6ee3f1b0d2a6ebadc9e2f664354594342ab0805d,kornia/augmentation/augmentation.py,RandomPerspective,__init__,#RandomPerspective#Any#Any#Any#Any#Any#Any#Any#,344

Before Change

        if interpolation is not None:
            import warnings
            warnings.warn("interpolation is deprecated. Please use resample instead.", category=DeprecationWarning)
            self.resample = Resample.get(interpolation)
        self.resample = Resample.get(resample)
        self.align_corners = align_corners
        self.flags: Dict[str, torch.Tensor] = dict(
            interpolation=torch.tensor(self.resample.value),

After Change

        super(RandomErasing, self).__init__(p=p, return_transform=return_transform, same_on_batch=same_on_batch,
                                            keepdim=keepdim)
        self.scale = cast(torch.Tensor, scale) if isinstance(scale, torch.Tensor) else torch.tensor(scale)
        self.ratio = cast(torch.Tensor, ratio) if isinstance(ratio, torch.Tensor) else torch.tensor(ratio)
        self.value: float = value

    def __repr__(self) -> str:
        repr = f"scale={self.scale}, ratio={self.ratio}, value={self.value}"

Instances