&`is nddlmZmZddlmZddlmZmZddl m Z m Z ddl m Z mZddlmZe eGddeZed ed d d edeedd fdZed edeefdZdefdZd S))DictOptional) Checkpoint)_warn_session_misuse get_session)V2_MIGRATION_GUIDE_MESSAGE_v2_migration_warnings_enabled) _copy_doc_log_deprecation_warning) PublicAPIceZdZdS)rN)__name__ __module__ __qualname__y/home/jaya/work/projects/VOICE-AGENT/VIET/agent-env/lib/python3.11/site-packages/ray/tune/trainable/trainable_fn_utils.pyrr s Drrstable) stabilityN checkpointmetricsrreturnc|r:t|ts%trtdtt ||dS)a`Report metrics and optionally save and register a checkpoint to Ray Tune. If a checkpoint is provided, it will be :ref:`persisted to storage `. .. note:: Each invocation of this method will automatically increment the underlying ``training_iteration`` number. The physical meaning of this "iteration" is defined by user depending on how often they call ``report``. It does not necessarily map to one epoch. Args: metrics: The metrics you want to report. checkpoint: The optional checkpoint you want to report. zThe `Checkpoint` class should be imported from `ray.tune` when passing it to `ray.tune.report` in a Tune function. Please update your imports. rN) isinstancerr r rrreport)rrs rrrsv&*Z<< ) + +  $0.00   MMZ88888rc(tjS)zCAccess the latest reported checkpoint to resume from if one exists.)rloaded_checkpointrrrget_checkpointr3s == **rcHtotjduS)N)r world_rankrrr_in_tune_sessionr";s == =[]]5==r)typingrrray.train._checkpointrTrainCheckpointray.train._internal.sessionrrray.train.constantsrr ray.train.utilsr r ray.util.annotationsr rrboolr"rrrr+s!!!!!!!!??????IIIIIIII@???????****** ?         X@D999D9*)=99999: X+,++++ >$>>>>>>r