gan and other losses are nan
tangeroo opened this issue · 2 comments
tangeroo commented
@avalonstrel Hi,
Thanks for your excellent work!
When I train this net with my own data, I tried many times,also made learning rate smaller,Nan of losses happened soon or later.By the way,My mask configuration is irrmask/random_free_form.Do you have any suggestions for this promblem?
Thanks.
WangQinghuCS commented
Hi, I come across the same problem. Can you tell me how to solve it?
tangeroo commented
@WangQinghuCS
hi, in my case , it's because my dataset has some problem. My net input is calculated by (img-min)/(max-min)-1, however some images their max = min, so the input is nan. Maybe you can check your dataset.