How does PyTorch handle memory aliasing in backward pass?

PyTorch tracks aliasing relationships to ensure correctness when tensors share memory.

During forward pass, operations like view, reshape, and slice may create aliases. Autograd tracks version counters and storage IDs to ensure backward computations do not use invalid or overwritten memory regions.