Ray Libraries

Ray Data

💫 Enhancements:

• Simplify custom metadata provider API (#47575)
• Change counts of metrics to rates of metrics (#47236)
• Throw exception for non-streaming HF datasets with "override_num_blocks" argument (#47559)
• Refactor custom optimizer rules (#47605)

🔨 Fixes:

• Remove ineffective retry code in plan_read_op (#47456)
• Fix incorrect pending task size if outputs are empty (#47604)

Ray Train

💫 Enhancements:

• Update run status and add stack trace to TrainRunInfo (#46875)

Ray Serve

💫 Enhancements:

• Allow control of some serve configuration via env vars (#47533)
• [serve] Faster detection of dead replicas (#47237)

🔨 Fixes:

• [Serve] fix component id logging field (#47609)

RLlib

💫 Enhancements:

• New API stack:
  • Add restart-failed-env option to EnvRunners. (#47608)
  • Offline RL: Store episodes in state form. (#47294)
  • Offline RL: Replace GAE in MARWILOfflinePreLearner with GeneralAdvantageEstimation connector in learner pipeline. (#47532)
  • Off-policy algos: Add episode sampling to EpisodeReplayBuffer. (#47500)
  • RLModule APIs: Add SelfSupervisedLossAPI for RLModules that bring their own loss and InferenceOnlyAPI. (#47581, #47572)

Ray Core

💫 Enhancements:

• [aDAG] Allow custom NCCL group for aDAG (#47141)
• [aDAG] support buffered input (#47272)
• [aDAG] Support multi node multi reader (#47480)
• [Core] Make is_gpu, is_actor, root_detached_id fields late bind to workers. (#47212)
• [Core] Reconstruct actor to run lineage reconstruction triggered actor task (#47396)
• [Core] Optimize GetAllJobInfo API for performance (#47530)

🔨 Fixes:

• [aDAG] Fix ranks ordering for custom NCCL group (#47594)

Ray Clusters

📖 Documentation:

• [KubeRay] add a guide for deploying vLLM with RayService (#47038)

Thanks

Many thanks to all those who contributed to this release!
@ruisearch42, @andrewsykim, @timkpaine, @rkooo567, @WeichenXu123, @GeneDer, @sword865, @simonsays1980, @angelinalg, @sven1977, @jjyao, @woshiyyya, @aslonnie, @zcin, @omatthew98, @rueian, @khluu, @justinvyu, @bveeramani, @nikitavemuri, @chris-ray-zhang, @liuxsh9, @xingyu-long, @peytondmurray, @rynewang