:param sample: :param batch_idx: :return: output: {"losses": {...}, "total_loss": float, ...} or (total loss: torch.Tensor, loss_log: dict)
(self, sample, batch_idx)
| 177 | pass |
| 178 | |
| 179 | def validation_step(self, sample, batch_idx): |
| 180 | """ |
| 181 | |
| 182 | :param sample: |
| 183 | :param batch_idx: |
| 184 | :return: output: {"losses": {...}, "total_loss": float, ...} or (total loss: torch.Tensor, loss_log: dict) |
| 185 | """ |
| 186 | raise NotImplementedError |
| 187 | |
| 188 | def validation_end(self, outputs): |
| 189 | """ |
no outgoing calls