class_docstr: BERT model ("Bidirectional Encoder Representations from Transformers").
class_docstr_tok: ["BERT","model","(","``","Bidirectional","Encoder","Representations","from","Transformers","''",")","."]
docstr: Gets final hidden layer of encoder.
  
  Returns:
    float Tensor of shape [batch_dim, seq_dim, model_dim] corresponding
    to the final hidden of the transformer encoder.
code: def get_sequence_output(self):
      """Gets final hidden layer of encoder.
  
      Returns:
        float Tensor of shape [batch_dim, seq_dim, model_dim] corresponding
        to the final hidden of the transformer encoder.
      """
      return self.sequence_output
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import copy
  import json
  import math
  import re
  import mesh_tensorflow
  import mesh_tensorflow.transformer.moe
  import six
  import tensorflow.compat.v1
label_desc: Use image node_id 8 for calling the BertModel obj's underlying member method code with example usage: obj.get_sequence_output() and returns: self