300 lines
12 KiB
Python
300 lines
12 KiB
Python
# Copyright 2013-2024 Lawrence Livermore National Security, LLC and other
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# Spack Project Developers. See the top-level COPYRIGHT file for details.
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#
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# SPDX-License-Identifier: (Apache-2.0 OR MIT)
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from os.path import dirname, isdir
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from spack.package import *
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@IntelOneApiPackage.update_description
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class IntelOneapiMkl(IntelOneApiLibraryPackage):
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"""Intel oneAPI Math Kernel Library (Intel oneMKL; formerly Intel Math
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Kernel Library or Intel MKL), is a library of optimized math
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routines for science, engineering, and financial
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applications. Core math functions include BLAS, LAPACK,
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ScaLAPACK, sparse solvers, fast Fourier transforms, and vector
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math.
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"""
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maintainers("rscohn2")
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homepage = (
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"https://software.intel.com/content/www/us/en/develop/tools/oneapi/components/onemkl.html"
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)
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version(
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"2024.2.2",
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url="https://registrationcenter-download.intel.com/akdlm/IRC_NAS/89a381f6-f85d-4dda-ae62-30d51470f53c/l_onemkl_p_2024.2.2.17_offline.sh",
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sha256="6b64ab95567bee53d6cf7e78f9f7b15695902fb9da0d20c29e638ad001b6b348",
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expand=False,
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)
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version(
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"2024.2.1",
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url="https://registrationcenter-download.intel.com/akdlm/IRC_NAS/6e00e368-b61d-4f87-a409-9b510c022a37/l_onemkl_p_2024.2.1.105_offline.sh",
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sha256="adfb1391f87a0a638772ac3146db92126a4accf4da1fe8707a000b27dd2448ef",
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expand=False,
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)
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version(
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"2024.2.0",
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url="https://registrationcenter-download.intel.com/akdlm/IRC_NAS/cdff21a5-6ac7-4b41-a7ec-351b5f9ce8fd/l_onemkl_p_2024.2.0.664_offline.sh",
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sha256="f1f46f5352c197a9840e08fc191a879dad79ebf742fe782e386ba8006f262f7a",
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expand=False,
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)
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version(
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"2024.1.0",
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url="https://registrationcenter-download.intel.com/akdlm/IRC_NAS/2f3a5785-1c41-4f65-a2f9-ddf9e0db3ea0/l_onemkl_p_2024.1.0.695_offline.sh",
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sha256="b121bc70d3493ef1fbd05f077b1cd27ac4eb2fd1099f44e9f4b8a1366995fb92",
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expand=False,
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)
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version(
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"2024.0.0",
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url="https://registrationcenter-download.intel.com/akdlm//IRC_NAS/86d6a4c1-c998-4c6b-9fff-ca004e9f7455/l_onemkl_p_2024.0.0.49673_offline.sh",
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sha256="2a3be7d01d75ba8cc3059f9a32ae72e5bfc93e68e72e94e79d7fa6ea2f7814de",
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expand=False,
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)
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version(
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"2023.2.0",
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url="https://registrationcenter-download.intel.com/akdlm/IRC_NAS/adb8a02c-4ee7-4882-97d6-a524150da358/l_onemkl_p_2023.2.0.49497_offline.sh",
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sha256="4a0d93da85a94d92e0ad35dc0fc3b3ab7f040bd55ad374c4d5ec81a57a2b872b",
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expand=False,
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)
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version(
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"2023.1.0",
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url="https://registrationcenter-download.intel.com/akdlm/IRC_NAS/cd17b7fe-500e-4305-a89b-bd5b42bfd9f8/l_onemkl_p_2023.1.0.46342_offline.sh",
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sha256="cc28c94cab23c185520b93c5a04f3979d8da6b4c90cee8c0681dd89819d76167",
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expand=False,
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)
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version(
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"2023.0.0",
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url="https://registrationcenter-download.intel.com/akdlm/IRC_NAS/19138/l_onemkl_p_2023.0.0.25398_offline.sh",
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sha256="0d61188e91a57bdb575782eb47a05ae99ea8eebefee6b2dfe20c6708e16e9927",
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expand=False,
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)
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version(
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"2022.2.1",
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url="https://registrationcenter-download.intel.com/akdlm/IRC_NAS/19038/l_onemkl_p_2022.2.1.16993_offline.sh",
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sha256="eedd4b795720de776b1fc5f542ae0fac37ec235cdb567f7c2ee3182e73e3e59d",
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expand=False,
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)
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version(
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"2022.2.0",
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url="https://registrationcenter-download.intel.com/akdlm/IRC_NAS/18898/l_onemkl_p_2022.2.0.8748_offline.sh",
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sha256="07d7caedd4b9f025c6fd439a0d2c2f279b18ecbbb63cadb864f6c63c1ed942db",
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expand=False,
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)
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version(
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"2022.1.0",
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url="https://registrationcenter-download.intel.com/akdlm/IRC_NAS/18721/l_onemkl_p_2022.1.0.223_offline.sh",
