Jinqi Chen contributed to the pytorch/pytorch repository by addressing a critical issue in the DLPack export process. Focusing on C++ development and tensor manipulation, Jinqi implemented a fix that restricts stride normalization to only 1D tensors during export, thereby preserving the memory layout information for multi-dimensional tensors. This change ensures that downstream frameworks relying on DLPack maintain correct tensor layouts, improving interoperability and data integrity. The solution required careful attention to memory management and a deep understanding of tensor structures. Jinqi’s work reflects a thoughtful approach to maintaining compatibility and correctness in complex data exchange scenarios.