code: def configure_optimizers(self) -> Tuple[Any, Any]:
      optimizer = create_optimizer(
          self.model.parameters(), self.cfg.optim
      )
      scheduler = create_scheduler(optimizer, self.cfg.optim)
      return [optimizer], [scheduler]
  
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 3 for calling the GraphGymModule obj's underlying member method code with example usage: obj.configure_optimizers() and returns: list,  list