[request] oneMKL

[valgur]

Package Name/Version

oneMKL

Webpage

https://spec.oneapi.io/versions/latest/elements/oneMKL/source/index.html

Source code

https://github.com/oneapi-src/oneMKL

Description of the library/tool

The oneAPI Math Kernel Library (oneMKL) defines a set of fundamental mathematical routines for use in high-performance computing and other applications. As part of oneAPI, oneMKL is designed to allow execution on a wide variety of computational devices: CPUs, GPUs, FPGAs, and other accelerators. The functionality is subdivided into several domains: dense linear algebra, sparse linear algebra, discrete Fourier transforms, random number generators and vector math.

oneMKL would provide an alternative to BLAS and LAPACK currently provided by OpenBLAS, but optimized heavily for Intel CPU-s.

[Nekto89]

I'm currently trying to repack libraries from oneMKL installers that are provided by Intel on Windows/Linux. oneMKL seems to be using circular dependencies and conan doesn't support it
conan-io/conan#4928
conan-io/conan#6530
conan-io/conan#10935

[valgur]

@Nekto89 Thanks for looking into it! That circular dependencies issue might be a pretty hard blocker for now. 😐

I started experimenting with a oneMKL recipe (the non-interfaces one) as well, here: https://github.com/valgur/conan-center-index/blob/new/onemkl/recipes/onemkl/all/conanfile.py

Sounds like you have something much more complete in the works. I would gladly collaborate on it, if you can share your current state.

[Nekto89]

@Nekto89 Thanks for looking into it! That circular dependencies issue might be a pretty hard blocker for now. 😐

I started experimenting with a oneMKL recipe (the non-interfaces one) as well, here: https://github.com/valgur/conan-center-index/blob/new/onemkl/recipes/onemkl/all/conanfile.py

Sounds like you have something much more complete in the works. I would gladly collaborate on it, if you can share your current state.

My version is worse than yours.
I need small subset of functionality so my recipe solves only my problem. I didn't find fast way to unpack files from installers so I installed them on my machine before running conan.

conan export-pkg -nr -of "C:\Program Files (x86)\Intel\oneAPI\mkl\2024.1" -pr:b ... -pr:h ... --name onemkl --version 2021.4.0 -s os=Windows -s build_type=Release C:/.../recipes/onemkl/all/conanfile.py

conan export-pkg -nr -of "~/intel/oneapi/mkl/2024.1" -pr:b ... -pr:h ... --name onemkl --version 2021.4.0 "$recipe_dir/conanfile.py"

from conan import ConanFile
from conan.errors import ConanInvalidConfiguration
from conan.tools.env import VirtualBuildEnv, VirtualRunEnv
from conan.tools.files import copy
import os

required_conan_version = ">=2.0.17"


class onemklConan(ConanFile):
    name = "onemkl"
    description = "The fastest and most-used math library for Intel®-based systems."
    homepage = "https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html"
    license = "Intel Simplified Software License"
    topics = ("intel")
    package_type = "static-library"
    settings = "os", "arch", "compiler", "build_type"
    build_policy = "never"

    def layout(self):
        pass

    def requirements(self):
        self.requires("onetbb/2021.9.0")

    def package_id(self):
        if self.info.settings.os == "Windows":
            self.info.settings.build_type = "Debug" if self.info.settings.build_type == "Debug" else "Release"
        else:
            del self.info.settings.build_type
        self.info.requires.unrelated_mode()
        del self.info.settings.compiler

    def validate(self):
        if self.settings.arch != "x86_64":
            raise ConanInvalidConfiguration(f"{self.ref} supports only x86_64")
        if not self.settings.os in ["Windows", "Linux"]:
            raise ConanInvalidConfiguration(f"{self.ref} supports only Windows and Linux")

    def source(self):
        pass

    def generate(self):
        VirtualBuildEnv(self)
        VirtualRunEnv(self)

    def build(self):
        pass

    def package(self):
        lib_suffix = "lib" if self.settings.os == "Windows" else "a"
        lib_prefix = "" if self.settings.os == "Windows" else "lib"
        debug_suffix = "d" if self.settings.os == "Windows" and self.settings.build_type == "Debug" else ""
        source_lib_folder = os.path.join(self.build_folder, "lib")
        target_lib_folder = os.path.join(self.package_folder, "lib")
        copy(self, f"{lib_prefix}mkl_intel_ilp64.{lib_suffix}", source_lib_folder, target_lib_folder)
        copy(self, f"{lib_prefix}mkl_core.{lib_suffix}", source_lib_folder, target_lib_folder)
        copy(self, f"{lib_prefix}mkl_tbb_thread{debug_suffix}.{lib_suffix}", source_lib_folder, target_lib_folder)
        source_include_folder = os.path.join(self.build_folder, "include")
        target_include_folder = os.path.join(self.package_folder, "include")
        copy(self, "*", source_include_folder, target_include_folder)
        source_license_folder = os.path.join(self.build_folder, "share", "doc", "mkl", "licensing")
        target_license_folder = os.path.join(self.package_folder, "licenses")
        copy(self, "*", source_license_folder, target_license_folder)

        #ugly workaround. conan doesn't support circular dependencies
        if self.settings.os == "Linux":
            os.symlink("libmkl_core.a", os.path.join(self.package_folder, "lib", "libmkl_core2.a"))
            os.symlink("libmkl_core.a", os.path.join(self.package_folder, "lib", "libmkl_core3.a"))
            os.symlink("libmkl_tbb_thread.a", os.path.join(self.package_folder, "lib", "libmkl_tbb_thread2.a"))

    def package_info(self):
        debug_suffix = "d" if self.settings.os == "Windows" and self.settings.build_type == "Debug" else ""
        self.cpp_info.libs = ["mkl_intel_ilp64", "mkl_core", f"mkl_tbb_thread{debug_suffix}"]
        if self.settings.os == "Linux":
            #ugly workaround. conan doesn't support circular dependencies
            self.cpp_info.libs.extend(["mkl_core2", "mkl_tbb_thread2", "mkl_core3"])
        self.cpp_info.set_property("cmake_file_name", "MKL")
        self.cpp_info.set_property("cmake_target_name", "MKL::MKL")
        self.cpp_info.defines.append("MKL_ILP64")

[Croydon]

FYI, upstream just dropped Conan

uxlfoundation/oneMath#267
uxlfoundation/oneMath@8c907b4

But was broken for 3 years anyway: uxlfoundation/oneMath#117