code: def forward(self, x):
      x = x.permute(0, 2, 3, 1)
      x = super().forward(x)
      return x.permute(0, 3, 1, 2)
  
imports: import torch
  import torch.nn
  from ...models.attention_processor import Attention
  from ...models.lora import LoRACompatibleConv, LoRACompatibleLinear
  from ...utils import USE_PEFT_BACKEND
label_desc: Use image node_id 2 for calling the WuerstchenLayerNorm obj's underlying member method code with example usage: obj.forward(x) and returns: x