code: def forward(self, data):
      if self.operation == "preprocessing":
          return self.export_preprocessing(data)
      elif self.operation == "postprocessing":
          return self.export_postprocessing(data)
      else:
          # never reached here
          return data
  
imports: import torch
  import torch.nn
  from typing import List
  from sklearn.preprocessing import StandardScaler, MaxAbsScaler, MinMaxScaler, RobustScaler
  from .utils import _to_list
label_desc: Use image node_id 10 for calling the ExportJIT obj's underlying member method code with example usage: obj.forward(data) and returns: self, self, data