code: def test_encode_unsupported_input_shape_raises(self):
      x = tf.random.uniform((3, 4), maxval=10, dtype=tf.int32)
      stage = self.default_encoding_stage()
      params, _ = stage.get_params()
      with self.assertRaisesRegexp(
          ValueError, "Number of dimensions must be 1"
      ):
          stage.encode(x, params)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import itertools
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tensorflow_model_optimization.python.core.internal.tensor_encoding.stages.research import misc
  from tensorflow_model_optimization.python.core.internal.tensor_encoding.testing import test_utils
label_desc: Use image node_id 9 for calling the DifferenceBetweenIntegersEncodingStageTest obj's underlying member method code with example usage: obj.test_encode_unsupported_input_shape_raises() without return types