code: def get_worker_root_device():
      """Get the first torch device of the current worker if there are multiple."""
      devices = ray.train.torch.get_device()
      if isinstance(devices, list):
          return devices[0]
      else:
          return devices
  
imports: import logging
  import os
  import shutil
  import tempfile
  from typing import Any, Dict
  import torch
  from packaging.version import Version
  import ray
  from ray import train
  from ray._private.usage.usage_lib import TagKey, record_extra_usage_tag
  from ray.train import Checkpoint
  from ray.util import PublicAPI
label_desc: Use image node_id 2 for calling a global function with example usage: get_worker_root_device() and returns: devices, devices