| 286 | self.print_fn(f"model saved: {save_filename}") |
| 287 | |
| 288 | def load_model(self, load_path): |
| 289 | checkpoint = torch.load(load_path) |
| 290 | |
| 291 | self.model.load_state_dict(checkpoint['model']) |
| 292 | self.optimizer.load_state_dict(checkpoint['optimizer']) |
| 293 | self.scheduler.load_state_dict(checkpoint['scheduler']) |
| 294 | self.it = checkpoint['it'] |
| 295 | self.ema_model.load_state_dict(checkpoint['ema_model']) |
| 296 | self.print_fn('model loaded') |
| 297 | |
| 298 | def interleave_offsets(self, batch, nu): |
| 299 | groups = [batch // (nu + 1)] * (nu + 1) |