import tensorflow as tf

    return

  from tensorflow_transform import annotations_pb2  # pylint: disable=g-import-not-at-top
  message_type = annotations_pb2.VocabularyMetadata.DESCRIPTOR.full_name
  unfiltered_vocabulary_size = tf.expand_dims(unfiltered_vocabulary_size, 0)
  filtered_vocabulary_size = tf.expand_dims(filtered_vocabulary_size, 0)
  file_name = tf.convert_to_tensor([vocab_filename])
  descriptor_source = descriptor_pb2.FileDescriptorSet()
