CI Trigger

ArnoStrouwen · Jan 21, 2024 · 8e87e8a · 8e87e8a
1 parent 29e466e
commit 8e87e8a
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Showing 7 changed files with 14 additions and 236 deletions.
diff --git a/.buildkite/pipeline.yml b/.buildkite/pipeline.yml
diff --git a/.github/workflows/CI.yml b/.github/workflows/CI.yml
@@ -12,20 +12,12 @@ on:
       - 'docs/**'
 jobs:
   test:
-    runs-on: ubuntu-latest
+    runs-on: windows-latest
     strategy:
       fail-fast: false
       matrix:
         group:
           - Core1
-          - Core2
-          - Core3
-          - Core4
-          - Core5
-          - Core6
-          - SDE1
-          - SDE2
-          - SDE3
         version:
           - '1.10'
     steps:

diff --git a/.github/workflows/Downstream.yml b/.github/workflows/Downstream.yml
diff --git a/.github/workflows/FormatCheck.yml b/.github/workflows/FormatCheck.yml
diff --git a/.github/workflows/Invalidations.yml b/.github/workflows/Invalidations.yml
diff --git a/test/adjoint_shapes.jl b/test/adjoint_shapes.jl
@@ -1,6 +1,6 @@
 using OrdinaryDiffEq, SciMLSensitivity, Zygote
 
-tspan = (0.0, 1.0)
+#= tspan = (0.0, 1.0)
 X = randn(3, 4)
 p = randn(3, 4)
 f(u, p, t) = u .* p
@@ -10,7 +10,7 @@ Zygote.gradient(p -> sum(solve(prob_ube, Midpoint(), u0 = X, p = p)), p)
 
 prob_ube = ODEProblem{true}(f, X, tspan, p)
 Zygote.gradient(p -> sum(solve(prob_ube, Midpoint(), u0 = X, p = p)), p)
-
+ =#
 function aug_dynamics!(dz, z, K, t)
     x = @view z[2:end]
     u = -K * x
@@ -20,14 +20,15 @@ end
 
 policy_params = ones(2, 2)
 z0 = zeros(3)
-fwd_sol = solve(ODEProblem(aug_dynamics!, z0, (0.0, 1.0), policy_params),
+#= fwd_sol = solve(ODEProblem(aug_dynamics!, z0, (0.0, 1.0), policy_params),
     Tsit5(), u0 = z0, p = policy_params)
-
+ =#
+test_prob = ODEProblem(aug_dynamics!, z0, (0.0, 1.0), policy_params)
 sensealg = InterpolatingAdjoint()
 sensealg = SciMLSensitivity.setvjp(sensealg,
-    SciMLSensitivity.inplace_vjp(fwd_sol.prob, fwd_sol.prob.u0, fwd_sol.prob.p, true))
-
-solve(ODEAdjointProblem(fwd_sol, sensealg, Tsit5(),
+    SciMLSensitivity.inplace_vjp(test_prob, test_prob.u0, test_prob.p, true))
+@test 1 == 1
+#= solve(ODEAdjointProblem(fwd_sol, sensealg, Tsit5(),
         [1.0], (out, x, p, t, i) -> (out .= 1)), Tsit5())
 
 A = ones(2, 2)
@@ -49,3 +50,4 @@ fwd_sol = solve(ODEProblem(aug_dynamics!, z0, (0.0, 1.0), policy_params), u0 = z
 
 solve(ODEAdjointProblem(fwd_sol, sensealg, Tsit5(), [1.0],
         (out, x, p, t, i) -> (out .= 1)), Tsit5())
+ =#
diff --git a/test/runtests.jl b/test/runtests.jl
@@ -11,10 +11,10 @@ end
 
 @time begin
     if GROUP == "All" || GROUP == "Core1" || GROUP == "Downstream"
-        @time @safetestset "Forward Sensitivity" include("forward.jl")
-        @time @safetestset "Sparse Adjoint Sensitivity" include("sparse_adjoint.jl")
+#=         @time @safetestset "Forward Sensitivity" include("forward.jl")
+        @time @safetestset "Sparse Adjoint Sensitivity" include("sparse_adjoint.jl") =#
         @time @safetestset "Adjoint Shapes" include("adjoint_shapes.jl")
-        @time @safetestset "Second Order Sensitivity" include("second_order.jl")
+#=         @time @safetestset "Second Order Sensitivity" include("second_order.jl")
         @time @safetestset "Concrete Solve Derivatives" include("concrete_solve_derivatives.jl")
         @time @safetestset "Branching Derivatives" include("branching_derivatives.jl")
         @time @safetestset "Derivative Shapes" include("derivative_shapes.jl")
@@ -25,7 +25,7 @@ end
         @time @safetestset "Forward Remake" include("forward_remake.jl")
         @time @safetestset "Prob Kwargs" include("prob_kwargs.jl")
         @time @safetestset "DiscreteProblem Adjoints" include("discrete.jl")
-        @time @safetestset "Time Type Mixing Adjoints" include("time_type_mixing.jl")
+        @time @safetestset "Time Type Mixing Adjoints" include("time_type_mixing.jl") =#
     end
 
     if GROUP == "All" || GROUP == "Core2"