Migrate vLLM Ray Serve Container #16
Workflow file for this run
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| name: Example Workflow | |
| on: | |
| pull_request: | |
| branches: | |
| - main | |
| permissions: | |
| contents: read | |
| concurrency: | |
| group: pr-${{ github.event.pull_request.number }} | |
| cancel-in-progress: true | |
| jobs: | |
| check-changes: | |
| runs-on: ubuntu-latest | |
| outputs: | |
| vllm-rayserve-ec2: ${{ steps.changes.outputs.vllm-rayserve-ec2 }} | |
| steps: | |
| - uses: actions/checkout@v5 | |
| - uses: actions/setup-python@v6 | |
| with: | |
| python-version: "3.12" | |
| - uses: pre-commit/action@v3.0.1 | |
| with: | |
| extra_args: --all-files | |
| - name: Detect file changes | |
| id: changes | |
| uses: dorny/paths-filter@v3 | |
| with: | |
| filters: | | |
| vllm-rayserve-ec2: | |
| - "docker/vllm/Dockerfile.rayserve" | |
| build-vllm-rayserve-ec2-image: | |
| needs: [check-changes] | |
| if: needs.check-changes.outputs.vllm-rayserve-ec2 == 'true' | |
| runs-on: | |
| - codebuild-runner-${{ github.run_id }}-${{ github.run_attempt }} | |
| fleet:x86-build-runner | |
| outputs: | |
| image_uri: ${{ steps.build.outputs.image_uri }} | |
| steps: | |
| - uses: actions/checkout@v5 | |
| - run: .github/scripts/runner_setup.sh | |
| - run: .github/scripts/buildkitd.sh | |
| - name: Build vllm-rayserve-ec2 image | |
| id: build | |
| shell: bash | |
| run: | | |
| aws ecr get-login-password --region ${{ secrets.AWS_REGION }} | docker login --username AWS --password-stdin ${{ secrets.AWS_ACCOUNT_ID }}.dkr.ecr.${{ secrets.AWS_REGION }}.amazonaws.com | |
| IMAGE_TAG=${{ secrets.AWS_ACCOUNT_ID }}.dkr.ecr.${{ secrets.AWS_REGION }}.amazonaws.com/ci:vllm-0.10.2-gpu-py312-cu128-ubuntu22.04-rayserve-ec2-pr-${{ github.event.pull_request.number }} | |
| docker buildx build --progress plain \ | |
| --build-arg CACHE_REFRESH="$(date +"%Y-%m-%d")" \ | |
| --cache-to=type=inline \ | |
| --cache-from=type=registry,ref="$IMAGE_TAG" \ | |
| --tag "$IMAGE_TAG" \ | |
| --target vllm-rayserve-ec2 \ | |
| -f docker/vllm/Dockerfile.rayserve . | |
| docker push "$IMAGE_TAG" | |
| docker rmi "$IMAGE_TAG" | |
| echo "image_uri=$IMAGE_TAG" >> "$GITHUB_OUTPUT" | |
| test-vllm-rayserve-ec2-image: | |
| needs: [build-vllm-rayserve-ec2-image] | |
| if: needs.build-vllm-rayserve-ec2-image.result == 'success' | |
| runs-on: | |
| - codebuild-runner-${{ github.run_id }}-${{ github.run_attempt }} | |
| fleet:x86-g6xl-runner | |
| steps: | |
| - uses: actions/checkout@v5 | |
| - name: Use built image | |
| run: | | |
| IMAGE_URI=${{ needs.build-vllm-rayserve-ec2-image.outputs.image_uri }} | |
| echo "Testing image: $IMAGE_URI" | |
| aws ecr get-login-password --region ${{ secrets.AWS_REGION }} | docker login --username AWS --password-stdin ${{ secrets.AWS_ACCOUNT_ID }}.dkr.ecr.${{ secrets.AWS_REGION }}.amazonaws.com | |
| docker pull "$IMAGE_URI" | |
| docker run --rm "$IMAGE_URI" python -c "import torch; import ray; import vllm; print('Test OK')" |