Leela与调整中的Zen7最高段位的一局【围棋吧】_百度贴吧
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本吧签到人数：0可签7级以上的吧50个
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Leela与调整中的Zen7最高段位的一局
机子配置6700K+GTX1070。Zen的平均用时稳定在每步6秒左右，Leela的平均用时约是Zen的3~4倍，大约20~25秒每步。前中期Leela似乎稍微占据优势，最后Leela还是死在了那个熟悉的刀把五。
上班族闲暇时间就可以体验的策略类游戏,无需下载客户端在这款游戏里,你要运用自己的大脑,步步为营,建立自己的帝国王朝.
楼主想zen7想疯了吧！
如果zen设置成时间的话，应该至少还能强一子吧用RN4.2试过没？如果最高段位比RN强的话，估计应该就可以达到比zen6强3子
三大软件更新速度：RN 大于 里拉 远大于Zen
lz 你这样的图是用什么软件保存下来的啊？
死活好官子差是不是价值网络太弱的问题
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保存至快速回贴这电脑配置用最合适哪款棋软？谢谢！！【围棋吧】_百度贴吧
&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&签到排名：今日本吧第个签到，本吧因你更精彩，明天继续来努力！
本吧签到人数：0可签7级以上的吧50个
本月漏签0次！成为超级会员，赠送8张补签卡连续签到：天&&累计签到：天超级会员单次开通12个月以上，赠送连续签到卡3张
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这电脑配置用最合适哪款棋软？谢谢！！
这电脑配置用最合适哪款棋软？谢谢！！
上班族闲暇时间就可以体验的策略类游戏,无需下载客户端在这款游戏里,你要运用自己的大脑,步步为营,建立自己的帝国王朝.
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保存至快速回贴Windows系统下配置Leela Zero众所周知，Leela zero是比利时程序员Gian-Carlo Pascutto（GCP）参照DeepMind最新论文在github上面开展的的一款开源围棋项目，项目为分布式，依靠志愿者提供算力。不借助任何人类知识，完全从零开始，致力于复现Alphagozero。众多棋友都很好奇，究竟如何在自己个人电脑上配置属于自己的丽拉？希望这篇文章能为对计算机不甚了解的棋友，提供一些帮助。1.下载相关文件 ①Leela Zero: 这是Leela的作者GCP在Github上提交的源文件（如果对计算机比较了解的朋友，看GCP的readme应该就能自己配置好了）。进入网页，通过绿色的download键，把压缩包下载至自己的电脑。②LeelaSabaki: 同理，下载压缩包并解压。③Sabaki: Sabaki是一个帮助完成交互的围棋软件，链接内提供了多个操作系统下的安装包，此文默认为使用windows系统。④Leela权重文件: 权重文件的链接可在①的readme中找到()，直接下载即可。把下载好的权重文件(txt格式)放在②文件的相同根目录下。2. 编译Leela首先需要对下载的①文件进行编译，作者提供了windows下使用Visual Studio 编译的project文件(没有安装VS的朋友需要自行下载)。工程文件的下载路径如下 F:\Weiqi\Leela\leela-zero-master\msvc (前面的路径自行调整)编译过程中值得注意的是，我起初一直使用debug模式编译，经常会出问题，最后使用了release模式编译。源文件是没有问题的，如果编译出错大概率是自己电脑内缺少了一些文件，自行百度即可解决问题。如果编译成功，会在文件夹F:\Weiqi\Leela\leela-zero-master\msvc\x64\Release 下生成一个.exe文件，这就是我们需要在sabaki内添加的引擎之一。3. 配置路径打开Sabaki，Engines -& Manage Engines，把我们的Engine路径添加进去即可。如下图所示：第一行是用户自己给它起的名称，可随意。第二行是leelasabaki的路径。第三行是leela zero的路径和权重，按照自己电脑内的路径调整即可。我的路径如下：--heatmap F:\Weiqi\Leela\leela-zero-master\msvc\x64\Release\leelaz.exe -w weight.txt --playouts 100 --noponder4. 开始游戏在Sabaki内 File -& New， 开始一局棋，可以选择黑白使用的Engine，设置为Leela即可。0添加评论分享收藏leela宝宝得到强援，美国超级计算机出手相助【围棋吧】_百度贴吧
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本吧签到人数：0可签7级以上的吧50个
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leela宝宝得到强援，美国超级计算机出手相助
leela宝宝得到美国一所大学的超级计算机“大红2号”出手相助由于学校放假，计算机有富余资源，因此在一位热心哥们的帮助下申请分配了12%的资源，目前我们的每小时训练棋谱量从原来的1500，倍增到3000左右.预计一天将达到72000局，翻倍的训练速度，给春节前到9D带来了希望。泪奔啊
上班族闲暇时间就可以体验的策略类游戏,无需下载客户端在这款游戏里,你要运用自己的大脑,步步为营,建立自己的帝国王朝.
