code: def get_trainable_parameters(self) -> Any:
      yield from ()
  
file_path: generative-models/sgm/modules/autoencoding/regularizers/__init__.py
imports: from abc import abstractmethod
  from typing import Any, Tuple
  import torch
  import torch.nn
  import torch.nn.functional
  from ....modules.distributions.distributions import DiagonalGaussianDistribution
  from .base import AbstractRegularizer
label_desc: Use image node_id 2 for calling the DiagonalGaussianRegularizer obj's underlying member method code with example usage: obj.get_trainable_parameters() without return types