class_docstr: A `Dataset` comprising records from one or more AvroRecord files.
class_docstr_tok: ["A","`","Dataset","`","comprising","records","from","one","or","more","AvroRecord","files","."]
code: def _clone(
      self,
      filenames=None,
      buffer_size=None,
      num_parallel_reads=None,
      num_parallel_calls=None,
      reader_schema=None,
      block_length=None,
  ):
      return AvroRecordDataset(
          filenames or self._filenames,
          buffer_size or self._buffer_size,
          num_parallel_reads or self._num_parallel_reads,
          num_parallel_calls or self._num_parallel_calls,
          reader_schema or self._reader_schema,
          block_length or self._block_length,
      )
  
file_path: io/tensorflow_io/python/experimental/avro_record_dataset_ops.py
imports: import tensorflow
  from tensorflow_io.python.ops import core_ops
label_desc: Use image node_id 2 for calling the AvroRecordDataset obj's underlying member method code with example usage: obj._clone(filenames, buffer_size, num_parallel_reads, num_parallel_calls, reader_schema, block_length) and returns: AvroRecordDataset