RF bridge, fix aux param handling

returnn/torch/frontend/bridge.py

@@ -121,5 +121,12 @@ def _apply(self, fn):
         # Update the corresponding RF Parameter.
         for name, rf_param in self._rf_module.named_parameters(recurse=False):
             pt_param = getattr(self, name)
-            assert isinstance(pt_param, torch.nn.Parameter)
+            if rf_param.auxiliary:
+                assert isinstance(pt_param, torch.Tensor)  # but not torch.nn.Parameter
+                # See similar logic in torch.nn.Module._apply.
+                pt_param = torch.nn.Parameter(pt_param, pt_param.requires_grad)
+            else:
+                assert isinstance(pt_param, torch.nn.Parameter), (
+                    f"{self}.{name} is not a Parameter" f" but {type(pt_param).__name__}"
+                )
             rf_param.raw_tensor = pt_param