Method __init__

monai/transforms/spatial/array.py:1193–1208

Args: k: number of times to rotate by 90 degrees. spatial_axes: 2 int numbers, defines the plane to rotate with 2 spatial axes. Default: (0, 1), this is the first two axis in spatial dimensions. If axis is negative it counts from the l

(self, k: int = 1, spatial_axes: tuple[int, int] = (0, 1), lazy: bool = False)

    backend = [TransformBackends.TORCH]

    def __init__(self, k: int = 1, spatial_axes: tuple[int, int] = (0, 1), lazy: bool = False) -> None:
        """
        Args:
            k: number of times to rotate by 90 degrees.
            spatial_axes: 2 int numbers, defines the plane to rotate with 2 spatial axes.
                Default: (0, 1), this is the first two axis in spatial dimensions.
                If axis is negative it counts from the last to the first axis.
            lazy: a flag to indicate whether this transform should execute lazily or not.
                Defaults to False
        """
        LazyTransform.__init__(self, lazy=lazy)
        self.k = (4 + (k % 4)) % 4  # 0, 1, 2, 3
        spatial_axes_: tuple[int, int] = ensure_tuple(spatial_axes)
        if len(spatial_axes_) != 2:
            raise ValueError(f"spatial_axes must be 2 numbers to define the plane to rotate, got {spatial_axes_}.")
        self.spatial_axes = spatial_axes_

    def __call__(self, img: torch.Tensor, lazy: bool | None = None) -> torch.Tensor:
        """