code: def indirect_update_postprocess(
      self, model_speedup: "ModelSpeedup", node: Node
  ):
      pass
  
imports: from __future__ import annotations
  from typing import TYPE_CHECKING, Tuple
  import operator
  import torch
  from torch.nn import functional
  from torch.fx.node import Node
  from torch.utils._pytree import tree_flatten, tree_unflatten
  from .utils import randomize_tensor_inplace, randomize_if_tensor, tree_map_zip, torch_float_dtype, poss_deepcopy
label_desc: Use image node_id 7 for calling the DefaultMaskUpdater obj's underlying member method code with example usage: obj.indirect_update_postprocess(model_speedup, node) without return types