Merge pull request #168380 from SomeoneSerge/faiss-cuda-split
faiss: use the redistributable cuda
This commit is contained in:
commit
6c77085e6a
3 changed files with 157 additions and 7 deletions
102
pkgs/development/libraries/nvidia-thrust/default.nix
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102
pkgs/development/libraries/nvidia-thrust/default.nix
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@ -0,0 +1,102 @@
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{ lib
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, config
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, fetchFromGitHub
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, stdenv
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, cmake
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, pkg-config
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, cudaPackages ? { }
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, symlinkJoin
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, tbb
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, hostSystem ? "CPP"
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, deviceSystem ? if config.cudaSupport or false then "CUDA" else "OMP"
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}:
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# Policy for device_vector<T>
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assert builtins.elem deviceSystem [
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"CPP" # Serial on CPU
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"OMP" # Parallel with OpenMP
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"TBB" # Parallel with Intel TBB
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"CUDA" # Parallel on GPU
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];
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# Policy for host_vector<T>
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# Always lives on CPU, but execution can be made parallel
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assert builtins.elem hostSystem [ "CPP" "OMP" "TBB" ];
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let
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pname = "nvidia-thrust";
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version = "1.16.0";
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inherit (cudaPackages) backendStdenv cudaFlags;
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cudaCapabilities = map cudaFlags.dropDot cudaFlags.cudaCapabilities;
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tbbSupport = builtins.elem "TBB" [ deviceSystem hostSystem ];
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cudaSupport = deviceSystem == "CUDA";
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# TODO: Would like to use this:
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cudaJoined = symlinkJoin {
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name = "cuda-packages-unsplit";
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paths = with cudaPackages; [
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cuda_nvcc
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cuda_nvrtc # symbols: cudaLaunchDevice, &c; notice postBuild
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cuda_cudart # cuda_runtime.h
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libcublas
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];
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postBuild = ''
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ln -s $out/lib $out/lib64
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'';
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};
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in
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stdenv.mkDerivation {
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inherit pname version;
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src = fetchFromGitHub {
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owner = "NVIDIA";
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repo = "thrust";
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rev = version;
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fetchSubmodules = true;
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hash = "sha256-/EyznxWKuHuvHNjq+SQg27IaRbtkjXR2zlo2YgCWmUQ=";
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};
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# NVIDIA's "compiler hacks" seem like work-arounds for legacy toolchains and
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# cause us errors such as:
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# > Thrust's test harness uses CMAKE_CXX_COMPILER for the CUDA host compiler.
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# > Refusing to overwrite specified CMAKE_CUDA_HOST_COMPILER
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# So we un-fix cmake after them:
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postPatch = ''
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echo > cmake/ThrustCompilerHacks.cmake
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'';
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buildInputs = lib.optionals tbbSupport [ tbb ];
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nativeBuildInputs = [
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cmake
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pkg-config
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] ++ lib.optionals cudaSupport [
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# Goes in native build inputs because thrust looks for headers
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# in a path relative to nvcc...
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cudaJoined
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];
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cmakeFlags = [
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"-DTHRUST_INCLUDE_CUB_CMAKE=${if cudaSupport then "ON" else "OFF"}"
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"-DTHRUST_DEVICE_SYSTEM=${deviceSystem}"
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"-DTHRUST_HOST_SYSTEM=${hostSystem}"
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"-DTHRUST_AUTO_DETECT_COMPUTE_ARCHS=OFF"
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"-DTHRUST_DISABLE_ARCH_BY_DEFAULT=ON"
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] ++ lib.optionals cudaFlags.enableForwardCompat [
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"-DTHRUST_ENABLE_COMPUTE_FUTURE=ON"
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] ++ map (sm: "THRUST_ENABLE_COMPUTE_${sm}") cudaCapabilities;
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passthru = {
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inherit cudaSupport cudaPackages cudaJoined;
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};
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meta = with lib; {
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description = "A high-level C++ parallel algorithms library that builds on top of CUDA, TBB, OpenMP, etc";
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homepage = "https://github.com/NVIDIA/thrust";
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license = licenses.asl20;
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platforms = platforms.unix;
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maintainers = with maintainers; [ SomeoneSerge ];
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};
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}
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@ -1,21 +1,24 @@
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{ lib
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, config
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, fetchFromGitHub
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, symlinkJoin
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, stdenv
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, cmake
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, cudaPackages
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, cudaPackages ? { }
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, cudaSupport ? config.cudaSupport or false
