code: def get_cmask(self, x, cmax):
      x_cmask = (x <= -cmax).to(dtype=torch.uint8) * 4 + (x >= cmax).to(
          dtype=torch.uint8
      ) * 2
      return x_cmask
  
imports: import random
  import time
  from collections import OrderedDict
  import numpy
  import torch
label_desc: Use image node_id 9 for calling the TestDecorator obj's underlying member method code with example usage: obj.get_cmask(x, cmax) and returns: x_cmask