Files
2026-06-21 16:56:43 +00:00

215 lines
6.2 KiB
Nix

{
lib,
stdenv,
cmake,
git,
ninja,
fetchFromGitHub,
SDL2,
wget,
which,
ffmpeg,
autoAddDriverRunpath,
makeWrapper,
nix-update-script,
metalSupport ? stdenv.hostPlatform.isDarwin && stdenv.hostPlatform.isAarch64,
coreMLSupport ? stdenv.hostPlatform.isDarwin && true,
config,
cudaSupport ? config.cudaSupport,
cudaPackages ? { },
rocmSupport ? config.rocmSupport,
rocmPackages ? { },
rocmGpuTargets ? builtins.concatStringsSep ";" rocmPackages.clr.gpuTargets,
vulkanSupport ? false,
shaderc,
vulkan-headers,
vulkan-loader,
withSDL ? true,
withFFmpegSupport ? stdenv.hostPlatform.isLinux,
}:
assert metalSupport -> stdenv.hostPlatform.isDarwin;
assert coreMLSupport -> stdenv.hostPlatform.isDarwin;
assert withFFmpegSupport -> stdenv.hostPlatform.isLinux;
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
effectiveStdenv = if cudaSupport then cudaPackages.backendStdenv else stdenv;
inherit (lib)
cmakeBool
cmakeFeature
optional
optionals
;
inherit (effectiveStdenv.hostPlatform)
isStatic
isLinux
isAarch64
isx86
;
cudaBuildInputs = with cudaPackages; [
cccl # <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
libcublas
];
rocmBuildInputs = with rocmPackages; [
clr
hipblas
rocblas
];
vulkanBuildInputs = [
shaderc
vulkan-headers
vulkan-loader
];
in
effectiveStdenv.mkDerivation (finalAttrs: {
pname = "whisper-cpp";
version = "1.8.7";
src = fetchFromGitHub {
owner = "ggml-org";
repo = "whisper.cpp";
tag = "v${finalAttrs.version}";
hash = "sha256-hzgO2IqV1+JQjiYBBmFSOLfp1BgH0DgU0TZyO7OzFHE=";
};
# The upstream download script tries to download the models to the
# directory of the script, which is not writable due to being
# inside the nix store. This patch changes the script to download
# the models to the current directory of where it is being run from.
patches = [ ./download-models.patch ];
postPatch = ''
for target in examples/{bench,command,cli,quantize,server,stream,talk-llama}/CMakeLists.txt; do
if ! grep -q -F 'install('; then
echo 'install(TARGETS ''${TARGET} RUNTIME)' >> $target
${lib.optionalString stdenv.hostPlatform.isDarwin "echo 'install(TARGETS whisper.coreml LIBRARY)' >> src/CMakeLists.txt"}
fi
done
'';
nativeBuildInputs = [
cmake
git
ninja
which
makeWrapper
]
++ lib.optionals cudaSupport [
cudaPackages.cuda_nvcc
autoAddDriverRunpath
];
buildInputs =
optional withSDL SDL2
++ optional withFFmpegSupport ffmpeg
++ optionals cudaSupport cudaBuildInputs
++ optionals rocmSupport rocmBuildInputs
++ optionals vulkanSupport vulkanBuildInputs;
cmakeFlags = [
(cmakeBool "WHISPER_BUILD_EXAMPLES" true)
(cmakeBool "GGML_CUDA" cudaSupport)
(cmakeBool "GGML_HIPBLAS" rocmSupport)
(cmakeBool "GGML_VULKAN" vulkanSupport)
(cmakeBool "WHISPER_SDL2" withSDL)
(cmakeBool "GGML_LTO" true)
(cmakeBool "GGML_NATIVE" false)
(cmakeBool "BUILD_SHARED_LIBS" (!isStatic))
]
++ optionals isLinux [
(cmakeBool "WHISPER_COMMON_FFMPEG" withFFmpegSupport)
]
++ optionals (isx86 && !isStatic) [
(cmakeBool "GGML_BACKEND_DL" true)
(cmakeBool "GGML_CPU_ALL_VARIANTS" true)
(cmakeFeature "GGML_BACKEND_DIR" "${placeholder "out"}/lib")
]
++ optionals cudaSupport [
(cmakeFeature "CMAKE_CUDA_ARCHITECTURES" cudaPackages.flags.cmakeCudaArchitecturesString)
]
++ 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.
(cmakeFeature "AMDGPU_TARGETS" rocmGpuTargets)
]
++ optionals coreMLSupport [
(cmakeBool "WHISPER_COREML" true)
(cmakeBool "WHISPER_COREML_ALLOW_FALLBACK" true)
]
++ optionals metalSupport [
(cmakeFeature "CMAKE_C_FLAGS" "-D__ARM_FEATURE_DOTPROD=1")
(cmakeBool "GGML_METAL" true)
(cmakeBool "GGML_METAL_EMBED_LIBRARY" true)
];
postInstall = ''
install -v -D -m755 "$src/models/download-ggml-model.sh" "$out/bin/whisper-cpp-download-ggml-model"
wrapProgram "$out/bin/whisper-cpp-download-ggml-model" \
--prefix PATH : ${lib.makeBinPath [ wget ]}
''
+ lib.optionalString withFFmpegSupport ''
wrapProgram "$out/bin/whisper-server" \
--prefix PATH : ${lib.makeBinPath [ ffmpeg ]}
'';
requiredSystemFeatures = optionals rocmSupport [ "big-parallel" ]; # rocmSupport multiplies build time by the number of GPU targets, which takes arround 30 minutes on a 16-cores system to build
# libcuda.so is provided by the driver at runtime and is not available in the sandbox
# /nix/store/...-whisper-cpp-1.8.3/bin/whisper-cli: error while loading shared libraries: libcuda.so.1: cannot open shared object file: No such file or directory
# NOTE: it is unclear why this isn't an issue on x86_64-linux
doInstallCheck = !(isLinux && isAarch64 && cudaSupport);
installCheckPhase = ''
runHook preInstallCheck
"$out/bin/whisper-cli" --help >/dev/null
runHook postInstallCheck
'';
postFixup = ''
substituteInPlace $out/lib/pkgconfig/whisper.pc \
--replace-fail '//' '/'
'';
passthru.updateScript = nix-update-script { };
meta = {
description = "Port of OpenAI's Whisper model in C/C++";
longDescription = ''
To download the models as described in the project's readme, you may
use the `whisper-cpp-download-ggml-model` binary from this package.
'';
homepage = "https://github.com/ggerganov/whisper.cpp";
license = lib.licenses.mit;
mainProgram = "whisper-cli";
platforms = lib.platforms.all;
badPlatforms = optionals cudaSupport lib.platforms.darwin;
maintainers = with lib.maintainers; [
hughobrien
aviallon
];
};
})