Skip to content

Conversation

SkafteNicki
Copy link
Collaborator

@SkafteNicki SkafteNicki commented Aug 14, 2025

What does this PR do?

Fixes #21023
Fixes #21022

The two issues linked was raised back-to-back basically contains the same confusion:

What happens in distributed settings with the batch size?

One is related to the effective batch size in distributed settings the other to limit_*_batches arguments. In both cases I have tried to make it clear that in distributed settings the values are not global but instead per device.

Connected to this when i tried to look for the documentation on hardware acceleration I could not initially find it. It was due to me not connecting the headline Interactive cloud development to hardware acceleration. I guess it was originally named that to highlight lightning.ai as a service, but that is not mention it the docs. So the headline feels very confusing. If this is too much, I can revert this change.

Before submitting
  • Was this discussed/agreed via a GitHub issue? (not for typos and docs)
  • Did you read the contributor guideline, Pull Request section?
  • Did you make sure your PR does only one thing, instead of bundling different changes together?
  • Did you make sure to update the documentation with your changes? (if necessary)
  • Did you write any new necessary tests? (not for typos and docs)
  • Did you verify new and existing tests pass locally with your changes?
  • Did you list all the breaking changes introduced by this pull request?
  • Did you update the CHANGELOG? (not for typos, docs, test updates, or minor internal changes/refactors)

PR review

Anyone in the community is welcome to review the PR.
Before you start reviewing, make sure you have read the review guidelines. In short, see the following bullet-list:

Reviewer checklist
  • Is this pull request ready for review? (if not, please submit in draft mode)
  • Check that all items from Before submitting are resolved
  • Make sure the title is self-explanatory and the description concisely explains the PR
  • Add labels and milestones (and optionally projects) to the PR so it can be classified

📚 Documentation preview 📚: https://pytorch-lightning--21070.org.readthedocs.build/en/21070/

@SkafteNicki SkafteNicki self-assigned this Aug 14, 2025
@SkafteNicki SkafteNicki added the docs Documentation related label Aug 14, 2025
@github-actions github-actions bot added the pl Generic label for PyTorch Lightning package label Aug 14, 2025
Copy link
Collaborator

@lantiga lantiga left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Looks good!

@Borda Borda merged commit d3996ad into Lightning-AI:master Sep 2, 2025
89 checks passed
Borda added a commit that referenced this pull request Sep 3, 2025
* improve gpu_faq
* add per device text
* header
* Apply suggestions from code review

---------

Co-authored-by: Jirka Borovec <[email protected]>
(cherry picked from commit d3996ad)
lantiga pushed a commit that referenced this pull request Sep 5, 2025
* improve gpu_faq
* add per device text
* header
* Apply suggestions from code review

---------

Co-authored-by: Jirka Borovec <[email protected]>
(cherry picked from commit d3996ad)
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
docs Documentation related pl Generic label for PyTorch Lightning package
Projects
None yet
Development

Successfully merging this pull request may close these issues.

DDP Strategy Does Not Automatically Shard Batch Sizes Despite Documentation Claims Trainer parameter limit-train-batches was meant to be per-worker
4 participants