在keras中，如何在将输入输入到神经网络的同时使用两个不同的生成器？

from keras.models import Model
from keras.layers import Input, Dense

input1 = Input(shape=(input_shape1,))
input2 = Input(shape=(input_shape2,))

hidden1 = Dense(units=hidden_units1, activation='relu')(input1)
hidden2 = Dense(units=hidden_units2, activation='relu')(input2)

merged = concatenate([hidden1, hidden2])

output = Dense(units=output_units, activation='softmax')(merged)

model = Model(inputs=[input1, input2], outputs=output)

model.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy'])

model.fit([input_data1, input_data2], output_data, epochs=num_epochs, batch_size=batch_size)