code: def __torch_dispatch__(self, func, types, args=(), kwargs=None):
      if kwargs is None:
          kwargs = {}
      if self.policy_fn(func, *args, **kwargs):
          # this is a basic guard if there are additional ops
          # that were present in the second forward. An example
          # is for ops like `detach`, which can be added if our
          # policy is too loose
          if self.storage[func]:
              out = self.storage[func].pop(0)
              return out
      return func(*args, **kwargs)
  
imports: import time
  import weakref
  from collections import defaultdict
  from contextlib import nullcontext
  from copy import deepcopy
  from dataclasses import astuple, dataclass
  from typing import Any, Callable, ContextManager, Dict, List, Optional, Tuple
  import torch
  from torch.testing._internal.composite_compliance import is_inplace, is_inplace_view_fn, is_view_fn
  from torch.utils._python_dispatch import TorchDispatchMode
  from torch.utils._pytree import tree_map
  from torch.utils.checkpoint import get_device_states, set_device_states
label_desc: Use image node_id 2 for calling the CachedTorchDispatchMode obj's underlying member method code with example usage: obj.__torch_dispatch__(func, types, args, kwargs) and returns: func, out