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sha256="4b325a3c4c56e52f4ce6c8fbb55d7684adc16425000afc860464c0f29ea4563e",
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expand=False,
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)
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version(
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"2022.0.2",
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url="https://registrationcenter-download.intel.com/akdlm/IRC_NAS/18483/l_onemkl_p_2022.0.2.136_offline.sh",
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sha256="134b748825a474acc862bb4a7fada99741a15b7627cfaa6ba0fb05ec0b902b5e",
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expand=False,
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)
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version(
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"2022.0.1",
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url="https://registrationcenter-download.intel.com/akdlm/IRC_NAS/18444/l_onemkl_p_2022.0.1.117_offline.sh",
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sha256="22afafbe2f3762eca052ac21ec40b845ff2f3646077295c88c2f37f80a0cc160",
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expand=False,
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)
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version(
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"2021.4.0",
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url="https://registrationcenter-download.intel.com/akdlm/IRC_NAS/18222/l_onemkl_p_2021.4.0.640_offline.sh",
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sha256="9ad546f05a421b4f439e8557fd0f2d83d5e299b0d9bd84bdd86be6feba0c3915",
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expand=False,
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)
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version(
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"2021.3.0",
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url="https://registrationcenter-download.intel.com/akdlm/IRC_NAS/17901/l_onemkl_p_2021.3.0.520_offline.sh",
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sha256="a06e1cdbfd8becc63440b473b153659885f25a6e3c4dcb2907ad9cd0c3ad59ce",
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expand=False,
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)
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version(
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"2021.2.0",
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url="https://registrationcenter-download.intel.com/akdlm/IRC_NAS/17757/l_onemkl_p_2021.2.0.296_offline.sh",
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sha256="816e9df26ff331d6c0751b86ed5f7d243f9f172e76f14e83b32bf4d1d619dbae",
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expand=False,
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)
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version(
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"2021.1.1",
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url="https://registrationcenter-download.intel.com/akdlm/IRC_NAS/17402/l_onemkl_p_2021.1.1.52_offline.sh",
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sha256="818b6bd9a6c116f4578cda3151da0612ec9c3ce8b2c8a64730d625ce5b13cc0c",
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expand=False,
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)
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variant("gfortran", default=False, description="Compatibility with GNU Fortran")
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variant("shared", default=True, description="Builds shared library")
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variant("ilp64", default=False, description="Build with ILP64 support")
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variant(
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"cluster", default=False, description="Build with cluster support: scalapack, blacs, etc"
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)
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variant(
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"mpi_family",
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default="none",
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values=("none", "mpich", "openmpi"),
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description="MPI family",
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multi=False,
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)
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variant(
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"threads",
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default="none",
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description="Multithreading support",
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values=("openmp", "tbb", "none"),
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multi=False,
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)
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requires(
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"%clang",
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"%gcc",
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"%intel",
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"%oneapi",
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policy="one_of",
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when="threads=openmp",
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msg="MKL with OpenMP threading requires GCC, clang, or Intel compilers",
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)
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depends_on("tbb")
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# cluster libraries need mpi
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depends_on("mpi", when="+cluster")
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# If a +cluster then mpi_family must be set
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with when("+cluster"):
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conflicts("mpi_family=none")
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requires("mpi_family=mpich", when="^intel-oneapi-mpi")
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requires("mpi_family=mpich", when="^intel-mpi")
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requires("mpi_family=mpich", when="^mpich")
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requires("mpi_family=mpich", when="^mvapich")
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requires("mpi_family=mpich", when="^mvapich2")
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requires("mpi_family=mpich", when="^cray-mpich")
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requires("mpi_family=openmpi", when="^openmpi")
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requires("mpi_family=openmpi", when="^hpcx-mpi")
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provides("fftw-api@3")
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provides("scalapack", when="+cluster")
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provides("mkl")
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provides("lapack", "blas")
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@run_after("install")
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def fixup_installation(self):
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# fixup missing path in mkl cmake files. This issue was new in
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# 2024.0.0 and expected to be fixed in the next release.
