code: def create_float_feature(values):
      feature = tf.train.Feature(
          float_list=tf.train.FloatList(value=list(values))
      )
      return feature
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import unicodedata
  import six
label_desc: Use image node_id 18 for calling a global function with example usage: create_float_feature(values) and returns: feature