code: def _shared_step(self, batch, split: str) -> Dict:
      batch.split = split
      pred, true = self(batch)
      loss, pred_score = compute_loss(pred, true)
      step_end_time = time.time()
      return dict(
          loss=loss,
          true=true,
          pred_score=pred_score.detach(),
          step_end_time=step_end_time,
      )
  
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 4 for calling the GraphGymModule obj's underlying member method code with example usage: obj._shared_step(batch, split) and returns: dict