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probabilistic reparameterization #1533

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probabilistic reparameterization #1533

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Commits on Feb 15, 2023

  1. acquisition function wrapper (pytorch#1532) 

    Summary:
Pull Request resolved: pytorch#1532

Add a wrapper for modifying inputs/outputs. This is useful for not only probabilistic reparameterization, but will also simplify other integrated AFs (e.g. MCMC) as well as fixed feature AFs and things like prior-guided AFs

Differential Revision: https://internalfb.com/D41629186

fbshipit-source-id: c2d3b339edf44a3167804b095d213b3ba98b5e13
    @sdaulton @facebook-github-bot
    sdaulton authored and facebook-github-bot committed Feb 15, 2023
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  2. Add isinstance_af 

    Summary: Creates a new helper method for checking both if a given AF is an instance of a class or if the given AF wraps a base AF that is an instance of a class

Differential Revision: D43127722

fbshipit-source-id: 9f5f31b991f15f2b32931f1b9625422c7907495d
    @sdaulton @facebook-github-bot
    sdaulton authored and facebook-github-bot committed Feb 15, 2023
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  3. probabilistic reparameterization (pytorch#1533) 

    Summary:
Pull Request resolved: pytorch#1533

Probabilistic reparameterization

Differential Revision: D41629217

fbshipit-source-id: a6067c73ce534daf6f6a180fc49720f305827d58
    @sdaulton @facebook-github-bot
    sdaulton authored and facebook-github-bot committed Feb 15, 2023
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