CUDA version

[rimorob]

I've just installed CUDA 12.6 on a fresh system. Turns out, R Torch only supports 11.7/.8 for now. Are there any near-term plans to extend support to newer CUDA versions, or should I downgrade CUDA if I'm planning to use R Torch?

[dmkaplan2000]

I have this same problem.

[LuisLauM]

Is it possible to force torch to use an existing CUDA-Pytorch installation on Linux (Ubuntu)?

[cregouby]

Hello @rimorob,

When you choose cuda 12.6, it means you can neither install pytorch according to https://github.com/pytorch/pytorch/blob/main/RELEASE.md#release-compatibility-matrix nor R {torch}
When you choose cuda 12.4, you have one pytorch version supported (2.5) that has not been patched yet and a second one with experimental support
When you choose cuda 11.8, you can choose pytorch version from 2.1 to 2.5, many associated cudnn versions and {torch} v 0.13.0 available on CRAN.

So I would recommend the cuda version to be the result of what you want to run on your GPU, not the other way round.

That said, {torch} do try to follow the cuda version as best as possible, but there is no plan, there is only spare time, your support and your warmly welcome contributions !

[dfalbel]

I heavily recommend using the pre-built binaries from:

https://torch.mlverse.org/docs/articles/installation#pre-built

The pre-built binaries bundle the necessary CUDA and cudnn versions, so you don't need a global compatible system version of CUDA.