code: def testConv3D2x2x2FilterStride2(self, data_format, op_name):
      expected_output = np.reshape(
          [
              3.7719907407407405,
              3.850694444444445,
              3.929398148148149,
              9.688657407407408,
              9.934027777777779,
              10.17939814814815,
          ],
          [1, 2, 1, 1, 3],
      )
      self._VerifyValues(
          input_sizes=[1, 4, 2, 3, 3],
          filter_sizes=[2, 2, 2, 3, 3],
          strides=[2, 2, 2],
          padding="VALID",
          expected=expected_output,
          data_format_src="NDHWC",
          data_format_dst=data_format,
          op_name=op_name,
      )
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.compiler.tests import test_utils
  from tensorflow.compiler.tests import xla_test
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_nn_ops
  from tensorflow.python.ops import gradient_checker
  from tensorflow.python.ops import nn_ops
  import tensorflow.python.ops.nn_grad
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 7 for calling the Conv3DTest obj's underlying member method code with example usage: obj.testConv3D2x2x2FilterStride2(data_format, op_name) without return types