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PyTorch Internals 02 - Tensors Run on Top of Storage, Size, and Stride
If you think of a tensor only as an n-dimensional array, you will misunderstand views, layouts, and hidden copies
If you think of a tensor only as an n-dimensional array, you will misunderstand views, layouts, and hidden copies