botorch/models/kernels/downsampling.py [73:106]:
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        if offset_prior is not None:
            self.register_prior(
                "offset_prior",
                offset_prior,
                lambda m: m.offset,
                lambda m, v: m._set_offset(v),
            )
        self.register_constraint("raw_offset", offset_constraint)

    @property
    def power(self) -> Tensor:
        return self.raw_power_constraint.transform(self.raw_power)

    @power.setter
    def power(self, value: Tensor) -> None:
        self._set_power(value)

    def _set_power(self, value: Tensor) -> None:
        if not torch.is_tensor(value):
            value = torch.as_tensor(value).to(self.raw_power)
        self.initialize(raw_power=self.raw_power_constraint.inverse_transform(value))

    @property
    def offset(self) -> Tensor:
        return self.raw_offset_constraint.transform(self.raw_offset)

    @offset.setter
    def offset(self, value: Tensor) -> None:
        self._set_offset(value)

    def _set_offset(self, value: Tensor) -> None:
        if not torch.is_tensor(value):
            value = torch.as_tensor(value).to(self.raw_offset)
        self.initialize(raw_offset=self.raw_offset_constraint.inverse_transform(value))
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botorch/models/kernels/exponential_decay.py [78:112]:
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        if offset_prior is not None:
            self.register_prior(
                "offset_prior",
                offset_prior,
                lambda m: m.offset,
                lambda m, v: m._set_offset(v),
            )

        self.register_constraint("raw_offset", offset_constraint)

    @property
    def power(self) -> Tensor:
        return self.raw_power_constraint.transform(self.raw_power)

    @power.setter
    def power(self, value: Tensor) -> None:
        self._set_power(value)

    def _set_power(self, value: Tensor) -> None:
        if not torch.is_tensor(value):
            value = torch.as_tensor(value).to(self.raw_power)
        self.initialize(raw_power=self.raw_power_constraint.inverse_transform(value))

    @property
    def offset(self) -> Tensor:
        return self.raw_offset_constraint.transform(self.raw_offset)

    @offset.setter
    def offset(self, value: Tensor) -> None:
        self._set_offset(value)

    def _set_offset(self, value: Tensor) -> None:
        if not torch.is_tensor(value):
            value = torch.as_tensor(value).to(self.raw_offset)
        self.initialize(raw_offset=self.raw_offset_constraint.inverse_transform(value))
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