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There is no live link for the games in progress.

If you look on CCRL blitz you may find answers to your questions. 40/40 (40/15) has CPU games but not yet GPU although they are running as I speak.

Oh my god. Another „is LC0 stronger then Stockfish“ debate. Yes, and then the endless arguments as to whether the hardware is "equal" in any given match. Just my opinion, but I think it is an impossibility to say any sort of GPU and CPU hardware are "equal" performance wise. Such radically differen...

For what it's worth, CEGT also has SF on top (and these are 1 CPU results) http://www.cegt.net/40_4_Ratinglist/40_4_single/rangliste.html I suppose there's some confusing explanation... I tend to just look at the list and use Elo ranking to make a determination. Well... 32930 is an old net, they ha...

1. CCRL net was using 20x256 which is suitable for stronger cards only. ( I saw in discord chat that they sent 10x128 net for CCRL hardware. Once they test that net , the result may change) No-one has ever sent us anything to test. They are more interested in the likes of TCEC and CCC and monster h...

This reminds me of the topics proclaiming 'end an era' (for AB engines)... which seems premature considering Stockfish is still stronger than LC0. Here's the result with a Leela ratio of close to 1:1 after many games (http://ccrl.chessdom.com/ccrl/404/) 1 Stockfish 10 64-bit 4CPU 3546 2 Houdini 6 6...

Working fine so far.zeta.png Hi again, not sure if you are already testing Zeta, just want to let you know, that I will probably do another release next weekend, to fix some issues with parallel search scaling above 32 workers.... -- Srdja Thanks, I'll wait for this new version. I did run some game...

so the real problem for you is that LC0 and NN behave so poorly? That tends to be the real motivation for those with an obsession with LC0. Indeed. **** Whether Lc0 is "best" or not is totally dependent on how much money you're willing to spend on a GPU. ***** On this list the Lc0 fans need to comp...

Daniel Shawul wrote: ↑

Sun Jun 30, 2019 9:47 pm

Change nn_type to 1 like Werner did. Note that he initially got the same error message as you got.

Still the same error. I'll try again tomorrow.

HALF is not compatible with my GPU. I have to use FLOAT.

But I still get the errors

UFFParser: Parser error: Reshape: Reshape: Volume mismatch
Fail to parse network ./net-maddex.uff