onnxruntime 1.12.1 -> 1.13.1 https://repology.org/metapackage/onnxruntime/versions attrpath: onnxruntime Checking auto update branch... No auto update branch exists Old version 1.12.1" not present in master derivation file with contents: { stdenv , lib , fetchFromGitHub , fetchpatch , fetchurl , pkg-config , cmake , python3Packages , libpng , zlib , eigen , protobuf , howard-hinnant-date , nlohmann_json , boost , oneDNN , abseil-cpp_202111 , gtest , pythonSupport ? false , nsync , flatbuffers }: # Python Support # # When enabling Python support a wheel is made and stored in a `dist` output. # This wheel is then installed in a separate derivation. assert pythonSupport -> lib.versionOlder protobuf.version "3.20"; stdenv.mkDerivation rec { pname = "onnxruntime"; version = "1.13.1"; src = fetchFromGitHub { owner = "microsoft"; repo = "onnxruntime"; rev = "v${version}"; sha256 = "sha256-paaeq6QeiOzwiibbz0GkYZxEI/V80lvYNYTm6AuyAXQ="; fetchSubmodules = true; }; patches = [ # Use dnnl from nixpkgs instead of submodules (fetchpatch { name = "system-dnnl.patch"; url = "https://aur.archlinux.org/cgit/aur.git/plain/system-dnnl.diff?h=python-onnxruntime&id=9c392fb542979981fe0026e0fe3cc361a5f00a36"; sha256 = "sha256-+kedzJHLFU1vMbKO9cn8fr+9A5+IxIuiqzOfR2AfJ0k="; }) ]; nativeBuildInputs = [ cmake pkg-config python3Packages.python gtest ] ++ lib.optionals pythonSupport (with python3Packages; [ setuptools wheel pip pythonOutputDistHook ]); buildInputs = [ libpng zlib howard-hinnant-date nlohmann_json boost oneDNN protobuf ] ++ lib.optionals pythonSupport [ nsync python3Packages.numpy python3Packages.pybind11 python3Packages.packaging ]; # TODO: build server, and move .so's to lib output # Python's wheel is stored in a separate dist output outputs = [ "out" "dev" ] ++ lib.optionals pythonSupport [ "dist" ]; enableParallelBuilding = true; cmakeDir = "../cmake"; cmakeFlags = [ "-Donnxruntime_PREFER_SYSTEM_LIB=ON" "-Donnxruntime_BUILD_SHARED_LIB=ON" "-Donnxruntime_ENABLE_LTO=ON" "-Donnxruntime_BUILD_UNIT_TESTS=ON" "-Donnxruntime_USE_PREINSTALLED_EIGEN=ON" "-Donnxruntime_USE_MPI=ON" "-Deigen_SOURCE_PATH=${eigen.src}" "-DFETCHCONTENT_SOURCE_DIR_ABSEIL_CPP=${abseil-cpp_202111.src}" "-Donnxruntime_USE_DNNL=YES" ] ++ lib.optionals pythonSupport [ "-Donnxruntime_ENABLE_PYTHON=ON" ]; doCheck = true; postPatch = '' substituteInPlace cmake/libonnxruntime.pc.cmake.in \ --replace '$'{prefix}/@CMAKE_INSTALL_ @CMAKE_INSTALL_ ''; postBuild = lib.optionalString pythonSupport '' python ../setup.py bdist_wheel ''; postInstall = '' # perform parts of `tools/ci_build/github/linux/copy_strip_binary.sh` install -m644 -Dt $out/include \ ../include/onnxruntime/core/framework/provider_options.h \ ../include/onnxruntime/core/providers/cpu/cpu_provider_factory.h \ ../include/onnxruntime/core/session/onnxruntime_*.h ''; passthru = { inherit protobuf; tests = lib.optionalAttrs pythonSupport { python = python3Packages.onnxruntime; }; }; meta = with lib; { description = "Cross-platform, high performance scoring engine for ML models"; longDescription = '' ONNX Runtime is a performance-focused complete scoring engine for Open Neural Network Exchange (ONNX) models, with an open extensible architecture to continually address the latest developments in AI and Deep Learning. ONNX Runtime stays up to date with the ONNX standard with complete implementation of all ONNX operators, and supports all ONNX releases (1.2+) with both future and backwards compatibility. ''; homepage = "https://github.com/microsoft/onnxruntime"; changelog = "https://github.com/microsoft/onnxruntime/releases/tag/v${version}"; # https://github.com/microsoft/onnxruntime/blob/master/BUILD.md#architectures platforms = platforms.unix; license = licenses.mit; maintainers = with maintainers; [ jonringer puffnfresh ck3d ]; }; }