"mask_nonlinear" choose problem

[xiaoyiming]

Hi kaituo xu:
when I train your code on a new datasets I meet some problem. when I choose "mask_nonlinear" of relu , I can get similar results with you. However, when I choose ""mask_nonlinear" of softmax, the training loss is always -1. 4 . Did you meet the same problem ,when you choose "mask_nonlinear" of softmax? the choose in the Conv-tasnet is softmax, why do you choose relu?