code: def testGetsQuantizeWeightsAndQuantizers(self):
      (weights, weight_quantizers) = self._convert_list(
          self.quantize_config.get_weights_and_quantizers(self.layer)
      )
  
      self._assert_weight_quantizers(weight_quantizers)
      self.assertEqual(self._expected_weights(), weights)
  
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 5 for calling the Default8BitQuantizeConfigRNNTest obj's underlying member method code with example usage: obj.testGetsQuantizeWeightsAndQuantizers() without return types