build workflow (elbayadm/attn2d)
The build workflow from elbayadm/attn2d, explained and optimized by Latchkey.
CI health: D - needs work
Run this on Latchkey for self-healing, caching, and up to 58% lower cost.
Grade your own workflow free or run it on Latchkey →What it does
This is the build workflow from the elbayadm/attn2d repository, a real project running GitHub Actions. It is shown here with attribution under its MIT license.
Below, Latchkey shows a faster, safer version produced by its optimization engine.
The workflow
name: build
on:
# Trigger the workflow on push to master or any pull request
push:
branches:
- master
pull_request:
jobs:
build:
strategy:
max-parallel: 4
matrix:
platform: [ubuntu-latest, macos-latest]
python-version: [3.6, 3.7]
runs-on: ${{ matrix.platform }}
steps:
- uses: actions/checkout@v1
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v1
with:
python-version: ${{ matrix.python-version }}
- name: Conditionally install pytorch
if: matrix.platform == 'windows-latest'
run: pip3 install torch -f https://download.pytorch.org/whl/torch_stable.html
- name: Install locally
run: |
python -m pip install --upgrade pip
python setup.py build_ext --inplace
python -m pip install --editable .
- name: Lint with flake8
run: |
pip install flake8
# stop the build if there are Python syntax errors or undefined names
flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
# exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
- name: Run tests
run: |
python setup.py test
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: build on: # Trigger the workflow on push to master or any pull request push: branches: - master pull_request: concurrency: group: ${{ github.workflow }}-${{ github.ref }} cancel-in-progress: true jobs: build: timeout-minutes: 30 strategy: max-parallel: 4 matrix: platform: [ubuntu-latest, macos-latest] python-version: [3.6, 3.7] runs-on: ${{ matrix.platform }} steps: - uses: actions/checkout@v1 - name: Set up Python ${{ matrix.python-version }} uses: actions/setup-python@v1 with: cache: 'pip' python-version: ${{ matrix.python-version }} - name: Conditionally install pytorch if: matrix.platform == 'windows-latest' run: pip3 install torch -f https://download.pytorch.org/whl/torch_stable.html - name: Install locally run: | python -m pip install --upgrade pip python setup.py build_ext --inplace python -m pip install --editable . - name: Lint with flake8 run: | pip install flake8 # stop the build if there are Python syntax errors or undefined names flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics - name: Run tests run: | python setup.py test
What changed
- 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 (4 with the matrix expanded) per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.