Katago: Difference between revisions

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Katago is a very strong go engine.

[https://github.com/lightvector/katago Katago] is a very strong go engine. It has no GUI and has to be used with [https://github.com/sanderland/katrain KaTrain], [https://github.com/featurecat/lizzie Lizzie], [https://github.com/rooklift/ogatak Ogatak], [https://github.com/bernds/q5Go q5Go] or other tools like [https://sabaki.yichuanshen.de/ Sabaki].

~~There are several build options for Katago's derivation. Katago can use either Eigen, OpenCL, or CUDA. By default, it uses OpenCL.~~

Using CUDA:

== Installation==

There are several build options for Katago's derivation. Katago can use either Eigen, OpenCL, CUDA, or TensorRT. By default, it uses OpenCL. To use a different backend override the `backend` attribute, allowed values are "eigen", "opencl", "cuda", and "tensorrt".

For the eigen and cuda backends either version should be more or less functionally the same.

===Using CUDA===

katago.override {

~~enableCuda~~ = ~~true~~;

backend = "cuda";

cudnn = cudnn_cudatoolkit_10_2; # insert your favorite version of CUDA here (optional)

cudatoolkit = cudatoolkit_10_2; # I recommend at least CUDA 10, because older versions suffer major performance penalties

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}

Using Eigen:

===Using Eigen===

katago.override {

backend = "eigen";

}

===Using TensorRT===

First download the tensorrt redistributable installer from https://developer.nvidia.com/tensorrt and add it to your nix-store.

Note that you need an NVidia account (free) to do this.

katago.override {

~~enableGPU~~ = ~~false~~;

backend = "tensorrt";

enableTrtPlanCache = true; # Recommended to speed up booting, but uses additional disk space, so not recommended for contrib.

}

==Configuration==

If your processor support AVX2, you might want to enable it:

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}

Enabling [https://katagotraining.org/] contributions:

=== Contribute to the neural net ===

Enabling [https://katagotraining.org/] contributions to the neural net:

katago.override {

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[[Category:Applications]]

[[Category:Gaming]]

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-Katago is a very strong go engine.
+[https://github.com/lightvector/katago Katago] is a very strong go engine. It has no GUI and has to be used with [https://github.com/sanderland/katrain KaTrain], [https://github.com/featurecat/lizzie Lizzie], [https://github.com/rooklift/ogatak Ogatak], [https://github.com/bernds/q5Go q5Go] or other tools like [https://sabaki.yichuanshen.de/ Sabaki].
-There are several build options for Katago's derivation.  Katago can use either Eigen, OpenCL, or CUDA.  By default, it uses OpenCL.
-Using CUDA:
+== Installation==
+There are several build options for Katago's derivation.  Katago can use either Eigen, OpenCL, CUDA, or TensorRT.  By default, it uses OpenCL.  To use a different backend override the `backend` attribute, allowed values are "eigen", "opencl", "cuda", and "tensorrt".
+For the eigen and cuda backends either version should be more or less functionally the same.
+===Using CUDA===
      katago.override {
-       enableCuda = true;
+       backend = "cuda";
        cudnn = cudnn_cudatoolkit_10_2; # insert your favorite version of CUDA here (optional)
        cudatoolkit = cudatoolkit_10_2; # I recommend at least CUDA 10, because older versions suffer major performance penalties
@@ Line 12: / Line 16: @@
      }
-Using Eigen:
+===Using Eigen===
+    katago.override {
+      backend = "eigen";
+    }
+===Using TensorRT===
+First download the tensorrt redistributable installer from https://developer.nvidia.com/tensorrt and add it to your nix-store.
+Note that you need an NVidia account (free) to do this.
      katago.override {
-       enableGPU = false;
+       backend = "tensorrt";
+      enableTrtPlanCache = true; # Recommended to speed up booting, but uses additional disk space, so not recommended for contrib.
      }
+==Configuration==
 If your processor support AVX2, you might want to enable it:
@@ Line 36: / Line 51: @@
      }
-Enabling [https://katagotraining.org/] contributions:
+=== Contribute to the neural net ===
+Enabling [https://katagotraining.org/] contributions to the neural net:
      katago.override {
@@ Line 43: / Line 59: @@
 [[Category:Applications]]
+[[Category:Gaming]]