code: def _bytes_feature(value):
      return tf.train.Feature(
          bytes_list=tf.train.BytesList(value=[value])
      )
  
file_path: attention-ocr/aocr/util/dataset.py
imports: from __future__ import absolute_import
  import logging
  import re
  import tensorflow
  from six import b
label_desc: Use image node_id 1 for calling a global function with example usage: _bytes_feature(value) and returns: tf