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|
{
lib,
stdenv,
cudaPackages,
buildPythonPackage,
fetchurl,
python,
autoPatchelfHook,
filelock,
lit,
zlib,
}:
buildPythonPackage rec {
pname = "triton";
version = "3.5.1";
format = "wheel";
src =
let
pyVerNoDot = lib.replaceStrings [ "." ] [ "" ] python.pythonVersion;
unsupported = throw "Unsupported system";
srcs = (import ./binary-hashes.nix version)."${stdenv.system}-${pyVerNoDot}" or unsupported;
in
fetchurl srcs;
pythonRemoveDeps = [
"cmake"
# torch and triton refer to each other so this hook is included to mitigate that.
"torch"
];
buildInputs = [ zlib ];
nativeBuildInputs = [
autoPatchelfHook
];
propagatedBuildInputs = [
filelock
lit
zlib
];
dontStrip = true;
# If this breaks, consider replacing with "${cuda_nvcc}/bin/ptxas"
postFixup = ''
mkdir -p $out/${python.sitePackages}/triton/third_party/cuda/bin/
ln -s ${cudaPackages.cuda_nvcc}/bin/ptxas $out/${python.sitePackages}/triton/third_party/cuda/bin/
'';
meta = {
description = "Language and compiler for custom Deep Learning operations";
homepage = "https://github.com/triton-lang/triton/";
changelog = "https://github.com/triton-lang/triton/releases/tag/v${version}";
# Includes NVIDIA's ptxas, but redistributions of the binary are not limited.
# https://docs.nvidia.com/cuda/eula/index.html
# triton's license is MIT.
# triton-bin includes ptxas binary, therefore unfreeRedistributable is set.
license = with lib.licenses; [
unfreeRedistributable
mit
];
sourceProvenance = with lib.sourceTypes; [ binaryNativeCode ];
maintainers = with lib.maintainers; [
GaetanLepage
junjihashimoto
];
};
}
|
