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Multi-GPU support with dask #1146

Multi-GPU support with dask

Multi-GPU support with dask #1146

Workflow file for this run

name: GPU-CI
on:
push:
branches: [main]
pull_request:
types:
- labeled
- opened
- synchronize
# Cancel the job if new commits are pushed
# https://stackoverflow.com/questions/66335225/how-to-cancel-previous-runs-in-the-pr-when-you-push-new-commitsupdate-the-curre
concurrency:
group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}
cancel-in-progress: true
jobs:
check:
runs-on: ubuntu-latest
steps:
- uses: flying-sheep/check@v1
with:
success: ${{ github.event_name == 'push' || contains(github.event.pull_request.labels.*.name, 'run-gpu-ci') }}
test:
name: GPU Tests
needs: check
runs-on: "cirun-aws-gpu--${{ github.run_id }}"
timeout-minutes: 30
defaults:
run:
shell: bash -el {0}
steps:
- uses: actions/checkout@v4
with:
fetch-depth: 0
- name: Nvidia SMI sanity check
run: nvidia-smi
- name: Install Python
uses: actions/setup-python@v5
with:
python-version: "3.11"
- name: Install UV
uses: hynek/setup-cached-uv@v2
with:
cache-dependency-path: pyproject.toml
- name: Install rapids-singlecell
run: uv pip install --system -e .[test,rapids12] --extra-index-url=https://pypi.nvidia.com
- name: Pip list
run: pip list
- name: Run test
run: pytest