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 __init__(self, quantize_output: bool = True) -> None:
      self.quantize_output = quantize_output
  
file_path: model-optimization/tensorflow_model_optimization/python/core/quantization/keras/default_8bit/default_8bit_quantize_configs.py
imports: 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 1 to create a new Default8BitOutputQuantizeConfig object from inherited base classes: quantize_config with example: obj = Default8BitOutputQuantizeConfig(quantize_output)