HAQ: Hardware-Aware Automated Quantization With Mixed Precision
Model quantization is a widely used technique to compress and accelerate deep neural network (DNN) inference. Emergent DNN hardware accelerators begin to support mixed precision (1-8 bits) to further improve the computation efficiency, which raises a great challenge to find the optimal bitwidth for...
| Автори: | , , , , |
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| Інші автори: | |
| Формат: | Стаття |
| Мова: | English |
| Опубліковано: |
Institute of Electrical and Electronics Engineers (IEEE)
2021
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| Онлайн доступ: | https://hdl.handle.net/1721.1/129522 |