mxnet:有没有办法在回调中监控学习率的值？

import mxnet as mx

# 自定义回调函数
def lr_callback(epoch, learning_rate):
    print("Epoch {}, Learning Rate {}".format(epoch, learning_rate))

# 创建学习率调度器
lr_scheduler = mx.lr_scheduler.FactorScheduler(step=10, factor=0.5)

# 创建训练器
trainer = mx.gluon.Trainer(net.collect_params(), 'sgd', {'learning_rate': 0.1, 'lr_scheduler': lr_scheduler})

# 训练过程中使用回调函数
for epoch in range(100):
    # 训练代码...
    trainer.step(batch_size)

    # 获取当前学习率
    current_lr = trainer.learning_rate

    # 调用回调函数
    lr_callback(epoch, current_lr)