I was installing CUDA toolkit and cuDNN for deep learning.
I downloaded the cuDNN libs, downloaded the CUDA toolkit and while installing the toolkit I get this,
And I never downloaded this, it's always been there.
Then I searched a bit about this and some guy said that we have to uninstall.
This is from my control panel,
So is it safe to uninstall these programs? And is this how to actually do it too?
It seems you previously installed higher versions of CUDA - maybe partially -
Try installing CUDA 11.4 instead.
Even if you want to use CUDA 11.2, uninstalling the above two components will not be a problem, as older versions will be installed instead.
Related
I've installed Nvidia CUDA toolkit on WSL2 Ubuntu following the specified instructions from the Windows site. I was wondering if installing the Nvidia toolkit on Windows 10 directly as well would cause any conflicts or override anything potentially for the WSL2 install?
I'll be using the two separate toolkits for two separate purposes (WSL2 for linux libraries requiring the linux toolkit, Windows for things such as VS NSight requiring the Windows toolkikt)
No, it won't be a problem and this is what you would have to do to use CUDA on the pure-windows side as well as on the WSL2 side.
Other expectations/requirements still apply. For example the CUDA toolkit versions installed in each location should be consistent with the GPU driver you have already installed.
Recently installed Cuda Toolkit 9.2 and without paying careful attention that Tensorflow only supports 9.x (which is a bummer). Tried a few times uninstalling it using "Programs and Features" but nothing seems to occur. Exploring NVIDIA developer community did do any good.
Does anyone have a success story on this?
I just installed the Cuda Tools (5.5) on a Mac and I cannot locate the NVBlas library. It's not where the docs suggest it should be. Anyone having the same issue or know where it is? Checked all the libs and it's no where to be found.
NVBLAS is available starting with CUDA 6.0, not CUDA 5.5.
I was planning on starting to use CUDA on a machine with Kubuntu 12.04 LTS and a Quadro card. I installed CUDA 5.5 using the .deb from here, and the installation seems to have gone fine. Then I built the CUDA samples, again everything went fine.
When I run the samples in sequence, however, some of them botch my display, and others simply crash my computer.
What causes the crash? How can I fix it?
I'll mention that my NVidia card is the only display adapter the machine has, but that shouldn't make CUDA crash and burn.
The problem was due to the X server using the FOSS nouveau drivers. These are known to conflict with NVidia's way of accessing the card. When I restarted X (actually, I restarted the machine), the samples did run and work properly.
Not all the samples are runnable if you just installed CUDA on a clean ubuntu system. Some of them require additional libraries, and some of them require particular CC versions.
You could read the CUDA sample document of those crashed samples for more information.
http://docs.nvidia.com/cuda/cuda-samples/index.html
I have a Dell XPS L502 with the Nvidia 525M graphics card. I am only interested in using the gpgpu capabilities of the card for now.
I installed Ubuntu 12.04 as a dual boot with the Windows 7 that came with the machine and followed several installation procedures for installing the CUDA driver and developer kit from Nvidia ( many re-installs of Ubuntu ). In all cases the display drops to 640x480 resolution. Best I can determine this has something to do with Optimus technology and Linux. I tried Bumblebee to no avail.
I really don't care about using the NVidia card to drive the display. Is there any way that I can just install the NVidia drivers so that a program can use the CUDA capabilities of the graphics card and I still get the full resolution on the display?
I had a similar issue with my Alienware M11xR2, and posted the solution on the NVIDIA Forums. Unfortunately the forums are down at the moment but essentially the process is as follows:
Install the Nvidia Drivers, but when prompted to modify your X11 Config, select 'No'. This is because the Nvidia card cannot be used as a display device.
Install the CUDA SDK and run one of the samples as root. I found this to be a necessary step. After this you should be able to execute further CUDA programs as a normal user.
Hope that helps.
With the new release of CUDA 5 the, comes the installation guide, there you have just one file that installs drivers, toolkit and sdk (even nvidia nsight). And one thing that got my attention is that you also have optimus options in the installation process.
I also have and Alienware M14x, and i understand your problem, but i also wanted the drivers to work for me, so i didn't try too hard on that.
Maybe you could give that a try and comment with the rest of us.
Here you can look for the CUDA 5 release candidate: CUDA 5
and here is the installation guide (maybe give this a read first): CUDA 5 Starting Guide for Linux.