code: def setUp(self):
      super(Default8BitQuantizeConfigRNNTest, self).setUp()
  
      self.cell1 = l.LSTMCell(3)
      self.cell2 = l.GRUCell(2)
      self.layer = l.RNN([self.cell1, self.cell2])
      self.layer.build(input_shape=(3, 2))
  
      self.quantize_config = (
          default_8bit_quantize_registry.Default8BitQuantizeConfigRNN(
              [
                  ["kernel", "recurrent_kernel"],
                  ["kernel", "recurrent_kernel"],
              ],
              [
                  ["activation", "recurrent_activation"],
                  ["activation", "recurrent_activation"],
              ],
              False,
          )
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import unittest
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tensorflow_model_optimization.python.core.quantization.keras import quantizers
  from tensorflow_model_optimization.python.core.quantization.keras import utils
  from tensorflow_model_optimization.python.core.quantization.keras.default_8bit import default_8bit_quantize_registry
label_desc: Use image node_id 1 for calling the Default8BitQuantizeConfigRNNTest obj's underlying member method code with example usage: obj.setUp() without return types