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| 1 | +#!/usr/bin/env python |
| 2 | +# -*- coding: utf-8 -*- |
| 3 | +from setuptools import setup |
| 4 | +from setuptools import find_packages |
| 5 | +from pkg_resources import parse_version |
| 6 | + |
| 7 | +dependency_links = [ |
| 8 | + "https://github.com/sdatkinson/GPflow" # Use my fork |
| 9 | +] |
| 10 | + |
| 11 | +requirements = [ |
| 12 | + "matplotlib>=2.1.2", |
| 13 | + "gpflow==1.1.1", |
| 14 | + "pytest>=3.5.0" |
| 15 | +] |
| 16 | + |
| 17 | +# Check for TensorFlow |
| 18 | +# From GPflow: |
| 19 | +# Only detect TF if not installed or outdated. If not, do not do not list as |
| 20 | +# requirement to avoid installing over e.g. tensorflow-gpu |
| 21 | +# To avoid this, rely on importing rather than the package name (like pip). |
| 22 | + |
| 23 | +min_tf_version = '1.5.0' |
| 24 | +tf_cpu = 'tensorflow>={}'.format(min_tf_version) |
| 25 | +tf_gpu = 'tensorflow-gpu>={}'.format(min_tf_version) |
| 26 | + |
| 27 | +try: |
| 28 | + # If tf not installed, import raises ImportError |
| 29 | + import tensorflow as tf |
| 30 | + if parse_version(tf.VERSION) < parse_version(min_tf_version): |
| 31 | + # TF pre-installed, but below the minimum required version |
| 32 | + raise DeprecationWarning("TensorFlow version below minimum requirement") |
| 33 | +except (ImportError, DeprecationWarning) as e: |
| 34 | + # Add TensorFlow to dependencies to trigger installation/update |
| 35 | + requirements.append(tf_cpu) |
| 36 | + |
| 37 | +setup(name='structured_gpflow', |
| 38 | + version='0.1.0', |
| 39 | + description='structured-gpflow - GPs with Kronecker tricks', |
| 40 | + author='Steven Atkinson', |
| 41 | + author_email='steven@atkinson.mn', |
| 42 | + url='https://github.com/cics-nd/structured-gpflow', |
| 43 | + install_requires=requirements, |
| 44 | + dependency_links=dependency_links, |
| 45 | + packages=find_packages(), |
| 46 | +) |
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