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Override MOI.Nonlinear.model for ArrayDiff.Mode #95

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Override MOI.Nonlinear.model for ArrayDiff.Mode #95

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a6b2d9c
Override MOI.Nonlinear.model for ArrayDiff.Mode
blegat Aug 12, 2026
d2a7741
MOI
blegat Aug 12, 2026
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7 changes: 7 additions & 0 deletions .github/workflows/ci.yml
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Expand Up @@ -25,6 +25,13 @@ jobs:
version: ${{ matrix.version }}
arch: ${{ matrix.arch }}
- uses: julia-actions/cache@v3
- name: MOI
shell: julia --project=@. {0}
run: |
using Pkg
Pkg.add([
PackageSpec(name="MathOptInterface", rev="bl/linearity"),
])
- uses: julia-actions/julia-buildpkg@v1
- uses: julia-actions/julia-runtest@v1
with:
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6 changes: 6 additions & 0 deletions src/ArrayDiff.jl
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Expand Up @@ -86,6 +86,12 @@ function from_onnx end

model(::Mode{S}) where {S} = Model{eltype(S)}()

# Hook so that solvers using `MOI.Nonlinear.model(backend)` (for example,
# NLopt and NLPModelsJuMP) receive an ArrayDiff model for an ArrayDiff mode.
# ArrayDiff's model natively parses scalar and array nonlinear functions, but
# not the `MOI.VectorNonlinearOracle` set, hence no oracle layer either.
Nonlinear.model(mode::Mode) = model(mode)

# Extend MOI.Nonlinear.set_objective so that solvers calling
# MOI.Nonlinear.set_objective(arraydiff_model, snf) dispatch here.
function Nonlinear.set_objective(model::Model, obj::MOI.ScalarNonlinearFunction)
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