code: def __exit__(self, a, b, c):
      is_on_stack = self.enter_stack.pop()
      if is_on_stack:
          super().__exit__(a, b, c)
  
imports: import contextlib
  from abc import ABC, abstractmethod
  from typing import Any, Callable, ContextManager, Tuple
  import torch
  import torch.utils._pytree
  from torch._C import _functionalization_reapply_views_tls
  from torch._ops import _get_dispatch_mode_pre_dispatch
  from torch.utils._python_dispatch import _detect_functional_mode, return_and_correct_aliasing, TorchDispatchMode
label_desc: Use image node_id 3 for calling the FunctionalTensorMode obj's underlying member method code with example usage: obj.__exit__(a, b, c) without return types