写出调用tensorflow addons中experimental模块的代码

以下是调用TensorFlow Addons中experimental模块的示例代码：

import tensorflow as tf
import tensorflow_addons as tfa

# 定义模型
model = tf.keras.Sequential([
    tf.keras.layers.Dense(64, activation='relu'),
    tf.keras.layers.Dense(10, activation='softmax')
])

# 定义优化器
optimizer = tfa.optimizers.AdamW(learning_rate=0.001, weight_decay=0.001)

# 定义损失函数
loss_fn = tf.keras.losses.CategoricalCrossentropy()

# 定义数据集
train_dataset = # your training dataset
valid_dataset = # your validation dataset

# 定义训练过程
@tf.function
def train_step(inputs, labels):
    with tf.GradientTape() as tape:
        predictions = model(inputs, training=True)
        loss = loss_fn(labels, predictions)
    gradients = tape.gradient(loss, model.trainable_variables)
    optimizer.apply_gradients(zip(gradients, model.trainable_variables))
    return loss

# 训练模型
for epoch in range(10):
    for batch, (inputs, labels) in enumerate(train_dataset):
        loss = train_step(inputs, labels)
        print(f"Epoch {epoch+1}, Batch {batch+1}: Loss={loss:.4f}")