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KaTrain Installation

MacOs Installation for MacOS users

Quick install guide

Open a terminal and enter the following commands:

/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install.sh)"
brew install python3
brew install katago
pip3 install katrain

Now you can start KaTrain by simply typing katrain in a terminal.

These commands install Homebrew, which simplifies installing packages, followed by the programming language Python, the KataGo AI, and KaTrain itself.

To upgrade to a newer version, simply run pip3 install -U katrain

If you encounter an error about SDL being missing, try brew install sdl sdl_image sdl_mixer sdl_ttf portmidi

Troubleshooting and Installation from sources

Installation from sources is essentially the same as for Linux, see here, note that you will still need to install your own KataGo, using brew or otherwise.

If you encounter SSL errors on downloading model files, you may need to follow these instructions to fix your certificates.

Windows Installation for Windows users

Quick install guide

You can find downloadable .exe files for windows here. Simply download and run, everything is included.

Installation from sources

  • Download the repository by clicking the green Clone or download on this page and Download zip. Extract the contents.
  • Make sure you have a python installation, I will assume Anaconda (Python 3.7), available here.
  • Open 'Anaconda prompt' from the start menu and navigate to where you extracted the zip file using the cd <folder> command.
  • Execute the command pip3 install .
  • Start the app by running katrain in the command prompt.

Linux Installation for Linux users

Quick install guide

If you have a working Python 3.6/3.7/3.8 available, you should be able to simply:

  • Run pip3 install -U katrain
  • Run the program by executing katrain in a terminal.

Installation from sources

This section describes how to install KaTrain from source, in case you want to run it in a local directory or have more control over the process. It assumes you have a working Python 3.6+ installation.

  • Open a terminal.
  • Run the command git clone https://github.com/sanderland/katrain.git to download the repository and change directory using cd katrain
  • Run the command pip3 install . to install the package globally, or use --user to install locally.
  • Run the program by typing katrain in the terminal.
    • If you prefer not to install, run without installing using python3 -m katrain after installing the dependencies from requirements.txt.

A binary for KataGo is included, but if you have compiled your own, press F8 to open general settings and change the KataGo executable path to the relevant KataGo v1.4+ binary.

Troubleshooting and advanced installation from sources

You can try to manually install dependencies to resolve some issues relating to missing dependencies, e.g. the binary 'wheel' is not provided, KataGo is not starting, or sounds are not working. You can also follow these instructions if you don't want to install KaTrain, and just run it locally.

First install the following packages, which are either required for building Kivy, or may help resolve missing dependencies for Kivy or KataGo.

sudo apt-get install python3-pip build-essential git python3 python3-dev ffmpeg libsdl2-dev libsdl2-image-dev\
    libsdl2-mixer-dev libsdl2-ttf-dev libportmidi-dev libswscale-dev libavformat-dev libavcodec-dev zlib1g-dev\
    libgstreamer1.0 gstreamer1.0-plugins-base gstreamer1.0-plugins-good libpulse\
    pkg-config libgl-dev opencl-headers ocl-icd-opencl-dev

Then, try installing python package dependencies using:

pip3 install -r requirements.txt
pip3 install screeninfo # Skip on MacOS, not working

In case the sound is not working, or there is no available wheel for your OS or Python version, try:

pip3 uninstall kivy
pip3 install --no-binary kivy kivy==2.0.0rc2

You can now start KaTrain by running python3 -m katrain

In case KataGo does not start, an alternative is to go here and compile KataGo yourself.

Configuring the GPU(s) KataGo uses

In most cases KataGo detects your configuration correctly, automatically searching for OpenCL devices and select the highest scoring device. However, if you have multiple GPUs or want to force a specific device you will need to edit the 'analysis_config.cfg' file in the KataGo folder.

To see what devices are available and which one KataGo is using. Look for the following lines in the terminal after starting KaTrain:

    Found 3 device(s) on platform 0 with type CPU or GPU or Accelerator
    Found OpenCL Device 0: Intel(R) Core(TM) i9-9880H CPU @ 2.30GHz (Intel) (score 102)
    Found OpenCL Device 1: Intel(R) UHD Graphics 630 (Intel Inc.) (score 6000102)
    Found OpenCL Device 2: AMD Radeon Pro 5500M Compute Engine (AMD) (score 11000102)
    Using OpenCL Device 2: AMD Radeon Pro 5500M Compute Engine (AMD) OpenCL 1.2

The above devices were found on a 2019 MacBook Pro with both an on-motherboard graphics chip, and a separate AMD Radeon Pro video card. As you can see it scores about twice as high as the Intel UHD chip and KataGo has selected it as it's sole device. You can configure KataGo to use both the AMD and the Intel devices to get the best performance out of the system.

  • Open the 'analysis_config.cfg' file in the katrain/KataGo folder in your python packages, or local sources. If you can't find it, turn on debug_level=1 in general settings and look for the command that is used to start KataGo.
  • Search for numNNServerThreadsPerModel (~line 75), uncomment the line by deleting the # and set the value to 2. The line should read numNNServerThreadsPerModel = 2.
  • Search for openclDeviceToUseThread (~line 117), uncomment by deleting the # and set the values to the device ID numbers identified in the terminal. From the example above, we would want to use devices 1 and 2, for the Intel and AMD GPU's, but not device 0 (the CPU). In our case, the lines should read:
openclDeviceToUseThread0 = 1
openclDeviceToUseThread1 = 2
  • Run katrain and confirm that KataGo is now using both devices, by checking the output from the terminal, which should indicate two devices being used. For example:
    Found 3 device(s) on platform 0 with type CPU or GPU or Accelerator
    Found OpenCL Device 0: Intel(R) Core(TM) i9-9880H CPU @ 2.30GHz (Intel) (score 102)
    Found OpenCL Device 1: Intel(R) UHD Graphics 630 (Intel Inc.) (score 6000102)
    Found OpenCL Device 2: AMD Radeon Pro 5500M Compute Engine (AMD) (score 11000102)
    Using OpenCL Device 1: Intel(R) UHD Graphics 630 (Intel Inc.) OpenCL 1.2
    Using OpenCL Device 2: AMD Radeon Pro 5500M Compute Engine (AMD) OpenCL 1.2