docs: def get_logging_metric_hook(benchmark_log_dir=None,
                              tensors_to_log=None,
                              every_n_secs=600,
                              **kwargs):  # pylint: disable=unused-argument
    """Function to get LoggingMetricHook.
  
    Args:
      benchmark_log_dir: `string`, directory path to save the metric log.
      tensors_to_log: List of tensor names or dictionary mapping labels to tensor
        names. If not set, log _TENSORS_TO_LOG by default.
      every_n_secs: `int`, the frequency for logging the metric. Default to every
        10 mins.
  
    Returns:
      Returns a ProfilerHook that writes out timelines that can be loaded into
      profiling tools like chrome://tracing.
    """
    if benchmark_log_dir is None:
      raise ValueError("metric_log_dir should be provided to use metric logger")
    if tensors_to_log is None:
      tensors_to_log = _TENSORS_TO_LOG
    return metric_hook.LoggingMetricHook(
        tensors=tensors_to_log,
        log_dir=benchmark_log_dir,
        every_n_secs=every_n_secs)