code: def test_with_multiple_input_shapes(self, input_dims, dtype):
      def x_fn():
          return tf.random.uniform(
              input_dims, minval=0, maxval=10, dtype=dtype
          )
  
      test_data = self.run_one_to_many_encode_decode(
          self.default_encoding_stage(), x_fn
      )
      self.common_asserts_for_test_data(test_data)
  
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 5 for calling the DifferenceBetweenIntegersEncodingStageTest obj's underlying member method code with example usage: obj.test_with_multiple_input_shapes(input_dims, dtype) and returns: tf