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# Copyright 2013-2021 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
import llnl.util.tty as tty
class Umpire(CMakePackage, CudaPackage, ROCmPackage):
"""An application-focused API for memory management on NUMA & GPU
architectures"""
homepage = 'https://github.com/LLNL/Umpire'
git = 'https://github.com/LLNL/Umpire.git'
maintainers = ['davidbeckingsale']
version('develop', branch='develop', submodules=True)
version('main', branch='main', submodules=True)
version('5.0.0', tag='v5.0.0', submodules=True)
version('4.1.2', tag='v4.1.2', submodules=True)
version('4.1.1', tag='v4.1.1', submodules=True)
version('4.1.0', tag='v4.1.0', submodules=True)
version('4.0.1', tag='v4.0.1', submodules=True)
version('4.0.0', tag='v4.0.0', submodules=True)
version('3.0.0', tag='v3.0.0', submodules=True)
version('2.1.0', tag='v2.1.0', submodules=True)
version('2.0.0', tag='v2.0.0', submodules=True)
version('1.1.0', tag='v1.1.0', submodules=True)
version('1.0.1', tag='v1.0.1', submodules=True)
version('1.0.0', tag='v1.0.0', submodules=True)
version('0.3.5', tag='v0.3.5', submodules=True)
version('0.3.4', tag='v0.3.4', submodules=True)
version('0.3.3', tag='v0.3.3', submodules=True)
version('0.3.2', tag='v0.3.2', submodules=True)
version('0.3.1', tag='v0.3.1', submodules=True)
version('0.3.0', tag='v0.3.0', submodules=True)
version('0.2.4', tag='v0.2.4', submodules=True)
version('0.2.3', tag='v0.2.3', submodules=True)
version('0.2.2', tag='v0.2.2', submodules=True)
version('0.2.1', tag='v0.2.1', submodules=True)
version('0.2.0', tag='v0.2.0', submodules=True)
version('0.1.4', tag='v0.1.4', submodules=True)
version('0.1.3', tag='v0.1.3', submodules=True)
patch('camp_target_umpire_3.0.0.patch', when='@3.0.0')
patch('cmake_version_check.patch', when='@4.1')
variant('fortran', default=False, description='Build C/Fortran API')
variant('c', default=True, description='Build C API')
variant('numa', default=False, description='Enable NUMA support')
variant('shared', default=True, description='Enable Shared libs')
variant('openmp', default=False, description='Build with OpenMP support')
variant('deviceconst', default=False,
description='Enables support for constant device memory')
variant('examples', default=True, description='Build Umpire Examples')
variant('tests', default='none', values=('none', 'basic', 'benchmarks'),
multi=False, description='Tests to run')
depends_on('cmake@3.8:', type='build')
depends_on('cmake@3.9:', when='+cuda', type='build')
depends_on('blt@0.4.0:', type='build', when='@4.1.3:')
depends_on('blt@:0.3.6', type='build', when='@:4.1.2')
# variants +rocm and amdgpu_targets are not automatically passed to
# dependencies, so do it manually.
depends_on('camp+rocm', when='+rocm')
for val in ROCmPackage.amdgpu_targets:
depends_on('camp amdgpu_target=%s' % val, when='amdgpu_target=%s' % val)
depends_on('camp')
conflicts('+numa', when='@:0.3.2')
conflicts('~c', when='+fortran', msg='Fortran API requires C API')
# device allocator exports device code, which requires static libs
# currently only available for cuda.
conflicts('+shared', when='+cuda')
def cmake_args(self):
spec = self.spec
options = []
options.append("-DBLT_SOURCE_DIR={0}".format(spec['blt'].prefix))
options.append("-Dcamp_DIR={0}".format(spec['camp'].prefix))
if '+cuda' in spec:
options.extend([
'-DENABLE_CUDA=On',
'-DCUDA_TOOLKIT_ROOT_DIR=%s' % (spec['cuda'].prefix)])
if not spec.satisfies('cuda_arch=none'):
cuda_arch = spec.variants['cuda_arch'].value
options.append('-DCUDA_ARCH=sm_{0}'.format(cuda_arch[0]))
flag = '-arch sm_{0}'.format(cuda_arch[0])
options.append('-DCMAKE_CUDA_FLAGS:STRING={0}'.format(flag))
if '+deviceconst' in spec:
options.append('-DENABLE_DEVICE_CONST=On')
else:
options.append('-DENABLE_CUDA=Off')
if '+rocm' in spec:
options.extend([
'-DENABLE_HIP=ON',
'-DHIP_ROOT_DIR={0}'.format(spec['hip'].prefix)
])
archs = self.spec.variants['amdgpu_target'].value
if archs != 'none':
arch_str = ",".join(archs)
options.append(
'-DHIP_HIPCC_FLAGS=--amdgpu-target={0}'.format(arch_str)
)
else:
options.append('-DENABLE_HIP=OFF')
options.append('-DENABLE_C={0}'.format(
'On' if '+c' in spec else 'Off'))
options.append('-DENABLE_FORTRAN={0}'.format(
'On' if '+fortran' in spec else 'Off'))
options.append('-DENABLE_NUMA={0}'.format(
'On' if '+numa' in spec else 'Off'))
options.append('-DENABLE_OPENMP={0}'.format(
'On' if '+openmp' in spec else 'Off'))
options.append('-DBUILD_SHARED_LIBS={0}'.format(
'On' if '+shared' in spec else 'Off'))
options.append('-DENABLE_BENCHMARKS={0}'.format(
'On' if 'tests=benchmarks' in spec else 'Off'))
options.append('-DENABLE_EXAMPLES={0}'.format(
'On' if '+examples' in spec else 'Off'))
options.append('-DENABLE_TESTS={0}'.format(
'Off' if 'tests=none' in spec else 'On'))
return options
def test(self):
"""Perform stand-alone checks on the installed package."""
if self.spec.satisfies('@:1') or \
not os.path.isdir(self.prefix.bin):
tty.info('Skipping: checks not installed in bin for v{0}'.
format(self.version))
return
# Run a subset of examples PROVIDED installed
# tutorials with readily checkable outputs.
checks = {
'malloc': ['99 should be 99'],
'recipe_dynamic_pool_heuristic': ['in the pool', 'releas'],
'recipe_no_introspection': ['has allocated', 'used'],
'strategy_example': ['Available allocators', 'HOST'],
'tut_copy': ['Copied source data'],
'tut_introspection':
['Allocator used is HOST', 'size of the allocation'],
'tut_memset': ['Set data from HOST'],
'tut_move': ['Moved source data', 'HOST'],
'tut_reallocate': ['Reallocated data'],
'vector_allocator': [''],
}
for exe in checks:
expected = checks[exe]
reason = 'test: checking output from {0}'.format(exe)
self.run_test(exe, [], expected, 0, installed=False,
purpose=reason, skip_missing=True,
work_dir=self.prefix.bin)
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