code: def detach(
      x: Union[
          Dict[
              str,
              Union[
                  torch.Tensor, List[torch.Tensor], Tuple[torch.Tensor]
              ],
          ],
          torch.Tensor,
          List[torch.Tensor],
          Tuple[torch.Tensor],
      ],
  ) -> Union[
      Dict[
          str,
          Union[torch.Tensor, List[torch.Tensor], Tuple[torch.Tensor]],
      ],
      torch.Tensor,
      List[torch.Tensor],
      Tuple[torch.Tensor],
  ]:
      """
      Detach object
  
      Args:
          x: object to detach
  
      Returns:
          detached object
      """
      if isinstance(x, torch.Tensor):
          return x.detach()
      elif isinstance(x, dict):
          return {name: detach(xi) for name, xi in x.items()}
      elif isinstance(x, OutputMixIn):
          return x.__class__(
              **{name: detach(xi) for name, xi in x.items()}
          )
      elif isinstance(x, (list, tuple)):
          return [detach(xi) for xi in x]
      else:
          return x
  
imports: from collections import namedtuple
  from contextlib import redirect_stdout
  import inspect
  import os
  from typing import Any, Callable, Dict, List, Tuple, Union
  import lightning.pytorch
  import torch
  from torch import nn
  from torch.fft import irfft, rfft
  import torch.nn.functional
  from torch.nn.utils import rnn
label_desc: Use image node_id 15 for calling a global function with example usage: detach(x) and returns: x, unknown, x, unknown, x