code: def __init__(self, xshards):
      assert 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 zoo.tfpark.tf_dataset import TensorMeta
  from zoo.util import nest
  from zoo import getOrCreateSparkContext, get_node_and_core_number
  from zoo.common import callZooFunc
  from zoo.feature.common import FeatureSet
  from zoo.orca.data import SparkXShards
  from zoo.tfpark import TFDataset
label_desc: Use image node_id 1 to create a new TensorSliceDataset object from inherited base classes: Dataset with example: obj = TensorSliceDataset(xshards)