链接库设置_Ubuntu下conda权限问题以及cuda动态链接库问题

问题1：Anaconda的使用权限

$ conda update conda
Solving environment: failed
NotWritableError: The current user does not have write permissions to a required path.
path: /path/to/custom/dir/pkgs/urls.txt
uid: 1000
gid: 1000

使用如下命令：sudo chown -R user anaconda3

问题2：cuda动态链接库设置

在使用cuda时，出现如下错误：

ImportError: libcublas.so.9.0: cannot open shared object file: No such file or directory

I have find the reason is ldconf, ldconfig is a dynamic link library management command whose purpose is to allow the dynamic link library to be usedby the system.

The default ldconf only search /lib and /usr/lib, as well as the library file under the directory listed in the configuration file /etc/ld. so. conf.

so all of this is caused by the dynamic library of CUDA in the installed CUDA path such as : /path/cuda-9.0/lib64 or /path/cuda-9.0/lib. (for example my CUDA is installed in /usr/local/cuda-9.0)

1.if you install the CUDA manual, then after install, you should add the path of cuda/lib64 to /etc/ld.so.conf filesudo echo "/usr/local/cuda-9.0/lib64/" >> /etc/ld.so.conf
thensudo ldconfig
of course , you can add the path manual, like:vim /etc/ld.so.conf
then add the path '/usr/local/cuda-9.0' at the end.
then update itsudo ldconfig
after the operation, reopen the ipython or pycharm ,import tensorflow as tf
wow, you will enjoy it!

if you install the CUDA by command such as 'dpkg -i cuda-repo-ubuntu1604_9.0.176-1_amd64.deb' or others, it may add the cuda lib path to the /etc/ld.so.conf automatically . but to be on the safe side, check the /etc/ld.so.conf and see if the path add to it .