class_docstr: Transforms with learnable parameters such as normalizing flows should inherit from this class rather
  than `Transform` so they are also a subclass of `nn.Module` and inherit all the useful methods of that class.
code: def __hash__(self):
      return super(torch.nn.Module, self).__hash__()
  
file_path: pyro/pyro/distributions/torch_transform.py
imports: import torch
label_desc: Use image node_id 2 for calling the TransformModule obj's underlying member method code with example usage: obj.__hash__() and returns: super