&`inddlZddlmZddlmZddlmZmZmZddl m Z ddl m Z ddl mZddlmZmZdd lmZmZeed Gd d ZeeGddZdS)N) dataclass)Enum)CallableOptionalUnion)_DEPRECATED_VALUE)Trial)TrialScheduler)SearchAlgorithmSearcher) DeveloperAPI PublicAPIbeta) stabilityc^eZdZUdZdZeeed<dZeeed<dZ ee e e fed<dZ eeed<dZeed<dZeeed <dZee eeejfed <d Zeed <dZeeegefed <dZeeegefed<eZeed<dS) TuneConfiga Tune specific configs. Args: metric: Metric to optimize. This metric should be reported with `tune.report()`. If set, will be passed to the search algorithm and scheduler. mode: Must be one of [min, max]. Determines whether objective is minimizing or maximizing the metric attribute. If set, will be passed to the search algorithm and scheduler. search_alg: Search algorithm for optimization. Default to random search. scheduler: Scheduler for executing the experiment. Choose among FIFO (default), MedianStopping, AsyncHyperBand, HyperBand and PopulationBasedTraining. Refer to ray.tune.schedulers for more options. num_samples: Number of times to sample from the hyperparameter space. Defaults to 1. If `grid_search` is provided as an argument, the grid will be repeated `num_samples` of times. If this is -1, (virtually) infinite samples are generated until a stopping condition is met. max_concurrent_trials: Maximum number of trials to run concurrently. Must be non-negative. If None or 0, no limit will be applied. This is achieved by wrapping the ``search_alg`` in a :class:`ConcurrencyLimiter`, and thus setting this argument will raise an exception if the ``search_alg`` is already a :class:`ConcurrencyLimiter`. Defaults to None. time_budget_s: Global time budget in seconds after which all trials are stopped. Can also be a ``datetime.timedelta`` object. reuse_actors: Whether to reuse actors between different trials when possible. This can drastically speed up experiments that start and stop actors often (e.g., PBT in time-multiplexing mode). This requires trials to have the same resource requirements. Defaults to ``False``. trial_name_creator: Optional function that takes in a Trial and returns its name (i.e. its string representation). Be sure to include some unique identifier (such as `Trial.trial_id`) in each trial's name. NOTE: This API is in alpha and subject to change. trial_dirname_creator: Optional function that takes in a trial and generates its trial directory name as a string. Be sure to include some unique identifier (such as `Trial.trial_id`) is used in each trial's directory name. Otherwise, trials could overwrite artifacts and checkpoints of other trials. The return value cannot be a path. NOTE: This API is in alpha and subject to change. chdir_to_trial_dir: Deprecated. Set the `RAY_CHDIR_TO_TRIAL_DIR` env var instead Nmodemetric search_alg scheduler num_samplesmax_concurrent_trials time_budget_sF reuse_actorstrial_name_creatortrial_dirname_creatorchdir_to_trial_dir)__name__ __module__ __qualname____doc__rrstr__annotations__rrrr r rr rintrrfloatdatetime timedeltarboolrrr rrrh/home/jaya/work/projects/VOICE-AGENT/VIET/agent-env/lib/python3.11/site-packages/ray/tune/tune_config.pyrr s'--dD(3- FHSM   =AJx89:AAA*.Ix'...K+/8C=///EIM8E#uh.@"@ABIIIL$;?5'3,!78???>B8HeWc\$:;BBB000000r+rcxeZdZUdZGddeZejZee d<ej Z ee d<ejZ ee d<dS) ResumeConfigzH[Experimental] This config is used to specify how to resume Tune trials.ceZdZdZdZdZdZdS)ResumeConfig.ResumeTypea%An enumeration to define resume types for various trial states. Members: RESUME: Resume from the latest checkpoint. RESTART: Restart from the beginning (with no checkpoint). SKIP: Skip this trial when resuming by treating it as terminated. resumerestartskipN)rr r!r"RESUMERESTARTSKIPr*r+r, ResumeTyper0Ts)  r+r7finished unfinishederroredN) rr r!r"rr7r6r8r#r$r4r9r:r*r+r,r.r.Os~SR     T   OHc### 'J'''?GS"""""r+r.)r' dataclassesrenumrtypingrrrray.train.constantsrray.tune.experiment.trialr ray.tune.schedulersr ray.tune.searchr r ray.util.annotationsr rrr.r*r+r,rCsK!!!!!!,,,,,,,,,,111111++++++......5555555588888888  V=1=1=1=1=1=1=1 =1@ ####### ###r+