Added get-aocc script #286
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| name: MLC script automation features test | |
| on: | |
| pull_request_target: | |
| branches: [ "main", "dev" ] | |
| paths: | |
| - '.github/workflows/test-mlc-script-features.yml' | |
| - '**' | |
| - '!**.md' | |
| jobs: | |
| test_mlc_script_features: | |
| runs-on: ${{ matrix.os }} | |
| strategy: | |
| fail-fast: false | |
| matrix: | |
| python-version: ["3.12", "3.8"] | |
| os: ["ubuntu-latest", "windows-latest", "macos-latest"] | |
| steps: | |
| - uses: actions/checkout@v4 | |
| - name: Set up Python ${{ matrix.python-version }} | |
| uses: actions/setup-python@v3 | |
| with: | |
| python-version: ${{ matrix.python-version }} | |
| - name: Configure git longpaths (Windows) | |
| if: matrix.os == 'windows-latest' | |
| run: | | |
| git config --system core.longpaths true | |
| - name: Pull MLOps repository | |
| run: | | |
| pip install mlcflow | |
| mlc pull repo ${{ github.event.pull_request.head.repo.html_url }} --branch=${{ github.event.pull_request.head.ref }} | |
| - name: Test Python venv | |
| run: | | |
| mlcr install,python-venv --name=test --quiet | |
| mlc search cache --tags=get,python,virtual,name-test --quiet | |
| - name: Test variations | |
| run: | | |
| mlcr get,dataset,preprocessed,imagenet,_NHWC --quiet | |
| mlc search cache --tags=get,dataset,preprocessed,imagenet,-_NCHW | |
| mlc search cache --tags=get,dataset,preprocessed,imagenet,-_NHWC | |
| - name: Test versions | |
| continue-on-error: true | |
| if: runner.os == 'linux' | |
| run: | | |
| mlcr get,generic-python-lib,_package.scipy --version=1.9.3 --quiet | |
| test $? -eq 0 || exit $? | |
| mlcr get,generic-python-lib,_package.scipy --version=1.9.2 --quiet | |
| test $? -eq 0 || exit $? | |
| # Need to add find cache here | |
| # mlcr get,generic-python-lib,_package.scipy --version=1.9.3 --quiet --only_execute_from_cache=True | |
| # test $? -eq 0 || exit 0 | |
| - name: Test python install from src | |
| run: | | |
| mlcr python,src,install,_shared --version=3.9.10 --quiet | |
| mlc search cache --tags=python,src,install,_shared,version-3.9.10 | |
| test_docker: | |
| runs-on: ubuntu-latest | |
| strategy: | |
| fail-fast: false | |
| matrix: | |
| python-version: ["3.12", "3.8"] | |
| steps: | |
| - uses: actions/checkout@v4 | |
| - name: Set up Python ${{ matrix.python-version }} | |
| uses: actions/setup-python@v3 | |
| with: | |
| python-version: ${{ matrix.python-version }} | |
| - name: Pull MLOps repository | |
| run: | | |
| pip install mlcflow | |
| mlc pull repo ${{ github.event.pull_request.head.repo.html_url }} --branch=${{ github.event.pull_request.head.ref }} | |
| - name: Run docker container from dockerhub on linux | |
| run: | | |
| mlcr run,docker,container --adr.compiler.tags=gcc --docker_mlc_repo=mlcommons@mlperf-automations --docker_mlc_repo_branch=dev --image_name=cm-script-app-image-classification-onnx-py --env.MLC_DOCKER_RUN_SCRIPT_TAGS=app,image-classification,onnx,python --env.MLC_DOCKER_IMAGE_BASE=ubuntu:22.04 --env.MLC_DOCKER_IMAGE_REPO=cknowledge --quiet | |
| - name: Run docker container locally on linux | |
| run: | | |
| mlcr run,docker,container --adr.compiler.tags=gcc --docker_mlc_repo=mlcommons@mlperf-automations --docker_mlc_repo_branch=dev --image_name=mlc-script-app-image-classification-onnx-py --env.MLC_DOCKER_RUN_SCRIPT_TAGS=app,image-classification,onnx,python --env.MLC_DOCKER_IMAGE_BASE=ubuntu:22.04 --env.MLC_DOCKER_IMAGE_REPO=local --quiet | |
