deploy workflow (hyz-xmaster/swa_object_detection)
The deploy workflow from hyz-xmaster/swa_object_detection, explained and optimized by Latchkey.
CI health: D - needs work
Point runs-on at Latchkey and get caching, run de-duplication, job timeouts, self-healing for flaky steps, and up to 58% lower cost, applied automatically.
What it does
This is the deploy workflow from the hyz-xmaster/swa_object_detection 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: deploy
on: push
jobs:
build-n-publish:
runs-on: ubuntu-latest
if: startsWith(github.event.ref, 'refs/tags')
steps:
- uses: actions/checkout@v2
- name: Set up Python 3.7
uses: actions/setup-python@v2
with:
python-version: 3.7
- name: Install torch
run: pip install torch
- name: Install wheel
run: pip install wheel
- name: Build MMDetection
run: python setup.py sdist bdist_wheel
- name: Publish distribution to PyPI
run: |
pip install twine
twine upload dist/* -u __token__ -p ${{ secrets.pypi_password }}
The same workflow, on Latchkey
Estimated ~20% faster on cache hits, plus fewer wasted runs and a safer supply chain. Added and changed lines are highlighted.
name: deploy on: push concurrency: group: ${{ github.workflow }}-${{ github.ref }} cancel-in-progress: true jobs: build-n-publish: timeout-minutes: 30 runs-on: latchkey-small if: startsWith(github.event.ref, 'refs/tags') steps: - uses: actions/checkout@v2 - name: Set up Python 3.7 uses: actions/setup-python@v2 with: cache: 'pip' python-version: 3.7 - name: Install torch run: pip install torch - name: Install wheel run: pip install wheel - name: Build MMDetection run: python setup.py sdist bdist_wheel - name: Publish distribution to PyPI run: | pip install twine twine upload dist/* -u __token__ -p ${{ secrets.pypi_password }}
What changed
- Run on Latchkey managed runners with one line (
runs-on), which apply the fixes below automatically and self-heal transient failures. This example useslatchkey-small; pick the runner size that fits the job. - Cancel superseded runs when a branch or PR gets a newer push.
- Cache dependency installs on the setup step so they are served from cache.
- 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.