Submitted by LW_Master t3_zo0n2u in deeplearning
So I've found PlaidML, basically helped the keras user to be able to use their GPU without CUDA afaik. Is this means we don't need to rely fully to Nvidia for deep learning anymore?
Comments
LW_Master OP t1_j0kz2z8 wrote
I think you are in the wrong subreddit..
Present-Ad-8531 t1_j0kz9qg wrote
Damn. I answered a question right above this here by mistake. I apologise.
Btw, if what you’ve said is true, then we can run DL in AMD also. MacBooks can also be used in training. It’s a giant leap no?
LW_Master OP t1_j0kzr4y wrote
Yeah, looking at some forums talking about it (and I have tested their benchmark myself in RX 5600XT) it is doable. But the question is why no one literally talking or hyping about it? This thing exist since 2017 iirc...
Present-Ad-8531 t1_j0kzwpn wrote
Wow. It’s great that it works. Can you send some links here? It’s peculiar how it’s not known.
LW_Master OP t1_j0l06bq wrote
https://plaidml.github.io/plaidml/ Tips by my experience, uninstall tensorflow if you already have one but keep the keras. Somehow plaidml don't want to run if tensorflow already there. It should work whether you have tensorflow or not but I found it's the otherwise
Edit: if you have any progress to it please tell me about the experience.
LW_Master OP t1_j0lkdbz wrote
Last time I check the github there is an update early 2022 iirc, hopefully someone revive it again since it's the only way so far for non-Nvidia user can use gpu power for deep learning. If only recent generation nvidia isn't that expensive... Is there any news for ROCm in consumer AMD gpu (the rx 6000 series and the like)?
botfiddler t1_j0ll3rr wrote
How difficult is it, compared to using a Nvidia GPU? I know AMD can be used, but the claim is that it is extra work and a lot of programs in the field are focused on Nvidia or require such GPUs.
LW_Master OP t1_j0llruo wrote
Last time I used it the step is just "Choose your engine", in the command line plaidml first detect the drivers, then you choose which driver you want to use, after that the system will run according to your preferences. (This is reference to use plaidml btw, for using amd outside plaidml I heard you use ROCm but it's locked to enterprise grade gpu afaik)
But yeah, cuda literally just install tensorflow cuda and you're good to go (I think, I never do it myself since I only have laptop version of 1050 and my family's PC use Radeon)...
CUTLER_69000 t1_j0omgie wrote
Pytorch has amd support, not sure which versions it supports
[deleted] t1_j0kwxqg wrote
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