Revision 3e8bf1822003feaee9f4ca9e46cc06e4a81d041e authored by Vincent Dutordoir on 25 February 2020, 17:39:09 UTC, committed by GitHub on 25 February 2020, 17:39:09 UTC
This PR (superseding #1271) enables auto-generation of all of GPflow's documentation. Upon a new merge in `develop`, we trigger our new repo [GPflow/docs](https://github.com/GPflow/docs) to: - copy the complete content of GPflow/doc - compile the notebooks `.ipynb` from the `.pct.py` files - create the `rst` files for the api documentation required for readthedocs. #### TODO: - [ ] Allow for documentation at different tags of the source code.
1 parent 167973b
setup.py
#!/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
is_py37 = sys.version_info.major == 3 and sys.version_info.minor == 7
on_rtd = os.environ.get('READTHEDOCS', None) == 'True' # copied from the docs
# Dependencies of GPflow
requirements = [
'numpy>=1.10.0',
'scipy>=0.18.0',
'multipledispatch>=0.4.9',
'tabulate',
]
if not is_py37:
requirements.append("dataclasses")
if not on_rtd:
requirements.append("tensorflow-probability>=0.9")
min_tf_version = '2.1.0'
tf_cpu = 'tensorflow'
tf_gpu = 'tensorflow-gpu'
# Only detect TF if not installed or outdated.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):
# Add TensorFlow to dependencies to trigger installation/update
if not on_rtd:
# Do not add TF if we are installing GPflow on readthedocs
requirements.append(tf_cpu)
with open(str(Path(".", "VERSION").absolute())) as version_file:
version = version_file.read().strip()
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",
license="Apache License 2.0",
keywords="machine-learning gaussian-processes kernels tensorflow",
url="http://github.com/GPflow/GPflow",
packages=packages,
include_package_data=True,
install_requires=requirements,
extras_require={'Tensorflow with GPU': [tf_gpu]},
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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