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Merge branch 'CVS-163062_CVS-163051' into attribute_pattern_matching
Signed-off-by: Evgeniia Nugmanova <evgeniia.nugmanova@intel.com>
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‎.github/actions/common/constants.py

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@@ -19,6 +19,7 @@ class EventType(Enum):
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'public_windows_vs2022_release',
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'public_windows_vs2022_debug',
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'public_manylinux2014_x86_64_release',
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'public_macos_x86_64_release',
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)
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ProductType = Enum('ProductType', {t.upper(): t for t in productTypes})
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@@ -44,4 +45,5 @@ class EventType(Enum):
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PlatformKey.UBUNTU22_X86_64: ProductType.PUBLIC_LINUX_UBUNTU_22_04_X86_64_RELEASE,
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PlatformKey.UBUNTU24_X86_64: ProductType.PUBLIC_LINUX_UBUNTU_24_04_X86_64_RELEASE,
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PlatformKey.WINDOWS_X86_64: ProductType.PUBLIC_WINDOWS_VS2022_RELEASE,
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PlatformKey.MACOS_12_6_X86_64: ProductType.PUBLIC_MACOS_X86_64_RELEASE,
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}

‎.github/workflows/build_doc.yml

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@@ -30,7 +30,7 @@ jobs:
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packages: graphviz texlive liblua5.2-0 libclang1-9 libclang-cpp9
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version: 3.0
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- uses: actions/setup-python@0b93645e9fea7318ecaed2b359559ac225c90a2b # v5.3.0
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- uses: actions/setup-python@42375524e23c412d93fb67b49958b491fce71c38 # v5.4.0
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id: cp310
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with:
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python-version: '3.10'

‎.github/workflows/coverage.yml

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@@ -20,7 +20,7 @@ jobs:
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steps:
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- name: Setup python
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uses: actions/setup-python@0b93645e9fea7318ecaed2b359559ac225c90a2b # v5.3.0
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uses: actions/setup-python@42375524e23c412d93fb67b49958b491fce71c38 # v5.4.0
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with:
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python-version: '3.10.10'
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architecture: 'x64'

‎.github/workflows/job_gpu_tests.yml

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@@ -74,7 +74,7 @@ jobs:
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DEBIAN_FRONTEND: noninteractive # to prevent apt-get from waiting user input
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TZ: "Europe/London" # to prevent tzdata from waiting user input
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- name: Setup Python ${{ env.PYTHON_VERSION }}
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uses: actions/setup-python@0b93645e9fea7318ecaed2b359559ac225c90a2b # v5.3.0
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uses: actions/setup-python@42375524e23c412d93fb67b49958b491fce71c38 # v5.4.0
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with:
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python-version: ${{ env.PYTHON_VERSION }}
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‎.github/workflows/mac.yml

