Gradient checkpointing #78
Merged
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
|
:( |
|
@neverix we have a gradient checkpointing in the main training pipeline, but your version doesn't support deepspeed - so I can't merge your code right now - I beware of lost compatibility of our internal and open-source models :( I suggest creating a new branch with your version gradient checkpointing, what about it? |
|
What changes are needed for compatibility with DeepSpeed? Having this included in the default install is useful for notebooks, if it's not possible we should look for different solutions |
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Outdated suggestions cannot be applied.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 patch enables gradient checkpointing for ruDALLE.
It's possible to use up to 3x higher batch sizes in memory-limited environments during training.
Setting the
gradient_checkpointingduringmodel.forwardmakes a checkpoint everygradient_checkpointinglayers.6 is a good starting value.