A Comprehensive Guide to Named Tensors in PyTorch: Factory Functions, Alignment, Indexing, and More Named tensors are an advanced feature in PyTorch that allows you to assign specific names to each dimension in a tensor, enhancing readability, reducing bugs, and streamlining operations. By incorporating named tensors into workflows, developers can reference dimensions by name rather … Continue reading named_tensors_