将多个模型部署到同一个服务时，会出现stack错误. 原因是program为全局.

改成这样，可以解决.

 

solved by myself. for those who need it:
use a new scope for every model

  scope = fluid.Scope()
        with fluid.scope_guard(scope):
            place = fluid.CPUPlace()
            exe = fluid.Executor(place)
            [inference_program, _, fetch_targets] = (
                fluid.io.load_inference_model(dirname=model_path[0], executor=exe,
                                          model_filename=model_path[1],
                                          params_filename=params_path[1]))

 

and for prediction:

  with fluid.scope_guard(scope):
            results = exe.run(inference_program,
                          feed=inputs,
                          fetch_list=fetch_targets)

 

参考链接： https://github.com/PaddlePaddle/models/issues/1164