diff --git a/Jenkinsfile b/Jenkinsfile
index 9af78a62..f6168e63 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -22,7 +22,7 @@ pipeline {
                     agent {
                         docker {
                             image 'fnlp:torch-1.11'
-                            args '-u root:root -v ${JENKINS_HOME}/html/docs:/docs -v ${JENKINS_HOME}/html/_ci:/ci --gpus all --shm-size 256M'
+                            args '-u root:root -v ${JENKINS_HOME}/html/docs:/docs -v ${JENKINS_HOME}/html/_ci:/ci --gpus all --shm-size 1G'
                         }
                     }
                     steps {
@@ -55,19 +55,19 @@ pipeline {
                         sh 'FASTNLP_BACKEND=paddle pytest ./tests/core/controllers/test_trainer_paddle.py --durations=0 --co'
                     }
                 }
-                stage('Test Jittor') {
-                    agent {
-                        docker {
-                            image 'fnlp:jittor'
-                            args '-u root:root -v ${JENKINS_HOME}/html/docs:/docs -v ${JENKINS_HOME}/html/_ci:/ci --gpus all'
-                        }
-                    }
-                    steps {
-                        // sh 'pip install fitlog'
-                        // sh 'pytest ./tests --html=test_results.html --self-contained-html'
-                        sh 'pytest ./tests --durations=0 -m jittor --co'
-                    }
-                }
+                // stage('Test Jittor') {
+                //     agent {
+                //         docker {
+                //             image 'fnlp:jittor'
+                //             args '-u root:root -v ${JENKINS_HOME}/html/docs:/docs -v ${JENKINS_HOME}/html/_ci:/ci --gpus all'
+                //         }
+                //     }
+                //     steps {
+                //         // sh 'pip install fitlog'
+                //         // sh 'pytest ./tests --html=test_results.html --self-contained-html'
+                //         sh 'pytest ./tests --durations=0 -m jittor --co'
+                //     }
+                // }
             }
         }
     }
diff --git a/tests/core/callbacks/test_load_best_model_callback_torch.py b/tests/core/callbacks/test_load_best_model_callback_torch.py
index 9f346003..07576599 100644
--- a/tests/core/callbacks/test_load_best_model_callback_torch.py
+++ b/tests/core/callbacks/test_load_best_model_callback_torch.py
@@ -73,7 +73,6 @@ def model_and_optimizers(request):
 
 
 @pytest.mark.torch
-@pytest.mark.temp
 @pytest.mark.parametrize("driver,device", [("torch", [0, 1]), ("torch", 1), ("torch", "cpu")])  # ("torch", "cpu"), ("torch", [0, 1]), ("torch", 1)
 @magic_argv_env_context
 def test_load_best_model_callback(
@@ -83,7 +82,6 @@ def test_load_best_model_callback(
 ):
     for save_folder in ['save_models', None]:
         for only_state_dict in [True, False]:
-            logger.error(f"{save_folder}, {only_state_dict}")
             callbacks = [LoadBestModelCallback(monitor='acc', only_state_dict=only_state_dict,
                                                save_folder=save_folder)]
             trainer = Trainer(
diff --git a/tests/core/dataloaders/test_utils.py b/tests/core/dataloaders/test_utils.py
index e5a7cc9e..7e97e97d 100644
--- a/tests/core/dataloaders/test_utils.py
+++ b/tests/core/dataloaders/test_utils.py
@@ -12,14 +12,12 @@ def test_no_args():
     def f(*args, a, b, **kwarg):
         c = 100
         call_kwargs = _match_param(f, demo)
-    with pytest.raises(RuntimeError):
-        f(a=1, b=2)
+    f(a=1, b=2)
 
     def f(a, *args, b, **kwarg):
         c = 100
         call_kwargs = _match_param(f, demo)
-    with pytest.raises(RuntimeError):
-        f(a=1, b=2)
+    f(a=1, b=2)
 
 
 @recover_logger
diff --git a/tests/core/dataloaders/torch_dataloader/test_fdl.py b/tests/core/dataloaders/torch_dataloader/test_fdl.py
index 6d20754a..8ed7441b 100644
--- a/tests/core/dataloaders/torch_dataloader/test_fdl.py
+++ b/tests/core/dataloaders/torch_dataloader/test_fdl.py
@@ -147,13 +147,14 @@ class TestFdl:
         assert 'Parameter:prefetch_factor' in out[0]
 
     @recover_logger
+    @pytest.mark.temp
     def test_version_111(self):
         if parse_version(torch.__version__) <= parse_version('1.7'):
             pytest.skip("Torch version smaller than 1.7")
         logger.set_stdout()
         ds = DataSet({"x": [[1, 2], [2, 3, 4], [4, 5, 6, 7]] * 10, "y": [1, 0, 1] * 10})
         with Capturing() as out:
-            dl = TorchDataLoader(ds, num_workers=2, prefetch_factor=3, shuffle=False)
+            dl = TorchDataLoader(ds, num_workers=0, prefetch_factor=2, generator=torch.Generator(), shuffle=False)
             for idx, batch in enumerate(dl):
                 assert len(batch['x'])==1
                 assert batch['x'][0].tolist() == ds[idx]['x']