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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.
import os
from setuptools import setup, find_packages, Extension
import sys
if sys.version_info < (3, 6):
sys.exit('Sorry, Python >= 3.6 is required for fairseq.')
with open('README.md') as f:
readme = f.read()
if sys.platform == 'darwin':
extra_compile_args = ['-stdlib=libc++', '-O3']
else:
extra_compile_args = ['-std=c++11', '-O3']
class NumpyExtension(Extension):
"""Source: https://stackoverflow.com/a/54128391"""
def __init__(self, *args, **kwargs):
self.__include_dirs = []
super().__init__(*args, **kwargs)
@property
def include_dirs(self):
import numpy
return self.__include_dirs + [numpy.get_include()]
@include_dirs.setter
def include_dirs(self, dirs):
self.__include_dirs = dirs
extensions = [
Extension(
'fairseq.libbleu',
sources=[
'fairseq/clib/libbleu/libbleu.cpp',
'fairseq/clib/libbleu/module.cpp',
],
extra_compile_args=extra_compile_args,
),
NumpyExtension(
'fairseq.data.data_utils_fast',
sources=['fairseq/data/data_utils_fast.pyx'],
language='c++',
extra_compile_args=extra_compile_args,
),
NumpyExtension(
'fairseq.data.token_block_utils_fast',
sources=['fairseq/data/token_block_utils_fast.pyx'],
language='c++',
extra_compile_args=extra_compile_args,
),
]
cmdclass = {}
try:
# torch is not available when generating docs
from torch.utils import cpp_extension
extensions.extend([
cpp_extension.CppExtension(
'fairseq.libnat',
sources=[
'fairseq/clib/libnat/edit_dist.cpp',
],
)
])
if 'CUDA_HOME' in os.environ:
extensions.extend([
cpp_extension.CppExtension(
'fairseq.libnat_cuda',
sources=[
'fairseq/clib/libnat_cuda/edit_dist.cu',
'fairseq/clib/libnat_cuda/binding.cpp'
],
)])
cmdclass['build_ext'] = cpp_extension.BuildExtension
except ImportError:
pass
if 'READTHEDOCS' in os.environ:
# don't build extensions when generating docs
extensions = []
if 'build_ext' in cmdclass:
del cmdclass['build_ext']
# use CPU build of PyTorch
dependency_links = [
'https://download.pytorch.org/whl/cpu/torch-1.3.0%2Bcpu-cp36-cp36m-linux_x86_64.whl'
]
else:
dependency_links = []
if 'clean' in sys.argv[1:]:
# Source: https://bit.ly/2NLVsgE
print("deleting Cython files...")
import subprocess
subprocess.run(['rm -f fairseq/*.so fairseq/**/*.so fairseq/*.pyd fairseq/**/*.pyd'], shell=True)
setup(
name='fairseq',
version='0.9.0',
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 :: 3.6',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
],
long_description=readme,
long_description_content_type='text/markdown',
setup_requires=[
'cython',
'numpy',
'setuptools>=18.0',
],
install_requires=[
'cffi',
'cython',
'editdistance',
'numpy',
'regex',
'sacrebleu',
'torch',
'tqdm',
],
dependency_links=dependency_links,
packages=find_packages(exclude=['scripts', 'tests']),
ext_modules=extensions,
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:cli_main',
'fairseq-train = fairseq_cli.train:cli_main',
'fairseq-validate = fairseq_cli.validate:cli_main',
],
},
cmdclass=cmdclass,
zip_safe=False,
)