spack/var/spack/repos/builtin/packages/vtk-m/package.py

160 lines
7.2 KiB
Python

# Copyright 2013-2020 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
import os
import sys
class VtkM(CMakePackage, CudaPackage):
"""VTK-m is a toolkit of scientific visualization algorithms for emerging
processor architectures. VTK-m supports the fine-grained concurrency for
data analysis and visualization algorithms required to drive extreme scale
computing by providing abstract models for data and execution that can be
applied to a variety of algorithms across many different processor
architectures."""
homepage = "https://m.vtk.org/"
maintainers = ['robertmaynard', 'kmorel', 'vicentebolea']
url = "https://gitlab.kitware.com/vtk/vtk-m/-/archive/v1.5.1/vtk-m-v1.5.1.tar.gz"
git = "https://gitlab.kitware.com/vtk/vtk-m.git"
version('master', branch='master')
version('1.5.1', sha256="64c19e66c0d579cfb21bb0df10d649b523b470b0c9a6c2ea5fd979dfeda2c25e")
version('1.5.0', sha256="b1b13715c7fcc8d17f5c7166ff5b3e9025f6865dc33eb9b06a63471c21349aa8")
version('1.4.0', sha256="8d83cca7cd5e204d10da151ce4f1846c1f7414c7c1e579173d15c5ea0631555a")
version('1.3.0', sha256="f88c1b0a1980f695240eeed9bcccfa420cc089e631dc2917c9728a2eb906df2e")
version('1.2.0', sha256="607272992e05f8398d196f0acdcb4af025a4a96cd4f66614c6341f31d4561763")
version('1.1.0', sha256="78618c81ca741b1fbba0853cb5d7af12c51973b514c268fc96dfb36b853cdb18")
# version used by ascent
version('ascent_ver', commit="a3b8525ef97d94996ae843db0dd4f675c38e8b1e")
# patches, required for ascent
patch('vtkmdiy_fpic.patch', when='@ascent_ver')
patch('disable_flying_edges.patch', when='@ascent_ver')
# use release, instead of release with debug symbols b/c vtkm libs
# can overwhelm compilers with too many symbols
variant('build_type', default='Release', description='CMake build type',
values=('Debug', 'Release', 'RelWithDebInfo', 'MinSizeRel'))
variant("shared", default=False, description="build shared libs")
variant("cuda", default=False, description="build cuda support")
variant("doubleprecision", default=True,
description='enable double precision')
variant("logging", default=False, description="build logging support")
variant("mpi", default=False, description="build mpi support")
variant("openmp", default=(sys.platform != 'darwin'), description="build openmp support")
variant("rendering", default=True, description="build rendering support")
variant("tbb", default=(sys.platform == 'darwin'), description="build TBB support")
variant("64bitids", default=False,
description="enable 64 bits ids")
depends_on("cmake@3.12:", type="build") # CMake >= 3.12
depends_on("tbb", when="+tbb")
depends_on("cuda", when="+cuda")
depends_on("mpi", when="+mpi")
conflicts("~shared", when="~pic")
def cmake_args(self):
spec = self.spec
options = []
gpu_name_table = {'20': 'fermi',
'30': 'kepler', '32': 'kepler', '35': 'kepler',
'50': 'maxwell', '52': 'maxwell', '53': 'maxwell',
'60': 'pascal', '61': 'pascal', '62': 'pascal',
'70': 'volta', '72': 'turing', '75': 'turing'}
with working_dir('spack-build', create=True):
options = ["-DVTKm_ENABLE_TESTING:BOOL=OFF"]
# shared vs static libs logic
# force building statically with cuda
if "+cuda" in spec:
options.append('-DBUILD_SHARED_LIBS=OFF')
else:
if "+shared" in spec:
options.append('-DBUILD_SHARED_LIBS=ON')
else:
options.append('-DBUILD_SHARED_LIBS=OFF')
# cuda support
if "+cuda" in spec:
options.append("-DVTKm_ENABLE_CUDA:BOOL=ON")
options.append("-DCMAKE_CUDA_HOST_COMPILER={0}".format(
env["SPACK_CXX"]))
if 'cuda_arch' in spec.variants:
cuda_value = spec.variants['cuda_arch'].value
cuda_arch = cuda_value[0]
if cuda_arch in gpu_name_table:
vtkm_cuda_arch = gpu_name_table[cuda_arch]
options.append('-DVTKm_CUDA_Architecture={0}'.format(
vtkm_cuda_arch))
else:
# this fix is necessary if compiling platform has cuda, but
# no devices (this's common for front end nodes on hpc clus
# ters)
# we choose kepler as a lowest common denominator
options.append("-DVTKm_CUDA_Architecture=kepler")
else:
options.append("-DVTKm_ENABLE_CUDA:BOOL=OFF")
# double precision
if "+doubleprecision" in spec:
options.append("-DVTKm_USE_DOUBLE_PRECISION:BOOL=ON")
else:
options.append("-DVTKm_USE_DOUBLE_PRECISION:BOOL=OFF")
# logging support
if "+logging" in spec:
if not spec.satisfies('@1.3.0:,ascent_ver'):
raise InstallError('logging is not supported for\
vtkm version lower than 1.3')
options.append("-DVTKm_ENABLE_LOGGING:BOOL=ON")
else:
options.append("-DVTKm_ENABLE_LOGGING:BOOL=OFF")
# mpi support
if "+mpi" in spec:
if not spec.satisfies('@1.3.0:,ascent_ver'):
raise InstallError('mpi is not supported for\
vtkm version lower than 1.3')
options.append("-DVTKm_ENABLE_MPI:BOOL=ON")
else:
options.append("-DVTKm_ENABLE_MPI:BOOL=OFF")
# openmp support
if "+openmp" in spec:
# openmp is added since version 1.3.0
if not spec.satisfies('@1.3.0:,ascent_ver'):
raise InstallError('OpenMP is not supported for\
vtkm version lower than 1.3')
options.append("-DVTKm_ENABLE_OPENMP:BOOL=ON")
else:
options.append("-DVTKm_ENABLE_OPENMP:BOOL=OFF")
# rendering support
if "+rendering" in spec:
options.append("-DVTKm_ENABLE_RENDERING:BOOL=ON")
else:
options.append("-DVTKm_ENABLE_RENDERING:BOOL=OFF")
# tbb support
if "+tbb" in spec:
# vtk-m detectes tbb via TBB_ROOT env var
os.environ["TBB_ROOT"] = spec["tbb"].prefix
options.append("-DVTKm_ENABLE_TBB:BOOL=ON")
else:
options.append("-DVTKm_ENABLE_TBB:BOOL=OFF")
# 64 bit ids
if "+64bitids" in spec:
options.append("-DVTKm_USE_64BIT_IDS:BOOL=ON")
print("64 bit ids enabled")
else:
options.append("-DVTKm_USE_64BIT_IDS:BOOL=OFF")
if spec.variants["build_type"].value != 'Release':
options.append("-DVTKm_NO_ASSERT:BOOL=ON")
return options