# Ray 1.11.0 — Ray-1.11.0

- Product: Ray (https://whatsnew.fyi/product/ray)
- Vendor: Anyscale
- Date: 2022-03-09
- Version: 1.11.0
- Original notes: https://github.com/ray-project/ray/releases/tag/ray-1.11.0
- Permalink: https://whatsnew.fyi/product/ray/releases/1.11.0

What's New is an index, not a publisher: every entry below links to the vendor's own release notes, which are the authoritative source. Entries are labelled where they are hand-curated sample data, pre-releases, or drawn from a secondary source such as a developer blog.

Reuse: the summaries, labels and curation here are © What's New. Quote freely with attribution and a link back; wholesale republication of the corpus is not permitted — terms: https://whatsnew.fyi/terms. The vendors' own release notes remain their publishers'.

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- **changed** — Ray no longer starts Redis by default, with cluster metadata now stored in the GCS instead
- **added** — AWS Cloudwatch dashboard support for autoscaler
- **added** — Kuberay autoscaler prototype
- **fixed** — Ray.autoscaler.sdk import issue
- **added** — Set actor died error message in ActorDiedError
- **changed** — Event stats is enabled by default
- **fixed** — Better support for nested tasks
- **fixed** — Fixed 16GB mac perf issue by limiting the plasma store size to 2GB
- **fixed** — Fix SchedulingClassInfo.running_tasks memory leak
- **fixed** — Round robin during spread scheduling
- **added** — More powerful to_torch() API providing more control over the GPU batch format
- **fixed** — Fix simple Dataset sort generating only 1 non-empty block
- **fixed** — Improve error handling across sorting, groupbys, and aggregations
- **fixed** — Fix boolean tensor column representation and slicing
- **added** — Better utils for flattening complex inputs and enable prev-actions for LSTM/attention for complex action spaces
- **added** — MultiAgentEnv pre-checker
- **added** — Base env pre-checker
- **added** — It is now possible to load all evaluated points from an experiment into a Searcher
- **added** — Add CometLoggerCallback
- **added** — Add PrintCallback and MLflowLoggerCallback
- **fixed** — Fixed workflow recovery issue due to a bug of dynamic output

##### Highlights

🎉 Ray no longer starts Redis by default. Cluster metadata previously stored in Redis is stored in the GCS now.

##### Ray Autoscaler

🎉 New Features
- AWS Cloudwatch dashboard support #20266 

💫 Enhancements
- Kuberay autoscaler prototype #21086

🔨 Fixes
- Ray.autoscaler.sdk import issue #21795

##### Ray Core

🎉 New Features
- Set actor died error message in ActorDiedError #20903
- Event stats is enabled by default #21515

🔨 Fixes
- Better support for nested tasks
- Fixed 16GB mac perf issue by limit the plasma store size to 2GB #21224
- Fix `SchedulingClassInfo.running_tasks` memory leak #21535
- Round robin during spread scheduling #19968

🏗 Architecture refactoring
- Refactor scheduler resource reporting public APIs #21732
- Refactor ObjectManager wait logic to WaitManager #21369

##### Ray Data Processing
🎉 New Features
- More powerful to_torch() API, providing more control over the GPU batch format. (#21117)

🔨 Fixes
- Fix simple Dataset sort generating only 1 non-empty block. (#21588)
- Improve error handling across sorting, groupbys, and aggregations. (#21610, #21627)
- Fix boolean tensor column representation and slicing. (#22358)

##### RLlib

🎉 New Features
- Better utils for flattening complex inputs and enable prev-actions for LSTM/attention for complex action spaces. (#21330)
- `MultiAgentEnv` pre-checker (#21476)
- Base env pre-checker. (#21569)

🔨 Fixes
- Better defaults for QMix (#21332)
- Fix contrib/MADDPG + pettingzoo coop-pong-v4. (#21452)
- Fix action unsquashing causes inf/NaN actions for unbounded action spaces. (#21110)
- Ignore PPO KL-loss term completely if kl-coeff == 0.0 to avoid NaN values (#21456)
- `unsquash_action` and `clip_action` (when None) cause wrong actions computed by `Trainer.compute_single_action`. (#21553)
- Conv2d default filter tests and add default setting for 96x96 image obs space. (#21560)
- Bing back and fix offline RL(BC & MARWIL) learning tests. (#21574, #21643)
- SimpleQ should not use a prio. replay buffer. (#21665)
- Fix video recorder env wrapper. Added test case. (#21670)

🏗 Architecture refactoring
- Decentralized multi-agent learning (#21421)
- Preparatory PR for multi-agent multi-GPU learner (alpha-star style) (#21652)

##### Ray Workflow
🔨 Fixes
- Fixed workflow recovery issue due to a bug of dynamic output #21571

##### Tune
🎉 New Features
- It is now possible to load all evaluated points from an experiment into a Searcher (#21506)
- Add CometLoggerCallback (#20766) 

💫 Enhancements
- Only sync the checkpoint folder instead of the entire trial folder for cloud checkpoint. (#21658)
- Add test for heterogeneous resource request deadlocks (#21397)
- Remove unused `return_or_clean_cached_pg` (#21403)
- Remove `TrialExecutor.resume_trial` (#21225)
- Leave only one canonical way of stopping a trial (#21021)

🔨 Fixes
- Replace deprecated `running_sanity_check` with `sanity_checking` in PTL integration (#21831)
- Fix loading an `ExperimentAnalysis` object without a registered `Trainable` (#21475)
- Fix stale node detection bug (#21516)
- Fixes to allow `tune/tests/test_commands.py` to run on Windows (#21342)
- Deflake PBT tests (#21366)
- Fix dtype coercion in `tune.choice` (#21270)

📖 Documentation
- Fix typo in `schedulers.rst` (#21777)

##### Train
🎉 New Features
- Add PrintCallback (#21261)
- Add MLflowLoggerCallback(#20802)

💫 Enhancements
- Refactor Callback implementation (#21468, #21357, #21262)

🔨 Fixes
- Fix Dataloader (#21467)

📖 Documentation
- Documentation and example fixes (#​​21761, #21689, #21464)

##### Serve
🎉 New Features
- Checkout our revampt end-to-end [tutorial](https://docs.ray.io/en/master/serve/end_to_end_tutorial.html) that walks through the deployment journey! (#20765)

🔨 Fixes
- Warn when serve.start() with different options (#21562)
- Detect http.disconnect and cancel requests properly (#21438)

_[Truncated at 4000 characters — full notes: https://github.com/ray-project/ray/releases/tag/ray-1.11.0]_