code: def forward(self, x):
      x = self.fc(x)
      x = self.bn(x)
      out = torch.mul(
          x[:, : self.output_dim],
          torch.sigmoid(x[:, self.output_dim :]),
      )
      return out
  
imports: import torch
  from torch.nn import Linear, BatchNorm1d, ReLU
  import numpy
  from pytorch_tabnet import sparsemax
label_desc: Use image node_id 2 for calling the GLU_Layer obj's underlying member method code with example usage: obj.forward(x) and returns: out