code: def testShapeDilated(self):
      if "CPU" == self.primary_device:
          self.skipTest("Not supported on CPU")
      conv1 = conv_transpose.Conv2DTranspose(
          output_channels=1,
          output_shape=None,
          kernel_shape=3,
          rate=2,
          padding="VALID",
      )
  
      out = conv1(tf.ones([1, 3, 3, 1]))
      self.assertEqual(out.shape, [1, 7, 7, 1])
  
imports: import itertools
  from absl.testing import parameterized
  import numpy
  from sonnet.src import conv_transpose
  from sonnet.src import initializers
  from sonnet.src import test_utils
  import tensorflow
label_desc: Use image node_id 3 for calling the Conv2DTransposeTest obj's underlying member method code with example usage: obj.testShapeDilated() without return types