code: def __init__(self, encoder, decoder):
      super().__init__()
      self.encoder = encoder
      self.decoder = decoder
  
file_path: AutoGL/test/performance/node_classification/pyg/model_decouple.py
imports: import os
  import pickle
  import numpy
  from tqdm import tqdm
  import torch
  import torch.nn.functional
  from torch_geometric.datasets import Planetoid
  import torch_geometric.transforms
  from autogl.module.model.encoders import GCNEncoderMaintainer, GATEncoderMaintainer, SAGEEncoderMaintainer
  from autogl.module.model.decoders import LogSoftmaxDecoderMaintainer
  from autogl.solver.utils import set_seed
  from helper import get_encoder_decoder_hp
  import logging
label_desc: Use image node_id 1 to create a new DummyModel object from inherited base classes: torch.nn with example: obj = DummyModel(encoder, decoder)