code: def test_clip_norm(self):
      optimizer = Adamax(clipnorm=1)
      grad = [np.array([100.0, 100.0])]
      clipped_grad = optimizer._clip_gradients(grad)
      self.assertAllClose(clipped_grad[0], [2**0.5 / 2, 2**0.5 / 2])
  
file_path: keras/keras/optimizers/adamax_test.py
imports: import numpy
  from keras import backend
  from keras import ops
  from keras import testing
  from keras.optimizers.adamax import Adamax
label_desc: Use image node_id 5 for calling the AdamaxTest obj's underlying member method code with example usage: obj.test_clip_norm() without return types