input: def Transpile(src_dir, dst_dir, model_filename, params_filename):
      """
      Transpile a given 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, feed target names, and fetch targets, applies the
      inference transpiler, and saves the optimized inference program to the destination
      directory. If the destination directory does not exist, it is created.
  
      >>> Transpile('/path/to/src', '/path/to/dst', 'model.pdmodel', 'model.pdiparams')
      Loading inference_program from /path/to/src
      Saving the optimized inference_program to /path/to/dst
      """
      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 argparse
      import paddle.fluid as fluid
  