class_docstr: Linear layer with quantization aware training capability
class_docstr_tok: ["Linear","layer","with","quantization","aware","training","capability"]
code: def quantized_bias(self, value):
      self._quantized_bias = value
  
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 7 for calling the QuantizedLinear obj's underlying member method code with example usage: obj.quantized_bias(value) without return types