U *-e@sddlmZmZddlmZddlmZdgZeedddZeeddd Z eedd d Z eedd d Z ddddZ eedddZ dS))RendezvousHandlerRendezvousParameters)rendezvous_handler_registry)create_handlerget_rendezvous_handler)paramsreturncCsddlm}||S)Nr)static_tcp_rendezvous)r create_rdzv_handler)rr r n/var/www/html/Darija-Ai-Train/env/lib/python3.8/site-packages/torch/distributed/elastic/rendezvous/registry.py_create_static_handler s rcCsddlm}||S)Nr)etcd_rendezvous)r rr )rrr r r _create_etcd_handlers rcCs$ddlm}||\}}t|||SNr)create_backend)Zetcd_rendezvous_backendrrrrbackendstorer r r _create_etcd_v2_handlers  rcCs$ddlm}||\}}t|||Sr)Zc10d_rendezvous_backendrrrr r r _create_c10d_handler!s  rN)rcCs4tdttdttdttdtdS)NZetcdzetcd-v2Zc10dZstatic)handler_registryregisterrrrrr r r r _register_default_handlers)s   rcCs t|S)aL This method is used to obtain a reference to a :py:class`RendezvousHandler`. Custom rendezvous handlers can be registered by :: from torch.distributed.elastid.rendezvous import rendezvous_handler_registry from torch.distributed.elastic.rendezvous.registry import get_rendezvous_handler def create_my_rdzv(params: RendezvousParameters): return MyCustomRdzv(params) rendezvous_handler_registry.register("my_rdzv_backend_name", create_my_rdzv) my_rdzv_handler = get_rendezvous_handler("my_rdzv_backend_name", RendezvousParameters) )rr)rr r r r0s)apirrrrZdynamic_rendezvousr__all__rrrrrrr r r r s