code: def decode(self, features, data, pos_edges, neg_edges):
      if self.automodelflag:
          return self.encoder.lp_decode(features, pos_edges, neg_edges)
      if self.decoder is None:
          return features
      return self.decoder(features, data, pos_edges, neg_edges)
  
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 3 for calling the _DummyLinkModel obj's underlying member method code with example usage: obj.decode(features, data, pos_edges, neg_edges) and returns: self, self, features