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{
lib,
glibc,
config,
stdenv,
mkShell,
runCommand,
cmake,
ninja,
pkg-config,
git,
python3,
mpi,
blas,
cudaPackages,
darwin,
rocmPackages,
vulkan-headers,
vulkan-loader,
clblast,
useBlas ? builtins.all (x: !x) [
useCuda
useMetalKit
useOpenCL
useRocm
useVulkan
] && blas.meta.available,
useCuda ? config.cudaSupport,
useMetalKit ? stdenv.isAarch64 && stdenv.isDarwin && !useOpenCL,
useMpi ? false, # Increases the runtime closure size by ~700M
useOpenCL ? false,
useRocm ? config.rocmSupport,
useVulkan ? false,
llamaVersion ? "0.0.0", # Arbitrary version, substituted by the flake
# It's necessary to consistently use backendStdenv when building with CUDA support,
# otherwise we get libstdc++ errors downstream.
effectiveStdenv ? if useCuda then cudaPackages.backendStdenv else stdenv,
enableStatic ? effectiveStdenv.hostPlatform.isStatic,
precompileMetalShaders ? false
}@inputs:
let
inherit (lib)
cmakeBool
cmakeFeature
optionals
strings
versionOlder
;
stdenv = throw "Use effectiveStdenv instead";
suffices =
lib.optionals useBlas [ "BLAS" ]
++ lib.optionals useCuda [ "CUDA" ]
++ lib.optionals useMetalKit [ "MetalKit" ]
++ lib.optionals useMpi [ "MPI" ]
++ lib.optionals useOpenCL [ "OpenCL" ]
++ lib.optionals useRocm [ "ROCm" ]
++ lib.optionals useVulkan [ "Vulkan" ];
pnameSuffix =
strings.optionalString (suffices != [ ])
"-${strings.concatMapStringsSep "-" strings.toLower suffices}";
descriptionSuffix =
strings.optionalString (suffices != [ ])
", accelerated with ${strings.concatStringsSep ", " suffices}";
executableSuffix = effectiveStdenv.hostPlatform.extensions.executable;
# TODO: package the Python in this repository in a Nix-like way.
# It'd be nice to migrate to buildPythonPackage, as well as ensure this repo
# is PEP 517-compatible, and ensure the correct .dist-info is generated.
# https://peps.python.org/pep-0517/
#
# TODO: Package up each Python script or service appropriately, by making
# them into "entrypoints"
llama-python = python3.withPackages (
ps: [
ps.numpy
ps.sentencepiece
]
);
# TODO(Green-Sky): find a better way to opt-into the heavy ml python runtime
llama-python-extra = python3.withPackages (
ps: [
ps.numpy
ps.sentencepiece
ps.tiktoken
ps.torchWithoutCuda
ps.transformers
]
);
xcrunHost = runCommand "xcrunHost" {} ''
mkdir -p $out/bin
ln -s /usr/bin/xcrun $out/bin
'';
# apple_sdk is supposed to choose sane defaults, no need to handle isAarch64
# separately
darwinBuildInputs =
with darwin.apple_sdk.frameworks;
[
Accelerate
CoreVideo
CoreGraphics
]
++ optionals useMetalKit [ MetalKit ];
cudaBuildInputs = with cudaPackages; [
cuda_cccl.dev # <nv/target>
# A temporary hack for reducing the closure size, remove once cudaPackages
# have stopped using lndir: https://github.com/NixOS/nixpkgs/issues/271792
cuda_cudart.dev
cuda_cudart.lib
cuda_cudart.static
libcublas.dev
libcublas.lib
libcublas.static
];
rocmBuildInputs = with rocmPackages; [
clr
hipblas
rocblas
];
vulkanBuildInputs = [
vulkan-headers
vulkan-loader
];
in
effectiveStdenv.mkDerivation (
finalAttrs: {
pname = "llama-cpp${pnameSuffix}";
version = llamaVersion;
# Note: none of the files discarded here are visible in the sandbox or
# affect the output hash. This also means they can be modified without
# triggering a rebuild.
src = lib.cleanSourceWith {
filter =
name: type:
let
noneOf = builtins.all (x: !x);
baseName = baseNameOf name;
in
noneOf [
(lib.hasSuffix ".nix" name) # Ignore *.nix files when computing outPaths
(lib.hasSuffix ".md" name) # Ignore *.md changes whe computing outPaths
(lib.hasPrefix "." baseName) # Skip hidden files and directories
(baseName == "flake.lock")
];
src = lib.cleanSource ../../.;
};
postPatch = ''
substituteInPlace ./ggml-metal.m \
--replace '[bundle pathForResource:@"ggml-metal" ofType:@"metal"];' "@\"$out/bin/ggml-metal.metal\";"
substituteInPlace ./ggml-metal.m \
--replace '[bundle pathForResource:@"default" ofType:@"metallib"];' "@\"$out/bin/default.metallib\";"
'';
