class_docstr: QuantizeConfig which only quantizes the output from a layer.
class_docstr_tok: ["QuantizeConfig","which","only","quantizes","the","output","from","a","layer","."]
code: def get_config(self) -> Dict[str, Any]:
      return {
          "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_configs.py
imports: from typing import Any, Dict
  from tensorflow_model_optimization.python.core.quantization.keras import quantize_config
  from tensorflow_model_optimization.python.core.quantization.keras import quantizers
label_desc: Use image node_id 7 for calling the DefaultNBitOutputQuantizeConfig obj's underlying member method code with example usage: obj.get_config() and returns: dict