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@@ -33,12 +33,16 @@ permissions: read-all
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env:
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PYTHON_VERSION: '3.11'
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MANIFEST_FILE: manifest.yml
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PRODUCT_TYPE: public_macos_x86_64_release
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jobs:
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Smart_CI:
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runs-on: ubuntu-latest
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outputs:
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affected_components: "${{ steps.smart_ci.outputs.affected_components }}"
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changed_components: "${{ steps.smart_ci.outputs.changed_components }}"
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skip_workflow: "${{ steps.smart_ci.outputs.skip_workflow }}"
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steps:
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- name: checkout action
@@ -59,7 +63,7 @@ jobs:
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repo_token: ${{ secrets.GITHUB_TOKEN }}
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skip_when_only_listed_labels_set: 'docs'
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skip_when_only_listed_files_changed: '*.md,*.rst,*.png,*.jpg,*.svg'
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Build:
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needs: Smart_CI
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timeout-minutes: 150
@@ -78,6 +82,7 @@ jobs:
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INSTALL_DIR: ${{ github.workspace }}/openvino_install
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INSTALL_DIR_JS: ${{ github.workspace }}/openvino_install/js
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INSTALL_TEST_DIR: ${{ github.workspace }}/tests_install
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DEVELOPER_PACKAGE_DIR: ${{ github.workspace }}/developer_package_install
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INSTALL_WHEELS_DIR: ${{ github.workspace }}/install/wheels
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BUILD_DIR: ${{ github.workspace }}/build
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if: "!needs.smart_ci.outputs.skip_workflow"
@@ -171,17 +176,22 @@ jobs:
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172177
- name: Cmake install - OpenVINO
173178
run: |
174-
cmake -DCMAKE_INSTALL_PREFIX=${{ env.INSTALL_DIR }} -P ${{ env.BUILD_DIR }}/cmake_install.cmake
175-
cmake -DCMAKE_INSTALL_PREFIX=${{ env.INSTALL_TEST_DIR }} -DCOMPONENT=tests -P ${{ env.BUILD_DIR }}/cmake_install.cmake
179+
cmake --install . --config ${{ env.CMAKE_BUILD_TYPE }} --prefix ${{ env.INSTALL_DIR }}
180+
cmake --install . --config ${{ env.CMAKE_BUILD_TYPE }} --prefix ${{ env.INSTALL_TEST_DIR }} --component tests
181+
cmake --install . --config ${{ env.CMAKE_BUILD_TYPE }} --prefix ${{ env.DEVELOPER_PACKAGE_DIR }} --component developer_package
182+
working-directory: ${{ env.BUILD_DIR }}
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- name: Pack Artifacts
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run: |
179-
pushd ${{ env.INSTALL_DIR }}
180-
tar -cvf - * | pigz > ${{ env.BUILD_DIR }}/openvino_package.tar.gz
181-
popd
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pushd ${{ env.INSTALL_TEST_DIR }}
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tar -cvf - * | pigz > ${{ env.BUILD_DIR }}/openvino_tests.tar.gz
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popd
184+
- name: Pack openvino_package
185+
run: tar -cvf - * | pigz > ${{ env.BUILD_DIR }}/openvino_package.tar.gz
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working-directory: ${{ env.INSTALL_DIR }}
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- name: Pack openvino_developer_package
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run: tar -cvf - * | pigz > ${{ env.BUILD_DIR }}/openvino_developer_package.tar.gz
190+
working-directory: ${{ env.DEVELOPER_PACKAGE_DIR }}
191+
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- name: Pack openvino_tests
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run: tar -cvf - * | pigz > ${{ env.BUILD_DIR }}/openvino_tests.tar.gz
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working-directory: ${{ env.INSTALL_TEST_DIR }}
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# Setup additional Python versions for wheels building
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- name: Setup Python 3.9
@@ -225,6 +235,18 @@ jobs:
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should-setup-pip-paths: 'false'
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self-hosted-runner: 'false'
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- name: Generate product manifest and set CI_BUILD_NUMBER & CI_BUILD_DEV_TAG
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id: create_manifest
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uses: ./openvino/.github/actions/create_manifest
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with:
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repos: |
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${{ env.OPENVINO_REPO }}
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${{ env.OPENVINO_CONTRIB_REPO }}
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product_type: ${{ env.PRODUCT_TYPE }}
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target_arch: ${{ runner.arch }}
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build_type: 'release'
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save_to: ${{ github.workspace }}/${{ env.MANIFEST_FILE }}
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- name: Cmake & Build - OpenVINO Contrib
