code: def forward(self, *args: Any, **kwargs: Any) -> Any:
      pass
  
imports: import os
  import torch
  import torch.nn.functional
  from abc import abstractmethod
  from abc import ABCMeta
  from typing import Any
  from typing import Dict
  from typing import Optional
  from typing import NamedTuple
  from cftool.misc import print_warning
  from cftool.types import tensor_dict_type
  from ..schema import ITrainer
  from ..schema import ILoss
  from ..schema import IDLModel
  from ..constants import LOSS_KEY
  from ..constants import LABEL_KEY
  from ..constants import LATENT_KEY
  from ..constants import PREDICTIONS_KEY
  from ..misc.toolkit import set_requires_grad
label_desc: Use image node_id 2 for calling the ICustomLossModule obj's underlying member method code with example usage: obj.forward() without return types