Add ansible stage for building CUDA plugin #1
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| name: build-cuda-plugin | |
| on: | |
| workflow_call: | |
| inputs: | |
| dev-image: | |
| required: true | |
| type: string | |
| description: Base image for builds | |
| runner: | |
| required: false | |
| type: string | |
| description: Runner type for the test | |
| default: linux.12xlarge | |
| cuda: | |
| required: false | |
| type: string | |
| description: Whether to build XLA with CUDA | |
| default: 1 | |
| secrets: | |
| gcloud-service-key: | |
| required: true | |
| description: Secret to access Bazel build cache | |
| outputs: | |
| docker-image: | |
| value: ${{ jobs.build.outputs.docker-image }} | |
| description: The docker image containing the built PyTorch. | |
| jobs: | |
| build: | |
| runs-on: ${{ inputs.runner }} | |
| container: | |
| image: ${{ inputs.dev-image }} | |
| volumes: | |
| - ${GITHUB_WORKSPACE}/dist/:/dist/ | |
| env: | |
| GCLOUD_SERVICE_KEY: ${{ secrets.gcloud-service-key }} | |
| BAZEL_JOBS: 16 | |
| BAZEL_REMOTE_CACHE: 1 | |
| steps: | |
| - name: Checkout repo | |
| uses: actions/checkout@v3 | |
| - name: Setup gcloud | |
| shell: bash | |
| run: | | |
| echo "${GCLOUD_SERVICE_KEY}" >> default_credentials.json | |
| - name: Build | |
| shell: bash | |
| run: | | |
| cd infra/ansible | |
| # TODO: don't clone everything again | |
| ansible-playbook playbook.yaml -e "stage=build_cuda arch=amd64 accelerator=cuda" --skip-tags=install_deps | |
| - name: actions/upload-artifact@v4 | |
| with: | |
| name: cuda-plugin | |
| path: ${GITHUB_WORKSPACE}/dist/*.whl |