build-samples-linux"></a>Build the Sample Applications on Linux
 
-The officially supported Linux* build environment is the following:
+The officially supported Linux build environment is the following:
 
-* Ubuntu* 18.04 LTS 64-bit or Ubuntu* 20.04 LTS 64-bit
-* GCC* 7.5.0 (for Ubuntu* 18.04) or GCC* 9.3.0 (for Ubuntu* 20.04)
-* CMake* version 3.10 or higher
+* Ubuntu 18.04 LTS 64-bit or Ubuntu 20.04 LTS 64-bit
+* GCC 7.5.0 (for Ubuntu 18.04) or GCC 9.3.0 (for Ubuntu 20.04)
+* CMake version 3.10 or higher
 
-> **NOTE**: For building samples from the open-source version of OpenVINO™ toolkit, see the [build instructions on GitHub](https://github.com/openvinotoolkit/openvino/wiki/BuildingCode).
+> **NOTE**: For building samples from the open-source version of OpenVINO toolkit, see the [build instructions on GitHub](https://github.com/openvinotoolkit/openvino/wiki/BuildingCode).
 
 To build the C or C++ sample applications for Linux, go to the `<INSTALL_DIR>/samples/c` or `<INSTALL_DIR>/samples/cpp` directory, respectively, and run the `build_samples.sh` script:
 ```sh
@@ -110,8 +110,9 @@ build_samples.sh
 ```
 
 Once the build is completed, you can find sample binaries in the following folders:
-* C samples: `~/openvino_c_samples_build/intel64/Release`
-* C++ samples: `~/openvino_cpp_samples_build/intel64/Release`
+* C samples: `~/openvino_c_samples_build/<architecture>/Release`
+* C++ samples: `~/openvino_cpp_samples_build/<architecture>/Release`
+where the <architecture> is the output of `uname -m`, for example, `intel64`, `armhf`, or `aarch64`.
 
 You can also build the sample applications manually:
 
@@ -142,8 +143,8 @@ cd build
 make
 ```
 
-For the release configuration, the sample application binaries are in `<path_to_build_directory>/intel64/Release/`;
-for the debug configuration — in `<path_to_build_directory>/intel64/Debug/`.
+For the release configuration, the sample application binaries are in `<path_to_build_directory>/<architecture>/Release/`;
+for the debug configuration — in `<path_to_build_directory>/<architecture>/Debug/`.
 
 ### <a name="build-samples-windows"></a>Build the Sample Applications on Microsoft Windows
 
@@ -162,22 +163,23 @@ build_samples_msvc.bat
 By default, the script automatically detects the highest Microsoft Visual Studio version installed on the machine and uses it to create and build a solution for a sample code
 
 Once the build is completed, you can find sample binaries in the following folders:
-* C samples: `C:\Users\<user>\Documents\Intel\OpenVINO\openvino_c_samples_build\intel64\Release`
-* C++ samples: `C:\Users\<user>\Documents\Intel\OpenVINO\openvino_cpp_samples_build\intel64\Release`
+* C samples: `C:\Users\<user>\Documents\Intel\OpenVINO\openvino_c_samples_build\<architecture>\Release`
+* C++ samples: `C:\Users\<user>\Documents\Intel\OpenVINO\openvino_cpp_samples_build\<architecture>\Release`
+where the <architecture> is the output of `echo %PROCESSOR_ARCHITECTURE%`, for example, `intel64` (AMD64), or `arm64`.
 
 You can also build a generated solution manually. For example, if you want to build C++ sample binaries in Debug configuration, run the appropriate version of the
 Microsoft Visual Studio and open the generated solution file from the `C:\Users\<user>\Documents\Intel\OpenVINO\openvino_cpp_samples_build\Samples.sln`
 directory.
 
-### <a name="build-samples-macos"></a>Build the Sample Applications on macOS*
+### <a name="build-samples-macos"></a>Build the Sample Applications on macOS
 
-The officially supported macOS* build environment is the following:
+The officially supported macOS build environment is the following:
 
-* macOS* 10.15 64-bit or higher
-* Clang* compiler from Xcode* 10.1 or higher
-* CMake* version 3.13 or higher
+* macOS 10.15 64-bit or higher
+* Clang compiler from Xcode 10.1 or higher
+* CMake version 3.13 or higher
 
-> **NOTE**: For building samples from the open-source version of OpenVINO™ toolkit, see the [build instructions on GitHub](https://github.com/openvinotoolkit/openvino/wiki/BuildingCode).
+> **NOTE**: For building samples from the open-source version of OpenVINO toolkit, see the [build instructions on GitHub](https://github.com/openvinotoolkit/openvino/wiki/BuildingCode).
 
 To build the C or C++ sample applications for macOS, go to the `<INSTALL_DIR>/samples/c` or `<INSTALL_DIR>/samples/cpp` directory, respectively, and run the `build_samples.sh` script:
 ```sh
@@ -185,8 +187,8 @@ build_samples.sh
 ```
 
 Once the build is completed, you can find sample binaries in the following folders:
-* C samples: `~/openvino_c_samples_build/intel64/Release`
-* C++ samples: `~/openvino_cpp_samples_build/intel64/Release`
+* C samples: `~/openvino_c_samples_build/<architecture>/Release`
+* C++ samples: `~/openvino_cpp_samples_build/<architecture>/Release`
 
 You can also build the sample applications manually:
 
@@ -223,12 +225,12 @@ cd build
 make
 ```
 
