在Keras中，是否可以再次在下面的自定义图层中使用神经网络的输入？

import tensorflow as tf
from tensorflow.keras import layers

class CustomLayer(layers.Layer):
    def __init__(self, units=32):
        super(CustomLayer, self).__init__()
        self.units = units

    def build(self, input_shape):
        self.w = self.add_weight(shape=(input_shape[-1], self.units),
                                 initializer='random_normal',
                                 trainable=True)
        self.b = self.add_weight(shape=(self.units,),
                                 initializer='zeros',
                                 trainable=True)

    def call(self, inputs):
        return tf.matmul(inputs, self.w) + self.b

# 创建一个简单的模型
inputs = tf.keras.Input(shape=(784,))
x = layers.Dense(64, activation='relu')(inputs)
x = CustomLayer(32)(x)
outputs = layers.Dense(10, activation='softmax')(x)

model = tf.keras.Model(inputs=inputs, outputs=outputs)