code: def _get_stats(
      self,
      epoch_start_time: int,
      outputs: Dict[str, Any],
      trainer: "pl.Trainer",
  ) -> Dict:
      return dict(
          true=outputs["true"].detach().cpu(),
          pred=outputs["pred_score"].detach().cpu(),
          loss=float(outputs["loss"]),
          lr=trainer.lr_scheduler_configs[0].scheduler.get_last_lr()[0],
          time_used=time.time() - epoch_start_time,
          params=cfg.params,
      )
  
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 6 for calling the LoggerCallback obj's underlying member method code with example usage: obj._get_stats(epoch_start_time, outputs, trainer) and returns: dict