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Is OpenCL anywhere on the roadmap? I now make laptop and desktop purchasing decisions almost entirely on Nvidia card presence. One reason I didn't get the latest MacBook Pro.


It's on the page titled "Roadmap", so ... yes?

https://github.com/tensorflow/tensorflow/blob/master/tensorf...


AMD is so woefully behind the curve in gpgpu and especially deep learning that their management should be replaced. They think they're still competing with Intel (they're not). Nvidia has a wide open field for the foreseeable future and this will end up being a bad thing for consumers.


Couldn't agree more. They need to diversify and really push gpu compute and openCL. Where's the equivalent of CuDNN for openCL? How many AMD engineers would it take it build that and what would the impact be?


I don't think Google is working on it. Intel and AMD have some comments on the relevant issue[1].

As far as I can see there seems to be a lot of noise ("How do I run Caffe on OpenCL") and not huge amounts of progress.

The truth is that you are better off waiting for external NVidia GPUs[2] to become widely available[3] than waiting for a decent OpenCL implementation.

[1] https://github.com/tensorflow/tensorflow/issues/22

[2] http://udibr.github.io/using-external-gtx-980-with-macbook-p...

[3] http://www.pcworld.com/article/3019369/hardware/the-razer-co...


the openCL branch of caffe has had a lot of work recently and is usable now. Still a bit slower than with CUDA/CuDNN but works

https://github.com/BVLC/caffe/tree/opencl




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