diff --git a/codes/models/switched_conv/switched_conv_hard_routing.py b/codes/models/switched_conv/switched_conv_hard_routing.py
index 73e9ad09..2b2c73b3 100644
--- a/codes/models/switched_conv/switched_conv_hard_routing.py
+++ b/codes/models/switched_conv/switched_conv_hard_routing.py
@@ -149,15 +149,16 @@ class SwitchNorm(nn.Module):
         # Compute the norm factor.
         if self.accumulator_filled > 0:
             norm = torch.mean(self.accumulator, dim=0)
+            norm = norm * x.shape[1] / norm.sum()  # The resulting norm should sum up to the total breadth: we are just re-weighting here.
         else:
             norm = torch.ones(self.group_size, device=self.accumulator.device)
 
+        norm = norm.view(1,-1)
         while len(x.shape) < len(norm.shape):
             norm = norm.unsqueeze(-1)
         x = x / norm
 
-        # Need to re-normalize x so that the groups dimension sum to 1, just like when it was fed in.
-        return x / x.sum(dim=1, keepdim=True)
+        return x
 
 
 class HardRoutingGate(nn.Module):