def METHOD_NAME(every_n_iter=100, tensors_to_log=None, **kwargs):  # pylint: disable=unused-argument
  """Function to get LoggingTensorHook.
  Args:
    every_n_iter: `int`, print the values of `tensors` once every N local
      steps taken on the current worker.
    tensors_to_log: List of tensor names or dictionary mapping labels to tensor
      names. If not set, log _TENSORS_TO_LOG by default.
    **kwargs: a dictionary of arguments to LoggingTensorHook.
  Returns:
    Returns a LoggingTensorHook with a standard set of tensors that will be
    printed to stdout.
  """
  if tensors_to_log is None:
    tensors_to_log = _TENSORS_TO_LOG
  return tf.estimator.LoggingTensorHook(
      tensors=tensors_to_log,
      every_n_iter=every_n_iter)