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PaddleSpeech/deploy/decoder_setup.py

56 lines
1.5 KiB

from setuptools import setup, Extension
import glob
import platform
import os
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
FILES = glob.glob('kenlm/util/*.cc') + glob.glob('kenlm/lm/*.cc') + glob.glob(
'kenlm/util/double-conversion/*.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']
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++ ./ctc_decoders.i')
ctc_beam_search_decoder_module = [
Extension(
name='_swig_ctc_decoders',
sources=FILES +
['scorer.cpp', 'ctc_decoders_wrap.cxx', 'ctc_decoders.cpp'],
language='C++',
include_dirs=['.', './kenlm'],
libraries=LIBS,
extra_compile_args=ARGS)
]
setup(
name='swig_ctc_decoders',
version='0.1',
description="""CTC decoders""",
ext_modules=ctc_beam_search_decoder_module,
py_modules=['swig_ctc_decoders'], )