install
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@@ -7,7 +7,7 @@
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* [Quick install guide for Linux](#LinuxQuick)
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* [Troubleshooting and installation from sources](#LinuxSources)
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## <img src="https://upload.wikimedia.org/wikipedia/commons/5/5f/Windows_logo_-_2012.svg" alt="drawing" width="25"/> Installation for MacOS users
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## <img src="https://upload.wikimedia.org/wikipedia/commons/8/8a/Apple_Logo.svg" alt="MacOs" height="35"/> Installation for MacOS users
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### <a name="MacQuick"></a>Quick install guide
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@@ -25,11 +25,12 @@ These commands install [Homebrew](https://brew.sh), which simplifies installing
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### <a name="MacSources"></a>Troubleshooting and Installation from sources
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Installation from sources is essentially the same as for Linux, see [here](#LinuxSources).
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Installation from sources is essentially the same as for Linux, see [here](#LinuxSources),
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note that you will still need to install your own KataGo, using brew or otherwise.
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If you encounter SSL errors on downloading model files, you may need to follow [these](https://stackoverflow.com/questions/52805115/certificate-verify-failed-unable-to-get-local-issuer-certificate) instructions to fix your certificates.
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## <img src="https://upload.wikimedia.org/wikipedia/commons/5/5f/Windows_logo_-_2012.svg" alt="drawing" width="25"/> Installation for Windows users
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## <img src="https://upload.wikimedia.org/wikipedia/commons/5/5f/Windows_logo_-_2012.svg" alt="Windows" height="35"/> Installation for Windows users
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### <a name="WindowsQuick"></a>Quick install guide
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@@ -42,9 +43,9 @@ Simply download and run, everything is included.
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* Make sure you have a python installation, I will assume Anaconda (Python 3.7), available [here](https://www.anaconda.com/products/individual#download-section).
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* Open 'Anaconda prompt' from the start menu and navigate to where you extracted the zip file using the `cd <folder>` command.
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* Execute the command `pip3 install .`
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* Start the app by running `katrain` in the directory where you downloaded the scripts.
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* Start the app by running `katrain` in the command prompt.
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## Installation for Linux users
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## <img src="https://upload.wikimedia.org/wikipedia/commons/a/ab/Linux_Logo_in_Linux_Libertine_Font.svg" alt="Linux" height="35"/> Installation for Linux users
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### <a name="LinuxQuick"></a>Quick install guide
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@@ -74,6 +75,7 @@ A binary for KataGo is included, but if you have compiled your own, press F8 to
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You can try to manually install dependencies to resolve some issues relating to missing dependencies,
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e.g. the binary 'wheel' is not provided, KataGo is not starting, or sounds are not working.
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You can also follow these instructions if you don't want to install KaTrain, and just run it locally.
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First install the following packages, which are either required for building Kivy,
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or may help resolve missing dependencies for Kivy or KataGo.
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@@ -93,6 +95,7 @@ In case the sound is not working, or there is no available wheel for your OS or
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pip3 uninstall kivy
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pip3 install --no-binary kivy kivy==2.0.0rc2
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```
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You can now start KaTrain by running `python3 -m katrain`
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In case KataGo does not start, an alternative is to go [here](https://github.com/lightvector/KataGo) and compile KataGo yourself.
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@@ -114,7 +117,8 @@ The above devices were found on a 2019 MacBook Pro with both an on-motherboard g
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As you can see it scores about twice as high as the Intel UHD chip and KataGo has selected
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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.
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* Open the 'analysis_config.cfg' file in the KataGo folder.
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* Open the 'analysis_config.cfg' file in the `katrain/KataGo` folder in your python packages, or local sources.
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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.
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* Search for `numNNServerThreadsPerModel` (~line 75), uncomment the line by deleting the # and set the value to 2. The line should read `numNNServerThreadsPerModel = 2`.
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* Search for `openclDeviceToUseThread` (~line 117), uncomment by deleting the # and set the values to the device ID numbers identified in the terminal.
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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:
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@@ -122,7 +126,7 @@ As you can see it scores about twice as high as the Intel UHD chip and KataGo ha
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openclDeviceToUseThread0 = 1
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openclDeviceToUseThread1 = 2
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```
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* Run `python3 -m katrain` and confirm that KataGo is now using both devices, by
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* Run `katrain` and confirm that KataGo is now using both devices, by
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checking the output from the terminal, which should indicate two devices being used. For example:
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```
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Found 3 device(s) on platform 0 with type CPU or GPU or Accelerator
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