code: def testMaxPool3dSamePadding(self):
      expected_output = [31.0, 32.0, 33.0, 34.0, 35.0, 36.0]
      self._VerifyValues(
          nn_ops.max_pool3d,
          input_sizes=[1, 2, 2, 3, 3],
          window=(2, 2, 2),
          strides=(2, 2, 2),
          padding="SAME",
          expected=expected_output,
      )
  
imports: import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import errors_impl
  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 gradient_checker_v2
  from tensorflow.python.ops import nn_ops
  import tensorflow.python.ops.nn_grad
  from tensorflow.python.platform import test
label_desc: Use image node_id 10 for calling the PoolingTest obj's underlying member method code with example usage: obj.testMaxPool3dSamePadding() without return types