Support heteroscedastic perturbations in InputPerturbations #1088
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This pull request was exported from Phabricator. Differential Revision: D34320700 |
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Balandat
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Feb 18, 2022
| Args: | ||
| perturbation_set: An `n_p x d`-dim tensor denoting the perturbations | ||
| to be added to the inputs. | ||
| to be added to the inputs. Alternatively, this can be a callable that |
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Can you update the type of the arg then to be Union[Tensor, Callable[[Tensor], Tensor]?
Balandat
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Feb 18, 2022
…orch#1088) Summary: Pull Request resolved: meta-pytorch#1088 Allows passing in a callable that generates the perturbations for any given `X`, thus supporting heteroscedastic perturbations. Reviewed By: Balandat Differential Revision: D34320700 fbshipit-source-id: f41711e01fa284f517ed620d1859bcd4d91be129
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This pull request was exported from Phabricator. Differential Revision: D34320700 |
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Summary: Allows passing in a callable that generates the perturbations for any given
X, thus supporting heteroscedastic perturbations.Differential Revision: D34320700