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# Copyright 2013-2022 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)
import os
from spack import *
class Dihydrogen(CMakePackage, CudaPackage, ROCmPackage):
"""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"
url = "https://github.com/LLNL/DiHydrogen/archive/v0.1.tar.gz"
git = "https://github.com/LLNL/DiHydrogen.git"
maintainers = ['bvanessen']
version('develop', branch='develop')
version('master', branch='master')
version('0.2.1', sha256='11e2c0f8a94ffa22e816deff0357dde6f82cc8eac21b587c800a346afb5c49ac')
version('0.2.0', sha256='e1f597e80f93cf49a0cb2dbc079a1f348641178c49558b28438963bd4a0bdaa4')
version('0.1', sha256='171d4b8adda1e501c38177ec966e6f11f8980bf71345e5f6d87d0a988fef4c4e')
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('distconv', default=False,
description='Support distributed convolutions: spatial, channel, '
'filter.')
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')
# Variants related to BLAS
variant('openmp_blas', default=False,
description='Use OpenMP for threading in the BLAS library')
variant('int64_blas', default=False,
description='Use 64bit integers for BLAS.')
variant('blas', default='openblas', values=('openblas', 'mkl', 'accelerate', 'essl', 'libsci'),
description='Enable the use of OpenBlas/MKL/Accelerate/ESSL/LibSci')
conflicts('~cuda', when='+nvshmem')
depends_on('mpi')
depends_on('catch2', type='test')
# Specify the correct version of Aluminum
depends_on('aluminum@0.4.0:0.4', when='@0.1 +al')
depends_on('aluminum@0.5.0:0.5', when='@0.2.0 +al')
depends_on('aluminum@0.7.0:0.7', when='@0.2.1 +al')
depends_on('aluminum@0.7.0:', when='@:0.0,0.2.1: +al')
# Add Aluminum variants
depends_on('aluminum +cuda +nccl +cuda_rma', when='+al +cuda')
depends_on('aluminum +rocm +rccl', when='+al +rocm')
depends_on('aluminum +ht', when='+al +distconv')
for arch in CudaPackage.cuda_arch_values:
depends_on('aluminum cuda_arch=%s' % arch, when='+al +cuda cuda_arch=%s' % arch)
# variants +rocm and amdgpu_targets are not automatically passed to
# dependencies, so do it manually.
for val in ROCmPackage.amdgpu_targets:
depends_on('aluminum amdgpu_target=%s' % val, when='amdgpu_target=%s' % val)
for when in ['+cuda', '+distconv']:
depends_on('cuda', when=when)
depends_on('cudnn', when=when)
depends_on('cub', when='^cuda@:10')
# Note that #1712 forces us to enumerate the different blas variants
depends_on('openblas', when='blas=openblas')
depends_on('openblas +ilp64', when='blas=openblas +int64_blas')
depends_on('openblas threads=openmp', when='blas=openblas +openmp_blas')
depends_on('intel-mkl', when="blas=mkl")
depends_on('intel-mkl +ilp64', when="blas=mkl +int64_blas")
depends_on('intel-mkl threads=openmp', when='blas=mkl +openmp_blas')
depends_on('veclibfort', when='blas=accelerate')
conflicts('blas=accelerate +openmp_blas')
depends_on('essl', when='blas=essl')
depends_on('essl +ilp64', when='blas=essl +int64_blas')
depends_on('essl threads=openmp', when='blas=essl +openmp_blas')
depends_on('netlib-lapack +external-blas', when='blas=essl')
depends_on('cray-libsci', when='blas=libsci')
depends_on('cray-libsci +openmp', when='blas=libsci +openmp_blas')
# Distconv builds require cuda
conflicts('~cuda', when='+distconv')
