Because my code is in the class method and after two ifs, it looks this way:

```
if self.is_cuda:
states = (torch.autograd.Variable(
torch.zeros(self.model.num_layers, batch_size,
self.model.hidden_size)).cuda(),
torch.autograd.Variable(
torch.zeros(self.model.num_layers, batch_size,
self.model.hidden_size)).cuda())
inputs = torch.autograd.Variable(
torch.from_numpy(context)).cuda()
else:
states = (torch.autograd.Variable(
torch.zeros(self.model.num_layers, batch_size,
self.model.hidden_size)),
torch.autograd.Variable(
torch.zeros(self.model.num_layers, batch_size,
self.model.hidden_size)))
```

which I find really awful. How can I refactor it to more compact look?

EDIT: I am initializing states for LSTMs for language models