code: def testDynamicUpdateSlice(self):
      a = array_ops.placeholder(np.float32, shape=(2, 3, 4))
      upd = array_ops.placeholder(np.float32, shape=(1, 2, 3))
      start_indices = array_ops.placeholder(np.int32, shape=(3,))
  
      res = xla.dynamic_update_slice(a, upd, start_indices)
      self.assertEqual(res.shape.as_list(), [2, 3, 4])
  
      a = array_ops.placeholder(np.float32, shape=(None, 3, None))
      res = xla.dynamic_update_slice(a, upd, start_indices)
      self.assertEqual(res.shape.as_list(), [None, 3, None])
  
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 12 for calling the XlaOpsShapeInferenceTest obj's underlying member method code with example usage: obj.testDynamicUpdateSlice() without return types