Created by: lgone2000

def testsaveinference1():
    
    a = fluid.layers.data(name='a', shape=[-1,1], dtype='float32', append_batch_size=False)
    # fc可以work
    #d = fluid.layers.fc(a, size=1)
    #换成下面这个就报错
    d = a+1
    
    place = fluid.CPUPlace()
    exe = fluid.Executor(place)
    exe.run(fluid.default_startup_program())
    output = exe.run(fluid.default_main_program(), feed={'a':np.ones([1,1], np.float32)}, fetch_list=[d])
    print output
     
    fluid.io.save_inference_model(
        dirname='test',
        feeded_var_names=['a'],
        target_vars=[d],
        executor=exe,
        main_program=fluid.default_main_program(),
        model_filename='model',
        params_filename='params')