Any idea why AMDs fork[0] hasn't been merged yet?

0: https://github.com/ROCmSoftwarePlatform/hiptensorflow

There is some discussion on it here:

https://github.com/tensorflow/tensorflow/issues/22

While that thread mentions the HIP port at some point, it's really about the OpenCL port.

1.6.0 does not appear to be installable via pip yet, though. (you can install tensorflow==1.6.0rc1 if you really want it now)

The inclusion of AVX instructions should give model training a notable speed boost at lower numbers of CPUs.

Looks like it's on pypi now https://pypi.python.org/pypi/tensorflow-gpu

I thought the plan was to have common code for the generic, non-critical parts like graph handling, while operators would be shipped in multiple variants, keyed and loaded at runtime by CPUID. You can even delegate that to glibc if they are packaged as shared libraries and it's a recent enough version. Maybe in 1.7?

Do you have any evidence that the TF developers are going to do that?

I heard it from someone at Google at a public event, but there was no date attached to it. I should have asked.

Still no OpenCL support...

https://github.com/tensorflow/tensorflow/issues/22 from above

you're complaining about a free, open source project. your contributions are welcome

I get the sentiment, but how many people can just casually add OpenCL to Tensorflow? For a lot of people, even if talented programmers, they may not be able to do anything but ask and beg.

My webcam doesn’t work with Linux. Should I write a driver despite not knowing the kernel API, C, or how webcams even work?

I would be better off sponsoring development somehow — this is something I’ve wondered if it’s possible to do. Someone with the skills could be paid by me, and other affected users.

Asking nicely would help. Offering to pay someone to put in the work would be even better.

+1