code: def quantize(self, x, cmax):
      x, cmax = x.float(), cmax.float()
      qmask = self.get_cmask(x, cmax)
      dequant_scale = cmax / 127
      x = x / dequant_scale
      x = (x + 0.5).floor()
      x = x.clamp(-127, 127).to(dtype=torch.int8)
      return x, qmask
  
imports: import random
  import time
  from collections import OrderedDict
  import numpy
  import torch
label_desc: Use image node_id 10 for calling the TestDecorator obj's underlying member method code with example usage: obj.quantize(x, cmax) and returns: x,  qmask