remove invalid assertion in nlp.jl (#2271)

Closes #2115
jump-dev · Jul 11, 2020 · a62cc35 · a62cc35
1 parent 9aa2bf6
commit a62cc35
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Showing 2 changed files with 11 additions and 3 deletions.
diff --git a/src/nlp.jl b/src/nlp.jl
@@ -279,9 +279,6 @@ function _FunctionStorage(nd::Vector{NodeData}, const_values, num_variables, col
         edgelist = compute_hessian_sparsity(nd, adj, linearity, coloring_storage, subexpression_edgelist, subexpression_variables)
         hess_I, hess_J, rinfo = Coloring.hessian_color_preprocess(edgelist, num_variables, coloring_storage)
         seed_matrix = Coloring.seed_matrix(rinfo)
-        if linearity[1] == NONLINEAR
-            @assert length(hess_I) > 0
-        end
     else
         hess_I = hess_J = Int[]
         rinfo = Coloring.RecoveryInfo()

diff --git a/test/nlp.jl b/test/nlp.jl
@@ -285,6 +285,17 @@
         @test V == [0.0, 0.0, 1.0]
     end
 
+    @testset "Constant ifelse (Issue #2115)" begin
+        model = Model()
+        @variable(model, x)
+        @NLobjective(model, Min, ifelse(x >= 1, 1, 0))
+
+        d = JuMP.NLPEvaluator(model)
+        MOI.initialize(d, [:Hess])
+        hessian_sparsity = MOI.hessian_lagrangian_structure(d)
+        @test length(hessian_sparsity) == 0
+    end
+
     @testset "Hessians and Hess-vec" begin
         m = Model()
         @variable(m, a)