pytorch/.github/scripts/README.md
Ning Xu 527b646f4b Refactor to extract label_utils from export_pytorch_labels (#94179)
Part of fixing #88098

## Context

This is 1/3 PRs to address issue 88098 (move label check failure logic from `check_labels.py` workflow to `trymerge.py` mergebot. Due to the messy cross-script imports and potential circular dependencies, it requires some refactoring to the scripts before, the functional PR can be cleanly implemented.

## What Changed
1. Extract extracts label utils fcns to a `label_utils.py` module from the `export_pytorch_labels.py` script.
2. Small improvements to naming, interface and test coverage

## Note to Reviewers
This series of PRs is to replace the original PR https://github.com/pytorch/pytorch/pull/92682 to make the changes more modular and easier to review.

* 1st PR: this one
* 2nd PR: https://github.com/Goldspear/pytorch/pull/2
* 3rd PR: https://github.com/Goldspear/pytorch/pull/3

Pull Request resolved: https://github.com/pytorch/pytorch/pull/94179
Approved by: https://github.com/ZainRizvi
2023-02-09 19:17:05 +00:00

3 KiB

pytorch/.github

NOTE: This README contains information for the .github directory but cannot be located there because it will overwrite the repo README.

This directory contains workflows and scripts to support our CI infrastructure that runs on GitHub Actions.

Workflows

  • Pull CI (pull.yml) is run on PRs and on master.
  • Trunk CI (trunk.yml) is run on trunk to validate incoming commits. Trunk jobs are usually more expensive to run so we do not run them on PRs unless specified.
  • Scheduled CI (periodic.yml) is a subset of trunk CI that is run every few hours on master.
  • Binary CI is run to package binaries for distribution for all platforms.

Templates

Templates written in Jinja are located in the .github/templates directory and used to generate workflow files for binary jobs found in the .github/workflows/ directory. These are also a couple of utility templates used to discern common utilities that can be used amongst different templates.

(Re)Generating workflow files

You will need jinja2 in order to regenerate the workflow files which can be installed using:

pip install -r .github/requirements/regenerate-requirements.txt

Workflows can be generated / regenerated using the following command:

.github/regenerate.sh

Adding a new generated binary workflow

New generated binary workflows can be added in the .github/scripts/generate_ci_workflows.py script. You can reference examples from that script in order to add the workflow to the stream that is relevant to what you particularly care about.

Different parameters can be used to achieve different goals, i.e. running jobs on a cron, running only on trunk, etc.

ciflow (trunk)

The label ciflow/trunk can be used to run trunk only workflows. This is especially useful if trying to re-land a PR that was reverted for failing a non-default workflow.

Infra

Currently most of our self hosted runners are hosted on AWS, for a comprehensive list of available runner types you can reference .github/scale-config.yml.

Exceptions to AWS for self hosted:

  • ROCM runners

Adding new runner types

New runner types can be added by committing changes to .github/scale-config.yml. Example: https://github.com/pytorch/pytorch/pull/70474

NOTE: New runner types can only be used once the changes to .github/scale-config.yml have made their way into the default branch

Testing pytorch/builder changes

In order to test changes to the builder scripts:

  1. Specify your builder PR's branch and repo as builder_repo and builder_branch in .github/templates/common.yml.j2.
  2. Regenerate workflow files with .github/regenerate.sh (see above).
  3. Submit fake PR to PyTorch. If changing binaries build, add an appropriate label like ciflow/binaries to trigger the builds.