docstr: A helper method that records a batch metric for the
  given key. A user should call this at the end of an
  iteration step during training.
  Args:
      key (str): unique id for metric within a group
docstr_tok: ["A","helper","method","that","records","a","batch","metric","for","the","given","key",".","A","user","should","call","this","at","the","end","of","an","iteration","step","during","training",".","Args",":","key","(","str",")",":","unique","id","for","metric","within","a","group"]
code: def record_batch_end(self, key):
      r"""
      A helper method that records a batch metric for the
      given key. A user should call this at the end of an
      iteration step during training.
      Args:
          key (str): unique id for metric within a group
      """
      self.__metrics_logger.record_end(self.BATCH_LEVEL_METRIC, key)
  
imports: import functools
  import time
  from abc import ABC, abstractmethod
  import torch
  from metrics.MetricsLogger import MetricsLogger
label_desc: Use image node_id 6 for calling the TrainerBase obj's underlying member method code with example usage: obj.record_batch_end(key) without return types