(self, x, env=None)
| 724 | return return_embedding.view(1, -1).repeat(len(features), 1) |
| 725 | |
| 726 | def predict(self, x, env=None): |
| 727 | features = self.featurizer(x) |
| 728 | embedding = self.update_embeddings_(features, env).normal_() |
| 729 | return self.classifier(torch.cat((features, embedding), 1)) |
| 730 | |
| 731 | |
| 732 | class SagNet(Algorithm): |
no test coverage detected