Method __init__

monai/transforms/croppad/array.py:545–547

(self, roi_scale: Sequence[float] | float, lazy: bool = False)

    """

    def __init__(self, roi_scale: Sequence[float] | float, lazy: bool = False):
        super().__init__(lazy=lazy)
        self.roi_scale = roi_scale

    def __call__(self, img: torch.Tensor, lazy: bool | None = None) -> torch.Tensor:  # type: ignore[override]
        img_size = img.peek_pending_shape() if isinstance(img, MetaTensor) else img.shape[1:]