code: def testIncorrectOutputShape(self):
      c = conv_transpose.ConvNDTranspose(
          num_spatial_dims=2,
          output_channels=3,
          kernel_shape=2,
          output_shape=[1],
          data_format="NHWC",
      )
      with self.assertRaisesRegex(
          ValueError,
          "The output_shape must be of length 2 but instead was 1.",
      ):
          c(tf.ones([3, 5, 5, 3]))
  
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 4 for calling the ConvTransposeTest obj's underlying member method code with example usage: obj.testIncorrectOutputShape() without return types