code: def testConv3D1x1x1Filter2x1x1Dilation(self, data_format, op_name):
      expected_output = np.reshape(
          [
              0.05555555555555555,
              0.1111111111111111,
              0.16666666666666666,
              0.2222222222222222,
              0.2777777777777778,
              0.3333333333333333,
              0.3888888888888889,
              0.4444444444444444,
              0.5,
              0.5555555555555556,
              0.6111111111111112,
              0.6666666666666666,
              0.7222222222222222,
              0.7777777777777778,
              0.8333333333333334,
              0.8888888888888888,
              0.9444444444444444,
              1.0,
          ],
          [1, 3, 6, 1, 1],
      )
  
      self._VerifyValues(
          input_sizes=[1, 3, 6, 1, 1],
          filter_sizes=[1, 1, 1, 1, 1],
          strides=[1, 1, 1],
          padding="VALID",
          dilations=[2, 1, 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 3 for calling the Conv3DTest obj's underlying member method code with example usage: obj.testConv3D1x1x1Filter2x1x1Dilation(data_format, op_name) without return types