Stacking Tensors With Torch: A Comprehensive Guide
stack() in PyTorch: stack tensors along specified dimension with optional out argument for result tensor. Examples and usage shown.
Buy Me a Coffee☕ *Memos: My post explains hstack() and column_stack(). My post explains vstack() and dstack(). My post explains cat(). stack() can get the 1D or more D stacked tensor of zero or more elements from the one or more 0D or more D tensors of zero or more elements as shown below: *Memos: stack() can be used with torch but not with a tensor. The 1st argument with torch is tensors(Required-Type:tuple or list of tensor of int, float, complex or bool). *The size of tensors must be the same. The 2nd argument with torch is dim(Optional-Default:0-Type:int). There is out argument with t...