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  • Jan 06 2018 13:36

    ujh on refactorings

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  • Jan 06 2018 13:36

    ujh on master

    Remove code to keep track of de… Don't simulate more than 10 thr… Merge pull request #327 from uj… and 8 more (compare)

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    Note performance in changelog (compare)

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iopq
@iopq
I think cargo is smart about those, I had to put the .so file in my lib64 folder for it to work out of gogui
but I did genmove and it's taking infinity time to finish
Urban Hafner
@ujh
Yes, it's horribly slow.
And I'm not even sure that it's correct. 😜
iopq
@iopq
aren't you only supposed to do it on the root nodes
it's been 5 minutes since I asked for a genmove on a 19x19
Urban Hafner
@ujh
Yes, I will try that next. But I also want to figure out if I'm even getting the right data from the NN.
But it's all just a prototype to see if something like this can work.
iopq
@iopq
well since I can't get it to give me ANY move I can't tell if it works
Urban Hafner
@ujh
That is really odd though.
iopq
@iopq
it's been 12 minutes since I asked for a genmove
Urban Hafner
@ujh
On my machine it actually respects the time limits. Really odd.
iopq
@iopq
it's running in a VM
iopq
@iopq
it's been 40 minutes, I'm starting to think I'm never getting a move
I recompiled it to use the files from the same folder
iopq
@iopq
I'm still not getting a move back even with the latest version
Urban Hafner
@ujh
That’s weird. Sorry about that. But this will never be merged into master anyway. The NN I used is only useful for 19x19, caffe is really slow and the Rust caffe bindings are a giant hack anyway. What I’m trying here is just to get a sense of the tradeoffs involved.
I just read the Facebook darkforest paper and it seems that implementing something like that from scratch seems more useful. At least I will know how the NN actually behaves then. But I guess that’s a job that will take a few months. So maybe implementing easier stuff (like the large patterns from michi) first would be better.
iopq
@iopq
that's strange because NN with no search should easily beat gnugo
on a 19x19 board
Urban Hafner
@ujh
Yes, it's all very weird. Maybe it's the particular NN? It only has a 44% prediction rate. Or maybe I'm just using it wrong?
Oh well, I wanted to learn how to train my own net anyway. 😁
iopq
@iopq
I mean, does it play like this? https://chrisc36.github.io/deep-go/
Urban Hafner
@ujh
I was going to read that paper next. :)
Urban Hafner
@ujh
But I'll have a look at the Michi large patterns first. Maybe I can get that done before the next tournament.