code: def testShapeNegative(self, initial_shape, final_shape):
      first_shape = tf.TensorShape([3, 3])
      second_shape = tf.TensorShape([5])
      segment_shapes = [first_shape, second_shape]
  
      inputs_shape = (
          initial_shape
          + [first_shape.num_elements() + second_shape.num_elements()]
          + final_shape
      )
  
      inputs = tf.random.uniform(inputs_shape)
      first, second = util.segment_dim(
          inputs, dim=-len(final_shape) - 1, shapes=segment_shapes
      )
      self.assertAllEqual(
          first.shape.as_list(),
          initial_shape + first_shape.as_list() + final_shape,
      )
      self.assertAllEqual(
          second.shape.as_list(),
          initial_shape + second_shape.as_list() + final_shape,
      )
  
imports: from absl.testing import parameterized
  import numpy
  from sonnet.src import linear
  from sonnet.src import test_utils
  from sonnet.src.nets.dnc import util
  import tensorflow
  import tree
label_desc: Use image node_id 2 for calling the SegmentDimTest obj's underlying member method code with example usage: obj.testShapeNegative(initial_shape, final_shape) without return types