class_docstr: A module that builds on top of model.
  
  Args:
      name (str): Module name, also the variable scope.
docstr: Object.__getstate__.
  
  Returns:
      dict: The state to be pickled for the instance.
docstr_tok: ["Object.__getstate__",".","Returns",":","dict",":","The","state","to","be","pickled","for","the","instance","."]
code: def __getstate__(self):
      """Object.__getstate__.
  
      Returns:
          dict: The state to be pickled for the instance.
  
      """
      new_dict = self.__dict__.copy()
      del new_dict["_cached_params"]
      return new_dict
  
imports: import abc
  import tensorflow
  from garage.np import flatten_tensors, unflatten_tensors
label_desc: Use image node_id 15 for calling the Module obj's underlying member method code with example usage: obj.__getstate__() and returns: new_dict