feat: Port SGLang from v1 to v2 #20
Workflow file for this run
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| name: PR - SGLang | |
| on: | |
| pull_request: | |
| branches: | |
| - main | |
| paths: | |
| - "docker/sglang/**" | |
| permissions: | |
| contents: read | |
| concurrency: | |
| group: pr-sglang-${{ github.event.pull_request.number }} | |
| cancel-in-progress: true | |
| jobs: | |
| check-changes: | |
| runs-on: ubuntu-latest | |
| outputs: | |
| sglang-sagemaker: ${{ steps.changes.outputs.sglang-sagemaker }} | |
| steps: | |
| - uses: actions/checkout@v5 | |
| - uses: actions/setup-python@v6 | |
| with: | |
| python-version: "3.12" | |
| - uses: pre-commit/action@v3.0.1 | |
| with: | |
| extra_args: --all-files | |
| - name: Detect file changes | |
| id: changes | |
| uses: dorny/paths-filter@v3 | |
| with: | |
| filters: | | |
| sglang-sagemaker: | |
| - "docker/sglang/Dockerfile" | |
| build-sglang-image: | |
| needs: [check-changes] | |
| if: needs.check-changes.outputs.sglang-sagemaker == 'true' | |
| runs-on: | |
| - codebuild-runner-${{ 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:sglang-0.5.5-gpu-py312-cu129-ubuntu22.04-sagemaker-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 sglang-sagemaker \ | |
| -f docker/sglang/Dockerfile . | |
| - name: Docker Push and save image URI artifact | |
| run: | | |
| docker push $IMAGE_URI | |
| docker rmi $IMAGE_URI | |
| echo $IMAGE_URI > image_uri.txt | |
| - name: Upload image URI artifact | |
| uses: actions/upload-artifact@v4 | |
| with: | |
| name: sglang-sagemaker-image-uri | |
| path: image_uri.txt | |
| sglang-regression-test: | |
| needs: [build-sglang-image] | |
| if: needs.build-sglang-image.result == 'success' | |
| runs-on: | |
| - codebuild-runner-${{ github.run_id }}-${{ github.run_attempt }} | |
| fleet:x86-g6xl-runner | |
| steps: | |
| - name: Checkout DLC source | |
| uses: actions/checkout@v5 | |
| - name: Container Pull | |
| uses: ./.github/actions/container-pull | |
| with: | |
| aws_region: ${{ secrets.AWS_REGION }} | |
| aws_account_id: ${{ secrets.AWS_ACCOUNT_ID }} | |
| artifact_name: sglang-sagemaker-image-uri | |
| # - 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: sglang-sagemaker-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 SGLang Tests | |
| uses: actions/checkout@v5 | |
| with: | |
| repository: sgl-project/sglang | |
| ref: v0.5.5 | |
| path: sglang_source | |
| - name: Setup for SGLang Datasets | |
| run: | | |
| mkdir -p ${HOME}/dataset | |
| if [ ! -f ${HOME}/dataset/ShareGPT_V3_unfiltered_cleaned_split.json ]; then | |
| echo "Downloading ShareGPT dataset..." | |
| wget -P ${HOME}/dataset https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered/resolve/main/ShareGPT_V3_unfiltered_cleaned_split.json | |
| else | |
| echo "ShareGPT dataset already exists. Skipping download." | |
| fi | |
| - name: Start container | |
| run: | | |
| # CONTAINER_ID=$(docker run -d -it --rm --gpus=all --entrypoint /bin/bash \ | |
| CONTAINER_ID=$(docker run -d -it --rm --gpus=all \ | |
| -v ${HOME}/.cache/huggingface:/root/.cache/huggingface \ | |
| -v ${HOME}/dataset:/dataset \ | |
| -v ./sglang_source:/workdir --workdir /workdir \ | |
| -p 30000:30000 \ | |
| -e SM_SGLANG_MODEL_PATH=Qwen/Qwen3-0.6B \ | |
| -e SM_SGLANG_REASONING_PARSER=qwen3 \ | |
| -e SM_SGLANG_HOST=127.0.0.1 \ | |
| -e SM_SGLANG_PORT=30000 \ | |
| -e HF_TOKEN=${{ secrets.HUGGING_FACE_HUB_TOKEN }} \ | |
| ${IMAGE_URI}) | |
| echo "CONTAINER_ID=$CONTAINER_ID" >> $GITHUB_ENV | |
| echo "Printing container startup logs ..." | |
| docker logs ${CONTAINER_ID} | |
| - name: Setup for SGLang Test | |
| run: | | |
| docker exec ${CONTAINER_ID} sh -c ' | |
| set -eux | |
| # bash scripts/ci/ci_install_dependency.sh | |
| ' | |
| - name: Run SGLang Tests | |
| run: | | |
| docker exec ${CONTAINER_ID} python3 -m sglang.bench_serving \ | |
| --backend sglang \ | |
| --host 127.0.0.1 --port 30000 \ | |
| --num-prompts 1000 \ | |
| --model Qwen/Qwen3-0.6B \ | |
| --dataset-name sharegpt \ | |
| --dataset-path /dataset/ShareGPT_V3_unfiltered_cleaned_split.json | |
| # docker exec ${CONTAINER_ID} sh -c ' | |
| # set -eux | |
| # nvidia-smi | |
| # | |
| # # Regression Frontend Language Test | |
| # cd /workdir/test/per_commit | |
| # python3 test_choices.py | |
| # # python3 run_suite.py --suite per-commit | |
| # | |
| # # # Regression Backend Runtime Test | |
| # # cd /workdir/test/srt | |
| # # python3 run_suite.py --suite per-commit-1-gpu | |
| # ' | |
| - 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 |