(self, data: Mapping[Hashable, torch.Tensor])
| 1712 | return d |
| 1713 | |
| 1714 | def inverse(self, data: Mapping[Hashable, torch.Tensor]) -> dict[Hashable, torch.Tensor]: |
| 1715 | d = dict(data) |
| 1716 | for key in self.key_iterator(d): |
| 1717 | xform = self.pop_transform(d[key]) |
| 1718 | if xform[TraceKeys.DO_TRANSFORM]: |
| 1719 | d[key].applied_operations.append(xform[TraceKeys.EXTRA_INFO]) # type: ignore |
| 1720 | d[key] = self.flipper.inverse(d[key]) |
| 1721 | return d |
| 1722 | |
| 1723 | |
| 1724 | class Rotated(MapTransform, InvertibleTransform, LazyTransform): |
nothing calls this directly
no test coverage detected