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ray-1.9.0

ray-project/ray

版本发布时间: 2021-12-04 03:08:29

ray-project/ray最新发布版本:ray-2.37.0(2024-09-25 07:37:52)

Highlights

Ray Autoscaler

💫Enhancements:

Ray Client

🔨 Fixes:

Ray Core

🎉 New Features:

💫Enhancements:

🔨 Fixes:

📖Documentation:

Ray Java

API Changes:

Note:

Ray Datasets

🎉 New Features:

🔨 Fixes:

🏗 Architecture refactoring:

Ray Workflow

🎉 New Features:

🔨 Fixes:

RLlib

🏗 Architecture refactoring:

🔨 Fixes:

📖Documentation:

Tune

💫Enhancements:

🔨Fixes:

Train

Ray Train is now in Beta! The beta version includes various usability improvements for distributed PyTorch training and checkpoint management, support for Ray Client, and an integration with Ray Datasets for distributed data ingest.

Check out the docs here, and the migration guide from Ray SGD to Ray Train here. If you are using Ray Train, we’d love to hear your feedback here!

🎉 New Features:

💫Enhancements:

🔨Fixes:

📖Documentation:

Serve

We would love to hear from you! Fill out the Ray Serve survey here.

🎉 New Features:

🔨Fixes:

🏗 Architecture refactoring:

Dashboard

Thanks

Many thanks to all those who contributed to this release! @krfricke, @stefanbschneider, @ericl, @nikitavemuri, @qicosmos, @worldveil, @triciasfu, @AmeerHajAli, @javi-redondo, @architkulkarni, @pdames, @clay4444, @mGalarnyk, @liuyang-my, @matthewdeng, @suquark, @rkooo567, @mwtian, @chenk008, @dependabot[bot], @iycheng, @jiaodong, @scv119, @oscarknagg, @Rohan138, @stephanie-wang, @Zyiqin-Miranda, @ijrsvt, @roireshef, @tkaymak, @simon-mo, @ashione, @jovany-wang, @zenoengine, @tgaddair, @11rohans, @amogkam, @zhisbug, @lchu-ibm, @shrekris-anyscale, @pcmoritz, @yiranwang52, @mattip, @sven1977, @Yard1, @DmitriGekhtman, @ckw017, @WangTaoTheTonic, @wuisawesome, @kcpevey, @kfstorm, @rhamnett, @renos, @TeoZosa, @SongGuyang, @clarkzinzow, @avnishn, @iasoon, @gjoliver, @jjyao, @xwjiang2010, @dmatrix, @edoakes, @czgdp1807, @heng2j, @sungho-joo, @lixin-wei

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