regularization pytorch

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1 loss = mse(pred, target)
2 l1 = 0
3 for p in net.parameters():
4  l1 = l1 + p.abs().sum()
5 loss = loss + lambda_l1 * l1
6 loss.backward()
7 optimizer.step()
8

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