作者:小妖2502898957 | 来源:互联网 | 2023-06-08 11:40
ubuntu20.04的安装1.准备约80g的硬盘空间2.rufus工具对应镜像文件.iso,制作u盘启动盘图片linux安装插入u盘重新启动电脑,进入点击安装Ubunt
ubuntu20.04的安装
1.准备约80g的硬盘空间
2.rufus工具+对应镜像文件.iso,制作u盘启动盘
图片
linux安装
插入u盘重新启动电脑,进入点击安装Ubuntu,按照系统指引选择地址和语言,然后在安装类型中选择【其他选项】/ something else分区
-
1 | swap区 | 16g(内存大小) | 逻辑分区 | 空间起始位置 | 交换空间 |
---|
2 | / | 30g | 主分区 | 空间起始位置 | etx4 |
3 | /boot | 2g | 逻辑分区 | 空间起始位置 | etx4 |
4 | /home | 52g | 逻辑分区 | 空间起始位置 | etx4 |
使用windows引导:选择/boot所在位置作为引导盘
NVIDIA显卡驱动
系统参数
系统:ubuntu20.04
显卡:NVIDIA GTX1050
打开软件与更新:
选择合适的版本,自己安装的是465,图是盗的,
判断安装是否成功
nvidia-smi #查看驱动信息
安装CUDA程序
https://developer.nvidia.com/cuda-toolkit-archive
选择正确的选项,盗图
runfile
wget https://developer.download.nvidia.com/compute/cuda/11.1.0/local_installers/cuda_11.1.0_455.23.05_linux.run
sudo sh cuda_11.1.0_455.23.05_linux.run
建议deb(local)
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-ubuntu2004.pin
sudo mv cuda-ubuntu2004.pin /etc/apt/preferences.d/cuda-repository-pin-600
wget https://developer.download.nvidia.com/compute/cuda/11.1.0/local_installers/cuda-repo-ubuntu2004-11-1-local_11.1.0-455.23.05-1_amd64.deb
sudo dpkg -i cuda-repo-ubuntu2004-11-1-local_11.1.0-455.23.05-1_amd64.deb
sudo apt-key add /var/cuda-repo-ubuntu2004-11-1-local/7fa2af80.pub
sudo apt-get update
sudo apt-get -y install cuda
根据官方给的教程安装
选择continue---->accept
因为已经安装了Driver,在driver上按空格space来取消安装,drivers可以向下兼容
安装之后,输入nvidia-smi,显示cuda version就是安装成功
或者nvcc -V
Tue Jun 22 12:38:08 2021
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 465.27 Driver Version: 465.27 CUDA Version: 11.3 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 NVIDIA GeForce ... Off | 00000000:01:00.0 Off | N/A |
| N/A 47C P0 N/A / N/A | 462MiB / 2002MiB | 14% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| 0 N/A N/A 959 G /usr/lib/xorg/Xorg 45MiB |
| 0 N/A N/A 1484 G /usr/lib/xorg/Xorg 172MiB |
| 0 N/A N/A 1664 G /usr/bin/gnome-shell 34MiB |
| 0 N/A N/A 1956 G /usr/lib/firefox/firefox 191MiB |
| 0 N/A N/A 2085 G /usr/lib/firefox/firefox 1MiB |
| 0 N/A N/A 2196 G /usr/lib/firefox/firefox 1MiB |
| 0 N/A N/A 7337 G /usr/lib/firefox/firefox 1MiB |
| 0 N/A N/A 12577 G /usr/lib/firefox/firefox 1MiB |
| 0 N/A N/A 14561 G /usr/lib/firefox/firefox 1MiB |
+-----------------------------------------------------------------------------+
配置环境
添加环境变量,打开profile文件(没有gedit 就去安装apt install gedit)
sudo gedit ~/.bashrc
在末尾处添加以下内容(注意不要有空格,不然会报错)
export PATH=/usr/local/cuda-11.1/bin:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda-11.1/lib64$LD_LIBRARY_PATH
source ~/.bashrc
CuDnn
官网下载:
sudo dpkg -i libcudnn8_8.0.4.30-1+cuda11.1_amd64.deb
sudo dpkg -i libcudnn8-dev_8.0.4.30-1+cuda11.1_amd64.deb
sudo dpkg -i libcudnn8-samples_8.0.4.30-1+cuda11.1_amd64.deb
Anaconda
官网下载
PYcharm安装
下载PyCharm Professional for Linux
下载地址:https://www.jetbrains.com/pycharm/download/download-thanks.html?platform=linux
将下载的安装包解压缩
$ tar -zxvf pycharm-professional-20**.*.*.tar.gz
启动 PyCharm:找到PyCharm/bin下的pycharm.sh
./pycharm.sh