code: def d_parameters(self) -> List[nn.Parameter]:
      pass
  
imports: import torch
  import random
  import torch.nn
  from abc import abstractmethod
  from abc import ABCMeta
  from torch import Tensor
  from typing import Any
  from typing import Dict
  from typing import List
  from typing import Tuple
  from typing import Callable
  from typing import Optional
  from cftool.types import tensor_dict_type
  from ...schemas import CustomTrainStep
  from ...schemas import CustomTrainStepLoss
  from ...schemas import ModelWithCustomSteps
  from ....schema import TrainerState
  from ....schema import MetricsOutputs
  from ....constants import LOSS_KEY
  from ....constants import INPUT_KEY
  from ....constants import LABEL_KEY
  from ....constants import PREDICTIONS_KEY
  from ...schemas.cv import GaussianGeneratorMixin
  from ....misc.toolkit import get_device
  from ....misc.toolkit import mode_context
  from ....losses.gan import GANLoss
  from ....losses.gan import GANTarget
  from ....losses.gan import DiscriminatorOutput
label_desc: Use image node_id 2 for calling the IOneStageGAN obj's underlying member method code with example usage: obj.d_parameters() without return types