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 __init__(self, *args, **kwargs):
      super().__init__(*args, **kwargs)
  
file_path: pyro/pyro/distributions/torch_transform.py
imports: import torch
label_desc: Use image node_id 1 to create a new TransformModule object from inherited base classes: torch.distributions, torch.nn with example: obj = TransformModule()