想问问assert在这段代码的意思，求解答～
代码来源：李沐的动手学深度学习
https://zh-v2.d2l.ai/chapter_linear-networks/softmax-regression-scratch.html
```python
def train_ch3(net, train_iter, test_iter, loss, num_epochs, updater): #@save
"""训练模型（定义见第3章）"""
animator = Animator(xlabel='epoch', xlim=[1, num_epochs], ylim=[0.3, 0.9],
legend=['train loss', 'train acc', 'test acc'])
for epoch in range(num_epochs):
train_metrics = train_epoch_ch3(net, train_iter, loss, updater)
test_acc = evaluate_accuracy(net, test_iter)
animator.add(epoch + 1, train_metrics + (test_acc,))
train_loss, train_acc = train_metrics
assert train_loss < 0.5, train_loss
assert train_acc <= 1 and train_acc > 0.7, train_acc
assert test_acc <= 1 and test_acc > 0.7, test_acc
```
assert train_loss < 0.5, train_loss
您好，这句话的意思是判断最终的损失函数是否小于0.5，如果不满足则报错，并打印出这个损失函数的值，例如如果最终的train_loss=0.6，就会报错，并打印出0.6
assert False 抛出异常