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# Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Script to build and install decoder package.
It is used by scripts/asr_language_modeling/ngram_lm/install_beamsearch_decoders.sh to install
KenLM and OpenSeq2Seq decoder.
You can set the order of KenLM model by changing -DKENLM_MAX_ORDER=10 argument.
"""
from __future__ import absolute_import, division, print_function
import argparse
import distutils.ccompiler
import glob
import multiprocessing.pool
import os
import platform
import sys
from setuptools import Extension, distutils, setup
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument(
"--num_processes", default=1, type=int, help="Number of cpu processes to build package. (default: %(default)d)"
)
args = parser.parse_known_args()
# reconstruct sys.argv to pass to setup below
sys.argv = [sys.argv[0]] + args[1]
# monkey-patch for parallel compilation
# See: https://stackoverflow.com/a/13176803
def parallelCCompile(
self,
sources,
output_dir=None,
macros=None,
include_dirs=None,
debug=0,
extra_preargs=None,
extra_postargs=None,
depends=None,
):
# those lines are copied from distutils.ccompiler.CCompiler directly
macros, objects, extra_postargs, pp_opts, build = self._setup_compile(
output_dir, macros, include_dirs, sources, depends, extra_postargs
)
cc_args = self._get_cc_args(pp_opts, debug, extra_preargs)
# parallel code
def _single_compile(obj):
try:
src, ext = build[obj]
except KeyError:
return
self._compile(obj, src, ext, cc_args, extra_postargs, pp_opts)
# convert to list, imap is evaluated on-demand
thread_pool = multiprocessing.pool.ThreadPool(args[0].num_processes)
list(thread_pool.imap(_single_compile, objects))
return objects
def compile_test(header, library):
dummy_path = os.path.join(os.path.dirname(__file__), "dummy")
command = (
"bash -c \"g++ -include "
+ header
+ " -l"
+ library
+ " -x c++ - <<<'int main() {}' -o "
+ dummy_path
+ " >/dev/null 2>/dev/null && rm "
+ dummy_path
+ " 2>/dev/null\""
)
return os.system(command) == 0
# hack compile to support parallel compiling
distutils.ccompiler.CCompiler.compile = parallelCCompile
FILES = glob.glob('kenlm/util/*.cc') + glob.glob('kenlm/lm/*.cc') + glob.glob('kenlm/util/double-conversion/*.cc')
FILES += glob.glob('openfst-1.6.3/src/lib/*.cc')
FILES = [fn for fn in FILES if not (fn.endswith('main.cc') or fn.endswith('test.cc') or fn.endswith('unittest.cc'))]
LIBS = ['stdc++']
if platform.system() != 'Darwin':
LIBS.append('rt')
ARGS = ['-O3', '-DNDEBUG', '-DKENLM_MAX_ORDER=10', '-std=c++11']
if compile_test('zlib.h', 'z'):
ARGS.append('-DHAVE_ZLIB')
LIBS.append('z')
if compile_test('bzlib.h', 'bz2'):
ARGS.append('-DHAVE_BZLIB')
LIBS.append('bz2')
if compile_test('lzma.h', 'lzma'):
ARGS.append('-DHAVE_XZLIB')
LIBS.append('lzma')
os.system('swig -python -c++ ./decoders.i')
decoders_module = [
Extension(
name='_swig_decoders',
sources=FILES + glob.glob('*.cxx') + glob.glob('*.cpp'),
language='c++',
include_dirs=['.', 'kenlm', 'openfst-1.6.3/src/include', 'ThreadPool',],
libraries=LIBS,
extra_compile_args=ARGS,
)
]
setup(
name='ctc_decoders',
version='1.1',
description="""CTC decoders""",
ext_modules=decoders_module,
py_modules=['ctc_decoders', 'swig_decoders'],
)
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