I have a binary classification model, that in the latest linear layer, it outputs only positive values (don’t ask why, that’s a different matter), now when i give the final layer’s output to torch.sigmoid, all the results are above 50%, because the final linear layer is only outputting positive values, how can i fix this and output probability? is there any “positive only” sigmoid in pytorch?