最近在物理机上装了Ubuntu20.4，并成功弄好了nvidia-driver435 + cuda10.0 + cudnn v7.6.5 for cuda10.0
一、更换apt源和pip源
1. apt: 配置文件在 /etc/apt/sources.list中(直接去阿里巴巴镜像站https://developer.aliyun.com/mirror/)
deb http://mirrors.aliyun.com/ubuntu/ focal main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ focal main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ focal-security main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ focal-security main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ focal-updates main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ focal-updates main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ focal-proposed main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ focal-proposed main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ focal-backports main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ focal-backports main restricted universe multiverse
2. pip源
阿里巴巴镜像站https://developer.aliyun.com/mirror/pypi?spm=a2c6h.13651102.0.0.3e221b11uGZHjw
二、桌面美化gnome
三、安装qq微信
见这篇文章https://github.com/zq1997/deepin-wine
四、cuda 和 cuddn的安装
见这篇文https://blog.csdn.net/ashome123/article/details/105822040
最后注意：版本一定要对应
在运行过程中可能会报错
1. 找不到文件，或者不能打开文件libcuddn.so.10.1等等，这类问题，只需建立软链接即可 sudo ln -s libcuddn.so.10 libcuddn.so.10.1(注意这里的软链接一定要建立在这个文件被引用的地方，报错中会指明，或者是tensorflow的lib模块中，具体问题具体分析）2. 提示out of memory，1. 将显存获取改为动态获取（见以下代码）；2. 将batch_size调小
gpus = tf.config.experimental.list_physical_devices('GPU')
if gpus:
try:
# Currently, memory growth needs to be the same across GPUs
for gpu in gpus:
tf.config.experimental.set_memory_growth(gpu, True)
logical_gpus = tf.config.experimental.list_logical_devices('GPU')
print(len(gpus), "Physical GPUs,", len(logical_gpus), "Logical GPUs")
except RuntimeError as e:
# Memory growth must be set before GPUs have been initialized
print(e)
五、注意
不要随便rm，以免系统崩溃linux卸载软件有指定的命令的，不能随便删（多读readme.md）
