code: def testGradient(self):
      with self.cached_session():
          for padding in ["SAME", "VALID"]:
              for rate_width in range(1, 3):
                  for rate_height in range(1, 3):
                      self._test_gradient(
                          x_shape=[2, 5, 6, 2],
                          f_shape=[3, 3, 2, 2],
                          dilation_rate=[rate_height, rate_width],
                          padding=padding,
                      )
  
imports: import contextlib
  import numpy
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gradient_checker
  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 11 for calling the AtrousConvolutionTest obj's underlying member method code with example usage: obj.testGradient() without return types