code: def _testClipTensorByNorm(self, inputs, max_norm, expected):
      input_op = constant_op.constant(inputs)
      clipped = clip_ops.clip_by_norm(input_op, max_norm)
      check_op = numerics.add_check_numerics_ops()
      result, _ = self.evaluate([clipped, check_op])
      self.assertAllClose(result, expected)
  
imports: import numpy
  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 ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import clip_ops
  from tensorflow.python.ops import numerics
  from tensorflow.python.platform import test
label_desc: Use image node_id 2 for calling the ClipOpsTest obj's underlying member method code with example usage: obj._testClipTensorByNorm(inputs, max_norm, expected) without return types