(self, data: torch.Tensor)
| 1695 | return out # type: ignore |
| 1696 | |
| 1697 | def inverse(self, data: torch.Tensor) -> torch.Tensor: |
| 1698 | xform_info = self.pop_transform(data) |
| 1699 | if not xform_info[TraceKeys.DO_TRANSFORM]: |
| 1700 | return data |
| 1701 | return Zoom(self._zoom).inverse_transform(data, xform_info[TraceKeys.EXTRA_INFO]) |
| 1702 | |
| 1703 | |
| 1704 | class AffineGrid(LazyTransform): |
nothing calls this directly
no test coverage detected