Ray 0.8.0 Release Notes
This is the first release with gRPC direct calls enabled by default for both tasks and actors, which substantially improves task submission performance.
Highlights
- Enable gRPC direct calls by default (#6367). In this mode, actor tasks are sent directly from actor to actor over gRPC; the Raylet only coordinates actor creation. Similarly, with tasks, tasks are submitted directly from worker to worker over gRPC; the Raylet only coordinates the scheduling decisions. In addition, small objects (<100KB in size) are no longer placed in the object store. They are inlined into task submissions and returns when possible.
Note: in some cases, reconstruction of large evicted objects is not possible with direct calls. To revert to the 0.7.7 behaviour, you can set the environment variable RAY_FORCE_DIRECT=0.
Core
- [Dashboard] Add remaining features from old dashboard (#6489)
- Ray Kubernetes Operator Part 1: readme, structure, config and CRD realted file (#6332)
- Make sure numpy >= 1.16.0 is installed for fast pickling support (#6486)
- Avoid workers starting with the same random seed (#6471)
- Properly handle a forwarded task that gets forwarded back (#6271)
RLlib
- (Bug Fix): Remove the extra 0.5 in the Diagonal Gaussian entropy (#6475)
- AlphaZero and Ranked reward implementation (#6385)
Tune
- Add example and tutorial for DCGAN (#6400)
- Report trials by state fairly (#6395)
- Fixed bug in PBT where initial trial result is empty. (#6351)
Other Libraries
- [sgd] Add support for multi-model multi-optimizer training (#6317)
- [serve] Added deadline awareness (#6442)
- [projects] Return parameters for a command (#6409)
- [streaming] Streaming data transfer and python integration (#6185)
Thanks
We thank the following contributors for their work on this release:
@zplizzi, @istoica, @ericl, @mehrdadn, @walterddr, @ujvl, @alindkhare, @timgates42, @chaokunyang, @eugenevinitsky, @kfstorm, @Maltimore, @visatish, @simon-mo, @AmeerHajAli, @wumuzi520, @robertnishihara, @micafan, @pcmoritz, @zhijunfu, @edoakes, @sytelus, @ffbin, @richardliaw, @Qstar, @stephanie-wang, @Coac, @mitchellstern, @MissiontoMars, @deanwampler, @hhbyyh, @raulchen