code: def __init__(self, input_channel, output_channel):
      super(GLU, self).__init__()
      self.linear_left = nn.Linear(input_channel, output_channel)
      self.linear_right = nn.Linear(input_channel, output_channel)
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from ..losses.pytorch import MAE
  from ..common._base_multivariate import BaseMultivariate
label_desc: Use image node_id 1 to create a new GLU object from inherited base classes: nn with example: obj = GLU(input_channel, output_channel)