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 _get_linear_module_name(linear_node):
      return linear_node.target.split(".")[-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 2 for calling the MergeLinears obj's underlying member method code with example usage: obj._get_linear_module_name(linear_node) and returns: linear_node