code: def testClipByNormGradientZeros(self):
      with self.session():
          x = array_ops.zeros([3])
          b = clip_ops.clip_by_norm(x, 1.0)
          (grad,) = gradients_impl.gradients(b, x)
          self.assertAllEqual(grad, [1.0, 1.0, 1.0])
  
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 12 for calling the ClipTest obj's underlying member method code with example usage: obj.testClipByNormGradientZeros() without return types