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setup.py
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setup.py
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# Copyright 2018 The TensorFlow Probability Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ============================================================================
"""Install tensorflow_probability."""
import os
import sys
from setuptools import find_packages
from setuptools import setup
from setuptools.command.install import install as InstallCommandBase
from setuptools.dist import Distribution
# To enable importing version.py directly, we add its path to sys.path.
version_path = os.path.join(
os.path.dirname(__file__), 'tensorflow_probability', 'python')
sys.path.append(version_path)
from version import __version__ # pylint: disable=g-import-not-at-top
REQUIRED_PACKAGES = [
'six >= 1.10.0',
'numpy >= 1.13.3',
'decorator',
'cloudpickle >= 1.2.2',
'gast >= 0.2' # For autobatching
]
if '--release' in sys.argv:
release = True
sys.argv.remove('--release')
else:
# Build a nightly package by default.
release = False
if release:
project_name = 'tensorflow-probability'
else:
project_name = 'tfp-nightly'
class BinaryDistribution(Distribution):
"""This class is needed in order to create OS specific wheels."""
def has_ext_modules(self):
return False
with open('README.md', 'r') as fh:
long_description = fh.read()
setup(
name=project_name,
version=__version__,
description='Probabilistic modeling and statistical '
'inference in TensorFlow',
long_description=long_description,
long_description_content_type='text/markdown',
author='Google LLC',
author_email='no-reply@google.com',
url='http://github.com/tensorflow/probability',
license='Apache 2.0',
packages=find_packages(),
install_requires=REQUIRED_PACKAGES,
# Add in any packaged data.
include_package_data=True,
package_data={'': ['*.so']},
exclude_package_data={'': ['BUILD', '*.h', '*.cc']},
zip_safe=False,
distclass=BinaryDistribution,
cmdclass={
'pip_pkg': InstallCommandBase,
},
classifiers=[
'Development Status :: 4 - Beta',
'Intended Audience :: Developers',
'Intended Audience :: Education',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: Apache Software License',
'Programming Language :: Python :: 2',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.4',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
'Topic :: Scientific/Engineering',
'Topic :: Scientific/Engineering :: Mathematics',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
'Topic :: Software Development',
'Topic :: Software Development :: Libraries',
'Topic :: Software Development :: Libraries :: Python Modules',
],
keywords='tensorflow probability statistics bayesian machine learning',
extras_require={ # e.g. `pip install tfp-nightly[jax]`
'jax': ['jax', 'jaxlib'],
}
)