Fix spacing misalignment for fast norm path in LayerNorm modules

Author: rwightman

timm/models/layers/norm.py

@@ -50,7 +50,7 @@ def __init__(self, num_channels, eps=1e-6, affine=True):
 
     def forward(self, x: torch.Tensor) -> torch.Tensor:
         if self._fast_norm:
-           x = fast_layer_norm(x, self.normalized_shape, self.weight, self.bias, self.eps)
+            x = fast_layer_norm(x, self.normalized_shape, self.weight, self.bias, self.eps)
         else:
             x = F.layer_norm(x, self.normalized_shape, self.weight, self.bias, self.eps)
         return x
@@ -65,7 +65,7 @@ def __init__(self, num_channels, eps=1e-6, affine=True):
     def forward(self, x: torch.Tensor) -> torch.Tensor:
         x = x.permute(0, 2, 3, 1)
         if self._fast_norm:
-           x = fast_layer_norm(x, self.normalized_shape, self.weight, self.bias, self.eps)
+            x = fast_layer_norm(x, self.normalized_shape, self.weight, self.bias, self.eps)
         else:
             x = F.layer_norm(x, self.normalized_shape, self.weight, self.bias, self.eps)
         x = x.permute(0, 3, 1, 2)