Changelog

Develop

Major Features and Improvements

Behavioral changes

Bug fixes and small changes

Requirement changes

Thanks

Develop

Major Features and Improvements

  • Support Python 3.9

  • Support TensorFlow 2.5

  • improved compilation in tf.functions, use of XLA where applicable

  • developer: modernization of setup, CI and more

Thanks

  • Remco de Boer for many commits and cleanups

1.2.0 (17.12.20)

Major Features and Improvements

  • Python 3.8 support

  • Allow eager execution by setting with tf.config.run_functions_eagerly(True) or the environment variable “PHASESPACE_EAGER”

  • Deterministic random number generation via seed or tf.random.Generator instance

Behavioral changes

Bug fixes and small changes

Requirement changes

  • tighten TensorFlow to 2.3/2.4

  • tighten TensorFlow Probability to 0.11/0.12

Thanks

  • Remco de Boer and Stefan Pflüger for discussions on random number genration

1.1.0 (27.1.2020)

This release switched to TensorFlow 2.0 eager mode. Please upgrade your TensorFlow installation if possible and change your code (minimal changes) as described under “Behavioral changes”. In case this is currently impossible to do, please downgrade to < 1.1.0.

Major Features and Improvements

  • full TF2 compatibility

Behavioral changes

  • generate now returns an eager Tensor. This is basically a numpy array wrapped by TensorFlow. To explicitly convert it to a numpy array, use the numpy() method of the eager Tensor.

  • generate_tensor is now depreceated, generate can directly be used instead.

Bug fixes and small changes

Requirement changes

  • requires now TensorFlow >= 2.0.0

Thanks

1.0.4 (13-10-2019)

Major Features and Improvements

Release to conda-forge, thanks to Chris Burr