code: def testConv3D2x2x2Filter1x2x1Dilation(self, data_format, op_name):
      expected_output = np.reshape(
          [
              1.1388888888888888,
              1.2013888888888888,
              1.3263888888888888,
              1.3888888888888888,
              1.5138888888888888,
              1.5763888888888888,
              1.701388888888889,
              1.763888888888889,
              2.263888888888889,
              2.3263888888888893,
              2.451388888888889,
              2.513888888888889,
              2.6388888888888893,
              2.701388888888889,
              2.826388888888889,
              2.888888888888889,
              3.388888888888889,
              3.451388888888889,
              3.576388888888889,
              3.6388888888888884,
              3.7638888888888893,
              3.8263888888888893,
              3.9513888888888893,
              4.013888888888889,
          ],
          [1, 3, 4, 2, 1],
      )
  
      self._VerifyValues(
          input_sizes=[1, 4, 6, 3, 1],
          filter_sizes=[2, 2, 2, 1, 1],
          strides=[1, 1, 1],
          padding="VALID",
          dilations=[1, 2, 1],
          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 5 for calling the Conv3DTest obj's underlying member method code with example usage: obj.testConv3D2x2x2Filter1x2x1Dilation(data_format, op_name) without return types