(self, metrics, weighted_metrics, sample_weight_mode)
| 1560 | return target_tensors |
| 1561 | |
| 1562 | def _compile_eagerly(self, metrics, weighted_metrics, sample_weight_mode): |
| 1563 | # Prepare sample weight modes. List with the same length as model outputs. |
| 1564 | training_utils.prepare_sample_weight_modes( |
| 1565 | self._training_endpoints, sample_weight_mode) |
| 1566 | # Prepare sample weights. |
| 1567 | self._prepare_sample_weights() |
| 1568 | # Save all metric attributes per output of the model. |
| 1569 | self._cache_output_metric_attributes(metrics, weighted_metrics) |
| 1570 | self.total_loss = None |
| 1571 | # Set metric attributes on model. |
| 1572 | self._set_metric_attributes() |
| 1573 | |
| 1574 | self._collected_trainable_weights = self._unique_trainable_weights |
| 1575 | |
| 1576 | def _update_sample_weight_modes(self, sample_weights=None): |
| 1577 | """Updates sample weight modes based on training/eval inputs. |
no test coverage detected