code: def __init__(self, encoder, decoder):
      super().__init__()
      self.automodelflag = False
      if isinstance(encoder, BaseAutoModel):
          self.automodelflag = True
          self.encoder = encoder.model
          self.decoder = None
      else:
          self.encoder = encoder.encoder
          self.decoder = None if decoder is None else decoder.decoder
  
imports: from .None import register_trainer, Evaluation
  import torch
  from torch.optim.lr_scheduler import StepLR, MultiStepLR, ExponentialLR, ReduceLROnPlateau
  import torch.nn.functional
  from ..model import BaseEncoderMaintainer, BaseDecoderMaintainer, BaseAutoModel
  from .evaluation import Auc, EVALUATE_DICT
  from .base import EarlyStopping, BaseLinkPredictionTrainer
  from typing import Union, Tuple
  from copy import deepcopy
  from ...utils import get_logger
  from ...backend import DependentBackend
label_desc: Use image node_id 1 to create a new _DummyLinkModel object from inherited base classes: torch.nn with example: obj = _DummyLinkModel(encoder, decoder)