code: def file_based_convert_examples_to_features(
      examples, label_list, max_seq_length, tokenizer, output_file
  ):
      """Convert a set of `InputExample`s to a TFRecord file."""
  
      writer = tf.python_io.TFRecordWriter(
          output_file,
          tf.python_io.TFRecordOptions(output_buffer_size=2**24),
      )
  
      for ex_index, example in enumerate(examples):
          if ex_index % 10000 == 0:
              tf.logging.info(
                  "Writing example %d of %d" % (ex_index, len(examples))
              )
  
          feature = convert_single_example(
              ex_index, example, label_list, max_seq_length, tokenizer
          )
  
          def create_int_feature(values):
              f = tf.train.Feature(
                  int64_list=tf.train.Int64List(value=list(values))
              )
              return f
  
          features = collections.OrderedDict()
          features["input_ids"] = create_int_feature(feature.input_ids)
          features["input_mask"] = create_int_feature(
              feature.input_mask
          )
          features["segment_ids"] = create_int_feature(
              feature.segment_ids
          )
          features["label_ids"] = create_int_feature([feature.label_id])
          features["is_real_example"] = create_int_feature(
              [int(feature.is_real_example)]
          )
  
          tf_example = tf.train.Example(
              features=tf.train.Features(feature=features)
          )
          writer.write(tf_example.SerializeToString())
      writer.close()
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import csv
  import os
  import mesh_tensorflow
  import mesh_tensorflow.bert.bert
  import mesh_tensorflow.bert.optimization
  import mesh_tensorflow.bert.tokenization
  from six.moves import range
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 2 for calling a global function with example usage: file_based_convert_examples_to_features(examples, label_list, max_seq_length, tokenizer, output_file) and returns: f