code: def testMaxPoolSamePaddingFilter4(self):
      expected_output = [
          21.0,
          22.0,
          23.0,
          24.0,
          29.0,
          30.0,
          31.0,
          32.0,
          53.0,
          54.0,
          55.0,
          56.0,
          61.0,
          62.0,
          63.0,
          64.0,
      ]
      self._VerifyValues(
          nn_ops.max_pool,
          input_sizes=[1, 4, 4, 4],
          ksize=[1, 2, 2, 1],
          strides=[1, 2, 2, 1],
          padding="SAME",
          expected=expected_output,
      )
  
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 7 for calling the PoolingTest obj's underlying member method code with example usage: obj.testMaxPoolSamePaddingFilter4() without return types