Bump ray[tune] from 2.6.3 to 2.7.0

[dependabot]

Bumps ray[tune] from 2.6.3 to 2.7.0.

Release notes

Sourced from ray[tune]'s releases.

Ray-2.7.0

Release Highlights

Ray 2.7 release brings important stability improvements and enhancements to Ray libraries, with Ray Train and Ray Serve becoming generally available. Ray 2.7 is accompanied with a GA release of KubeRay.

• Following user feedback, we are rebranding “Ray AI Runtime (AIR)” to “Ray AI Libraries”. Without reducing any of the underlying functionality of the original Ray AI runtime vision as put forth in Ray 2.0, the underlying namespace (ray.air) is consolidated into ray.data, ray.train, and ray.tune. This change reduces the friction for new machine learning (ML) practitioners to quickly understand and leverage Ray for their production machine learning use cases.
• With this release, Ray Serve and Ray Train’s Pytorch support are becoming Generally Available -- indicating that the core APIs have been marked stable and that both libraries have undergone significant production hardening.
• In Ray Serve, we are introducing a new backwards-compatible DeploymentHandle API to unify various existing Handle APIs, a high performant gRPC proxy to serve gRPC requests through Ray Serve, along with various stability and usability improvements.
• In Ray Train, we are consolidating various Pytorch-based trainers into the TorchTrainer, reducing the amount of refactoring work new users needed to scale existing training scripts. We are also introducing a new train.Checkpoint API, which provides a consolidated way of interacting with remote and local storage, along with various stability and usability improvements.
• In Ray Core, we’ve added initial integrations with TPUs and AWS accelerators, enabling Ray to natively detect these devices and schedule tasks/actors onto them. Ray Core also officially now supports actor task cancellation and has an experimental streaming generator that supports streaming response to the caller.

Take a look at our refreshed documentation and the Ray 2.7 migration guide and let us know your feedback!

Ray Libraries

Ray AIR

🏗 Architecture refactoring:

• Ray AIR namespace: We are sunsetting the "Ray AIR" concept and namespace (#39516, #38632, #38338, #38379, #37123, #36706, #37457, #36912, #37742, #37792, #37023). The changes follow the proposal outlined in this REP.
• Ray Train Preprocessors, Predictors: We now recommend using Ray Data instead of Preprocessors (#38348, #38518, #38640, #38866) and Predictors (#38209).

Ray Data

🎉 New Features:

• In this release, we’ve integrated the Ray Core streaming generator API by default, which allows us to reduce memory footprint throughout the data pipeline (#37736).
• Avoid unnecessary data buffering between Read and Map operator (zero-copy fusion) (#38789)
• Add Dataset.write_images to write images (#38228)
• Add Dataset.write_sql() to write SQL databases (#38544)
• Support sort on multiple keys (#37124)
• Support reading and writing JSONL file format (#37637)
• Support class constructor args for Dataset.map() and flat_map() (#38606)
• Implement streamed read from Hugging Face Dataset (#38432)

💫Enhancements:

• Read data with multi-threading for FileBasedDataSource (#39493)
• Optimization to reduce ArrowBlock building time for blocks of size 1 (#38988)

... (truncated)

Commits

• b4bba47 [core] Fix empty resource update to GCS resource manager. (#39648) (#39664)
• 8cfb98a [docs][cherry-pick] Doc updates for Train (#39657)
• 68a7381 [Serve] Ignore cancel request when receving websocket.accept message (#39413)...
• 40e292d Downgrade grpc from 1.57.0 to 1.50.2 (#39585)
• dbc8c52 [core] loosen the check on release object (#39570) (#39577)
• 53809dc [core] skip all tests in test_actor_bounded_threads (#39553) (#39590)
• 8c1aa0a [train] Fix train_multinode_persistence release test (#39563) (#39589)
• eaf6ffd [train][docs] add Ray Train logo (#39572) (#39576)
• 315fdc6 [docs] move anaconda warning from installation to development doc (#39562) (#...
• 5891642 [train][doc] Fix doc code (#39522) (#39558)
• Additional commits viewable in compare view

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