What is tensor memory layout and why does it matter for performance?

Memory layout defines how tensor elements are arranged in physical memory.

Row-major (C-contiguous) layout allows efficient sequential access. Non-contiguous layouts caused by transpose or permute reduce cache efficiency and may require copying for optimized kernels.