code: def testDynamicSliceWithIncorrectStartIndicesShape(self):
      with self.session() as session:
          with self.test_scope():
              output = xla.dynamic_slice(
                  np.arange(1000, dtype=np.int32).reshape([10, 10, 10]),
                  np.array([5, 7]),
                  np.array([2, 3, 4]),
              )
          with self.assertRaises(
              errors.InvalidArgumentError
          ) as invalid_arg_error:
              session.run(output)
          self.assertRegex(
              invalid_arg_error.exception.message,
              (
                  r"has mismatched number of slice sizes \(3\) and number of start"
                  r" indices \(2\)"
              ),
          )
  
imports: import functools
  from absl.testing import parameterized
  import numpy
  from tensorflow.compiler.tests import xla_test
  from tensorflow.compiler.tf2xla.ops import gen_xla_ops
  from tensorflow.compiler.tf2xla.python import xla
  from local_xla.xla import xla_data_pb2
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import function
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import random_ops_util
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 24 for calling the XlaOpsNumericalTest obj's underlying member method code with example usage: obj.testDynamicSliceWithIncorrectStartIndicesShape() without return types