input: def Transpile(src_dir, dst_dir, model_filename, params_filename):
      """
      Transpiles an inference model from a source directory to a destination directory.
      The function creates a CPUPlace object and an Executor object using Paddle Fluid,
      loads the inference program from the source directory, applies the inference transpiler,
      and saves the optimized inference program to the destination directory.
      If the destination directory does not exist, it creates it.
      
      >>> Transpile('/source', '/destination', 'model.pdmodel', 'params.pdparams')
      Loading inference_program from  /source
      Saving the optimized inference_program to  /destination
      >>> Transpile('/no_exist', '/dest', 'model.pdmodel', 'params.pdparams')
      Loading inference_program from  /no_exist
      Saving the optimized inference_program to  /dest
      """
      place = fluid.CPUPlace()
      exe = fluid.Executor(place)
  
      inference_scope = fluid.core.Scope()
      with fluid.scope_guard(inference_scope):
          print("Loading inference_program from ", src_dir)
          [inference_program, feed_target_names,
           fetch_targets] = fluid.io.load_inference_model(src_dir, exe, model_filename, params_filename)
  
          inference_transpiler_program = inference_program.clone()
          t = fluid.InferenceTranspiler()
          t.transpile(inference_transpiler_program, place)
  
          print("Saving the optimized inference_program to ", dst_dir)
          if not os.path.isdir(dst_dir):
              os.makedirs(dst_dir)
          model_path = os.path.join(dst_dir, model_filename)
          with open(model_path, "wb") as f:
              f.write(inference_transpiler_program.desc.serialize_to_string())
          fluid.io.save_persistables(exe, dst_dir, inference_transpiler_program, params_filename)
  
  def main():
      parser = argparse.ArgumentParser()
      parser.add_argument('--src_dir', help='Source directory of inference model')
      parser.add_argument('--dst_dir', help='Destination directory of inference model')
      parser.add_argument('--model_filename', default=None, help='The name of model file')
      parser.add_argument('--params_filename', default=None, help='The name of params file')
      args = parser.parse_args()
      Transpile(args.src_dir, args.dst_dir, args.model_filename, args.params_filename)
  
  if __name__ == '__main__':
      main()
output:     
  import os
  import paddle.fluid as fluid
  import argparse
  