I have a 5070TI, and I’m actually tired of trying to build libraries from source code, downloading a new nightly version every evening, and testing it with many other frameworks. I was hoping that version 2.9.0 stable would add this support, but unfortunately, it hasn’t. I’m also still getting endless errors from all the other libraries at the same time. In this context, I would really like to know when full support for 50xx series graphics cards will be available.
PyTorch 2.7.0 already added Blackwell support on our PyTorch wheels built with CUDA 12.8 and nightly binaries were available even beforehand. There is no need to source build PyTorch and you can install any of our recent releases with CUDA 12.8+.
Yeah, you were right. I installed PyTorch Stable 2.9.0 (with CUDA 12.8), and the GPU was successfully detected
However, when I tried to test XTTS, a new problem arose. It requires torchcodec, but as far as I understand, its latest version, torchcodec 0.7, is not compatible with PyTorch 2.9.0
Do I need to install version 2.8.0?
The latest torchcodec release is 0.8 as seen here which is compatible with the latest torch==2.9.0 release as described here.
Now I see. It turns out that torchcodec was updated to 0.8 yesterday, but I saw the repository before the updated version 0.8. I will try the new version of torchcodec now.
Edited: Yes. It’s really working now. All I had to do was wait for the torchcodec repository to be updated. Thanks for your help!
That’s great to hear! Let us know in case you have any other questions or unexpected issues.
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I would recommend to be extremely careful when downloading unverified binaries from unknown sources for obvious reasons. Our nightly binaries already support all Blackwell architectures.