This repository has been archived by the owner on Nov 17, 2023. It is now read-only.
Use multi-tensor zeroing for resetting grads #19894
Merged
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Outdated suggestions cannot be applied.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.
Description
Use multi-tensor kernel strategy for resetting gradients.
Undo #16716
Checklist
Essentials
Changes
Comments
Performance observed training BERT-large on single V100 GPU:
........................................................................Throughput samples / s
BatchSize - BatchAccumulation............Pre-Change............This-PR (multi-tensor )............ Improvement(%)
................4 - 2 .............................................. 29.82 ..........................36.24.............................................. 21.5
................4 - 4............................................... 36.89............................41.45..............................................12.3
................8 - 4............................................... 45.25............................48.41.............................................. 6.9