diff --git a/examples/distributed_training.py b/examples/distributed_training.py
index 7030a9f4d8..3b726814f6 100644
--- a/examples/distributed_training.py
+++ b/examples/distributed_training.py
@@ -92,6 +92,9 @@ def main():
         val_dataloader=val_dataloader,
         val_cfg=dict(),
         val_evaluator=dict(type=Accuracy),
+        custom_hooks=[
+            dict(type='ProfilerHook', on_trace_ready=dict(type='tb_trace'))
+        ],
         launcher=args.launcher,
     )
     runner.train()
diff --git a/mmengine/logging/message_hub.py b/mmengine/logging/message_hub.py
index c1dda38652..01b283861e 100644
--- a/mmengine/logging/message_hub.py
+++ b/mmengine/logging/message_hub.py
@@ -173,7 +173,6 @@ def update_scalars(self, log_dict: dict, resumed: bool = True) -> None:
         assert isinstance(log_dict, dict), ('`log_dict` must be a dict!, '
                                             f'but got {type(log_dict)}')
         for log_name, log_val in log_dict.items():
-            self._set_resumed_keys(log_name, resumed)
             if isinstance(log_val, dict):
                 assert 'value' in log_val, \
                     f'value must be defined in {log_val}'
@@ -232,7 +231,6 @@ def update_info_dict(self, info_dict: dict, resumed: bool = True) -> None:
         assert isinstance(info_dict, dict), ('`log_dict` must be a dict!, '
                                              f'but got {type(info_dict)}')
         for key, value in info_dict.items():
-            self._set_resumed_keys(key, resumed)
             self.update_info(key, value, resumed=resumed)
 
     def _set_resumed_keys(self, key: str, resumed: bool) -> None: