class_docstr: Special designed layernorm for the seasonal part
class_docstr_tok: ["Special","designed","layernorm","for","the","seasonal","part"]
code: def __init__(self, channels):
      super(LayerNorm, self).__init__()
      self.layernorm = nn.LayerNorm(channels)
  
imports: import numpy
  from typing import Optional
  import torch
  import torch.nn
  import torch.nn.functional
  from ..common._modules import DataEmbedding
  from ..common._base_windows import BaseWindows
  from ..losses.pytorch import MAE
label_desc: Use image node_id 1 to create a new LayerNorm object from inherited base classes: nn with example: obj = LayerNorm(channels)