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Tyler Titsworth
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Merge branch 'main' into tylertitsworth/tf-serving-chart
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‎.github/workflows/container-ci.yaml

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- name: Cleanup
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if: always()
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run: docker rmi -f ${{ secrets.REGISTRY }}/${{ secrets.REPO }}:${{ matrix.container }}
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- uses: github/codeql-action/upload-sarif@2c779ab0d087cd7fe7b826087247c2c81f27bfa6 # v3.26.5
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- uses: github/codeql-action/upload-sarif@4dd16135b69a43b6c8efb853346f8437d92d3c93 # v3.26.6
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with:
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sarif_file: '${{ matrix.container }}-scan.sarif'
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category: '${{ matrix.container }}'

‎.github/workflows/docs.yaml

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with:
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egress-policy: audit
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- uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332 # v4.1.7
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- uses: actions/setup-python@39cd14951b08e74b54015e9e001cdefcf80e669f # v5.1.1
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- uses: actions/setup-python@f677139bbe7f9c59b41e40162b753c062f5d49a3 # v5.2.0
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with:
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python-version: 3.8
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cache: pip

‎.github/workflows/scorecard.yaml

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results_format: sarif
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repo_token: ${{ secrets.GITHUB_TOKEN }}
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publish_results: true
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- uses: actions/upload-artifact@834a144ee995460fba8ed112a2fc961b36a5ec5a # v4.3.6
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- uses: actions/upload-artifact@50769540e7f4bd5e21e526ee35c689e35e0d6874 # v4.4.0
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with:
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name: SARIF file
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path: results.sarif
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retention-days: 5
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- uses: github/codeql-action/upload-sarif@2c779ab0d087cd7fe7b826087247c2c81f27bfa6 # v3.26.5
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- uses: github/codeql-action/upload-sarif@4dd16135b69a43b6c8efb853346f8437d92d3c93 # v3.26.6
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with:
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sarif_file: results.sarif

‎.github/workflows/security-report.yaml

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sarifReportDir: ${{ github.workspace }}
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template: report
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token: ${{ secrets.GITHUB_TOKEN }}
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- uses: actions/upload-artifact@834a144ee995460fba8ed112a2fc961b36a5ec5a # v4.3.6
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- uses: actions/upload-artifact@50769540e7f4bd5e21e526ee35c689e35e0d6874 # v4.4.0
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with:
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name: Security Report Summary
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path: ./*.pdf

‎.github/workflows/test-runner-ci.yaml

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registry: ${{ secrets.REGISTRY }}
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username: ${{ secrets.REGISTRY_USER }}
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password: ${{ secrets.REGISTRY_TOKEN }}
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- uses: actions/setup-python@39cd14951b08e74b54015e9e001cdefcf80e669f # v5.1.1
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- uses: actions/setup-python@f677139bbe7f9c59b41e40162b753c062f5d49a3 # v5.2.0
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with:
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python-version: ${{ matrix.python }}
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- name: Install requirements
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registry: ${{ secrets.REGISTRY }}
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username: ${{ secrets.REGISTRY_USER }}
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password: ${{ secrets.REGISTRY_TOKEN }}
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- uses: actions/setup-python@39cd14951b08e74b54015e9e001cdefcf80e669f # v5.1.1
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- uses: actions/setup-python@f677139bbe7f9c59b41e40162b753c062f5d49a3 # v5.2.0
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with:
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python-version: "3.8"
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- name: Test Container Group

‎classical-ml/jupyter-requirements.txt

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jupyterlab==4.2.4
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jupyterlab==4.2.5
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jupyterhub==5.1.0
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notebook==7.2.1
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notebook==7.2.2
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jupyter-server-proxy>=4.1.2

‎docs/requirements.txt

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mkdocs-callouts>=1.13.2
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mkdocs-git-authors-plugin>=0.8.0
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mkdocs-git-revision-date-localized-plugin>=1.2.5
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mkdocs-material==9.5.33
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mkdocs-material==9.5.34
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mkdocs-table-reader-plugin>=2.1.0
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mkdocs==1.6.0
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mkdocs==1.6.1
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pandas>=2.0.3
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pymdown-extensions>=10.8.1
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python_on_whales>=0.71.0

‎python/README.md

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# Intel® Distribution for Python
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# Intel® Distribution for Python*
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[Intel® Distribution for Python] enhances performance and can improve your program speed from 10 to 100 times faster. It is a Python distribution that includes the [Intel® Math Kernel Library] (oneMKL) and other Intel performance libraries to enable near-native performance through acceleration of core numerical and machine learning packages.
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[Intel® Distribution for Python] is available as part of the [Intel® oneAPI Base Toolkit](https://software.intel.com/content/www/us/en/develop/tools/oneapi/base-toolkit.html).
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[Intel® Distribution for Python*] enhances performance and can improve your program speed from 10 to 100 times faster. It is a Python* distribution that includes the [Intel® Math Kernel Library] (oneMKL) and other Intel performance libraries to enable near-native performance through acceleration of core numerical and machine learning packages.
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## Images
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The images below include variations for only the core packages in the [Intel® Distribution for Python] installation, or all of the packages.
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The images below include variations for only the core packages in the [Intel® Distribution for Python*] installation, or all of the packages.
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| Tag(s) | IDP |
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| ---------------------- | ---------- |
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| `3.10-full`, `latest` | `2024.2.0` |
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| `3.10-core` | `2024.2.0` |
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## Build from Source
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## Run a Performance Sample
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To run a performance sample run the following commands:
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```bash
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git clone https://github.com/intel/ai-containers
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cd ai-containers/python
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docker run --rm -it \
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-v $PWD/tests:/tests \
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intel/python:latest \
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python /tests/perf_sample.py
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```
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### Compare the results against stock python
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In the previous command, you should see a result at the bottom like: `Time Consuming: 0.03897857666015625`. We can compare this against `python:3.11-slim-bullseye`
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```bash
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# Use the working directory from the above command
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docker run --rm -it \
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-v $PWD/tests:/tests \
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python:3.11-slim-bullseye \
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bash
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pip install numpy
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python /tests/perf_sample.py
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```
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## Build from Source (Advanced)
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To build the images from source, clone the [AI Containers](https://github.com/intel/ai-containers) repository, follow the main `README.md` file to setup your environment, and run the following command:
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| Service Name | Description |
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| ------------ | ------------------------------------------------------------------- |
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| `idp` | Base image with [Intel® Distribution for Python] |
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| `pip` | Equivalent python image without [Intel® Distribution for Python] |
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| `idp` | Base image with [Intel® Distribution for Python*] |
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| `pip` | Equivalent python image without [Intel® Distribution for Python*] |
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## License
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<!--Below are links used in these document. They are not rendered: -->
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[Intel® Distribution for Python]: https://www.intel.com/content/www/us/en/developer/tools/oneapi/distribution-for-python.html#gs.9bos9m
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[Intel® Distribution for Python*]: https://www.intel.com/content/www/us/en/developer/tools/oneapi/distribution-for-python.html#gs.9bos9m
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[Intel® Math Kernel Library]: https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html

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