class_docstr: Quantizer defined in:
  Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
  http://openaccess.thecvf.com/content_cvpr_2018/papers/Jacob_Quantization_and_Training_CVPR_2018_paper.pdf
docstr: override `compressor` `step` method, quantization only happens after certain number of steps
docstr_tok: ["override","`","compressor","`","`","step","`","method",",","quantization","only","happens","after","certain","number","of","steps"]
code: def step_with_optimizer(self):
      """
      override `compressor` `step` method, quantization only happens after certain number of steps
      """
      self.bound_model.steps += 1
  
imports: import logging
  import copy
  import torch
  from schema import Schema, And, Or, Optional
  from ..utils.config_validation import CompressorSchema
  from ..compressor import Quantizer, QuantGrad, QuantType
label_desc: Use image node_id 8 for calling the QAT_Quantizer obj's underlying member method code with example usage: obj.step_with_optimizer() without return types