code: def to_torch_format(self):
      for key, value in FRAMEWORK_TO_DATA_TYPE_CONVERSION_DICT[
          "torch"
      ].items():
          if value == self:
              return key
  
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 2 for calling the DataType obj's underlying member method code with example usage: obj.to_torch_format() and returns: key