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4 Commits

Author SHA1 Message Date
Georgi Gerganov
a814d04f81 make : fix indentation 2023-07-21 13:50:55 +03:00
Georgi Gerganov
4c013bb738 ci : fix MNT realpath usage (#2250) 2023-07-21 13:49:18 +03:00
Sky Yan
42c7c2e2e9 make : support customized LLAMA_CUDA_NVCC and LLAMA_CUDA_CCBIN (#2275)
Under certain environment, nvcc and gcc is installed under customized path but not standard path

Co-authored-by: Yan Lin <yanlin@baidu.com>
2023-07-21 13:38:57 +03:00
wzy
78a3d13424 flake : remove intel mkl from flake.nix due to missing files (#2277)
NixOS's mkl misses some libraries like mkl-sdl.pc. See #2261
Currently NixOS doesn't have intel C compiler (icx, icpx). See https://discourse.nixos.org/t/packaging-intel-math-kernel-libraries-mkl/975
So remove it from flake.nix

Some minor changes:

- Change pkgs.python310 to pkgs.python3 to keep latest
- Add pkgconfig to devShells.default
- Remove installPhase because we have `cmake --install` from #2256
2023-07-21 13:26:34 +03:00
5 changed files with 18 additions and 34 deletions

View File

@@ -186,16 +186,7 @@ if (LLAMA_BLAS)
pkg_check_modules(DepBLAS REQUIRED flexiblas_api)
elseif (${LLAMA_BLAS_VENDOR} MATCHES "Intel")
# all Intel* libraries share the same include path
pkg_check_modules(DepBLAS mkl-sdl)
if (NOT DepBLAS)
if (BUILD_SHARED_LIBS)
set(LINK_METHOD dynamic)
else()
set(LINK_METHOD static)
endif()
string(REGEX REPLACE ".*_" "" DATA_TYPE_MODEL ${LLAMA_BLAS_VENDOR})
pkg_check_modules(DepBLAS REQUIRED mkl-${LINK_METHOD}-${DATA_TYPE_MODEL}-iomp)
endif()
pkg_check_modules(DepBLAS REQUIRED mkl-sdl)
elseif (${LLAMA_BLAS_VENDOR} MATCHES "NVHPC")
# this doesn't provide pkg-config
# suggest to assign BLAS_INCLUDE_DIRS on your own

View File

@@ -193,8 +193,12 @@ ifdef LLAMA_CUBLAS
CXXFLAGS += -DGGML_USE_CUBLAS -I/usr/local/cuda/include -I/opt/cuda/include -I$(CUDA_PATH)/targets/x86_64-linux/include
LDFLAGS += -lcublas -lculibos -lcudart -lcublasLt -lpthread -ldl -lrt -L/usr/local/cuda/lib64 -L/opt/cuda/lib64 -L$(CUDA_PATH)/targets/x86_64-linux/lib
OBJS += ggml-cuda.o
NVCC = nvcc
NVCCFLAGS = --forward-unknown-to-host-compiler
ifdef LLAMA_CUDA_NVCC
NVCC = $(LLAMA_CUDA_NVCC)
else
NVCC = nvcc
endif #LLAMA_CUDA_NVCC
ifdef CUDA_DOCKER_ARCH
NVCCFLAGS += -Wno-deprecated-gpu-targets -arch=$(CUDA_DOCKER_ARCH)
else
@@ -223,7 +227,9 @@ ifdef LLAMA_CUDA_KQUANTS_ITER
else
NVCCFLAGS += -DK_QUANTS_PER_ITERATION=2
endif
ifdef LLAMA_CUDA_CCBIN
NVCCFLAGS += -ccbin $(LLAMA_CUDA_CCBIN)
endif
ggml-cuda.o: ggml-cuda.cu ggml-cuda.h
$(NVCC) $(NVCCFLAGS) $(CXXFLAGS) -Wno-pedantic -c $< -o $@
endif # LLAMA_CUBLAS

