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vLLM Main Branch Tests #9

vLLM Main Branch Tests

vLLM Main Branch Tests #9

name: vLLM Main Branch Tests
on:
schedule:
- cron: '0 2 * * 1' # Every Monday at 2 AM UTC
workflow_dispatch:
permissions:
contents: read
jobs:
test_vllm_main:
name: Test with vLLM main branch
runs-on: 'aws-g4dn-2xlarge-use1-public-80'
continue-on-error: true
steps:
- name: Install Git LFS
run: |
if ! command -v git-lfs &> /dev/null; then
sudo apt-get update && sudo apt-get install -y git-lfs
git lfs install
fi
- name: Checkout repository
uses: actions/checkout@v4
with:
lfs: true
- name: Install uv
uses: astral-sh/setup-uv@v5
with:
enable-cache: true
- name: Install the project
run: uv sync --extra dev-gpu
- name: Install Python development headers
run: sudo apt-get update && sudo apt-get install -y python3.12-dev
- name: Cache CUDA Toolkit
id: cache-cuda
uses: actions/cache@v4
with:
path: /usr/local/cuda-12.8
key: cuda-toolkit-12-8-${{ runner.os }}
- name: Install CUDA Toolkit
if: steps.cache-cuda.outputs.cache-hit != 'true'
run: |
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.1-1_all.deb
sudo dpkg -i cuda-keyring_1.1-1_all.deb
sudo apt-get update
sudo apt-get install -y cuda-toolkit-12-8
- name: Setup CUDA environment
run: |
echo "CUDA_HOME=/usr/local/cuda-12.8" >> $GITHUB_ENV
echo "/usr/local/cuda-12.8/bin" >> $GITHUB_PATH
- name: Verify CUDA
run: |
nvidia-smi
nvcc --version
- name: Install vLLM from main branch
run: |
uv pip uninstall -y vllm || true
uv pip install git+https://github.com/vllm-project/vllm.git@main
- name: Get vLLM version
id: vllm-info
run: |
VERSION=$(uv run python -c "import vllm; print(vllm.__version__)")
echo "version=$VERSION" >> $GITHUB_OUTPUT
echo "Testing vLLM version: $VERSION"
- name: Run tests
run: uv run pytest --disable-pytest-warnings --runslow -v -s tests/slow_tests/test_vllm_model.py