Post-training dynamic range quantization

Post-training_dynamic_range_quantization--quantize_model--01.py

def dynamic_range_quantize_model(model):
    _converter = tf.lite.TFLiteConverter.from_keras_model(model)
    del model
    _converter.optimizations = [tf.lite.Optimize.DEFAULT]
    _converter.target_spec.supported_ops = [
      tf.lite.OpsSet.TFLITE_BUILTINS, # enable TensorFlow Lite ops.
      tf.lite.OpsSet.SELECT_TF_OPS    # enable TensorFlow ops.
    ]
    _tflite_model = _converter.convert()
    del _converter
    return _tflite_model