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","."]
code: def __init__(self, feature_dims: List[int]):
      super().__init__()
      _verify_feature_dim(feature_dims)
      self._output_dim = sum(feature_dims)
  
imports: from typing import Callable, List
  import torch
  import torch.nn
label_desc: Use image node_id 1 to create a new ConcatFusion object from inherited base classes: nn with example: obj = ConcatFusion(feature_dims)