class_docstr: HolderModule is used to copy all the attributes from original module to submodules
  that uses the attributes
class_docstr_tok: ["HolderModule","is","used","to","copy","all","the","attributes","from","original","module","to","submodules","that","uses","the","attributes"]
code: def __init__(self, d):
      super().__init__()
      for k, v in d.items():
          self.add_module(k, v)
  
file_path: pytorch/torch/fx/passes/utils/common.py
imports: from typing import Dict, Tuple
  from torch.fx._compatibility import compatibility
  from torch.fx.graph import Graph
  from torch.fx.graph_module import GraphModule
  from torch.fx.passes.utils.matcher_utils import SubgraphMatcher
  from torch.nn import Module
label_desc: Use image node_id 1 to create a new HolderModule object from inherited base classes: Module with example: obj = HolderModule(d)