code: def histogram(name, data, step=None, buckets=None, description=None):
    
    summary_metadata = metadata.create_summary_metadata(
        display_name=None, description=description)
    # TODO(https://github.com/tensorflow/tensorboard/issues/2109): remove fallback
    summary_scope = (
        getattr(tf.summary.experimental, 'summary_scope', None) or
        tf.summary.summary_scope)
    with summary_scope(
        name, 'histogram_summary', values=[data, buckets, step]) as (tag, _):
      tensor = _buckets(data, bucket_count=buckets)
      return tf.summary.write(
          tag=tag, tensor=tensor, step=step, metadata=summary_metadata)
docs: Write a histogram summary.
  
    Arguments:
      name: A name for this summary. The summary tag used for TensorBoard will
        be this name prefixed by any active name scopes.
      data: A `Tensor` of any shape. Must be castable to `float64`.
      step: Explicit `int64`-castable monotonic step value for this summary. If
        omitted, this defaults to `tf.summary.experimental.get_step()`, which must
        not be None.
      buckets: Optional positive `int`. The output will have this
        many buckets, except in two edge cases. If there is no data, then
        there are no buckets. If there is data but all points have the
        same value, then there is one bucket whose left and right
        endpoints are the same.
      description: Optional long-form description for this summary, as a
        constant `str`. Markdown is supported. Defaults to empty.
  
    Returns:
      True on success, or false if no summary was emitted because no default
      summary writer was available.
  
    Raises:
      ValueError: if a default writer exists, but no step was provided and
        `tf.summary.experimental.get_step()` is None.