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setup.py
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setup.py
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#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from setuptools import setup, find_packages, Extension
import sys
if sys.version_info < (3,):
sys.exit('Sorry, Python3 is required for fairseq.')
with open('README.md') as f:
readme = f.read()
if sys.platform == 'darwin':
extra_compile_args = ['-stdlib=libc++']
else:
extra_compile_args = ['-std=c++11']
bleu = Extension(
'fairseq.libbleu',
sources=[
'fairseq/clib/libbleu/libbleu.cpp',
'fairseq/clib/libbleu/module.cpp',
],
extra_compile_args=extra_compile_args,
)
setup(
name='fairseq',
version='0.8.0',
description='Facebook AI Research Sequence-to-Sequence Toolkit',
url='https://github.com/pytorch/fairseq',
classifiers=[
'Intended Audience :: Science/Research',
'License :: OSI Approved :: MIT License',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
],
long_description=readme,
long_description_content_type='text/markdown',
install_requires=[
'cffi',
'fastBPE',
'numpy',
'regex',
'sacrebleu',
'torch',
'tqdm',
'lmdb',
],
packages=find_packages(exclude=['scripts', 'tests']),
ext_modules=[bleu],
test_suite='tests',
entry_points={
'console_scripts': [
'fairseq-eval-lm = fairseq_cli.eval_lm:cli_main',
'fairseq-generate = fairseq_cli.generate:cli_main',
'fairseq-interactive = fairseq_cli.interactive:cli_main',
'fairseq-preprocess = fairseq_cli.preprocess:cli_main',
'fairseq-score = fairseq_cli.score:main',
'fairseq-train = fairseq_cli.train:cli_main',
'fairseq-validate = fairseq_cli.validate:cli_main',
],
},
)