2X training speed improvement: prefetch next batch from the data loader while running current batch #1987
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
BloodAxe
reviewed
May 10, 2024
BloodAxe
reviewed
May 10, 2024
BloodAxe
reviewed
May 10, 2024
|
It seems your build fails due to code formatting issues. Please check https://github.com/Deci-AI/super-gradients/blob/master/CONTRIBUTING.md to learn how to configure pre-commit hooks and signed commits. |
…equest to manage auto cleanup.
…equest to manage auto cleanup.
fixed with the precommit hook and black |
|
I think this is failing due to my force push. I'll recreate the pull request. |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
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Outdated suggestions cannot be applied.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.
This improves my training speed by 2x. This fetches the next batch of images while processing the current batch. Results may vary based on system.
My setup:
2x NVIDIA 4090
10900k
64GB RAM
M.2 Storage for coco dataset
Epoch time: 34 minutes to 14 minutes.