Revision 235853956f699c32dcc9ce4c4311724c3f90705a authored by st-- on 15 April 2020, 12:19:00 UTC, committed by GitHub on 15 April 2020, 12:19:00 UTC
Release notes:
- Improve structure of likelihoods subdirectory (#1416)
- Update (#1401) and GPflow 2 upgrade guide (#1414)
- Improved handling of invalid values for constrained Parameters (#1408)
- Improvements on types/function annotations (#1406, #1420)
- Documentation improvements (metalearning with GPs: #1382, coregionalization notebook: #1402, MCMC notebook: #1410, intro to gpflow with tensorflow 2: #1413)
- Minor documentation fixes (#1429, #1430, #1433)
- Fix: move matplotlib import inside ImageToTensorBoard (#1399)
- Fix: tf.function compilation of ndiagquad (#1418)
- Fix: cache tensorboard file writers and re-use them (#1424)
2 parent s 47e788a + 3fc050d
Raw File
#!/usr/bin/env python
# -*- coding: utf-8 -*-

# pylint: skip-file

import os
import sys
from pathlib import Path

from pkg_resources import parse_version
from setuptools import find_packages, setup

# 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:
on_readthedocs = os.environ.get("READTHEDOCS", None) == "True"

# Dependencies of GPflow
requirements = ["numpy>=1.10.0", "scipy>=0.18.0", "multipledispatch>=0.6", "tabulate"]

if sys.version_info < (3, 7):
    # became part of stdlib in python 3.7

if not on_readthedocs:

min_tf_version = "2.1.0"
tf_cpu = "tensorflow"
tf_gpu = "tensorflow-gpu"

# for latest_version() [see]:
def latest_version(package_name):
    import json
    from urllib import request
    import re

    url = f"{package_name}/json"
    data = json.load(request.urlopen(url))
    # filter out rc and beta releases and, more generally, any releases that
    # do not contain exclusively numbers and dots.
    versions = [parse_version(v) for v in data["releases"].keys() if re.match("^[0-9.]+$", v)]
    return versions[-1]  # return latest version

# Only detect TF if not installed or outdated.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).

    # 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):
    # Add TensorFlow to dependencies to trigger installation/update
    if not on_readthedocs:
        # Do not add TF if we are installing GPflow on readthedocs
        gast_requirement = (
            if latest_version("tensorflow") < parse_version("2.2")
            else "gast>=0.3.3"

with open(str(Path(".", "VERSION").absolute())) as version_file:
    version =

packages = find_packages(".", exclude=["tests"])

    author="James Hensman, Alex Matthews",
    description="Gaussian process methods in TensorFlow",
    license="Apache License 2.0",
    keywords="machine-learning gaussian-processes kernels tensorflow",
    extras_require={"Tensorflow with GPU": [tf_gpu], "ImageToTensorBoard": ["matplotlib"]},
        "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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