manager: use separate stream for recovery (#144) #430
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| name: Unit Tests | |
| on: | |
| push: | |
| branches: | |
| - main | |
| pull_request: | |
| jobs: | |
| unittest: | |
| strategy: | |
| fail-fast: false | |
| matrix: | |
| include: | |
| - runs-on: "linux.2xlarge" | |
| gpu-arch-type: "cpu" | |
| gpu-arch-version: "" | |
| torch-version: "stable" | |
| - runs-on: "linux.g5.12xlarge.nvidia.gpu" | |
| gpu-arch-type: "cuda" | |
| gpu-arch-version: "12.4" | |
| torch-version: "stable" | |
| - runs-on: "linux.g5.12xlarge.nvidia.gpu" | |
| gpu-arch-type: "cuda" | |
| gpu-arch-version: "12.4" | |
| torch-version: "nightly" | |
| uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main | |
| with: | |
| timeout: 120 | |
| runner: ${{ matrix.runs-on }} | |
| gpu-arch-type: ${{ matrix.gpu-arch-type }} | |
| gpu-arch-version: ${{ matrix.gpu-arch-version }} | |
| script: | | |
| set -ex | |
| # install python and protobuf | |
| conda create -n venv python=3.12 libprotobuf -y | |
| conda activate venv | |
| python -m pip install --upgrade pip | |
| # install recent version of Rust via rustup | |
| curl https://sh.rustup.rs -sSf | sh -s -- --default-toolchain=stable --profile=default -y | |
| . "$HOME/.cargo/env" | |
| # Optionally install torch nightly, pulls latest CUDA from pip otherwise | |
| if [ "${{ matrix.torch-version }}" = "nightly" ]; then | |
| pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu128 | |
| fi | |
| # Install dependencies | |
| pip install -e .[dev] -v | |
| # Run tests | |
| pytest -v | |
| cargo test -v |