0f35f00b6e
* Use GitLab's API endpoint for fetching a git snapshot. * More GitLab packages use the API. * find_list_url for GitLab's API URLs. * Flake8 * Url for 'hacckernels'. * Check GitLab API regexps before the non-API ones.
84 lines
3.6 KiB
Python
84 lines
3.6 KiB
Python
##############################################################################
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# Copyright (c) 2013-2018, 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/spack/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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import os
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class Vtkm(Package):
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"""VTK-m is a toolkit of scientific visualization algorithms for emerging
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processor architectures. VTK-m supports the fine-grained concurrency for
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data analysis and visualization algorithms required to drive extreme scale
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computing by providing abstract models for data and execution that can be
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applied to a variety of algorithms across many different processor
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architectures."""
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homepage = "https://m.vtk.org/"
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url = "https://gitlab.kitware.com/api/v4/projects/vtk%2Fvtk-m/repository/archive.tar.gz?sha=v1.1.0"
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version('1.1.0', "6aab1c0885f6ffaaffcf07930873d0df")
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version('master',
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git='https://gitlab.kitware.com/vtk/vtk-m.git',
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branch='master')
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variant("cuda", default=False, description="build cuda support")
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variant("tbb", default=True, description="build TBB support")
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depends_on("cmake")
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depends_on("tbb", when="+tbb")
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depends_on("cuda", when="+cuda")
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def install(self, spec, prefix):
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with working_dir('spack-build', create=True):
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cmake_args = ["../",
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"-DVTKm_ENABLE_TESTING=OFF",
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"-DVTKm_BUILD_RENDERING=ON",
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"-DVTKm_USE_64BIT_IDS=OFF",
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"-DVTKm_USE_DOUBLE_PRECISION=ON"]
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# tbb support
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if "+tbb" in spec:
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# vtk-m detectes tbb via TBB_ROOT env var
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os.environ["TBB_ROOT"] = spec["tbb"].prefix
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cmake_args.append("-DVTKm_ENABLE_TBB=ON")
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# cuda support
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if "+cuda" in spec:
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cmake_args.append("-DVTKm_ENABLE_CUDA=ON")
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# this fix is necessary if compiling platform has cuda, but
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# no devices (this common for front end nodes on hpc clusters)
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# we choose kepler as a lowest common denominator
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cmake_args.append("-DVTKm_CUDA_Architecture=kepler")
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# use release, instead of release with debug symbols b/c vtkm libs
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# can overwhelm compilers with too many symbols
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for arg in std_cmake_args:
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if arg.count("CMAKE_BUILD_TYPE") == 0:
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cmake_args.extend(std_cmake_args)
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cmake_args.append("-DCMAKE_BUILD_TYPE=Release")
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cmake(*cmake_args)
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make()
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make("install")
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