class_docstr: Quantized Layer interface
class_docstr_tok: ["Quantized","Layer","interface"]
docstr: Implement forward method to be used while training
code: def training_quantized_forward(self, input):
      """Implement forward method to be used while training"""
  
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 3 for calling the QuantizedLayer obj's underlying member method code with example usage: obj.training_quantized_forward(input) without return types