code: def testInvalidIndex(self):
      input_val = [1, 2]
      # Test with constant input; shape inference fails.
      with self.assertRaisesWithPredicateMatch(
          (ValueError, errors_impl.InvalidArgumentError), "out of range"
      ):
          constant_op.constant(input_val)[1:, 1:].get_shape()
  
      # Test evaluating with non-constant input; kernel execution fails.
      @def_function.function
      def func(input_t):
          slice_t = input_t[1:, 1:]
          return slice_t
  
      with self.assertRaisesWithPredicateMatch(
          TypeError, "must be integers or slices, not tuple"
      ):
          self.evaluate(func(input_val))
  
imports: import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 9 for calling the SliceTest obj's underlying member method code with example usage: obj.testInvalidIndex() and returns: slice_t