ci: test on 1.12

Author: avik-pal

.buildkite/testing_luxtestutils.yml

@@ -22,7 +22,7 @@ steps:
         matrix:
           setup:
             julia:
-              - "1.11"
+              - "1.12"
 
 env:
   SECRET_CODECOV_TOKEN: "jQ0BMTQgyZx7QGyU0Q2Ec7qB9mtE2q/tDu0FsfxvEG7/zOAGvXkyXrzIFFOQxvDoFcP+K2+hYZKMxicYdNqzr5wcxu505aNGN2GM3wyegAr+hO6q12bCFYx6qXzU9FLCCdeqINqn9gUSSOlGtWNFrbAlrTyz/D4Yo66TqBDzvaLL63FMnhCLaXW/zJt3hNuEAJaPY2O6Ze1rX2WZ3Y+i+s3uQ8aLImtoCJhPe8CRx+OhuYiTzGhynFfGntZ0738/1RN4gNM0S/hTC4gLE7XMVBanJpGh32rFaiDwW4zAyXKBrDkL3QA3MS1RvLTJxGJ085S16hCk0C4ddAhZCvIM9Q==;U2FsdGVkX1+bXdFeKMs5G79catOCyby2n07A2fg0FjVAvrjQLZ0yfvDS4paJiFikLkodho0khz2YALKb2Y0K6w=="

.github/workflows/CI_LuxTestUtils.yml

@@ -19,5 +19,5 @@ jobs:
   test:
     uses: ./.github/workflows/CommonCI.yml
     with:
-      julia_version: "1.11"
+      julia_version: "1.12"
       project: "lib/LuxTestUtils"

test/enzyme_tests.jl

@@ -127,7 +127,7 @@ end
             ps, st = dev(Lux.setup(rng, model))
             x = aType(x)
 
-            if LuxTestUtils.ENZYME_TESTING_ENABLED
+            if LuxTestUtils.ENZYME_TESTING_ENABLED[]
                 test_enzyme_gradients(model, x, ps, st)
             else
                 @test_broken false
@@ -154,7 +154,7 @@ end
             st = dev(st)
             x = aType(x)
 
-            if LuxTestUtils.ENZYME_TESTING_ENABLED
+            if LuxTestUtils.ENZYME_TESTING_ENABLED[]
                 test_enzyme_gradients(model, x, ps, st)
             else
                 @test_broken false

test/helpers/loss_tests.jl

@@ -22,7 +22,7 @@
     ∂x1 = ForwardDiff.derivative(Base.Fix2(LuxOps.xlogy, 3.0), 2.0)
     ∂y1 = ForwardDiff.derivative(Base.Fix1(LuxOps.xlogy, 2.0), 3.0)
     ∂x2, ∂y2 = Zygote.gradient(LuxOps.xlogy, 2.0, 3.0)
-    if LuxTestUtils.ENZYME_TESTING_ENABLED
+    if LuxTestUtils.ENZYME_TESTING_ENABLED[]
         ((∂x3, ∂y3),) = Enzyme.autodiff(
             Enzyme.Reverse, LuxOps.xlogy, Active, Active(2.0), Active(3.0)
         )
@@ -38,7 +38,7 @@
     @test @inferred(LuxOps.xlogy(0, 1)) isa Number
     @jet LuxOps.xlogy(2, 3)
 
-    if LuxTestUtils.ENZYME_TESTING_ENABLED
+    if LuxTestUtils.ENZYME_TESTING_ENABLED[]
         @test @inferred(
             Enzyme.autodiff(Enzyme.Reverse, LuxOps.xlogy, Active, Active(2.0), Active(3.0))
         ) isa Any

test/helpers/training_tests.jl

@@ -80,7 +80,7 @@ end
             ongpu &&
                 (ad isa AutoReverseDiff || ad isa AutoEnzyme || ad isa AutoMooncake) &&
                 continue
-            !LuxTestUtils.ENZYME_TESTING_ENABLED && ad isa AutoEnzyme && continue
+            !LuxTestUtils.ENZYME_TESTING_ENABLED[] && ad isa AutoEnzyme && continue
 
             ps, st = dev(Lux.setup(rng, model))
             tstate = Training.TrainState(model, ps, st, opt)

test/layers/basic_tests.jl

@@ -183,7 +183,7 @@ end
 @testitem "Dense StaticArrays" setup = [SharedTestSetup] tags = [:core_layers] begin
     using StaticArrays, Enzyme, ForwardDiff, ComponentArrays
 
-    if LuxTestUtils.ENZYME_TESTING_ENABLED
+    if LuxTestUtils.ENZYME_TESTING_ENABLED[]
         N = 8
         d = Lux.Dense(N => N)
         ps = (; weight=randn(SMatrix{N,N,Float64}), bias=randn(SVector{N,Float64}))