code: def _dummy_weights(self, weight):
      return K.variable(np.ones(weight.shape.as_list()))
  
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 4 for calling the Default8BitQuantizeConfigRNNTest obj's underlying member method code with example usage: obj._dummy_weights(weight) and returns: K