input: def Transpile(src_dir: str, dst_dir: str, model_filename: str, params_filename: str):
      """
      Transpiles an inference model from source directory to destination directory using PaddlePaddle Fluid.
      
      The function performs the following steps:
      1. Creates a CPUPlace and an Executor.
      2. Loads the inference program, feed target names, and fetch targets from the source directory.
      3. Clones the inference program and applies the inference transpiler.
      4. Saves the optimized inference program to the destination directory.
      5. If the destination directory does not exist, it creates it.
      
      Example:
      >>> Transpile('/src_dir', '/dst_dir', 'model', 'params')
      """
      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(description='Transpile an inference model')
      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
  