diff --git a/timm/models/twins.py b/timm/models/twins.py
index 3b15ed93..ff973ad8 100644
--- a/timm/models/twins.py
+++ b/timm/models/twins.py
@@ -291,10 +291,10 @@ class Twins(nn.Module):
             patch_size = 2
 
         self.task = task
+        self.F4=F4
+        self.extra_norm = extra_norm
+        self.strides = strides
         if self.task == 'seg':
-            self.F4=F4
-            self.extra_norm = extra_norm
-            self.strides = strides
             if self.extra_norm:
                 self.norm_list = nn.ModuleList()
                 for dim in embed_dims:
@@ -363,7 +363,6 @@ class Twins(nn.Module):
             m.bias.data.zero_()
 
     def forward_features(self, x):
-
         if self.task == 'cls':
             B = x.shape[0]
             for i, (embed, drop, blocks, pos_blk) in enumerate(
@@ -404,7 +403,6 @@ class Twins(nn.Module):
             if self.F4:
                 x = x[3:4] 
             return x
-        
 
 
 def _create_twins(variant, pretrained=False, **kwargs):
@@ -466,4 +464,4 @@ def twins_svt_large(pretrained=False, **kwargs):
     model_kwargs = dict(
         patch_size=4, embed_dims=[128, 256, 512, 1024], num_heads=[4, 8, 16, 32], mlp_ratios=[4, 4, 4, 4],
         depths=[2, 2, 18, 2], wss=[7, 7, 7, 7], sr_ratios=[8, 4, 2, 1], **kwargs)
-    return _create_twins('twins_svt_large', pretrained=pretrained, **model_kwargs)
\ No newline at end of file
+    return _create_twins('twins_svt_large', pretrained=pretrained, **model_kwargs)