Ray v0.7.6 Release Notes

Release Date: 2019-10-24 // over 4 years ago
  • ๐Ÿš€ Ray 0.7.6 Release Notes

    Highlights

    ๐Ÿ‘ The Ray autoscaler now supports Kubernetes as a backend (#5492). This makes it possible to start a Ray cluster on top of your existing Kubernetes cluster with a simple shell command.

    - This is a new feature and may be rough around the edges. If you run into problems or have suggestions for how to improve Ray on Kubernetes, please file an issue.

    ๐Ÿ”Š The Ray cluster dashboard has been revamped (#5730, #5857) to improve the UI and include logs and error messages. More improvements will be coming in the near future.

    • You can try out the dashboard by starting Ray with ray.init(include_webui=True) or ray start --include-webui.
    • Please let us know if you have suggestions for what would be most useful to you in the new dashboard.

    Core

    • ๐Ÿ”จ Progress towards refactoring the Python worker on top of the core worker. #5750, #5771, #5752
    • ๐Ÿ›  Fix an issue in local mode where multiple actors didn't work properly. #5863
    • ๐Ÿ›  Fix class attributes and methods for actor classes. #5802
    • ๐Ÿ‘Œ Improvements in error messages and handling. #5782, #5746, #5799
    • Serialization improvements. #5841, #5725
    • ๐Ÿ“š Various documentation improvements. #5801, #5792, #5414, #5747, #5780, #5582

    RLlib

    • โž• Added a link to BAIR blog posts in the documentation. #5762
    • Tracing for eager tensorflow policies with tf.function. #5705

    Tune

    • ๐Ÿ‘Œ Improved MedianStoppingRule. #5402
    • โž• Add PBT + Memnn example. #5723
    • โž• Add support for function-based stopping condition. #5754
    • ๐Ÿ’พ Save/Restore for Suggestion Algorithms. #5719
    • TensorBoard HParams for TF2.0. #5678

    Other Libraries

    Thanks

    We thank the following contributors for their amazing contributions:

    @hershg, @JasonWayne, @kfstorm, @richardliaw, @batzner, @vakker, @robertnishihara, @stephanie-wang, @gehring, @edoakes, @zhijunfu, @pcmoritz, @mitchellstern, @ujvl, @simon-mo, @ecederstrand, @mawright, @ericl, @anthonyhsyu, @suquark, @waldroje