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authorBrian Van Essen <vanessen1@llnl.gov>2020-03-18 09:46:49 -0700
committerGitHub <noreply@github.com>2020-03-18 11:46:49 -0500
commit57ad02ad43efdd465964a22fcceecaa48ad3d8a5 (patch)
tree1f1bce80a9dc1110b432c29ef16757245ed2b432
parente59b506506ec44768fc5372b2cd063138f4ea4e0 (diff)
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Added a package for the DiHydrogen distributed linear algebra library. (#15426)
* Added a package for the DiHydrogen distributed linear algebra library. * Updated recipe to provide cuda architecture constaints. * Addressed reviewer comments * Fixed flake 8
-rw-r--r--var/spack/repos/builtin/packages/dihydrogen/package.py111
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diff --git a/var/spack/repos/builtin/packages/dihydrogen/package.py b/var/spack/repos/builtin/packages/dihydrogen/package.py
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+++ b/var/spack/repos/builtin/packages/dihydrogen/package.py
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+# 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 *
+
+
+class Dihydrogen(CMakePackage, CudaPackage):
+ """DiHydrogen is the second version of the Hydrogen fork of the
+ well-known distributed linear algebra library,
+ Elemental. DiHydrogen aims to be a basic distributed
+ multilinear algebra interface with a particular emphasis on the
+ needs of the distributed machine learning effort, LBANN."""
+
+ homepage = "https://github.com/LLNL/DiHydrogen.git"
+ git = "https://github.com/LLNL/DiHydrogen.git"
+
+ maintainers = ['bvanessen']
+
+ version('master', branch='master')
+
+ variant('al', default=True,
+ description='Builds with Aluminum communication library')
+ variant('developer', default=False,
+ description='Enable extra warnings and force tests to be enabled.')
+ variant('half', default=False,
+ description='Enable FP16 support on the CPU.')
+ variant('legacy', default=False,
+ description='Enable the legacy DistConv code branch.')
+ variant('nvshmem', default=False,
+ description='Builds with support for NVSHMEM')
+ variant('openmp', default=False,
+ description='Enable CPU acceleration with OpenMP threads.')
+ variant('rocm', default=False,
+ description='Enable ROCm/HIP language features.')
+ variant('shared', default=True,
+ description='Enables the build of shared libraries')
+
+ # Override the default set of CUDA architectures with the relevant
+ # subset from lib/spack/spack/build_systems/cuda.py
+ cuda_arch_values = [
+ '60', '61', '62',
+ '70', '72', '75',
+ ]
+ variant('cuda_arch',
+ description='CUDA architecture',
+ values=spack.variant.auto_or_any_combination_of(*cuda_arch_values))
+
+ depends_on('mpi')
+ depends_on('catch2', type='test')
+
+ depends_on('aluminum', when='+al ~cuda')
+ depends_on('aluminum +gpu +nccl +mpi_cuda', when='+al +cuda')
+
+ depends_on('cuda', when=('+cuda' or '+legacy'))
+ depends_on('cudnn', when=('+cuda' or '+legacy'))
+ depends_on('cub', when=('+cuda' or '+legacy'))
+
+ # Legacy builds require cuda
+ conflicts('~cuda', when='+legacy')
+
+ depends_on('half', when='+half')
+
+ generator = 'Ninja'
+ depends_on('ninja', type='build')
+ depends_on('cmake@3.14.0:', type='build')
+
+ illegal_cuda_arch_values = [
+ '10', '11', '12', '13',
+ '20', '21',
+ '30', '32', '35', '37',
+ '50', '52', '53',
+ ]
+ for value in illegal_cuda_arch_values:
+ conflicts('cuda_arch=' + value)
+
+ @property
+ def libs(self):
+ shared = True if '+shared' in self.spec else False
+ return find_libraries(
+ 'libH2Core', root=self.prefix, shared=shared, recursive=True
+ )
+
+ def cmake_args(self):
+ spec = self.spec
+
+ args = [
+ '-DCMAKE_INSTALL_MESSAGE:STRING=LAZY',
+ '-DBUILD_SHARED_LIBS:BOOL=%s' % ('+shared' in spec),
+ '-DH2_ENABLE_CUDA=%s' % ('+cuda' in spec),
+ '-DH2_ENABLE_DISTCONV_LEGACY=%s' % ('+legacy' in spec),
+ '-DH2_ENABLE_OPENMP=%s' % ('+openmp' in spec),
+ '-DH2_ENABLE_FP16=%s' % ('+half' in spec),
+ '-DH2_ENABLE_HIP_ROCM=%s' % ('+rocm' in spec),
+ '-DH2_DEVELOPER_BUILD=%s' % ('+developer' in spec),
+ ]
+
+ if '+cuda' in spec:
+ cuda_arch = spec.variants['cuda_arch'].value
+ if len(cuda_arch) == 1 and cuda_arch[0] == 'auto':
+ args.append('-DCMAKE_CUDA_FLAGS=-arch=sm_60')
+ else:
+ cuda_arch = [x for x in spec.variants['cuda_arch'].value
+ if x != 'auto']
+ if cuda_arch:
+ args.append('-DCMAKE_CUDA_FLAGS={0}'.format(
+ ' '.join(self.cuda_flags(cuda_arch))
+ ))
+
+ return args