Ray v0.7.7 Release Notes
Release Date: 2019-12-16 // over 4 years ago-
🚀 Ray 0.7.7 Release Notes
Highlights
- 👍 Remote functions and actors now support kwargs and positionals (#5606).
- ⏱
ray.getnow supports atimeoutargument (#6107). If the object isn't available before the timeout passes, aRayTimeoutErroris raised. - ✅ Ray now supports detached actors (#6036), which persist beyond the lifetime of the script that creates them and can be referred to by a user-defined name.
- ➕ Added documentation for how to deploy Ray on YARN clusters using Skein (#6119, #6173).
- ⏱ The Ray scheduler now attempts to schedule tasks fairly to avoid starvation (#5851).
Core
- 👷 Progress towards a new backend architecture where tasks and actor tasks are submitted directly between workers. #5783, #5991, #6040, #6054, #6075, #6088, #6122, #6147, #6171, #6177, #6118, #6188, #6259, #6277
- 🏁 Progress towards Windows compatibility. #6071, #6204, #6205, #6282
- 🐎 Now using cloudpickle_fast for serialization by default, which supports more types of Python objects without sacrificing performance. #5658, #5805, #5960, #5978
- 🛠 Various bugfixes. #5946, #6175, #6176, #6231, #6253, #6257, #6276,
RLlib
- 👀 Now using pytorch's function to see if gpu is available. #5890
- 🛠 Fixed APEX priorities returning zero all the time. #5980
- 🛠 Fixed leak of TensorFlow assign operations in DQN/DDPG. #5979
- 🛠 Fixed choosing the wrong neural network model for Atari in 0.7.5. #6087
- ➕ Added large scale regression test for RLlib. #6093
- 🛠 Fixed and added test for LR annealing config. #6101
- ⬇️ Reduced log verbosity. #6154
- ➕ Added a microbatch optimizer with an A2C example. #6161
Tune
- Search algorithms now use early stopped trials for optimization. #5651
- Metrics are now outputted via a tabular format. Errors are outputted on a separate table. #5822
- 🔀 In the distributed setting, checkpoints are now deleted automatically post-sync using an rsync flag. Checkpoints on the driver are garbage collected according to the policy defined by the user. #5877
- A much faster ExperimentAnalysis tool. #5962
- Trial executor callbacks now take in a “Runner” parameter. #5868
- 🛠 Fixed
queue_trialsso to enable cluster autoscaling with a CPU-Only Head Node. #5900 - ➕ Added a TensorBoardX logger. #6133
Other Libraries
- Serving: Progress towards a new Ray serving library. #5854, #5886, #5894, #5929, #5937, #5961, #6051
Thanks
We thank the following contributors for their amazing contributions:
@zhuohan123, @jovany-wang, @micafan, @richardliaw, @waldroje, @mitchellstern, @visatish, @mehrdadn, @istoica, @ericl, @adizim, @simon-mo, @lsklyut, @zhu-eric, @pcmoritz, @hhbyyh, @suquark, @sotte, @hershg, @pschafhalter, @stackedsax, @edoakes, @mawright, @stephanie-wang, @ujvl, @ashione, @couturierc, @AdamGleave, @robertnishihara, @DaveyBiggers, @daiyaanarfeen, @danyangz, @AmeerHajAli, @mimoralea