code: def mark_dirty(self, *args: Any, **kwargs: Any) -> None:
      self.dirty_tensors = tuple(_iter_tensors((args, kwargs)))
  
imports: import functools
  import inspect
  import itertools
  import warnings
  from collections import OrderedDict
  from typing import Any, List, Optional, Tuple
  import torch
  import torch._C
  import torch._functorch
  import torch.utils.hooks
  from torch._C import _functions
  from torch._functorch.autograd_function import custom_function_call
label_desc: Use image node_id 7 for calling the NestedIOFunction obj's underlying member method code with example usage: obj.mark_dirty() without return types