(self, data: Any | None = None)
| 96 | self.set_spatial_size(spatial_size) |
| 97 | |
| 98 | def randomize(self, data: Any | None = None) -> None: |
| 99 | self.field[self.rand_slices] = torch.from_numpy(self.R.uniform(self.low, self.high, self.crand_size)) # type: ignore[index] |
| 100 | |
| 101 | def set_spatial_size(self, spatial_size: Sequence[int] | None) -> None: |
| 102 | """ |