linux-cp313 workflow (leptonai/leptonai)

The linux-cp313 workflow from leptonai/leptonai, explained and optimized by Latchkey.

What it does

This is the linux-cp313 workflow from the leptonai/leptonai 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: linux-cp313

on:
  pull_request:
    branches: ["**"]

permissions:
  contents: read

jobs:
  test:
    runs-on: ubuntu-latest

    steps:
      - uses: actions/checkout@v3
      - name: Set up Python 3.13
        uses: actions/setup-python@v4
        with:
          python-version: "3.13"
          cache: "pip" # caching pip dependencies
      - name: Install dependencies
        run: |
          pip install -U pip setuptools
      - name: Test with pytest
        run: |
          if ! hash nvidia-smi 2>/dev/null; then
             echo "nvidia-smi not found on host, installing cpu version of torch"
             pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu
          fi
          pip install .
          echo "leptonai package version:"
          lep -v

          pip install .[test]
          cd ..
          pytest -x leptonai
          cd -

The same workflow, on Latchkey

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

name: linux-cp313
 
on:
  pull_request:
    branches: ["**"]
 
permissions:
  contents: read
 
concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true
 
jobs:
  test:
    timeout-minutes: 30
    runs-on: latchkey-small
 
    steps:
      - uses: actions/checkout@v3
      - name: Set up Python 3.13
        uses: actions/setup-python@v4
        with:
          python-version: "3.13"
          cache: "pip" # caching pip dependencies
      - name: Install dependencies
        run: |
          pip install -U pip setuptools
      - name: Test with pytest
        run: |
          if ! hash nvidia-smi 2>/dev/null; then
             echo "nvidia-smi not found on host, installing cpu version of torch"
             pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu
          fi
          pip install .
          echo "leptonai package version:"
          lep -v
 
          pip install .[test]
          cd ..
          pytest -x leptonai
          cd -

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 1 job per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.

Actions used in this workflow