code: def testConv3D1x1x1Filter(self, data_format, op_name):
      expected_output = np.reshape(
          [
              0.18518518518518517,
              0.2222222222222222,
              0.25925925925925924,
              0.4074074074074074,
              0.5,
              0.5925925925925926,
              0.6296296296296297,
              0.7777777777777777,
              0.9259259259259259,
              0.8518518518518519,
              1.0555555555555556,
              1.259259259259259,
              1.074074074074074,
              1.3333333333333333,
              1.5925925925925926,
              1.2962962962962963,
              1.6111111111111112,
              1.9259259259259258,
          ],
          [1, 2, 3, 1, 3],
      )
  
      # These are equivalent to the Conv2D1x1 case.
      self._VerifyValues(
          input_sizes=[1, 2, 3, 1, 3],
          filter_sizes=[1, 1, 1, 3, 3],
          strides=[1, 1, 1],
          padding="VALID",
          expected=expected_output,
          data_format_src="NDHWC",
          data_format_dst=data_format,
          op_name=op_name,
      )
      self._VerifyValues(
          input_sizes=[1, 2, 1, 3, 3],
          filter_sizes=[1, 1, 1, 3, 3],
          strides=[1, 1, 1],
          padding="VALID",
          expected=np.reshape(expected_output, [1, 2, 1, 3, 3]),
          data_format_src="NDHWC",
          data_format_dst=data_format,
          op_name=op_name,
      )
      self._VerifyValues(
          input_sizes=[1, 1, 2, 3, 3],
          filter_sizes=[1, 1, 1, 3, 3],
          strides=[1, 1, 1],
          padding="VALID",
          expected=np.reshape(expected_output, [1, 1, 2, 3, 3]),
          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 2 for calling the Conv3DTest obj's underlying member method code with example usage: obj.testConv3D1x1x1Filter(data_format, op_name) without return types