-For the release configuration, the sample application binaries are in `<path_to_build_directory>/intel64/Release/`;
-for the debug configuration — in `<path_to_build_directory>/intel64/Debug/`.
+For the release configuration, the sample application binaries are in `<path_to_build_directory>/<architecture>/Release/`;
+for the debug configuration — in `<path_to_build_directory>/<architecture>/Debug/`.
 
 ## Get Ready for Running the Sample Applications
 
-### Get Ready for Running the Sample Applications on Linux*
+### Get Ready for Running the Sample Applications on Linux
 
 Before running compiled binary files, make sure your application can find the
 OpenVINO Runtime libraries.
@@ -237,8 +239,9 @@ Run the `setupvars` script to set all necessary environment variables:
 source <INSTALL_DIR>/setupvars.sh
 ```
 
-**(Optional)**: The OpenVINO environment variables are removed when you close the
-shell. As an option, you can permanently set the environment variables as follows:
+#### (Optional) Set Environment Variables Permanently
+
+The OpenVINO environment variables are removed when you close the shell. As an option, you can permanently set the environment variables as follows:
 
 1. Open the `.bashrc` file in `<user_home_directory>`:
 ```sh
@@ -257,7 +260,7 @@ You are ready to run sample applications. To learn about how to run a particular
 sample, read the sample documentation by clicking the sample name in the samples
 list above.
 
-### Get Ready for Running the Sample Applications on Windows*
+### Get Ready for Running the Sample Applications on Windows
 
 Before running compiled binary files, make sure your application can find the
 OpenVINO Runtime libraries.
@@ -284,4 +287,4 @@ sample, read the sample documentation by clicking the sample name in the samples
 list above.
 
 ## See Also
-* [OpenVINO™ Runtime User Guide](openvino_intro.md)
+* [OpenVINO Runtime User Guide](openvino_intro.md)

docs/OV_Runtime_UG/auto_device_selection.md

@@ -12,7 +12,7 @@
 
 This article introduces how Automatic Device Selection works and how to use it for inference.
 
-## How AUTO Works
+## <a name="how-auto-works"></a> How AUTO Works
 
 The Automatic Device Selection mode, or AUTO for short, uses a "virtual" or a "proxy" device, 
 which does not bind to a specific type of hardware, but rather selects the processing unit for inference automatically. 
@@ -287,7 +287,7 @@ Although the methods described above are currently the preferred way to execute
 
 @endsphinxdirective
 
-## Using AUTO with OpenVINO Samples and Benchmark app
+## <a name="using-auto-with-openvino-samples-and-benchmark-app"></a> Using AUTO with OpenVINO Samples and Benchmark app
 
 To see how the Auto-Device plugin is used in practice and test its performance, take a look at OpenVINO™ samples. All samples supporting the "-d" command-line option (which stands for "device") will accept the plugin out-of-the-box. The Benchmark Application will be a perfect place to start – it presents the optimal performance of the plugin without the need for additional settings, like the number of requests or CPU threads. To evaluate the AUTO performance, you can use the following commands: