code: def testConv3DStrides(self, data_format, dtype, use_gpu, op_name):
      expected_output = [
          0.06071429,
          0.08988095,
          0.10238095,
          0.11488095,
          0.12738095,
          0.13988095,
          0.08452381,
          0.26071429,
          0.35238095,
          0.36488095,
          0.37738095,
          0.38988095,
          0.40238095,
          0.23452381,
          0.46071429,
          0.61488095,
          0.62738095,
          0.63988095,
          0.65238095,
          0.66488095,
          0.38452381,
          1.12738095,
          1.48988095,
          1.50238095,
          1.51488095,
          1.52738095,
          1.53988095,
          0.88452381,
          1.32738095,
          1.75238095,
          1.76488095,
          1.77738095,
          1.78988095,
          1.80238095,
          1.03452381,
          1.52738095,
          2.01488095,
          2.02738095,
          2.03988095,
          2.05238095,
          2.06488095,
          1.18452381,
          2.19404762,
          2.88988095,
          2.90238095,
          2.91488095,
          2.92738095,
          2.93988095,
          1.68452381,
          2.39404762,
          3.15238095,
          3.16488095,
          3.17738095,
          3.18988095,
          3.20238095,
          1.83452381,
          2.59404762,
          3.41488095,
          3.42738095,
          3.43988095,
          3.45238095,
          3.46488095,
          1.98452381,
      ]
      self._VerifyValues(
          tensor_in_sizes=[1, 5, 8, 7, 1],
          filter_in_sizes=[1, 2, 3, 1, 1],
          stride=[
              2,
              3,
              1,
          ],  # different stride for each spatial dimension
          padding="SAME",
          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 14 for calling the Conv3DTest obj's underlying member method code with example usage: obj.testConv3DStrides(data_format, dtype, use_gpu, op_name) without return types