Take gradient accumulation into account when defining samplers #15095
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
What does this PR do?
This PR takes the gradient accumulation steps into account when defining samplers that use the batch size (like the
LengthGroupedSampler
) so that training with large batch size or training with smaller batch size and gradient accumulation (e.g. batch size 64 or batch size 8 and gradient accumulation steps of 8) yield the same results.Fixes #14638