请加入我们，一起培养leela宝宝，宝宝现在是野狐4D了，请帮助宝宝上9D。
我不知道超级计算机能帮助宝宝多久，但我希望能坚持到春节。
超算好厉害啊， 相当于我们所有分布运算力的总和。
不至于吧，本鱼鱼刚加入就有那么强的援军？
争取达到职业
我的天啊！超算助力，就看它支持到什么时候了？
消息确认了吗，棋谱量已经翻番了吗
我的妈，好叼
超级计算机原来可以帮助机器学习的啊，那我们中国的AI申请让天河二号和神威太湖之光来不是比谷歌ALPHAGOZERO还快？
哈哈哈哈高兴
印第安纳大学研发出Big RedII超级计算机 简介2013年 美国印第安纳大学日前获得了世界上第一台千万亿次级别“大学专用资源”超级计算机 Big Red II的超级计算机每秒可处理1千万亿次浮点运算，在2013年世界超级计算机排名中位于第25位。它采用了344颗AMD Abu Dhabi 16核处理器，拥有21824个处理核心，内置了43648GB RAM，配备了180TB的本地储存。　　Big Red II使用GPU功能节点和标准的CPU计算节点的Cray XK网络架构，内置676颗AMD Interlagos 16核GPU和一个NVIDIA开普勒K20，性能非常强悍。
我靠，鸟枪换炮啊，加油
难怪，我想说明明人数就没有增加呀怎么增加速度变快这么多。
但用的是cpu版本的opencl，2个半小时才能下完一句局。好处就是可以来开几十个一起跑
好消息好消息
看来我的一个预言【不要寄望新论文，寄望太湖赞助更容易一些】又成真了
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保存至快速回贴Go/Weiqi/Baduk
Leela is a strong Go playing program combining advances in Go programming and
further original research into a small, easy to use graphical interface.
It is freely available, making it an ideal introduction to the game.
Strong Go engine including support for multiple processors and GPU acceleration
Strength over 9 dan on 19 x 19, depending on hardware
2008 Computer Olympiad
Featuring Deep Learning technology
Easy to use graphical interface
Adjustable board size (up to 25x25!), playing levels, handicap and komi
Fixed strength and time based difficulty levels
Chinese rules with positional superko
SGF format loading and saving
Rated game mode with auto-adjusting difficulty levels
Analysis features including critical variations for each move and winning odds
Graphical display of critical moves, territory, best lines, &
(graphical interface for Windows, you probably want this one)
(graphical interface for macOS, DMG format)
(deb package)
(pkg package)
(rpm package for dnf)
(commandline/GTP engine for Windows//macOS)
Screenshots
Analyzing a game, showing the most probable moves.
What's this Deep Learning technology?
Leela contains an AI technique modeled after the human visual system and brain,
a deep stack of artificial neurons processing visual input with each layer combining the
previous ones into higher level features (a so called DCNN, deep convolutional neural network).
This "neural network" has been trained with more than 32 million
positions from high level go games and taught to predict which moves a pro
player would most likely consider. In 19x19 games the engine will query this deep
"neural network" during the search to focus on the most critical variations. The result
is a substantial raise in playing strength (about 6 stones), and a more human-like
playstyle, while still allowing the engine to innovate of its own.
