code: def testClipByAverageNormZero(self):
      # No norm clipping when average clip_norm = 0
      with self.session():
          x = constant_op.constant(
              [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], shape=[2, 3]
          )
          # Average norm = 0, no changes
          np_ans = [[0.0, 0.0, 0.0], [0.0, 0.0, 0.0]]
          clip_norm = 0.9
          ans = clip_ops.clip_by_average_norm(x, clip_norm)
          tf_ans = self.evaluate(ans)
  
      self.assertAllClose(np_ans, tf_ans)
  
imports: import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import indexed_slices
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import clip_ops
  from tensorflow.python.ops import gen_math_ops
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 30 for calling the ClipTest obj's underlying member method code with example usage: obj.testClipByAverageNormZero() without return types