Difference between revisions of "Building KataHex"
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== Ubuntu Linux == | == Ubuntu Linux == | ||
You may have to use <code>apt-get</code> or <code>synaptic</code> to install packages | You may have to use <code>apt-get</code> or <code>synaptic</code> to install packages | ||
| + | the TCMALLOC option protects from problems related to memory management when you run more than one instance at at time. You may have to install one or more packages | ||
| + | * <code>libtcmalloc-minimal4t64</code> | ||
| + | * <code>librust-tcmalloc-dev</code> | ||
| + | * <code>librust-tcmalloc-sys-dev</code> | ||
==== EIGEN (CPU only) ==== | ==== EIGEN (CPU only) ==== | ||
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The following BASH commands then may do the trick, but will produce code that may only work on the exact CPU model you use for the build. See comments in the KataHex source code, as well as the KataGo source code (on with KataHex is based, and which contains more details). | The following BASH commands then may do the trick, but will produce code that may only work on the exact CPU model you use for the build. See comments in the KataHex source code, as well as the KataGo source code (on with KataHex is based, and which contains more details). | ||
Revision as of 20:18, 18 January 2026
There is more than one version of KataHex out there, so these instructions have variants
Ubuntu Linux
You may have to use apt-get or synaptic to install packages
the TCMALLOC option protects from problems related to memory management when you run more than one instance at at time. You may have to install one or more packages
-
libtcmalloc-minimal4t64 -
librust-tcmalloc-dev -
librust-tcmalloc-sys-dev
EIGEN (CPU only)
The following BASH commands then may do the trick, but will produce code that may only work on the exact CPU model you use for the build. See comments in the KataHex source code, as well as the KataGo source code (on with KataHex is based, and which contains more details).
cmake . -DUSE_BACKEND=EIGEN -DUSE_AVX2=1 -DUSE_TCMALLOC=1 -DCMAKE_CXX_FLAGS='-march=native' make -j 4
CUDA
I have not yet been able to build with the CUDA backend
TENSORRT
I have not yet been able to build with the TENSORRT backend
OPENCL
I have not yet been able to build with the OPENCL backend
