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@mhauru mhauru commented Sep 12, 2024

Makes log density functions out of a bunch of Turing.jl models and checks that Enzyme can differentiate them, both in Forward and Reverse modes.

Related issues that should probably be sorted before merging this:

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Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 69.92%. Comparing base (037dfed) to head (6154f90).
Report is 61 commits behind head on main.

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@@            Coverage Diff             @@
##             main    #1813      +/-   ##
==========================================
+ Coverage   67.50%   69.92%   +2.41%     
==========================================
  Files          31       32       +1     
  Lines       12668    13645     +977     
==========================================
+ Hits         8552     9541     +989     
+ Misses       4116     4104      -12     

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wsmoses commented Sep 12, 2024 via email

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mhauru commented Sep 12, 2024

I changed the dependency from Turing to DynamicPPL and Distributions since we don't do any sampling. I pinnned those two and their major depencencies: AbstractMCMC, AbstractPPL, Bijectors, LogDensityProblems, LogDensityProblemsAD. Can pin all the dependencies if you'd like (BangBang, OrderedCollections, etc.), but I wonder if in that case it would make more sense to just commit the Manifest.toml.

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wsmoses commented Sep 30, 2025

@penelopeysm can you help get this integrated with the modern CI workflow for integration tests?

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3 participants