code: def testAvgPool3dSamePaddingDifferentStrides(self):
      expected_output = [
          1.5,
          4.5,
          7.5,
          17.5,
          20.5,
          23.5,
          33.5,
          36.5,
          39.5,
      ]
      self._VerifyValues(
          nn_ops.avg_pool3d,
          input_sizes=[1, 5, 8, 1, 1],
          window=(1, 2, 3),
          strides=(2, 3, 1),
          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 5 for calling the PoolingTest obj's underlying member method code with example usage: obj.testAvgPool3dSamePaddingDifferentStrides() without return types