Run FA2-related unit tests workflow (huggingface/nanotron)
The Run FA2-related unit tests workflow from huggingface/nanotron, explained and optimized by Latchkey.
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This is the Run FA2-related unit tests workflow from the huggingface/nanotron repository, a real project running GitHub Actions. It is shown here with attribution under its Apache-2.0 license.
Below, Latchkey shows a faster, safer version produced by its optimization engine.
The workflow
name: Run FA2-related unit tests
on:
workflow_dispatch:
push:
branches: [ main ]
# Only run tests if we modify the following files
paths:
- "src/**/*.py"
- "examples/**/*.py"
- "tests/**/*.py"
pull_request:
branches: [ '**' ]
paths:
- "src/**/*.py"
- "examples/**/*.py"
- "tests/**/*.py"
jobs:
tests:
runs-on:
group: aws-g5-4xlarge-plus
container:
image: runpod/pytorch:2.1.1-py3.10-cuda12.1.1-devel-ubuntu22.04
ports:
- 80
options: --gpus all --shm-size "8G"
steps:
- uses: actions/checkout@v3
- name: Python environment
run: |
which python
python --version
- name: Check Pytorch version
run: |
nvidia-smi
python -c "import torch; print('torch:', torch.__version__, torch)"
python -c "import torch; print('CUDA available:', torch.cuda.is_available())"
- name: Install nanotron
run: |
python -m pip install --upgrade pip
pip install packaging
pip install wheel
pip install "flash-attn>=2.5.0" --no-build-isolation
pip install -e .
pip install -e .[dev]
pip install -e .[test]
- name: Show installed libraries and their versions
run: pip freeze | tee installed.txt
- name: Run tests
# NOTE: -m fa2 will only run the unit tests that have the mark
# "fa2" (these are FA2-related tests)
run: pytest -m fa2 --color=yes --durations=0 --ignore tests/fp8 --ignore tests/nanoset --verbose tests/
The same workflow, on Latchkey
Removes redundant runs and caps runaway jobs. Added and changed lines are highlighted.
name: Run FA2-related unit tests on: workflow_dispatch: push: branches: [ main ] # Only run tests if we modify the following files paths: - "src/**/*.py" - "examples/**/*.py" - "tests/**/*.py" pull_request: branches: [ '**' ] paths: - "src/**/*.py" - "examples/**/*.py" - "tests/**/*.py" concurrency: group: ${{ github.workflow }}-${{ github.ref }} cancel-in-progress: true jobs: tests: timeout-minutes: 30 runs-on: group: aws-g5-4xlarge-plus container: image: runpod/pytorch:2.1.1-py3.10-cuda12.1.1-devel-ubuntu22.04 ports: - 80 options: --gpus all --shm-size "8G" steps: - uses: actions/checkout@v3 - name: Python environment run: | which python python --version - name: Check Pytorch version run: | nvidia-smi python -c "import torch; print('torch:', torch.__version__, torch)" python -c "import torch; print('CUDA available:', torch.cuda.is_available())" - name: Install nanotron run: | python -m pip install --upgrade pip pip install packaging pip install wheel pip install "flash-attn>=2.5.0" --no-build-isolation pip install -e . pip install -e .[dev] pip install -e .[test] - name: Show installed libraries and their versions run: pip freeze | tee installed.txt - name: Run tests # NOTE: -m fa2 will only run the unit tests that have the mark # "fa2" (these are FA2-related tests) run: pytest -m fa2 --color=yes --durations=0 --ignore tests/fp8 --ignore tests/nanoset --verbose tests/
What changed
- Cancel superseded runs when a branch or PR gets a newer push.
- Add a job timeout so a hung step cannot burn hours of runner time.
What Latchkey heals here
This workflow has steps that commonly fail on transient issues (network, registries, flaky browsers). On Latchkey managed runners they are detected, retried, and self-healed instead of failing your build:
- Dependency installs
This workflow runs 1 job per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.