code: def testReduceWindowGrad(
      self,
      op,
      init_val,
      dtype,
      shape,
      dims,
      strides,
      padding,
      base_dilation,
      window_dilation,
      rng_factory,
  ):
      rng = rng_factory(self.rng())
      init_val = np.asarray(init_val, dtype=dtype)
  
      gradient_order = 3
      # We need this conditional and the corresponding loop logic to be in the
      # test method, rather than at the parameterized test level, because it
      # depends on FLAGS for the device under test.
      # TODO(b/31565929): enable when fixed.
      if jtu.test_device_matches(["tpu"]) and op is not lax.add:
          if (
              len(shape) != 4
              or dims != (1, 1, 2, 1)
              or not isinstance(padding, str)
          ):
              raise SkipTest(
                  "Only R4 SelectAndScatter implemented on TPU"
              )
  
      def fun(operand):
          return lax.reduce_window(
              operand,
              init_val,
              op,
              dims,
              strides,
              padding,
              base_dilation,
              window_dilation,
          )
  
      operand = rng(shape, dtype)
      if op is lax.add:
          eps = 1.0
          tol = None
      else:
          # this test can fail if there are duplicates in operand
          self.assertEqual(
              np.unique(operand).size,
              operand.size,
              msg="test requires operand elements to be unique.",
          )
          eps = 1e-2
          tol = {np.float16: 1e-1, np.float32: 6e-2, np.float64: 6e-2}
      check_grads(
          fun, (operand,), gradient_order, ["fwd", "rev"], tol, tol, eps
      )
  
imports: import collections
  from functools import partial
  import itertools
  import math
  from unittest import SkipTest
  from absl.testing import absltest
  from absl.testing import parameterized
  import numpy
  import jax
  from jax import dtypes
  from jax import lax
  from jax._src import test_util
  from jax._src.util import NumpyComplexWarning
  from jax.test_util import check_grads
  from jax import config
label_desc: Use image node_id 29 for calling the LaxAutodiffTest obj's underlying member method code with example usage: obj.testReduceWindowGrad(op, init_val, dtype, shape, dims, strides, padding, base_dilation, window_dilation, rng_factory) and returns: lax