3.参数
leelaz.exe -g -t 4 -w leelaz-model-128000.txt -p 90000 –noponder -b 500
leelaz.exe -g -t 4 -w leelaz-model-128000.txt
含义：
–heatmap 代表显示下一步棋可能选点的热图。如果你不希望显示热图，可以去掉该参数。
–playouts 大致可以理解成演算的深度，数字越低则AI的水平也较低，需要配合noponder参数一起使用。
–noponder 代表不占用对手的时间进行思考。
Leela Zero的配置方法与Leela相似（其中的参数“-t 6”表示使用CPU的6线程；“-w 2b80a9db.txt”表示调用名字为“2b80a9db.txt”的权重文件；“–noponder”表示对手时间内不思考）：
Generic options:
-h [ --help ] Show commandline options.
-g [ --gtp ] Enable GTP mode.
-t [ --threads ] arg (=0) Number of threads to use. Select 0 to
let leela-zero pick a reasonable
default.
-p [ --playouts ] arg Weaken engine by limiting the number of
playouts. Requires --noponder.
-v [ --visits ] arg Weaken engine by limiting the number of
visits.
-b [ --lagbuffer ] arg (=100) Safety margin for time usage in
centiseconds.
-r [ --resignpct ] arg (=-1) Resign when winrate is less than x%.
-1 uses 10% but scales for handicap.
-w [ --weights ] arg (=D:\Leela Zero\iGORobot\iGORobot\iGORobot\best-network)
File with network weights.
-l [ --logfile ] arg File to log input/output to.
-q [ --quiet ] Disable all diagnostic output.
--timemanage arg (=auto) [auto|on|off|fast|no_pruning] Enable
time management features.
auto = no_pruning when using -n,
otherwise on.
on = Cut off search when the best move
can't change, but use full time if
moving faster doesn't save time.
fast = Same as on but always plays
faster.
no_pruning = For self play training
--noponder Disable thinking on opponent's time.
--benchmark Test network and exit. Default args:
-v3200 --noponder -m0 -t1 -s1.
--cpu-only Use CPU-only implementation and do not
use OpenCL device(s).
OpenCL device options:
--gpu arg ID of the OpenCL device(s) to use
(disables autodetection).
--full-tuner Try harder to find an optimal OpenCL
tuning.
--tune-only Tune OpenCL only and then exit.
--batchsize arg (=0) Max batch size. Select 0 to let
leela-zero pick a reasonable default.
--precision arg Floating-point precision
(single/half/auto).
Default is to auto which automatically
determines which one to use.
Self-play options:
-n [ --noise ] Enable policy network randomization.
-s [ --seed ] arg Random number generation seed.
-d [ --dumbpass ] Don't use heuristics for smarter
passing.
-m [ --randomcnt ] arg (=0) Play more randomly the first x moves.
--randomvisits arg (=1) Don't play random moves if they have <=
x visits.
--randomtemp arg (=1) Temperature to use for random move
selection.
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