Comments (6)
Well, there are various reasons why accepting remuneration would probably be complicated. So I shall avoid that.
What oculd be useful could be access to an AMD gpu occasionally. I cant say I really want to ssh into someone else's computer. but you could maybe install an os to usb key, and temporarily disable the hard drive in the bios or something, so that I could ssh into some pristine os, that you could rewipe afterwards, or at least simply unplug, and turn back on the harddrvei in the bios, and return to your normal os.
Thank you very much for your words of encouragement by the way. Very much appreciated :-)
from tf-coriander.
Hugh, I would be willing to do exactly that if you want. I have a Radeon HD 7950 and a Radeon HD 5850
from tf-coriander.
I have access to a Radeon on a Mac now. But... a question in my mind: what is the current status of the codeplay tensorflow? To what extent does it do what one needs? (If it already does what one needs, I might just leave them to handle that, seems no point in duplicating effort too much :-) )
from tf-coriander.
Well, right now it's married to a closed-source transpiler that is only supported on a particular flavour and version of Linux. So it's a pretty anaemic effort, in my opinion.
from tf-coriander.
Just bumping this to say; my interest in helping to financially support the development of Coriander remains strong.
More feedback on Codeplay's 'solution': It doesn't support cards like the R9 390, which was only released in 2015 and is hardly "old". There are lots of these cards available affordably thanks to the ongoing FLOPS war in cryptocurrency-land, and they can all be put to good use thanks to Coriander. I think this is very important work.
from tf-coriander.
More feedback on Codeplay's 'solution': It doesn't support cards like the R9 390, which was only released in 2015 and is hardly "old". There are lots of these cards available affordably thanks to the ongoing FLOPS war in cryptocurrency-land, and they can all be put to good use thanks to Coriander. I think this is very important work.
Awesome, thanks!
from tf-coriander.
Related Issues (20)
- r1.5 API support?
- Simple benchmark in CPU mode runs order of magnitude longer than in normal TF on Mac
- Problems with build on macOS Sierra HOT 9
- How can I build with updated TensorFlow version
- [Feature Request] CMake Build
- R9 M370X run slower than i7, something wrong?
- Splits above 64 not allowed HOT 1
- install on amd gpu error
- when support tf1.8
- Trying to build for windows 10 HOT 3
- Porting to Tensorflow r1.11 HOT 14
- MacOS, broken on "py.test -v"
- Bazel version build bugs Mac OS High Sierra 10.13.6 HOT 1
- coriander failed to generate opencl HOT 9
- CROSSTOOL setup differences between earlier or later of Bazel 0.17.1 HOT 1
- With Java 9 the rt.jar is gone, and this breaks the make...
- Question about CLBlast tuning and execution
- ModuleNotFoundError: No module named '_pywrap_tensorflow' HOT 2
- Cannot import Keras HOT 1
- couldn't understand the installation process HOT 2
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from tf-coriander.