code: def _make_example_from_record(record):
      features = {
          "url": tf.train.Feature(
              bytes_list=tf.train.BytesList(value=[record.url])
          ),
          "content": tf.train.Feature(
              bytes_list=tf.train.BytesList(value=[record.content])
          ),
      }
      return tf.train.Example(
          features=tf.train.Features(feature=features)
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import json
  import math
  import os
  import re
  import string
  import tempfile
  import six
  from tensor2tensor.data_generators import generator_utils
  from tensor2tensor.data_generators import problem
  from tensor2tensor.data_generators import text_encoder
  from tensor2tensor.data_generators import tokenizer
  from tensor2tensor.data_generators.wikisum import utils
  from tensor2tensor.layers import modalities
  from tensor2tensor.utils import metrics
  from tensor2tensor.utils import registry
  import tensorflow.compat.v1
label_desc: Use image node_id 3 for calling a global function with example usage: _make_example_from_record(record) and returns: tf