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by latchkey 391 days ago
Reading your post now, half the article feels like it is just installing PyTorch. Next time, just use the pre-built docker containers. It is the recommended way and much easier.

https://rocm.docs.amd.com/projects/install-on-linux/en/lates...

Additionally, our MI300x VMs/machines come with ROCm installed and configured already. We also apply all the default recommended BIOS settings as well.
1 comments
anonymous_llama 391 days ago
Hey, I think the major issue was getting torch 2.7 working on a bare-metal installation as the app needed that and the pre-built docker containers aren't out yet for torch 2.7. Transformer Lab is also much more than just the Pytorch setup as it provides several plugins which can be used for training, evaluation, dataset generation (and much more!).

Also, the pre-built docker containers unfortunately do not work on WSL which caused the majority of the issues.

I'd love to hear if you had a different experience or if I'm mistaken in any of this!

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latchkey 391 days ago
No, this is great feedback. I don't think you're mistaken. It is actually curious to me why PyTorch 2.7 isn't available yet, it should be! I'll pass that feedback up to AMD.

As for WSL, that kind of makes sense, since they just added Windows support to ROCm and that is probably a work in progress.

https://videocardz.com/newz/amd-pledges-rocm-support-for-win...

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