(self, features)
| 59 | return features |
| 60 | |
| 61 | def normalize(self, features): |
| 62 | mean = torch.tensor(self.hparams.mean).to(features) |
| 63 | std = torch.tensor(self.hparams.std).to(features) |
| 64 | features = (features - mean) / std |
| 65 | return features |
| 66 | |
| 67 | def renorm4t2m(self, features): |
| 68 | # renorm to t2m norms for using t2m evaluators |
no test coverage detected