Introducing LiteRT: Google's high-performance runtime for on-device AI, formerly known as TensorFlow Lite. Learn more

mediapipe_model_maker.model_util.convert_to_tflite

View source on GitHub

Converts the input Keras model to TFLite format.

View aliases

Main aliases

mediapipe_model_maker.face_stylizer.face_stylizer.face_stylizer_options.model_opt.loss_functions.model_util.convert_to_tflite, mediapipe_model_maker.face_stylizer.face_stylizer.loss_functions.model_util.convert_to_tflite, mediapipe_model_maker.face_stylizer.face_stylizer.model_opt.loss_functions.model_util.convert_to_tflite, mediapipe_model_maker.face_stylizer.face_stylizer.model_util.convert_to_tflite, mediapipe_model_maker.face_stylizer.face_stylizer_options.model_opt.loss_functions.model_util.convert_to_tflite, mediapipe_model_maker.face_stylizer.model_options.loss_functions.model_util.convert_to_tflite

mediapipe_model_maker.model_util.convert_to_tflite(
    model: tf.keras.Model,
    quantization_config: Optional[mediapipe_model_maker.quantization.QuantizationConfig] = None,
    supported_ops: Tuple[tf.lite.OpsSet, ...] = (tf.lite.OpsSet.TFLITE_BUILTINS,),
    preprocess: