(opt, actions, train_loader, model, optimizer, epoch)
| 43 | CFM = get_model(args.model_type) |
| 44 | |
| 45 | def train(opt, actions, train_loader, model, optimizer, epoch): |
| 46 | return step('train', opt, actions, train_loader, model, optimizer, epoch) |
| 47 | |
| 48 | def val(opt, actions, val_loader, model, steps=None): |
| 49 | with torch.no_grad(): |