diff --git a/fastdeploy/worker/worker_process.py b/fastdeploy/worker/worker_process.py
index 9fdafd156..c37403f29 100644
--- a/fastdeploy/worker/worker_process.py
+++ b/fastdeploy/worker/worker_process.py
@@ -421,7 +421,8 @@ class PaddleDisWorkerProc:
             if self.fd_config.load_config.dynamic_load_weight:
                 if self.model_weights_status.value[0] != ModelWeightsStatus.NORMAL:
                     self.model_weights_signal[0] = int(self.model_weights_status.value[0])
-                    self.model_weights_signal[0] = self._broadcast_model_weights_signal(src=0, group=None)
+                    if self.ranks > 1:
+                        self.model_weights_signal[0] = self._broadcast_model_weights_signal(src=0, group=None)
 
             req_dicts = None
             self.worker_healthy_live_signal.value[tp_rank % self.max_chips_per_node] = int(time.time())
@@ -441,7 +442,8 @@ class PaddleDisWorkerProc:
             self._tp_barrier_wait() if tp_size > 1 else None
 
             if self.fd_config.load_config.dynamic_load_weight:
-                paddle.distributed.barrier()
+                if self.ranks > 1:
+                    paddle.distributed.barrier()
                 if self.model_weights_signal[0] != ModelWeightsStatus.NORMAL:
                     logger.info(
                         f"Rank: {self.local_rank} to update or clear parameters, signal is {self.model_weights_signal[0]}, [-1:clear, 1:update]"