code: def device() -> torch.device:
      """Returns current device according to current distributed configuration.
  
      - `torch.device("cpu")` if no distributed configuration or torch native gloo distributed configuration
      - `torch.device("cuda:local_rank")` if torch native nccl or horovod distributed configuration
      - `torch.device("xla:index")` if XLA distributed configuration
  
      Returns:
          torch.device
  
      .. versionchanged:: 0.4.2
          Added Horovod distributed framework.
      """
      if _need_to_sync and isinstance(_model, _SerialModel):
          sync(temporary=True)
  
      return _model.device()
  
imports: import socket
  from contextlib import contextmanager
  from functools import wraps
  from typing import Any, Callable, List, Mapping, Optional, Tuple, Union
  import torch
  from ignite.distributed.comp_models import _SerialModel, has_hvd_support, has_native_dist_support, has_xla_support, registered_computation_models
  from ignite.utils import setup_logger
label_desc: Use image node_id 2 for calling a global function with example usage: device() and returns: _model