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Migrate vLLM Container #6

Migrate vLLM Container

Migrate vLLM Container #6

Workflow file for this run

name: PR - vLLM
on:
pull_request:
branches:
- main
paths:
- "docker/**"
permissions:
contents: read
concurrency:
group: pr-vllm-${{ github.event.pull_request.number }}
cancel-in-progress: true
jobs:
check-changes:
runs-on: ubuntu-latest
outputs:
vllm-ec2: ${{ steps.changes.outputs.vllm-ec2 }}
steps:
- uses: actions/checkout@v5
- uses: actions/setup-python@v6
with:
python-version: "3.12"
- uses: pre-commit/action@v3.0.1
with:
extra_args: --all-files
- name: Detect file changes
id: changes
uses: dorny/paths-filter@v3
with:
filters: |
vllm-ec2:
- "docker/vllm/Dockerfile"
build-image:
needs: [check-changes]
if: needs.check-changes.outputs.vllm-ec2 == 'true'
runs-on:
- codebuild-runner-${{ github.run_id }}-${{ github.run_attempt }}
fleet:x86-build-runner
steps:
- uses: actions/checkout@v5
- run: .github/scripts/runner_setup.sh
- run: .github/scripts/buildkitd.sh
- name: ECR login
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
- name: Resolve image URI for build
run: |
IMAGE_URI=${{ secrets.AWS_ACCOUNT_ID }}.dkr.ecr.${{ secrets.AWS_REGION }}.amazonaws.com/ci:vllm-0.11.0-gpu-py312-cu128-ubuntu22.04-ec2-pr-${{ github.event.pull_request.number }}
echo "Image URI to build: $IMAGE_URI"
echo "IMAGE_URI=$IMAGE_URI" >> $GITHUB_ENV
- name: Build image
run: |
docker buildx build --progress plain \
--build-arg CACHE_REFRESH="$(date +"%Y-%m-%d")" \
--cache-to=type=inline \
--cache-from=type=registry,ref=$IMAGE_URI \
--tag $IMAGE_URI \
--target vllm-ec2 \
-f docker/vllm/Dockerfile .
- name: Docker Push and save image URI artifact
run: |
docker push $IMAGE_URI
docker rmi $IMAGE_URI
echo $IMAGE_URI > image_uri.txt
- name: Upload image URI artifact
uses: actions/upload-artifact@v4
with:
name: vllm-ec2-image-uri
path: image_uri.txt
regression-test:
needs: [build-image]
if: needs.build-image.result == 'success'
runs-on:
- codebuild-runner-${{ github.run_id }}-${{ github.run_attempt }}
fleet:x86-g6xl-runner
steps:
- name: Checkout DLC source
uses: actions/checkout@v5
- name: ECR login
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
- name: Download image URI artifact
uses: actions/download-artifact@v4
with:
name: vllm-ec2-image-uri
- name: Resolve image URI for test
run: |
IMAGE_URI=$(cat image_uri.txt)
echo "Resolved image URI: $IMAGE_URI"
echo "IMAGE_URI=$IMAGE_URI" >> $GITHUB_ENV
- name: Pull image
run: |
docker pull $IMAGE_URI
- name: Checkout vLLM Tests
uses: actions/checkout@v5
with:
repository: vllm-project/vllm
ref: v0.11.0
path: vllm_source
- name: Start container
run: |
CONTAINER_ID=$(docker run -d -it --rm --gpus=all --entrypoint /bin/bash \
-v ${HOME}/.cache/huggingface:/root/.cache/huggingface \
-v ${HOME}/.cache/vllm:/root/.cache/vllm \
-v ./vllm_source:/workdir --workdir /workdir \
-e HUGGING_FACE_HUB_TOKEN=${{ secrets.HUGGING_FACE_HUB_TOKEN }} \
${IMAGE_URI})
echo "CONTAINER_ID=$CONTAINER_ID" >> $GITHUB_ENV
- name: Setup for vLLM Test
run: |
docker exec ${CONTAINER_ID} sh -c '
set -eux
uv pip install --system -r requirements/common.txt -r requirements/dev.txt --torch-backend=auto
uv pip install --system pytest pytest-asyncio
uv pip install --system -e tests/vllm_test_utils
uv pip install --system hf_transfer
mkdir src
mv vllm src/vllm
'
- name: Run vLLM Tests
run: |
docker exec ${CONTAINER_ID} sh -c '
set -eux
nvidia-smi
# Regression Test # 7min
cd /workdir/tests
uv pip install --system modelscope
pytest -v -s test_regression.py
'
- name: Cleanup container and images
if: always()
run: |
docker rm -f ${CONTAINER_ID} || true
docker image prune -a --force --filter "until=24h"
docker system df