Created by: sguuaa

在fluid.io.load_vars后，希望看看模型的各个参数值，不知道如何debug。

##============= net =============##

    with fluid.program_guard(tp, sp):
        img = fluid.layers.data(
            name='img', shape=[3, input_size[1],  input_size[0]], dtype='float32')
        label = fluid.layers.data(name='label', shape=[1], dtype='int32')

        predict = net(img, args.num_classes)

    ##=========== exe   ===================##
    place = fluid.CPUPlace()
    if args.gpu != '-1':
        place = fluid.CUDAPlace(0)
    exe = fluid.Executor(place)
    exe.run(sp)

    ##========== load model ===============##
    if args.init_weights_path:
        logging.info("load from:" + args.init_weights_path)
        assert (os.path.isdir(args.init_weights_path))

        def if_exist(var):
            return os.path.exists(os.path.join(args.init_weights_path, var.name))

        fluid.io.load_vars(exe, dirname=args.init_weights_path, main_program=tp, predicate=if_exist)