class_docstr: Default N-Bit Scheme supported by TFLite.
code: def get_quantize_registry(self):
      return (
          default_n_bit_quantize_registry.DefaultNBitQuantizeRegistry(
              disable_per_axis=self._disable_per_axis,
              num_bits_weight=self._num_bits_weight,
              num_bits_activation=self._num_bits_activation,
          )
      )
  
file_path: model-optimization/tensorflow_model_optimization/python/core/quantization/keras/experimental/default_n_bit/default_n_bit_quantize_scheme.py
imports: from tensorflow_model_optimization.python.core.quantization.keras import quantize_scheme
  from tensorflow_model_optimization.python.core.quantization.keras.experimental.default_n_bit import default_n_bit_quantize_layout_transform
  from tensorflow_model_optimization.python.core.quantization.keras.experimental.default_n_bit import default_n_bit_quantize_registry
label_desc: Use image node_id 3 for calling the DefaultNBitQuantizeScheme obj's underlying member method code with example usage: obj.get_quantize_registry() and returns: default_n_bit_quantize_registry