Hi,

I met a problem, in my model, one layer is like:

```
class Model():
def __init__():
self.w = nn.Linear(1,2)
self.b = Variable(torch.randn(2))
def forward(x):
out = self.w(x) + self.b
```

I know there is bias on Linear model, but I want to get another bias, but after `torch.save(model.state_dict())`

, the `self.b`

can not be saved.

Hence, what is the right way to save the model so that I can use the `self.b`

from saved model?

Thanks