如何使用keras编写具有多个条件的条件？

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

input_A = Input(shape=(n_features_A,))
input_B = Input(shape=(n_features_B,))

hidden_A = Dense(n_hidden_units)(input_A)
output_A = Dense(n_output_units)(hidden_A)

hidden_B = Dense(n_hidden_units)(input_B)
output_B = Dense(n_output_units)(hidden_B)

merged = concatenate([output_A, output_B])

output = Dense(n_output_units)(merged)
model = Model(inputs=[input_A, input_B], outputs=output)

model.compile(optimizer='adam', loss='mse')
model.fit([data_A, data_B], labels, epochs=n_epochs, batch_size=batch_size)