Add a package: dmlc/mxnet. (#3579)
* Add dmlc/mxnet packags. * Build mxnet+cuda+opencv with GCC-4.8.5 and GCC-5.4.0. * Build mxnet version 0.10.0, 0.10.0.post1 and 0.10.0.post2. * Add component version constrain for mxnet 0.10.0.x . * Go through flake8. * Replace commit hash with commit date as package version. * Go throught Travis-CI. * Update submodule version for 0.10.0.post2. * Add openmp variant for dmlc-core and mxnet. * Refine variant handling. * Fix filter_file for dmlc-core. * Cut long strings into multiple lies due to PEP8 requirements. * Fix for PEP8. * Add CUB_INCLUDE. * Add py-mxnet: Python binding for MXNet. * Remove distutils.dir_util. * Add the profiler variant for mxnet. * Add a shared variant for nnvm. * Set USE_OPENMP to OFF by default. * Fix flake8 errors. * Fix flake8 issues. * flake8 issues again.
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##############################################################################
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# Copyright (c) 2013-2016, Lawrence Livermore National Security, LLC.
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# Produced at the Lawrence Livermore National Laboratory.
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#
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# This file is part of Spack.
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# Created by Todd Gamblin, tgamblin@llnl.gov, All rights reserved.
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# LLNL-CODE-647188
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#
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# For details, see https://github.com/llnl/spack
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# Please also see the NOTICE and LICENSE files for our notice and the LGPL.
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#
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# This program is free software; you can redistribute it and/or modify
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# it under the terms of the GNU Lesser General Public License (as
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# published by the Free Software Foundation) version 2.1, February 1999.
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#
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# This program is distributed in the hope that it will be useful, but
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# WITHOUT ANY WARRANTY; without even the IMPLIED WARRANTY OF
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the terms and
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# conditions of the GNU Lesser General Public License for more details.
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#
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# You should have received a copy of the GNU Lesser General Public
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# License along with this program; if not, write to the Free Software
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# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
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##############################################################################
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from spack import *
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class Dlpack(Package):
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"""DLPack is an RFC for common tensor and operator guidelines
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in deep learning systems."""
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homepage = "https://github.com/sjtuhpcc/dlpack"
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version('master', git='https://github.com/dmlc/dlpack.git', branch='master')
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def install(self, spec, prefix):
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install_tree('include', prefix.include)
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