input: 
  def Transpile(src_dir, dst_dir, model_filename, params_filename):
      """Transpiles a given inference model from the source directory to an optimized version in the destination directory using Paddle Fluid.
      Creates a CPUPlace and an Executor, loads the inference program and its parameters, applies the inference transpiler, and saves the optimized program.
      If the destination directory does not exist, it is created.
  
      Example:
      >>> Transpile('src_model', 'dst_model', 'model', 'params')
      Loading inference_program from src_model
      Saving the optimized inference_program to dst_model
      """
      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
  