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ModelZoo
particle_transformer_pytorch
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493d2c66
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493d2c66
authored
Nov 29, 2024
by
mashun1
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Update README.md
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README.md
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493d2c66
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docker run --shm-size 50g --network=host --name=pt --privileged --device=/dev/kfd --device=/dev/dri --group-add video --cap-add=SYS_PTRACE --security-opt seccomp=unconfined -v 项目地址(绝对路径):/home/ -v /opt/hyhal:/opt/hyhal:ro -it <your IMAGE ID> bash
docker run --shm-size 50g --network=host --name=pt --privileged --device=/dev/kfd --device=/dev/dri --group-add video --cap-add=SYS_PTRACE --security-opt seccomp=unconfined -v 项目地址(绝对路径):/home/ -v /opt/hyhal:/opt/hyhal:ro -it <your IMAGE ID> bash
pip install -r requirements.txt
### Dockerfile(方法二)
### Dockerfile(方法二)
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docker run --shm-size 50g --network=host --name=pt --privileged --device=/dev/kfd --device=/dev/dri --group-add video --cap-add=SYS_PTRACE --security-opt seccomp=unconfined -v 项目地址(绝对路径):/home/ -v /opt/hyhal:/opt/hyhal:ro -it <your IMAGE ID> bash
docker run --shm-size 50g --network=host --name=pt --privileged --device=/dev/kfd --device=/dev/dri --group-add video --cap-add=SYS_PTRACE --security-opt seccomp=unconfined -v 项目地址(绝对路径):/home/ -v /opt/hyhal:/opt/hyhal:ro -it <your IMAGE ID> bash
pip install -r requirements.txt
### Anaconda (方法三)
### Anaconda (方法三)
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Tips:以上dtk驱动、python、torch等DCU相关工具版本需要严格一一对应
Tips:以上dtk驱动、python、torch等DCU相关工具版本需要严格一一对应
2、其它非特殊库参照requirements.txt安装
pip install -r requirements.txt
## 数据集
## 数据集
可使用脚本下载数据集,也可通过SCNet高速通道进行下载,
可使用脚本下载数据集,也可通过SCNet高速通道进行下载,
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## 参考资料
## 参考资料
*
https://github.com/jet-universe/particle_transformer
*
https://github.com/jet-universe/particle_transformer
*
https://github.com/hqucms/weaver-core
*
https://github.com/hqucms/weaver-core
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