code: def testKernelSmallerThanStride(
      self, data_format, dtype, use_gpu, op_name
  ):
      expected_output = [
          0.03703704,
          0.11111111,
          0.25925926,
          0.33333333,
          0.7037037,
          0.77777778,
          0.92592593,
          1.0,
      ]
      self._VerifyValues(
          tensor_in_sizes=[1, 3, 3, 3, 1],
          filter_in_sizes=[1, 1, 1, 1, 1],
          stride=2,
          padding="SAME",
          expected=expected_output,
          data_format=data_format,
          dtype=dtype,
          use_gpu=use_gpu,
          op_name=op_name,
      )
      self._VerifyValues(
          tensor_in_sizes=[1, 3, 3, 3, 1],
          filter_in_sizes=[1, 1, 1, 1, 1],
          stride=2,
          padding="VALID",
          expected=expected_output,
          data_format=data_format,
          dtype=dtype,
          use_gpu=use_gpu,
          op_name=op_name,
      )
  
      expected_output = [
          0.54081633,
          0.58017493,
          0.28061224,
          0.81632653,
          0.85568513,
          0.40306122,
          0.41873178,
          0.4340379,
          0.19642857,
          2.46938776,
          2.50874636,
          1.1377551,
          2.74489796,
          2.78425656,
          1.26020408,
          1.16873178,
          1.1840379,
          0.51785714,
          1.09511662,
          1.10604956,
          0.44642857,
          1.17164723,
          1.18258017,
          0.47704082,
          0.3691691,
          0.37244898,
          0.125,
      ]
      self._VerifyValues(
          tensor_in_sizes=[1, 7, 7, 7, 1],
          filter_in_sizes=[2, 2, 2, 1, 1],
          stride=3,
          padding="SAME",
          expected=expected_output,
          data_format=data_format,
          dtype=dtype,
          use_gpu=use_gpu,
          op_name=op_name,
      )
  
      expected_output = [
          0.540816,
          0.580175,
          0.816327,
          0.855685,
          2.469388,
          2.508746,
          2.744898,
          2.784257,
      ]
      self._VerifyValues(
          tensor_in_sizes=[1, 7, 7, 7, 1],
          filter_in_sizes=[2, 2, 2, 1, 1],
          stride=3,
          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 19 for calling the Conv3DTest obj's underlying member method code with example usage: obj.testKernelSmallerThanStride(data_format, dtype, use_gpu, op_name) without return types