class_docstr: Concatenates all inputs by their temporal dimension which is assumed to be dim=1.
class_docstr_tok: ["Concatenates","all","inputs","by","their","temporal","dimension","which","is","assumed","to","be","dim=1","."]
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 TemporalConcatFusion obj's underlying member method code with example usage: obj.output_dim() and returns: self