current versions: OS: Ubuntu 18.04 , Python: 3.6.8 , GCC: 7.3.0 , CUDA: 10.0 ,
(当前版本:OS:Ubuntu 18.04 ,Python: 3.6.8 ,GCC: 7.3.0 ,CUDA: 10.0 ,)
I was using tensorflow 2.0 well, but accidentally downgraded it to tensorflow 1.14.0.
(我很好地使用了tensorflow 2.0,但不小心将其降级为tensorflow 1.14.0。)
I entered 'conda install tensorflow-gpu' which i thought i was installing it in conda env., but instead, it was installed in the base environment. (我输入了'conda install tensorflow-gpu',我以为我是在conda env中安装它的,但是,它是安装在基本环境中的。)
When I check with 'pip list', I get: tensorboard 2.0.0 , tensorflow 1.14.0 , tensorflow-estimator 2.0.0 , tensorflow-gpu 2.0.0
(当我检查'pip list'时,我得到:tensorboard 2.0.0 ,tensorflow 1.14.0 ,tensorflow-estimator 2.0.0 ,tensorflow-gpu 2.0.0)
Is it mean I still have tensorflow-gpu 2.0 that I can use, and have tensorflow 1.14 additionally?
(这是否意味着我仍然可以使用tensorflow-gpu 2.0,并另外拥有tensorflow 1.14?)
Why is python detects tensorflow 1.14 instead of tensorflow-gpu 2.0 then? (为什么python然后检测tensorflow 1.14而不是tensorflow-gpu 2.0?)
In this case, can I just remove tensorflow 1.14 using 'uninstall tensorflow'? (在这种情况下,我可以使用'uninstall tensorflow'删除tensorflow 1.14吗?)
I'm using Linux as server computer and use it through ssh.
(我使用Linux作为服务器计算机,并通过ssh使用它。)
So i need to upgrade with command lines. (因此,我需要使用命令行进行升级。)
I'm very new to linux system and very confusing & exhausted now.. I'd highly appreciate for any help that could resolve my problem.
(我是linux系统的新手,现在非常困惑和精疲力竭。.对于可以解决我的问题的任何帮助,我深表感谢。)
Thanks in advance to all who can help.!!! (在此先感谢所有可以提供帮助的人!!!!)
ask by Heejs translate from so 与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…