Enzyme 2nd order fix

.buildkite/pipeline.yml

@@ -11,18 +11,18 @@ steps:
       julia --color=yes --project=test -e 'include("test/gpu.jl")'
     timeout_in_minutes: 30
 
-  # - label: "CPUs -- Enzyme.jl"
-  #   plugins:
-  #     - JuliaCI/julia#v1:
-  #         version: "1.10"
-  #   agents:
-  #     queue: "juliaecosystem"
-  #     os: "linux"
-  #     arch: "x86_64"
-  #   command: |
-  #     julia --color=yes --project=test -e 'using Pkg; Pkg.add("Enzyme"); Pkg.develop(path="."); Pkg.instantiate()'
-  #     julia --color=yes --project=test -e 'include("test/enzyme.jl")'
-  #   timeout_in_minutes: 30
+  - label: "CPUs -- Enzyme.jl"
+    plugins:
+      - JuliaCI/julia#v1:
+          version: "1.10"
+    agents:
+      queue: "juliaecosystem"
+      os: "linux"
+      arch: "x86_64"
+    command: |
+      julia --color=yes --project=test -e 'using Pkg; Pkg.add("Enzyme"); Pkg.develop(path="."); Pkg.instantiate()'
+      julia --color=yes --project=test -e 'include("test/enzyme.jl")'
+    timeout_in_minutes: 30
 
   - label: "CPUs -- Zygote.jl"
     plugins:

src/ADNLPModels.jl

@@ -207,7 +207,6 @@ Return the lagrangian function `ℓ(x) = obj_weight * f(x) + c(x)ᵀy`.
 function get_lag(nlp::AbstractADNLPModel, b::ADBackend, obj_weight::Real)
   return ℓ(x; obj_weight = obj_weight) = obj_weight * nlp.f(x)
 end
-
 function get_lag(nlp::AbstractADNLPModel, b::ADBackend, obj_weight::Real, y::AbstractVector)
   if nlp.meta.nnln == 0
     return get_lag(nlp, b, obj_weight)