code: def _get_device():
      import operator
  
      import torch
  
      _TORCH_GREATER_EQUAL_1_12 = compare_version(
          "torch", operator.ge, "1.12.0"
      )
  
      local_rank = int(os.getenv("LOCAL_RANK", "0"))
  
      if (
          _TORCH_GREATER_EQUAL_1_12
          and torch.backends.mps.is_available()
          and platform.processor() in ("arm", "arm64")
      ):
          return torch.device("mps", local_rank)
  
      return torch.device(
          f"cuda:{local_rank}" if torch.cuda.is_available() else "cpu"
      )
  
imports: import abc
  import asyncio
  import base64
  import os
  import platform
  from typing import TYPE_CHECKING, Any, Dict, Optional
  import requests
  import uvicorn
  from fastapi import FastAPI
  from lightning_utilities.core.imports import compare_version, module_available
  from pydantic import BaseModel
  from lightning.app.core.work import LightningWork
  from lightning.app.utilities.app_helpers import Logger
  from lightning.app.utilities.imports import _is_torch_available, requires
label_desc: Use image node_id 1 for calling a global function with example usage: _get_device() and returns: torch, torch