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# This workflow will install Python dependencies, run tests and lint with a variety of Python versions | ||
# For more information see: https://docs.github.com/en/ actions/automating-builds-and-tests/building-and-testing-python | ||
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name: Python package | ||
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on: | ||
push: | ||
branches: | ||
- '*' # Runs on push to any branch | ||
pull_request: | ||
branches: | ||
- '*' # Runs on pull requests to any branch | ||
workflow_dispatch: # Allows for manual triggering | ||
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jobs: | ||
build: | ||
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runs-on: ubuntu-latest | ||
strategy: | ||
fail-fast: false | ||
matrix: | ||
python-version: ["3.10"] | ||
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steps: | ||
- name: Checkout code | ||
uses: actions/checkout@v3 | ||
with: | ||
token: ${{ secrets.GH_MOBIUS_PIPELINE_TOKEN }} | ||
submodules: recursive | ||
- name: Bootstrap poetry | ||
run: | | ||
curl -sSL https://install.python-poetry.org | python - -y | ||
- name: Update PATH | ||
run: echo "$HOME/.local/bin" >> $GITHUB_PATH | ||
- name: Install dependencies | ||
run: poetry install | ||
- name: Test with pytest | ||
run: poetry run pytest |
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import torch | ||
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def is_gpu_available() -> bool: | ||
""" | ||
Check if a GPU is available. | ||
Returns: | ||
bool: True if a GPU is available, False otherwise. | ||
""" | ||
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return torch.cuda.is_available() |
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