code: def _save_encode_model(
      self,
      dirname,
      model_filename=None,
      params_filename=None,
      combined=True,
  ):
      if combined:
          model_filename = (
              "__model__" if not model_filename else model_filename
          )
          params_filename = (
              "__params__" if not params_filename else params_filename
          )
      place = paddle.CPUPlace()
      exe = paddle.Executor(place)
  
      (
          encode_program,
          encode_feeded_var_names,
          encode_target_vars,
      ) = paddle.static.load_inference_model(
          dirname=self.pretrained_encoder_net, executor=exe
      )
  
      paddle.static.save_inference_model(
          dirname=dirname,
          main_program=encode_program,
          executor=exe,
          feeded_var_names=encode_feeded_var_names,
          target_vars=encode_target_vars,
          model_filename=model_filename,
          params_filename=params_filename,
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  import argparse
  import ast
  import copy
  import os
  import time
  import numpy
  import paddle
  from paddle.inference import Config
  from paddle.inference import create_predictor
  from stylepro_artistic.data_feed import reader
  from stylepro_artistic.processor import base64_to_cv2
  from stylepro_artistic.processor import cv2_to_base64
  from stylepro_artistic.processor import fr
  from stylepro_artistic.processor import postprocess
  import paddlehub
  from paddlehub.module.module import moduleinfo
  from paddlehub.module.module import runnable
  from paddlehub.module.module import serving
label_desc: Use image node_id 5 for calling the StyleProjection obj's underlying member method code with example usage: obj._save_encode_model(dirname, model_filename, params_filename, combined) without return types