Deep Speaker CI workflow (philipperemy/deep-speaker)

The Deep Speaker CI workflow from philipperemy/deep-speaker, explained and optimized by Latchkey.

What it does

This is the Deep Speaker CI workflow from the philipperemy/deep-speaker 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: Deep Speaker CI

on: [ push, pull_request ]

jobs:
  build:

    runs-on: ubuntu-latest
    strategy:
      max-parallel: 4
      matrix:
        python-version: [ 3.9 ]

    steps:
      - uses: actions/checkout@v4
      - name: Set up Python ${{ matrix.python-version }}
        uses: actions/setup-python@v4
        with:
          python-version: ${{ matrix.python-version }}
      - name: Install dependencies
        run: |
          sudo apt-get update
          sudo apt-get install libsndfile1-dev
          python -m pip install --upgrade pip
          pip install tox flake8
      - name: Download checkpoints
        run: |
          wget -nv -O ResCNN_triplet_training_checkpoint_265.h5 https://drive.google.com/uc\?export\=download\&id\=1F9NvdrarWZNktdX9KlRYWWHDwRkip_aP
      - name: Lint with flake8
        run: |
          # 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 --max-complexity 10 --max-line-length 127 --statistics
      - name: Test with tox
        run: |
          tox

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: Deep Speaker CI
 
on: [ push, pull_request ]
 
concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true
 
jobs:
  build:
    timeout-minutes: 30
 
    runs-on: latchkey-small
    strategy:
      max-parallel: 4
      matrix:
        python-version: [ 3.9 ]
 
    steps:
      - uses: actions/checkout@v4
      - name: Set up Python ${{ matrix.python-version }}
        uses: actions/setup-python@v4
        with:
          cache: 'pip'
          python-version: ${{ matrix.python-version }}
      - name: Install dependencies
        run: |
          sudo apt-get update
          sudo apt-get install libsndfile1-dev
          python -m pip install --upgrade pip
          pip install tox flake8
      - name: Download checkpoints
        run: |
          wget -nv -O ResCNN_triplet_training_checkpoint_265.h5 https://drive.google.com/uc\?export\=download\&id\=1F9NvdrarWZNktdX9KlRYWWHDwRkip_aP
      - name: Lint with flake8
        run: |
          # 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 --max-complexity 10 --max-line-length 127 --statistics
      - name: Test with tox
        run: |
          tox
 

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.
• 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
• Network fetches

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