| 301 | self.print_fn(f"model saved: {save_filename}") |
| 302 | |
| 303 | def load_model(self, load_path): |
| 304 | checkpoint = torch.load(load_path) |
| 305 | |
| 306 | self.model.load_state_dict(checkpoint['model']) |
| 307 | self.ema_model = deepcopy(self.model) |
| 308 | self.ema_model.load_state_dict(checkpoint['ema_model']) |
| 309 | self.optimizer.load_state_dict(checkpoint['optimizer']) |
| 310 | self.scheduler.load_state_dict(checkpoint['scheduler']) |
| 311 | self.it = checkpoint['it'] |
| 312 | self.print_fn('model loaded') |
| 313 | |
| 314 | def interleave_offsets(self, batch, nu): |
| 315 | groups = [batch // (nu + 1)] * (nu + 1) |