Update metaformers.py

timm/models/metaformers.py

@@ -347,18 +347,16 @@ class LayerNormGeneral(nn.Module):
         self.normalized_dim = normalized_dim
         self.use_scale = scale
         self.use_bias = bias
-        self.weight = nn.Parameter(torch.ones(affine_shape)) if scale else None
-        self.bias = nn.Parameter(torch.zeros(affine_shape)) if bias else None
+        self.weight = nn.Parameter(torch.ones(affine_shape)) if scale else torch.ones(affine_shape)
+        self.bias = nn.Parameter(torch.zeros(affine_shape)) if bias else torch.zeros(affine_shape)
         self.eps = eps
 
     def forward(self, x):
         c = x - x.mean(self.normalized_dim, keepdim=True)
         s = c.pow(2).mean(self.normalized_dim, keepdim=True)
         x = c / torch.sqrt(s + self.eps)
-        if self.use_scale:
-            x = x * self.weight
-        if self.use_bias:
-            x = x + self.bias
+        x = x * self.weight
+        x = x + self.bias
         return x