sigmoid function is missing in layers/discriminator.py

[liangxun]

It seems that the sigmoid function is missing in layers/discriminator.py[line30].
Explained in your paper, the logistic sigmoid nonlinearity is used to convert scores into probabilities of (h_i, s) being a positive example.

[PetarV-]

Hello,

Thanks for your issue. The sigmoidal function is (implicitly) applied by the BCEWithLogitsLoss as used here:
https://github.com/PetarV-/DGI/blob/master/execute.py#L60

Working with raw inputs allows for some numerical tricks to make the computation more stable.

Thanks,
Petar