Global cache_dir
variable for exact, fuzzy, and semantic deduplication
#197
Workflow file for this run
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name: "GPU CI/CD" | |
on: | |
push: | |
branches: | |
- main | |
pull_request: | |
branches: | |
# We can run gpuCI on any PR targeting these branches | |
- 'main' | |
- '[rv][0-9].[0-9].[0-9]' | |
- '[rv][0-9].[0-9].[0-9]rc[0-9]' | |
# PR has to be labeled with "gpuCI" label | |
# If new commits are added, the "gpuCI" label has to be removed and re-added to rerun gpuCI | |
types: [ labeled ] | |
concurrency: | |
group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }} | |
cancel-in-progress: true | |
jobs: | |
# First, we build and push a NeMo-Curator container | |
build-container: | |
# "build-container" job is run if the "gpuci" label is added to the PR | |
if: ${{ github.event.label.name == 'gpuci' || github.ref == 'refs/heads/main' }} | |
uses: NVIDIA/NeMo-FW-CI-templates/.github/workflows/[email protected] | |
with: | |
image-name: nemo_curator_container | |
dockerfile: Dockerfile | |
image-label: nemo-curator | |
build-args: | | |
IMAGE_LABEL=nemo-curator | |
REPO_URL=https://github.com/${{ github.repository }}.git | |
CURATOR_COMMIT=${{ github.sha }} | |
prune-filter-timerange: 24h | |
# Then, we run our PyTests in the container we just built | |
run-gpu-tests: | |
needs: build-container | |
# This is the tag on our Azure runner found in Actions -> Runners -> Self-hosted runners | |
# It has 2 A100 GPUs | |
runs-on: self-hosted-azure | |
# "run-gpu-tests" job is run if the "gpuci" label is added to the PR | |
if: ${{ github.event.label.name == 'gpuci' || github.ref == 'refs/heads/main' }} | |
steps: | |
# If something went wrong during the last cleanup, this step ensures any existing container is removed | |
- name: Remove existing container if it exists | |
run: | | |
if [ "$(docker ps -aq -f name=nemo-curator-container)" ]; then | |
docker rm -f nemo-curator-container | |
fi | |
# This runs the container which was pushed by build-container, which we call "nemo-curator-container" | |
# `--gpus all` ensures that all of the GPUs from our self-hosted-azure runner are available in the container | |
# We use "github.run_id" to identify the PR with the commits we want to run the PyTests with | |
# `bash -c "sleep infinity"` keeps the container running indefinitely without exiting | |
- name: Run Docker container | |
run: | | |
docker run --gpus all --name nemo-curator-container -d nemoci.azurecr.io/nemo_curator_container:${{ github.run_id }} bash -c "sleep infinity" | |
# Expect `whoami` to be "azureuser" | |
# Expect `nvidia-smi` to show our 2 A100 GPUs | |
- name: Check GPUs | |
run: | | |
whoami | |
docker exec nemo-curator-container nvidia-smi | |
# In the virtual environment (called "curator") we created in the container, | |
# list all of our packages. Useful for debugging | |
- name: Verify installations | |
run: | | |
docker exec nemo-curator-container pip list | |
# In the virtual environment (called "curator") we created in the container, | |
# run our PyTests marked with `@pytest.mark.gpu` | |
# We specify the `rootdir` to help locate the "pyproject.toml" file (which is in the root directory of the repository), | |
# and then the directory where the PyTests are located | |
- name: Run PyTests with GPU mark | |
run: | | |
docker exec nemo-curator-container pytest -m gpu --rootdir /opt/NeMo-Curator /opt/NeMo-Curator/tests | |
# After running `docker stop`, the container remains in an exited state | |
# It is still present on our system and could be restarted with `docker start` | |
# Thus, we use `docker rm` to permanently removed it from the system | |
- name: Cleanup | |
if: always() | |
run: | | |
docker stop nemo-curator-container && docker rm nemo-curator-container |