
Jorge Carrasco Muriel enhanced the PyTorch repository by improving the documentation for the torch.Tensor.permute method. He focused on clarifying the input arguments and providing concrete usage examples, ensuring the documentation accurately reflected the API’s semantics. Using Python and his expertise in technical documentation, Jorge identified common points of confusion, updated the docstring to specify that permute does not accept variadic arguments for dims, and streamlined the developer experience. His work reduced user errors and support queries by aligning documentation with actual behavior, and he demonstrated a complete documentation workflow from issue identification through pull request review and maintainer collaboration.
December 2025: Focused on developer experience in PyTorch by delivering targeted documentation improvements for Tensor.permute, clarifying input arguments, and providing concrete usage examples. This work aligns docs with actual API semantics, reducing common misuse and support queries, while demonstrating strong collaboration with maintainers and an efficient PR workflow.
December 2025: Focused on developer experience in PyTorch by delivering targeted documentation improvements for Tensor.permute, clarifying input arguments, and providing concrete usage examples. This work aligns docs with actual API semantics, reducing common misuse and support queries, while demonstrating strong collaboration with maintainers and an efficient PR workflow.

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