2019-03-31 00:50:32 +00:00
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#!/usr/bin/env python
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2020-08-20 02:03:22 +00:00
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# Copyright The PyTorch Lightning team.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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2019-03-31 00:50:32 +00:00
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2019-10-28 22:41:13 +00:00
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import os
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2020-11-13 21:57:46 +00:00
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2019-08-07 20:05:08 +00:00
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# Always prefer setuptools over distutils
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2020-11-13 21:57:46 +00:00
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from setuptools import find_packages, setup
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2019-04-03 16:40:03 +00:00
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2019-10-28 22:41:13 +00:00
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try:
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import builtins
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except ImportError:
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import __builtin__ as builtins
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2019-08-08 09:17:23 +00:00
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2019-10-28 22:41:13 +00:00
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# https://packaging.python.org/guides/single-sourcing-package-version/
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2019-04-03 16:40:03 +00:00
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# http://blog.ionelmc.ro/2014/05/25/python-packaging/
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2019-10-28 22:41:13 +00:00
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PATH_ROOT = os.path.dirname(__file__)
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builtins.__LIGHTNING_SETUP__ = True
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import pytorch_lightning # noqa: E402
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2020-12-01 21:58:32 +00:00
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from pytorch_lightning.setup_tools import _load_long_description, _load_requirements # noqa: E402
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2020-04-07 19:42:19 +00:00
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2020-08-06 11:12:47 +00:00
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# https://setuptools.readthedocs.io/en/latest/setuptools.html#declaring-extras
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# Define package extras. These are only installed if you specify them.
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# From remote, use like `pip install pytorch-lightning[dev, docs]`
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# From local copy of repo, use like `pip install ".[dev, docs]"`
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extras = {
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2020-09-10 22:38:29 +00:00
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# 'docs': load_requirements(file_name='docs.txt'),
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2020-12-01 21:58:32 +00:00
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'examples': _load_requirements(path_dir=os.path.join(PATH_ROOT, 'requirements'), file_name='examples.txt'),
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'loggers': _load_requirements(path_dir=os.path.join(PATH_ROOT, 'requirements'), file_name='loggers.txt'),
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'extra': _load_requirements(path_dir=os.path.join(PATH_ROOT, 'requirements'), file_name='extra.txt'),
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'test': _load_requirements(path_dir=os.path.join(PATH_ROOT, 'requirements'), file_name='test.txt')
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2020-08-06 11:12:47 +00:00
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}
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2020-09-25 14:00:02 +00:00
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extras['dev'] = extras['extra'] + extras['loggers'] + extras['test']
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2020-09-10 22:38:29 +00:00
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extras['all'] = extras['dev'] + extras['examples'] # + extras['docs']
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2020-08-06 11:12:47 +00:00
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2020-11-20 20:32:13 +00:00
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# These packages shall be installed only on GPU machines
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PACKAGES_GPU_ONLY = (
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'horovod',
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)
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# create a version for CPU machines
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for ex in ('cpu', 'cpu-extra'):
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kw = ex.split('-')[1] if '-' in ex else 'all'
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# filter cpu only packages
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extras[ex] = [pkg for pkg in extras[kw] if not any(pgpu.lower() in pkg.lower() for pgpu in PACKAGES_GPU_ONLY)]
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2019-08-08 17:06:20 +00:00
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# https://packaging.python.org/discussions/install-requires-vs-requirements /
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2019-08-08 09:17:23 +00:00
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# keep the meta-data here for simplicity in reading this file... it's not obvious
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2019-08-08 17:08:02 +00:00
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# what happens and to non-engineers they won't know to look in init ...
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2019-08-08 09:17:23 +00:00
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# the goal of the project is simplicity for researchers, don't want to add too much
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# engineer specific practices
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setup(
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2020-12-01 21:58:32 +00:00
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name="pytorch-lightning",
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2019-10-28 22:41:13 +00:00
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version=pytorch_lightning.__version__,
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description=pytorch_lightning.__docs__,
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author=pytorch_lightning.__author__,
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author_email=pytorch_lightning.__author_email__,
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url=pytorch_lightning.__homepage__,
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2020-01-20 19:50:31 +00:00
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download_url='https://github.com/PyTorchLightning/pytorch-lightning',
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2019-10-28 22:41:13 +00:00
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license=pytorch_lightning.__license__,
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2020-04-21 12:26:47 +00:00
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packages=find_packages(exclude=['tests', 'tests/*', 'benchmarks']),
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2019-11-09 05:59:14 +00:00
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2020-12-01 21:58:32 +00:00
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long_description=_load_long_description(PATH_ROOT),
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2019-11-09 05:59:14 +00:00
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long_description_content_type='text/markdown',
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2019-08-05 20:19:55 +00:00
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include_package_data=True,
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zip_safe=False,
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2019-11-09 05:59:14 +00:00
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2019-08-08 09:17:23 +00:00
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keywords=['deep learning', 'pytorch', 'AI'],
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python_requires='>=3.6',
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2019-10-28 22:41:13 +00:00
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setup_requires=[],
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2020-12-01 21:58:32 +00:00
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install_requires=_load_requirements(PATH_ROOT),
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2020-08-06 11:12:47 +00:00
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extras_require=extras,
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2019-11-09 05:59:14 +00:00
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2020-02-09 22:39:10 +00:00
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project_urls={
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"Bug Tracker": "https://github.com/PyTorchLightning/pytorch-lightning/issues",
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"Documentation": "https://pytorch-lightning.rtfd.io/en/latest/",
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"Source Code": "https://github.com/PyTorchLightning/pytorch-lightning",
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},
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2019-08-05 20:19:55 +00:00
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classifiers=[
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'Environment :: Console',
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'Natural Language :: English',
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# How mature is this project? Common values are
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# 3 - Alpha, 4 - Beta, 5 - Production/Stable
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'Development Status :: 4 - Beta',
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# Indicate who your project is intended for
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'Intended Audience :: Developers',
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'Topic :: Scientific/Engineering :: Artificial Intelligence',
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'Topic :: Scientific/Engineering :: Image Recognition',
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'Topic :: Scientific/Engineering :: Information Analysis',
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# Pick your license as you wish
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2020-09-09 16:14:59 +00:00
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'License :: OSI Approved :: Apache Software License',
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2019-08-05 20:19:55 +00:00
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'Operating System :: OS Independent',
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# Specify the Python versions you support here. In particular, ensure
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# that you indicate whether you support Python 2, Python 3 or both.
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'Programming Language :: Python :: 3',
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'Programming Language :: Python :: 3.6',
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'Programming Language :: Python :: 3.7',
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2020-06-09 20:50:59 +00:00
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'Programming Language :: Python :: 3.8',
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2019-08-05 20:19:55 +00:00
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],
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2019-04-03 16:40:03 +00:00
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)
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