code: def get_worker_info(worker_name=None):
      r"""
      Get :class:`~torch.distributed.rpc.WorkerInfo` of a given worker name.
      Use this :class:`~torch.distributed.rpc.WorkerInfo` to avoid passing an
      expensive string on every invocation.
  
      Args:
          worker_name (str): the string name of a worker. If ``None``, return the
                             the id of the current worker. (default ``None``)
  
      Returns:
          :class:`~torch.distributed.rpc.WorkerInfo` instance for the given
          ``worker_name`` or :class:`~torch.distributed.rpc.WorkerInfo` of the
          current worker if ``worker_name`` is ``None``.
      """
      if worker_name is not None:
          return _get_current_rpc_agent().get_worker_info(worker_name)
      else:
          return _get_current_rpc_agent().get_worker_info()
  
imports: import collections
  import contextlib
  import functools
  import inspect
  import logging
  import threading
  from typing import Dict, Generic, TypeVar, Set, Any, TYPE_CHECKING
  import torch
  from torch.futures import Future
  from torch._C._distributed_rpc import PyRRef, RemoteProfilerManager, WorkerInfo, TensorPipeAgent, get_rpc_timeout, _cleanup_python_rpc_handler, _delete_all_user_and_unforked_owner_rrefs, _destroy_rref_context, _get_current_rpc_agent, _invoke_remote_builtin, _invoke_remote_python_udf, _invoke_remote_torchscript, _invoke_rpc_builtin, _invoke_rpc_python_udf, _invoke_rpc_torchscript, _is_current_rpc_agent_set, _reset_current_rpc_agent, _set_and_start_rpc_agent
  from .internal import PythonUDF, RPCExecMode, _internal_rpc_pickler, _build_rpc_profiling_key
  from .constants import DEFAULT_SHUTDOWN_TIMEOUT, UNSET_RPC_TIMEOUT
  from ._utils import _group_membership_management, _update_group_membership
label_desc: Use image node_id 12 for calling a global function with example usage: get_worker_info(worker_name) and returns: _get_current_rpc_agent, _get_current_rpc_agent