Refactor: switch GradScaler import from torch.cuda.amp to torch.amp #3437
+19
−19
Conversation
This file contains hidden or 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
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Outdated suggestions cannot be applied.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.
Fixes #3435
Description:
I have made change in code from torch.cuda.amp import GradScaler to from torch.amp import GradScaler.
• torch.amp provides a unified AMP interface across devices.
• Using torch.cuda.amp restricts AMP usage to CUDA-only environments.
• This change helps Ignite better support PyTorch’s full AMP ecosystem in a clean and future-proof way.
No new functionality added — this is a safe refactor with no effect on runtime behavior.