in utils.py [0:0]
def loss_with_reg(model, data, target, loss_fn, lam):
model.zero_grad()
loss = loss_fn(model(data), target)
if lam > 0:
for param in model.parameters():
loss += lam * param.pow(2).sum() / 2
loss.backward()
return loss