code: def _expected_weights(self):
      return [
          self.cell1.kernel,
          self.cell1.recurrent_kernel,
          self.cell2.kernel,
          self.cell2.recurrent_kernel,
      ]
  
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 2 for calling the Default8BitQuantizeConfigRNNTest obj's underlying member method code with example usage: obj._expected_weights() and returns: list