Closed ExpandingMan closed 1 year ago
thanks for your work on this, I look forward to seeing this. will add a significant impact on my project, thanks!
@ExpandingMan : hey mate, thanks for your help with this. did you get a chance to make progress with this? this will be of tremendous help to my project
thanks Roh
I have not, but I also have not forgotten about it.
The part of this with the most question marks in my mind is how exactly to setup the xgboost_jll
which I'm going to have to figure out to some extent before I even attempt to make a wrapper. So if anyone wants to help this along getting the xgboost_jll
updated to include GPU support and automatically use that build when nvidia cards are present would be best way to do that.
ahh ok, sorry, not my area of expertise or even knowhow. thanks for your help in this, ta!
Full GPU support is now available in v2.2.0
(https://github.com/dmlc/XGBoost.jl/pull/142).
Full GPU support is now available in
v2.2.0
(#142).
this is awesome! thanks a lot @tylerjthomas9 and everyone else who helped.
[Edit] this is awesome! thanks a lot to @ExpandingMan and @tylerjthomas9 and everyone else who helped.
this is awesome! thanks a lot @tylerjthomas9 and everyone else who helped.
@ExpandingMan is the primary person behind all the recent improvements to XGBoost.jl
Forgive the mutual admiration society, but by far the hardest part of doing this was updating the XGBoost_jll
to properly handle CUDA dependencies which was done by @tylerjthomas9 . The wrapper part was, fortunately quite easy, thanks in part to the very easy to use CUDA.jl.
So yes, I think this wrapper with GPU support is a nice success story for the Julia wrapping and packaging ecosystem :smile:
The following needs to be done for this wrapper to get GPU support. From the C API docs it looks like this would mean only nvidia as I think it necessarily relies on CUDA.
xgboost_jll
. I really have no idea how to do this for GPU targets, so that'll take some figuring out. If anybody is good with BinaryBuilder and wants to help with that it would be much appreciated, as this is the step that would likely take me personally the vast majority of the effort.using CUDA
works fine on machines without an nvidia GPU.