code: def testDynamicSlice(self):
      for dtype in self.numeric_types:
          self._assertOpOutputMatchesExpected(
              xla.dynamic_slice,
              args=(
                  np.arange(1000, dtype=np.int32)
                  .astype(dtype)
                  .reshape([10, 10, 10]),
                  np.array([5, 7, 3]),
                  np.array([2, 3, 2]),
              ),
              expected=np.array(
                  np.array(
                      [
                          [[573, 574], [583, 584], [593, 594]],
                          [[673, 674], [683, 684], [693, 694]],
                      ]
                  ),
                  dtype=dtype,
              ),
          )
  
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 23 for calling the XlaOpsNumericalTest obj's underlying member method code with example usage: obj.testDynamicSlice() without return types