https://github.com/GPflow/GPflow
Revision d9951946d64542268b85610593495e187343d42e authored by gustavocmv on 30 July 2020, 11:58:40 UTC, committed by GitHub on 30 July 2020, 11:58:40 UTC
* 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>
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Tip revision: d9951946d64542268b85610593495e187343d42e authored by gustavocmv on 30 July 2020, 11:58:40 UTC
Quadrature Refactoring (#1505)
Tip revision: d995194
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",
    "multipledispatch>=0.6",
    "tabulate",
    "typing_extensions",
    "cloudpickle==1.3.0",  # temporary workaround for tensorflow/probability#991
]

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>=2.1.0,<2.3", "tensorflow-probability>=0.9,<0.11"])


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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