New package: libcuml (#19471)
* [libcuml] created template * [libcuml] set cmake list dir * [libcuml] added some dependencies * [libcuml] adding some default cmake args * [libcuml] depends on nccl * [libcuml] temporarily disabling cuml prims building * [libcuml] building internal faiss? * [libcuml] added dependency treelite * [libcuml] depends on google_test * [libcuml] forcing single gpu per: https://github.com/rapidsai/cuml/issues/2528#issuecomment-657675957 * [libcuml] added prims? * [libcuml] adding libcumlcomms ? * Revert "[libcuml] adding libcumlcomms ?" This reverts commit 0e0765b7d4d27bdc01d54d24e8c2f9eac1cb4eb2. * Revert "[libcuml] added prims?" This reverts commit d0b1f868ea5e425cc7d1a5ce7adc642258dfc38e. * [libcuml] added varient single gpu * [libcuml] removed variant singlegpu * [libcuml] added homepage and description. removed fixmes * [libcuml] flake8 * [libcuml] cleaning up leftover commented out code * [libcuml] updated checksum added ucx dependency
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var/spack/repos/builtin/packages/libcuml/package.py
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var/spack/repos/builtin/packages/libcuml/package.py
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# Copyright 2013-2020 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 spack import *
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class Libcuml(CMakePackage):
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"""cuML is a suite of libraries that implement machine
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learning algorithms and mathematical primitives functions
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that share compatible APIs with other RAPIDS projects."""
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homepage = "https://rapids.ai"
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url = "https://github.com/rapidsai/cuml/archive/v0.15.0.tar.gz"
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version('0.15.0', sha256='5c9c656ae4eaa94a426e07d7385fd5ea0e5dc7abff806af2941aee10d4ca99c7')
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depends_on('cmake@3.14:', type='build')
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depends_on('zlib')
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depends_on('libcudf@0.8:')
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depends_on('cuda@9.2:')
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depends_on('blas')
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depends_on('nccl@2.4:')
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depends_on('treelite')
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depends_on('googletest')
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depends_on('libcumlprims')
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depends_on('mpi')
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depends_on('ucx')
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root_cmakelists_dir = 'cpp'
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def cmake_args(self):
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args = []
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args.append("-DNCCL_PATH={0}".format(self.spec['nccl'].prefix))
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args.append("-DBUILD_CUML_C_LIBRARY=ON")
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args.append("-DWITH_UCX=ON")
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args.append("-DNVTX=OFF")
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args.append("-DBUILD_STATIC_FAISS=ON")
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args.append("-DSINGLEGPU=OFF")
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args.append("-DENABLE_CUMLPRIMS_MG=ON")
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args.append("-DBUILD_CUML_MPI_COMMS=ON")
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return args
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