Add package kaldi. (#3503)
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var/spack/repos/builtin/packages/kaldi/package.py
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107
var/spack/repos/builtin/packages/kaldi/package.py
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##############################################################################
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# Copyright (c) 2013-2016, Lawrence Livermore National Security, LLC.
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# Produced at the Lawrence Livermore National Laboratory.
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#
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# This file is part of Spack.
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# Created by Todd Gamblin, tgamblin@llnl.gov, All rights reserved.
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# LLNL-CODE-647188
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#
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# For details, see https://github.com/llnl/spack
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# Please also see the LICENSE file for our notice and the LGPL.
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#
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# This program is free software; you can redistribute it and/or modify
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# it under the terms of the GNU Lesser General Public License (as
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# published by the Free Software Foundation) version 2.1, February 1999.
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#
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# This program is distributed in the hope that it will be useful, but
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# WITHOUT ANY WARRANTY; without even the IMPLIED WARRANTY OF
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the terms and
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# conditions of the GNU Lesser General Public License for more details.
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#
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# You should have received a copy of the GNU Lesser General Public
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# License along with this program; if not, write to the Free Software
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# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
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##############################################################################
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from spack import *
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from distutils.dir_util import copy_tree
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from os.path import join
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from fnmatch import fnmatch
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import os
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class Kaldi(Package): # Does not use Autotools
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"""Kaldi is a toolkit for speech recognition written
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in C++ and licensed under the Apache License v2.0.
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Kaldi is intended for use by speech recognition researchers."""
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homepage = "https://github.com/kaldi-asr/kaldi"
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url = "https://github.com/kaldi-asr/kaldi/archive/master.zip"
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version('master', git='https://github.com/kaldi-asr/kaldi.git')
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variant('shared', default=True,
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description='build shared libraries')
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variant('double', default=False,
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description='build with double precision floats')
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variant('cuda', default=False,
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description='build with CUDA')
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depends_on('blas')
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depends_on('speex')
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depends_on('openfst@1.6:')
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depends_on('cuda', when='+cuda')
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depends_on('sph2pipe', type='run')
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depends_on('sctk', type='run')
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def install(self, spec, prefix):
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configure_args = [
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'--threaded-math',
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'--speex-root=' + spec['speex'].prefix,
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'--fst-root=' + spec['openfst'].prefix,
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'--fst-version=' + str(spec['openfst'].version)
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]
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if '~shared' in spec:
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configure_args.append('--static')
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else:
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configure_args.append('--shared')
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if '^openblas' in spec:
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configure_args.append('--mathlib=OPENBLAS')
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configure_args.append('--openblas-root=' + spec['blas'].prefix)
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if '+openmp' in spec['blas'].variants:
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configure_args.append('--threaded-math')
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elif '^atlas' in spec:
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configure_args.append('--mathlib=ATLAS')
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configure_args.append('--atlas-root=' + spec['blas'].prefix)
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if '+pthread' in spec['blas'].variants:
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configure_args.append('--threaded-atlas')
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elif '^intel-parallel-studio' in spec or '^intel-mkl' in spec:
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configure_args.append('--mathlib=MKL')
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configure_args.append('--mkl-root=' + spec['blas'].prefix)
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if '+openmp' in spec['blas'].variants:
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configure_args.append('--mkl-threading=iomp')
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if '+cuda' in spec:
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configure_args.append('--use-cuda=yes')
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configure_args.append('--cudatk-dir=' + spec['cuda'].prefix)
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with working_dir("src"):
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configure(*configure_args)
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make()
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mkdirp(prefix.bin)
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for root, dirs, files in os.walk('bin'):
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for name in files:
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if os.access(join(root, name), os.X_OK):
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install(join(root, name), prefix.bin)
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mkdir(prefix.lib)
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copy_tree('lib', prefix.lib)
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for root, dirs, files in os.walk('.'):
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for name in files:
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if fnmatch(name, '*.h'):
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mkdirp(join(prefix.include, root.strip("./")))
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install(join(root, name),
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join(prefix.include, root.strip("./")))
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