code: def forward(self, x):
      return torch.mul(
          self.linear_left(x), torch.sigmoid(self.linear_right(x))
      )
  
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 2 for calling the GLU obj's underlying member method code with example usage: obj.forward(x) and returns: torch