Bump ray[default,rllib] from 2.0.0 to 2.2.0

[dependabot[bot]]

Bumps ray[default,rllib] from 2.0.0 to 2.2.0.

Release notes

Sourced from ray[default,rllib]'s releases.

Ray-2.2.0

Release Highlights

Ray 2.2 is a stability-focused release, featuring stability improvements across many Ray components.

• Ray Jobs API is now GA. The Ray Jobs API allows you to submit locally developed applications to a remote Ray Cluster for execution. It simplifies the experience of packaging, deploying, and managing a Ray application.
• Ray Dashboard has received a number of improvements, such as the ability to see cpu flame graphs of your Ray workers and new metrics for memory usage.
• The Out-Of-Memory (OOM) Monitor is now enabled by default. This will increase the stability of memory-intensive applications on top of Ray.
• [Ray Data] we’ve heard numerous users report that when files are too large, Ray Data can have out-of-memory or performance issues. In this release, we’re enabling dynamic block splitting by default, which will address the above issues by avoiding holding too much data in memory.

Ray Libraries

Ray AIR

🎉 New Features:

• Add a NumPy first path for Torch and TensorFlow Predictors (#28917)

💫Enhancements:

• Suppress "NumPy array is not writable" error in torch conversion (#29808)
• Add node rank and local world size info to session (#29919)

🔨 Fixes:

• Fix MLflow database integrity error (#29794)
• Fix ResourceChangingScheduler dropping PlacementGroupFactory args (#30304)
• Fix bug passing 'raise' to FailureConfig (#30814)
• Fix reserved CPU warning if no CPUs are used (#30598)

📖Documentation:

• Fix examples and docs to specify batch_format in BatchMapper (#30438)

🏗 Architecture refactoring:

• Deprecate Wandb mixin (#29828)
• Deprecate Checkpoint.to_object_ref and Checkpoint.from_object_ref (#30365)

Ray Data Processing

🎉 New Features:

• Support all PyArrow versions released by Apache Arrow (#29993, #29999)
• Add select_columns() to select a subset of columns (#29081)
• Add write_tfrecords() to write TFRecord files (#29448)
• Support MongoDB data source (#28550)
• Enable dynamic block splitting by default (#30284)
• Add from_torch() to create dataset from Torch dataset (#29588)
• Add from_tf() to create dataset from TensorFlow dataset (#29591)
• Allow to set batch_size in BatchMapper (#29193)
• Support read/write from/to local node file system (#29565)

💫Enhancements:

• Add include_paths in read_images() to return image file path (#30007)
• Print out Dataset statistics automatically after execution (#29876)

... (truncated)

Commits

• 840215b Add top navigation to documentation (#30225) (#31054)
• 4b523e0 Disable further docker image building for 2.2.0. (#31055)
• b6af088 Cherry pick #30238, #30243, #30675, #30318, #30866 (#30938)
• 4f8691e Pick use cases doc into 2.2 (#30935)
• 8420e8a [draft][no_ci] Add 2.2.0 release logs. (#30743) (#30908)
• f45c36c update release version to 2.2.0.
• d40c1ca [Telemetry] Add a dashboard usage (#30730) (#30873)
• 46f8fb8 [core] Fix a corner case where raylet started at the same ip addr + port lead...
• 8936034 Fix duration formatter to show number of days and beyond (#30862) (#30868)
• 0680827 Revert "[Core] RetryObjectInPlasmaErrors tries to fetch all objects, not just...
• Additional commits viewable in compare view

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[jagapiou]

@dependabot rebase

[dependabot[bot]]

Looks like this PR is already up-to-date with main! If you'd still like to recreate it from scratch, overwriting any edits, you can request @dependabot recreate.

[duenez]

There are changes to the way inputs to models are handled that are blocking this version release. Probably we shouldn't update.

[dependabot[bot]]

OK, I won't notify you again about this release, but will get in touch when a new version is available. If you'd rather skip all updates until the next major or minor version, let me know by commenting @dependabot ignore this major version or @dependabot ignore this minor version. You can also ignore all major, minor, or patch releases for a dependency by adding an ignore condition with the desired update_types to your config file.

If you change your mind, just re-open this PR and I'll resolve any conflicts on it.