class_docstr: Gated Linear Unit
class_docstr_tok: ["Gated","Linear","Unit"]
code: def init_weights(self):
      for n, p in self.named_parameters():
          if "bias" in n:
              torch.nn.init.zeros_(p)
          elif "fc" in n:
              torch.nn.init.xavier_uniform_(p)
  
imports: import math
  from typing import Dict, List, Tuple, Union
  import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 2 for calling the GatedLinearUnit obj's underlying member method code with example usage: obj.init_weights() without return types