Add missing .mean() back
diff --git a/extensions-builtin/Lora/network.py b/extensions-builtin/Lora/network.py
index 183f8bd7c13..473ba29e816 100644
--- a/extensions-builtin/Lora/network.py
+++ b/extensions-builtin/Lora/network.py
@@ -173,7 +173,7 @@ def apply_weight_decompose(self, updown, orig_weight):
         orig_weight = orig_weight.to(updown)
         merged_scale1 = updown + orig_weight
         dora_merged = (
-            merged_scale1 / merged_scale1(dim=self.dora_mean_dim, keepdim=True) * self.dora_scale
+            merged_scale1 / merged_scale1.mean(dim=self.dora_mean_dim, keepdim=True) * self.dora_scale
         )
         final_updown = dora_merged - orig_weight
         return final_updown

## Description
as title

## Checklist:

- [x] I have read [contributing wiki page](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Contributing)
- [x] I have performed a self-review of my own code
- [x] My code follows the [style guidelines](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Contributing#code-style)
- [x] My code passes [tests](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Tests)
