code: def __call__(self, rule, param):
      if param.name == "b":
          return
      p, g = param.array, param.grad
      if p is None or g is None:
          return
      with cuda.get_device_from_array(p) as dev:
          if int(dev) == -1:
              g += self.rate * p
          else:
              kernel = cuda.elementwise(
                  "T p, T decay",
                  "T g",
                  "g += decay * p",
                  "weight_decay",
              )
              kernel(p, self.rate, g)
  
imports: from chainer import cuda
label_desc: Use image node_id 2 for calling the NonbiasWeightDecay obj's underlying member method code with example usage: obj.__call__(rule, param) without return types