如何获取自定义(子类) Keras层的摘要图？

import tensorflow as tf
from tensorflow.keras.layers import Layer

# 定义自定义层
class CustomLayer(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

# 创建模型
model = tf.keras.Sequential([
    CustomLayer(units=64),
    tf.keras.layers.Dense(units=10)
])

# 获取摘要图
model.summary()