Pass one NDM to backend init

Pull Request resolved: #10528

Take external NDM if it exists, otherwise internal.

Note: by default, xnnpack uses the named_data_map. Constants are not stored with the delegated blob anymore.
ghstack-source-id: 281201577

Differential Revision: [D73679710](https://our.internmc.facebook.com/intern/diff/D73679710/)

Author: lucylq

runtime/executor/method.cpp

@@ -805,6 +805,15 @@ Error Method::init(
       pte_data_map = pte_data_map_res.get();
     }
 
+    ET_CHECK_OR_RETURN_ERROR(
+        !(pte_data_map && named_data_map),
+        NotSupported,
+        "NamedDataMap merge not supported; both pte_data_map and named_data_map are non-empty. If you see this error please file an issue at https://github.com/pytorch/executorch/issues");
+
+    if (named_data_map && named_data_map->get_num_keys().get() > 0) {
+      named_data_map = pte_data_map;
+    }
+
     // n_delegate_ counts the number of successfully-initialized delegates for
     // ~Method() to clean up, and is incremented at the bottom of the loop. This
     // makes it safe for errors to return without updating any state.
@@ -816,7 +825,7 @@ Error Method::init(
           method_allocator,
           /*event_tracer=*/event_tracer_,
           /*method_name=*/serialization_plan_->name()->c_str(),
-          /*named_data_map=*/pte_data_map);
+          /*named_data_map=*/named_data_map);
       Error err = BackendDelegate::Init(
           delegate, program_, backend_init_context, &delegates_[i]);
       if (err != Error::Ok) {