(self)
| 433 | self.load_network(load_path_G, self.netG, self.opt['path']['strict_load']) |
| 434 | |
| 435 | def load_Pre(self): |
| 436 | load_path_G = self.opt['path']['pretrain_model_G'] |
| 437 | if load_path_G is not None: |
| 438 | logger.info('Loading model for WarmUp G [{:s}] ...'.format(load_path_G)) |
| 439 | self.load_network(load_path_G, self.netG_Pre, self.opt['path']['strict_load']) |
| 440 | |
| 441 | def save_M(self,name): |
| 442 | with torch.no_grad(): |