message: Update grouping.py
  Add input data as it creates a conflict.
diff: @@ -201,6 +201,13 @@ def bucket_by_sequence_length(element_length_func,
  You can drop the batches that do not maintain the bucket batch size by using the option `drop_remainder`.
  Using the same input data as in the above example you get the following result.
  + >>> elements = [
  + ... [0], [1, 2, 3, 4], [5, 6, 7],
  + ... [7, 8, 9, 10, 11], [13, 14, 15, 16, 19, 20], [21, 22]]
  +
  + >>> dataset = tf.data.Dataset.from_generator(
  + ... lambda: elements, tf.int32, output_shapes=[None])
  +
  >>> dataset = dataset.apply(
  ... tf.data.experimental.bucket_by_sequence_length(
  ... element_length_func=lambda elem: tf.shape(elem)[0],
  