*.nix: nixfmt
nix shell github:piegamesde/nixfmt/rfc101-style --command \ nixfmt flake.nix .devops/nix/*.nix
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1 changed files with 82 additions and 80 deletions
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@ -97,86 +97,88 @@ let
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];
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in
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effectiveStdenv.mkDerivation (finalAttrs: {
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name = "llama.cpp";
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src = ../../.;
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meta = {
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description = "Inference of LLaMA model in pure C/C++${descriptionSuffix}";
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mainProgram = "llama";
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};
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postPatch = ''
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substituteInPlace ./ggml-metal.m \
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--replace '[bundle pathForResource:@"ggml-metal" ofType:@"metal"];' "@\"$out/bin/ggml-metal.metal\";"
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# TODO: Package up each Python script or service appropriately.
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# If we were to migrate to buildPythonPackage and prepare the `pyproject.toml`,
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# we could make those *.py into setuptools' entrypoints
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substituteInPlace ./*.py --replace "/usr/bin/env python" "${llama-python}/bin/python"
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'';
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nativeBuildInputs = [
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cmake
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ninja
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pkg-config
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git
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] ++ optionals useCuda [ cudaPackages.cuda_nvcc ];
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buildInputs =
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[ mpi ]
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++ optionals useOpenCL [ clblast ]
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++ optionals useCuda cudaBuildInputs
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++ optionals useRocm rocmBuildInputs
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++ optionals effectiveStdenv.isDarwin darwinBuildInputs;
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cmakeFlags =
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[
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(cmakeBool "LLAMA_NATIVE" true)
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(cmakeBool "LLAMA_BUILD_SERVER" true)
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(cmakeBool "BUILD_SHARED_LIBS" true)
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(cmakeBool "CMAKE_SKIP_BUILD_RPATH" true)
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(cmakeBool "LLAMA_METAL" useMetalKit)
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(cmakeBool "LLAMA_BLAS" useBlas)
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]
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++ optionals useOpenCL [ (cmakeBool "LLAMA_CLBLAST" true) ]
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++ optionals useCuda [ (cmakeBool "LLAMA_CUBLAS" true) ]
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++ optionals useRocm [
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(cmakeBool "LLAMA_HIPBLAS" true)
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(cmakeFeature "CMAKE_C_COMPILER" "hipcc")
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(cmakeFeature "CMAKE_CXX_COMPILER" "hipcc")
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# Build all targets supported by rocBLAS. When updating search for TARGET_LIST_ROCM
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# in https://github.com/ROCmSoftwarePlatform/rocBLAS/blob/develop/CMakeLists.txt
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# and select the line that matches the current nixpkgs version of rocBLAS.
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# Should likely use `rocmPackages.clr.gpuTargets`.
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"-DAMDGPU_TARGETS=gfx803;gfx900;gfx906:xnack-;gfx908:xnack-;gfx90a:xnack+;gfx90a:xnack-;gfx940;gfx941;gfx942;gfx1010;gfx1012;gfx1030;gfx1100;gfx1101;gfx1102"
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]
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++ optionals useMetalKit [ (lib.cmakeFeature "CMAKE_C_FLAGS" "-D__ARM_FEATURE_DOTPROD=1") ]
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++ optionals useBlas [ (lib.cmakeFeature "LLAMA_BLAS_VENDOR" "OpenBLAS") ];
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# TODO(SomeoneSerge): It's better to add proper install targets at the CMake level,
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# if they haven't been added yet.
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postInstall = ''
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mv $out/bin/main $out/bin/llama
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mv $out/bin/server $out/bin/llama-server
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mkdir -p $out/include
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cp $src/llama.h $out/include/
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'';
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# Define the shells here, but don't add in the inputsFrom to avoid recursion.
