code: def _is_tfrecord_data(data_type):
      return data_type == _DataTypes.TF_RECORD
  
imports: import copy
  import tensorflow
  from texar.tf.hyperparams import HParams
  from texar.tf.utils import utils
  from texar.tf.utils.dtypes import is_str, is_callable
  from texar.tf.data.data.text_data_base import TextDataBase
  from texar.tf.data.data.scalar_data import ScalarData
  from texar.tf.data.data.tfrecord_data import TFRecordData
  from texar.tf.data.data.mono_text_data import _default_mono_text_dataset_hparams
  from texar.tf.data.data.scalar_data import _default_scalar_dataset_hparams
  from texar.tf.data.data.tfrecord_data import _default_tfrecord_dataset_hparams
  from texar.tf.data.data.mono_text_data import MonoTextData
  from texar.tf.data.data_utils import count_file_lines
  from texar.tf.data.data import dataset_utils
  from texar.tf.data.vocabulary import Vocab, SpecialTokens
  from texar.tf.data.embedding import Embedding
label_desc: Use image node_id 3 for calling a global function with example usage: _is_tfrecord_data(data_type) and returns: unknown