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172 lines
15 KiB
172 lines
15 KiB
package("mkl") |
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set_homepage("https://software.intel.com/content/www/us/en/develop/tools/oneapi/components/onemkl.html") |
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set_description("Intel® oneAPI Math Kernel Library") |
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if is_plat("windows") then |
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if is_arch("x64") then |
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add_urls("https://software.repos.intel.com/python/conda/$(version).tar.bz2", {version = function (version) |
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local mv = version:split("%+") |
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return format("win-64/mkl-static-%s-intel_%s", mv[1], mv[2]) |
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end}) |
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add_versions("2022.2.0+9563", "82ed56af423fa6f2fef46085e267695feb5fd079a5eabb6353a99598ff2a7879") |
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add_resources("2022.2.0+9563", "headers", "https://software.repos.intel.com/python/conda/win-64/mkl-include-2022.2.0-intel_9563.tar.bz2", "da4458b2c8f86b7e8d2772e1d992b8913dd74fb9d0822559eb9538aa36125a45") |
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add_versions("2022.2.1+19754", "a1c3592caeb248ec16698d2a0971b6c6fa8eae1ddfd0cc575d8ec1d02e607ee6") |
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add_resources("2022.2.1+19754", "headers", "https://software.repos.intel.com/python/conda/win-64/mkl-include-2022.2.1-intel_19754.tar.bz2", "675519d77dfbf38bfa3dd94f37d3d1fa9f74b32f089e50123605ff3d45752c44") |
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add_versions("2023.2.0+49496", "21a9fe03ba80009934a50b9d75f16757b9e49415e44245ced3b896fd471351ca") |
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add_resources("2023.2.0+49496", "headers", "https://software.repos.intel.com/python/conda/win-64/mkl-include-2023.2.0-intel_49496.tar.bz2", "daa93c899e6c7627232fa60e67a2b6079cd29752e8ba1251ae895a57e51defa7") |
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add_versions("2024.1.0+692", "6431647057cd8757a464a3f6ab2099139e059d04446f04443afd2570febe42bf") |
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add_resources("2024.1.0+692", "headers", "https://software.repos.intel.com/python/conda/win-64/mkl-include-2024.1.0-intel_692.tar.bz2", "28229844aa6c19870531452e5805ab876da4a5df896a9e753e6b481da2d389cb") |
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add_versions("2024.2.0+661", "e760103a484d5132f0af35e58ccad7b576536d38744141e776f3ad1673adc455") |
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add_resources("2024.2.0+661", "headers", "https://software.repos.intel.com/python/conda/win-64/mkl-include-2024.2.0-intel_661.tar.bz2", "34f5cc20b6d2ab7c82f301b108fa2ac48e1f6c0acd8ad166897fb53184d5c93e") |
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add_versions("2024.2.1+102", "fa0767ee84e93f59fd4ae92434a1110cd0830b254229b9ffdce36c60adebd574") |
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add_resources("2024.2.1+102", "headers", "https://software.repos.intel.com/python/conda/win-64/mkl-include-2024.2.1-intel_102.tar.bz2", "54f362cbb74c9cb787e76248e30910316b24dfda273d872149b3f2ecb5893057") |
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add_versions("2024.2.2+14", "b80676e8fa65e5e5d82cfc6759ea2a61088bddf3ab144161bf2323ec8fe474c3") |
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add_resources("2024.2.2+14", "headers", "https://software.repos.intel.com/python/conda/win-64/mkl-include-2024.2.2-intel_14.tar.bz2", "06b8cba21654bb21f6d535d6757c805e93330f11dc7dc5eaa55e926be9e20c4b") |
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elseif is_arch("x86") then |
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add_urls("https://software.repos.intel.com/python/conda/$(version).tar.bz2", {version = function (version) |
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local mv = version:split("%+") |
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return format("win-32/mkl-static-%s-intel_%s", mv[1], mv[2]) |
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end}) |
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add_versions("2022.2.0+9563", "2cf2098ce3f6c14f1c86c850a6c4f5519966f6a70589ac4bf4cb0013b575f282") |
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add_resources("2022.2.0+9563", "headers", "https://software.repos.intel.com/python/conda/win-32/mkl-include-2022.2.0-intel_9563.tar.bz2", "4b05540349b3aaa55e5b0e3b51d4286649ae76b1c1d763a56ffcdad1bb927bf9") |
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add_versions("2022.2.1+19754", "b663b6916996d7b090ef4a8c1d270b9a1a84b1bdefe85cc01e778f8e629b7a6c") |
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add_resources("2022.2.1+19754", "headers", "https://software.repos.intel.com/python/conda/win-32/mkl-include-2022.2.1-intel_19754.tar.bz2", "04c3ce3f1e6e23e575f904fbdafd089f3241bf28ca1005b2464d87795295dc50") |
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add_versions("2023.2.0+49496", "4795b6a00b1b7ae5c608de67ba2c79ad152223d0eaf4aba46db848bbae268718") |
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add_resources("2023.2.0+49496", "headers", "https://software.repos.intel.com/python/conda/win-32/mkl-include-2023.2.0-intel_49496.tar.bz2", "0ed907ecc2eaae0ed8c280814392b5b80cc19df78838d9688273a12bd72c7bf8") |
