code: def __init__(self, output_size, hidden_size, eps):
      super().__init__()
      if output_size and output_size == 1:
          self.ln = nn.Identity()
      else:
          self.ln = LayerNorm(
              output_size if output_size else hidden_size, eps=eps
          )
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from torch import Tensor
  from torch.nn import LayerNorm
  import logging
  import warnings
  from typing import Tuple, Optional
  from ..losses.pytorch import MAE
  from ..common._base_windows import BaseWindows
label_desc: Use image node_id 1 to create a new MaybeLayerNorm object from inherited base classes: nn with example: obj = MaybeLayerNorm(output_size, hidden_size, eps)