PaddleSpeech/deploy/setup.py

"""Script to build and install decoder package."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

from setuptools import setup, Extension, distutils
import glob
import platform
import os, sys
import multiprocessing.pool
import argparse

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'))
]

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='swig_decoders',
    version='0.1',
    description="""CTC decoders""",
    ext_modules=decoders_module,
    py_modules=['swig_decoders'], )