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run: |
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cmake \
@@ -275,13 +297,30 @@ jobs:
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name: openvino_tests
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path: ${{ env.BUILD_DIR }}/openvino_tests.tar.gz
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if-no-files-found: 'error'
300+
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- name: Upload openvino developer package
302+
if: ${{ always() }}
303+
uses: actions/upload-artifact@65c4c4a1ddee5b72f698fdd19549f0f0fb45cf08 # v4.6.0
304+
with:
305+
name: openvino_developer_package
306+
path: ${{ env.BUILD_DIR }}/openvino_developer_package.tar.gz
307+
if-no-files-found: 'error'
308+
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- name: Upload openvino js package
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if: fromJSON(needs.smart_ci.outputs.affected_components).JS_API
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uses: actions/upload-artifact@65c4c4a1ddee5b72f698fdd19549f0f0fb45cf08 # v4.6.0
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with:
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name: openvino_js_package
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path: ${{ env.BUILD_DIR }}/openvino_js_package.tar.gz
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if-no-files-found: 'error'
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- name: Upload product manifest
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if: ${{ always() }}
319+
uses: actions/upload-artifact@65c4c4a1ddee5b72f698fdd19549f0f0fb45cf08 # v4.6.0
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with:
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name: openvino_package_manifest
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path: ${{ github.workspace }}/${{ env.MANIFEST_FILE }}
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if-no-files-found: 'error'
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Samples:
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needs: [ Build, Smart_CI ]
@@ -377,3 +416,61 @@ jobs:
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with:
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runner: 'macos-13'
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python-version: '3.11'
419+
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upload_artifacts:
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name: Upload OpenVINO artifacts
422+
timeout-minutes: 10
423+
needs: [Build, Smart_CI]
424+
defaults:
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run:
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shell: bash
427+
runs-on: aks-linux-2-cores-8gb
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container:
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image: 'openvinogithubactions.azurecr.io/library/python:3.12-slim'
430+
volumes:
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- /mount:/mount
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- ${{ github.workspace }}:${{ github.workspace }}
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env:
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OPENVINO_REPO: ${{ github.workspace }}/openvino
435+
OPENVINO_CONTRIB_REPO: ${{ github.workspace }}/openvino_contrib
436+
ARTIFACTS_DIR: ${{ github.workspace }}/artifacts
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WHEELS_DIR: ${{ github.workspace }}/wheels
438+
ARTIFACTS_SHARE: "/mount/build-artifacts"
439+
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steps:
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- name: Checkout OpenVINO actions
442+
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
443+
timeout-minutes: 15
444+
with:
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sparse-checkout: |
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.github/actions/common
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.github/actions/store_artifacts
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path: ${{ env.OPENVINO_REPO }}
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- name: Download OpenVINO artifacts
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uses: actions/download-artifact@fa0a91b85d4f404e444e00e005971372dc801d16 # v4.1.8
452+
with:
453+
pattern: "{openvino_package,openvino_developer_package,openvino_js_package,openvino_package_manifest}"
454+
path: ${{ env.ARTIFACTS_DIR }}
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merge-multiple: true
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457+
- name: Download OpenVINO wheels
458+
uses: actions/download-artifact@fa0a91b85d4f404e444e00e005971372dc801d16 # v4.1.8
459+
with:
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name: openvino_wheels
461+
path: ${{ env.WHEELS_DIR }}
462+
merge-multiple: true
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464+
- name: Store artifacts to a shared drive
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id: store_artifacts
466+
if: ${{ always() }}
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uses: ./openvino/.github/actions/store_artifacts
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with:
469+
artifacts: |
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${{ env.ARTIFACTS_DIR }}/${{ env.MANIFEST_FILE }}
471+
${{ env.ARTIFACTS_DIR }}/openvino_package.tar.gz
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${{ env.ARTIFACTS_DIR }}/openvino_developer_package.tar.gz
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${{ env.WHEELS_DIR }}
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${{ fromJSON(needs.smart_ci.outputs.affected_components).JS_API && format('{0}/openvino_js_package.tar.gz', env.ARTIFACTS_DIR) || '' }}
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storage_dir: ${{ env.PRODUCT_TYPE }}
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storage_root: ${{ env.ARTIFACTS_SHARE }}

