Issue Assigner workflow (pytorch/TensorRT)
The Issue Assigner workflow from pytorch/TensorRT, explained and optimized by Latchkey.
A
CI health: A - excellent
Point runs-on at Latchkey and get job timeouts, self-healing for flaky steps, and up to 58% lower cost, applied automatically.
What it does
This is the Issue Assigner workflow from the pytorch/TensorRT repository, a real project running GitHub Actions. It is shown here with attribution under its BSD-3-Clause license.
Below, Latchkey shows a faster, safer version produced by its optimization engine.
The workflow
workflow (.yml)
# This workflow will triage pull requests and apply a label based on the
# paths that are modified in the pull request.
#
# To use this workflow, you will need to set up a .github/labeler.yml
# file with configuration. For more information, see:
# https://github.com/actions/labeler/blob/master/README.md
name: Issue Assigner
on:
issues:
types:
- labeled
pull_request_target:
types:
- labeled
jobs:
assign:
permissions:
contents: read
pull-requests: write
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v6
- name: Assign
uses: ./.github/actions/assigner
with:
repo-token: "${{ secrets.GITHUB_TOKEN }}"
config-path: .github/code-owners.yml
The same workflow, on Latchkey
Removes redundant runs and caps runaway jobs. Added and changed lines are highlighted.
# This workflow will triage pull requests and apply a label based on the # paths that are modified in the pull request. # # To use this workflow, you will need to set up a .github/labeler.yml # file with configuration. For more information, see: # https://github.com/actions/labeler/blob/master/README.md name: Issue Assigner on: issues: types: - labeled pull_request_target: types: - labeled jobs: assign: timeout-minutes: 30 permissions: contents: read pull-requests: write runs-on: latchkey-small steps: - name: Checkout uses: actions/checkout@v6 - name: Assign uses: ./.github/actions/assigner with: repo-token: "${{ secrets.GITHUB_TOKEN }}" config-path: .github/code-owners.yml
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 useslatchkey-small; pick the runner size that fits the job. - Add a job timeout so a hung step cannot burn hours of runner time.
This workflow runs 1 job per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.