AttributeError：“ Conv2D”对象没有属性“ get_config”

Question

我正在尝试对mnist数据集进行fgsm攻击。我收到“对象没有属性”错误：
我用了： python 2（在Google colab中） 凯拉斯== 2.1.3 tensorflow == 1.14.0

我还使用keras == 1.2和keras == 2.1.5来运行它， 我还将get_config设置为_get_config， 但是，所有运行都会失败。

Unit_keras.py在这里：https://github.com/tensorflow/cleverhans/blob/master/cleverhans/utils_keras.py
我还使用了：https://github.com/tensorflow/cleverhans/blob/6b065c4507f50e2545c009f75e82678f92353163/cleverhans/utils_keras.py

   x_adv_sub = fgsm.generate(images_tensor, **fgsm_par)
File "/content/defensegan/cleverhans/attacks/fast_gradient_method.py", 
   line 50, in generate
   labels, _nb_classes = self.get_or_guess_labels(x, kwargs)
File "/content/defensegan/cleverhans/attacks/attack.py", line 278, in 
   get_or_guess_labels
   preds = self.model.get_probs(x)
File "/content/defensegan/cleverhans/utils_keras.py", line 196, in 
   get_probs
  :return: Names of all the layers kept by Keras
File "/content/defensegan/cleverhans/utils_keras.py", line 130, in 
  _get_softmax_name
   def _get_abstract_layer_name(self):
AttributeError: 'Conv2D' object has no attribute 'get_config'