class_docstr: Concatenates all inputs by their last dimension. The resulting tensor last dim will be
  the sum of the last dimension of all input tensors.
class_docstr_tok: ["Concatenates","all","inputs","by","their","last","dimension",".","The","resulting","tensor","last","dim","will","be","the","sum","of","the","last","dimension","of","all","input","tensors","."]
docstr: Last dimension size of forward(..) tensor output.
docstr_tok: ["Last","dimension","size","of","forward","(","..",")","tensor","output","."]
code: def output_dim(self):
      """
      Last dimension size of forward(..) tensor output.
      """
      return self._output_dim
  
imports: from typing import Callable, List
  import torch
  import torch.nn
label_desc: Use image node_id 2 for calling the ConcatFusion obj's underlying member method code with example usage: obj.output_dim() and returns: self