https://github.com/GPflow/GPflow
Revision 1164235071397edf4dc0e227992d6fae4bb3a5ed authored by Eric Hammy on 11 February 2020, 14:27:49 UTC, committed by GitHub on 11 February 2020, 14:27:49 UTC
* Inconisistency on whether q_sqrt is triangular fixed. Problem: * KL divergence calculations only take lower triangle parts of q_sqrt in their calculation (implying a lower triangular parameterisation of covariance) * Conditional calculations perform calculations using the whole of q_sqrt. * The end result is if you forgot to add the triangular transform to the q_sqrt, your forward pass may be the same (if you initialise with a triangular matrix), but your gradients will immediately stop q_sqrt being triangular. Fix: * Conditional calulcations now only take the lower triangle parts of q_sqrt in their calculation
1 parent 7275533
Tip revision: 1164235071397edf4dc0e227992d6fae4bb3a5ed authored by Eric Hammy on 11 February 2020, 14:27:49 UTC
Inconisistency on whether q_sqrt is triangular fixed. (#1223)
Inconisistency on whether q_sqrt is triangular fixed. (#1223)
Tip revision: 1164235
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>=0.9',
'tabulate',
] + ([] if is_py37 else ["dataclasses"])
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# Only detect TF if not installed or outdated.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
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'
])
Computing file changes ...