no score estimation?

[QAbot-zh]

I follow the step as:

To use LizGoban with Leela Zero:

    Install Node.js v12 or later.
    Type git clone https://github.com/kaorahi/lizgoban; cd lizgoban; npm install on a terminal.
    Put Leela Zero binary (version 0.17 or later) as external/leelaz together with its network weight as external/network.gz.
    Type npm start. (Windows: Double-click lizgoban_windows.vbs.)

Use npm start -- --no-sandbox if you get an error like "The SUID sandbox helper binary was found, but is not configured correctly" and you do not want to fix it.

the external folder struct like this : . ├── e6e2e99bb732ae8e90aaa4f4ccc606ae5d38cd22f74681b11bea2b8a7ef3c3ae.gz ├── leela0110.rb ├── leelaz ├── network.gz └── README.txt

the leelaz(binary file) is compiled from https://github.com/leela-zero/leela-zero, the network.gz file is renamed by e6e2e99bb732ae8e90aaa4f4ccc606ae5d38cd22f74681b11bea2b8a7ef3c3ae.gz which is downloaded from leela-zero. But I can't get the ai analysis?

[kaorahi]

"waiting..." in the title bar suggests that lizgoban failed to detect initialization of the engine. When you start lizgoban, it executes cd external; leelaz -g -w network.gz internally and waits for the response Detecting residual layers.... So would you show the result of the following commands? (I assume Linux.)

cd external
./leelaz -g -w network.gz
(Hit ctrl-c after the initialization messages.)

my case:

$ cd external
$ ./leelaz -g -w network.gz
Using 8 thread(s).
RNG seed: 1026807630405287754
BLAS Core: built-in Eigen 3.3.7 library.
Detecting residual layers...v1...192 channels...15 blocks.
Initializing CPU-only evaluation.
Setting max tree size to 4324 MiB and cache size to 480 MiB.
^C
$ 

[QAbot-zh]

Thanks for your instant reply. The information shows me that my computer lack of OpenCL device (maybe my Leela bin is compiled by myself, so it's different from your CPU-only version). Luckily, it runs normally after I install the Nvidia OpenCL driver. Thank you so much!

[kaorahi]

seems ok :)