Method __call__

monai/transforms/transform.py:278–300

``data`` is an element which often comes from an iteration over an iterable, such as :py:class:`torch.utils.data.Dataset`. This method should return an updated version of ``data``. To simplify the input validations, most of the transforms assume that - ``dat

(self, data: Any)

    @abstractmethod
    def __call__(self, data: Any):
        """
        ``data`` is an element which often comes from an iteration over an
        iterable, such as :py:class:`torch.utils.data.Dataset`. This method should
        return an updated version of ``data``.
        To simplify the input validations, most of the transforms assume that

        - ``data`` is a Numpy ndarray, PyTorch Tensor or string,
        - the data shape can be:

          #. string data without shape, `LoadImage` transform expects file paths,
          #. most of the pre-/post-processing transforms expect: ``(num_channels, spatial_dim_1[, spatial_dim_2, ...])``,
             except for example: `AddChannel` expects (spatial_dim_1[, spatial_dim_2, ...])

        - the channel dimension is often not omitted even if number of channels is one.

        This method can optionally take additional arguments to help execute transformation operation.

        Raises:
            NotImplementedError: When the subclass does not override this method.

        """
        raise NotImplementedError(f"Subclass {self.__class__.__name__} must implement this method.")


class LazyTransform(Transform, LazyTrait):