What's the benefit of GPU Acceleration?
A GPU is typically much faster than a normal processor at doing the kind of
calculations the Deep Learning algorithms need. For example, an AMD R9 390 (mid-range
videocard) can find the worthwhile moves in a Go position about 15 times faster than an
Intel Core i5-6600 (mid-range CPU). Leela makes use of this to explore variations
deeper and in more detail. You can notice that in analysis mode the critical variations
displayed by the engine are much longer when GPU Acceleration is used.
What do I need to run the "GPU Accelerated" version?
You need a video card with OpenCL 1.1 (or later) capability. This is supported on all
recent AMD and NVIDIA cards. Make sure the latest drivers for the video card are
installed. The detected video card can be seen in the Help-&About menu.
Can I run the "GPU Accelerated" version on the built-in graphics of my CPU?
This only makes sense if the built-in GPU is faster at doing the Deep Learning calculations
than the CPU itself. Intel CPUs are typically very fast, with a weak built-in GPU,
so this is not recommended. AMD APU's typically have a slow CPU but a fast GPU, so
it would be worthwhile on those.
My Linux distribution is not listed.
You have several options:
The "engine only" download has Linux binaries included that should run on almost all distributions, and which can be used with any Go GUI that supports the GTP protocol (almost all of them do). A good looking one is . To use the OpenCL version you must have OpenCL drivers and an OpenCL ICD loader installed, please see the included README.TXT.
The Windows installer and graphical interface work and are fully functional under wine-1.9.23 or later, although GPU acceleration will not work.
Many Linux distributions have some way to take in Ubuntu/Debian packages and convert them to the distributions' own format. Perhaps someone has already done this for you. Look around!
Why does Leela report &100% or negative winrates?
Being sure of winning the game with 0.5 points corresponds to 100% winrate. Bigger margins of victory are represented by &100%.
How do I analyse games?
Enable the Analysis Window via Analyze&Analysis Window. Start analysis with F2 (or the toolbar) and move through the game with the arrow keys, looking for jumps in the Win% of the best move (the one on top). These represent mistakes by one of the players. Look at what moves Leela suggests instead. Show Network Probabilities (F3) and Show Best Moves (F4) can help understand direction of play mistakes and Show Territory (F5) can help understand the "size" and "temperature" of plays.
You can "save" the position by pressing the +, then try out a variation on the board. Then do Analyze&Revert to Stored (Alt-M) to go back to the position you saved. The position is also saved whenever you enter Analyze mode.
Enabling the Histogram (Ctrl-H) shows a graphical display of who was ahead at what point of the game. It plots winrate versus move number. A steep vertical bank in the line represents a likely mistake according to Leela. You can go to that move by clicking inside the Histogram window.
What do the columns in the Analysis Window mean?
Leela always orders the moves in this window from best to worst, i.e. the top move is the best move (so far). You can click in this window to show the principal variation for the selected move on the board.
Simulations: the number of Monte Carlo playouts used to investigate the move. More simulations means more confidence in the winrate as the move has been investigated deeper.
Effort%: the percentual amount of search effort Leela has spent on a move. A large search effort means that the move has consistently looked good throughout the search. Leela generally prefers such moves, unless a new very promising candidate has popped up.
Win%: this represents Leela's best guess as to how likely it is for the player to move to win the game. If there is a move that is not investigated deeply yet, but appears to provide a higher chance of winning than the current best move, it is bolded. You might want to let Leela analyze a bit longer if this happens.
MC Win%: the likelyhood that the player to move wins the game, as determined by randomized Monte Carlo playouts from the current position. This is a factor in the Win% calculation.
Net Win%: the likelyhood that the player to move wins the game, as determined by analyzing the position with a neural network. This is a factor in the Win% calculation.
Net Prob%: the probability that a pro player would play this move, as estimated by the Neural Network.
Eval: displayed in non-19x19 games instead of Net Prob%. A dimensionless number expressing the likelihood of the move being good, based on a pattern database and the moves' features.
