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i think most people would just use TF/PyTorch and ignore the specific technology on the backend. not much GPU specific stuff to learn -- very, very few deep lea
by currymj 6y ago
i think most people would just use TF/PyTorch and ignore the specific technology on the backend. not much GPU specific stuff to learn -- very, very few deep learning people write their own CUDA code.
so the question is just -- when will it be very simple to install these packages for AMD GPUs, with enough mathematical operations implemented and optimized to let you do the things you want to do.
right now things sort of work, but it's definitely in a bleeding edge early adopter state. it's seemed like AMD is on the cusp of catching up for a couple years now, but it's taken longer than I expected.
- jjoonathan 6y ago> very few deep learning people write their own CUDA code. True, but even once TF/PyTorch support AMD well it's highly possible that an unanticipated CUDA dependency will pop up in one's computational journey. NVidia subsidized CUDA seminars for a decade and now it's all over the place, both in the flagship frameworks and in the nooks and crannies.