About CUDA version compatibility

[ahmetakman]

Objective of issue: I have been trying to make a clear installation to my another newly set up Ubuntu computer . Since it is CUDA enabled I have been trying to install CUDA by 'sudo apt install nvidia-cuda-toolkit' however this command installed my computer CUDA version 10.1 . Which then caused bunch of errors installing 'lava-dl' . The 10.1 version can cause some incompatibility issues because of PyTorch requirement. So it would be better to add the requirements the CUDA version compatibility since installer does not check automatically.

All the best,

Lava DL version:

• 0.3.0 (feature release)
• 0.2.1 (bug fixes)
• 0.2.0 (current version)
• 0.1.2

Lava version:

• 0.4.0 (feature release)
• 0.3.1 (bug fixes)
• 0.3.0 (current version)
• 0.2.0
• 0.1.2

I'm submitting a ...

• bug report
• feature request
• documentation request

[bamsumit]

Hi @ahmetakman , cuda version compatibility depends on the actual hardware and nvidia drivers you have installed in your system. So it can't be generalized in the requirements. For your specific case, I would uninstall torch

pip uninstall torch

and install it from the command set from with your cuda version, OS and package combination pytorch.org

[ahmetakman]

The thing I am mentioning about requirements lava-dl requirement is torch 1.8.1 which constrains the CUDA version options. I am trying to figure out what might be the problem right now which is probably also about the #55 . I am installing different cuda and driver versions with different torch versions.