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, cudaCapabilities ? [ "60" "70" "80" "86" ]
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, nvidia-thrust
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, useThrustSourceBuild ? true
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, pythonSupport ? true
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, pythonPackages
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, llvmPackages
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, boost
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, blas
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, swig
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, addOpenGLRunpath
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, optLevel ? let
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optLevels =
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lib.optional stdenv.hostPlatform.avx2Support "avx2"
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++ lib.optional stdenv.hostPlatform.sse4_1Support "sse4"
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lib.optionals stdenv.hostPlatform.avx2Support [ "avx2" ]
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++ lib.optionals stdenv.hostPlatform.sse4_1Support [ "sse4" ]
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++ [ "generic" ];
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in
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# Choose the maximum available optimization level
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@ -24,10 +27,31 @@
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, runCommand
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}:
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assert cudaSupport -> nvidia-thrust.cudaSupport;
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let
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pname = "faiss";
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version = "1.7.2";
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inherit (cudaPackages) cudatoolkit;
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inherit (cudaPackages) cudaFlags;
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inherit (cudaFlags) cudaCapabilities dropDot;
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cudaJoined = symlinkJoin {
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name = "cuda-packages-unsplit";
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paths = with cudaPackages; [
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cuda_cudart # cuda_runtime.h
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libcublas
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libcurand
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] ++ lib.optionals useThrustSourceBuild [
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nvidia-thrust
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] ++ lib.optionals (!useThrustSourceBuild) [
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cuda_cccl
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] ++ lib.optionals (cudaPackages ? cuda_profiler_api) [
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cuda_profiler_api # cuda_profiler_api.h
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] ++ lib.optionals (!(cudaPackages ? cuda_profiler_api)) [
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cuda_nvprof # cuda_profiler_api.h
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];
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};
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in
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stdenv.mkDerivation {
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inherit pname version;
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@ -50,6 +74,8 @@ stdenv.mkDerivation {
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pythonPackages.wheel
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] ++ lib.optionals stdenv.cc.isClang [
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llvmPackages.openmp
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] ++ lib.optionals cudaSupport [
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cudaJoined
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];
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propagatedBuildInputs = lib.optionals pythonSupport [
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@ -57,7 +83,7 @@ stdenv.mkDerivation {
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];
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nativeBuildInputs = [ cmake ] ++ lib.optionals cudaSupport [
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cudatoolkit
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cudaPackages.cuda_nvcc
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addOpenGLRunpath
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] ++ lib.optionals pythonSupport [
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pythonPackages.python
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"-DFAISS_ENABLE_PYTHON=${if pythonSupport then "ON" else "OFF"}"
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"-DFAISS_OPT_LEVEL=${optLevel}"
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] ++ lib.optionals cudaSupport [
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"-DCMAKE_CUDA_ARCHITECTURES=${lib.concatStringsSep ";" cudaCapabilities}"
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"-DCMAKE_CUDA_ARCHITECTURES=${builtins.concatStringsSep ";" (map dropDot cudaCapabilities)}"
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"-DCUDAToolkit_INCLUDE_DIR=${cudaJoined}/include"
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];
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@ -101,6 +128,11 @@ stdenv.mkDerivation {
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addOpenGLRunpath $demos/bin/*
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'';
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# Need buildPythonPackage for this one
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# pythonCheckImports = [
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# "faiss"
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# ];
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passthru = {
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inherit cudaSupport cudaPackages pythonSupport;
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@ -10316,6 +10316,17 @@ with pkgs;
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nvfetcher = haskell.lib.compose.justStaticExecutables haskellPackages.nvfetcher;
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nvidia-thrust = callPackage ../development/libraries/nvidia-thrust { };
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nvidia-thrust-intel = callPackage ../development/libraries/nvidia-thrust {
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hostSystem = "TBB";
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deviceSystem = if config.cudaSupport or false then "CUDA" else "TBB";
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};
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nvidia-thrust-cuda = callPackage ../development/libraries/nvidia-thrust {
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deviceSystem = "CUDA";
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};
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miller = callPackage ../tools/text/miller { };
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milu = callPackage ../applications/misc/milu { };
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@ -37814,6 +37825,11 @@ with pkgs;
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swig = swig4;
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};
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faissWithCuda = faiss.override {
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cudaSupport = true;
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nvidia-thrust = nvidia-thrust-cuda;
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};
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fityk = callPackage ../applications/science/misc/fityk { };
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galario = callPackage ../development/libraries/galario { };
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