class_docstr: File writer for TFRecord dataset.
  
  TFRecordWriter serializes tensors in tf.Example schema and write them
  into files in TFRecord format. The written file can be loaded with
  tf.data.TFRecordDataset.
class_docstr_tok: ["File","writer","for","TFRecord","dataset",".","TFRecordWriter","serializes","tensors","in","tf.Example","schema","and","write","them","into","files","in","TFRecord","format",".","The","written","file","can","be","loaded","with","tf.data.TFRecordDataset","."]
docstr: Return the file extension of the written files.
docstr_tok: ["Return","the","file","extension","of","the","written","files","."]
code: def extension(self):
      """Return the file extension of the written files."""
      return TFRecordWriter._TFRECORD_EXTENSION
  
file_path: io/tests/test_atds_avro/utils/tf_record_writer.py
imports: import os
  from tests.test_atds_avro.utils.generator.tensor_generator import TensorGeneratorBase
  from tests.test_atds_avro.utils.generator.sparse_tensor_generator import SparseTensorGeneratorBase
  from tests.test_atds_avro.utils.generator.varlen_tensor_generator import VarLenTensorGeneratorBase
  import numpy
  import tensorflow
  from tests.test_atds_avro.utils.file_writer import FileWriter
label_desc: Use image node_id 2 for calling the TFRecordWriter obj's underlying member method code with example usage: obj.extension() and returns: TFRecordWriter