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##############################################################################
# Copyright (c) 2013-2017, Lawrence Livermore National Security, LLC.
# Produced at the Lawrence Livermore National Laboratory.
#
# This file is part of Spack.
# Created by Todd Gamblin, tgamblin@llnl.gov, All rights reserved.
# LLNL-CODE-647188
#
# For details, see https://github.com/spack/spack
# Please also see the NOTICE and LICENSE files for our notice and the LGPL.
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License (as
# published by the Free Software Foundation) version 2.1, February 1999.
#
# This program is distributed in the hope that it will be useful, but
# WITHOUT ANY WARRANTY; without even the IMPLIED WARRANTY OF
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the terms and
# conditions of the GNU Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with this program; if not, write to the Free Software
# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
##############################################################################
from spack import *
class Lbann(CMakePackage):
"""LBANN: Livermore Big Artificial Neural Network Toolkit. A distributed
memory, HPC-optimized, model and data parallel training toolkit for deep
neural networks."""
homepage = "http://software.llnl.gov/lbann/"
url = "https://github.com/LLNL/lbann/archive/v0.91.tar.gz"
version('develop', git='https://github.com/LLNL/lbann.git', branch="develop")
version('0.91', '83b0ec9cd0b7625d41dfb06d2abd4134')
variant('gpu', default=False, description='Builds with support for GPUs via CUDA and cuDNN')
variant('opencv', default=True, description='Builds with support for image processing routines with OpenCV')
variant('seq_init', default=False, description='Force serial initialization of weight matrices.')
variant('dtype', default=4, description='Size (bits) of floating point representation for weights')
variant('build_type', default='Release',
description='The build type to build',
values=('Debug', 'Release'))
depends_on('elemental +openmp_blas +shared +int64')
depends_on('elemental +openmp_blas +shared +int64 build_type=Debug',
when=('build_type=Debug'))
depends_on('cuda', when='+gpu')
depends_on('cudnn', when='+gpu')
depends_on('cub', when='+gpu')
depends_on('mpi')
depends_on('hwloc')
depends_on('opencv@3.2.0: +openmp +core +highgui +imgproc +jpeg +png +tiff +zlib ~eigen', when='+opencv')
depends_on('protobuf@3.0.2:')
depends_on('cnpy')
def cmake_args(self):
spec = self.spec
# Environment variables
CPPFLAGS = []
CPPFLAGS.append('-DLBANN_SET_EL_RNG')
args = [
'-DCMAKE_INSTALL_MESSAGE=LAZY',
'-DCMAKE_CXX_FLAGS=%s' % ' '.join(CPPFLAGS),
'-DWITH_CUDA:BOOL=%s' % ('+gpu' in spec),
'-DWITH_CUDNN:BOOL=%s' % ('+gpu' in spec),
'-DELEMENTAL_USE_CUBLAS:BOOL=%s' % (
'+cublas' in spec['elemental']),
'-DWITH_TBINF=OFF',
'-DWITH_VTUNE=OFF',
'-DElemental_DIR={0}'.format(spec['elemental'].prefix),
'-DCNPY_DIR={0}'.format(spec['cnpy'].prefix),
'-DELEMENTAL_MATH_LIBS={0}'.format(
spec['elemental'].libs),
'-DSEQ_INIT:BOOL=%s' % ('+seq_init' in spec),
'-DDATATYPE={0}'.format(int(spec.variants['dtype'].value)),
'-DVERBOSE=0',
'-DLBANN_HOME=.',
'-DLBANN_VER=spack']
if '+opencv' in spec:
args.extend(['-DOpenCV_DIR:STRING={0}'.format(
spec['opencv'].prefix)])
if '+cudnn' in spec:
args.extend(['-DcuDNN_DIR={0}'.format(
spec['cudnn'].prefix)])
if '+cudnn' in spec:
args.extend(['-DCUB_DIR={0}'.format(
spec['cub'].prefix)])
return args
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