Yes! It is really a naïve parallel operation, that's why I tried to do this
with OpenMP. (I've used OpenMP with great success in other projects).
I guess your suggestion is actually more pragmatic and doesn't need any
more coding. I'll try that. Thanks.
-Øystein
On Mon, Jun 17, 2019 at 9:33 AM
And don't use OSR. This was good for bootstrapping in the old days, when
CPU was much slower.
On Mon, 17 Jun 2019 at 19:33, Joseph Heled wrote:
> You have many independent runs, right? Why worry about multi-threading?
> Divide the set into (say) 16 threads (or whatever makes sense for your CPU)
You have many independent runs, right? Why worry about multi-threading?
Divide the set into (say) 16 threads (or whatever makes sense for your CPU)
and run each set on another thread.
-Joseph
On Mon, 17 Jun 2019 at 19:28, Øystein Schønning-Johansen
wrote:
> Thanks for your input. I'm still
Thanks for your input. I'm still thinking about this.
I really cannot decide which rollout code to use. :-)
- sagnubg is really good but I have to tweak it a bit to make it work. I'm
also not sure it is multi-threading.
- GNU Backgammon, for sure it is good, but I probably have to build some
On Mon, Jun 10, 2019 at 02:49:26PM +0200, Øystein Schønning-Johansen wrote:
> I will try re-rolling out these positions. Do you have any experience of
> how to do good rollouts of race positions? Good rollout settings for race
> positions?
When I re-rolled out the benchmarks I mostly used the
Thanks,
I will try re-rolling out these positions. Do you have any experience of
how to do good rollouts of race positions? Good rollout settings for race
positions?
-Øystein
On Sun, Jun 9, 2019 at 11:38 PM Philippe Michel
wrote:
> On Fri, Jun 07, 2019 at 08:30:10PM +0200, Øystein
On Fri, Jun 07, 2019 at 08:30:10PM +0200, Øystein Schønning-Johansen wrote:
> (Of course I remove any position duplicated in the two datasets, such that
> the training and validation set are disjoint.)
Is it really important (in general) ? I know one shouldn't use the same
dataset but is some
Hi, all!
Out of curiosity I've just started to look into the race datasets. I notice
something really strange.
I take all the positions from
http://files.gnubg.com/media/nn-training/pmichel/training_data/race-train-data.bz2
and from this I create a dataset for training.
Then I take all
