message: [tf.data] Improve `TFRecordDataset` documentation.
diff: @@ -178,19 +178,21 @@ class TFRecordDatasetV2(dataset_ops.DatasetV2):
  num_parallel_reads=None):
  """Creates a `TFRecordDataset` to read one or more TFRecord files.
  - NOTE: The `num_parallel_reads` argument can be used to improve performance
  - when reading from a remote filesystem.
  -
  Args:
  filenames: A `tf.string` tensor or `tf.data.Dataset` containing one or
  more filenames.
  compression_type: (Optional.) A `tf.string` scalar evaluating to one of
  `""` (no compression), `"ZLIB"`, or `"GZIP"`.
  buffer_size: (Optional.) A `tf.int64` scalar representing the number of
  - bytes in the read buffer. 0 means no buffering.
  + bytes in the read buffer. If your input pipeline is I/O bottlenecked,
  + consider setting this parameter to a value 1-100 MBs. If `None`, a
  + sensible default for both local and remote file systems is used.
  num_parallel_reads: (Optional.) A `tf.int64` scalar representing the
  - number of files to read in parallel. Defaults to reading files
  - sequentially.
  + number of files to read in parallel. If greater than one, the records of
  + files read in parallel are outputted in an interleaved order. If your
  + input pipeline is I/O bottlenecked, consider setting this parameter to a
  + value greater than one to parallelize the I/O. If `None`, files will be
  + read sequentially.
  Raises:
  TypeError: If any argument does not have the expected type.
  