f9ff80e213
* Made DiHydrogen a required dependencies on newer versions of LBANN. Added an explicit variant for enabling Boost-dependent callbacks. Updated the separation for embedded Python and the Python front end code and associated dependencies. * Bugfix on ROCm include in DiHydrogen
223 lines
8.8 KiB
Python
223 lines
8.8 KiB
Python
# Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
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# Spack Project Developers. See the top-level COPYRIGHT file for details.
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#
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# SPDX-License-Identifier: (Apache-2.0 OR MIT)
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import os
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from spack import *
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class Dihydrogen(CMakePackage, CudaPackage, ROCmPackage):
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"""DiHydrogen is the second version of the Hydrogen fork of the
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well-known distributed linear algebra library,
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Elemental. DiHydrogen aims to be a basic distributed
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multilinear algebra interface with a particular emphasis on the
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needs of the distributed machine learning effort, LBANN."""
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homepage = "https://github.com/LLNL/DiHydrogen.git"
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url = "https://github.com/LLNL/DiHydrogen/archive/v0.1.tar.gz"
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git = "https://github.com/LLNL/DiHydrogen.git"
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maintainers = ['bvanessen']
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version('develop', branch='develop')
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version('master', branch='master')
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version('0.1', sha256='171d4b8adda1e501c38177ec966e6f11f8980bf71345e5f6d87d0a988fef4c4e')
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variant('al', default=True,
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description='Builds with Aluminum communication library')
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variant('developer', default=False,
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description='Enable extra warnings and force tests to be enabled.')
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variant('half', default=False,
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description='Enable FP16 support on the CPU.')
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variant('distconv', default=False,
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description='Support distributed convolutions: spatial, channel, '
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'filter.')
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variant('nvshmem', default=False,
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description='Builds with support for NVSHMEM')
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variant('openmp', default=False,
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description='Enable CPU acceleration with OpenMP threads.')
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variant('rocm', default=False,
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description='Enable ROCm/HIP language features.')
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variant('shared', default=True,
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description='Enables the build of shared libraries')
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variant('docs', default=False,
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description='Builds with support for building documentation')
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# Variants related to BLAS
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variant('openmp_blas', default=False,
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description='Use OpenMP for threading in the BLAS library')
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variant('int64_blas', default=False,
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description='Use 64bit integers for BLAS.')
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variant('blas', default='openblas', values=('openblas', 'mkl', 'accelerate', 'essl'),
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description='Enable the use of OpenBlas/MKL/Accelerate/ESSL')
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# Override the default set of CUDA architectures with the relevant
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# subset from lib/spack/spack/build_systems/cuda.py
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cuda_arch_values = [
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'30', '32', '35', '37',
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'50', '52', '53',
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'60', '61', '62',
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'70', '72', '75',
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'80'
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]
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variant('cuda_arch',
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description='CUDA architecture',
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values=spack.variant.auto_or_any_combination_of(*cuda_arch_values))
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conflicts('~cuda', when='+nvshmem')
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depends_on('mpi')
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depends_on('catch2', type='test')
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# Specify the correct version of Aluminum
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depends_on('aluminum@0.4:0.4.99', when='@0.1:0.1.99 +al')
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depends_on('aluminum@0.5:', when='@:0.0,0.2: +al')
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# Add Aluminum variants
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depends_on('aluminum +cuda +nccl +ht +cuda_rma', when='+al +cuda')
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depends_on('aluminum +rocm +rccl +ht', when='+al +rocm')
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for arch in CudaPackage.cuda_arch_values:
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depends_on('aluminum cuda_arch=%s' % arch, when='+al +cuda cuda_arch=%s' % arch)
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# variants +rocm and amdgpu_targets are not automatically passed to
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# dependencies, so do it manually.
