(self, data: Mapping[Hashable, torch.Tensor])
| 1017 | return d |
| 1018 | |
| 1019 | def inverse(self, data: Mapping[Hashable, torch.Tensor]) -> dict[Hashable, torch.Tensor]: |
| 1020 | d = dict(data) |
| 1021 | for key in self.key_iterator(d): |
| 1022 | d[key] = self.affine.inverse(d[key]) |
| 1023 | return d |
| 1024 | |
| 1025 | |
| 1026 | class RandAffined(RandomizableTransform, MapTransform, InvertibleTransform, LazyTransform): |
nothing calls this directly
no test coverage detected