training start!
[1/100] - time: 0.03, Disc loss: nan, Gen loss: nan, Con loss: nan
[2/100] - time: 0.02, Disc loss: nan, Gen loss: nan, Con loss: nan
[3/100] - time: 0.02, Disc loss: nan, Gen loss: nan, Con loss: nan
[4/100] - time: 0.02, Disc loss: nan, Gen loss: nan, Con loss: nan
[5/100] - time: 0.02, Disc loss: nan, Gen loss: nan, Con loss: nan
...
I tried different datasets, and the train loss is nan.
By the way, I see the warning that optimizer is before lr_scheduler, so I adjustment the order of the two.
Could you tell me how to solve this problem? Thank you.
training start! [1/100] - time: 0.03, Disc loss: nan, Gen loss: nan, Con loss: nan [2/100] - time: 0.02, Disc loss: nan, Gen loss: nan, Con loss: nan [3/100] - time: 0.02, Disc loss: nan, Gen loss: nan, Con loss: nan [4/100] - time: 0.02, Disc loss: nan, Gen loss: nan, Con loss: nan [5/100] - time: 0.02, Disc loss: nan, Gen loss: nan, Con loss: nan ...
I tried different datasets, and the train loss is nan.
By the way, I see the warning that optimizer is before lr_scheduler, so I adjustment the order of the two. Could you tell me how to solve this problem? Thank you.