https://github.com/GPflow/GPflow
Revision 5a945d67b37120610880c3323224a4e86404ae1d authored by Vincent Dutordoir on 27 August 2020, 11:07:08 UTC, committed by GitHub on 27 August 2020, 11:07:08 UTC
* Broadcasting constant and zero mean function * Use rank instead of ndim
1 parent 903b60d
Tip revision: 5a945d67b37120610880c3323224a4e86404ae1d authored by Vincent Dutordoir on 27 August 2020, 11:07:08 UTC
Broadcasting constant and zero mean function (#1550)
Broadcasting constant and zero mean function (#1550)
Tip revision: 5a945d6
setup.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# pylint: skip-file
import os
import sys
from setuptools import find_packages, setup
# Dependencies of GPflow
requirements = [
"numpy>=1.10.0",
"scipy>=0.18.0,==1.4.1", # pinned to ==1.4.1 to satisfy tensorflow requirements
"multipledispatch>=0.6",
"tabulate",
"typing_extensions",
]
if sys.version_info < (3, 7):
# became part of stdlib in python 3.7
requirements.append("dataclasses")
# We do not want to install tensorflow in the readthedocs environment, where we
# use autodoc_mock_imports instead. Hence we use this flag to decide whether or
# not to append tensorflow and tensorflow_probability to the requirements:
if os.environ.get("READTHEDOCS") != "True":
requirements.extend(
[
# tensorflow>=2.3 not compatible with tensorflow-probability<0.11
"tensorflow>=2.1.0,<2.3",
# tensorflow-probability==0.10.0 doesn't install correctly
# https://github.com/tensorflow/probability/issues/991
#
# gpflow uses private functionality not present in tensorflow-probability~=0.11
"tensorflow-probability>0.10.0,<0.11",
"setuptools>=41.0.0", # to satisfy dependency constraints
]
)
def read_file(filename):
with open(filename, encoding="utf-8") as f:
return f.read().strip()
version = read_file("VERSION")
readme_text = read_file("README.md")
packages = find_packages(".", exclude=["tests"])
setup(
name="gpflow",
version=version,
author="James Hensman, Alex Matthews",
author_email="james.hensman@gmail.com",
description="Gaussian process methods in TensorFlow",
long_description=readme_text,
long_description_content_type="text/markdown",
license="Apache License 2.0",
keywords="machine-learning gaussian-processes kernels tensorflow",
url="https://www.gpflow.org",
project_urls={
"Source on GitHub": "https://github.com/GPflow/GPflow",
"Documentation": "https://gpflow.readthedocs.io",
},
packages=packages,
include_package_data=True,
install_requires=requirements,
extras_require={"ImageToTensorBoard": ["matplotlib"]},
python_requires=">=3.6",
classifiers=[
"License :: OSI Approved :: Apache Software License",
"Natural Language :: English",
"Operating System :: MacOS :: MacOS X",
"Operating System :: Microsoft :: Windows",
"Operating System :: POSIX :: Linux",
"Programming Language :: Python :: 3.6",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
],
)
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