generator = build_generator()
generator.compile(loss='binary_crossentropy', optimizer=adam_v2(0.002, 0.8), metrics=['accuracy'])
z = Input(shape=(input_dimwx,))
img = generator(z)
discriminator.trainable = False
valid = discriminator(img)
combined = Model(z, valid)
combined.compile(loss='binary_crossentropy', optimizer=adam_v2(0.002, 0.8), metrics=['accuracy'])

python这个问题怎么解决啊