Quantization Aware Training

Creator

Creator

Created

Created

2023 Jul 2 3:2

Editor

Editor

Edited

Edited

2024 Dec 20 0:10

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Refs

Post-training quantization

QAT

학습 진행 시점에 inference 시 quantization 적용에 의한 영향을 미리 시뮬레이션을 하는 방식이고 그걸 기반으로 Back Propagation

소형 모델에서도 성능하락 적다

Red node is fake quantization node (act means activation, wt means weight)

Red node is fake quantization node (act means activation, wt means weight)

Quantization aware training | TensorFlow Model Optimization

Quantization aware training | TensorFlow Model Optimization

https://www.tensorflow.org/model_optimization/guide/quantization/training

Quantization aware training | TensorFlow Model Optimization

Inside Quantization Aware Training

To optimize our neural networks to run for low power and low storage devices, various model optimization techniques are used. One such very efficient technique is Quantization Aware Training.

Inside Quantization Aware Training

https://towardsdatascience.com/inside-quantization-aware-training-4f91c8837ead

Inside Quantization Aware Training

딥러닝의 Quantization (양자화)와 Quantization Aware Training

gaussian37's blog

딥러닝의 Quantization (양자화)와 Quantization Aware Training

https://gaussian37.github.io/dl-concept-quantization/

딥러닝의 Quantization (양자화)와 Quantization Aware Training

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