code: def test_clip_norm(self):
      with self.strategy.scope():
          optimizer = SGD(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/backend/tensorflow/optimizer_distribute_test.py
imports: import numpy
  import pytest
  import tensorflow
  from tensorflow.python.eager import context
  from keras import backend
  from keras import testing
  from keras.optimizers.sgd import SGD
label_desc: Use image node_id 6 for calling the OptimizerDistributeTest obj's underlying member method code with example usage: obj.test_clip_norm() without return types