class_docstr: TFRecord backed impl.
class_docstr_tok: ["TFRecord","backed","impl","."]
code: def record_sink_impl(
      self, output_path_prefix: str
  ) -> beam.PTransform:
      return beam.io.WriteToTFRecord(
          output_path_prefix,
          coder=beam.coders.ProtoCoder(
              statistics_pb2.DatasetFeatureStatisticsList
          ),
      )
  
imports: from typing import Callable, Iterable, Iterator, Optional, Type, TypeVar
  import apache_beam
  import tensorflow
  from google.protobuf import message
  from tensorflow_metadata.proto.v0 import statistics_pb2
label_desc: Use image node_id 1 for calling the _TFRecordProviderImpl obj's underlying member method code with example usage: obj.record_sink_impl(output_path_prefix) and returns: beam