code: def forward(self, x):
      return F.layer_norm(x, x.shape[-1:], self.gamma, self.beta)
  
imports: from functools import partial
  from typing import List, Union
  import torch
  import torch.nn.functional
  from torch import nn, Tensor
  from torch.nn.utils.rnn import pad_sequence
  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: F