PV: the principal variation. The sequence of suggested moves for both players that Leela believes is optimal.
My Mac is complaining that Leela can't be opened because it is from an unidentified developer.
Right click the download and select Open. You'll get the option to bypass the warning.
Leela says that white is more likely to win when black gets handicap stones.
Leela's value network is generated from real human games, not idealized computer opponents. In handicap games, the stronger (white) player wins more often. You can look at the Monte Carlo evaluation for an assement with equally strong players.
Leela 0.11.0 ()
Fixed wrong search algorithm being used when neural nets are disabled. This made the previous version play very weakly on non-19x19 boards.
New, much stronger Monte Carlo evaluation by combining Policy Gradient Reinforcement Learning and Simulation Balancing.
The combination of the above means that strength on non-19x19 has greatly increased compared to the previous release. As a result, rankings in rated game mode have been reset.
The users' rank now adjust much faster in the first few rated games.
More accurate, larger value network for 19x19.
More accurate policy network for 19x19. With OpenCL enabled an even stronger, bigger network is used instead.
Windows version is now compiled with Clang/LLVM 5.0 instead of MSVC2017. This makes the Monte Carlo evaluations about 15% faster.
Improved OpenCL error handling with more useful error messages. The GUI will pop up a dialog if initialization fails.
Resizing the board window to the minimum no longer crashes the program.
The GUI version now runs the engine at normal, not lowered priority. This can improve responsiveness in some situations and avoids false hangs if another program is pegging the CPU.
Small visual fixes to the settings window.
Internal cleanups and changes to thread handling aimed at working arounds bugs in AMD's OpenCL drivers.
Taking back a move in rated mode now properly makes the game not count.
Fixed a bug where quickly moving backwards/forwards through a game could cause analysis mode to be activated.
Winrates for the Score Histogram are now remembered even if the window is not currently active.
Leela now includes the current date tag when writing SGF files.
Workaround for a bug in GNOME and Unity regarding icon handling.
Leela now marks itself as capable of handling SGF files on Linux.
On Linux the program shortcuts now apply the PulseAudio wrapper automatically. This makes sound work by default on modern Linux distributions.
"Score Histogram" renamed to "Win Rate Histogram".
During scoring, "Play On" has been reverted back to read "Dispute Score".
Position cache is now cleared when komi changes.
It is now possible to play with negative or large komi in the UI, but note that the value network will not work as accurately compared to standard 0, 6.5 or 7.5 komis.
“Dispute” button in the scoring dialog now works correctly, and will enable resumption of the game with all-stones-are-alive scoring.
Leela now restores the size and position of the most important windows.
Leela now remembers which visualization tools were enabled when restarting the program.
Leela no longer auto-sizes the analysis window if the window is restored after startup.
Larger, more modern fuseki library.
--nobook option allows disabling the fuseki library (GTP version).
Move information will now be displayed for all interesting moves, instead of the first 6 (GTP version).
A loadsgf command with incorrect parameters no longer crashes the engine (GTP version).
Clarified the description of some commandline parameters (GTP version).
Abort on some combinations of commandline parameters that are inconsistent (GTP version). Notably, when restricting the playouts pondering must be disabled.
The engine will now additionally ponder after kgs-genmove_cleanup commands (GTP version).
The GUI version now accepts an SGF name and move number as startup arguments.
macOS version now warns about Apple's OpenCL drivers on first run.
Settings that are not available on the current platform are now greyed out.
A score estimate for the current position is now displayed in the title of the analysis window.
loadsgf now stops at the position before the specified move number (GTP protocol compatibility).
Loading an SGF in the GUI now correctly loads the last move as well.
Give a meaningful message if an OpenCL device reports it's not a CPU or GPU (GTP version).
Loading an SGF and trying to play on now takes the settings from "New Game", instead of the last active ones (which would often be a rated game).
Some more invalid SGF files with handicap games can now be parsed.
Fix issues with loading SGF files with international characters in the name.