View File

@@ -360,7 +360,7 @@ Building the program with BLAS support may lead to some performance improvements
```bash
mkdir build
cd build
cmake .. -DLLAMA_BLAS=ON -DLLAMA_BLAS_VENDOR=Intel10_lp64 -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx
cmake .. -DLLAMA_BLAS=ON -DLLAMA_BLAS_VENDOR=Intel10_64lp -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx
cmake --build . --config Release
```

View File

@@ -243,7 +243,7 @@ function gg_sum_open_llama_3b_v2 {
if [ -z $GG_BUILD_LOW_PERF ]; then
rm -rf ${SRC}/models-mnt
mnt_models=$(realpath ${MNT}/models)
mnt_models=${MNT}/models
mkdir -p ${mnt_models}
ln -sfn ${mnt_models} ${SRC}/models-mnt

View File

@@ -6,7 +6,7 @@
outputs = { self, nixpkgs, flake-utils }:
flake-utils.lib.eachDefaultSystem (system:
let
inherit (pkgs.stdenv) isAarch32 isAarch64 isx86_32 isx86_64 isDarwin;
inherit (pkgs.stdenv) isAarch32 isAarch64 isDarwin;
osSpecific = with pkgs; [ openmpi ] ++
(
if isAarch64 && isDarwin then
@@ -22,14 +22,13 @@
CoreGraphics
CoreVideo
]
else if isx86_32 || isx86_64 then
with pkgs; [ mkl ]
else
with pkgs; [ openblas ]
);
pkgs = import nixpkgs { inherit system; };
nativeBuildInputs = with pkgs; [ cmake pkgconfig ];
llama-python =
pkgs.python310.withPackages (ps: with ps; [ numpy sentencepiece ]);
pkgs.python3.withPackages (ps: with ps; [ numpy sentencepiece ]);
in {
packages.default = pkgs.stdenv.mkDerivation {
name = "llama.cpp";
@@ -37,33 +36,21 @@
postPatch = ''
substituteInPlace ./ggml-metal.m \
--replace '[bundle pathForResource:@"ggml-metal" ofType:@"metal"];' "@\"$out/bin/ggml-metal.metal\";"
substituteInPlace ./*.py --replace '/usr/bin/env python' '${llama-python}/bin/python'
'';
nativeBuildInputs = with pkgs; [ cmake pkgconfig ];
nativeBuildInputs = nativeBuildInputs;
buildInputs = osSpecific;
cmakeFlags = [ "-DLLAMA_BUILD_SERVER=ON" "-DLLAMA_MPI=ON" "-DBUILD_SHARED_LIBS=ON" "-DCMAKE_SKIP_BUILD_RPATH=ON" ]
++ (if isAarch64 && isDarwin then [
"-DCMAKE_C_FLAGS=-D__ARM_FEATURE_DOTPROD=1"
"-DLLAMA_METAL=ON"
] else if isx86_32 || isx86_64 then [
"-DLLAMA_BLAS=ON"
"-DLLAMA_BLAS_VENDOR=Intel10_lp64"
] else [
"-DLLAMA_BLAS=ON"
"-DLLAMA_BLAS_VENDOR=OpenBLAS"
]);
installPhase = ''
runHook preInstall
install -D bin/* -t $out/bin
install -Dm644 lib*.so -t $out/lib
postInstall = ''
mv $out/bin/main $out/bin/llama
mv $out/bin/server $out/bin/llama-server
echo "#!${llama-python}/bin/python" > $out/bin/convert.py
cat ${./convert.py} >> $out/bin/convert.py
chmod +x $out/bin/convert.py
runHook postInstall
'';
meta.mainProgram = "llama";
};
@@ -81,7 +68,7 @@
};
apps.default = self.apps.${system}.llama;
devShells.default = pkgs.mkShell {
packages = with pkgs; [ cmake llama-python ] ++ osSpecific;
packages = nativeBuildInputs ++ osSpecific;
};
});
}