code: def testAtrousConvolution2D(self):
      with self._delay_checks() as add_check:
          for padding in ["SAME", "VALID"]:
              for height, width in [[9, 9], [9, 10]]:
                  for kernel_height, kernel_width in [
                      [1, 1],
                      [2, 2],
                      [2, 3],
                  ]:
                      for dilation_rate in [[1, 1], [3, 2], [2, 1]]:
                          self._test_atrous_convolution(
                              add_check=add_check,
                              input_shape=[2, height, width, 2],
                              filter_shape=[
                                  kernel_height,
                                  kernel_width,
                                  2,
                                  2,
                              ],
                              padding=padding,
                              dilation_rate=dilation_rate,
                          )
  
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 5 for calling the AtrousConvolutionTest obj's underlying member method code with example usage: obj.testAtrousConvolution2D() without return types