only emit memory handler if there are temporaries

src/ngraph/runtime/cpu/external_function.cpp

@@ -214,8 +214,19 @@ using namespace ngraph::runtime::cpu::eigen;
         TU << "    const std::vector<void*>& inputs,\n";
         TU << "    const std::vector<void*>& outputs)\n";
         TU << "{\n";
-
         TU.indent++;
+
+        bool temporaries_used = false;
+        for (shared_ptr<Node> node : current_function->get_ordered_ops())
+        {
+            if (node->liveness_new_list.size() > 0)
+            {
+                temporaries_used = true;
+                break;
+            }
+        }
+        if (temporaries_used)
+        {
             size_t temp_pool_size = pass_manager.get_state().get_temporary_pool_size();
             TU << "// Allocate the memory pool\n";
             TU << "ngraph::runtime::cpu::MemoryHandler memory_handler(" << temp_pool_size << ", "
@@ -233,6 +244,7 @@ using namespace ngraph::runtime::cpu::eigen;
                 }
             }
             TU << "\n";
+        }
 
         TU << "// Define inputs\n";
         size_t arg_index = 0;
@@ -263,9 +275,6 @@ using namespace ngraph::runtime::cpu::eigen;
         }
         TU << "\n";
 
-        TU << "// Define tensor views\n";
-        TU << "\n";
-
         for (shared_ptr<Node> node : current_function->get_ordered_ops())
         {
             auto& n = *node; // Work around a compiler warning (*node inside typeid may have effects