code: def test_correctness_with_golden(self):
      with self.strategy.scope():
          optimizer = SGD(nesterov=True)
  
          x = backend.Variable(np.ones([10]))
          grads = np.arange(0.1, 1.1, 0.1)
          first_grads = np.full((10,), 0.01)
  
          # fmt: off
          golden = np.array(
              [[0.9999, 0.9999, 0.9999, 0.9999, 0.9999, 0.9999, 0.9999, 0.9999,
              0.9999, 0.9999], [0.9989, 0.9979, 0.9969, 0.9959, 0.9949, 0.9939,
              0.9929, 0.9919, 0.9909, 0.9899], [0.9979, 0.9959, 0.9939, 0.9919,
              0.9899, 0.9879, 0.9859, 0.9839, 0.9819, 0.9799], [0.9969, 0.9939,
              0.9909, 0.9879, 0.9849, 0.9819, 0.9789, 0.9759, 0.9729, 0.9699],
              [0.9959, 0.9919, 0.9879, 0.9839, 0.9799, 0.9759, 0.9719, 0.9679,
              0.9639, 0.9599]]
          )
      # fmt: on
  
      self.strategy.run(
          lambda: optimizer.apply_gradients(zip([first_grads], [x]))
      )
      for i in range(5):
          self.assertAllClose(x, golden[i], rtol=5e-4, atol=5e-4)
          self.strategy.run(
              lambda: optimizer.apply_gradients(zip([grads], [x]))
          )
  
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 5 for calling the OptimizerDistributeTest obj's underlying member method code with example usage: obj.test_correctness_with_golden() without return types