Update davit.py

timm/models/davit.py

@@ -26,7 +26,7 @@ import torch.utils.checkpoint as checkpoint
 
 from .features import FeatureInfo
 from .fx_features import register_notrace_function, register_notrace_module
-from .helpers import build_model_with_cfg, pretrained_cfg_for_features
+from .helpers import build_model_with_cfg, checkpoint_seq, pretrained_cfg_for_features
 from .layers import DropPath, to_2tuple, trunc_normal_, SelectAdaptivePool2d, ClassifierHead, Mlp
 from .pretrained import generate_default_cfgs
 from .registry import register_model
@@ -421,7 +421,7 @@ class DaViTStage(nn.Module):
             
             stage_blocks.append(nn.ModuleList(dual_attention_block))
             
-        self.blocks = nn.ModuleList(*stage_blocks)
+        self.blocks = nn.ModuleList(stage_blocks)
         
     def forward(self, x : Tensor, size: Tuple[int, int]):
         x, size = self.patch_embed(x, size)
@@ -516,6 +516,7 @@ class DaViT(nn.Module):
         
         self.stages = SequentialWithSize(*stages)
         
+        
         self.norms = norm_layer(self.num_features)
         self.head = ClassifierHead(self.num_features, num_classes, pool_type=global_pool, drop_rate=drop_rate)
         self.apply(self._init_weights)