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 forward(self, *args, **kwargs):
      # loop over modules in self, apply same args
      return [mm.forward(*args, **kwargs) for mm in self]
  
imports: from inspect import isclass
  import torch
  import torch.nn
  from pyro.distributions.util import broadcast_shape
label_desc: Use image node_id 2 for calling the ListOutModule obj's underlying member method code with example usage: obj.forward() and returns: unknown