https://github.com/GPflow/GPflow
Revision 24b5733d161bed633dd5c00c4de3faf4d4ee0322 authored by Eric Hammy on 13 November 2019, 12:27:36 UTC, committed by Artem Artemev on 13 November 2019, 12:27:36 UTC
Migrate MCMC notebook to gpflow 2 using tensorflow probabilities. Changes required a few changes across the rest of the codebase, outside of the notebook. * small change to leaf printing function (fix bug, which was preventing printing of composite kernels) * parameters and trainable_parameters now return tuples, not generators, like tf implementation of variables, trainable_variables * tfp.distributions now work with different dtypes (by wrapping of parameters), so now play nicely with gpflow.
1 parent 046b107
Tip revision: 24b5733d161bed633dd5c00c4de3faf4d4ee0322 authored by Eric Hammy on 13 November 2019, 12:27:36 UTC
Migrate MCMC notebook to gpflow2.0 (#1100)
Migrate MCMC notebook to gpflow2.0 (#1100)
Tip revision: 24b5733
setup.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# pylint: skip-file
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
# Dependencies of GPflow
requirements = [
'numpy>=1.10.0',
'scipy>=0.18.0',
'multipledispatch>=0.4.9',
'tensorflow-probability>=0.8',
'tabulate',
] + ([] if is_py37 else ["dataclasses"])
min_tf_version = '2.0.0'
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# Only detect TF if not installed or outdated.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
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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