Update davit.py

timm/models/davit.py

@@ -431,7 +431,7 @@ class DaViT(nn.Module):
             layer_offset_id = len(list(itertools.chain(*self.architecture[:block_id])))
 
             block = nn.ModuleList([
-                MySequential(*[
+                nn.ModuleList([
                     ChannelBlock(
                         dim=self.embed_dims[item],
                         num_heads=self.num_heads[item],
@@ -513,12 +513,12 @@ class DaViT(nn.Module):
         for patch_layer, stage in zip(self.patch_embeds, self.main_blocks):
             features[-1], sizes[-1] = patch_layer(features[-1], sizes[-1])
             
-            for layer in enumerate(stage):
-                #for layer in enumerate(block):
-                if self.grad_checkpointing and not torch.jit.is_scripting():
-                    features[-1], sizes[-1] = checkpoint.checkpoint(layer, (features[-1], sizes[-1]))
-                else:
-                    features[-1], sizes[-1] = layer((features[-1], sizes[-1]))
+            for block in enumerate(stage):
+                for layer in enumerate(block):
+                    if self.grad_checkpointing and not torch.jit.is_scripting():
+                        features[-1], sizes[-1] = checkpoint.checkpoint(layer, (features[-1], sizes[-1]))
+                    else:
+                        features[-1], sizes[-1] = layer((features[-1], sizes[-1]))
                 
             
             features.append(features[-1])