Method create_local_server

tensorflow/python/training/server_lib.py:216–238

Creates a new single-process cluster running on the local host. This method is a convenience wrapper for creating a `tf.distribute.Server` with a `tf.train.ServerDef` that specifies a single-process cluster containing a single task in a job called `"local"`. Args: config:

(config=None, start=True)

  @staticmethod
  def create_local_server(config=None, start=True):
    """Creates a new single-process cluster running on the local host.

    This method is a convenience wrapper for creating a
    `tf.distribute.Server` with a `tf.train.ServerDef` that specifies a
    single-process cluster containing a single task in a job called
    `"local"`.

    Args:
      config: (Options.) A `tf.compat.v1.ConfigProto` that specifies default
        configuration options for all sessions that run on this server.
      start: (Optional.) Boolean, indicating whether to start the server after
        creating it. Defaults to `True`.

    Returns:
      A local `tf.distribute.Server`.
    """
    # Specifying port 0 means that the OS will choose a free port for the
    # server.
    return Server({"local": ["localhost:0"]},
                  protocol="grpc",
                  config=config,
                  start=start)


@tf_export("train.ClusterSpec")