https://github.com/GPflow/GPflow
Revision 6e43fecb3942b98dfc6da24237662da40deb54f1 authored by st-- on 22 October 2019, 16:54:27 UTC, committed by GitHub on 22 October 2019, 16:54:27 UTC
Changes behaviour of step_callback so that the callback only gets called once per optimisation step, not once per objective function evaluation. Makes gpflow2's Scipy() behave more like gpflow1's ScipyOptimizer()/monitoring. * Call step_callback through scipy.minimize's callback procedure (at the end of each step); previous behaviour was to call step_callback at each evaluation of objective function * split off from unpack_tensors (now stateless) the new assign_tensors (assigns to variables) * change callback_func to pass variables and their current values to step_callback, not assigning/computing loss/gradients * fix type signature * Improve docstring
1 parent a186ca5
Tip revision: 6e43fecb3942b98dfc6da24237662da40deb54f1 authored by st-- on 22 October 2019, 16:54:27 UTC
Change step_callback behaviour of Scipy optimizer in gpflow2 to behave as in gpflow1 (#1111)
Change step_callback behaviour of Scipy optimizer in gpflow2 to behave as in gpflow1 (#1111)
Tip revision: 6e43fec
setup.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# pylint: skip-file
import os
from pathlib import Path
from pkg_resources import parse_version
from setuptools import find_packages, setup
# Dependencies of GPflow
requirements = [
'numpy>=1.10.0',
'scipy>=0.18.0',
'multipledispatch>=0.4.9',
'tensorflow-probability>=0.8',
'tabulate',
]
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# Only detect TF if not installed or outdated.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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