[求助]使用CUBEAI导入Keras模型出错Error

错误如图所示，只弹出一个Error，但没错误信息，请教大佬该如何解决。

我的keras版本为2.8.0，训练模型的代码如下：

from keras.utils import np_utils

import numpy as np

np.random.seed(10)



from keras.datasets import mnist

(x_train_image, y_train_label), \

(x_test_image, y_test_label) = mnist.load_data()



x_Train = x_train_image.reshape(60000,784).astype('float32')

x_Test = x_test_image.reshape(10000,784).astype('float32')



x_Train_normalize = x_Train/255

x_Test_normalize = x_Test/255



y_Train_OneHot = np_utils.to_categorical(y_train_label)

y_Test_OneHot = np_utils.to_categorical(y_test_label)



from keras.models import Sequential  # 建立线性堆叠模型

from keras.layers import Dense



model = Sequential()

model.add(Dense(units=256,

                input_dim=784,

                kernel_initializer='normal',

                activation='relu'))

model.add(Dense(units=10,

                kernel_initializer='normal',

                activation='softmax'))



print(model.summary())



model.compile(loss='categorical_crossentropy',

              optimizer='adam', metrics=['accuracy'])



   

train_history = model.fit(x=x_Train_normalize,

                          y=y_Train_OneHot,validation_split=0.2,

                          epochs=10,batch_size=200,verbose=2)



model.save("C:/Users/Administrator/Desktop/model_keras.h5",save_format='keras')