Kata-MiniGo: Load and run KataGo's TensorFlow weights with MiniGo GTP

Playing Against Kata-MiniGo

Download the latest KataGo TF model at https://katagotraining.org/networks/

# Latest model should look like: /path/to/models/kata1-b40c256-sxxx-dxxx/saved_model/
LATEST_MODEL=/path/to/models/kata1-b40c256-sxxx-dxxx/saved_model/
READOUTS=1600
python kata_gtp.py --save_dir=$LATEST_MODEL --num_readouts=$READOUTS --verbose=3 --name_scope=swa_model

After some loading messages, it will display GTP engine ready, at which point it can receive commands. GTP cheatsheet:

genmove [color]             # Asks the engine to generate a move for a side
play [color] [coordinate]   # Tells the engine that a move should be played for `color` at `coordinate`
showboard                   # Asks the engine to print the board.

One way to play via GTP is to use gogui-display (which implements a UI that speaks GTP.) You can download the gogui set of tools at http://gogui.sourceforge.net/. See also documentation on interesting ways to use GTP.

gogui-twogtp -black 'python3 gtp.py --save_dir=$LATEST_MODEL --name_scope=swa_model' -white 'gogui-display' -size 19 -komi 7.5 -verbose -auto

Another way to play via GTP is to watch it play against GnuGo, while spectating the games:

BLACK="gnugo --mode gtp"
WHITE="python3 gtp.py --load_file=$LATEST_MODEL"
TWOGTP="gogui-twogtp -black \"$BLACK\" -white \"$WHITE\" -games 10 \
  -size 19 -alternate -sgffile gnugo"
gogui -size 19 -program "$TWOGTP" -computer-both -auto

Running Minigo on a Kubernetes Cluster

See more at cluster/README.md