如何按顺序组合2个tensorflow模型？

import tensorflow as tf
from tensorflow.keras.models import Model
from tensorflow.keras.layers import Input

input1 = Input(shape=(input_shape1,))
# 定义第一个模型的其它层
...

input2 = Input(shape=(input_shape2,))
# 定义第二个模型的其它层
...

model1 = Model(inputs=input1, outputs=output1)

model2 = Model(inputs=input2, outputs=output2)

combined_model = Model(inputs=[model1.input, model2.input], outputs=[model1.output, model2.output])

combined_model.compile(optimizer='adam', loss='mse')

combined_model.fit([input_data1, input_data2], [target_data1, target_data2], epochs=10, batch_size=32)