class_docstr: Transformation that merges linear layers that take the same input into one big linear layer.
class_docstr_tok: ["Transformation","that","merges","linear","layers","that","take","the","same","input","into","one","big","linear","layer","."]
code: def reverse(self, graph_module: "GraphModule") -> "GraphModule":
      for node in self.get_transformed_nodes(graph_module):
          self._unmerge_linears(
              graph_module,
              node,
              graph_module.get_submodule(node.target),
          )
      return graph_module
  
imports: import collections
  import copy
  import functools
  import itertools
  import operator
  import warnings
  from abc import ABC, abstractmethod
  from typing import TYPE_CHECKING, List
  import torch
  from transformers.file_utils import add_end_docstrings
  from transformers.utils.fx import _gen_constructor_wrapper
label_desc: Use image node_id 7 for calling the MergeLinears obj's underlying member method code with example usage: obj.reverse(graph_module) and returns: graph_module