code: def testClipByValueBadShape(self):
      with self.session():
          x = constant_op.constant(
              [-5.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[2, 3, 1]
          )
          # Use a nonsensical shape.
          clip = constant_op.constant([1.0, 2.0])
          with self.assertRaises(ValueError):
              _ = clip_ops.clip_by_value(
                  x, -clip, clip
              )  # pylint: disable=invalid-unary-operand-type
          with self.assertRaises(ValueError):
              _ = clip_ops.clip_by_value(x, 1.0, clip)
  
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 7 for calling the ClipTest obj's underlying member method code with example usage: obj.testClipByValueBadShape() without return types