GAN example: Only one backward() call?
In the PyTorch GAN tutorial https://pytorch.org/tutorials/beginner/dcgan_faces_tutorial.html there are two backward() calls for the discriminator. How do you ensure this with your structure, where backward() gets called after the training step?
Best,
Alain