code: def testConv3D2x2x2FilterStride2(
      self, data_format, dtype, use_gpu, op_name
  ):
      expected_output = [
          3.77199074,
          3.85069444,
          3.92939815,
          9.68865741,
          9.93402778,
          10.17939815,
      ]
      self._VerifyValues(
          tensor_in_sizes=[1, 4, 2, 3, 3],
          filter_in_sizes=[2, 2, 2, 3, 3],
          stride=2,
          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 15 for calling the Conv3DTest obj's underlying member method code with example usage: obj.testConv3D2x2x2FilterStride2(data_format, dtype, use_gpu, op_name) without return types