class_docstr: Represents a distributed set of elements backed by an RDD,
  which is created by applying tensorflow dataset transformations
  on each partitions.
code: def get_xshards(self) -> "SparkXShards":
      if self.xshards_transform_fn is None:
          return self.xshards
      else:
          new_shards = self.xshards_transform_fn(self.xshards)
          return new_shards
  
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 4 for calling the Dataset obj's underlying member method code with example usage: obj.get_xshards() and returns: self, new_shards