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B M4ww**499mDH&&x6, B&*BC"//0A0ABG!%!1!1&'!BJ%)__%J%J 55;" &Nxx<#7#77%'ZZ0C0CB0G%H "***3 ;)224'5H(*zz.2E2Eb2I'JH$MM!,!%"!JJ (-2-1""8"C$7$7")0(>(>s(C(J(J(L (--/6;;=@"0"&s'8'8&99I-J\J\J^I__cdjdododqcr s#&++F3--c=AU*B, B, B. B`h t a, B, Bs 3G1K  K r[c|tn d|t}tt|jj |j |Srrrs rDrfz#FileSystemReader._get_metadata_pathrrNrUrVcD|jd}|j|}|jj|d5}t j |}dddt ddt|_|j|j_ |S#1swYBxYw)Nr[rr) rcrfrYrrrrr!rr)rArUrVr[rrrs rD read_metadatazFileSystemReader.read_metadataszz&!&&t, WW " "4 . 2-{{=1H 2 8^T 2 :$/MH !(, % 2 2s BBrrac|j|_|jd|_|jdd|_|j t dy)Nr[r\Tz)storage_data must not be None in metadata)rrcr[r\r)rArrarUrVs rDset_up_storage_readerz&FileSystemReader.set_up_storage_readersS%11JJv& %zz*;TB    $ !LM M %rNc|Sr>rMrts rDruz#FileSystemReader.prepare_local_plans rNrvc|Sr>rM)rArvs rDryz$FileSystemReader.prepare_global_plans rNc|jS)zT return the checkpoint_id that will be used to load the checkpoint. rres rDr.zFileSystemReader.checkpoint_idrrNc,tj|Sr>rr0s rDr2z'FileSystemReader.validate_checkpoint_idrrNr>) rFrGrHrJr r7rrqr8rrrr`r#r$r/rrLrfrrrrrrurryrr.r8r2rrs@rDr1r1Es}9= $BKK $/5 $  $T|T5 T(3#4t#;(t( :h:::xDsTzDR[[D 3 # ( N N26N?BNNQN NxHhDNsR[[0 @33D@@@rNr1ceZdZdZdddddddej fdeejzde d e d e d e d e d e de e dzdeddfdZ dedeffd ZxZS)r0a Basic implementation of StorageWriter using file IO. This implementation makes the following assumptions and simplifications: * The checkpoint path is an empty or non-existing directory. * File creation is atomic The checkpoint consist of one file per write request plus a global `.metadata` file with the serialized metadata if rank coordination is enabled. a rank local `__{rank}.metadata` file with the serialized metadata if rank coordination is NOT enabled. TrrOFNrrPrQrrRcache_staged_state_dictrSrTrrWc ntj|||||||||  tj||y)a Initialize the writer pointing to `path`. Args: path: directory where the checkpoint will be written to. single_file_per_rank: Produce one file per rank instead of one file per tensor/blob. Default to True. sync_files : force files to be synced to permanent storage. Default to True. thread_count: Number of IO threads to use to write. Default to 1. per_thread_copy_ahead: How many bytes to copy from the GPU ahead of saving then. Default 10Mb. cache_staged_state_dict: Whether to cache the staged state_dict. This option decreases staging latency at the cost of increases memory usage. Additionally, if this parameter is set to True, it's the expectation that the stager is maintained and reused for multiple dcp.async_save calls. Default to False. overwrite: Whether to allow overwriting existing checkpoints. Defaults to True. _extensions: Extensions to apply to output streams (EXPERIMENTAL) N. B. If sync_files is disabled, there's no guarantee that the checkpoint will be consistent in the case of a failure. )rrPrQrrRrSrTr)rN)rNrqr*) rArrPrQrrRrrSrTrs rDrqzFileSystemWriter.__init__sH: "" !5!%"7#!5 #  $$ $; rN state_dictc0d|_t| |S)zOverride of AsyncStager.stager)rRrXstage)rArr]s rDrzFileSystemWriter.stages&'"w}Z((rN)rFrGrHrIr4rUrJr r7rrLr rrqr rrrs@rDr0r0s "&*%/(-AE4G4R4R+ BKK+ #+  +  + # + "&+ + 67$>+ 2+  + Z))O))rNr0)hrrrrr rr rrrrYrpabcrrcollections.abcrrrrr contextlibr r enumr r pathlibrtypingrrrrtyping_extensionsrrlr torch._utilsrrtorch.distributed._shard._utilsr'torch.distributed.checkpoint._extensionrr&torch.distributed.checkpoint._hf_utilsrrrrr%torch.distributed.checkpoint.metadatarr r!$torch.distributed.checkpoint.plannerr"r#r$r%r&r'r(r)$torch.distributed.checkpoint.stagingr*$torch.distributed.checkpoint.storager+r,r-"torch.distributed.checkpoint.utilsr. torch.futuresr/__all__r5rJrKr6r8rPr4r|r[r]rnrrrLrrrrrrrrrr3r2rNrr1r0rMrNrDrs   #MM%!#''% GBYX   E A   c")U3Z)  I I  I   $   C  }0X"MX"v0Y0Yf 4Y 43 4#d9o$tIBW04(4 II4 **u|| #4 4  4 . 44ng g  g ++g  g ) g  g g g .g  g T