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{ lib
, cmake
, darwin
, fetchFromGitHub
, nix-update-script
, stdenv
, config
, cudaSupport ? config.cudaSupport
, cudaPackages ? { }
, rocmSupport ? config.rocmSupport
, rocmPackages ? { }
, openclSupport ? false
, clblast
, blasSupport ? builtins.all (x: !x) [ cudaSupport metalSupport openclSupport rocmSupport vulkanSupport ]
, pkg-config
, metalSupport ? stdenv.isDarwin && stdenv.isAarch64 && !openclSupport
, vulkanSupport ? false
, mpiSupport ? false # Increases the runtime closure by ~700M
, vulkan-headers
, vulkan-loader
, ninja
, git
, mpi
}:
let
# It's necessary to consistently use backendStdenv when building with CUDA support,
# otherwise we get libstdc++ errors downstream.
# cuda imposes an upper bound on the gcc version, e.g. the latest gcc compatible with cudaPackages_11 is gcc11
effectiveStdenv = if cudaSupport then cudaPackages.backendStdenv else stdenv;
inherit (lib) cmakeBool cmakeFeature optionals;
darwinBuildInputs =
with darwin.apple_sdk.frameworks;
[
Accelerate
CoreVideo
CoreGraphics
]
++ optionals metalSupport [ MetalKit ];
cudaBuildInputs = with cudaPackages; [
cuda_cccl.dev # <nv/target>
# A temporary hack for reducing the closure size, remove once cudaPackages
# have stopped using lndir: https://github.com/NixOS/nixpkgs/issues/271792
cuda_cudart.dev
cuda_cudart.lib
cuda_cudart.static
libcublas.dev
libcublas.lib
libcublas.static
];
rocmBuildInputs = with rocmPackages; [
clr
hipblas
rocblas
];
vulkanBuildInputs = [
vulkan-headers
vulkan-loader
];
in
effectiveStdenv.mkDerivation (finalAttrs: {
pname = "llama-cpp";
version = "2481";
src = fetchFromGitHub {
owner = "ggerganov";
repo = "llama.cpp";
rev = "refs/tags/b${finalAttrs.version}";
hash = "sha256-40GSZZEnjM9L9KVVKdSKtBoSRy996l98ORM4NeltsSM=";
};
postPatch = ''
substituteInPlace ./ggml-metal.m \
--replace '[bundle pathForResource:@"ggml-metal" ofType:@"metal"];' "@\"$out/bin/ggml-metal.metal\";"
'';
nativeBuildInputs = [ cmake ninja pkg-config git ]
++ optionals cudaSupport [
cudaPackages.cuda_nvcc
cudaPackages.autoAddDriverRunpath
];
buildInputs = optionals effectiveStdenv.isDarwin darwinBuildInputs
++ optionals cudaSupport cudaBuildInputs
++ optionals mpiSupport mpi
++ optionals openclSupport [ clblast ]
++ optionals rocmSupport rocmBuildInputs
++ optionals vulkanSupport vulkanBuildInputs;
cmakeFlags = [
# -march=native is non-deterministic; override with platform-specific flags if needed
(cmakeBool "LLAMA_NATIVE" false)
(cmakeBool "BUILD_SHARED_SERVER" true)
(cmakeBool "BUILD_SHARED_LIBS" true)
(cmakeBool "BUILD_SHARED_LIBS" true)
(cmakeBool "LLAMA_BLAS" blasSupport)
(cmakeBool "LLAMA_CLBLAST" openclSupport)
(cmakeBool "LLAMA_CUBLAS" cudaSupport)
(cmakeBool "LLAMA_HIPBLAS" rocmSupport)
(cmakeBool "LLAMA_METAL" metalSupport)
(cmakeBool "LLAMA_MPI" mpiSupport)
(cmakeBool "LLAMA_VULKAN" vulkanSupport)
]
++ optionals cudaSupport [
(
with cudaPackages.flags;
cmakeFeature "CMAKE_CUDA_ARCHITECTURES" (
builtins.concatStringsSep ";" (map dropDot cudaCapabilities)
)
)
]
++ optionals rocmSupport [
(cmakeFeature "CMAKE_C_COMPILER" "hipcc")
(cmakeFeature "CMAKE_CXX_COMPILER" "hipcc")
# Build all targets supported by rocBLAS. When updating search for TARGET_LIST_ROCM
# in https://github.com/ROCmSoftwarePlatform/rocBLAS/blob/develop/CMakeLists.txt
# and select the line that matches the current nixpkgs version of rocBLAS.
# Should likely use `rocmPackages.clr.gpuTargets`.
"-DAMDGPU_TARGETS=gfx803;gfx900;gfx906:xnack-;gfx908:xnack-;gfx90a:xnack+;gfx90a:xnack-;gfx940;gfx941;gfx942;gfx1010;gfx1012;gfx1030;gfx1100;gfx1101;gfx1102"
]
++ optionals metalSupport [ (cmakeFeature "CMAKE_C_FLAGS" "-D__ARM_FEATURE_DOTPROD=1") ]
++ optionals blasSupport [ (cmakeFeature "LLAMA_BLAS_VENDOR" "OpenBLAS") ];
# upstream plans on adding targets at the cmakelevel, remove those
# additional steps after that
postInstall = ''
mv $out/bin/main $out/bin/llama
mv $out/bin/server $out/bin/llama-server
mkdir -p $out/include
cp $src/llama.h $out/include/
'';
passthru.updateScript = nix-update-script {
attrPath = "llama-cpp";
extraArgs = [ "--version-regex" "b(.*)" ];
};
meta = with lib; {
description = "Port of Facebook's LLaMA model in C/C++";
homepage = "https://github.com/ggerganov/llama.cpp/";
license = licenses.mit;
mainProgram = "llama";
maintainers = with maintainers; [ dit7ya elohmeier philiptaron ];
platforms = platforms.unix;
badPlatforms = optionals (cudaSupport || openclSupport) lib.platforms.darwin;
broken = (metalSupport && !effectiveStdenv.isDarwin);
};
})
|