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if self.spec.satisfies("@2024.0.0"):
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# cannot use spack patch because this is applied to the
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# installed mkl, not sources
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filter_file(
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'PATH_SUFFIXES "lib"',
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'PATH_SUFFIXES "lib" "../../compiler/latest/lib"',
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self.component_prefix.lib.cmake.mkl.join("MKLConfig.cmake"),
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backup=False,
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)
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@property
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def v2_layout_versions(self):
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return "@2024:"
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@property
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def component_dir(self):
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return "mkl"
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@property
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def libs(self):
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shared = self.spec.satisfies("+shared")
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libs = self._find_mkl_libs(shared)
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system_libs = find_system_libraries(["libpthread", "libm", "libdl"])
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if shared:
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return libs + system_libs
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else:
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return IntelOneApiStaticLibraryList(libs, system_libs)
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def setup_dependent_build_environment(self, env, dependent_spec):
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# Only if environment modifications are desired (default is +envmods)
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if self.spec.satisfies("+envmods"):
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env.set("MKLROOT", self.component_prefix)
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# 2023.1.0 has the pkgconfig files in lib/pkgconfig, 2021.3.0 has them in
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# tools/pkgconfig, just including both in PKG_CONFIG_PATH
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env.append_path("PKG_CONFIG_PATH", self.component_prefix.lib.pkgconfig)
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env.append_path("PKG_CONFIG_PATH", self.component_prefix.tools.pkgconfig)
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def _find_mkl_libs(self, shared):
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libs = []
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if self.spec.satisfies("+cluster"):
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libs.extend([self._xlp64_lib("libmkl_scalapack"), "libmkl_cdft_core"])
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# Explicit variant for compatibility with gfortran, otherwise
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# support intel fortran. Be aware that some dependencies may
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# be using this logic and other dependencies might be using
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# cmake for the library list and they have to be consistent.
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# https://github.com/spack/spack/pull/43673 for discussion
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if self.spec.satisfies("+gfortran"):
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depends_on("fortran", type="build")
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libs.append(self._xlp64_lib("libmkl_gf"))
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else:
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libs.append(self._xlp64_lib("libmkl_intel"))
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if self.spec.satisfies("threads=tbb"):
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libs.append("libmkl_tbb_thread")
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elif self.spec.satisfies("threads=openmp"):
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if self.spec.satisfies("%oneapi") or self.spec.satisfies("%intel"):
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libs.append("libmkl_intel_thread")
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else:
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libs.append("libmkl_gnu_thread")
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else:
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libs.append("libmkl_sequential")
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libs.append("libmkl_core")
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if self.spec.satisfies("+cluster"):
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if self.spec.satisfies("mpi_family=mpich"):
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libs.append(self._xlp64_lib("libmkl_blacs_intelmpi"))
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elif self.spec.satisfies("mpi_family=openmpi"):
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libs.append(self._xlp64_lib("libmkl_blacs_openmpi"))
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lib_path = (
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self.component_prefix.lib if self.v2_layout else self.component_prefix.lib.intel64
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)
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lib_path = lib_path if isdir(lib_path) else dirname(lib_path)
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# resolved_libs is populated as follows
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# MKL-related + MPI-related + threading-related
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resolved_libs = find_libraries(libs, lib_path, shared=shared)
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# Add MPI libraries for cluster support. If MPI is not in the
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# spec, then MKL is externally installed and application must
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# link with MPI libaries. If MPI is in spec, but there are no
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# libraries, then the package (e.g. hpcx-mpi) relies on the
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# compiler wrapper to add the libraries.
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try:
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if self.spec.satisfies("+cluster ^mpi"):
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resolved_libs = resolved_libs + self.spec["mpi"].libs
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except spack.error.NoLibrariesError:
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pass
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if self.spec.satisfies("threads=openmp"):
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resolved_libs += self.openmp_libs()
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return resolved_libs
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def _xlp64_lib(self, lib):
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return lib + ("_ilp64" if self.spec.satisfies("+ilp64") else "_lp64")
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@run_after("install")
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def fixup_prefix(self):
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# The motivation was to provide a more standard layout so mkl
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# would be more likely to work as a virtual dependence. I am
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# not sure if this mechanism is useful and it became a problem
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# for mpi so disabling for v2_layout.
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if self.v2_layout:
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return
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self.symlink_dir(self.component_prefix.include, self.prefix.include)
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self.symlink_dir(self.component_prefix.lib, self.prefix.lib)
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