Life In 19x19

How can I check performance, for example, visits or n/s? interesting to compare OpenCL and cuda

Unsure if there is a way. I benchmarked by bringing up a complex middlegame position in Sabaki for each engine and then literally timing playouts per second using a stopwatch. You can set a large ...

That's definitely pretty strange. I have noticed that on low playouts certain versions of LZ seemed to assume ladders work, but never realized there was a pattern. I've been really liking KataGo 1.1 for analysis, since I end up playing handicap games a lot on kgs.

This Shin Jinseo game illustrates a situation in which KataGo arrives at the correct positional evaluation very quickly compared to pure zero bots, such as LZ.

http://www.go4go.net/go/games/sgfview/84421

On Reddit (https://www.reddit.com/r/baduk/comments/cdmmtc/comment/eu0xgjz) uberdude shows that ...

I have recently been looking at Zhou's book on using AlphaGo's large corner enclosures. Seems to me you might want to check it out. Zhou indicates that black doesn't really have a great local response to the white approach, and it's better to tenuki or pincer as somebody else already mentioned.

I ...

My RTX 2060 is about 2.5 to 3x faster per playout than my old GTX 1060 6gb on Leela Zero. Furthermore, the power consumption is similar. For neural networks I believe it is worth the price, but ymmv.

Here is an example of a fascinating game between LZ and KataGo I played out tonight in Sabaki while working out. Hey, gotta watch something, right? It's like baduk TV!

The hardware was :
AMD Ryzen 2600x
NVIDIA RTX 2060

The settings were as follows:

KataGo 1.1
C:\KataGo\main.exe
gtp -model C ...

I want to try analysis of the game with more playouts. I find in my own games that analysis on the order of 25-50k playouts finds very different sequences due to it's more accurate reading. For example, I've noticed it can calculate long capturing races that are missed with lower playout counts. I ...

I have decided to sell off these really nice bowls from Tokyo, because I ended up selling the slate and shell set they were intended for. They are new and unused, only coming out of the box twice since I bought them.

I put up a buy-it-now (or best offer) auction on Ebay since nobody here knows me ...

Could you please show me the command option for batching? It seems that Sabaki always choose batch size 1 by default, while the autogtp chooses something different.

If you use Leela Zero engine version 0.17 it should choose the optimal thread and batch size for your hardware by default. Note that ...

NBC, if you're using visit parity you shouldn't use ponder. The time to reach that number of visits varies by position. Time parity matches can use ponder on separate hardware though, similar to how Alphago was tested.
Why not? I'm using separate GPU for each net.

Think about what you are trying ...

And wrote:What is the 15b strongest network? edb61bc2, 0a963117 or another?

There was a GitHub thread about a 15b trained on 40b awhile back. Unsure if anyone is still doing it.

https://github.com/leela-zero/leela-zero/issues/2192

NBC, if you're using visit parity you shouldn't use ponder. The time to reach that number of visits varies by position. Time parity matches can use ponder on separate hardware though, similar to how Alphago was tested.

There's a thread on GitHub with a visit "parity" (1600 vs 3200) match between ...

My suspicion is that time parity might be correct with two entirely separate machines, with the same hardware, and using ponder. Basically what seems to have done in the AlphaZero paper? If I recall they used 90 mins main time and 15s/move byo-yomi. I'm not as sure about doing it on a single machine ...

It might provoke an interesting discussion - the folks on GitHub don't feel the time parity matches are a good measure of engine strength, but rather visits. I don't claim to totally understand the reasoning but it might be worth looking into.

If anybody hasn't used their free $300 from Google Cloud and feels like doing some deep learning, I recently set it up and it's quite easy to do.

See this github thread for an updated guide. Note that the Microsoft Azure guide currently doesn't work with LeelaZero 0.17, but I'm trying to figure out ...