class_docstr: Linear layer with quantization aware training capability
class_docstr_tok: ["Linear","layer","with","quantization","aware","training","capability"]
code: def _get_output_scale(self, output=None):
      return self._get_activation_scale(output, self.output_thresh)
  
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 QuantizedLinear obj's underlying member method code with example usage: obj._get_output_scale(output) and returns: self