class_docstr: a custom module for outputting a list of tensors from a list of nn modules
class_docstr_tok: ["a","custom","module","for","outputting","a","list","of","tensors","from","a","list","of","nn","modules"]
code: def __init__(self, modules):
      super().__init__(modules)
  
imports: from inspect import isclass
  import torch
  import torch.nn
  from pyro.distributions.util import broadcast_shape
label_desc: Use image node_id 1 to create a new ListOutModule object from inherited base classes: nn with example: obj = ListOutModule(modules)