What we expect Improved GAN and Mode GAN (with dynamic activation maximization) to learn.
What Mode GAN learns.
Run this example on cpu with:
python main.py --d_loss nll --g_loss activation_maximization --n_real_classes 10 --variance 2.0 --ngpu 0
Omit --ngpu to run on default GPU.
See:
python main.py
Don't forget to run visdom in a different screen.
Works on torch 1.8.0 with python 3.6.12.
Works on ROCM 3.10 also.
Originally written on torch 1.0.1 python 3.6.8 cuda 10.0, cudnn 7.5.0