code: def __init__(self, hidden_size, output_size):
      super().__init__()
      self.lin = nn.Linear(hidden_size, output_size * 2)
  
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 GLU object from inherited base classes: nn with example: obj = GLU(hidden_size, output_size)