code: def __init__(self, dim):
      super().__init__()
      self.gamma = nn.Parameter(torch.ones(dim))
      self.register_buffer("beta", torch.zeros(dim))
  
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 1 to create a new LayerNorm object from inherited base classes: nn with example: obj = LayerNorm(dim)