Back it up if you have nothing to do, increase development efficiency
NVIDIA status, updated in real time:
watch -n 0.1 -d nvidia-smi #refresh every 0.1 seconds
Check the Ubuntu version number:
lsb_release -a
Check the graphics card model:
nvidia-smi -L
View video memory usage
When running Caffe, TensorFlow, pytorch and other programs that require CUDA, after forcibly killing the process , it is found that the video memory is still occupied. At this time, you can use the following command to view the process that cannot be seen in top or ps, and then kill it :
fuser -v /dev/nvidia*
watch -n 0.1 -d nvidia-smi
Tsinghua source acceleration:
-i https://pypi.tuna.tsinghua.edu.cn/simple
View local ip:
ifconfig