Why using different noise for training `d` and `d_on_g`

[Amit Manchanda]

Hi
In line 96 we are defining noise which is used to generate images and train Discriminator d.
In line 108 we are again defining new noise which is used to train Generator d_on_g

Could you please explain why are we not using the noise defined in line 96? Is it because if we use the same starting point to train d and d_on_g it may overfit?

Thanks