diff --git a/tests/core/drivers/paddle_driver/test_single_device.py b/tests/core/drivers/paddle_driver/test_single_device.py
index e5e68e58..6726069e 100644
--- a/tests/core/drivers/paddle_driver/test_single_device.py
+++ b/tests/core/drivers/paddle_driver/test_single_device.py
@@ -635,7 +635,6 @@ def test_save_and_load_model(only_state_dict):
         driver2.load_model(path, only_state_dict)
 
         for batch in dataloader:
-            print("?")
             batch = driver1.move_data_to_device(batch)
             res1 = driver1.model.evaluate_step(**batch)
             res2 = driver2.model.evaluate_step(**batch)
diff --git a/tests/core/drivers/torch_driver/test_fsdp.py b/tests/core/drivers/torch_driver/test_fsdp.py
index df8f9e91..0046251a 100644
--- a/tests/core/drivers/torch_driver/test_fsdp.py
+++ b/tests/core/drivers/torch_driver/test_fsdp.py
@@ -6,7 +6,6 @@ import re
 
 import pytest
 from fastNLP.core.controllers.trainer import Trainer
-from torchmetrics import Accuracy
 from fastNLP.core.callbacks import CheckpointCallback
 from tests.helpers.models.torch_model import TorchNormalModel_Classification_1
 from tests.helpers.datasets.torch_data import TorchNormalDataset_Classification, TorchArgMaxDataset
@@ -18,6 +17,7 @@ if _NEED_IMPORT_TORCH:
     import torch.distributed as dist
     from torch.optim import SGD
     from torch.utils.data import DataLoader
+    from torchmetrics import Accuracy
 
 
 @dataclass