code: def on_test_batch_end(
      self,
      trainer: "pl.Trainer",
      pl_module: "pl.LightningModule",
      outputs: Optional[Dict[str, Any]],
      batch: Any,
      batch_idx: int,
      dataloader_idx: int = 0,
  ):
      stats = self._get_stats(
          self._test_epoch_start_time, outputs, trainer
      )
      self.test_logger.update_stats(**stats)
  
imports: import logging
  import math
  import os
  import sys
  import time
  from typing import Any, Dict, Optional
  import torch
  from torch_geometric.graphgym import register
  from torch_geometric.graphgym.config import cfg
  from torch_geometric.graphgym.imports import Callback, pl
  from torch_geometric.graphgym.utils.device import get_current_gpu_usage
  from torch_geometric.graphgym.utils.io import dict_to_json, dict_to_tb
label_desc: Use image node_id 12 for calling the LoggerCallback obj's underlying member method code with example usage: obj.on_test_batch_end(trainer, pl_module, outputs, batch, batch_idx, dataloader_idx) without return types