code: def forward(self, x):
      mean = x.mean(-1, keepdim=True)
      std = x.std(-1, keepdim=True)
      return self.alpha * (x - mean) / (std + self.eps) + self.beta
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  import math
  import copy
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