code: def _testDilationValidPaddingUnevenStride(self, use_gpu, dtype):
      # [1, 3, 3, 1]
      image = [
          [
              [[0.1], [0.2], [0.3], [0.4]],
              [[0.5], [0.6], [0.7], [0.8]],
              [[0.9], [1.0], [1.1], [1.2]],
          ]
      ]
      # [2, 2, 1]
      kernel = [[[0.4], [0.3]], [[0.1], [0.2]]]
      # [1, 2, 2, 1]
      out = [[[[0.8], [1.0]], [[1.2], [1.4]]]]
      self._VerifyValues(
          image,
          kernel,
          strides=[1, 2],
          rates=[1, 1],
          padding="VALID",
          out=out,
          use_gpu=use_gpu,
          dtype=dtype,
      )
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.framework import config
  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 test_util
  from tensorflow.python.ops import gradient_checker_v2
  from tensorflow.python.ops import nn_ops
  import tensorflow.python.ops.nn_grad
  from tensorflow.python.platform import test
label_desc: Use image node_id 8 for calling the DilationTest obj's underlying member method code with example usage: obj._testDilationValidPaddingUnevenStride(use_gpu, dtype) without return types