# With PR#6015 https://github.com/ggerganov/llama.cpp/pull/6015,
# `default.metallib` may be compiled with Metal compiler from XCode
# and we need to escape sandbox on MacOS to access Metal compiler.
# `xcrun` is used find the path of the Metal compiler, which is varible
# and not on $PATH
# see https://github.com/ggerganov/llama.cpp/pull/6118 for discussion
__noChroot = effectiveStdenv.isDarwin && useMetalKit && precompileMetalShaders;
nativeBuildInputs =
[
cmake
ninja
pkg-config
git
]
++ optionals useCuda [
cudaPackages.cuda_nvcc
# TODO: Replace with autoAddDriverRunpath
# once https://github.com/NixOS/nixpkgs/pull/275241 has been merged
cudaPackages.autoAddOpenGLRunpathHook
]
++ optionals (effectiveStdenv.hostPlatform.isGnu && enableStatic) [
glibc.static
] ++ optionals (effectiveStdenv.isDarwin && useMetalKit && precompileMetalShaders) [
xcrunHost
];
buildInputs =
optionals effectiveStdenv.isDarwin darwinBuildInputs
++ optionals useCuda cudaBuildInputs
++ optionals useMpi [ mpi ]
++ optionals useOpenCL [ clblast ]
++ optionals useRocm rocmBuildInputs
++ optionals useBlas [ blas ]
++ optionals useVulkan vulkanBuildInputs;
cmakeFlags =
[
(cmakeBool "LLAMA_NATIVE" false)
(cmakeBool "LLAMA_BUILD_SERVER" true)
(cmakeBool "BUILD_SHARED_LIBS" (!enableStatic))
(cmakeBool "CMAKE_SKIP_BUILD_RPATH" true)
(cmakeBool "LLAMA_BLAS" useBlas)
(cmakeBool "LLAMA_CLBLAST" useOpenCL)
(cmakeBool "LLAMA_CUDA" useCuda)
(cmakeBool "LLAMA_HIPBLAS" useRocm)
(cmakeBool "LLAMA_METAL" useMetalKit)
(cmakeBool "LLAMA_MPI" useMpi)
(cmakeBool "LLAMA_VULKAN" useVulkan)
(cmakeBool "LLAMA_STATIC" enableStatic)
]
++ optionals useCuda [
(
with cudaPackages.flags;
cmakeFeature "CMAKE_CUDA_ARCHITECTURES" (
builtins.concatStringsSep ";" (map dropDot cudaCapabilities)
)
)
]
++ optionals useRocm [
(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 useMetalKit [
(lib.cmakeFeature "CMAKE_C_FLAGS" "-D__ARM_FEATURE_DOTPROD=1")
(cmakeBool "LLAMA_METAL_EMBED_LIBRARY" (!precompileMetalShaders))
];
# TODO(SomeoneSerge): It's better to add proper install targets at the CMake level,
# if they haven't been added yet.
postInstall = ''
mv $out/bin/main${executableSuffix} $out/bin/llama${executableSuffix}
mv $out/bin/server${executableSuffix} $out/bin/llama-server${executableSuffix}
mkdir -p $out/include
cp $src/llama.h $out/include/
'';
# Define the shells here, but don't add in the inputsFrom to avoid recursion.
passthru = {
inherit
useBlas
useCuda
useMetalKit
useMpi
useOpenCL
useRocm
useVulkan
;
shell = mkShell {
name = "shell-${finalAttrs.finalPackage.name}";
description = "contains numpy and sentencepiece";
buildInputs = [ llama-python ];
inputsFrom = [ finalAttrs.finalPackage ];
shellHook = ''
addToSearchPath "LD_LIBRARY_PATH" "${lib.getLib effectiveStdenv.cc.cc}/lib"
'';
};
shell-extra = mkShell {
name = "shell-extra-${finalAttrs.finalPackage.name}";
description = "contains numpy, sentencepiece, torchWithoutCuda, and transformers";
buildInputs = [ llama-python-extra ];
inputsFrom = [ finalAttrs.finalPackage ];
};
};
meta = {
# Configurations we don't want even the CI to evaluate. Results in the
# "unsupported platform" messages. This is mostly a no-op, because
# cudaPackages would've refused to evaluate anyway.
badPlatforms = optionals (useCuda || useOpenCL) lib.platforms.darwin;
# Configurations that are known to result in build failures. Can be
# overridden by importing Nixpkgs with `allowBroken = true`.
broken = (useMetalKit && !effectiveStdenv.isDarwin);
description = "Inference of LLaMA model in pure C/C++${descriptionSuffix}";
homepage = "https://github.com/ggerganov/llama.cpp/";
license = lib.licenses.mit;
# Accommodates `nix run` and `lib.getExe`
mainProgram = "llama";
# These people might respond, on the best effort basis, if you ping them
# in case of Nix-specific regressions or for reviewing Nix-specific PRs.
# Consider adding yourself to this list if you want to ensure this flake
# stays maintained and you're willing to invest your time. Do not add
# other people without their consent. Consider removing people after
# they've been unreachable for long periods of time.
# Note that lib.maintainers is defined in Nixpkgs, but you may just add
# an attrset following the same format as in
# https://github.com/NixOS/nixpkgs/blob/f36a80e54da29775c78d7eff0e628c2b4e34d1d7/maintainers/maintainer-list.nix
maintainers = with lib.maintainers; [
philiptaron
SomeoneSerge
];
# Extend `badPlatforms` instead
platforms = lib.platforms.all;
};
}
)
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