(model, optimizer, filename="my_checkpoint.pth.tar")
| 36 | |
| 37 | |
| 38 | def save_checkpoint(model, optimizer, filename="my_checkpoint.pth.tar"): |
| 39 | print("=> Saving checkpoint") |
| 40 | checkpoint = { |
| 41 | "state_dict": model.state_dict(), |
| 42 | "optimizer": optimizer.state_dict(), |
| 43 | } |
| 44 | torch.save(checkpoint, filename) |
| 45 | |
| 46 | |
| 47 | def load_checkpoint(checkpoint_file, model, optimizer, lr): |