code: def testKernelSizeMatchesInputSize(
      self, data_format, dtype, use_gpu, op_name
  ):
      self._VerifyValues(
          tensor_in_sizes=[1, 2, 1, 2, 1],
          filter_in_sizes=[2, 1, 2, 1, 2],
          stride=1,
          padding="VALID",
          expected=[1.5625, 1.875],
          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 20 for calling the Conv3DTest obj's underlying member method code with example usage: obj.testKernelSizeMatchesInputSize(data_format, dtype, use_gpu, op_name) without return types