pytorch - 💡(How to fix) Fix Feedback about torch.Tensor.to [1 comments, 2 participants]

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pytorch/pytorch#180461Fetched 2026-04-17 08:22:22
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The example of the page: https://docs.pytorch.org/docs/stable/generated/torch.Tensor.to.html is very unclear in demonstrating what tensor.to(other) does (currently, it seems like it does nothing?), as well as not showing if to modifies the tensor, or creates another object (yes I know there is an argument copy but still, not clear at all for beginners).

cc @svekars @sekyondaMeta @AlannaBurke

extent analysis

TL;DR

The documentation for torch.Tensor.to() needs clarification on its behavior, particularly regarding its effect on the original tensor and the role of the copy argument.

Guidance

  • Review the documentation for torch.Tensor.to() to ensure it clearly explains the method's behavior, including whether it modifies the original tensor or creates a new one.
  • Consider adding examples to demonstrate the difference between using torch.Tensor.to() with and without the copy argument.
  • Verify that the documentation accurately reflects the method's behavior, potentially by referencing the source code or testing the method directly.
  • Update the documentation to include clear explanations and examples for beginners, addressing the current ambiguity.

Example

No code snippet is provided as the issue is related to documentation clarity rather than code functionality.

Notes

The issue highlights a need for improved documentation rather than a bug in the code itself. Enhancing the documentation with clear explanations and examples will help beginners understand how to use torch.Tensor.to() effectively.

Recommendation

Apply workaround: Improve the documentation for torch.Tensor.to() to provide clear explanations and examples, especially for beginners, as this will directly address the issue of unclear behavior.

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pytorch - 💡(How to fix) Fix Feedback about torch.Tensor.to [1 comments, 2 participants]