In the documentation of the super_res_net, it is written that the code is based on the implementation of this github page (GitHub - sgrvinod/a-PyTorch-Tutorial-to-Super-Resolution: Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution).
This github page has two architectures SRResNet and SRGAN.
The SRResNet has only generator and the SRGAN has generator and discriminator.
I am not sure of the super_res_net in Nvidia Modulus included the discriminator as well in the architecture or not.
Thanks in advance