Fix wrong version info in Linux .desktop files.
Fix some keyboard shortcuts that were mapped to multiple functions.
Fix a bug that could cause the variation display to use the wrong stone colors.
Fix a bug that could cause erronous matches in the opening book or position cache.
Fix a potential crash when the score histogram is enabled.
Fix a crash when we cannot detect the number of threads/CPUs.
Many internal cleanups.
Leela 0.10.0 ()
Reworked, faster policy network that includes games from weaker
players. This improves many blind spots in the engine.
Larger value network trained with more data (With thanks to Hiroshi
Yamashita).
Value network computation is now done on the GPU (OpenCL version).
Improved "easy move" and "snap move" system when move decisions look
obvious. Leela is less likely to blunder in those situations.
Improved reading of ladders and detection of false ladders.
Improved winrate estimation, taking confidence in Monte Carlo and
Value Network into account.
Tuned and improved search, also for 9x9 and 13x13. The latter is up to
a stone stronger (but much weaker than 19x19).
Various small fixes to the engine's diagnostic display in edge cases.
Optimizations for large numbers of cores/threads: &=6 and &=14. 16
thread machines are up to half a stone stronger. Reduced amount of locking.
Some set-up operations now run in parallel. This improves strength at
very fast time-controls or on systems with many cores.
Native Linux GUI added.
Native macOS GUI added.
macOS engine no longer requires boost/homebrew (GTP version).
More clear display of search statistics, notably effective search speed (GTP version).
Small updates to fuseki library.
clear_board no longer resets the komi value (GTP protocol compatibility).
"--komiadjust" option to avoid 0.5 point losses when playing under
territory scoring rules (GTP version).
Adjust some edge cases for time_left, such as time_left w/b 0 0 (GTP
protocol compatibility).
Reworked score dialog. It will indicate if Leela is not confident in
the scoring or group status.
Selecting a variation in the analysis window now shows the variation
with stones and numbering on the board.
Reworked heatmap display with clearer coloring.
Add a heatmap display that displays the current best moves from the
search. Add a column to the analysis window with percentage of search
effort spent.
Add a clickable score histogram with current move indication.
Don't auto-resize the analysis window if the user has resized it manually.
Added explicit "Store position" and "Forget position" commands to the
UI. Positions are kept in a stack. The current position is automatically
saved upon loading a game or entering analysis mode.
Added "winrate", "vn_winrate" and "mc_winrate" commands (GTP version).
Add "heapmap" command (GTP version).
Add support for specifying the GPU to use (GTP version).
Add support for kgs-game_over (GTP version).
Linux and macOS binaries now supports older systems and AMD Ryzen.
Territory and move number now correctly update after moving through a
game or loading an SGF. Move number is displayed in the title bar.
Copy/Paste SGF to clipboard options added to the GUI.
Leela won't pass out games where the winner is not very certain.
Time is now correctly subtracted from the clock when playing games in
the GUI. This makes Leela respect the set time-control again.
Entering analysis mode from a rated game will disable the engine's
strength limits.
Analysis data can now be copied by right-clicking the analysis window.
Fixed algorithm for "influence" (GTP) and "Show Territory" (GUI).
Leela 0.9.0 ()
Strongly improved search: the engine can now extend the search tree in
multiple steps, running the fastest ones on the CPU. Slightly less
dependent on a fast GPU, less slowdown due to communication with GPU,
less sensitive to holes in the neural network.
Improved Monte Carlo evaluation, notably some life and death reading
requiring exact move sequences and nakade.
A value network is now used as a second opinion to the Monte Carlo
evaluation. This benefits greatly from a modern CPU (Haswell or newer).
The reported winning rate takes both techniques into account.
Retuned various search parameters.
Altogether these improvements are worth about 1 to 2 stones.
Retuned resign thresholds for new evaluation.
Limit handicap setting in GUI to sane/supported levels.
Don't overwrite the first moves in the graphical mainline display when
a recapture happens.
Slightly adjust rated game mode difficulty.
