input: 
  def Transpile(src_dir, dst_dir, model_filename, params_filename):
      """
      Transpile a model from a source directory to a destination directory using Paddle Fluid.
  
      This function loads an inference model from the source directory, applies an optimization
      transpilation, and saves the optimized model to the destination directory. If the destination
      directory does not exist, it will be created.
  
      Args:
          src_dir (str): Source directory of the inference model.
          dst_dir (str): Destination directory to save the optimized inference model.
          model_filename (str): Name of the model file.
          params_filename (str): Name of the parameters file.
  
      Example:
      >>> Transpile('source_dir', 'destination_dir', 'model.pdmodel', 'model.pdiparams')
      """
      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
  