class_docstr: This class is used to construct the restructure computation graph for
  call_module node with bias addition inside.
class_docstr_tok: ["This","class","is","used","to","construct","the","restructure","computation","graph","for","call_module","node","with","bias","addition","inside","."]
code: def __init__(self, tracer, target, args, kwargs, substitute_func):
      self.tracer = tracer
      self.target = target
      self.args = args
      self.kwargs = kwargs
      self.substitute_func = substitute_func
      self.weight_proxy = self._create_weight_proxy()
      self.bias_proxy = self._create_bias_proxy()
  
file_path: ColossalAI/colossalai/fx/tracer/bias_addition_patch/patched_bias_addition_module/bias_addition_module.py
imports: import operator
  from abc import ABC, abstractmethod
  import torch
  import torch.nn.functional
label_desc: Use image node_id 1 to create a new BiasAdditionModule object from inherited base classes: ABC with example: obj = BiasAdditionModule(tracer, target, args, kwargs, substitute_func)