1 files changed, 28 insertions, 22 deletions
diff --git a/eval/src/tests/instruction/universal_dot_product/universal_dot_product_test.cpp b/eval/src/tests/instruction/universal_dot_product/universal_dot_product_test.cpp
index 99809601d9a..6b72dd9ca06 100644
--- a/eval/src/tests/instruction/universal_dot_product/universal_dot_product_test.cpp
+++ b/eval/src/tests/instruction/universal_dot_product/universal_dot_product_test.cpp
@@ -75,6 +75,7 @@ class Optimize
 private:
     struct ctor_tag{};
 public:
+    using optimize_fun_t = InterpretedFunction::Options::optimize_fun_t;
     enum class With { NONE, CUSTOM, PROD, SPECIFIC };
     With with;
     vespalib::string name;
@@ -92,6 +93,29 @@ public:
     static Optimize specific(const vespalib::string &name_in, tensor_function_optimizer optimizer_in) {
         return {With::SPECIFIC, name_in, {}, optimizer_in, {}};
     }
+    optimize_fun_t make_optimize_fun() const {
+        switch (with) {
+        case Optimize::With::NONE: return do_not_optimize_tensor_function;
+        case Optimize::With::PROD: return optimize_tensor_function;
+        case Optimize::With::CUSTOM:
+            return [options=options](const ValueBuilderFactory &factory, const TensorFunction &function, Stash &stash)
+                ->const TensorFunction &
+                   {
+                       return optimize_tensor_function_impl(factory, function, stash, options);
+                   };
+        case Optimize::With::SPECIFIC:
+            return [optimizer=optimizer](const ValueBuilderFactory &, const TensorFunction &function, Stash &stash)
+                ->const TensorFunction &
+                   {
+                       size_t count = 0;
+                       const auto &result = apply_tensor_function_optimizer(function, optimizer, stash,
+                                                                            [&count](const auto &)noexcept{ ++count; });
+                       EXPECT_EQ(count, 1);
+                       return result;
+                   };
+        }
+        abort();
+    }
     ~Optimize();
 };
 Optimize::~Optimize() = default;
@@ -201,29 +225,11 @@ void benchmark(const vespalib::string &expr, std::vector<Optimize> list) {
         }
         NodeTypes node_types(*fun, param_types);
         ASSERT_FALSE(node_types.get_type(fun->root()).is_error());
-        Stash stash;
-        const TensorFunction &plain_fun = make_tensor_function(prod_factory, fun->root(), node_types, stash);
-        const TensorFunction *optimized = nullptr;
-        switch (optimize.with) {
-        case Optimize::With::NONE:
-            optimized = std::addressof(plain_fun);
-            break;
-        case Optimize::With::PROD:
-            optimized = std::addressof(optimize_tensor_function(prod_factory, plain_fun, stash));
-            break;
-        case Optimize::With::CUSTOM:
-            optimized = std::addressof(optimize_tensor_function(prod_factory, plain_fun, stash, optimize.options));
-            break;
-        case Optimize::With::SPECIFIC:
-            size_t count = 0;
-            optimized = std::addressof(apply_tensor_function_optimizer(plain_fun, optimize.optimizer, stash,
-                                                                       [&count](const auto &)noexcept{ ++count; }));
-            ASSERT_EQ(count, 1);
-            break;
-        }
-        ASSERT_NE(optimized, nullptr);
         CTFMetaData ctf_meta;
-        InterpretedFunction ifun(prod_factory, *optimized, &ctf_meta);
+        auto ifun = InterpretedFunction::opts(prod_factory)
+            .optimize(optimize.make_optimize_fun())
+            .meta(&ctf_meta)
+            .make(fun->root(), node_types);
         InterpretedFunction::ProfiledContext pctx(ifun);
         ASSERT_EQ(ctf_meta.steps.size(), ifun.program_size());
         std::vector<duration> prev_time(ctf_meta.steps.size(), duration::zero());