generative-models
generative-models copied to clipboard
Why run forward twice for G net
I am reading your least-square GAN code. The G net run twice for training G and D. Why cannot only run G.forward once as the input to G for the two runs are the same?
So that we run full ancestral sampling on both cases => independent samples of x. Haven't thought whether this have profound impact or not though. Feel free to experiment.