In your current example you’ll already create a torch.FloatTensor, since the type will be inferred automatically using the passed values.
However, if you would like to specify it, you could pass the dtype argument:
x = torch.tensor([[1., -1.], [1., 1.]], dtype=torch.float, requires_grad=True)
print(x.type())
> torch.FloatTensor