code: def tf_data_service(
      compute_config: TfDataServiceConfig, rank: int
  ) -> str:
      """
      Provides the address of the TF Dispatcher.
      """
  
      compute = compute_config.compute_client(verbose=2)
  
      dispatcher_server = None
      if compute_config.dispatcher_side == "training":
          if (
              compute_config.dispatchers > 1
              or compute_config.dispatchers == 1
              and rank == 0
          ):
              if compute_config.dispatchers == 1:
                  logging.info(f"Setting up Dispatcher for all tasks")
              else:
                  logging.info(f"Setting up Dispatcher for task {rank}")
  
              dispatcher_server = (
                  tf.data.experimental.service.DispatchServer()
              )
              logging.debug(
                  f"Registering Dispatcher {rank} at {dispatcher_server.target}"
              )
              compute.register_dispatcher(
                  rank, dispatcher_server.target
              )
              logging.info(
                  f"Registered Dispatcher {rank} at {dispatcher_server.target}"
              )
  
      dispatcher_id = rank if compute_config.dispatchers > 1 else 0
      dispatcher_address = compute.wait_for_dispatcher_registration(
          dispatcher_id, compute_config.timeout
      )
      compute.wait_for_dispatcher_worker_registration(
          dispatcher_id, compute_config.timeout
      )
  
      # let the caller use the dispatcher
      try:
          yield dispatcher_address
      finally:
          if dispatcher_server:
              # there is currently no other way to stop the dispatch server
              logging.debug(f"Shuting down dispatcher")
              dispatcher_server._stop()
              dispatcher_server.join()
              logging.info(f"Dispatcher shut down")
  
imports: import binascii
  import dataclasses
  import json
  import logging
  import os
  import time
  from contextlib import contextmanager
  from pathlib import Path
  from tempfile import NamedTemporaryFile
  from typing import Mapping, Sequence, Tuple, Any, Optional
  import tensorflow
  import horovod.tensorflow
  from horovod.runner.common.service.compute_service import ComputeClient
label_desc: Use image node_id 1 for calling a global function with example usage: tf_data_service(compute_config, rank) without return types