文件名称：once-for-all:[ICLR 2020]一劳永逸
文件大小：2.91MB
文件格式：ZIP
更新时间：2024-05-28 09:10:26
acceleration nas automl edge-ai efficient-model
一劳永逸：训练一个网络并对其进行专业化以实现有效部署 @inproceedings { cai2020once, title = { Once for All: Train One Network and Specialize it for Efficient Deployment } , author = { Han Cai and Chuang Gan and Tianzhe Wang and Zhekai Zhang and Song Han } , booktitle = { International Conference on Learning Representations } , year = { 2020 } , url = { https://arxiv.org/pdf/1908.09791.pdf } } [新闻]在，CPU检测和FPGA
【文件预览】：
once-for-all-master
----tutorial()
--------ofa.ipynb(115KB)
--------README.md(2KB)
--------ofa_resnet50_example.ipynb(5KB)
----figures()
--------video_figure.png(287KB)
--------diverse_hardware.png(787KB)
--------ofa-tutorial.jpg(128KB)
--------cnn_imagenet_new.png(788KB)
--------imagenet_80_acc.png(537KB)
--------overview.png(581KB)
----eval_ofa_net.py(2KB)
----.github()
--------workflows()
----train_ofa_net.py(10KB)
----LICENSE(1KB)
----eval_specialized_net.py(7KB)
----requirements.txt(26B)
----ofa()
--------tutorial()
--------nas()
--------imagenet_classification()
--------model_zoo.py(3KB)
--------__init__.py(0B)
--------utils()
----setup.py(2KB)
----.gitignore(1KB)
----README.md(15KB)
----build.sh(106B)