‎.github/workflows/ovc.yml

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@@ -23,7 +23,7 @@ jobs:
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timeout-minutes: 15
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- name: Setup Python
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uses: actions/setup-python@0b93645e9fea7318ecaed2b359559ac225c90a2b # v5.3.0
26+
uses: actions/setup-python@42375524e23c412d93fb67b49958b491fce71c38 # v5.4.0
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with:
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python-version: '3.10'
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‎.github/workflows/py_checks.yml

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@@ -32,7 +32,7 @@ jobs:
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timeout-minutes: 15
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- name: Setup Python
35-
uses: actions/setup-python@0b93645e9fea7318ecaed2b359559ac225c90a2b # v5.3.0
35+
uses: actions/setup-python@42375524e23c412d93fb67b49958b491fce71c38 # v5.4.0
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with:
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python-version: '3.9'
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‎README.md

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@@ -35,7 +35,7 @@ Check out the [OpenVINO Cheat Sheet](https://docs.openvino.ai/2025/_static/downl
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pip install -U openvino
3636
```
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38-
Check [system requirements](https://docs.openvino.ai/2025/about-openvino/system-requirements.html) and [supported devices](https://docs.openvino.ai/2025/documentation/compatibility-and-support/supported-devices.html) for detailed information.
38+
Check [system requirements](https://docs.openvino.ai/2025/about-openvino/release-notes-openvino/system-requirements.html) and [supported devices](https://docs.openvino.ai/2025/documentation/compatibility-and-support/supported-devices.html) for detailed information.
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## Tutorials and Examples
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‎cmake/features.cmake

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@@ -52,7 +52,7 @@ ov_dependent_option (ENABLE_GPU_DEBUG_CAPS "enable GPU debug capabilities at run
5252
ov_dependent_option (ENABLE_CPU_DEBUG_CAPS "enable CPU debug capabilities at runtime" ON "ENABLE_DEBUG_CAPS;ENABLE_INTEL_CPU" OFF)
5353
ov_dependent_option (ENABLE_SNIPPETS_DEBUG_CAPS "enable Snippets debug capabilities at runtime" ON "ENABLE_DEBUG_CAPS" OFF)
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55-
ov_dependent_option (ENABLE_SNIPPETS_LIBXSMM_TPP "allow Snippets to use LIBXSMM Tensor Processing Primitives" OFF "ENABLE_INTEL_CPU AND X86_64" OFF)
55+
ov_dependent_option (ENABLE_SNIPPETS_LIBXSMM_TPP "allow Snippets to use LIBXSMM Tensor Processing Primitives" OFF "ENABLE_INTEL_CPU AND (X86_64 OR AARCH64)" OFF)
5656

5757
ov_option (ENABLE_PROFILING_ITT "Build with ITT tracing. Optionally configure pre-built ittnotify library though INTEL_VTUNE_DIR variable." OFF)
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‎cmake/packaging/debian.cmake

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2024.4.0
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2024.5.0 2024.5.1
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2024.6.0
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2025.0.0
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2025.0.0 2025.0.1
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)
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ov_check_conflicts_versions(conflicting_versions)

‎cmake/packaging/rpm.cmake

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@@ -88,7 +88,7 @@ macro(ov_cpack_settings)
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2024.4.0
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2024.5.0 2024.5.1
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2024.6.0
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2025.0.0
91+
2025.0.0 2025.0.1
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)
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ov_check_conflicts_versions(conflicting_versions)

‎docs/CMakeLists.txt

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@@ -84,7 +84,7 @@ function(build_docs)
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list(APPEND commands COMMAND ${Python3_EXECUTABLE} ${FILE_HELPER_SCRIPT}
8585
--filetype=md
8686
--input_dir=${OVMS_DOCS_DIR}
87-
--output_dir=${SPHINX_SOURCE_DIR}/openvino-workflow/model-server
87+
--output_dir=${SPHINX_SOURCE_DIR}/model-server
8888
--exclude_dir=${SPHINX_SOURCE_DIR})
8989
list(APPEND commands COMMAND ${CMAKE_COMMAND} -E cmake_echo_color --green "FINISHED preprocessing OVMS")
9090
endif()

‎docs/articles_en/about-openvino/openvino-ecosystem/openvino-project.rst

