Bump ray from 2.40.0 to 2.47.0

[dependabot]

Bumps ray from 2.40.0 to 2.47.0.

Release notes

Sourced from ray's releases.

Ray-2.47.0

Release Highlights

• Prefill disaggregation is now supported in initial support in Ray Serve LLM (#53092). This is critical for production LLM serving use cases.
• Ray Data features a variety of performance improvements (locality-based scheduling, non-blocking execution) as well as improvements to observability, preprocessors, and other stability fixes.
• Ray Serve now features custom request routing algorithms, which is critical for high throughput traffic for large model use cases.

Ray Libraries

Ray Data

🎉 New Features:

• Add save modes support to file data sinks (#52900)
• Added flattening capability to the Concatenator preprocessor to support output vectorization use cases (#53378)

💫 Enhancements:

• Re-enable Actor locality-based scheduling. This PR also improves algorithms for ranking the locations for the bundle. (#52861)
• Disable blocking pipeline by default until Actor Pool fully scales up to min actors (#52754)
• Progress bar and dashboard improvements to show name of partial functions properly(#52280)

🔨 Fixes:

• Make Ray Data from_torch respect Dataset len (#52804)
• Fixing flaky aggregation test (#53383)
• Fix race condition bug in fault tolerance by disabling on_exit hook (#53249)
• Fix move_tensors_to_device utility for the list/tuple[tensor] case (#53109)
• Fix ActorPool scaling to avoid scaling down when the input queue is empty (#53009)
• Fix internal queues accounting for all Operators w/ an internal queue (#52806)
• Fix backpressure for FileBasedDatasource. This fixes potential OOMs for workloads using FileBasedDatasources (#52852)

📖 Documentation:

• Fix working code snippets (#52748)
• Improve AggregateFnV2 docstrings and examples (#52911)
• Improved documentation for vectorizers and API visibility in Data (#52456)

Ray Train

🎉 New Features:

• Added support for configuring Ray Train worker actor runtime environments. (#52421)
• Included Grafana panel data in Ray Train export for improved monitoring. (#53072)
• Introduced a structured logging environment variable to standardize log formats. (#52952)
• Added metrics for TrainControllerState to enhance observability. (#52805)

💫 Enhancements:

• Logging of controller state transitions to aid in debugging and analysis. (#53344)
• Improved handling of Noop scaling decisions for smoother scaling logic. (#53180)

🔨 Fixes:

• Improved move_tensors_to_device utility to correctly handle list / tuple of tensors. (#53109)

... (truncated)

Commits

• 6f4c0c0 [ci] use new docker account for releasing (#53646)
• 5626926 pin flashinfer-python to 0.2.5 (#53637)
• d5c36fb skip failing wheel test (#53624)
• 5c9f497 Revert "[core][gpu-objects] GPU Objects POC (#52938)" (#53602)
• 6b580a7 Fix iter_rows involving _get_max_chunk_size (#53495)
• 51956aa update version to 2.47.0 (#53494)
• 8ea9457 [Serve] update input arg for choose_replicas to be a list of candidate repl...
• d637be4 Increased stale bot GA operations per run, and fixed a typo. (#53446)
• 44684b9 [Docs] Fixes to e2e audio and xgboost notebooks for Anyscale Templates (#53452)
• 3efd531 Reduce default Arrow Block iter_rows batch size (#53413)
• Additional commits viewable in compare view

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[dependabot]

Superseded by #73.