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setup.py
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setup.py
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# Copyright 2018 Google LLC
#
# 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
#
# https://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.
from setuptools import setup, find_packages
# The following should be updated with each new jaxlib release.
_current_jaxlib_version = '0.1.65'
_available_cuda_versions = ['101', '102', '110', '111', '112']
_dct = {}
with open('jax/version.py') as f:
exec(f.read(), _dct)
__version__ = _dct['__version__']
_minimum_jaxlib_version = _dct['_minimum_jaxlib_version']
setup(
name='jax',
version=__version__,
description='Differentiate, compile, and transform Numpy code.',
author='JAX team',
author_email='jax-dev@google.com',
packages=find_packages(exclude=["examples"]),
package_data={'jax': ['py.typed']},
python_requires='>=3.6',
install_requires=[
'numpy >=1.12',
'absl-py',
'opt_einsum',
],
extras_require={
# Minimum jaxlib version; used in testing.
'minimum-jaxlib': [f'jaxlib=={_minimum_jaxlib_version}'],
# CPU-only jaxlib can be installed via:
# $ pip install jax[cpu]
'cpu': [f'jaxlib>={_minimum_jaxlib_version}'],
# CUDA installations require adding jax releases URL; e.g.
# $ pip install jax[cuda110] -f https://storage.googleapis.com/jax-releases/jax_releases.html
**{f'cuda{version}': f"jaxlib=={_current_jaxlib_version}+cuda{version}"
for version in _available_cuda_versions}
},
url='https://github.com/google/jax',
license='Apache-2.0',
classifiers=[
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
]
)