docstr: The method to define the behavior of the logging tracker.
  
  Args:
      epoch_number (int): The epoch number.
      logs (Dict): The epoch logs dictionary.
docstr_tok: ["The","method","to","define","the","behavior","of","the","logging","tracker",".","Args",":","epoch_number","(","int",")",":","The","epoch","number",".","logs","(","Dict",")",":","The","epoch","logs","dictionary","."]
code: def _on_epoch_end_log(self, epoch_number: int, logs: Dict) -> None:
      """
      The method to define the behavior of the logging tracker.
  
      Args:
          epoch_number (int): The epoch number.
          logs (Dict): The epoch logs dictionary.
      """
      pass
  
imports: from typing import Dict, Iterable, List, Tuple
  import numpy
  import torch
  from poutyne.framework.callbacks.callbacks import Callback
label_desc: Use image node_id 5 for calling the GradientTracker obj's underlying member method code with example usage: obj._on_epoch_end_log(epoch_number, logs) without return types