code: def __init__(
      self,
      d_hidden: int,
      num_vars: int,
      dropout: float = 0.0,
      add_static: bool = False,
  ) -> None:
      super().__init__()
      self.d_hidden = d_hidden
      self.num_vars = num_vars
      self.add_static = add_static
  
      self.weight_network = GatedResidualNetwork(
          d_hidden=self.d_hidden,
          d_input=self.d_hidden * self.num_vars,
          d_output=self.num_vars,
          d_static=self.d_hidden if add_static else None,
          dropout=dropout,
      )
      self.variable_networks = nn.ModuleList(
          [
              GatedResidualNetwork(d_hidden=d_hidden, dropout=dropout)
              for _ in range(num_vars)
          ]
      )
  
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 1 to create a new VariableSelectionNetwork object from inherited base classes: nn with example: obj = VariableSelectionNetwork(d_hidden, num_vars, dropout, add_static)