class_docstr: A standard symmetric quantizer.
  
  If the quantization scale is not specified, it uses the absmax scale for the base tensor.
class_docstr_tok: ["A","standard","symmetric","quantizer",".","If","the","quantization","scale","is","not","specified",",","it","uses","the","absmax","scale","for","the","base","tensor","."]
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 Quantizer obj's underlying member method code with example usage: obj.backward(ctx, gO) and returns: gO,  None,  None