diff --git a/Jenkinsfile b/Jenkinsfile
index 4ef51291..9af78a62 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -15,7 +15,7 @@ pipeline {
                         }
                     }
                     steps {
-                        sh 'pytest ./tests --durations=0 -m "not torch and not paddle and not paddledist and not jittor and not torchpaddle and not torchjittor"'
+                        sh 'pytest ./tests --durations=0 -m "not (torch or paddle or paddledist or jittor or torchpaddle or torchjittor)"'
                     }
                 }
                 stage('Test Torch-1.11') {
diff --git a/tests/core/drivers/paddle_driver/test_fleet.py b/tests/core/drivers/paddle_driver/test_fleet.py
index d3bffb9f..ad680dcb 100644
--- a/tests/core/drivers/paddle_driver/test_fleet.py
+++ b/tests/core/drivers/paddle_driver/test_fleet.py
@@ -629,6 +629,7 @@ class TestSaveLoad:
                 self.driver1.save_checkpoint(Path(path), save_states, dataloader, only_state_dict, should_save_model=True)
             else:
                 self.driver1.save_checkpoint(Path(path), save_states, dataloader, only_state_dict, should_save_model=True, input_spec=[paddle.ones((16, 10))])
+            dist.barrier()
             # 加载
             # 更改 batch_size
             dataloader = DataLoader(
@@ -644,8 +645,10 @@ class TestSaveLoad:
                 rank=self.driver2.global_rank,
                 pad=True
             )
+            dist.barrier()
             load_states = self.driver2.load_checkpoint(Path(path), dataloader, only_state_dict, should_load_model=True)
             replaced_loader = load_states.pop("dataloader")
+            dist.barrier()
             # 1. 检查 optimizer 的状态
             # TODO optimizer 的 state_dict 总是为空
 
diff --git a/tests/core/drivers/torch_driver/test_ddp.py b/tests/core/drivers/torch_driver/test_ddp.py
index cb7ed68c..a7c4705a 100644
--- a/tests/core/drivers/torch_driver/test_ddp.py
+++ b/tests/core/drivers/torch_driver/test_ddp.py
@@ -649,6 +649,7 @@ class TestSaveLoad:
             sampler_states = dataloader.batch_sampler.state_dict()
             save_states = {"num_consumed_batches": num_consumed_batches}
             driver1.save_checkpoint(Path(path), save_states, dataloader, only_state_dict, should_save_model=True)
+            dist.barrier()
             # 加载
             # 更改 batch_size
             dataloader = dataloader_with_bucketedbatchsampler(
@@ -663,8 +664,12 @@ class TestSaveLoad:
                 rank=driver2.global_rank,
                 pad=True
             )
+            dist.barrier()
+            print("========load=======", driver1.global_rank, driver2.global_rank)
             load_states = driver2.load_checkpoint(Path(path), dataloader, only_state_dict, should_load_model=True)
+            dist.barrier()
             replaced_loader = load_states.pop("dataloader")
+            
             # 1. 检查 optimizer 的状态
             # TODO optimizer 的 state_dict 总是为空
 
@@ -708,8 +713,10 @@ class TestSaveLoad:
             assert len(left_x_batches | already_seen_x_set) == len(self.dataset) / num_replicas
             assert len(left_y_batches) + len(already_seen_y_set) == len(self.dataset) / num_replicas
             assert len(left_y_batches | already_seen_y_set) == len(self.dataset) / num_replicas
+            dist.barrier()
         finally:
             rank_zero_rm(path)
+            print("=======delete======")
 
         if dist.is_initialized():
             dist.destroy_process_group()