PaddleSpeech/paddlespeech/s2t/decoders/ctcdecoder/swig/setup.py

# Copyright (c) 2021 PaddlePaddle Authors. 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."""
import argparse
import glob
import multiprocessing.pool
import os
import platform
import sys

from setuptools import distutils
from setuptools import Extension
from setuptools import 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')

# yapf: disable
FILES = [
    fn for fn in FILES if not (fn.endswith('main.cc') or fn.endswith('test.cc')
                               or fn.endswith('unittest.cc'))
]
# yapf: enable

LIBS = ['stdc++']
if platform.system() != 'Darwin':
    LIBS.append('rt')

ARGS = ['-O3', '-DNDEBUG', '-DKENLM_MAX_ORDER=6', '-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='paddlespeech_ctcdecoders',
    version='0.0.1a',
    description="CTC decoders in paddlespeech",
    author="PaddlePaddle Speech and Language Team",
    author_email="paddlesl@baidu.com",
    url="https://github.com/PaddlePaddle/PaddleSpeech",
    license='Apache 2.0',
    ext_modules=decoders_module,
    py_modules=['swig_decoders'] )