class_docstr: Container abstracting a list of callbacks.
class_docstr_tok: ["Container","abstracting","a","list","of","callbacks","."]
docstr: Calls the `on_train_batch_end` methods of its callbacks.
  
  Arguments:
      batch: integer, index of batch within the current epoch.
      logs: dict. Metric results for this batch.
docstr_tok: ["Calls","the","`","on_train_batch_end","`","methods","of","its","callbacks",".","Arguments",":","batch",":","integer",",","index","of","batch","within","the","current","epoch",".","logs",":","dict",".","Metric","results","for","this","batch","."]
code: def on_train_batch_end(self, batch, logs=None):
      """Calls the `on_train_batch_end` methods of its callbacks.
  
      Arguments:
          batch: integer, index of batch within the current epoch.
          logs: dict. Metric results for this batch.
      """
      if self._should_call_train_batch_hooks:
          logs = self._process_logs(logs)
          self._call_batch_hook(ModeKeys.TRAIN, "end", batch, logs=logs)
  
imports: import collections
  import logging
  import time
  import typing
  import numpy
  from elegy.callbacks.sigint import SigInt, SigIntMode
  from .callback import Callback
  from .history import History
  from .progbar_logger import ProgbarLogger
label_desc: Use image node_id 16 for calling the CallbackList obj's underlying member method code with example usage: obj.on_train_batch_end(batch, logs) without return types