Unit Test workflow (mead-ml/mead-baseline)

The Unit Test workflow from mead-ml/mead-baseline, explained and optimized by Latchkey.

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Source: mead-ml/mead-baseline.github/workflows/unittest.ymlLicense Apache-2.0View source

What it does

This is the Unit Test workflow from the mead-ml/mead-baseline 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

workflow (.yml)

name: Unit Test

on:
  push:
    branches:
    - master
  pull_request:
    branches:
    - master

jobs:

  test-tf-2-1:
    runs-on: ubuntu-latest
    strategy:
      max-parallel: 4
      matrix:
        tf-version:
        - 2.1.0
    container: tensorflow/tensorflow:${{matrix.tf-version}}-py3
    steps:
    - uses: actions/checkout@v2
    - name: Install Baseline
      run: |
        cd layers
        pip install -e .
        cd ..
        pip install tensorflow_addons==0.9.1
        pip install -e .[test,yaml]
    - name: Unit Test Tf ${{matrix.tf-version}}
      run: |
        pytest --forked

  test-tf-2-3:
    runs-on: ubuntu-latest
    strategy:
      max-parallel: 4
      matrix:
        tf-version:
        - 2.3.0
    container: tensorflow/tensorflow:${{matrix.tf-version}}
    steps:
    - uses: actions/checkout@v2
    - name: Install Baseline
      run: |
        cd layers
        pip install -e .
        cd ..
        pip install tensorflow_addons
        pip install -e .[test,yaml]
    - name: Unit Test Tf ${{matrix.tf-version}}
      run: |
        pytest --forked

  test-pyt:
    runs-on: ubuntu-latest
    strategy:
      max-parallel: 4
      matrix:
        pyt-version:
        - 1.7.1-cuda11.0-cudnn8-runtime
    container: pytorch/pytorch:${{matrix.pyt-version}}
    steps:
    - uses: actions/checkout@v2
    - name: Install Baseline
      run: |
        cd layers
        pip install --no-use-pep517 -e .
        cd ..
        pip install --no-use-pep517 -e .[test,yaml]
    - name: Unit Test PyTorch ${{matrix.pyt-version}}
      run: |
        pytest --forked

The same workflow, on Latchkey

Removes redundant runs and caps runaway jobs. Added and changed lines are highlighted.

name: Unit Test
 
on:
  push:
    branches:
    - master
  pull_request:
    branches:
    - master
 
concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true
 
jobs:
 
  test-tf-2-1:
    timeout-minutes: 30
    runs-on: latchkey-small
    strategy:
      max-parallel: 4
      matrix:
        tf-version:
        - 2.1.0
    container: tensorflow/tensorflow:${{matrix.tf-version}}-py3
    steps:
    - uses: actions/checkout@v2
    - name: Install Baseline
      run: |
        cd layers
        pip install -e .
        cd ..
        pip install tensorflow_addons==0.9.1
        pip install -e .[test,yaml]
    - name: Unit Test Tf ${{matrix.tf-version}}
      run: |
        pytest --forked
 
  test-tf-2-3:
    timeout-minutes: 30
    runs-on: latchkey-small
    strategy:
      max-parallel: 4
      matrix:
        tf-version:
        - 2.3.0
    container: tensorflow/tensorflow:${{matrix.tf-version}}
    steps:
    - uses: actions/checkout@v2
    - name: Install Baseline
      run: |
        cd layers
        pip install -e .
        cd ..
        pip install tensorflow_addons
        pip install -e .[test,yaml]
    - name: Unit Test Tf ${{matrix.tf-version}}
      run: |
        pytest --forked
 
  test-pyt:
    timeout-minutes: 30
    runs-on: latchkey-small
    strategy:
      max-parallel: 4
      matrix:
        pyt-version:
        - 1.7.1-cuda11.0-cudnn8-runtime
    container: pytorch/pytorch:${{matrix.pyt-version}}
    steps:
    - uses: actions/checkout@v2
    - name: Install Baseline
      run: |
        cd layers
        pip install --no-use-pep517 -e .
        cd ..
        pip install --no-use-pep517 -e .[test,yaml]
    - name: Unit Test PyTorch ${{matrix.pyt-version}}
      run: |
        pytest --forked

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 uses latchkey-small; pick the runner size that fits the job.
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 3 jobs 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