def make_samplers(self, device: torch.device, dtype: torch.dtype) -> None:
        r"""Create samplers for generating random dropout parameters."""
        drop = _range_bound((0.0, 1.0), "drop", device=device, dtype=dtype)
        self.drop_sampler = UniformDistribution(drop[0], drop[1], validate_args=False)
Create samplers for generating random dropout parameters.
kornia/augmentation/random_generator/_2d/channel_dropout.py