diff --git a/mmdeploy/codebase/mmcls/models/backbones/shufflenet_v2.py b/mmdeploy/codebase/mmcls/models/backbones/shufflenet_v2.py
index 2d26318af..80c7a4f20 100644
--- a/mmdeploy/codebase/mmcls/models/backbones/shufflenet_v2.py
+++ b/mmdeploy/codebase/mmcls/models/backbones/shufflenet_v2.py
@@ -1,6 +1,5 @@
 # Copyright (c) OpenMMLab. All rights reserved.
 import torch
-from mmcls.models.utils import channel_shuffle
 
 from mmdeploy.core import FUNCTION_REWRITER
 from mmdeploy.utils import Backend
@@ -29,6 +28,7 @@ def shufflenetv2_backbone__forward__ncnn(ctx, self, x):
         out (Tensor): A feature map output from InvertedResidual. The tensor
         shape (N, Cout, H, W).
     """
+    from mmcls.models.utils import channel_shuffle
     if self.stride > 1:
         out = torch.cat((self.branch1(x), self.branch2(x)), dim=1)
     else:
diff --git a/mmdeploy/codebase/mmcls/models/backbones/vision_transformer.py b/mmdeploy/codebase/mmcls/models/backbones/vision_transformer.py
index 21d99aa27..a31853912 100644
--- a/mmdeploy/codebase/mmcls/models/backbones/vision_transformer.py
+++ b/mmdeploy/codebase/mmcls/models/backbones/vision_transformer.py
@@ -1,6 +1,5 @@
 # Copyright (c) OpenMMLab. All rights reserved.
 import torch
-from mmcls.models.utils import resize_pos_embed
 
 from mmdeploy.core import FUNCTION_REWRITER
 from mmdeploy.utils import Backend
@@ -25,6 +24,7 @@ def visiontransformer__forward__ncnn(ctx, self, x):
         out (Tensor): A feature map output from InvertedResidual. The tensor
         shape (N, Cout, H, W).
     """
+    from mmcls.models.utils import resize_pos_embed
     B = x.shape[0]
     x, patch_resolution = self.patch_embed(x)