code: def testConv3D1x1x1Filter(self, data_format, dtype, use_gpu, op_name):
      expected_output = [
          0.18518519,
          0.22222222,
          0.25925926,
          0.40740741,
          0.5,
          0.59259259,
          0.62962963,
          0.77777778,
          0.92592593,
          0.85185185,
          1.05555556,
          1.25925926,
          1.07407407,
          1.33333333,
          1.59259259,
          1.2962963,
          1.61111111,
          1.92592593,
      ]
  
      # These are equivalent to the Conv2D1x1 case.
      self._VerifyValues(
          tensor_in_sizes=[1, 2, 3, 1, 3],
          filter_in_sizes=[1, 1, 1, 3, 3],
          stride=1,
          padding="VALID",
          expected=expected_output,
          data_format=data_format,
          dtype=dtype,
          use_gpu=use_gpu,
          op_name=op_name,
      )
      self._VerifyValues(
          tensor_in_sizes=[1, 2, 1, 3, 3],
          filter_in_sizes=[1, 1, 1, 3, 3],
          stride=1,
          padding="VALID",
          expected=expected_output,
          data_format=data_format,
          dtype=dtype,
          use_gpu=use_gpu,
          op_name=op_name,
      )
      self._VerifyValues(
          tensor_in_sizes=[1, 1, 2, 3, 3],
          filter_in_sizes=[1, 1, 1, 3, 3],
          stride=1,
          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 10 for calling the Conv3DTest obj's underlying member method code with example usage: obj.testConv3D1x1x1Filter(data_format, dtype, use_gpu, op_name) without return types