class_docstr: A `Dataset` that performs non-serializable identity transformation.
docstr: See `non_serializable()` for details.
docstr_tok: ["See","`","non_serializable","(",")","`","for","details","."]
code: def __init__(self, input_dataset):
      """See `non_serializable()` for details."""
      self._input_dataset = input_dataset
      variant_tensor = gen_experimental_dataset_ops.experimental_non_serializable_dataset(
          self._input_dataset._variant_tensor,  # pylint: disable=protected-access
          **self._flat_structure,
      )
      super(_NonSerializableDataset, self).__init__(
          input_dataset, variant_tensor
      )
  
imports: from google.protobuf import text_format
  from tensorflow.core.framework import attr_value_pb2
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import gen_experimental_dataset_ops
label_desc: Use image node_id 1 to create a new _NonSerializableDataset object from inherited base classes: dataset_ops with example: obj = _NonSerializableDataset(input_dataset)