o h* @slddlZddlZddlmZmZddlmZmZmZm Z ddl m m m mZddlmZmZddlmZddlmZddlmZmZmZddlmZdd lmZdd lm Z dd l!m"Z"gd Z#e"e$Z%eGd ddZ&GdddZ'de ee(dfde)ede(fddZ*dede+ee(ee,ffddZ-de&de ee(dfde)ede.e,effddZ/dS)N) dataclassfield)AnyCallableOptionalUnion)eventsmetrics) WorkerSpec)LocalElasticAgent)DefaultLogsSpecs LogsSpecsSignalException)ChildFailedError)RendezvousParameters)parse_rendezvous_endpoint) get_logger) LaunchConfigelastic_launch launch_agentc@seZdZUdZeed<eed<eed<dZeeed<dZ e ed<d Z e ed <dZ e ed <d Z e ed <eedZee efed<dZeed<dZeed<dZeed<dZe ed<dZee ed<eedZee e fed<dZee ed<ddZdS)raP Creates a rendezvous config. Args: min_nodes: Minimum amount of nodes that the user function will be launched on. Elastic agent ensures that the user function start only when the min_nodes amount enters the rendezvous. max_nodes: Maximum amount of nodes that the user function will be launched on. nproc_per_node: On each node the elastic agent will launch this amount of workers that will execute user defined function. rdzv_backend: rdzv_backend to use in the rendezvous (zeus-adapter, etcd). rdzv_endpoint: The endpoint of the rdzv sync. storage. rdzv_configs: Key, value pair that specifies rendezvous specific configuration. rdzv_timeout: Legacy argument that specifies timeout for the rendezvous. It is going to be removed in future versions, see the note below. The default timeout is 900 seconds. run_id: The unique run id of the job (if not passed a unique one will be deduced from run environment - flow workflow id in flow - or auto generated). role: User defined role of the worker (defaults to "trainer"). max_restarts: The maximum amount of restarts that elastic agent will conduct on workers before failure. monitor_interval: The interval in seconds that is used by the elastic_agent as a period of monitoring workers. start_method: The method is used by the elastic agent to start the workers (spawn, fork, forkserver). metrics_cfg: configuration to initialize metrics. local_addr: address of the local node if any. If not set, a lookup on the local machine's FQDN will be performed. local_ranks_filter: ranks for which to show logs in console. If not set, show from all. .. note:: `rdzv_timeout` is a legacy argument that will be removed in future. Set the timeout via `rdzv_configs['timeout']` min_nodes max_nodesnproc_per_nodeN logs_specsrun_id default_rolerole rdzv_endpointetcd rdzv_backend)default_factory rdzv_configs rdzv_timeout max_restartsg?monitor_intervalspawn start_methodlog_line_prefix_template metrics_cfg local_addrcCsJd}|jdkr|j|jd<n d|jvr||jd<|jdur#t|_dSdS)Nir#timeout)r$r"rr )selfdefault_timeoutr0r/var/www/html/construction_image-detection-poc/venv/lib/python3.10/site-packages/torch/distributed/launcher/api.py __post_init__[s     zLaunchConfig.__post_init__)__name__ __module__ __qualname____doc__int__annotations__rrr rstrrrr rdictr"rr$r&r'floatr)r*r+r,r2r0r0r0r1r"s& &         rc@s4eZdZdZdedeeedffddZddZ dS) ra Launches an torchelastic agent on the container that invoked the entrypoint. 1. Pass the ``entrypoint`` arguments as non ``kwargs`` (e.g. no named parameters)/ ``entrypoint`` can be a function or a command. 