§ &`ƒiáãóä—ddlZddlmZddlmZddlmZddlmZddl m Z ddl m Z ed¦«Z eje¦«Ze Gd „d ¦«¦«Ze Gd „d e¬ ¦«¦«ZdS)éN©Ú nullcontext)ÚTypeVar)ÚBaseWorkerGroup)Ú Singleton)Ú DeveloperAPI)Úmake_table_html_reprÚ EncodedDatacóJ—eZdZdZed„¦«Zed„¦«Zdefd„ZdS)Ú BackendConfigz4Parent class for configurations of training backend.có—tS©N)ÚBackend©Úselfs úe/home/jaya/work/projects/VOICE-AGENT/VIET/agent-env/lib/python3.11/site-packages/ray/train/backend.pyÚ backend_clszBackendConfig.backend_clss€åˆócó—tSrrrs rÚtrain_func_contextz BackendConfig.train_func_contexts€åÐrÚreturncóH—t|t|¦«j¬¦«S)N)ÚobjÚtitle)r ÚtypeÚ__name__rs rÚ _repr_html_zBackendConfig._repr_html_s€Ý#¨µD¸±J´JÔ4GÐHÑHÔHÐHrN) rÚ __module__Ú __qualname__Ú__doc__ÚpropertyrrÚstrr©rrr r sp€€€€€à>Ð>à ððñ„Xððððñ„XððI˜SðIðIðIðIðIðIrr cóR—eZdZUdZdZeed<dedefd„Z dedefd„Z dedefd„Z d S) raSingleton for distributed communication backend. Attributes: share_cuda_visible_devices: If True, each worker process will have CUDA_VISIBLE_DEVICES set as the visible device IDs of all workers on the same node for this training instance. If False, each worker will have CUDA_VISIBLE_DEVICES set to the device IDs allocated by Ray for that worker. FÚshare_cuda_visible_devicesÚ worker_groupÚbackend_configcó—dS)z Logic for starting this backend.Nr#©rr&r's rÚon_startzBackend.on_start-ó€à ˆrcó—dS)z$Logic for shutting down the backend.Nr#r)s rÚ on_shutdownzBackend.on_shutdown1r+rcó—dS)z\Logic ran right before training is started. Session API is available at this point.Nr#r)s rÚon_training_startzBackend.on_training_start5s €ð ˆrN) rrrr r%ÚboolÚ__annotations__rr r*r-r/r#rrrrs›€€€€€€ððð(-РÐ,Ð,Ñ,ð  _ð Àmð ð ð ð ð ¨ð Èð ð ð ð ð Ø+ð Ø=Jð ð ð ð ð ð rr)Ú metaclass)ÚloggingÚ contextlibrÚtypingrÚ%ray.train._internal.base_worker_grouprÚray.train._internal.utilsrÚray.util.annotationsrÚ ray.widgetsr r Ú getLoggerrÚloggerr rr#rrúr<sðØ€€€Ø"Ð"Ð"Ð"Ð"Ð"ØÐÐÐÐÐàAÐAÐAÐAÐAÐAØ/Ð/Ð/Ð/Ð/Ð/Ø-Ð-Ð-Ð-Ð-Ð-Ø,Ð,Ð,Ð,Ð,Ð,àˆgmÑ$Ô$€ à ˆÔ ˜8Ñ $Ô $€ðð Ið Ið Ið Ið Iñ Iô Iñ„ð Iðð ð ð ð ð ˜ ð ñ ô ñ„ð ð ð r