g^(h' LddlZddlZddlmZddlmZmZmZddlZddl m Z ddl m Z ddlmZmZddlmZddlmZmZddlmZmZmZmZmZdd lmZmZmZdd l m!Z!dd l"m#Z#dd l$m%Z%dd l&m'Z'ddl(m)Z)gdZ*Gdde'Z+GddeZ,dee-ej\fdee-ej\ffdZ/dee-ej\fdee-ej\ffdZ0e1dk(rGddeZ2ejfZ4e4jkde-de2Dcgc]}|jlc}e2jne4jkde-d e4jkd!e-d" e4jqZ9e:d#e9jvd$e9jxd%e9jzd&d'e9jvd(Z>e9jze2jnjlk(rLej~je9jvre0e9jve9jxye:e>ye9jze2jjlk(rLej~je9jvre/e9jve9jxye:e>yeCd)e9jzycc}w)*N)Enum)castOptionalUnion)narrow_tensor_by_index)FileSystemReaderFileSystemWriter)flatten_state_dict)_EmptyStateDictLoadPlannerDefaultLoadPlanner)MetadataSTATE_DICT_TYPE STORAGE_TYPESTensorPropertiesTensorStorageMetadata) LoadItemTypeLoadPlan LoadPlanner)_create_chunk_list)_load_state_dict)_save_state_dict) StorageReader)Future)dcp_to_torch_savetorch_save_to_dcpBroadcastingTorchSaveReaderDynamicMetaLoadPlannerceZdZdZ ddeeeejfde ddfdZ de fdZ de d ededfd Zd e d eddfd Zde de fdZdee dee fdZddeeejdfddfdZedeeejfdefdZy)raI StorageReader for reading a Torch Save file. This reader will read the entire checkpoint on the coordinator rank, and then broadcast and shard each tensor to all ranks. . N.B. Intended to be used with DynamicMetaLoadPlanner .. warning:: Current implementation only supports loading Tensors. >>> # xdoctest: +SKIP("undefined vars") >>> sd = {"mode": model} >>> dcp.load( >>> sd, >>> storage_reader=BroadcastingTorchSaveReader(), >>> planner=DynamicMetaLoadPlanner(), >>> checkpoint_id="path_to_model.pt" >>> ) N checkpoint_idcoordinator_rankreturnc ||_||_yN)rr )selfrr s g/var/www/skyplay_api_hub/venv/lib/python3.12/site-packages/torch/distributed/checkpoint/format_utils.py__init__z$BroadcastingTorchSaveReader.__init__;s + 0ctiS)zGExtends the default StorageReader to support building the metadata filestate_dict_metadata)r )r$s r% read_metadataz)BroadcastingTorchSaveReader.read_metadataCsB//r'planplannerc tt|}|jrK|jJt j |jdd}|j rt |\}}nd}|jD]}|jtjk(r9td|jjdt|jd|jrGtj j#}||jjj%|}n6t j&|j(|jj}tj*||j,dt/||j0|j2}|j5|j7}|j9|j9k(s6Jd |jd |j9d |j9|j;||j=||t?} | jAd| S) z Reads torch save data on the coordinator rank, and broadcast afterwards this incurrs a communication cost, but avoids having to load the entire checkpoint on each rank, hopefully preventing OOM issues NcpuF) map_location weights_onlyNon-tensor value identified at . At this time  only supports loading Tensors.)srcasync_opzreq z mismatch sizes, z vs )!rr is_coordinatorrtorchloadr itemstyperBYTE_IO RuntimeError storage_indexfqn__name__distdistributed_c10d_get_pg_default_deviceto empty_like state_dict broadcastr rstorage_offsetslengthsresolve_tensordetachsizecopy_ commit_tensorr set_result) r$r,r-torch_state_dict_req pg_devicetensor target_tensorfuts r% read_dataz%BroadcastingTorchSaveReader.read_dataIs )73   %%1 11$zz""U  ))&89I&J# !# :: 6Cxx<///"5c6G6G6K6K5LM$$(J$7$7#88WY "" 11HHJ )#*;*;*?*?@CCIN))'*<*>@M %%'6;;=8 s(()): %%'(V[[]O= 8    '  ! !#} 5/ 62h t r'metadatar7c||_|jr#tj|jk(sJ|jJy*Implementation of the StorageReader methodN)r7rAget_rankr r)r$rXr7s r%set_up_storage_readerz1BroadcastingTorchSaveReader.set_up_storage_reader|s?,   ==?d&;&;; ;;!!