class_docstr: Extraction of a single output embedding.
class_docstr_tok: ["Extraction","of","a","single","output","embedding","."]
code: def __init__(self, config):
      super().__init__()
      self.dense = nn.Linear(config.hidden_size, config.hidden_size)
      self.activation = nn.Tanh()
  
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 1 to create a new BertPooler object from inherited base classes: nn with example: obj = BertPooler(config)