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PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

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Add Post-Training Quantization and export function in dygraph mode (#50107) Add PTQ and exporting function 1. Add Post-Training Quantization 1.1 Abstract some functions from QAT to Quantization class 1.2 Add Post-Training Quantization by extending Quantization class 1.3 Add observers for PTQ 1.4 Add unittest for PTQ 2. Add exporting function for QAT and PTQ
2023-02-16 14:57:20 +08:00
"""Abstract observer class."""
[CodeStyle][black] Bump black to 2024 style (#67158)
2024-08-08 10:10:45 +08:00
Add Post-Training Quantization and export function in dygraph mode (#50107) Add PTQ and exporting function 1. Add Post-Training Quantization 1.1 Abstract some functions from QAT to Quantization class 1.2 Add Post-Training Quantization by extending Quantization class 1.3 Add observers for PTQ 1.4 Add unittest for PTQ 2. Add exporting function for QAT and PTQ
2023-02-16 14:57:20 +08:00
# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
[Typing][C-121,C-122,C-123,C-124] Add type annotations for `python/paddle/quantization/{base_observer,factory,ptq,qat}.py` (#66693)
2024-08-01 03:22:33 +08:00
from __future__ import annotations
Add Post-Training Quantization and export function in dygraph mode (#50107) Add PTQ and exporting function 1. Add Post-Training Quantization 1.1 Abstract some functions from QAT to Quantization class 1.2 Add Post-Training Quantization by extending Quantization class 1.3 Add observers for PTQ 1.4 Add unittest for PTQ 2. Add exporting function for QAT and PTQ
2023-02-16 14:57:20 +08:00
import abc
from .base_quanter import BaseQuanter
class BaseObserver(BaseQuanter, metaclass=abc.ABCMeta):
r"""
Built-in observers and customized observers should extend this base observer
and implement abstract methods.
"""
[Typing][C-121,C-122,C-123,C-124] Add type annotations for `python/paddle/quantization/{base_observer,factory,ptq,qat}.py` (#66693)
2024-08-01 03:22:33 +08:00
def __init__(self) -> None:
[CodeStyle][UP008] remove super call with parameters (#51812) * remove super call with parameters * fix bug
2023-03-20 17:55:36 +08:00
super().__init__()
Add Post-Training Quantization and export function in dygraph mode (#50107) Add PTQ and exporting function 1. Add Post-Training Quantization 1.1 Abstract some functions from QAT to Quantization class 1.2 Add Post-Training Quantization by extending Quantization class 1.3 Add observers for PTQ 1.4 Add unittest for PTQ 2. Add exporting function for QAT and PTQ
2023-02-16 14:57:20 +08:00
@abc.abstractmethod
[Typing][C-121,C-122,C-123,C-124] Add type annotations for `python/paddle/quantization/{base_observer,factory,ptq,qat}.py` (#66693)
2024-08-01 03:22:33 +08:00
def cal_thresholds(self) -> None:
Add Post-Training Quantization and export function in dygraph mode (#50107) Add PTQ and exporting function 1. Add Post-Training Quantization 1.1 Abstract some functions from QAT to Quantization class 1.2 Add Post-Training Quantization by extending Quantization class 1.3 Add observers for PTQ 1.4 Add unittest for PTQ 2. Add exporting function for QAT and PTQ
2023-02-16 14:57:20 +08:00
pass
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