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Super Kai (Kazuya Ito) @superkai_kazuya

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.

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*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...