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add_versions("2024.1.0+692", "7a8622f23a27fa487f08653645b6dc3f46b10f5b60ea2b90377812571730d0d9") |
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add_resources("2024.1.0+692", "headers", "https://software.repos.intel.com/python/conda/win-32/mkl-include-2024.1.0-intel_692.tar.bz2", "8994e1c5b5599934e83eb964a136be98dc5a6355f3f5b35cab44cdc0e8b970dd") |
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add_versions("2024.2.0+661", "0a126754b76cf41e9fbc10e7cb70d69018059a2a413560938184b7886bced28b") |
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add_resources("2024.2.0+661", "headers", "https://software.repos.intel.com/python/conda/win-32/mkl-include-2024.2.0-intel_661.tar.bz2", "431feac62519a0d65c85e801d7329cb7caa66ced53a0b4d26f15420d06d1717d") |
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add_versions("2024.2.1+102", "133b0d10a1225293742a6355c08752a8d6c9ef1ec744be8ed60b92d035558006") |
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add_resources("2024.2.1+102", "headers", "https://software.repos.intel.com/python/conda/win-32/mkl-include-2024.2.1-intel_102.tar.bz2", "ac7bc36bd84a144c03ba44f4f146caa91af549a3ddcf302513b3ed75dd0a153e") |
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add_versions("2024.2.2+14", "bcfb0170aa7bac9bd633b9d8965b3e4b3633802bb537165f22db7c7a15f70ead") |
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add_resources("2024.2.2+14", "headers", "https://software.repos.intel.com/python/conda/win-32/mkl-include-2024.2.2-intel_14.tar.bz2", "81e1cc1960b10626f0c2209e21bf013bf4bf8cfc4a1ba38b2301d20aa0e1d6d6") |
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end |
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elseif is_plat("macosx") and is_arch("x86_64") then |
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add_urls("https://software.repos.intel.com/python/conda/$(version).tar.bz2", {version = function (version) |
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local mv = version:split("%+") |
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return format("osx-64/mkl-static-%s-intel_%s", mv[1], mv[2]) |
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end}) |
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add_versions("2022.2.0+8687", "cd5ecb73ec922d2b8ae6e06f6caa0549113911f76b2eac1969566a8edb92c301") |
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add_resources("2022.2.0+8687", "headers", "https://software.repos.intel.com/python/conda/osx-64/mkl-include-2022.2.0-intel_8687.tar.bz2", "2efc298a72ef7e49ba6142055352666c261ca592a3d5779e62a012334bf52a6b") |
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add_versions("2022.2.1+15346", "bce4e4d72117242c2a3cf75fcac134e7c3baabf7334003ec0f377ab7123ce30d") |
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add_resources("2022.2.1+15346", "headers", "https://software.repos.intel.com/python/conda/osx-64/mkl-include-2022.2.1-intel_15346.tar.bz2", "fa14e44b3adbcc156aa7b531c4e83143cf9d31fe990210cb6d5d5456f8a417a8") |
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add_versions("2023.2.0+49499", "2e2f6bd275e439f82f081e28e774dec663718b199a696da635934536a51faa73") |
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add_resources("2023.2.0+49499", "headers", "https://software.repos.intel.com/python/conda/osx-64/mkl-include-2023.2.0-intel_49499.tar.bz2", "c3940a33498df821821c28dc292f7d7a739b11892856fd9fbbc3de5cf0990b00") |
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elseif is_plat("linux") then |
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if is_arch("x86_64") then |
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add_urls("https://software.repos.intel.com/python/conda/$(version).tar.bz2", {version = function (version) |
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local mv = version:split("%+") |
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return format("linux-64/mkl-static-%s-intel_%s", mv[1], mv[2]) |
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end}) |
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add_versions("2022.2.0+8748", "cbcff4024be9830a9fb7f640d4555ea4f3a9c4dd503df67a42f11b940286b7b3") |
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add_resources("2022.2.0+8748", "headers", "https://software.repos.intel.com/python/conda/linux-64/mkl-include-2022.2.0-intel_8748.tar.bz2", "9dd06c499ec890294b2909a0784303e94b14d88c6e95ae4ffee308f16fd55121") |
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add_versions("2022.2.1+16993", "4f1e738b7b54763a211b52702dea763d1c5dff352cb14a6155244634b58b28f9") |
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add_resources("2022.2.1+16993", "headers", "https://software.repos.intel.com/python/conda/linux-64/mkl-include-2022.2.1-intel_16993.tar.bz2", "144b4939c875ae52b5479317e73be839f5b26b3b0e2c3a52bd59507bc25be56c") |
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add_versions("2024.1.0+691", "be8833b094253d51abe49de418f7db2260f4c8f32514969a4a2eabaadc5d55c2") |
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add_resources("2024.1.0+691", "headers", "https://software.repos.intel.com/python/conda/linux-64/mkl-include-2024.1.0-intel_691.tar.bz2", "e36b2e74f5c28ff91565abe47a09dc246c9cf725e0d05b5fb08813b4073ea68b") |
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add_versions("2024.2.0+663", "7ee44680030cf187c430a34051ccf37a2c697ad82b62fb0508dfe7a94d7e27f7") |
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add_resources("2024.2.0+663", "headers", "https://software.repos.intel.com/python/conda/linux-64/mkl-include-2024.2.0-intel_663.tar.bz2", "2e29ca36f199bafed778230b054256593c2d572aeb050389fd87355ba0466d13") |
