code: def check_clipping(self, backend_configs, rate):
      target = self.target
      norm = self.norm
      assert len(backend_configs) == len(list(target.params()))
      devices = [bc.device for bc in backend_configs]
  
      threshold = norm * rate
  
      expects = []
      for param, device in zip(target.params(), devices):
          expects.append(param.array - param.grad * min(1, rate))
          param.to_device(device)
  
      opt = optimizers.SGD(lr=1)
      opt.setup(target)
      opt.add_hook(optimizer_hooks.GradientClipping(threshold))
      opt.update()
  
      for expect, param in zip(expects, target.params()):
          testing.assert_allclose(expect, param.array)
  
file_path: chainer/tests/chainer_tests/optimizer_hooks_tests/test_gradient_clipping.py
imports: import math
  import unittest
  import numpy
  import chainer
  from chainer import optimizer_hooks
  from chainer import optimizers
  from chainer import testing
  import utils
label_desc: Use image node_id 2 for calling the TestGradientClipping obj's underlying member method code with example usage: obj.check_clipping(backend_configs, rate) without return types