https://github.com/GPflow/GPflow
Revision bd1e9c04b48dd5ccca9619d5eaa2595a358bdb08 authored by st-- on 31 January 2020, 15:59:08 UTC, committed by GitHub on 31 January 2020, 15:59:08 UTC
In GPflow 1, each kernel's K and K_diag method was supposed to take a presliced argument. Not all kernels actually had this signature, and not all kernels who had this signature actually did anything with the argument. This PR makes presliced an argument solely to the kernel's __call__, with the intent of making the entire set-up a lot cleaner.
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Tip revision: bd1e9c04b48dd5ccca9619d5eaa2595a358bdb08 authored by st-- on 31 January 2020, 15:59:08 UTC
Clean up `presliced` argument to kernel calls (#1235)
Tip revision: bd1e9c0
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# Only detect TF if not installed or outdated.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'
      ])
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