docstr: Set the already pruned ratio for the target layer.
docstr_tok: ["Set","the","already","pruned","ratio","for","the","target","layer","."]
code: def update_already_pruned(self, layername, ratio):
      """
      Set the already pruned ratio for the target layer.
      """
      self.already_pruned[layername] = ratio
  
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 7 for calling the SensitivityAnalysis obj's underlying member method code with example usage: obj.update_already_pruned(layername, ratio) without return types