code: def testConv3D2x2x2Filter(self, data_format, dtype, use_gpu, op_name):
      expected_output = [
          3.77199074,
          3.85069444,
          3.92939815,
          4.2650463,
          4.35763889,
          4.45023148,
          6.73032407,
          6.89236111,
          7.05439815,
          7.22337963,
          7.39930556,
          7.57523148,
          9.68865741,
          9.93402778,
          10.17939815,
          10.18171296,
          10.44097222,
          10.70023148,
      ]
      # expected_shape = [1, 3, 1, 2, 5]
      self._VerifyValues(
          tensor_in_sizes=[1, 4, 2, 3, 3],  # b, z, y, x, fin
          filter_in_sizes=[2, 2, 2, 3, 3],  # z, y, x, fin, fout
          stride=1,
          padding="VALID",
          expected=expected_output,
          data_format=data_format,
          dtype=dtype,
          use_gpu=use_gpu,
          op_name=op_name,
      )
  
imports: import math
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import gen_nn_ops
  from tensorflow.python.ops import gradient_checker
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import nn_ops
  import tensorflow.python.ops.nn_grad
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
  from tensorflow.python.util.compat import collections_abc
  from tensorflow.python.eager import context
label_desc: Use image node_id 12 for calling the Conv3DTest obj's underlying member method code with example usage: obj.testConv3D2x2x2Filter(data_format, dtype, use_gpu, op_name) without return types