Junyan Xu

[lz13.zip](https://github.com/ihavnoid/leelaz-ninenine/files/2799790/lz13.zip)

Note that major computer Go competitions as well as CGOS uses 7.0 komi for 9x9 games, so it must be empirically clear that the fair komi is 7.0. As hzy...

latest is 158s I think Is 152s 30b?

If you'd like to use one of my branches I'd recommend the branch https://github.com/alreadydone/lz/tree/komi+tensorbatch#dynamic-komi, together with networks like OZ13/14, GX37 or GX89, trained by @pangafu and available at https://github.com/pangafu/LeelaMasterWeight#leela-master-weight. Unfortunately,...

Yeah some compilers can't deal with this. I suggest changing `backup_queue={};` to `while(!backup_queue.empty()) { backup_queue.pop(); }` in both `think()` and `ponder()`. Not sure if this is less efficient or not.

I think the error indicates you need `#include in OpenCL.h. People compiled successfully on Ubuntu before; gcc 8.1.0 seems to be working.

Thank you for testing! There definitely remains work to be done. Can you tell me what GPUs you have, what other branches (gcp/next, ihavnoid/batch-full, ihavnoid/tensorcore, or else?) you are comparing...

You may now try https://github.com/alreadydone/lz/tree/tensor-accum-dev+. Tested on Google Cloud: 15270 pos/s with 4xV100, 256x19 net, and command `./leelaz -w ../../990.gz --batchsize 12 --gpu 0 --gpu 1 --gpu 2 --gpu 3...

A bug has been fixed in the tensor-accum-dev+ approach. An experimental branch that gradually push policy towards uniform as visits increase to widen the search and help finding blind spots...

+ The uniform branch defaults --uniform-visits to 1,000,000. If you want to recover original search behavior, use for example `--uniform-visits 10000000000000`. + I haven't observed tengen being played on the...