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daita-technologies / ai-tools

AI-based tools for the DAITA platform.
http://app.daita.tech
GNU Affero General Public License v3.0
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Bump ray[serve] from 2.0.0 to 2.3.0 #127

Open dependabot[bot] opened 1 year ago

dependabot[bot] commented 1 year ago

Bumps ray[serve] from 2.0.0 to 2.3.0.

Release notes

Sourced from ray[serve]'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)

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