Method __call__

monai/transforms/croppad/array.py:480–487

Apply the transform to `img`, assuming `img` is channel-first and slicing doesn't apply to the channel dim.

(self, img: torch.Tensor, lazy: bool | None = None)

        )

    def __call__(self, img: torch.Tensor, lazy: bool | None = None) -> torch.Tensor:  # type: ignore[override]
        """
        Apply the transform to `img`, assuming `img` is channel-first and
        slicing doesn't apply to the channel dim.

        """
        lazy_ = self.lazy if lazy is None else lazy
        return super().__call__(img=img, slices=ensure_tuple(self.slices), lazy=lazy_)


class CenterSpatialCrop(Crop):