docstr: x has shape [batch, seq length]
docstr_tok: ["x","has","shape","[","batch",",","seq","length","]"]
code: def forward(self, x):
      """x has shape [batch, seq length]"""
      hidden_states = self.transformer(x)
      logits = self.lm_head(hidden_states)
  
      return logits
  
imports: import torch
  from pytorch_pretrained_bert import BertTokenizer
  from transfer_nlp.plugins.config import register_plugin
label_desc: Use image node_id 4 for calling the TransformerWithLMHead obj's underlying member method code with example usage: obj.forward(x) and returns: logits