(self, data: torch.Tensor)
| 1482 | return out |
| 1483 | |
| 1484 | def inverse(self, data: torch.Tensor) -> torch.Tensor: |
| 1485 | transform = self.pop_transform(data) |
| 1486 | if not transform[TraceKeys.DO_TRANSFORM]: |
| 1487 | return data |
| 1488 | data.applied_operations.append(transform[TraceKeys.EXTRA_INFO]) # type: ignore |
| 1489 | return self.flipper.inverse(data) |
| 1490 | |
| 1491 | |
| 1492 | class RandAxisFlip(RandomizableTransform, InvertibleTransform, LazyTransform): |
nothing calls this directly
no test coverage detected