how to give two inputs to yolo darknet cfg files?

I have developed a rgbd model for yolov2 tiny..So it requires two inputs rgb and depth ..feature extraction seperately and join the layer later..On using [route] I cannot get two inputs

x = Conv2D(16, (3,3), strides=(1,1), padding='same', name='conv_1', use_bias=False)(input_image)            self.convLayers+=1            x = BatchNormalization(name='norm_1')(x)            x = LeakyReLU(alpha=0.1)(x)            Depthx = MaxPooling2D(pool_size=(2, 2))(x)            x = Conv2D(16, (3,3), strides=(1,1), padding='same', name='conv_2', use_bias=False)(input_image)            self.convLayers+=1            x = BatchNormalization(name='norm_1')(x)            x = LeakyReLU(alpha=0.1)(x)            Rgbx = MaxPooling2D(pool_size=(2, 2))(x)            # Fuse Layer            x = concatenate([Depthx, Rgbx])            x=Conv2D(16, (1,1), strides=(1,1), padding='same', name='conv_3', use_bias=False)(x)            self.convLayers+=1            x = BatchNormalization(name='norm_1')(x)            x = LeakyReLU(alpha=0.1)(x)            x = MaxPooling2D(pool_size=(2, 2))(x)

I need to write a config file for this model...Any kind of knowledge in config file writing is welcomeThanks in advance