Method __init__

monai/transforms/utility/array.py:402–413

(
        self,
        dtype: torch.dtype | None = None,
        device: torch.device | str | None = None,
        wrap_sequence: bool = True,
        track_meta: bool | None = None,
    )

    backend = [TransformBackends.TORCH]

    def __init__(
        self,
        dtype: torch.dtype | None = None,
        device: torch.device | str | None = None,
        wrap_sequence: bool = True,
        track_meta: bool | None = None,
    ) -> None:
        super().__init__()
        self.dtype = dtype
        self.device = device
        self.wrap_sequence = wrap_sequence
        self.track_meta = get_track_meta() if track_meta is None else bool(track_meta)

    def __call__(self, img: NdarrayOrTensor):
        """