docstr: initialize weights - nn.MultiheadAttention is already initalized by PyTorch (xavier) 
docstr_tok: ["initialize","weights","-","nn.MultiheadAttention","is","already","initalized","by","PyTorch","(","xavier",")"]
code: def init_weights(self, module):
      """initialize weights - nn.MultiheadAttention is already initalized by PyTorch (xavier)"""
      if isinstance(
          module,
          (torch.nn.Linear, torch.nn.Embedding, torch.nn.LayerNorm),
      ):
          module.weight.data.normal_(
              mean=0.0, std=self.initializer_range
          )
      if (
          isinstance(module, (torch.nn.Linear, torch.nn.LayerNorm))
          and module.bias is not None
      ):
          module.bias.data.zero_()
  
imports: import torch
  from pytorch_pretrained_bert import BertTokenizer
  from transfer_nlp.plugins.config import register_plugin
label_desc: Use image node_id 3 for calling the TransformerWithLMHead obj's underlying member method code with example usage: obj.init_weights(module) without return types