code: def model_parse(self):
      for name, submodel in self.model.named_modules():
          for op_type in SUPPORTED_OP_TYPE:
              if isinstance(submodel, op_type):
                  self.target_layer[name] = submodel
                  self.already_pruned[name] = 0
  
file_path: auptimizer/src/aup/compression/torch/utils/sensitivity_analysis.py
imports: import copy
  import csv
  import logging
  from collections import OrderedDict
  import numpy
  import torch.nn
label_desc: Use image node_id 3 for calling the SensitivityAnalysis obj's underlying member method code with example usage: obj.model_parse() without return types