Ubuntu18.04配置深度学习环境CUDA cudnn conda pycharm pytorch

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已于 2024-11-18 10:17:14 修改

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#深度学习

于 2024-09-18 19:29:34 首次发布

CUDA和cudnn安装

CUDA

nvidia驱动安装(此次未涉及)，直接测试查看驱动信息nvidia-smi
CUDA下载路径1(按CUDA版本号) cuda-toolkit-archive
CUDA下载路径2(按显卡) CUDA-GPUs,Legion-Y7000-2019-PG0,显卡为GTX1650
(24.9.18 Y7000)目前选择的是10.1 update2版本Linux x86_64 Ubuntu 18.04 runfile(local) 选择后会出现wget命令与执行命令，在控制台运行即可
安装过程参考，显卡驱动存在可忽略，显卡驱动取消勾选，成功安装输出

===========
= Summary =
===========

Driver:   Not Selected
Toolkit:  Installed in /usr/local/cuda-10.1/
Samples:  Installed in /home/qing/

Please make sure that
 -   PATH includes /usr/local/cuda-10.1/bin
 -   LD_LIBRARY_PATH includes /usr/local/cuda-10.1/lib64, or, add /usr/local/cuda-10.1/lib64 to /etc/ld.so.conf and run ldconfig as root

To uninstall the CUDA Toolkit, run cuda-uninstaller in /usr/local/cuda-10.1/bin

Please see CUDA_Installation_Guide_Linux.pdf in /usr/local/cuda-10.1/doc/pdf for detailed information on setting up CUDA.
***WARNING: Incomplete installation! This installation did not install the CUDA Driver. A driver of version at least 418.00 is required for CUDA 10.1 functionality to work.
To install the driver using this installer, run the following command, replacing <CudaInstaller> with the name of this run file:
    su