(self, model)
| 129 | self.save_ema_weights() |
| 130 | |
| 131 | def copy_weights_to(self, model): |
| 132 | for name, param in model.named_parameters(): |
| 133 | if param.requires_grad: |
| 134 | param.data = self.registered[name] |
| 135 | |
| 136 | def save_ema_weights(self): |
| 137 | torch.save(self.registered, self.save_filename) |