code: def variational_parameters(self):
      for _, param in self.named_variational_parameters():
          yield param
  
imports: import copy
  import inspect
  import itertools
  import operator
  from collections import OrderedDict
  from typing import Union
  import torch
  from linear_operator.operators import LinearOperator
  from torch import nn, Tensor
  from torch.distributions import Distribution
  from .constraints import Interval
label_desc: Use image node_id 33 for calling the Module obj's underlying member method code with example usage: obj.variational_parameters() without return types