(
self, num_iterations_per_epoch: int, num_epochs: int
)
| 19 | |
| 20 | @abstractmethod |
| 21 | def configure_optimizers( |
| 22 | self, num_iterations_per_epoch: int, num_epochs: int |
| 23 | ) -> Tuple[ |
| 24 | torch.optim.Optimizer, |
| 25 | Optional[Dict], |
| 26 | Optional[Dict], |
| 27 | ]: |
| 28 | raise NotImplementedError |
| 29 | |
| 30 | def on_train_epoch_end(self, trainer_instance=None): |
| 31 | pass |