mirror of
https://github.com/facebookresearch/fairseq.git
synced 2024-08-17 04:20:36 +03:00
72 lines
1.8 KiB
Python
72 lines
1.8 KiB
Python
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# Copyright (c) 2017-present, Facebook, Inc.
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# All rights reserved.
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#
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# This source code is licensed under the license found in the LICENSE file in
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# the root directory of this source tree. An additional grant of patent rights
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# can be found in the PATENTS file in the same directory.
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#
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from setuptools import setup, find_packages, Extension
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from setuptools.command.build_py import build_py
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import sys
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from torch.utils.ffi import create_extension
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if sys.version_info < (3,):
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sys.exit('Sorry, Python3 is required for fairseq.')
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with open('README.md') as f:
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readme = f.read()
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with open('LICENSE') as f:
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license = f.read()
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with open('requirements.txt') as f:
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reqs = f.read()
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bleu = Extension(
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'fairseq.libbleu',
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sources=[
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'fairseq/clib/libbleu/libbleu.cpp',
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'fairseq/clib/libbleu/module.cpp',
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],
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extra_compile_args=['-std=c++11'],
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)
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conv_tbc = create_extension(
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'fairseq.temporal_convolution_tbc',
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relative_to='fairseq',
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headers=['fairseq/clib/temporal_convolution_tbc/temporal_convolution_tbc.h'],
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sources=['fairseq/clib/temporal_convolution_tbc/temporal_convolution_tbc.cpp'],
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define_macros=[('WITH_CUDA', None)],
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with_cuda=True,
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extra_compile_args=['-std=c++11'],
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)
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class build_py_hook(build_py):
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def run(self):
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conv_tbc.build()
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build_py.run(self)
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setup(
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name='fairseq',
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version='0.1.0',
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description='Facebook AI Research Sequence-to-Sequence Toolkit',
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long_description=readme,
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license=license,
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install_requires=reqs.strip().split('\n'),
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packages=find_packages(),
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ext_modules=[bleu],
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# build and install PyTorch extensions
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package_data={
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'fairseq': ['temporal_convolution_tbc/*.so'],
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},
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include_package_data=True,
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cmdclass={
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'build_py': build_py_hook,
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},
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)
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