我试图将转移学习应用于InceptionV3。这是我的代码：

inception_model = InceptionV3(weights='imagenet',include_top=False)
output_inception = inception_model.output
output_globalavgpooling = GlobalAveragePooling2D()(output_inception)
output_dense = Dense(1024,activation='relu')(output_globalavgpooling)
predictions = Dense(1,activation='sigmoid')(output_dense)

final_model = Model(inception_model.input,output=predictions)

final_model.compile()

inception_model.summary()

运行此代码时，我在final_model = Model(inception_model.input,output=predictions)行遇到以下错误：

TypeError: Tensor is unhashable if Tensor equality is enabled. Instead,use tensor.experimental_ref() as the key.

我该怎么办？