I had the following setup: os: xubuntu 18. Try 'apt --fix-broken install' with no packages or specify a solution Running that results in the same error. If you've made it past this point, the rest should be a breeze! It will ask you a bunch of questions, and it will want them answered immediately. First, let's upgrade it to the latest version: When it's done make note of the output, focusing on the regions as highlighted in the image below. You'll need to replace and with their appropriate values.
Anyone knows how to solve it? Once inside our virtual python environment, we'll be using the python package manager pip to install new python packages. For my first trial, i I've logged to nvidia, and i download cuda v7. There are quite a few ways to do this, so feel free to use whatever method you want or do what I do: If you followed my way, we created our virtual environment in a directory called dl4cv which you could have named whatever you want. But obviously it's best to switch back to the nvidia one for more exigent games. If you find a solution I would love to update this gist file with instructions of how to do so.
I don't know why it does this, but it happened. This is standard practice since it separates our own python libraries from the system level ones and also helps us stay organized. The tee command splits what is fed to it between the given file and the terminal output so we can see what it is doing. Also the nvidia documentation will tell you what to export. So I had to install 396.
Answer yes to the unsupported confguration. This guide will essentially adapt existing guides for 16. I've tried to install using. This directory itself is located in the venv directory in your home directory. Done The following packages were automatically installed and are no longer required: augeas-lenses cpu-checker cryptsetup cryptsetup-bin db-util db5.
I have reached out Tensorflow community to correct this. Done Building dependency tree Reading state information. So I freshly installed Ubuntu and followed the guide The key point was to install recommended Nvidia driver, in my case it was 390. If not, we will install it in Step 2. If you get a bunch of display error messages, or can't see anything, drop to a virtual console by hitting Ctrl + Alt + F1. Required sudo apt install g++-6 sudo apt install gcc-6 You can try using nvidia-cuda-toolkit, but the paths to the libraries wasn't familiar to me. Hi, Thank you for the post.
At the time of posting this the nvidia-396 package is version 396. Most likely you'll have problems with previously installed graphical driver called Nouveau. I haven't tried but I think it would be very helpful, using the graphic card all the time drains the battery way too fast. There was a very good tutorial , which is why I installed the packages in step 8 above, but the runfile gives exactly the same error. Have you tried getting optimus technology work on msi in ubuntu? I was struggling to get linux working on my msi laptop. It's a minor issue while not using the nvidia graphics cards. However, I should modify default gcc, g++, and use.
A driver of version at least 384. If all goes well you will not have an installation error. If you do not it will install 9. Have you tried getting optimus technology work on msi in ubuntu? Yes- to the toolkit I used default install locations After that is installed then make sure you set up your paths. First get the ppa repository drivers.
This is free software; see the source for copying conditions. About battery drain, someone commented a few days ago I think the comment was removed : I have a bit another solution. If you want to play video games, this graphics card is still suitable for many of them. As of today nvidia driver 396 is available. Do you wish to continue? The vertical pipe character in the middle, indicates that we want that output to be fed into the other part of our command, in this case tee. Can you also confirm that nvidia drivers make graphic card working fine at its full capabilities? As I got older, technology became my building blocks.