conflicts('+distconv', when='+half')
conflicts('+rocm', when='+half')
depends_on('half', when='+half')
generator = 'Ninja'
depends_on('ninja', type='build')
depends_on('cmake@3.17.0:', type='build')
depends_on('llvm-openmp', when='%apple-clang +openmp')
# TODO: Debug linker errors when NVSHMEM is built with UCX
depends_on('nvshmem +nccl~ucx', when='+nvshmem')
# Idenfity versions of cuda_arch that are too old
# from lib/spack/spack/build_systems/cuda.py
illegal_cuda_arch_values = [
'10', '11', '12', '13',
'20', '21',
]
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_CXX_STANDARD=17',
'-DCMAKE_EXPORT_COMPILE_COMMANDS=ON',
'-DCMAKE_INSTALL_MESSAGE:STRING=LAZY',
'-DBUILD_SHARED_LIBS:BOOL=%s' % ('+shared' in spec),
'-DH2_ENABLE_ALUMINUM=%s' % ('+al' in spec),
'-DH2_ENABLE_CUDA=%s' % ('+cuda' in spec),
'-DH2_ENABLE_DISTCONV_LEGACY=%s' % ('+distconv' 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:
if self.spec.satisfies('%clang'):
for flag in self.spec.compiler_flags['cxxflags']:
if 'gcc-toolchain' in flag:
args.append('-DCMAKE_CUDA_FLAGS=-Xcompiler={0}'.format(flag))
if spec.satisfies('^cuda@11.0:'):
args.append('-DCMAKE_CUDA_STANDARD=17')
else:
args.append('-DCMAKE_CUDA_STANDARD=14')
archs = spec.variants['cuda_arch'].value
if archs != 'none':
arch_str = ";".join(archs)
args.append('-DCMAKE_CUDA_ARCHITECTURES=%s' % arch_str)
if (spec.satisfies('%cce') and
spec.satisfies('^cuda+allow-unsupported-compilers')):
args.append('-DCMAKE_CUDA_FLAGS=-allow-unsupported-compiler')
if '+cuda' in spec or '+distconv' in spec:
args.append('-DcuDNN_DIR={0}'.format(
spec['cudnn'].prefix))
if spec.satisfies('^cuda@:10'):
if '+cuda' in spec or '+distconv' in spec:
args.append('-DCUB_DIR={0}'.format(
spec['cub'].prefix))
# Add support for OpenMP with external (Brew) clang
if spec.satisfies('%clang +openmp platform=darwin'):
clang = self.compiler.cc
clang_bin = os.path.dirname(clang)
clang_root = os.path.dirname(clang_bin)
args.extend([
'-DOpenMP_CXX_FLAGS=-fopenmp=libomp',
'-DOpenMP_CXX_LIB_NAMES=libomp',
'-DOpenMP_libomp_LIBRARY={0}/lib/libomp.dylib'.format(
clang_root)])
if '+rocm' in spec:
args.extend([
'-DCMAKE_CXX_FLAGS=-std=c++17',
'-DHIP_ROOT_DIR={0}'.format(spec['hip'].prefix),
'-DHIP_CXX_COMPILER={0}'.format(self.spec['hip'].hipcc)])
archs = self.spec.variants['amdgpu_target'].value
if archs != 'none':
arch_str = ",".join(archs)
args.append(
'-DHIP_HIPCC_FLAGS=--amdgpu-target={0}'
' -g -fsized-deallocation -fPIC -std=c++17'.format(arch_str)
)
if self.spec.satisfies('^essl'):
# IF IBM ESSL is used it needs help finding the proper LAPACK libraries
args.extend([
'-DLAPACK_LIBRARIES=%s;-llapack;-lblas' %
';'.join('-l{0}'.format(lib) for lib in self.spec['essl'].libs.names),
'-DBLAS_LIBRARIES=%s;-lblas' %
';'.join('-l{0}'.format(lib) for lib in self.spec['essl'].libs.names)])
return args
def setup_build_environment(self, env):
if self.spec.satisfies('%apple-clang +openmp'):
env.append_flags(
'CPPFLAGS', self.compiler.openmp_flag)
env.append_flags(
'CFLAGS', self.spec['llvm-openmp'].headers.include_flags)
env.append_flags(
'CXXFLAGS', self.spec['llvm-openmp'].headers.include_flags)
env.append_flags(
'LDFLAGS', self.spec['llvm-openmp'].libs.ld_flags)
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