---r'c|Sr[)r$r,s r%prepare_local_planz.BroadcastingTorchSaveReader.prepare_local_plans r' global_planc|Sr_r`)r$rbs r%prepare_global_planz/BroadcastingTorchSaveReader.prepare_global_plansr'c||_yrZ)r)r$rs r%resetz!BroadcastingTorchSaveReader.resets *r'c@tjj|Sr_)ospathisfile)clsrs r%validate_checkpoint_idz2BroadcastingTorchSaveReader.validate_checkpoint_idsww~~m,,r')Nrr#)r@ __module__ __qualname____doc__rrstrrhPathLikeintr&r r+rrrrWboolr]ralistrdrf classmethodrlr`r'r%rr's *<@ !1c2;;&6 7811  10x0 1h111f.h..QU.xHtH~$x.+5bkk4)?#@+D+-5bkk9I3J-t--r'rc @eZdZdZ ddedeededdffd ZxZ S) ra Extension of DefaultLoadPlanner, which creates a new Metadata object based on the passed in state dict, avoiding the need to read metadata from disk. 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Intended to be used with BroadcastingTorchSaveReader .. warning:: Current implementation only supports loading Tensors. >>> # xdoctest: +SKIP("undefined vars") >>> sd = {"mode": model} >>> dcp.load( >>> sd, >>> storage_reader=BroadcastingTorchSaveReader(), >>> planner=DynamicMetaLoadPlanner(), >>> checkpoint_id="path_to_model.pt" >>> ) NrFrXr7r!c |t||||i}|jjD]z\}}t j |s%t d|dt|jdtt|j|jt|||<|t||_y)zdSetups of the planner, extnding default behavior by creating the Metadata object from the state dictr2r3r4)dtyper)N)superset_up_plannerrFr:r8 is_tensorr=r;r@rrrxrLrr rX)r$rFrXr7r*keyrT __class__s r%rzz%DynamicMetaLoadPlanner.set_up_planners z8^D8:??002 KC??6*"5cU;$$(J$7$7#88WY (= v||4 "6*(  $ !5HI r')NF) r@rmrnrorrr rsrz __classcell__)r}s@r%rrsK.(,$ J#J8$J J  JJr'rdcp_checkpoint_dirtorch_save_pathcti}t|t|tdtj||y)aq Given a directory containing a DCP checkpoint, this function will convert it into a Torch save file. Args: dcp_checkpoint_dir: Directory containing the DCP checkpoint. torch_save_path: Filename to store the converted Torch save file. .. warning:: To avoid OOM, it's recommended to only run this function on a single rank. T)storage_readerr-no_distN)rrr r8save)rrsds r%rrs6B '(:;*,   JJr?#r'c`tj|d}t|t|dy)aB Given the location of a torch save file, converts it into a DCP checkpoint. Args: torch_save_path: Filename of the Torch save file. dcp_checkpoint_dir: Directory to store the DCP checkpoint. .. warning:: To avoid OOM, it's recommended to only run this function on a single rank. F)r1T)storage_writerrN)r8r9rr )rrrFs r%rrs-O%@J#34F#GQUr'__main__ceZdZdZdZy) FormatMode torch_to_dcp dcp_to_torchN)r@rmrn TORCH_TO_DCP DCP_TO_TORCHr`r'r%rrs % % r'rmodezConversion mode)r;helpchoicesdefaultr5zPath to the source model)r;rdstzPath to the destination modelzConverting checkpoint from z to z using method: ''zNo checkpoint found at z. Skipping conversion.zUnknown conversion mode: )Dargparserhenumrtypingrrrr8torch.distributed distributedrAtorch.distributed._shard._utilsrtorch.distributed.checkpointrr )torch.distributed.checkpoint._nested_dictr ,torch.distributed.checkpoint.default_plannerr r %torch.distributed.checkpoint.metadatar rrrr$torch.distributed.checkpoint.plannerrrr,torch.distributed.checkpoint.planner_helpersr.torch.distributed.checkpoint.state_dict_loaderr-torch.distributed.checkpoint.state_dict_saverr$torch.distributed.checkpoint.storager torch.futuresr__all__rrrprqrrr@rArgumentParserparser add_argumentvaluer parse_argsargsprintr5rrcheckpoint_missing_warningrirjrisdir ValueError)ms0r%rse (( BKHUTKKJ>  l--l-^+J/+J\$c2;;./$3 +,$23 +,c2;;./. z&T& %X $ $ &F   ",-Q-''  C.HI C.MN    D %dhhZtDHH:=Mdii[XYZ "$((+AB yyJ++111 77>>$(( # dhh 1 , - j--33 3 77== " dhh 1 , -4TYYK@AAI.sJ!