code: def testDepthwiseMaxPool2x2DepthWindow3(self):
      # input is:
      #
      # a 2x2x6 cube, and we depthwise max across 3 to produce a 2x2x2
      # output.  Each node has contiguous values, so the depthwise max
      # should be multiples of 3.0.
      self._VerifyValues(
          nn_ops.max_pool,
          input_sizes=[1, 2, 2, 6],
          ksize=[1, 1, 1, 3],
          strides=[1, 1, 1, 3],
          padding="SAME",
          expected=[3.0, 6.0, 9.0, 12.0, 15.0, 18.0, 21.0, 24.0],
      )
  
imports: import numpy
  from tensorflow.compiler.tests import xla_test
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_nn_ops
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 10 for calling the PoolingTest obj's underlying member method code with example usage: obj.testDepthwiseMaxPool2x2DepthWindow3() without return types