class_docstr: Layer normalization component.
class_docstr_tok: ["Layer","normalization","component","."]
code: def forward(self, x):
      u = x.mean(-1, keepdim=True)
      s = (x - u).pow(2).mean(-1, keepdim=True)
      x = (x - u) / torch.sqrt(s + self.variance_epsilon)
      return self.weight * x + self.bias
  
file_path: towhee/towhee/models/clip4clip/until_module.py
imports: import torch
  import torch.nn.functional
  from torch import nn
label_desc: Use image node_id 2 for calling the LayerNorm obj's underlying member method code with example usage: obj.forward(x) and returns: unknown