Update davit.py

timm/models/davit.py

@@ -457,6 +457,13 @@ class DaViT(nn.Module):
         self.head = ClassifierHead(self.num_features, num_classes, pool_type=global_pool, drop_rate=drop_rate)
         self.apply(self._init_weights)
         
+        
+        
+        if self.features_only == True:
+            self.forward = self.forward_features_full
+        else:
+            self.forward = self.forward_classification
+
     def _init_weights(self, m):
         if isinstance(m, nn.Linear):
             trunc_normal_(m.weight, std=.02)
@@ -574,12 +581,13 @@ class DaViT(nn.Module):
         x = self.forward_features(x)
         x = self.forward_head(x)
         return x
-    
+    '''
     def forward(self, x):
         if self.features_only == True:
             return self.forward_features_full(x)
         else:
             return self.forward_classification(x)
+    '''
 
 def checkpoint_filter_fn(state_dict, model):
     """ Remap MSFT checkpoints -> timm """