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Testing workflow (learnables/learn2learn)

The Testing workflow from learnables/learn2learn, explained and optimized by Latchkey.

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CI health: C - fair

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Source: learnables/learn2learn.github/workflows/python_unittest.yamlLicense MITView source

What it does

This is the Testing workflow from the learnables/learn2learn 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

workflow (.yml)

name: Testing

on: [push, pull_request, create]

jobs:
    tests:
        runs-on: ${{ matrix.os }}
        strategy:
            matrix:
                os: [ubuntu-22.04, ubuntu-latest, macos-latest]
                python: ['3.8']
                pytorch: ['1.4.0', '1.5.0', '1.6.0', '1.7.0', '1.8.0', '1.9.0', '1.10.0', '1.13.1']
                include:
                    - pytorch: '1.4.0'
                      torchvision: '0.5.0'
                    - pytorch: '1.5.0'
                      torchvision: '0.6.0'
                    - pytorch: '1.6.0'
                      torchvision: '0.7.0'
                    - pytorch: '1.7.0'
                      torchvision: '0.8.0'
                    - pytorch: '1.8.0'
                      torchvision: '0.9.0'
                    - pytorch: '1.9.0'
                      torchvision: '0.10.0'
                    - pytorch: '1.10.0'
                      torchvision: '0.11.1'
                    - pytorch: '1.13.1'
                      torchvision: '0.14.0'
                exclude:
                    - pytorch: '1.3.0'
                      python: '3.8'
                    - pytorch: '1.4.0'
                      python: '3.9'
                    - pytorch: '1.5.0'
                      python: '3.9'
                    - pytorch: '1.6.0'
                      python: '3.9'
                    - pytorch: '1.7.0'
                      python: '3.9'

        steps:
            - name: Clone Repository
              uses: actions/checkout@v3
              with:
                ref: ${{ github.ref }}
            - name: Set up Python
              uses: actions/setup-python@v4
              with:
                python-version: ${{ matrix.python }}
                cache: 'pip'
                architecture: x64
            - name: Install Dependencies
              run: |
                  python3 --version
                  python3 -m pip install -U pip
                  pip3 install cython pybind11
                  pip3 install scipy==1.10.1
                  pip3 install torch==${{ matrix.pytorch }}
                  pip3 install torchvision==${{ matrix.torchvision }}
                  pip3 install chardet==3.0.4  # can be remove when fix in: https://github.com/aio-libs/aiohttp/issues/5366
                  pip3 install requests numpy gym gsutil tqdm
                  make dev
            - name: Lint Code
              run: make lint
            - name: Run Tests
              run: make tests

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: Testing
 
on: [push, pull_request, create]
 
concurrency:
    group: ${{ github.workflow }}-${{ github.ref }}
    cancel-in-progress: true
 
jobs:
    tests:
        runs-on: ${{ matrix.os }}
        strategy:
            matrix:
                os: [ubuntu-22.04, ubuntu-latest, macos-latest]
                python: ['3.8']
                pytorch: ['1.4.0', '1.5.0', '1.6.0', '1.7.0', '1.8.0', '1.9.0', '1.10.0', '1.13.1']
                include:
                    - pytorch: '1.4.0'
                      torchvision: '0.5.0'
                    - pytorch: '1.5.0'
                      torchvision: '0.6.0'
                    - pytorch: '1.6.0'
                      torchvision: '0.7.0'
                    - pytorch: '1.7.0'
                      torchvision: '0.8.0'
                    - pytorch: '1.8.0'
                      torchvision: '0.9.0'
                    - pytorch: '1.9.0'
                      torchvision: '0.10.0'
                    - pytorch: '1.10.0'
                      torchvision: '0.11.1'
                    - pytorch: '1.13.1'
                      torchvision: '0.14.0'
                exclude:
                    - pytorch: '1.3.0'
                      python: '3.8'
                    - pytorch: '1.4.0'
                      python: '3.9'
                    - pytorch: '1.5.0'
                      python: '3.9'
                    - pytorch: '1.6.0'
                      python: '3.9'
                    - pytorch: '1.7.0'
                      python: '3.9'
 
        steps:
            - name: Clone Repository
              uses: actions/checkout@v3
              with:
                ref: ${{ github.ref }}
            - name: Set up Python
              uses: actions/setup-python@v4
              with:
                  cache: 'pip'
                python-version: ${{ matrix.python }}
                cache: 'pip'
                architecture: x64
            - name: Install Dependencies
              run: |
                  python3 --version
                  python3 -m pip install -U pip
                  pip3 install cython pybind11
                  pip3 install scipy==1.10.1
                  pip3 install torch==${{ matrix.pytorch }}
                  pip3 install torchvision==${{ matrix.torchvision }}
                  pip3 install chardet==3.0.4  # can be remove when fix in: https://github.com/aio-libs/aiohttp/issues/5366
                  pip3 install requests numpy gym gsutil tqdm
                  make dev
            - name: Lint Code
              run: make lint
            - name: Run Tests
              run: make tests

What changed

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:

This workflow runs 1 job (24 with the matrix expanded) per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.

Actions used in this workflow

actions/checkout actions/setup-python