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Inherit 'torch.distributions.exp_family.ExponentialFamily' in MultivariateNormal Class #69430

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nonconvexopt
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Fixes #69077
Made a PR to test CI.

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pytorch-probot bot commented Dec 5, 2021

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@nonconvexopt
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@neerajprad Can you review this PR?

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neerajprad commented Dec 7, 2021

@nonconvexopt: Sorry for a late reply. From what I understand, the ExponentialFamily inheritance is only useful if we want to automatically get an implementation of the entropy by implementing the abstract methods - _natural_params, _log_normalizer and _mean_carrier_measure. This class already has an explicit entropy method implemented, so there's no advantage to inheriting from ExponentialFamily (we are not implementing the other methods as well). There are other distributions like Binomial which similarly don't inherit from ExponentialFamily for the same reason.

Edit: Outside of that, I suppose there is value in having the natural parameters available to query. If so, we should implement the other methods too if possible and also _from_natural_params method that you will see the other distributions implement.

@zou3519 zou3519 added the triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module label Dec 7, 2021
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nonconvexopt commented Dec 8, 2021

Thank you for your detailed explanation. There are not much advantages of inheriting ExponentialFamily. I just thought that since MVN is exponential family distribution, it might be sensible to in herit ExponentialFamily class.

I hope to take a analysis on the codes and try to fit the requirements for ExponentialFamily in this PR later. Please consider it to merge it if it is acceptable.

Thank you for your detailed explanation. I guess there are not much advantages of inheriting ExponentialFamily. I just thought that since multivariate normal is an exponential family distribution, it might be sensible to inherit ExponentialFamily class.

I hope to take a analysis on the codes and try to fit the requirements for ExponentialFamily in this PR later. Please consider it to merge it if it is acceptable.

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nonconvexopt commented Dec 20, 2021

Why only the pr/pytorch-linux-bionic-rocm4.3.1-py3.6 keep fails? Not sure.

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nonconvexopt commented Dec 21, 2021

@neerajprad This is a trivial change and I think you can merge it if it is beneficial to PyTorch.
Unfortunately, If you don't think so, I will close here and work on other PR.

@nonconvexopt nonconvexopt deleted the inherit_ExponentialFamily_in_MultivariateNormal branch January 10, 2022 13:29
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Why the torch.distributions.MultivariateNormal did not inherited torch.distributions.ExponentialFamily?
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