标签:en mxnet persistenced d2l https nvidia gpu ubuntu20 com
一.网址
https://developer.nvidia.com/zh-cn/cuda-downloads
https://docs.nvidia.com/cuda/index.html
https://docs.nvidia.com/cuda/cuda-quick-start-guide/index.html
https://developer.nvidia.com/rdp/cudnn-download
https://docs.nvidia.com/deeplearning/cudnn/install-guide/index.html#verify
https://github.com/apache/incubator-mxnet/issues/18931
https://github.com/d2l-ai/d2l-en
https://github.com/d2l-ai/d2l-zh
http://ipython.org/notebook.html
https://jupyter.readthedocs.io/en/latest/install.html
https://github.com/jupyter/notebook
二. 讨论
The setup of nvidia.persistenced is formulated as follows.
1. check the status of nvidia-persistenced
$ sudo systemctl status nvidia-persistenced
2. Enable nvidia-persistenced
$ sudo systemctl enable nvidia-persistenced
3. Reboot for execution
$ sudo reboot
If there are issues in the above-mentioned second step, developers need to do the following.
4. Open nvidia-persistenced.service
$ sudo gedit /lib/systemd/system/nvidia-persistenced.service
5. Modify and add the content of the file
1). Modify the line in section of [Service]
[Service]
Change
ExecStart=/usr/bin/nvidia-persistenced --user nvidia-persistenced --no-persistence-mode --verbose
To:
ExecStart=/usr/bin/nvidia-persistenced --user nvidia-persistenced --persistence-mode --verbose
2). Add the following lines into the file:
[Install]
WantedBy=multi-user.target
RequiredBy=nvidia.service
Notes:
The temporal method to set nvidia.persistenced is to use the following command:
$ sudo nvidia-smi -pm 1
Cheers
https://forums.developer.nvidia.com/t/setting-up-nvidia-persistenced/47986/11
三. 环境
1.
gedit .bashrc
export PATH=/usr/local/cuda-11.2/bin${PATH:+:${PATH}}
export LD_LIBRARY_PATH=/usr/local/cuda-11.2/lib64\
${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}
2.
安装whl包:pip install wheel -> pip install **.whl
pip install notebook
3.
pip install d2l
pip install d2lzh
kdir d2l-en && cd d2l-en
curl https://d2l.ai/d2l-en.zip -o d2l-en.zip
unzip d2l-en.zip && rm d2l-en.zip
标签:en,mxnet,persistenced,d2l,https,nvidia,gpu,ubuntu20,com 来源: https://blog.csdn.net/eidolon_foot/article/details/114380090
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