code: def _bucket_boundaries(
      max_length, min_length=8, length_bucket_step=1.1
  ):
      """A default set of length-bucket boundaries."""
      assert length_bucket_step > 1.0
      x = min_length
      boundaries = []
      while x < max_length:
          boundaries.append(x)
          x = max(x + 1, int(x * length_bucket_step))
      return boundaries
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import functools
  import multiprocessing
  import random
  import six
  from six.moves import range
  from tensor2tensor.utils import contrib
  from tensor2tensor.utils import mlperf_log
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 5 for calling a global function with example usage: _bucket_boundaries(max_length, min_length, length_bucket_step) and returns: boundaries