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Site Navigation

  • Get Started

  • Use Cases

  • Example Gallery

  • Library

    • Ray CoreScale general Python applications

    • Ray DataScale data ingest and preprocessing

    • Ray TrainScale machine learning training

    • Ray TuneScale hyperparameter tuning

    • Ray ServeScale model serving

    • Ray RLlibScale reinforcement learning

  • APIs

  • Resources

    • Discussion ForumGet your Ray questions answered

    • TrainingHands-on learning

    • BlogUpdates, best practices, user-stories

    • EventsWebinars, meetups, office hours

    • Success StoriesReal-world workload examples

    • EcosystemLibraries integrated with Ray

    • CommunityConnect with us

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  • SyncConfig

SyncConfig#

class ray.train.SyncConfig(sync_period: int = 300, sync_timeout: int = 1800, sync_artifacts: bool = False, sync_artifacts_on_checkpoint: bool = True)#

Bases: object

Warning

DEPRECATED: This API is deprecated and may be removed in future Ray releases.

Methods

Attributes

sync_artifacts

sync_artifacts_on_checkpoint

sync_period

sync_timeout

On this page
  • SyncConfig
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