⬆️ Bump ray from 1.12.1 to 2.3.0

[dependabot]

Bumps ray from 1.12.1 to 2.3.0.

Release notes

Sourced from ray's releases.

Ray-2.3.0

Release Highlights

• The streaming backend for Ray Datasets is in Developer Preview. It is designed to enable terabyte-scale ML inference and training workloads. Please contact us if you'd like to try it out on your workload, or you can find the preview guide here: https://docs.google.com/document/d/1BXd1cGexDnqHAIVoxTnV3BV0sklO9UXqPwSdHukExhY/edit
• New Information Architecture (beta): We’ve restructured the Ray dashboard to be organized around user personas and workflows instead of entities.
• Ray-on-Spark is now alpha: You can launch Ray clusters on Databricks and Spark clusters and run Ray applications. Check out the documentation to learn more.

Ray Libraries

Ray AIR

💫Enhancements:

• Add set_preprocessor method to Checkpoint (#31721)
• Rename Keras callback and its parameters to be more descriptive (#31627)
• Deprecate MlflowTrainableMixin in favor of setup_mlflow() function (#31295)
• W&B
  • Have train_loop_config logged as a config (#31901)
  • Allow users to exclude config values with WandbLoggerCallback (#31624)
  • Rename WandB save_checkpoints to upload_checkpoints (#31582)
  • Add hook to get project/group for W&B integration (#31035, 31643)
  • Use Ray actors instead of multiprocessing for WandbLoggerCallback (#30847)
  • Update WandbLoggerCallback example (#31625)
• Predictor
  • Place predictor kwargs in object store (#30932)
  • Delegate BatchPredictor stage fusion to Datasets (#31585)
  • Rename DLPredictor.call_model tensor parameter to inputs (#30574)
  • Add use_gpu to HuggingFacePredictor (#30945)
• Checkpoints
  • Various Checkpoint improvements (#30948)
  • Implement lazy checkpointing for same-node case (#29824)
  • Automatically strip "module." from state dict (#30705)
  • Allow user to pass model to TensorflowCheckpoint.get_model (#31203)

🔨 Fixes:

• Fix and improve support for HDFS remote storage. (#31940)
• Use specified Preprocessor configs when using stream API. (#31725)
• Support nested Chain in BatchPredictor (#31407)

📖Documentation:

... (truncated)

Commits

• 3aa6ede [Build] Building py37+cu118 and using cu116 in default ray-ml image (#32636) ...
• e2c528f Cherry-picking two doc changes (#32602)
• af4fb35 [docs] setting up grafana and prometheus (#32606)
• 2a4f2eb [docs/rllib] Add gymnasium to doc mocks (#32584) (#32615)
• 095de26 [CherryPick][Core][Doc] #32236 #32520 #32551 #32570 (#32536)
• 713e11c [CI/Docker] Upgrade xgboost-ray to latest release (#32514)
• fa0e4fd [Doc] Improve the dashboard visibility (#32525) (#32563)
• 5fd332f [2.3.0][AIR][Train][Doc] Restructure API reference (#32535)
• ccfd8c6 [2.3.0][Tune] Fix docstring failures (#32505)
• 41a83c2 [Docs] Update AIR examples to move tensors to correct device (#32495)
• Additional commits viewable in compare view

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