bump Enzyme version in v0.2 (#132)

* bump Enzyme version, update Enzyme interface

* drop testing on Julia 1.6 for v0.2

* fix disable testing on Enzyme

.github/workflows/CI.yml

@@ -25,7 +25,7 @@ jobs:
           - os: macOS-latest
             arch: x86
         include:
-          - version: '1.6'
+          - version: '1.10'
             os: ubuntu-latest
             arch: x64
           - os: ubuntu-latest

Project.toml

@@ -37,7 +37,7 @@ DiffResults = "1"
 Distributions = "0.21, 0.22, 0.23, 0.24, 0.25"
 DistributionsAD = "0.2, 0.3, 0.4, 0.5, 0.6"
 DocStringExtensions = "0.8, 0.9"
-Enzyme = "0.11"
+Enzyme = "0.13"
 LinearAlgebra = "1.6"
 ForwardDiff = "0.10.3"
 Flux = "0.14"

ext/AdvancedVIEnzymeExt.jl

@@ -23,19 +23,22 @@ function AdvancedVI.grad!(
     out::DiffResults.MutableDiffResult,
     args...
 )
-    f(θ) =
-        if (q isa Distributions.Distribution)
-            -vo(alg, AdvancedVI.update(q, θ), model, args...)
-        else
-            -vo(alg, q(θ), model, args...)
-        end
-    # Use `Enzyme.ReverseWithPrimal` once it is released:
-    # https://github.com/EnzymeAD/Enzyme.jl/pull/598
+    f(θ) = if (q isa Distributions.Distribution)
+        -vo(alg, AdvancedVI.update(q, θ), model, args...)
+    else
+        -vo(alg, q(θ), model, args...)
+    end
+
     y = f(θ)
     DiffResults.value!(out, y)
     dy = DiffResults.gradient(out)
     fill!(dy, 0)
-    Enzyme.autodiff(Enzyme.ReverseWithPrimal, f, Enzyme.Active, Enzyme.Duplicated(θ, dy))
+    Enzyme.autodiff(
+        Enzyme.set_runtime_activity(Enzyme.ReverseWithPrimal, true),
+        Enzyme.Const(f),
+        Enzyme.Active,
+        Enzyme.Duplicated(θ, dy)
+    )
     return out
 end
 

test/runtests.jl

@@ -6,8 +6,6 @@ using ReverseDiff: ReverseDiff
 using Tracker: Tracker
 using Zygote: Zygote
 using Enzyme: Enzyme
-Enzyme.API.runtimeActivity!(true);
-Enzyme.API.typeWarning!(false);
 
 using AdvancedVI
 
@@ -22,7 +20,7 @@ include("optimisers.jl")
     AutoReverseDiff(),
     AutoTracker(),
     AutoZygote(),
-    # AutoEnzyme()  # results in incorrect result
+    # AutoEnzyme()
 ]
     target = MvNormal(ones(2))
     logπ(z) = logpdf(target, z)
@@ -42,5 +40,4 @@ include("optimisers.jl")
 
     xs = rand(target, 10)
     @test mean(abs2, logpdf(q, xs) - logpdf(target, xs)) ≤ 0.05
-
 end