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| **OpenVINO Model Server**
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| :bdg-link-dark:`GitHub <https://github.com/openvinotoolkit/model_server>`
41-
:bdg-link-success:`User Guide <https://docs.openvino.ai/2025/openvino-workflow/model-server/ovms_what_is_openvino_model_server.html>`
41+
:bdg-link-success:`User Guide <https://docs.openvino.ai/2025/model-server/ovms_what_is_openvino_model_server.html>`
4242
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A high-performance system that can be used to access the host models via request to the model
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server.

‎docs/articles_en/about-openvino/openvino-ecosystem/openvino-project/openvino-security-add-on.rst

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@@ -17,7 +17,7 @@ In this release, one person performs the role of both the Model Developer and th
1717
Overview
1818
########
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20-
The OpenVINO™ Security Add-on works with the :doc:`OpenVINO™ Model Server <../../../openvino-workflow/model-server/ovms_what_is_openvino_model_server>` on Intel® architecture. Together, the OpenVINO™ Security Add-on and the OpenVINO™ Model Server provide a way for Model Developers and Independent Software Vendors to use secure packaging and secure model execution to enable access control to the OpenVINO™ models, and for model Users to run inference within assigned limits.
20+
The OpenVINO™ Security Add-on works with the :doc:`OpenVINO™ Model Server <../../../../model-server/ovms_what_is_openvino_model_server>` on Intel® architecture. Together, the OpenVINO™ Security Add-on and the OpenVINO™ Model Server provide a way for Model Developers and Independent Software Vendors to use secure packaging and secure model execution to enable access control to the OpenVINO™ models, and for model Users to run inference within assigned limits.
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2222
The OpenVINO™ Security Add-on consists of three components that run in Kernel-based Virtual Machines (KVMs). These components provide a way to run security-sensitive operations in an isolated environment. A brief description of the three components are as follows. Click each triangled line for more information about each.
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‎docs/articles_en/about-openvino/performance-benchmarks.rst

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@@ -18,7 +18,7 @@ Performance Benchmarks
1818

1919
This page presents benchmark results for the
2020
`Intel® Distribution of OpenVINO™ toolkit <https://software.intel.com/content/www/us/en/develop/tools/openvino-toolkit.html>`__
21-
and :doc:`OpenVINO Model Server <../openvino-workflow/model-server/ovms_what_is_openvino_model_server>`, for a representative
21+
and :doc:`OpenVINO Model Server <../../model-server/ovms_what_is_openvino_model_server>`, for a representative
2222
selection of public neural networks and Intel® devices. The results may help you decide which
2323
hardware to use in your applications or plan AI workload for the hardware you have already
2424
implemented in your solutions. Click the buttons below to see the chosen benchmark data.

‎docs/articles_en/get-started/install-openvino.rst

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@@ -28,7 +28,8 @@ OpenVINO 2025.0, described here, is not a Long-Term-Support version!
2828
All currently supported versions are:
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3030
* 2025.0 (development)
31-
* 2023.3 (LTS)
31+
* 2024.6 (maintenance)
32+
* 2023.3 (LTS), it will be deprecated at the end of 2025.
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3334

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.. dropdown:: Effortless GenAI integration with OpenVINO GenAI

‎docs/articles_en/openvino-workflow-generative.rst

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@@ -55,14 +55,22 @@ options:
5555
as well as conversion on the fly. For integration with the final product it may offer
5656
lower performance, though.
5757

58-
.. tab-item:: Base OpenVINO (not recommended)
58+
.. tab-item:: OpenVINO™ Model Server
5959

60-
Note that the base version of OpenVINO may also be used to run generative AI. Although it may
61-
offer a simpler environment, with fewer dependencies, it has significant limitations and a more
62-
demanding implementation process.
60+
| - Easy and quick deployment of models to edge or cloud.
61+
| - Includes endpoints for serving generative AI models.
62+
| - Available in both Python and C++.
63+
| - Allows client applications in any programming language that supports REST or gRPC.
6364
64-
To learn more, refer to the article for the 2024.6 OpenVINO version:
65-
`Generative AI with Base OpenVINO <https://docs.openvino.ai/2024/learn-openvino/llm_inference_guide/llm-inference-native-ov.html>`__
65+
:doc:`OpenVINO™ Model Server <model-server/ovms_what_is_openvino_model_server>`
66+
