Method __call__

monai/transforms/spatial/array.py:1467–1482

Args: img: channel first array, must have shape: (num_channels, H[, W, ..., ]), randomize: whether to execute `randomize()` function first, default to True. lazy: a flag to indicate whether this transform should execute lazily or not durin

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

        self._lazy = val

    def __call__(self, img: torch.Tensor, randomize: bool = True, lazy: bool | None = None) -> torch.Tensor:
        """
        Args:
            img: channel first array, must have shape: (num_channels, H[, W, ..., ]),
            randomize: whether to execute `randomize()` function first, default to True.
            lazy: a flag to indicate whether this transform should execute lazily or not
                during this call. Setting this to False or True overrides the ``lazy`` flag set
                during initialization for this call. Defaults to None.
        """
        if randomize:
            self.randomize(None)
        lazy_ = self.lazy if lazy is None else lazy
        out = self.flipper(img, lazy=lazy_) if self._do_transform else img
        out = convert_to_tensor(out, track_meta=get_track_meta())
        self.push_transform(out, replace=True, lazy=lazy_)
        return out

    def inverse(self, data: torch.Tensor) -> torch.Tensor:
        transform = self.pop_transform(data)