Install enroot for gpu unit tests #305
Workflow file for this run
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| name: GPU Tests | |
| on: | |
| schedule: | |
| # Runs at midnight every day | |
| - cron: '0 0 * * *' | |
| push: | |
| branches: [ main ] | |
| pull_request: | |
| workflow_dispatch: | |
| concurrency: | |
| group: gpu-test-${{ github.workflow }}-${{ github.ref == 'refs/heads/main' && github.run_number || github.ref }} | |
| cancel-in-progress: true | |
| permissions: | |
| id-token: write | |
| contents: read | |
| defaults: | |
| run: | |
| shell: bash -l -eo pipefail {0} | |
| jobs: | |
| gpu_test: | |
| if: github.repository_owner == 'meta-pytorch' | |
| runs-on: linux.g5.12xlarge.nvidia.gpu | |
| strategy: | |
| matrix: | |
| python-version: ['3.10'] | |
| steps: | |
| - name: Check out repo | |
| uses: actions/checkout@v4 | |
| - name: Install enroot | |
| run: | | |
| version="3.5.0" | |
| # Install dependencies | |
| sudo dnf install -y jq squashfs-tools parallel | |
| # Download pre-built packages | |
| curl -fSsL -O https://github.com/NVIDIA/enroot/releases/download/v${version}/enroot-${version}-1.el8.x86_64.rpm | |
| curl -fSsL -O https://github.com/NVIDIA/enroot/releases/download/v${version}/enroot+caps-${version}-1.el8.x86_64.rpm | |
| # Install packages | |
| sudo rpm -ivh enroot-${version}-1.el8.x86_64.rpm enroot+caps-${version}-1.el8.x86_64.rpm | |
| rm -f enroot*.rpm | |
| # Configure enroot to use user-writable directories | |
| mkdir -p ${HOME}/.config/enroot | |
| cat > ${HOME}/.config/enroot/enroot.conf <<EOF | |
| ENROOT_RUNTIME_PATH ${HOME}/.local/share/enroot/runtime | |
| ENROOT_CACHE_PATH ${HOME}/.local/share/enroot/cache | |
| ENROOT_DATA_PATH ${HOME}/.local/share/enroot/data | |
| EOF | |
| # Create the directories | |
| mkdir -p ${HOME}/.local/share/enroot/{runtime,cache,data} | |
| - name: Setup conda env | |
| uses: conda-incubator/setup-miniconda@v2 | |
| with: | |
| auto-update-conda: true | |
| miniconda-version: "latest" | |
| activate-environment: test | |
| python-version: ${{ matrix.python-version }} | |
| - name: Update pip | |
| run: python -m pip install --upgrade pip | |
| - name: Install pinned torch nightly | |
| run: python -m pip install --pre torch==2.9.0.dev20250905 --no-cache-dir --index-url https://download.pytorch.org/whl/nightly/cu129 | |
| - name: Download and install vLLM and its dependencies | |
| # TODO: this honestly could not be hackier if I tried | |
| run: | | |
| python -m pip install -r .github/packaging/vllm_reqs.txt | |
| python -m pip install vllm==0.10.1.dev0+g6d8d0a24c.d20251009.cu129 --no-cache-dir --index-url https://download.pytorch.org/whl/preview/forge | |
| - name: Install Monarch | |
| run: pip install torchmonarch==0.1.0rc1 | |
| - name: Install torchtitan and torchstore | |
| run: | | |
| python -m pip install git+https://github.com/pytorch/torchtitan.git | |
| python -m pip install git+https://github.com/meta-pytorch/torchstore.git | |
| - name: Install dependencies | |
| run: python -m pip install --no-build-isolation -e ".[dev]" | |
| - name: Run unit tests with coverage | |
| # TODO add all tests | |
| run: | | |
| export LD_PRELOAD=$CONDA/envs/test/lib/libpython3.10.so.1.0 | |
| export LD_LIBRARY_PATH=$CONDA/envs/test/lib/libpython3.10.so.1.0 | |
| pytest tests/unit_tests --cov=. --cov-report=xml --durations=20 -vv | |
| - name: Upload Coverage to Codecov | |
| uses: codecov/codecov-action@v3 |