Revision f3c511060ce62072a34a50319237d28b82d10448 authored by Vincent Dutordoir on 27 August 2020, 11:22:49 UTC, committed by GitHub on 27 August 2020, 11:22:49 UTC
* Update pull request template (#1510) Clarify template to make it easier for contributors to fill in relevant information. * Temporary workaround for tensorflow_probability dependency issue (#1522) * pin cloudpickle==1.3.0 as temporary workaround for tensorflow/probability#991 to unblock our build (to be reverted once fixed upstream) * Update readme with new project using GPflow (#1530) * fix bug in varying_noise notebook (#1526) * Fix formatting in docs (intro.md) and restore link removed by #1498 (#1520) * pin tensorflow<2.3 tensorflow-probability<0.11 (#1537) * Quadrature Refactoring (#1505) * WIP: quadrature refactoring * Removing old ndiagquad code * deleted test code * formatting and type-hint * merge modules * black formatting * formatting * solving failing tests * fixing failing tests * fixes * adapting tests for new syntax, keeping numerical behavior * black formatting * remove printf * changed code for compiled tf compatibility * black * restored to original version * undoing changes * renaming * renaming * renaming * reshape kwargs * quadrature along axis=-2, simplified broadcasting * black * docs * docs * helper function * docstrings and typing * added new and old quadrature equivalence tests * black * Removing comments Co-authored-by: Vincent Dutordoir <dutordoirv@gmail.com> * Typo Co-authored-by: Vincent Dutordoir <dutordoirv@gmail.com> * notation Co-authored-by: Vincent Dutordoir <dutordoirv@gmail.com> * reshape_Z_dZ return docstring fix * FIX: quad_old computed with the ndiagquad_old Co-authored-by: Vincent Dutordoir <dutordoirv@gmail.com> * more readable implementation Co-authored-by: Vincent Dutordoir <dutordoirv@gmail.com> * tf.ensure_shape added * removed ndiagquad * removed ndiagquad * Revert "removed ndiagquad" This reverts commit 7bb0e9f1e0f2b0e225a2b8a5b3092c4c2f24ba91. * FIX: shape checking of dZ * Revert "removed ndiagquad" This reverts commit 8e235241a697696e361158c30ff9aa9b4cc69f8a. Co-authored-by: Gustavo Carvalho <gustavo.carvalho@delfosim.com> Co-authored-by: ST John <st@prowler.io> Co-authored-by: Vincent Dutordoir <dutordoirv@gmail.com> * Add base_conditional_with_lm function (#1528) * Added base_conditional_with_lm function, which accepts Lm instead of Kmm Co-authored-by: Neil Ferguson <neil@prowler.io> Co-authored-by: Vincent Dutordoir <dutordoirv@gmail.com> Co-authored-by: st-- <st--@users.noreply.github.com> * Fixed separate_independent_conditional to correctly handle q_sqrt=None. (#1533) * Fixed separate_independent_conditional to correctly handle q_sqrt=None. Co-authored-by: Aidan Scannell <scannell.aidan@gmail.com> Co-authored-by: st-- <st--@users.noreply.github.com> * Bump version numbers to 2.1.0. (#1544) * Re-introduce pytest-xdist (#1541) Enables pytest-xdist for locally running tests (`make test`) on multiple cores in parallel. * check dependency versions are valid on CI (#1536) * Update to not use custom image (#1545) * Update to not use custom image * Add test requirements * Update parameter to be savable (#1518) * Fix for quadrature failure mode when autograph was set to False (#1548) * Fix and test * Change shape of quadrature tensors for better broadcasting (#1542) * using the first dimension to hold the quadrature summation * adapting ndiagquad wrapper * Changed bf for bX in docstrings Co-authored-by: Gustavo Carvalho <gustavo.carvalho@delfosim.com> Co-authored-by: st-- <st--@users.noreply.github.com> Co-authored-by: Vincent Dutordoir <dutordoirv@gmail.com> * Update min TFP supported version to 0.10 (#1551) * Broadcasting constant and zero mean function (#1550) * Broadcasting constant and zero mean function * Use rank instead of ndim Co-authored-by: st-- <st--@users.noreply.github.com> Co-authored-by: joelberkeley-pio <joel.berkeley@prowler.io> Co-authored-by: gustavocmv <47801305+gustavocmv@users.noreply.github.com> Co-authored-by: Gustavo Carvalho <gustavo.carvalho@delfosim.com> Co-authored-by: ST John <st@prowler.io> Co-authored-by: Neil Ferguson <nfergu@users.noreply.github.com> Co-authored-by: Neil Ferguson <neil@prowler.io> Co-authored-by: Aidan Scannell <as12528@my.bristol.ac.uk> Co-authored-by: Aidan Scannell <scannell.aidan@gmail.com> Co-authored-by: Sandeep Tailor <s.tailor@insysion.net> Co-authored-by: Artem Artemev <art.art.v@gmail.com>
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setup.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# pylint: skip-file
import os
import sys
from setuptools import find_packages, setup
# Dependencies of GPflow
requirements = [
"numpy>=1.10.0",
"scipy>=0.18.0,==1.4.1", # pinned to ==1.4.1 to satisfy tensorflow requirements
"multipledispatch>=0.6",
"tabulate",
"typing_extensions",
]
if sys.version_info < (3, 7):
# became part of stdlib in python 3.7
requirements.append("dataclasses")
# 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:
if os.environ.get("READTHEDOCS") != "True":
requirements.extend(
[
# tensorflow>=2.3 not compatible with tensorflow-probability<0.11
"tensorflow>=2.1.0,<2.3",
# tensorflow-probability==0.10.0 doesn't install correctly
# https://github.com/tensorflow/probability/issues/991
#
# gpflow uses private functionality not present in tensorflow-probability~=0.11
"tensorflow-probability>0.10.0,<0.11",
"setuptools>=41.0.0", # to satisfy dependency constraints
]
)
def read_file(filename):
with open(filename, encoding="utf-8") as f:
return f.read().strip()
version = read_file("VERSION")
readme_text = read_file("README.md")
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",
long_description=readme_text,
long_description_content_type="text/markdown",
license="Apache License 2.0",
keywords="machine-learning gaussian-processes kernels tensorflow",
url="https://www.gpflow.org",
project_urls={
"Source on GitHub": "https://github.com/GPflow/GPflow",
"Documentation": "https://gpflow.readthedocs.io",
},
packages=packages,
include_package_data=True,
install_requires=requirements,
extras_require={"ImageToTensorBoard": ["matplotlib"]},
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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