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passthru = {
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shell = mkShell {
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name = "default${descriptionSuffix}";
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description = "contains numpy and sentencepiece";
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buildInputs = [ llama-python ];
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inputsFrom = [ finalAttrs.finalPackage ];
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effectiveStdenv.mkDerivation (
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finalAttrs: {
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name = "llama.cpp";
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src = ../../.;
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meta = {
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description = "Inference of LLaMA model in pure C/C++${descriptionSuffix}";
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mainProgram = "llama";
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};
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shell-extra = mkShell {
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name = "extra${descriptionSuffix}";
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description = "contains numpy, sentencepiece, torchWithoutCuda, and transformers";
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buildInputs = [ llama-python-extra ];
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inputsFrom = [ finalAttrs.finalPackage ];
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postPatch = ''
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substituteInPlace ./ggml-metal.m \
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--replace '[bundle pathForResource:@"ggml-metal" ofType:@"metal"];' "@\"$out/bin/ggml-metal.metal\";"
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# TODO: Package up each Python script or service appropriately.
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# If we were to migrate to buildPythonPackage and prepare the `pyproject.toml`,
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# we could make those *.py into setuptools' entrypoints
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substituteInPlace ./*.py --replace "/usr/bin/env python" "${llama-python}/bin/python"
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'';
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nativeBuildInputs = [
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cmake
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ninja
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pkg-config
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git
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] ++ optionals useCuda [ cudaPackages.cuda_nvcc ];
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buildInputs =
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[ mpi ]
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++ optionals useOpenCL [ clblast ]
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++ optionals useCuda cudaBuildInputs
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++ optionals useRocm rocmBuildInputs
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++ optionals effectiveStdenv.isDarwin darwinBuildInputs;
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cmakeFlags =
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[
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(cmakeBool "LLAMA_NATIVE" true)
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(cmakeBool "LLAMA_BUILD_SERVER" true)
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(cmakeBool "BUILD_SHARED_LIBS" true)
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(cmakeBool "CMAKE_SKIP_BUILD_RPATH" true)
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(cmakeBool "LLAMA_METAL" useMetalKit)
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(cmakeBool "LLAMA_BLAS" useBlas)
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]
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++ optionals useOpenCL [ (cmakeBool "LLAMA_CLBLAST" true) ]
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++ optionals useCuda [ (cmakeBool "LLAMA_CUBLAS" true) ]
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++ optionals useRocm [
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(cmakeBool "LLAMA_HIPBLAS" true)
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(cmakeFeature "CMAKE_C_COMPILER" "hipcc")
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(cmakeFeature "CMAKE_CXX_COMPILER" "hipcc")
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# Build all targets supported by rocBLAS. When updating search for TARGET_LIST_ROCM
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# in https://github.com/ROCmSoftwarePlatform/rocBLAS/blob/develop/CMakeLists.txt
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# and select the line that matches the current nixpkgs version of rocBLAS.
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# Should likely use `rocmPackages.clr.gpuTargets`.
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"-DAMDGPU_TARGETS=gfx803;gfx900;gfx906:xnack-;gfx908:xnack-;gfx90a:xnack+;gfx90a:xnack-;gfx940;gfx941;gfx942;gfx1010;gfx1012;gfx1030;gfx1100;gfx1101;gfx1102"
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]
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++ optionals useMetalKit [ (lib.cmakeFeature "CMAKE_C_FLAGS" "-D__ARM_FEATURE_DOTPROD=1") ]
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++ optionals useBlas [ (lib.cmakeFeature "LLAMA_BLAS_VENDOR" "OpenBLAS") ];
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# TODO(SomeoneSerge): It's better to add proper install targets at the CMake level,
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# if they haven't been added yet.
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postInstall = ''
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mv $out/bin/main $out/bin/llama
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mv $out/bin/server $out/bin/llama-server
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mkdir -p $out/include
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cp $src/llama.h $out/include/
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'';
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# Define the shells here, but don't add in the inputsFrom to avoid recursion.
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passthru = {
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shell = mkShell {
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name = "default${descriptionSuffix}";
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description = "contains numpy and sentencepiece";
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buildInputs = [ llama-python ];
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inputsFrom = [ finalAttrs.finalPackage ];
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};
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shell-extra = mkShell {
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name = "extra${descriptionSuffix}";
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description = "contains numpy, sentencepiece, torchWithoutCuda, and transformers";
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buildInputs = [ llama-python-extra ];
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inputsFrom = [ finalAttrs.finalPackage ];
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};
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};
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};
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})
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}
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)
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