code: def _bytes_feature(value):
      """Returns bytes tf.train.Feature from a string."""
      return tf.train.Feature(
          bytes_list=tf.train.BytesList(value=[value.encode("utf-8")])
      )
  
file_path: neural-structured-learning/neural_structured_learning/examples/preprocess/cora/preprocess_cora_dataset.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import random
  import time
  from absl import app
  from absl import flags
  from absl import logging
  from neural_structured_learning.tools import graph_utils
  import six
  import tensorflow
label_desc: Use image node_id 2 for calling a global function with example usage: _bytes_feature(value) and returns: tf