Assignment about Wasserstein GAN

Need to change it to

1- Run multiple WGANs in parallel

2- Compute the max of value returned by all WGAN per iteration and based on it compute other equation

General idea: The original code run one Wasserstein GAN in multiple iterations(100000), The new changes are:

1- running multiple Wasserstein GAN in parallel in multiple iterations(100000), (the number of Wasserstein GAN is defined by user- I means the user can choose any number of WGAN)- similar to the original code but instead of run one, run many in parallel.

2- For each iteration (100000), Each WGAN will compute the mean of the fake examples vs. the real ones. [And based on all WGANs that run in parallel, critique w's fake examples vs. the real ones by selecting the max score of w based on the computation above. Then, update the generator w based on the max score of Critic w that compute.

Attachment:- Assignment File.rar