code: def connect_to_remote_host(remote_host=None, job_name="worker"):
      """Connects to a single machine to enable remote execution on it.
  
      Will make devices on the remote host available to use. Note that calling this
      more than once will work, but will invalidate any tensor handles on the old
      remote devices.
  
      Using the default job_name of worker, you can schedule ops to run remotely as
      follows:
      ```python
      # When eager execution is enabled, connect to the remote host.
      tf.config.experimental_connect_to_host("exampleaddr.com:9876")
  
      with ops.device("job:worker/replica:0/task:1/device:CPU:0"):
        # The following tensors should be resident on the remote device, and the op
        # will also execute remotely.
        x1 = array_ops.ones([2, 2])
        x2 = array_ops.ones([2, 2])
        y = math_ops.matmul(x1, x2)
      ```
  
      Args:
        remote_host: a single or a list the remote server addr in host-port format.
        job_name: The job name under which the new server will be accessible.
  
      Raises:
        ValueError: if remote_host is None.
      """
      if not remote_host:
          raise ValueError("Must provide at least one remote_host")
  
      remote_hosts = nest.flatten(remote_host)
      cluster_spec = server_lib.ClusterSpec(
          {
              job_name: [
                  _strip_prefix(host, _GRPC_PREFIX)
                  for host in remote_hosts
              ]
          }
      )
  
      connect_to_cluster(cluster_spec)
  
file_path: tensorflow/tensorflow/python/eager/remote.py
imports: import copy
  from absl import logging
  from tensorflow.core.protobuf.tensorflow_server_pb2 import ServerDef
  from tensorflow.python import pywrap_tfe
  from tensorflow.python.distribute import device_util
  from tensorflow.python.distribute.cluster_resolver import cluster_resolver
  from tensorflow.python.eager import context
  from tensorflow.python.framework import ops
  from tensorflow.python.platform import remote_utils
  from tensorflow.python.training import server_lib
  from tensorflow.python.util import nest
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 1 for calling a global function with example usage: connect_to_remote_host(remote_host, job_name) without return types