class_docstr: Default N-Bit Scheme supported by TFLite.
code: def __init__(
      self,
      disable_per_axis=False,
      num_bits_weight=8,
      num_bits_activation=8,
  ):
      self._disable_per_axis = disable_per_axis
      self._num_bits_weight = num_bits_weight
      self._num_bits_activation = 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 1 to create a new DefaultNBitQuantizeScheme object from inherited base classes: quantize_scheme with example: obj = DefaultNBitQuantizeScheme(disable_per_axis, num_bits_weight, num_bits_activation)