class_docstr: Quantized Layer interface
class_docstr_tok: ["Quantized","Layer","interface"]
docstr: function to be called by self.train(mode=True) which modifies modules attributes             according to the model
code: def _train(self):
      """function to be called by self.train(mode=True) which modifies modules attributes\
               according to the model"""
  
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  from enum import Enum, auto
  import logging
  from abc import ABC, abstractmethod
  import torch
  from torch import nn
  from torch.nn import functional
  from nlp_architect.common import Config
label_desc: Use image node_id 9 for calling the QuantizedLayer obj's underlying member method code with example usage: obj._train() without return types