code: def save_inference_model(
      self,
      dirname,
      model_filename=None,
      params_filename=None,
      combined=True,
  ):
      encode_dirname = os.path.join(dirname, "encoder")
      decode_dirname = os.path.join(dirname, "decoder")
      self._save_encode_model(
          encode_dirname, model_filename, params_filename, combined
      )
      self._save_decode_model(
          decode_dirname, model_filename, params_filename, combined
      )
  
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 4 for calling the StyleProjection obj's underlying member method code with example usage: obj.save_inference_model(dirname, model_filename, params_filename, combined) without return types