2. The return value is a map of each worker's output mapped by their respective global rank. Usage :: def worker_fn(foo): # ... def main(): # entrypoint is a function. outputs = elastic_launch(LaunchConfig, worker_fn)(foo) # return rank 0's output return outputs[0] # entrypoint is a command and ``script.py`` is the python module. outputs = elastic_launch(LaunchConfig, "script.py")(args) outputs = elastic_launch(LaunchConfig, "python")("script.py") config entrypointNcCs||_||_dSN)_config _entrypoint)r.r<r=r0r0r1__init__s zelastic_launch.__init__cGst|j|jt|Sr>)rr?r@list)r.argsr0r0r1__call__szelastic_launch.__call__) r3r4r5r6rrrr9rArDr0r0r0r1rgs  rr=rCreturncCs@t|tr|jSt|tr|tjkrtdd|DdS|SdS)aRetrieve entrypoint name with the rule: 1. If entrypoint is a function, use ``entrypoint.__qualname__``. 2. If entrypoint is a string, check its value: 2.1 if entrypoint equals to ``sys.executable`` (like "python"), use the first element from ``args`` which does not start with hifen letter (for example, "-u" will be skipped). 2.2 otherwise, use ``entrypoint`` value. 3. Otherwise, return empty string. css |] }|ddkr|VqdS)r-Nr0).0argr0r0r1 sz'_get_entrypoint_name..r) isinstancerr3r9sys executablenext)r=rCr0r0r1_get_entrypoint_names   rNrdzv_parameterscCsX|jdkrdS|j}|}|stdt|dd\}}|dkr(td|d||fS)Nstatic)NNzKEndpoint is missing in endpoint. Try to add --master-addr and --master-portr#) default_portzport is missing in endpoint: z. Try to specify --master-port)backendendpointstrip ValueErrorr)rOrS master_addr master_portr0r0r1_get_addr_and_ports  rXr<c Cs|jsttj}td|||_t||}td||j |j |j |j|j |j |j|j|j|jj|jd td |j |j |j|j |j |jd|j}t|\}}t|j|j |t|t||j|j|||jd }t||j|j|jd} d} zSz,t t!|j| "} t#$| %| &rt'|| j(d| j)WW| r|j*+SSt'yt,yd } t#$| -t.yt#$| -w| r|j*+ww) Nz3config has no run_id, generated a random run_id: %saStarting elastic_operator with launch configs: entrypoint : %(entrypoint)s min_nodes : %(min_nodes)s max_nodes : %(max_nodes)s nproc_per_node : %(nproc_per_node)s run_id : %(run_id)s rdzv_backend : %(rdzv_backend)s rdzv_endpoint : %(rdzv_endpoint)s rdzv_configs : %(rdzv_configs)s max_restarts : %(max_restarts)s monitor_interval : %(monitor_interval)s log_dir : %(log_dir)s metrics_cfg : %(metrics_cfg)s ) r=rrrrr rr"r&r'log_dirr+)rRrSrrrr,) rlocal_world_sizer=rC rdzv_handlerr&r'rVrWr,)specrr)r*T)namefailuresFr0)/rr9uuiduuid4r7loggerwarningrNinforrrr rr"r&r'r root_log_dirr+rr,rXr rtuple rdzv_registryget_rendezvous_handlerr r)r*r initialize_metrics MetricsConfigrunrrecordget_event_succeeded is_failedrr^ return_valuesr[shutdownrget_event_failed Exception) r<r=rCrentrypoint_namerOrVrWr\agent shutdown_rdzvresultr0r0r1rs         r)0rKr_ dataclassesrrtypingrrrr-torch.distributed.elastic.rendezvous.registry distributedelastic rendezvousregistryrftorch.distributed.elasticrr *torch.distributed.elastic.agent.server.apir :torch.distributed.elastic.agent.server.local_elastic_agentr )torch.distributed.elastic.multiprocessingr r r0torch.distributed.elastic.multiprocessing.errorsr$torch.distributed.elastic.rendezvousr*torch.distributed.elastic.rendezvous.utilsr'torch.distributed.elastic.utils.loggingr__all__r3rarrr9rBrNrer7rXr:rr0r0r0r1sN      D'