This is the basic demo of the SEQUENCE GAN implemented by PyTorch for personal study.
The original versioin of the tenensorflow is in here
PyTorch 0.4.0
Visdom 0.1.7
Initialize the Visdom first.
$ python3 -m visdom.server
Then run by
$ python3 main
if using cuda then pass the cuda number.
$ python3 main --cuda=0
Then you can view the training curve in the visdom environment.
Adversarial training after 40 epoch supervised pretrain of the generator.