Add Const activity for trailing data arguments

Enzyme v0.12 now requires that all inputs are marked with an activity, and so these need to manually be marked const.

Author: ChrisRackauckas

ext/OptimizationEnzymeExt.jl

@@ -28,7 +28,7 @@ function OptimizationBase.instantiate_function(f::OptimizationFunction{true}, x,
                     Const(f.f),
                     Enzyme.Duplicated(θ, res),
                     Const(p),
-                    args...)
+                    Const.(args)...)
             end
         end
     else
@@ -43,7 +43,7 @@ function OptimizationBase.instantiate_function(f::OptimizationFunction{true}, x,
                 Const(f),
                 Enzyme.Duplicated(θ, bθ),
                 Const(p),
-                args...),
+                Const.(args)...),
             return nothing
         end
         function hess(res, θ, args...)
@@ -77,13 +77,13 @@ function OptimizationBase.instantiate_function(f::OptimizationFunction{true}, x,
                 f,
                 Enzyme.Duplicated(x, dx),
                 Const(p),
-                args...)
+                Const.(args)...)
             return dx
         end
         hv = function (H, θ, v, args...)
             H .= Enzyme.autodiff(Enzyme.Forward, f2, DuplicatedNoNeed, Duplicated(θ, v),
                 Const(_f), Const(f.f), Const(p),
-                args...)[1]
+                Const.(args)...)[1]
         end
     else
         hv = f.hv
@@ -168,7 +168,7 @@ function OptimizationBase.instantiate_function(f::OptimizationFunction{true},
                 Const(f.f),
                 Enzyme.Duplicated(θ, res),
                 Const(p),
-                args...)
+                Const.(args)...)
         end
     else
         grad = (G, θ, args...) -> f.grad(G, θ, p, args...)
@@ -179,7 +179,7 @@ function OptimizationBase.instantiate_function(f::OptimizationFunction{true},
             Enzyme.autodiff_deferred(Enzyme.Reverse, Const(firstapply), Active, Const(f),
                 Enzyme.Duplicated(θ, bθ),
                 Const(p),
-                args...)
+                Const.(args)...)
             return nothing
         end
         function hess(res, θ, args...)
@@ -194,7 +194,7 @@ function OptimizationBase.instantiate_function(f::OptimizationFunction{true},
                 Enzyme.BatchDuplicated(bθ, vdbθ),
                 Const(f.f),
                 Const(p),
-                args...)
+                Const.(args)...)
 
             for i in eachindex(θ)
                 res[i, :] .= vdbθ[i]
@@ -211,13 +211,13 @@ function OptimizationBase.instantiate_function(f::OptimizationFunction{true},
                 f,
                 Enzyme.Duplicated(x, dx),
                 Const(p),
-                args...)
+                Const.(args)...)
             return dx
         end
         hv = function (H, θ, v, args...)
             H .= Enzyme.autodiff(Enzyme.Forward, f2, DuplicatedNoNeed, Duplicated(θ, v),
                 Const(f.f), Const(p),
-                args...)[1]
+                Const.(args)...)[1]
         end
     else
         hv = f.hv
@@ -285,7 +285,7 @@ function OptimizationBase.instantiate_function(f::OptimizationFunction{false}, x
                     Const(f.f),
                     Enzyme.Duplicated(θ, res),
                     Const(p),
-                    args...)
+                    Const.(args)...)
                 return res
             end
         end
@@ -301,7 +301,7 @@ function OptimizationBase.instantiate_function(f::OptimizationFunction{false}, x
                 Const(f),
                 Enzyme.Duplicated(θ, bθ),
                 Const(p),
-                args...),
+                Const.(args)...),
             return nothing
         end
         function hess(θ, args...)
@@ -316,7 +316,7 @@ function OptimizationBase.instantiate_function(f::OptimizationFunction{false}, x
                 Enzyme.BatchDuplicated(bθ, vdbθ),
                 Const(f.f),
                 Const(p),
-                args...)
+                Const.(args)...)
 
             reduce(vcat, [reshape(vdbθ[i], (1, length(vdbθ[i]))) for i in eachindex(θ)])
         end
@@ -334,13 +334,13 @@ function OptimizationBase.instantiate_function(f::OptimizationFunction{false}, x
                 f,
                 Enzyme.Duplicated(x, dx),
                 Const(p),
-                args...)
+                Const.(args)...)
             return dx
         end
         hv = function (θ, v, args...)
             Enzyme.autodiff(Enzyme.Forward, f2, DuplicatedNoNeed, Duplicated(θ, v),
                 Const(_f), Const(f.f), Const(p),
-                args...)[1]
+                Const.(args)...)[1]
         end
     else
         hv = f.hv
@@ -425,7 +425,7 @@ function OptimizationBase.instantiate_function(f::OptimizationFunction{false},
                     Const(f.f),
                     Enzyme.Duplicated(θ, res),
                     Const(p),
-                    args...)
+                    Const.(args)...)
                 return res
             end
         end
@@ -441,7 +441,7 @@ function OptimizationBase.instantiate_function(f::OptimizationFunction{false},
                 Const(f),
                 Enzyme.Duplicated(θ, bθ),
                 Const(p),
-                args...),
+                Const.(args)...),
             return nothing
         end
         function hess(θ, args...)
@@ -456,7 +456,7 @@ function OptimizationBase.instantiate_function(f::OptimizationFunction{false},
                 Enzyme.BatchDuplicated(bθ, vdbθ),
                 Const(f.f),
                 Const(p),
-                args...)
+                Const.(args)...)
 
             reduce(vcat, [reshape(vdbθ[i], (1, length(vdbθ[i]))) for i in eachindex(θ)])
         end
@@ -474,13 +474,13 @@ function OptimizationBase.instantiate_function(f::OptimizationFunction{false},
                 f,
                 Enzyme.Duplicated(x, dx),
                 Const(p),
-                args...)
+                Const.(args)...)
             return dx
         end
         hv = function (θ, v, args...)
             Enzyme.autodiff(Enzyme.Forward, f2, DuplicatedNoNeed, Duplicated(θ, v),
                 Const(_f), Const(f.f), Const(p),
-                args...)[1]
+                Const.(args)...)[1]
         end
     else
         hv = f.hv