code: def distributed_save(
      dataset, path, dispatcher_address, compression="AUTO"
  ):
      """Initiates the process of distributedly saving a dataset to disk.
  
      Args:
        dataset: The `tf.data.Dataset` to save.
        path: A string indicating the filepath of the directory to which to save
          `dataset`.
        dispatcher_address: A string indicating the address of the dispatcher for
          the tf.data service instance used to save `dataset`.
        compression: (Optional.) A string indicating whether and how to compress the
          `dataset` materialization.  If `"AUTO"`, the tf.data runtime decides which
          algorithm to use.  If `"GZIP"` or `"SNAPPY"`, that specific algorithm is
          used.  If `None`, the `dataset` materialization is not compressed.
  
      Returns:
        An operation which when executed performs the distributed save.
  
      Raises:
        ValueError: If `dispatcher_address` is invalid.
      """
      if not isinstance(dispatcher_address, str):
          raise ValueError(
              "`dispatcher_address` must be a string, but is a "
              f"{type(dispatcher_address)} ({dispatcher_address}"
          )
      if not dispatcher_address:
          raise ValueError("`dispatcher_address` must not be empty")
  
      metadata = snapshot_pb2.DistributedSnapshotMetadata(
          element_spec=nested_structure_coder.encode_structure(
              dataset.element_spec
          ).SerializeToString(),
          compression=compression,
      )
  
      return gen_experimental_dataset_ops.distributed_save(
          dataset._variant_tensor,  # pylint: disable=protected-access
          directory=path,
          address=dispatcher_address,
          metadata=metadata.SerializeToString(),
      )
  
imports: from tensorflow.core.protobuf import snapshot_pb2
  from tensorflow.python.ops import gen_experimental_dataset_ops
  from tensorflow.python.saved_model import nested_structure_coder
label_desc: Use image node_id 1 for calling a global function with example usage: distributed_save(dataset, path, dispatcher_address, compression) and returns: gen_experimental_dataset_ops