Updates

Author: willtebbutt

Project.toml

@@ -30,17 +30,13 @@ ChainRulesCore = "d360d2e6-b24c-11e9-a2a3-2a2ae2dbcce4"
 EnzymeCore = "f151be2c-9106-41f4-ab19-57ee4f262869"
 ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
 MCMCChains = "c7f686f2-ff18-58e9-bc7b-31028e88f75d"
-Mooncake = "da2b9cff-9c12-43a0-ae48-6db2b0edb7d6"
-ReverseDiff = "37e2e3b7-166d-5795-8a7a-e32c996b4267"
 ZygoteRules = "700de1a5-db45-46bc-99cf-38207098b444"
 
 [extensions]
 DynamicPPLChainRulesCoreExt = ["ChainRulesCore"]
 DynamicPPLEnzymeCoreExt = ["EnzymeCore"]
 DynamicPPLForwardDiffExt = ["ForwardDiff"]
 DynamicPPLMCMCChainsExt = ["MCMCChains"]
-DynamicPPLMooncakeExt = ["Mooncake"]
-DynamicPPLReverseDiffExt = ["ReverseDiff"]
 DynamicPPLZygoteRulesExt = ["ZygoteRules"]
 
 [compat]
@@ -62,10 +58,8 @@ LogDensityProblems = "2"
 LogDensityProblemsAD = "1.7.0"
 MCMCChains = "6"
 MacroTools = "0.5.6"
-Mooncake = "0.4.54"
 OrderedCollections = "1"
 Random = "1.6"
-ReverseDiff = "1"
 Requires = "1"
 Test = "1.6"
 ZygoteRules = "0.2"

ext/DynamicPPLMooncakeExt.jl

@@ -153,3 +153,10 @@ function _make_ad_gradient(ad::ADTypes.AbstractADType, ℓ::LogDensityFunction)
     x = map(identity, getparams(ℓ)) # ensure we concretise the elements of the params
     return LogDensityProblemsAD.ADgradient(ad, ℓ; x)
 end
+
+function LogDensityProblemsAD.ADgradient(ad::ADTypes.AutoMooncake, f::LogDensityFunction)
+    return _make_ad_gradient(ad, f)
+end
+function LogDensityProblemsAD.ADgradient(ad::ADTypes.AutoReverseDiff, f::LogDensityFunction)
+    return _make_ad_gradient(ad, f)
+end