Regarding loading state_dict in finetuning

[omayrkhan]

Firstly, thank you for making the code public, makes it a lot easier for people who want to apply this method to other domains.

Secondly, I'd like to ask if the following is intentional or a copy-paste error:

        netG_A.load_state_dict(self.netG_A.state_dict()) 
        netG_B.load_state_dict(self.netG_A.state_dict())
        netD_A.load_state_dict(self.netD_A.state_dict()) 
        netD_B.load_state_dict(self.netD_A.state_dict()) 

MT-GAN-PyTorch/models/mt_gan_model.py line: 270 -273

Shouldn't netG_B and netD_B be loaded with self.netG_B and self.netD_B state_dicts respectively? If I am not mistakenstate_dict doesn't only contain the architecture information but also the network weights. Also, if it's intentional, then I find it a bit confusing that how models performing opposite operations can share the same weights?