class_docstr: Fully-connected layer, part 2.
class_docstr_tok: ["Fully-connected","layer",",","part","2","."]
code: def forward(self, hidden_states, input_tensor):
      hidden_states = self.dense(hidden_states)
      hidden_states = self.dropout(hidden_states)
      hidden_states = self.layer_norm(hidden_states + input_tensor)
      return hidden_states
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from __future__ import unicode_literals
  import logging
  import math
  import torch
  from torch import nn
  from towhee.models.layers.activations import swish, gelu
label_desc: Use image node_id 2 for calling the BertOutput obj's underlying member method code with example usage: obj.forward(hidden_states, input_tensor) and returns: hidden_states