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##############################################################################
# Copyright (c) 2013-2018, 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 *
from os.path import join
from fnmatch import fnmatch
import os
class Kaldi(Package): # Does not use Autotools
"""Kaldi is a toolkit for speech recognition written
in C++ and licensed under the Apache License v2.0.
Kaldi is intended for use by speech recognition researchers."""
homepage = "https://github.com/kaldi-asr/kaldi"
git = "https://github.com/kaldi-asr/kaldi.git"
version('master')
version('2018-07-11', commit='6f2140b032b0108bc313eefdca65151289642773')
version('2015-10-07', commit='c024e8aa0a727bf76c91a318f76a1f8b0b59249e')
variant('shared', default=True,
description='build shared libraries')
variant('double', default=False,
description='build with double precision floats')
variant('cuda', default=False,
description='build with CUDA')
depends_on('blas')
depends_on('cuda', when='+cuda')
depends_on('sph2pipe', type='run')
depends_on('sctk', type='run')
depends_on('speex', type='run')
depends_on('openfst@1.4.1-patch', when='@2015-10-07')
depends_on('openfst@1.6.0:', when='@2018-07-11')
depends_on('openfst')
patch('openfst-1.4.1.patch', when='@2015-10-07')
def install(self, spec, prefix):
configure_args = ['--fst-root=' + spec['openfst'].prefix]
configure_args.append('--fst-version=' + str(spec['openfst'].version))
configure_args.append('--speex-root=' + spec['speex'].prefix)
if '~shared' in spec:
configure_args.append('--static')
else:
configure_args.append('--shared')
if '^openblas' in spec:
configure_args.append('--mathlib=OPENBLAS')
configure_args.append('--openblas-root=' + spec['blas'].prefix)
if '+openmp' in spec['blas'].variants:
configure_args.append('--threaded-math=yes')
elif '^atlas' in spec:
configure_args.append('--mathlib=ATLAS')
configure_args.append('--atlas-root=' + spec['blas'].prefix)
if '+pthread' in spec['blas'].variants:
configure_args.append('--threaded-atlas')
elif '^intel-parallel-studio' in spec or '^intel-mkl' in spec:
configure_args.append('--mathlib=MKL')
configure_args.append('--mkl-root=' + spec['blas'].prefix)
if '+openmp' in spec['blas'].variants:
configure_args.append('--mkl-threading=iomp')
if '+cuda' in spec:
configure_args.append('--use-cuda=yes')
configure_args.append('--cudatk-dir=' + spec['cuda'].prefix)
with working_dir("src"):
configure(*configure_args)
make()
mkdirp(prefix.bin)
for root, dirs, files in os.walk('.'):
for name in files:
if name.endswith(".so") or name.endswith(".cc") \
or name.endswith(".pptx"):
continue
if "configure" is name:
continue
if os.access(join(root, name), os.X_OK):
install(join(root, name), prefix.bin)
mkdir(prefix.lib)
install_tree('lib', prefix.lib)
for root, dirs, files in os.walk('.'):
for name in files:
if fnmatch(name, '*.h'):
mkdirp(join(prefix.include, root.strip("./")))
install(join(root, name),
join(prefix.include, root.strip("./")))
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