NVIDIA / NeMo-Aligner

Scalable toolkit for efficient model alignment

Apache License 2.0

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ci: Update cherry pick workflow #384

Closed ko3n1g closed 1 week ago

ko3n1g commented 2 weeks ago

What does this PR do ?

Features:
- Send slack alerts for non-trivial cherry picks
Fixed:
- Label parser matches rX.Y.Z* now instead of r*

Changelog

Please update the CHANGELOG.md under next version with high level changes in this PR.

Usage

You can potentially add a usage example below

# Add a code snippet demonstrating how to use this

Before your PR is "Ready for review"

Pre checks:

[ ] Make sure you read and followed Contributor guidelines
[ ] Did you write any new necessary tests?
[ ] Did you add or update any necessary documentation? Make sure to also update the NeMo Framework User Guide which contains the tutorials

Checklist when contributing a new algorithm

[ ] Does the trainer resume and restore model state all states?
[ ] Does the trainer support all parallelism techniques(PP, TP, DP)?
[ ] Does the trainer support max_steps=-1 and validation?
[ ] Does the trainer only call APIs defined in alignable_interface.py?
[ ] Does the trainer have proper logging?

Additional Information

Related to # (issue)

terrykong commented 1 week ago

closing in favor of #383