provides a set of REST API endpoints dedicated to generative use cases. The endpoints
67+
simplify writing AI applications, ensure scalability, and provide state-of-the-art
68+
performance optimizations. They include OpenAI API for:
69+
`text generation <https://openvino-doc.iotg.sclab.intel.com/seba-test-8/model-server/ovms_docs_rest_api_chat.html>`__,
70+
`embeddings <https://openvino-doc.iotg.sclab.intel.com/seba-test-8/model-server/ovms_docs_rest_api_embeddings.html>`__,
71+
and `reranking <https://openvino-doc.iotg.sclab.intel.com/seba-test-8/model-server/ovms_docs_rest_api_rerank.html>`__.
72+
The model server supports deployments as containers or binary applications on Linux and Windows with CPU or GPU acceleration.
73+
See the :doc:`demos <model-server/ovms_docs_demos>`.
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6775

6876

@@ -94,10 +102,13 @@ The advantages of using OpenVINO for generative model deployment:
94102
better performance than Python-based runtimes.
95103
96104

105+
You can run Generative AI models, using native OpenVINO API, although it is not recommended.
106+
If you want to learn how to do it, refer to
107+
`the 24.6 documentation <https://docs.openvino.ai/2024/learn-openvino/llm_inference_guide/llm-inference-native-ov.html>`__.
108+
109+
97110
Proceed to guides on:
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99112
* :doc:`OpenVINO GenAI <./openvino-workflow-generative/inference-with-genai>`
100113
* :doc:`Hugging Face and Optimum Intel <./openvino-workflow-generative/inference-with-optimum-intel>`
101114
* `Generative AI with Base OpenVINO <https://docs.openvino.ai/2024/learn-openvino/llm_inference_guide/llm-inference-native-ov.html>`__
102-
103-

‎docs/articles_en/openvino-workflow.rst

+4-5
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@@ -13,8 +13,7 @@ OpenVINO Workflow
1313
Model Preparation <openvino-workflow/model-preparation>
1414
openvino-workflow/model-optimization
1515
Running Inference <openvino-workflow/running-inference>
16-
Deployment on a Local System <openvino-workflow/deployment-locally>
17-
Deployment on a Model Server <openvino-workflow/model-server/ovms_what_is_openvino_model_server>
16+
Deployment on a Local System <openvino-workflow/deployment-locally>
1817
openvino-workflow/torch-compile
1918

2019

@@ -86,11 +85,11 @@ OpenVINO uses the following functions for reading, converting, and saving models
8685
and the quickest way of running a deep learning model.
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| :doc:`Deployment Option 1. Using OpenVINO Runtime <openvino-workflow/deployment-locally>`
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| Deploy a model locally, reading the file directly from your application and utilizing about-openvino/additional-resources available to the system.
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| Deploy a model locally, reading the file directly from your application and utilizing resources available to the system.
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| Deployment on a local system uses the steps described in the section on running inference.
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| :doc:`Deployment Option 2. Using Model Server <openvino-workflow/model-server/ovms_what_is_openvino_model_server>`
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| Deploy a model remotely, connecting your application to an inference server and utilizing external about-openvino/additional-resources, with no impact on the app's performance.
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| :doc:`Deployment Option 2. Using Model Server <../model-server/ovms_what_is_openvino_model_server>`
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| Deploy a model remotely, connecting your application to an inference server and utilizing external resources, with no impact on the app's performance.
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| Deployment on OpenVINO Model Server is quick and does not require any additional steps described in the section on running inference.
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| :doc:`Deployment Option 3. Using torch.compile for PyTorch 2.0 <openvino-workflow/torch-compile>`

‎docs/articles_en/openvino-workflow/running-inference/stateful-models.rst

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You can find more examples demonstrating how to work with states in other articles:
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* `LLaVA-NeXT Multimodal Chatbot notebook <../../notebooks/llava-next-multimodal-chatbot-with-output.html>`__
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* :doc:`Serving Stateful Models with OpenVINO Model Server <../../openvino-workflow/model-server/ovms_docs_stateful_models>`
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* :doc:`Serving Stateful Models with OpenVINO Model Server <../../model-server/ovms_docs_stateful_models>`

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