Fix expectations about the source of internal/external objects.

PiperOrigin-RevId: 306519238
Change-Id: Idd97a4de4fb0b5a88d905b5e846a76294d2e5951

tensorflow/lite/delegates/gpu/gl/api2.cc

@@ -585,18 +585,26 @@ class InferenceBuilderImpl : public InferenceBuilder {
     std::vector<TensorTieDef> links;
     links.reserve(values.size());
     for (const auto& value : values) {
-      TensorObjectDef def;
+      TensorObjectDef external_def;
       // So far the compiler always forces inputs and outputs to be in the fixed
       // format.
       const auto& shape = value->tensor.shape;
-      def.dimensions = Dimensions(shape.b, shape.h, shape.w, shape.c);
-      def.object_def.data_type = DataType::FLOAT32;
-      def.object_def.data_layout = DataLayout::DHWC4;
-      def.object_def.object_type = gpu::ObjectType::OPENGL_SSBO;
-      def.object_def.user_provided = true;
+      external_def.dimensions = Dimensions(shape.b, shape.h, shape.w, shape.c);
+      external_def.object_def.data_type = DataType::FLOAT32;
+      external_def.object_def.data_layout = DataLayout::DHWC4;
+      external_def.object_def.object_type = gpu::ObjectType::OPENGL_SSBO;
+
+      // Internal object is not expected to be provided by user because: if
+      // external and internal objects have same defs, the external object is
+      // propagated and just used as an internal one; otherwise, if they have
+      // different defs, internal object will be created, because it is not
+      // provided by user.
+      TensorObjectDef internal_def = external_def;
+      external_def.object_def.user_provided = true;
+      internal_def.object_def.user_provided = false;
       AccessType access =
           graph_.IsGraphInput(value->id) ? AccessType::READ : AccessType::WRITE;
-      links.push_back({value->id, access, def, def});
+      links.push_back({value->id, access, external_def, internal_def});
     }
     return links;
   }