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0 pointsPhilpax9mo ago0 comments

Hence the "if" :-)

ROCm is getting some adoption, especially as some of the world's largest public supercomputers have AMD GPUs.

Some of this is also being solved by working at a different abstraction layer; you can sometimes be ignorant to the hardware you're running on with PyTorch. It's still leaky, but it's something.

0 comments

Q6T46nT668w6i3m9mo ago

Look at the state of PyTorch’s CI pipelines and you’ll immediately see that ROCm is a nightmare. Especially nowadays when TPU and MPS, while missing features, rarely create cascading failures throughout the stack.

physicsguy9mo ago

I still don't see ROCm as that serious a threat, they're still a long way behind in library support.

I used to use ROCFFT as an example, it was missing core functionality that cuFFT has had since like 2008. It looks like they've finally caught up now, but that's one library among many.

j459mo ago

Waiting just adds more dust to the skills pile.

Programming languages are groups of syntax.

j / k navigate · click thread line to collapse