(self, data: Mapping[Hashable, torch.Tensor])
| 1929 | return d |
| 1930 | |
| 1931 | def inverse(self, data: Mapping[Hashable, torch.Tensor]) -> dict[Hashable, torch.Tensor]: |
| 1932 | d = dict(data) |
| 1933 | for key in self.key_iterator(d): |
| 1934 | xform = self.pop_transform(d[key]) |
| 1935 | if xform[TraceKeys.DO_TRANSFORM]: |
| 1936 | d[key].applied_operations.append(xform[TraceKeys.EXTRA_INFO]) # type: ignore |
| 1937 | d[key] = self.rand_rotate.inverse(d[key]) |
| 1938 | return d |
| 1939 | |
| 1940 | |
| 1941 | class Zoomd(MapTransform, InvertibleTransform, LazyTransform): |
nothing calls this directly
no test coverage detected