Libraries for post-training quantization.
Modules
ds
module: Common dataset for model training and evaluation.
Classes
class QuantizationConfig
: Configuration for post-training quantization.
Libraries for post-training quantization.
Main aliases
mediapipe_model_maker.face_stylizer.face_stylizer.face_stylizer_options.model_opt.loss_functions.model_util.quantization
, mediapipe_model_maker.face_stylizer.face_stylizer.loss_functions.model_util.quantization
, mediapipe_model_maker.face_stylizer.face_stylizer.model_opt.loss_functions.model_util.quantization
, mediapipe_model_maker.face_stylizer.face_stylizer.model_util.quantization
, mediapipe_model_maker.face_stylizer.face_stylizer_options.model_opt.loss_functions.model_util.quantization
, mediapipe_model_maker.face_stylizer.model_options.loss_functions.model_util.quantization
, mediapipe_model_maker.model_util.quantization
ds
module: Common dataset for model training and evaluation.
class QuantizationConfig
: Configuration for post-training quantization.
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License , and code samples are licensed under the Apache 2.0 License . For details, see the Google Developers Site Policies . Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2026-05-28 UTC.