有两种方式直接把模型的参数梯度设成0：
model.zero_grad()
optimizer.zero_grad() # 当optimizer=optim.Optimizer(model.parameters())时，两者等效
如果想要把某一Variable的梯度置为0，只需用以下语句：
Variable.grad.data.zero_()
# Zero the gradients before running the backward pass.
model.zero_grad()
# Before the backward pass, use the optimizer object to zero all of the
# gradients for the variables it will update (which are the learnable weights
# of the model)
optimizer.zero_grad()
本文内容由网友自发贡献，版权归原作者所有，本站不承担相应法律责任。如您发现有涉嫌抄袭侵权的内容，请联系:hwhale#tublm.com(使用前将#替换为@)
