InterpretDL 使用的时候都是传预训练的模型给解释器， 是否可以直接给他已经训练好的模型呢 about interpretdl HOT 1 CLOSED

import interpretdl as it
def paddle_model(data):
    import paddle.fluid as fluid
    class_num = 1000
    model = ResNet50()
    logits = model.net(input=image_input, class_dim=class_num)
    probs = fluid.layers.softmax(logits, axis=-1)
    return probs
sg = it.SmoothGradInterpreter(paddle_model, "assets/ResNet50_pretrained")
gradients = sg.interpret(img_path, visual=True, save_path='assets/sg_test.jpg')