Hi everyone,
I’m trying to implement one of the stability tricks for GAN using pytorch based on the DCGAN example.
I’ve used torch before and found a WhiteNoise Layer 252 that gave me good results, but now I’d like to port
this to pytorch.
I am no expert in pytorch therefore I’m having problems defining the forward method and make it compatible
to the multi-gpu dcgan example.
Any hint would be welcome and I’m happy to make pull request as an added feature once done.
Link to Gist containing my attempt 99
Edit:
I’ve followed the "extending pytorch guide on the docs and update my code accordingly."
There still seems to be an issue in the forward, due to error

“TypeError: forward() takes exactly 2 arguments (1 given)”