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add_versions("2024.2.1+103", "cde63703ea42627c50ad6dfb3ec336e18fa957964d40e5472783d82c461c083a") |
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add_resources("2024.2.1+103", "headers", "https://software.repos.intel.com/python/conda/linux-64/mkl-include-2024.2.1-intel_103.tar.bz2", "df19cbc68fda9e125445df8ea94a7af2c6a8cb009193104741c9f2d1223de193") |
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add_versions("2024.2.2+15", "5dc0f934f4a8dbb8e297f5f57b4e069fd71cbb87c4e3225f12670f802b246b3a") |
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add_resources("2024.2.2+15", "headers", "https://software.repos.intel.com/python/conda/linux-64/mkl-include-2024.2.2-intel_15.tar.bz2", "a64890440a9155104472f32a6c83215386edfd26b6a5a881548a74f3a2e65981") |
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elseif is_arch("i386") then |
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add_urls("https://software.repos.intel.com/python/conda/$(version).tar.bz2", {version = function (version) |
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local mv = version:split("%+") |
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return format("linux-32/mkl-static-%s-intel_%s", mv[1], mv[2]) |
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end}) |
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add_versions("2022.2.0+8748", "af6b8cb0a6b61a97c6048bf57c5e807ff7052e845da69078f992671e393262a6") |
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add_resources("2022.2.0+8748", "headers", "https://software.repos.intel.com/python/conda/linux-32/mkl-include-2022.2.0-intel_8748.tar.bz2", "64f7d55059d0d85e0a88507304a54356ec9713f5dee1b205462aa0f97b0f6683") |
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add_versions("2022.2.1+16993", "e588ea2583d2e5cbf072574531610cf0acae8490dc4432b41a9f3ddb5e67dece") |
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add_resources("2022.2.1+16993", "headers", "https://software.repos.intel.com/python/conda/linux-32/mkl-include-2022.2.1-intel_16993.tar.bz2", "2deec097b972d7784b26b454169af302a0d4e26cc1d65cbb4ed72baf00a8849e") |
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add_versions("2023.2.0+49495", "9cdcb26ebbbe1510611f01f75780c0e69522d5df73395370a73c81413beaa56a") |
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add_resources("2023.2.0+49495", "headers", "https://software.repos.intel.com/python/conda/linux-32/mkl-include-2023.2.0-intel_49495.tar.bz2", "b4433c6839bb7f48951b2dcf409dec7306aee3649c539ee0513d8bfb1a1ea283") |
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add_versions("2024.1.0+691", "8bd52f73844edc59fe925fa9edef66a7158e502df7c06ddc532d1b370df4fb7d") |
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add_resources("2024.1.0+691", "headers", "https://software.repos.intel.com/python/conda/linux-32/mkl-include-2024.1.0-intel_691.tar.bz2", "88529f8bea2498e88b2cf8dc7aa3735f46f348cf5047006dfc6455f8e2bbdd30") |
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add_versions("2024.2.0+663", "505eea9981643dac10f342eca80603982365f6b598e6435e07c9d5385622f578") |
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add_resources("2024.2.0+663", "headers", "https://software.repos.intel.com/python/conda/linux-32/mkl-include-2024.2.0-intel_663.tar.bz2", "d97e655707590ba38d1240a4f9be3f60df2bc82f3ab5f7b16cf2735d4d9ba401") |
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add_versions("2024.2.1+103", "def6c66abfcefd2d9cb0ed32a2d4bd2b4961ef4e5f5f72a4c699fd63456fc959") |
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add_resources("2024.2.1+103", "headers", "https://software.repos.intel.com/python/conda/linux-32/mkl-include-2024.2.1-intel_103.tar.bz2", "4595375b6b04847721f84a88122089fa4a9d28a4d26afe89d44334c6edf56e84") |
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add_versions("2024.2.2+15", "47207da3090687f1ca042a09cfff3c39e0bb63093eb9319afc1694ce9f33bc56") |
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add_resources("2024.2.2+15", "headers", "https://software.repos.intel.com/python/conda/linux-32/mkl-include-2024.2.2-intel_15.tar.bz2", "347cf16676df797ddcba3a4289c7dc64624138583ba35f0c63d0a19b48c89596") |
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end |
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end |
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add_configs("threading", {description = "Choose threading modal for mkl.", default = "tbb", type = "string", values = {"tbb", "openmp", "gomp", "seq"}}) |
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add_configs("interface", {description = "Choose index integer size for the interface.", default = 32, values = {32, 64}}) |
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on_fetch("fetch") |
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if is_plat("linux") then |
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add_syslinks("pthread", "dl") |
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end |
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on_load(function (package) |
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-- Refer to [oneAPI Math Kernel Library Link Line Advisor](https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl-link-line-advisor.html) |
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-- to get the link option for MKL library. |
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local suffix = (package:config("interface") == 32 and "lp64" or "ilp64") |
