code: def to_torch_format(self) -> str:
      if self.type is DeviceType.GPU:
          return f"cuda:{self.idx}"
      elif self.type is DeviceType.TPU:
          return f"xla:{self.idx}"
  
      return "cpu"
  
imports: import subprocess
  from dataclasses import dataclass
  from enum import Enum
  from functools import cached_property
  from typing import Optional, Any, Union, Tuple, List, Dict
  import numpy
  from nebullvm.optional_modules.tensorflow import tensorflow
  from nebullvm.optional_modules.torch import torch
label_desc: Use image node_id 3 for calling the Device obj's underlying member method code with example usage: obj.to_torch_format() and returns: str, str, self, str, self