class_docstr: Generic fusion method which takes a callable which takes the list of input tensors
  and expects a single tensor to be used. This class can be used to implement fusion
  methods like "sum", "max" and "prod".
class_docstr_tok: ["Generic","fusion","method","which","takes","a","callable","which","takes","the","list","of","input","tensors","and","expects","a","single","tensor","to","be","used",".","This","class","can","be","used","to","implement","fusion","methods","like","``","sum","''",",","``","max","''","and","``","prod","''","."]
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 ReduceFusion obj's underlying member method code with example usage: obj.output_dim() and returns: self