code: def testAvgPool3dValidPadding(self):
      expected_output = [20.5, 21.5, 22.5]
      self._VerifyValues(
          nn_ops.avg_pool3d,
          input_sizes=[1, 3, 3, 3, 3],
          window=(2, 2, 2),
          strides=(2, 2, 2),
          padding="VALID",
          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 3 for calling the PoolingTest obj's underlying member method code with example usage: obj.testAvgPool3dValidPadding() without return types