code: def forward(self, x: torch.Tensor) -> torch.Tensor:
      value, gate = torch.chunk(x, chunks=2, dim=self.dim)
      if self.nonlinear:
          value = torch.tanh(value)
      gate = torch.sigmoid(gate)
      return gate * value
  
imports: from typing import List, Optional, Tuple
  import torch
  import torch.nn
  from gluonts.core.component import validated
  from gluonts.torch.modules.feature import FeatureEmbedder
label_desc: Use image node_id 2 for calling the GatedLinearUnit obj's underlying member method code with example usage: obj.forward(x) and returns: unknown