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27 November 2021, 02:00:58 UTC
Revision 30120a183c81cc5d18af0a00ae35e3ec9e06063a authored by Artem Artemev on 25 November 2017, 12:33:07 UTC, committed by Mark van der Wilk on 25 November 2017, 12:33:07 UTC 
Address issues #568, #561 (#575)
 
* Add a bunch of test for Parameter and DataHolder. Minibatch seed can be changed after cleaning or in defer_build.

* Add dataholder tests.

* Add failure creation tests to data holders.

* Shape and dtype for dataholders work for external tensors.

* According fix in dataholder test.

* Change travis file.

* Experiments with travis.

* Improvements in Parameterized tests.

* Exclude external optimizer from coverage report.

* Improvements in optimizer tests.

* Indent functions in optimizer's tests.

* Increase coverage in Parameterized.

* Increase codecov for Parameterized.

* Developing test coverage further.

* Tests Parameterized feeds.

* Call parameter size in tests.

* 100% for ParamList.

* Minibatch tests.

* Increase coverage for Minibatch.

* Setup.py clean up. Stick to 1.4 tensorflow version. Remove backwards for py2.7.

* Increase coverage for Parameters.

* Increase coverage for Parameters build check.

* Core tests for TensorConverter.

* Code coverage targets.

* Change initialization policy at decors and trainers.

* Check initialization status of variable using tf.is_variable_initialized tensor.

* [#568] Improve initialization status checking performance.

* [#568, #561] Test for Dataset iterators is not possible.

* Increase coverage for Parameter.  method was added, therefore required some tests.  method inconsistently handled session inputs.

* Added more tests for Parameter object covering cases when tensor is trainable and parameter is not. Also added test for Parameter string conversion.
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Tip revision: 30120a183c81cc5d18af0a00ae35e3ec9e06063a authored by Artem Artemev on 25 November 2017, 12:33:07 UTC
Address issues #568, #561 (#575)
Tip revision: 30120a1
setup.py 
#!/usr/bin/env python
# -*- coding: utf-8 -*-

# pylint: skip-file

from setuptools import setup
from setuptools import find_packages

import re
import os
import sys
from pkg_resources import parse_version

# load version form _version.py
exec(open("gpflow/_version.py").read())

# Dependencies of GPflow
requirements = [
    'numpy>=1.10.0',
    'scipy>=0.18.0',
    'pandas>=0.18.1'
]

min_tf_version = '1.4.0'
tf_cpu = 'tensorflow>={}'.format(min_tf_version)
tf_gpu = 'tensorflow-gpu>={}'.format(min_tf_version)

# 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) as e:
    # Add TensorFlow to dependencies to trigger installation/update
    requirements.append(tf_cpu)

packages = find_packages('.')
package_data={'gpflow': ['gpflow/gpflowrc']}

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,
      install_requires=requirements,
      tests_require=['pytest'],
      package_data=package_data,
      include_package_data=True,
      test_suite='tests',
      extras_require={'Tensorflow with GPU': [tf_gpu]},
      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 :: 3.5',
          'Programming Language :: Python :: 3.6',
          'Topic :: Scientific/Engineering :: Artificial Intelligence'
      ])
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