Bump ray from 2.46.0 to 2.51.1

[dependabot]

Bumps ray from 2.46.0 to 2.51.1.

Release notes

Sourced from ray's releases.

Release-2.51.1

• Reuse previous metadata if transferring the same tensor list with nixl (ray-project/ray#58309)

Ray-2.51.0

Release Highlights

Ray Train:

• Ray Train v2 is now enabled by default! Ray Train v2 provides usability and stability improvements, as well as new features. For more details, see the REP and Migration Guide. To disable Ray Train v2, set the environment variable RAY_TRAIN_V2_ENABLED=0.

Ray Serve:

• Application-level autoscaling: Introduces custom autoscaling policies that operate across all deployments in an application, enabling coordinated scaling decisions based on aggregate metrics. This is a significant advancement over per-deployment autoscaling, allowing for more intelligent resource management at the application level.
• Enhanced autoscaling capabilities with replica-level metrics: Wires up AutoscalingContext with total_running_requests, total_queued_requests, and total_num_requests, plus adds support for min, max, and time-weighted average aggregation functions. These improvements give users fine-grained control to implement sophisticated custom autoscaling policies based on real-time workload metrics.

Ray Libraries

Ray Data

🎉 New Features:

• Added enhanced support for Unity Catalog integration (#57954, #58049)
• New expression evaluator infrastructure for improved query optimization (#57778, #57855)
• Support for SaveMode in write operations (#57946)
• Added approximate quantile aggregator (#57598)
• MCAP datasource support for robotics data (#55716)
• Callback-based stat computation for preprocessors and ValueCounter (#56848)
• Support for multiple download URIs with improved error handling (#57775)

💫 Enhancements:

• Improved projection pushdown handling with renamed columns (#58033, #58037, #58040, #58071)
• Enhanced hash-shuffle performance with better retry policies (#57572)
• Streamlined concurrency parameter semantics (#57035)
• Improved execution progress rendering (#56992)
• Better handling of empty columns in pandas blocks (#57740)
• Enhanced support for complex data types and column operations (#57271)
• Reduced memory usage with improved streaming generator backpressure (#57688)
• Enhanced preemption testing and utilities (#57883)
• Improved Download operator display names (#57773)
• Better handling of variable-shaped tensors and tensor columns (#57240)
• Optimized aggregator execution with out-of-order processing by default (#57753)

🔨 Fixes:

• Fixed renamed columns to be appropriately dropped from output (#58040, #58071)
• Fixed handling of renames in projection pushdown (#58033, #58037)
• Fixed vLLMEngineStage field name inconsistency for images (#57980)
• Fixed driver hang during streaming generator block metadata retrieval (#56451)
• Fixed retry policy for hash-shuffle tasks (#57572)
• Fixed prefetch loop to avoid blocking on fetches (#57613)
• Fixed empty projection handling (#57740)

... (truncated)

Commits

• eeb38c7 Fixes to tests (#58317)
• f86c8a0 [core][rdt][cherry-pick] Reuse previous metadata if transferring the same ten...
• 19ef33b change version to 2.51.1 (#58297)
• b6b1fac [core][cherry-pick] RDT NIXL Limitations + Throw Exception (#58159)
• 92ad009 [air] disable tests that have been jailed (#58090)
• fe28529 [core] (cgroups 22/n) Cherrypick public API doc strings. (#58064)
• 2f4360c [Data] Fix renamed columns to be appropriately dropped from the ouput (#58040...
• 801bd72 [train] Update vicuna release test example to use V2 (#57767) (#58053)
• 94f3589 [Data] Cherry-pick: Add enhanced support for Unity Catalog (#57954) (#58049)
• 0e6b21a [Data] Fixing handling of renames in projection pushdown (#58033) (#58037)
• Additional commits viewable in compare view

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