Method randomize

monai/transforms/regularization/array.py:50–62

Sometimes you need may to apply the same transform to different tensors. The idea is to get a sample and then apply it with apply() as often as needed. You need to call this method everytime you apply the transform to a new batch.

(self, data=None)

        raise NotImplementedError()

    def randomize(self, data=None) -> None:
        """
        Sometimes you need may to apply the same transform to different tensors.
        The idea is to get a sample and then apply it with apply() as often
        as needed. You need to call this method everytime you apply the transform to a new
        batch.
        """
        super().randomize(None)
        self._params = (
            torch.from_numpy(self.R.beta(self.alpha, self.alpha, self.batch_size)).type(torch.float32),
            self.R.permutation(self.batch_size),
            [torch.from_numpy(self.R.randint(0, d, size=(1,))) for d in data.shape[2:]] if data is not None else [],
        )


class MixUp(Mixer):