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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?
The text was updated successfully, but these errors were encountered:
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.
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?
The text was updated successfully, but these errors were encountered: