code: def __init__(self, dim_in, dim_out, cfg):
      super().__init__()
      self.cfg = cfg
      self.model = network_dict[cfg.model.type](
          dim_in=dim_in, dim_out=dim_out
      )
  
imports: import time
  from typing import Any, Dict, Tuple
  import torch
  from torch_geometric.graphgym.config import cfg
  from torch_geometric.graphgym.imports import LightningModule
  from torch_geometric.graphgym.loss import compute_loss
  from torch_geometric.graphgym.models.gnn import GNN
  from torch_geometric.graphgym.optim import create_optimizer, create_scheduler
  from torch_geometric.graphgym.register import network_dict, register_network
label_desc: Use image node_id 1 to create a new GraphGymModule object from inherited base classes: LightningModule with example: obj = GraphGymModule(dim_in, dim_out, cfg)