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for val in ROCmPackage.amdgpu_targets:
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depends_on('aluminum amdgpu_target=%s' % val, when='amdgpu_target=%s' % val)
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depends_on('cuda', when=('+cuda' or '+legacy'))
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depends_on('cudnn', when=('+cuda' or '+legacy'))
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depends_on('cub', when='^cuda@:10.99')
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# Note that #1712 forces us to enumerate the different blas variants
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depends_on('openblas', when='blas=openblas ~openmp_blas ~int64_blas')
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depends_on('openblas +ilp64', when='blas=openblas ~openmp_blas +int64_blas')
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depends_on('openblas threads=openmp', when='blas=openblas +openmp_blas ~int64_blas')
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depends_on('openblas threads=openmp +lip64', when='blas=openblas +openmp_blas +int64_blas')
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depends_on('intel-mkl', when="blas=mkl ~openmp_blas ~int64_blas")
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depends_on('intel-mkl +ilp64', when="blas=mkl ~openmp_blas +int64_blas")
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depends_on('intel-mkl threads=openmp', when='blas=mkl +openmp_blas ~int64_blas')
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depends_on('intel-mkl@2017.1 +openmp +ilp64', when='blas=mkl +openmp_blas +int64_blas')
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depends_on('veclibfort', when='blas=accelerate')
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conflicts('blas=accelerate +openmp_blas')
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depends_on('essl -cuda', when='blas=essl -openmp_blas ~int64_blas')
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depends_on('essl -cuda +ilp64', when='blas=essl -openmp_blas +int64_blas')
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depends_on('essl threads=openmp', when='blas=essl +openmp_blas ~int64_blas')
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depends_on('essl threads=openmp +ilp64', when='blas=essl +openmp_blas +int64_blas')
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depends_on('netlib-lapack +external-blas', when='blas=essl')
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# Legacy builds require cuda
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conflicts('~cuda', when='+legacy')
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conflicts('+distconv', when='+half')
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conflicts('+rocm', when='+half')
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depends_on('half', when='+half')
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generator = 'Ninja'
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depends_on('ninja', type='build')
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depends_on('cmake@3.17.0:', type='build')
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depends_on('py-breathe', type='build', when='+docs')
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depends_on('doxygen', type='build', when='+docs')
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depends_on('llvm-openmp', when='%apple-clang +openmp')
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depends_on('nvshmem', when='+nvshmem')
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illegal_cuda_arch_values = [
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'10', '11', '12', '13',
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'20', '21',
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]
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for value in illegal_cuda_arch_values:
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conflicts('cuda_arch=' + value)
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@property
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def libs(self):
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shared = True if '+shared' in self.spec else False
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return find_libraries(
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'libH2Core', root=self.prefix, shared=shared, recursive=True
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)
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def cmake_args(self):
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spec = self.spec
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args = [
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'-DCMAKE_CXX_STANDARD=17',
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'-DCMAKE_INSTALL_MESSAGE:STRING=LAZY',
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'-DBUILD_SHARED_LIBS:BOOL=%s' % ('+shared' in spec),
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'-DH2_ENABLE_CUDA=%s' % ('+cuda' in spec),
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'-DH2_ENABLE_DISTCONV_LEGACY=%s' % ('+distconv' in spec),
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'-DH2_ENABLE_OPENMP=%s' % ('+openmp' in spec),
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'-DH2_ENABLE_FP16=%s' % ('+half' in spec),
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'-DH2_ENABLE_HIP_ROCM=%s' % ('+rocm' in spec),
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'-DH2_DEVELOPER_BUILD=%s' % ('+developer' in spec),
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]
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if '+cuda' in spec:
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if spec.satisfies('^cuda@11.0:'):
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args.append('-DCMAKE_CUDA_STANDARD=17')
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else:
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args.append('-DCMAKE_CUDA_STANDARD=14')
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cuda_arch = spec.variants['cuda_arch'].value
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if len(cuda_arch) == 1 and cuda_arch[0] == 'auto':
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args.append('-DCMAKE_CUDA_FLAGS=-arch=sm_60')
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else:
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cuda_arch = [x for x in spec.variants['cuda_arch'].value
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if x != 'auto']
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if cuda_arch:
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args.append('-DCMAKE_CUDA_FLAGS={0}'.format(
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' '.join(self.cuda_flags(cuda_arch))
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))
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if '+cuda' in spec or '+legacy' in spec:
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args.append('-DcuDNN_DIR={0}'.format(
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spec['cudnn'].prefix))
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if spec.satisfies('^cuda@:10.99'):
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if '+cuda' in spec or '+legacy' in spec:
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args.append('-DCUB_DIR={0}'.format(
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spec['cub'].prefix))
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# Add support for OpenMP with external (Brew) clang
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if spec.satisfies('%clang +openmp platform=darwin'):
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clang = self.compiler.cc
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clang_bin = os.path.dirname(clang)
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clang_root = os.path.dirname(clang_bin)
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args.extend([
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'-DOpenMP_CXX_FLAGS=-fopenmp=libomp',
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'-DOpenMP_CXX_LIB_NAMES=libomp',
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'-DOpenMP_libomp_LIBRARY={0}/lib/libomp.dylib'.format(
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clang_root)])
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if '+rocm' in spec:
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args.extend([
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'-DHIP_ROOT_DIR={0}'.format(spec['hip'].prefix),
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'-DHIP_CXX_COMPILER={0}'.format(self.spec['hip'].hipcc)])
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archs = self.spec.variants['amdgpu_target'].value
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if archs != 'none':
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arch_str = ",".join(archs)
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args.append(
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'-DHIP_HIPCC_FLAGS=--amdgpu-target={0}'
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' -g -fsized-deallocation -fPIC'.format(arch_str)
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)
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return args
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def setup_build_environment(self, env):
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if self.spec.satisfies('%apple-clang +openmp'):
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env.append_flags(
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'CPPFLAGS', self.compiler.openmp_flag)
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env.append_flags(
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'CFLAGS', self.spec['llvm-openmp'].headers.include_flags)
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env.append_flags(
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'CXXFLAGS', self.spec['llvm-openmp'].headers.include_flags)
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env.append_flags(
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'LDFLAGS', self.spec['llvm-openmp'].libs.ld_flags)
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