Merge pull request #110 from SciML/DIv6

DifferentiationInterface v6: Constant and arguments orders changes

Author: Vaibhavdixit02

Project.toml

@@ -1,7 +1,7 @@
 name = "OptimizationBase"
 uuid = "bca83a33-5cc9-4baa-983d-23429ab6bcbb"
 authors = ["Vaibhav Dixit <[email protected]> and contributors"]
-version = "2.0.4"
+version = "2.1.0"
 
 [deps]
 ADTypes = "47edcb42-4c32-4615-8424-f2b9edc5f35b"
@@ -38,11 +38,11 @@ OptimizationReverseDiffExt = "ReverseDiff"
 OptimizationZygoteExt = "Zygote"
 
 [compat]
-ADTypes = "1.5"
+ADTypes = "1.9"
 ArrayInterface = "7.6"
-DifferentiationInterface = "0.5"
+DifferentiationInterface = "0.6.1"
 DocStringExtensions = "0.9"
-Enzyme = "0.12.12"
+Enzyme = "0.13.2"
 FastClosures = "0.3"
 FiniteDiff = "2.12"
 ForwardDiff = "0.10.26"

ext/OptimizationEnzymeExt.jl

@@ -41,7 +41,7 @@ end
 function hv_f2_alloc(x, f, p)
     dx = Enzyme.make_zero(x)
     Enzyme.autodiff_deferred(Enzyme.Reverse,
-        firstapply,
+        Const(firstapply),
         Active,
         Const(f),
         Enzyme.Duplicated(x, dx),
@@ -58,7 +58,8 @@ function inner_cons(x, fcons::Function, p::Union{SciMLBase.NullParameters, Nothi
 end
 
 function cons_f2(x, dx, fcons, p, num_cons, i)
-    Enzyme.autodiff_deferred(Enzyme.Reverse, inner_cons, Active, Enzyme.Duplicated(x, dx),
+    Enzyme.autodiff_deferred(
+        Enzyme.Reverse, Const(inner_cons), Active, Enzyme.Duplicated(x, dx),
         Const(fcons), Const(p), Const(num_cons), Const(i))
     return nothing
 end
@@ -71,7 +72,7 @@ end
 
 function cons_f2_oop(x, dx, fcons, p, i)
     Enzyme.autodiff_deferred(
-        Enzyme.Reverse, inner_cons_oop, Active, Enzyme.Duplicated(x, dx),
+        Enzyme.Reverse, Const(inner_cons_oop), Active, Enzyme.Duplicated(x, dx),
         Const(fcons), Const(p), Const(i))
     return nothing
 end
@@ -83,7 +84,8 @@ function lagrangian(x, _f::Function, cons::Function, p, λ, σ = one(eltype(x)))
 end
 
 function lag_grad(x, dx, lagrangian::Function, _f::Function, cons::Function, p, σ, λ)
-    Enzyme.autodiff_deferred(Enzyme.Reverse, lagrangian, Active, Enzyme.Duplicated(x, dx),
+    Enzyme.autodiff_deferred(
+        Enzyme.Reverse, Const(lagrangian), Active, Enzyme.Duplicated(x, dx),
         Const(_f), Const(cons), Const(p), Const(λ), Const(σ))
     return nothing
 end
@@ -187,7 +189,7 @@ function OptimizationBase.instantiate_function(f::OptimizationFunction{true}, x,
     if hv == true && f.hv === nothing
         function hv!(H, θ, v, p = p)
             H .= Enzyme.autodiff(
-                Enzyme.Forward, hv_f2_alloc, DuplicatedNoNeed, Duplicated(θ, v),
+                Enzyme.Forward, hv_f2_alloc, Duplicated(θ, v),
                 Const(f.f), Const(p)
             )[1]
         end
@@ -531,7 +533,7 @@ function OptimizationBase.instantiate_function(f::OptimizationFunction{false}, x
             for i in eachindex(Jaccache)
                 Enzyme.make_zero!(Jaccache[i])
             end
-            y, Jaccache = Enzyme.autodiff(Enzyme.Forward, f.cons, Duplicated,
+            Jaccache, y = Enzyme.autodiff(Enzyme.ForwardWithPrimal, f.cons, Duplicated,
                 BatchDuplicated(θ, seeds), Const(p))
             if size(y, 1) == 1
                 return reduce(vcat, Jaccache)