diff --git a/transformer_engine/plugin/core/backends/vendor/hygon/hygon.py b/transformer_engine/plugin/core/backends/vendor/hygon/hygon.py
index 52e8dd187a..69ca8608ed 100644
--- a/transformer_engine/plugin/core/backends/vendor/hygon/hygon.py
+++ b/transformer_engine/plugin/core/backends/vendor/hygon/hygon.py
@@ -37,7 +37,16 @@ def _get_sys_extension() -> str:
         hygon_spec = importlib.util.find_spec("transformer_engine_hygon")
         if hygon_spec is None:
             return False
-        hygon_path = Path(hygon_spec.origin).parent
+        if hygon_spec.origin is not None:
+            hygon_path = Path(hygon_spec.origin).parent
+        elif hygon_spec.submodule_search_locations:
+            hygon_path = Path(hygon_spec.submodule_search_locations[0])
+        else:
+            print(
+                "[ERROR _load_hygon_libs] cannot determine package path, origin is None and"
+                " submodule_search_locations is empty"
+            )
+            return False
         for file_path in hygon_path.iterdir():
             if file_path.name.startswith(common_prefix) and file_path.suffix == ext:
                 common_files.append(file_path)
@@ -1628,8 +1637,11 @@ def multi_tensor_scale_tensor(
         tensor_lists: List[List[torch.Tensor]],
         scale: torch.Tensor,
     ) -> None:
+        # transform_engine_hygon does not support multi_tensor_scale_tensor
+        # (from upstream Nvidia TE v2.14). Use multi_tensor_scale as a workaround.
         tex = self._get_tex()
-        return tex.multi_tensor_scale_tensor(chunk_size, noop_flag, tensor_lists, scale)
+        scale_value = scale.item()
+        return tex.multi_tensor_scale(chunk_size, noop_flag, tensor_lists, scale_value)
 
     def multi_tensor_l2norm(
         self,