| test_mlperf_retinanet_cpp_venv: | |
| runs-on: ubuntu-latest | |
| strategy: | |
| fail-fast: false | |
| matrix: | |
| python-version: ["3.12", "3.8"] | |
| steps: | |
| - uses: actions/checkout@v4 | |
| - name: Set up Python ${{ matrix.python-version }} | |
| uses: actions/setup-python@v3 | |
| with: | |
| python-version: ${{ matrix.python-version }} | |
| - name: Pull MLOps repository | |
| run: | | |
| pip install mlcflow | |
| mlc pull repo ${{ github.event.pull_request.head.repo.html_url }} --branch=${{ github.event.pull_request.head.ref }} | |
| - name: Run MLPerf Inference Retinanet with native and virtual Python | |
| run: | | |
| mlcr app,mlperf,inference,generic,_cpp,_retinanet,_onnxruntime,_cpu --adr.python.version_min=3.8 --adr.compiler.tags=gcc --adr.openimages-preprocessed.tags=_50 --scenario=Offline --mode=accuracy --test_query_count=10 --rerun --quiet | |
| mlcr app,mlperf,inference,generic,_cpp,_retinanet,_onnxruntime,_cpu --adr.python.version_min=3.8 --adr.compiler.tags=gcc --adr.openimages-preprocessed.tags=_50 --scenario=Offline --mode=performance --test_query_count=10 --rerun --quiet | |
| mlcr install,python-venv --version=3.10.8 --name=mlperf --quiet | |
| export MLC_SCRIPT_EXTRA_CMD="--adr.python.name=mlperf" | |
| mlcr run,mlperf,inference,_submission,_short --adr.python.version_min=3.8 --adr.compiler.tags=gcc --adr.openimages-preprocessed.tags=_50 --submitter=MLCommons --implementation=cpp --hw_name=default --model=retinanet --backend=onnxruntime --device=cpu --scenario=Offline --quiet | |
| # Step for Linux/MacOS | |
| - name: Randomly Execute Step (Linux/MacOS) | |
| if: runner.os != 'Windows' | |
| run: | | |
| RANDOM_NUMBER=$((RANDOM % 10)) | |
| echo "Random number is $RANDOM_NUMBER" | |
| if [ "$RANDOM_NUMBER" -eq 0 ]; then | |
| echo "run_step=true" >> $GITHUB_ENV | |
| else | |
| echo "run_step=false" >> $GITHUB_ENV | |
| fi | |
| # Step for Windows | |
| - name: Randomly Execute Step (Windows) | |
| if: runner.os == 'Windows' | |
| run: | | |
| $RANDOM_NUMBER = Get-Random -Maximum 10 | |
| Write-Host "Random number is $RANDOM_NUMBER" | |
| if ($RANDOM_NUMBER -eq 0) { | |
| Write-Host "run_step=true" | Out-File -FilePath $Env:GITHUB_ENV -Append | |
| } else { | |
| Write-Host "run_step=false" | Out-File -FilePath $Env:GITHUB_ENV -Append | |
| } | |
| - name: Retrieve secrets from Keeper | |
| if: github.repository_owner == 'mlcommons' && env.run_step == 'true' | |
| id: ksecrets | |
| uses: Keeper-Security/ksm-action@master | |
| with: | |
| keeper-secret-config: ${{ secrets.KSM_CONFIG }} | |
| secrets: |- | |
| ubwkjh-Ii8UJDpG2EoU6GQ/field/Access Token > env:PAT | |
| - name: Push Results | |
| env: | |
| GITHUB_TOKEN: ${{ env.PAT }} | |
| if: github.repository_owner == 'mlcommons' && env.run_step == 'true' | |
| run: | | |
| git config --global user.name "mlcommons-bot" | |
| git config --global user.email "[email protected]" | |
| git config --global credential.https://github.com.helper "" | |
| git config --global credential.https://github.com.helper "!gh auth git-credential" | |
| git config --global credential.https://gist.github.com.helper "" | |
| git config --global credential.https://gist.github.com.helper "!gh auth git-credential" | |
| mlcr push,github,mlperf,inference,submission --repo_url=https://github.com/mlcommons/mlperf_inference_test_submissions_v5.0 --repo_branch=auto-update --commit_message="Results from R50 GH action on ${{ matrix.os }}" --quiet |