Hi,
When I did something like this:

----------------code-----------------
temp = torch.add(sub_x_tensor, -1.1)

(type of 'sub_x_tensor' : torch.cuda.LongTensor)

And an error happened:
-------------screen's print---------------
TypeError: torch.add received an invalid combination of arguments - got (torch.cuda.LongTensor, float), but expected one of:

• (torch.cuda.LongTensor source, int value)
  didn't match because some of the arguments have invalid types: (torch.cuda.LongTensor, float)
• (torch.cuda.LongTensor mat1, torch.cuda.sparse.LongTensor mat2)
  didn't match because some of the arguments have invalid types: (torch.cuda.LongTensor, float)
• (torch.cuda.LongTensor source, torch.cuda.LongTensor other)
  didn't match because some of the arguments have invalid types: (torch.cuda.LongTensor, float)
• (torch.cuda.LongTensor mat1, int value, torch.cuda.sparse.LongTensor mat2)
• (torch.cuda.LongTensor source, int value, torch.cuda.LongTensor other)

But after I checked the doc of torch.add() from http://pytorch.org/docs/torch.html#pointwise-ops, it shows that the added value can be 'float'

torch.add(input, value, out=None)

Parameters:
input (Tensor) – the input Tensor
value (float) – the number to be added to each element of input
out (Tensor, optional) – The result Tensor

I don't know what's wrong here, could someone kindly help me with this?
pytorch version:
torch==0.1.8.post1
torchvision==0.1.7

Ubuntu 14.04
python2.7

Thanks