code: def forward(self, hidden_states, input_tensor):
      dense_output = self.dense(hidden_states)
      dropout_output = self.dropout(dense_output)
      output = self.layer_norm(dropout_output + input_tensor)
      return output
  
file_path: allennlp/allennlp/modules/transformer/output_layer.py
imports: import torch
  from allennlp.common import FromParams
  from allennlp.modules.transformer.transformer_module import TransformerModule
  from allennlp.modules.transformer.layer_norm import LayerNorm
label_desc: Use image node_id 3 for calling the OutputLayer obj's underlying member method code with example usage: obj.forward(hidden_states, input_tensor) and returns: output