Method inverse

monai/transforms/spatial/dictionary.py:1633–1641

(self, data: Mapping[Hashable, torch.Tensor])

        return d

    def inverse(self, data: Mapping[Hashable, torch.Tensor]) -> dict[Hashable, torch.Tensor]:
        d = dict(data)
        for key in self.key_iterator(d):
            xform = self.pop_transform(d[key])
            if not xform[TraceKeys.DO_TRANSFORM]:
                continue
            with self.flipper.trace_transform(False):
                d[key] = self.flipper(d[key])
        return d


class RandAxisFlipd(RandomizableTransform, MapTransform, InvertibleTransform, LazyTransform):