Hi,

I am using pytorch to implement a word2vec-like model. I frequently faced overflow/underflow with logsigmoid operation.

For example, if I run pytorch like this F.logsigmoid(autograd.Variable(torch.FloatTensor([-300.0]))) the result is -inf. It would be better if pytorch could implement the logsigmoid with overflow check.

Thanks