code: def output_alias_each_other(outputs):
      storages = set()
      for out in tree_flatten_only(torch.Tensor, outputs):
          if not torch._C._has_storage(out):
              continue
          stor = out._typed_storage()._cdata
          if stor in storages:
              return True
          storages.add(stor)
      return False
  
file_path: pytorch/torch/_subclasses/fake_utils.py
imports: import functools
  import warnings
  from typing import Callable, Union
  import torch
  import torch.utils._pytree
  from torch._ops import OpOverload
  from torch._subclasses.fake_tensor import FakeTensorMode, tree_flatten_only, UnsupportedFakeTensorException
  from torch.utils._python_dispatch import TorchDispatchMode
label_desc: Use image node_id 3 for calling a global function with example usage: output_alias_each_other(outputs) and returns: False, True