(self, opt)
| 17 | """MIM model for masked image modeling.""" |
| 18 | |
| 19 | def __init__(self, opt): |
| 20 | super(RAMPlusPretrainModel, self).__init__(opt) |
| 21 | self.net_g = build_network(opt["network_g"]) |
| 22 | self.net_g = self.model_to_device(self.net_g) |
| 23 | self.print_network(self.net_g) |
| 24 | |
| 25 | self.net_mask = build_network(opt["network_mask"]) |
| 26 | self.net_mask = self.model_to_device(self.net_mask) |
| 27 | self.print_network(self.net_mask) |
| 28 | if self.is_train: |
| 29 | self.init_training_settings() |
| 30 | else: |
| 31 | self.load_pretrained_models() |
| 32 | |
| 33 | def init_training_settings(self): |
| 34 | self.net_g.train() |
nothing calls this directly
no test coverage detected