class_docstr: A standard affine quantizer.
class_docstr_tok: ["A","standard","affine","quantizer","."]
code: def backward(ctx, gO):
      # For autograd, quantization is a no-op
      return gO, None, None
  
imports: from dataclasses import dataclass
  from typing import Optional
  import torch
  from torch.autograd import Function
  from torch.utils import _pytree
label_desc: Use image node_id 2 for calling the AffineQuantizer obj's underlying member method code with example usage: obj.backward(ctx, gO) and returns: gO,  None,  None