{{ message }}
DOC: clarify DLPack GPU tensor example with device='cpu' workaround#30989
Merged
Conversation
Update the DLPack example in the interoperability docs to show that since DLPack v1, cross-device copy is supported via the device parameter. The example now shows that np.from_dlpack(x_torch, device='cpu') works for GPU tensors. Closes #30936
mattip
approved these changes
Mar 11, 2026
mattip
left a comment
mattip
left a comment
Member
There was a problem hiding this comment.
LGTM thanks. Will let it sit for a bit so other reviewers can take a look.
Contributor
Member
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
4 participants
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
PR summary
np.from_dlpack(x_torch, device='cpu')works for GPU tensors since DLPack v1 supports cross-device copyCloses #30936
First time committer introduction
I use NumPy extensively for numerical computing. This is my first contribution to the NumPy project.
AI Disclosure
No AI tools used.