Change runner from gpu-p4d-runner to gpu-standard-runners #4
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| name: Test - P4D 4 GPUs | |
| on: | |
| workflow_dispatch: | |
| push: | |
| paths: | |
| - ".github/workflows/test-p4d-4gpus.yaml" | |
| jobs: | |
| vllm-4gpu-test: | |
| runs-on: gpu-standard-runners | |
| steps: | |
| - name: Checkout code | |
| uses: actions/checkout@v5 | |
| - name: Pull vLLM image | |
| run: docker pull public.ecr.aws/deep-learning-containers/vllm:0.13.0-gpu-py312-ec2 | |
| - name: Start vLLM container (4 GPUs) | |
| run: | | |
| CONTAINER_ID=$(docker run -d --rm --gpus '"device=1,2"' \ | |
| -p 8000:8000 \ | |
| public.ecr.aws/deep-learning-containers/vllm:0.13.0-gpu-py312-ec2) | |
| echo "CONTAINER_ID=$CONTAINER_ID" >> $GITHUB_ENV | |
| echo "Container ID: $CONTAINER_ID" | |
| sleep 200 | |
| docker logs --tail 60 ${CONTAINER_ID} | |
| - name: Verify GPU allocation | |
| run: | | |
| echo "=== GPU Info ===" | |
| docker exec ${CONTAINER_ID} nvidia-smi | |
| - name: Show container logs | |
| if: always() | |
| run: docker logs ${CONTAINER_ID} || true | |
| - name: Cleanup | |
| if: always() | |
| run: docker stop ${CONTAINER_ID} || true |