code: def make_batches(samples_size, batch_size):
      nb_batch = int(np.ceil(samples_size / float(batch_size)))
      return [
          (i * batch_size, min(samples_size, (i + 1) * batch_size))
          for i in range(0, nb_batch)
      ]
  
imports: from __future__ import division, print_function, absolute_import
  import six
  import string
  import random
  import numpy
  import tensorflow.compat.v1
  from tensorflow.python import pywrap_tensorflow
  import tflearn.variables
label_desc: Use image node_id 15 for calling a global function with example usage: make_batches(samples_size, batch_size) and returns: unknown