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cuda
ubuntu18.04 install cuda and cudnn
ubuntu18.04 system install cuda, cudnn
Ubuntu 18.04 install NVIDIA graphics card driver + cuda 10.2+cudnn
ubuntu18.04 cuda and cudnn install
Ubuntu operation learning (3) server installation different cuda version
server configuration multi-version CUDA , CUdnn (different Linux accounts use different CUDA, CUdnn versions)
from zero to one nanny level Ubuntu deep learning server environment configuration tutorial
laboratory server non-root user multi-version CUDA installation configuration (super detailed)
cudnn install
Nvidia driver, cuda, cuDNN, TensorRT environment installation
centos7.9 system installation cuda+cudnn+pytorch+python
anaconda pytorch pycharm installation
1. Anaconda pytorch pycharm is very complete: build a deep learning environment on an Ubuntu server (Ubuntu 18.04+Anaconda3+pytorch+PyCharm)
pycharm cannot be started in ubuntu16.04, uninstall and install pycharm
2 Downloaded pycharm decompression problem:
pycharm decompression file tar (child): : Unable to open: No such file or directory error report Solution
Install Pycharm in Ubuntu (Ubuntu21.10, Pycharm2021.1.3)
3. Start pycharm and report an error,
the original
can not be directly usesh pycharm.sh
Go to /home/lizhe-427/download/pycharm-community-2022.2.3/bin
or use sudo
(base) lizhe-427@ser427:~/download/pycharm-community-2022.2.3/bin$ sudo sh pycharm. sh
4 to check whether it is installed
Use PyTorch to check the version of CUDA and cuDNN
import torch
print(torch.version)
print(torch.version.cuda)
print(torch.backends.cudnn.version())