Revision cb6774594710f5b1875d30443257cbcef35eda88 authored by Artem Artemev on 10 November 2017, 22:12:57 UTC, committed by Artem Artemev on 10 November 2017, 22:12:57 UTC
1 parent 5d54393
setup.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import print_function
from setuptools import setup
import re
import os
import sys
from pkg_resources import parse_version
# load version form _version.py
VERSIONFILE = "gpflow/_version.py"
verstrline = open(VERSIONFILE, "rt").read()
VSRE = r"^__version__ = ['\"]([^'\"]*)['\"]"
mo = re.search(VSRE, verstrline, re.M)
if mo:
verstr = mo.group(1)
else:
raise RuntimeError("Unable to find version string in %s." % (VERSIONFILE,))
# Dependencies of GPflow
dependencies = ['numpy>=1.9', 'scipy>=0.16']
min_tf_version = '1.0.0'
# Only detect TF if not installed or outdated. If not, do not do not list as
# requirement to avoid installing over e.g. tensorflow-gpu
# To avoid this, rely on importing rather than the package name (like pip).
try:
# If tf not installed, import raises ImportError
import tensorflow as tf
if parse_version(tf.__version__) < parse_version(min_tf_version):
# TF pre-installed, but below the minimum required version
raise DeprecationWarning("TensorFlow version below minimum requirement")
except (ImportError, DeprecationWarning) as e:
# Add TensorFlow to dependencies to trigger installation/update
dependencies.append('tensorflow>={0}'.format(min_tf_version))
setup(name='gpflow',
version=verstr,
author="James Hensman, Alex Matthews",
author_email="james.hensman@gmail.com",
description=("Gaussian process methods in tensorflow"),
license="Apache License 2.0",
keywords="machine-learning gaussian-processes kernels tensorflow",
url="http://github.com/gpflow/gpflow",
package_data={'gpflow': ['gpflow/gpflowrc']},
include_package_data=True,
ext_modules=[],
packages=["gpflow"],
package_dir={'gpflow': 'gpflow'},
py_modules=['gpflow.__init__'],
test_suite='testing',
install_requires=dependencies,
extras_require={'tensorflow with gpu': ['tensorflow-gpu>=1.0.0'],
'Export parameters as pandas dataframes': ['pandas>=0.18.1']},
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 :: 2.7',
'Programming Language :: Python :: 3.5',
'Topic :: Scientific/Engineering :: Artificial Intelligence'])
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