code: def log_stats(
      self,
      epoch_number: int,
      batch_number: int,
      logs: Dict,
      layer_stats: Dict[str, Dict[str, float]],
  ) -> None:
      for layer, stats in layer_stats.items():
          filename = self.filename.format(layer)
          stats["epoch"] = epoch_number
          stats["batch"] = batch_number
          atomic_lambda_save(
              filename,
              self._save_stats,
              (filename, stats),
              temporary_filename=self.temporary_filename,
          )
  
imports: import csv
  import os
  from typing import Dict, List, Optional, TextIO, Union
  import torch
  from poutyne.framework.callbacks._utils import atomic_lambda_save
  from poutyne.framework.callbacks.callbacks import Callback
label_desc: Use image node_id 5 for calling the AtomicCSVGradientLogger obj's underlying member method code with example usage: obj.log_stats(epoch_number, batch_number, logs, layer_stats) without return types