Update nlpmodelstest.jl

Author: amontoison

test/nlp/nlpmodelstest.jl

@@ -1,6 +1,5 @@
-# @testset "Checking NLPModelsTest (NLP) tests with $backend" for backend in
-#                                                                 keys(ADNLPModels.predefined_backend)
-backend = :enzyme_backend
+@testset "Checking NLPModelsTest (NLP) tests with $backend" for backend in
+                                                                keys(ADNLPModels.predefined_backend)
   @testset "Checking NLPModelsTest tests on problem $problem" for problem in
                                                                   NLPModelsTest.nlp_problems
     nlp_from_T = eval(Meta.parse(lowercase(problem) * "_autodiff"))
@@ -13,17 +12,17 @@ backend = :enzyme_backend
     @testset "Check Consistency" begin
       consistent_nlps(nlps, exclude = [], linear_api = true, reimplemented = ["jtprod"])
     end
-    # @testset "Check dimensions" begin
-    #   check_nlp_dimensions(nlp_ad, exclude = [], linear_api = true)
-    # end
-    # @testset "Check multiple precision" begin
-    #   multiple_precision_nlp(nlp_from_T, exclude = [], linear_api = true)
-    # end
-    # @testset "Check view subarray" begin
-    #   view_subarray_nlp(nlp_ad, exclude = [])
-    # end
-    # @testset "Check coordinate memory" begin
-    #   coord_memory_nlp(nlp_ad, exclude = [], linear_api = true)
-    # end
+    @testset "Check dimensions" begin
+      check_nlp_dimensions(nlp_ad, exclude = [], linear_api = true)
+    end
+    @testset "Check multiple precision" begin
+      multiple_precision_nlp(nlp_from_T, exclude = [], linear_api = true)
+    end
+    @testset "Check view subarray" begin
+      view_subarray_nlp(nlp_ad, exclude = [])
+    end
+    @testset "Check coordinate memory" begin
+      coord_memory_nlp(nlp_ad, exclude = [], linear_api = true)
+    end
   end
 end