(self, len_dataset: int)
| 10 | self.epoch = initial_epoch |
| 11 | |
| 12 | def train(self, len_dataset: int) -> None: |
| 13 | self.epoch += 1 |
| 14 | if self.epoch == 0: |
| 15 | self._print_header() |
| 16 | else: |
| 17 | self.flush() |
| 18 | |
| 19 | self.is_train = True |
| 20 | self.last_steps_state = {"loss": 0.0, "accuracy": 0.0, "steps": 0} |
| 21 | self._reset(len_dataset) |
| 22 | |
| 23 | def eval(self, len_dataset: int) -> None: |
| 24 | self.flush() |
no test coverage detected