code: def __init__(self, xshards: "SparkXShards") -> None:
      invalidInputError(
          isinstance(xshards, SparkXShards),
          "only datasets backed by a SparkXShards are supported",
      )
  
      self.xshards = xshards
  
      def create_dataset_fn(data):
          return tf.data.Dataset.from_tensor_slices(data)
  
      super().__init__(xshards, create_dataset_fn)
  
imports: import tensorflow
  from bigdl.orca.tfpark.tf_dataset import TensorMeta
  from bigdl.dllib.utils import nest
  from bigdl.orca.data import SparkXShards
  from bigdl.dllib.utils import log4Error
  from bigdl.dllib.utils.log4Error import invalidInputError
  from typing import TYPE_CHECKING, Callable, Optional, Any
label_desc: Use image node_id 1 to create a new TensorSliceDataset object from inherited base classes: Dataset with example: obj = TensorSliceDataset(xshards)