Fixed multiple issues with SGF parsing: whitespace issues, comments
and escape sequence parsing, default to 19x19 when no size specified.
Added 7x7 board size in the new game dialog.
Coordinates are now in uppercase (required by GTP spec).
Added --quiet, which suppresses diagnostic output on stderr and can
solve GUI compatibility issues (GTP engine).
Added --logfile option (GTP engine).
The time_settings command now implies a clock reset (GTP version).
Fixes to Canadian style byo yomi time. (GTP version)
Leela 0.8.0 ()
Faster DCNN computation on CPU: up to 130% speedup on modern Intel CPUs.
Faster DCNN computation on GPU: ~10-20% faster on AMD GCN, up to 150% faster on NVIDIA Pascal/Maxwell/Kepler.
Stronger playouts: Better handling of self-atari moves, semeai, some minimal understanding of seki and nakade.
Stronger search: Less hard pruning of unlikely moves, yet better focus on strong variations.
More resistance to entering ladders, bugfixes to reading of branching ladders.
OpenCL version now runs a self-test on startup and will report broken drivers.
Bugfixes to byo-yomi timing, preventing some panic moves.
Leela now resigns faster when losing.
Leela no longer passes out the game when it is not yet won on the count.
Bugfixes to marking dead stones in passed out games.
The above adds up to about 1 to 2 stones strength improvement, depending on the hardware.
Bugfixes to SGF writing, correct handling of resignations.
Support for SGF writing via "printsgf" command (GTP version).
Bugfixes to Show Probabilities when loading SGF games.
Configurable buffer for interface/network lag (GTP version).
Configurable number of playouts (GTP version).
Moves with a higher winrate than the current best move (but insufficient confidence) are bolded in the analysis window.
Heatmap displays correctly for moves on the board edge.
Faster resizing of the board when heatmaps are enabled.
Installer offers the choice of installing for current user or all users.
Uninstaller will clean up registry settings correctly.
Show move probabilities and Use Networks are greyed out in non-19x19
"Rating" display changed to "Your rating" to prevent some confusion.
"Rating" display will disappear when the user uses any kind of hint
or analysis feature (and the game won't count).
Analysis mode allows you to freely play moves on the board. There is
a menu option and toolbar button "Return to Mainline" that will revert
to the position where Analysis Mode originally got enabled.
Browsing through the game with ahead/back 10 moves is much faster.
Leela 0.7.0 ()
Larger DCNN and hence better move pruning.
Fuseki library built from professional games included. Speeds up opening play.
(GPU version) Faster dispatching to GPU, speeding up tree search.
Better selection of critical variations during the tree search.
Altogether about half a stone stronger than 0.6.2.
Support for board sizes larger than 25 x 25 has been removed. This made many of the following enhancements much easier.
Arrow keys can be used to move through a game in analysis mode.
Engine stays in analysis mode when moving through a game.
Show Territory reworked to use the calculation from the engine instead of a simplified one from the GUI. Display is now prettier and can show the likelihood graphically.
Option to show the probabilities from the DCNN as a heatmap.
Analysis Window providing in-depth display of the move evaluations.
Lines can be clicked to show the Principle Variation graphically.
Windows DPI Scaling can be enabled or disabled via the settings menu.
Dialogs should now fit better when using nonstandard screen or font sizes.
Engine runs at lower priority so Windows stays more responsive.
Windows XP SP2 is now supported as the minimal Windows version.
OpenCL support is now available for the Linux GTP engines.
Leela 0.6.2 ()
Deep Learning DCNN for move pruning during search (+6 stones strength).
Added OpenCL version, running the DCNN on the GPU.
Reworked search algorithm for Deep Learning mode.
Leela 0.4.6 ()
Doubled size of pattern database and retuned move prediction.
Fixed a bug introduced in 0.4.x that severely degraded life and death assessment.
Other playout fixes improving life and death reading.
Total playing strength improved by about half a stone.
Dialogs will now render properly on high-DPI displays.
Installer no longer requests administrator rights (no UAC prompt).
Removed lite version. Full version is now free.}