code: def forward(self, x):
      var = torch.var(x, dim=1, unbiased=False, keepdim=True)
      mean = torch.mean(x, dim=1, keepdim=True)
      return (x - mean) / (var + self.eps).sqrt() * self.g + self.b
  
imports: import torch
  from torch import nn, einsum
  import torch.nn.functional
  from einops import rearrange, repeat
  from einops.layers.torch import Rearrange
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