class_docstr: TFRecord backed impl.
class_docstr_tok: ["TFRecord","backed","impl","."]
docstr: Provides iterators over tfrecord backed statistics.
docstr_tok: ["Provides","iterators","over","tfrecord","backed","statistics","."]
code: def record_iterator_impl(  # pytype: disable=signature-mismatch  # overriding-parameter-type-checks
      self,
      paths: Iterable[str],
  ) -> Iterator[statistics_pb2.DatasetFeatureStatisticsList]:
      """Provides iterators over tfrecord backed statistics."""
      for path in paths:
          for record in tf.compat.v1.io.tf_record_iterator(path):
              stats_shard = (
                  statistics_pb2.DatasetFeatureStatisticsList()
              )
              stats_shard.ParseFromString(record)
              yield stats_shard
  
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 3 for calling the _TFRecordProviderImpl obj's underlying member method code with example usage: obj.record_iterator_impl(paths) without return types