dlib: add flag to disable AVX support
Especially older hardware doesn't support AVX instructions. DLib is still functional there, but significantly slower[1]. By setting `avxInstructions` to false, DLib will be compiled without this feature. [1] http://dlib.net/compile.html
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@ -882,6 +882,33 @@ citrix_receiver.override {
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On NixOS it can be installed using the following expression:
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<programlisting>{ pkgs, ... }: {
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fonts.fonts = with pkgs; [ noto-fonts-emoji ];
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}</programlisting>
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</para>
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</section>
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</section>
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<section xml:id="dlib">
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<title>DLib</title>
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<para>
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<link xlink:href="http://dlib.net/">DLib</link> is a modern, C++-based toolkit which
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provides several machine learning algorithms.
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</para>
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<section xml:id="compiling-without-avx-support">
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<title>Compiling without AVX support</title>
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<para>
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Especially older CPUs don't support
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<link xlink:href="https://en.wikipedia.org/wiki/Advanced_Vector_Extensions">AVX</link>
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(<abbrev>Advanced Vector Extensions</abbrev>) instructions that are used by DLib to
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optimize their algorithms.
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</para>
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<para>
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On the affected hardware errors like <literal>Illegal instruction</literal> will occur.
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In those cases AVX support needs to be disabled:
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<programlisting>self: super: {
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dlib = super.dlib.override { avxSupport = false; };
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}</programlisting>
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</para>
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</section>
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@ -1,5 +1,8 @@
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{ stdenv, lib, fetchFromGitHub, cmake, pkgconfig, libpng, libjpeg
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, guiSupport ? false, libX11
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# see http://dlib.net/compile.html
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, avxSupport ? true
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}:
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stdenv.mkDerivation rec {
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@ -17,6 +20,8 @@ stdenv.mkDerivation rec {
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rm -rf dlib/external
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'';
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cmakeFlags = [ "-DUSE_AVX_INSTRUCTIONS=${if avxSupport then "yes" else "no"}" ];
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enableParallelBuilding = true;
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nativeBuildInputs = [ cmake pkgconfig ];
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buildInputs = [ libpng libjpeg ] ++ lib.optional guiSupport libX11;
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@ -1,12 +1,17 @@
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{ buildPythonPackage, dlib, python, pytest }:
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{ buildPythonPackage, dlib, python, pytest, avxSupport ? true }:
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buildPythonPackage {
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inherit (dlib) name src nativeBuildInputs buildInputs meta;
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# although AVX can be enabled, we never test with it. Some Hydra machines
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# fail because of this, however their build results are probably used on hardware
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# with AVX support.
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checkPhase = ''
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${python.interpreter} nix_run_setup test --no USE_AVX_INSTRUCTIONS
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'';
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setupPyBuildFlags = [ "--${if avxSupport then "yes" else "no"} USE_AVX_INSTRUCTIONS" ];
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patches = [ ./build-cores.patch ];
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checkInputs = [ pytest ];
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