Stop warnings from unnecessary torch.tensor() overuse #36538
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
|
Hi 👋, thank you for opening this pull request! The pull request is converted to draft by default. When it is ready for review, please click the |
4 tasks
|
cc @ArthurZucker @Cyrilvallez for core maintainer review |
Cyrilvallez
approved these changes
Mar 11, 2025
Rocketknight1
force-pushed
the
stop_torch_tensor_warnings
branch
from
143b536 to
2856b39
Compare
|
The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update. |
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Outdated suggestions cannot be applied.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.
Users are getting errors caused by calling
torch.tensor()on an input that is already a tensor. This is unnecessary becausekernel_size - stridewill already be a new tensor object, and so it doesn't need to be cloned/detached/converted withtorch.tensor().Fixes #36533