class_docstr: Default N-Bit Scheme supported by TFLite.
code: def get_layout_transformer(self):
      return default_n_bit_quantize_layout_transform.DefaultNBitQuantizeLayoutTransform(
          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 2 for calling the DefaultNBitQuantizeScheme obj's underlying member method code with example usage: obj.get_layout_transformer() and returns: default_n_bit_quantize_layout_transform