(self, x)
| 784 | self.weight_adv = hparams["sag_w_adv"] |
| 785 | |
| 786 | def forward_c(self, x): |
| 787 | # learning content network on randomized style |
| 788 | return self.network_c(self.randomize(self.network_f(x), "style")) |
| 789 | |
| 790 | def forward_s(self, x): |
| 791 | # learning style network on randomized content |