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- run : helm-run --run-entries simple1:model=simple/model1 --max-eval-instances 10 --suite test
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- run : helm-summarize --suite test
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- run : helm-server --help
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+
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+ # Tests that the Optimum Intel command works when only installing required dependencies
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+ name : Run Optimum Intel with minimal dependencies only
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+ runs-on : ubuntu-latest
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+ strategy :
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+ matrix :
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+ python-version : ["3.8", "3.9", "3.10"]
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+ steps :
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+ - uses : actions/checkout@v4
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+ - name : Set up Python ${{ matrix.python-version }}
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+ uses : actions/setup-python@v5
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+ with :
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+ python-version : ${{ matrix.python-version }}
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+ cache : pip
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+ - run : python3 -m pip install --upgrade build
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+ - run : python3 -m build
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+ - run : python3 -m pip install dist/crfm_helm-*.whl[openvino]
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+ - run : helm-run --run-entries boolq:model=stanford-crfm/BioMedLM --enable-huggingface-models stanford-crfm/BioMedLM --suite v1 --max-eval-instances 10 --openvino
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test :
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name : Run all tests
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VERSION : ${{ github.head_ref || 'main' }}
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- name : Run entire pipeline quickly without any data
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# Checking RunSpecs with openai/davinci should be comprehensive enough
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- run : source venv/bin/activate && helm-run --suite test -m 100 --skip-instances --models-to-run openai/davinci --exit-on-error
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- run : source venv/bin/activate && helm-run --run-entries boolq:model=stanford-crfm/BioMedLM --enable-huggingface-models stanford-crfm/BioMedLM --suite v1 --max-eval-instances 10 --openvino
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+ run : source venv/bin/activate && helm-run --suite test -m 100 --skip-instances --models-to-run openai/davinci --exit-on-error
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