code: def propagate(self, *args):
      self.multi_output_view_nodes = {}
      self.node_counter = -1
  
      with FakeTensorMode() as mode:
          fake_args = [mode.from_tensor(a) for a in args]
          return super().run(*fake_args)
  
imports: import torch
  from torch.fx import Node
  from torch.fx._compatibility import compatibility
  from torch._subclasses.fake_tensor import FakeTensorMode, FakeTensor
  from torch.utils._pytree import tree_map_only
  from torch.utils import _pytree
  from torch.multiprocessing.reductions import StorageWeakRef
  import _operator
  from enum import Enum
  import itertools
  from typing import Set, Dict
  from collections import defaultdict
label_desc: Use image node_id 2 for calling the _FunctionalizationMetadataProp obj's underlying member method code with example usage: obj.propagate() and returns: super