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 _linear_node_to_module_and_attribute_name(
      graph_module, linear_node_target
  ):
      names = linear_node_target.split(".")
      mod = graph_module
      if len(names) > 1:
          for name in names[:-1]:
              mod = getattr(mod, name)
      return mod, names[-1]
  
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 3 for calling the MergeLinears obj's underlying member method code with example usage: obj._linear_node_to_module_and_attribute_name(graph_module, linear_node_target) and returns: mod,  names