code: def dequantize(self, x, cmax, float_out=False):
      x = x.float()
      cmax = cmax.float()
      dequant_scale = cmax / 127
      x = x * dequant_scale
      x = x.clamp(-cmax, cmax)
      if not float_out:
          x = x.to(self.dtype)
      return x
  
imports: import random
  import time
  from collections import OrderedDict
  import numpy
  import torch
label_desc: Use image node_id 11 for calling the TestDecorator obj's underlying member method code with example usage: obj.dequantize(x, cmax, float_out) and returns: x