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Ray 2.7.2
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Ray
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入门
关键概念
用户指南
Ray Tune 示例
Ray Tune 问答
Ray Tune API
Tune Execution (tune.Tuner)
Tune Experiment Results (tune.ResultGrid)
Training in Tune (tune.Trainable, session.report)
ray.tune.Trainable
ray.tune.Trainable.setup
ray.tune.Trainable.save_checkpoint
ray.tune.Trainable.load_checkpoint
ray.tune.Trainable.step
ray.tune.Trainable.reset_config
ray.tune.Trainable.cleanup
ray.tune.Trainable.default_resource_request
ray.tune.with_parameters
ray.tune.with_resources
ray.tune.execution.placement_groups.PlacementGroupFactory
ray.tune.utils.wait_for_gpu
ray.tune.utils.diagnose_serialization
ray.tune.utils.validate_save_restore
Tune Search Space API
Tune Search Algorithms (tune.search)
Tune Trial Schedulers (tune.schedulers)
Tune Stopping Mechanisms (tune.stopper)
Tune Console Output (Reporters)
Syncing in Tune (train.SyncConfig)
Tune Loggers (tune.logger)
Tune Callbacks (tune.Callback)
Environment variables used by Ray Tune
Tune Scikit-Learn API (tune.sklearn)
External library integrations for Ray Tune
Tune Internals
Tune Client API
Tune CLI (Experimental)
Ray Serve
Ray RLlib
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ray.tune.Trainable.save_to_object
ray.tune.Trainable.save_to_object
#
Trainable.
save_to_object
(
)
[source]
#
Warning
DEPRECATED
: This API is deprecated and may be removed in future Ray releases.