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probabilistic reparameterization tutorial #1534

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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: 51b84765e58c17cda63bc582bfe30d0ca13955b5
    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: 13b9d54b05de09d2b2ed86406a921a38fcedab13
    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: https://internalfb.com/D41629217
    
    fbshipit-source-id: f0719b974a8b9de4a1fe8fb62a9c73e9a1fbb551
    sdaulton authored and facebook-github-bot committed Feb 15, 2023
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  4. probabilistic reparameterization tutorial (pytorch#1534)

    Summary:
    Pull Request resolved: pytorch#1534
    
    see title
    
    Differential Revision: D41629553
    
    fbshipit-source-id: 522f1fc245c268b4de33524c8a7addd1a8bf15b7
    sdaulton authored and facebook-github-bot committed Feb 15, 2023
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