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if package:config("interface") == 64 then |
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package:add("defines", "MKL_ILP64") |
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end |
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package:add("links", package:is_arch("x64", "x86_64") and "mkl_blas95_" .. suffix or "mkl_blas95") |
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package:add("links", package:is_arch("x64", "x86_64") and "mkl_lapack95_" .. suffix or "mkl_lapack95") |
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if package:has_tool("cc", "gcc", "gxx") then |
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local flags = {"-Wl,--start-group"} |
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table.insert(flags, package:is_arch("x64", "x86_64") and "-lmkl_intel_" .. suffix or "-lmkl_intel") |
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local threading = package:config("threading") |
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if threading == "tbb" then |
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table.insert(flags, "-lmkl_tbb_thread") |
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package:add("deps", "tbb") |
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elseif threading == "seq" then |
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table.insert(flags, "-lmkl_sequential") |
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elseif threading == "openmp" then |
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table.insert(flags, "-lmkl_intel_thread") |
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table.insert(flags, "-lomp") |
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elseif threading == "gomp" then |
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table.insert(flags, "-lmkl_gnu_thread") |
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table.insert(flags, "-lgomp") |
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end |
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table.insert(flags, "-lmkl_core") |
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table.insert(flags, "-Wl,--end-group") |
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package:add("ldflags", table.concat(flags, " ")) |
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else |
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package:add("links", package:is_arch("x64", "x86_64") and "mkl_intel_" .. suffix or "mkl_intel_c") |
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local threading = package:config("threading") |
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if threading == "tbb" then |
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package:add("links", "mkl_tbb_thread") |
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package:add("deps", "tbb") |
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elseif threading == "seq" then |
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package:add("links", "mkl_sequential") |
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elseif threading == "openmp" then |
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package:add("links", "mkl_intel_thread", "omp") |
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elseif threading == "gomp" then |
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package:add("links", "mkl_gnu_thread", "gomp") |
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end |
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package:add("links", "mkl_core") |
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end |
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end) |
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on_install("windows|!arm64", "macosx|!arm64", "linux|x86_64", "linux|i386", function (package) |
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local headerdir = package:resourcedir("headers") |
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if package:is_plat("windows") then |
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os.trymv(path.join("Library", "lib"), package:installdir()) |
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os.trymv(path.join(headerdir, "Library", "include"), package:installdir()) |
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else |
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os.trymv(path.join("lib"), package:installdir()) |
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os.trymv(path.join(headerdir, "include"), package:installdir()) |
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end |
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end) |
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on_test(function (package) |
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assert(package:check_csnippets({test = [[ |
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void test() { |
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double A[6] = {1.0,2.0,1.0,-3.0,4.0,-1.0}; |
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double B[6] = {1.0,2.0,1.0,-3.0,4.0,-1.0}; |
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double C[9] = {.5,.5,.5,.5,.5,.5,.5,.5,.5}; |
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cblas_dgemm(CblasColMajor,CblasNoTrans,CblasTrans,3,3,2,1,A,3,B,3,2,C,3); |
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} |
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]]}, {includes = "mkl_cblas.h"})) |
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end)
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