优化器调用问题

[fanfanimage]

for mini_batch_X, mini_batch_Y in mini_batch_XYs: mini_batch_Y_hat = model.forward(mini_batch_X) model.backward(mini_batch_Y) optimizer.zero_grad() optimizer.add_grad(model.get_grad_dict()) optimizer.step() 您好： 已知：model.forward()函数用的参数(w,b)是存在列表里面，经过 optimizer.step()更新后的参数是存在字典里。 疑问：在循环时，model.forward()函数为什么能够使用存在字典里的参数呢？ 谢谢！

[SingleZombie]

The issue has been resolved on Zhihu. Thanks for sharing your questions.