tjn UddlZddlZddlZddlZddlZddlmZmZddlm Z ddl m Z m Z ddl Z ddlmZddlmZddlmZmZddlmZdd lmZdd lmZmZmZmZmZmZm Z m!Z!dd l"m#Z#m$Z$m%Z%m&Z&m'Z'm(Z(m)Z)dd l*m+Z+m,Z,m-Z-m.Z.m/Z/m0Z0m1Z1dd l2m3Z3ddl4m5Z5ddl6m7Z7ej8e9Z:ej;eGdde$Z?Gdde?Z@ d.deAeBe fdedeCde#fdZDdeEe#deEe#fd ZFdeAeBe fd!eCde&fd"ZG d.deEe&d#eCdeHeEe&effd$ZIdedefd%ZJd&ed'edeCfd(ZKd)e jLd*edeCfd+ZMd,eEe&dedeEeBfd-ZNdS)/N) bisect_rightinsort)ChainMap)Anycast)narrow_tensor_by_index)dedup_save_plans)FLATTEN_MAPPINGflatten_state_dict)_flatten_sharded_tensors) set_element)BytesStorageMetadataChunkStorageMetadataMetadata MetadataIndexSTATE_DICT_TYPE STORAGE_TYPES StorageMetaTensorStorageMetadata)LoadPlan LoadPlannerReadItemSavePlan SavePlanner WriteItem WriteItemType)_compare_save_plans_contains_usable_plan"_create_default_metadata_only_plan_create_read_items_create_write_items_init_state_dict_merge_delta_local_plans)find_state_dict_object)DTensor)_versionlogger)DefaultSavePlannerDefaultLoadPlannercreate_default_local_load_plancreate_default_global_load_plancreate_default_local_save_plancreate_default_global_save_planc eZdZUeed< ddedededzded ed df d Z d d ed edzded dfdZ d e fdZ de e d e e fdZ de e d ee e effdZde e d ee e e e effdZde e d ee e effdZde d e fdZde d e fdZded ejejzfdZded efdZdedefdZdS)!r)mappingsTNFr flatten_sharded_tensorsdedup_replicated_tensorsdedup_save_to_lowest_rankenable_plan_cachingreturnc||_||_i|_||_|td|jj|_||_ dS)NzDefaultSavePlanner's `dedup_replicated_tensors` argument is being deprecated, and no longer has any effect. Please remove this argument from your call.) r r1r0r3r(warning __class____name___cached_plans_key_enable_plan_caching)selfr r1r2r3r4s j/var/www/html/CA-Chatbot/venv/lib/python3.11/site-packages/torch/distributed/checkpoint/default_planner.py__init__zDefaultSavePlanner.__init__Isa#5'>$ )B& # / NN"    '+n&=$7!!! state_dict storage_metais_coordinatorc|jrt|\}|_|jrt|}||_||_dSN)r r0r1r r@rB)r<r@rArBs r=set_up_plannerz!DefaultSavePlanner.set_up_planner^sQ  " G(::(F(F %J  ' >1*==J$,r?cxt|j|j}|jrt j||j}||_|jrj|j tj vrPt|tj |j r+tdtgdS||_|jS)N planner_datazINo change in the local plan. Skipping sending the plan to the coordinatorFusable)r-r@rBr dataclassesreplacer0planr;r:r_cached_save_planrr(infor_pending_local_plan)r<rMs r=create_local_planz$DefaultSavePlanner.create_local_planks-dot?RSS  " I&t$-HHHD  $ 0&+*GGG'+78NOH  _ 51111,0(yr? all_plansc,t||jSrD)r r3)r<rRs r=_dedup_save_plansz$DefaultSavePlanner._dedup_save_planss 4+IJJJr?c||}t|\}}|jr8d|D}tt |}t j||}t||}|rGd|}t|dkr |dddz}td|||fS)Ncg|] }|j SrG).0ps r= z:DefaultSavePlanner._create_global_plan..s E E EA E E Er?rGz; iz... (truncated)z Failed to validate global plan: ) rTr.r dictrrKrL_validate_global_planjoinlen ValueError) r<rR deduped_plans global_planmetadataplanner_data_dictmerged_mappingsvalidation_errors error_summarys r=_create_global_planz&DefaultSavePlanner._create_global_plans..y99 ? N N X  " S !F E E E E "8->#?@@O"*8/RRRH1+xHH  Q II&788M=!!C'' -dsd 36G G O OOPP PH$$r?cg}|jtjvrY||\}}|tj|j<|tj|j<|tj|j<|||fSt |sQtgdgt|z}tj|j}tj|j}nttj|j|}|tj|j<||\}}|j|jvruttj|j|D]O\}}t||r%| tgd:| |P|tj|j<|tj|j<|||fS)zw Create global plan with caching. Returns a tuple of global_plan_delta, global_plan, metadata. FrI) r:r_cached_all_plansrg_cached_global_plan_cached_metadatarrr^r#ziprappend)r<rRglobal_plan_deltararb merged_plans cached_plannew_plans r= _create_global_plan_with_cachingz3DefaultSavePlanner._create_global_plan_with_cachings-/  !)F F F %)$<$rrrErrQlistrTtuplerrgrrrtryr|rrTensorrrrrrrrrWr?r=r)r)Fs}$((,04*/$) 88 8"&8#'+ 8 $( 8 " 8 88880,0$ - -# -"D( - -  - - - -88K4>Kd8nKKKK%h% tH~x' (%%%%2:8h:8 tH~tH~x7 8:8:8:8:8x0h0 tH~x' (0000,(xH&9y9U\BJ5N9999>=>S>>>>9cr?r)c ,eZdZUdZeed<eed< ddededed d fd Z dd ed e d zded d fdZ d e fdZ de e d e e fdZde d e fdZdedejd d fdZdefdZdedejd d fdZded ejfdZdedejfdZd S) r*ak DefaultLoadPlanner that adds multiple features on top of LoadPlanner. In particular it adds the following: flatten_state_dict: Handle state_dict with nested dicts flatten_sharded_tensors: For FSDP in 2D parallel mode allow_partial_load: If False, will raise a runtime error if a key is present in state_dict, but not in the checkpoint. original_state_dictr0TFr r1allow_partial_loadr5NcL||_||_i|_i|_||_dSrD)r r1rr0r)r<r r1rs r=r>zDefaultLoadPlanner.__init__1s1 #5'>$#%  "4r?r@rbrBct|||_|jrt|}|jrt |\}|_||_||_||_dSrD) r"rr1r r r0r@rbrB)r<r@rbrBs r=rEz!DefaultLoadPlanner.set_up_planner=sn $$$#-  ' >1*==J  " G(::(F(F %J $  ,r?c|jtd|jrt|j}t|jj}||z }|rddt_t|j \}}t|}||zr||c|_|_ dt_t|j|j|j S)Nzself.metadata is not None2_3) rbAssertionErrorr setr@keysstate_dict_metadatar'_derived_versionrr0r+r)r< current_keys load_keys missing_keysold_state_dict old_mappingsold_keyss r=rQz$DefaultLoadPlanner.create_local_planPs =  !<== =  " 1$t335566LDM=BBDDEEI$|3L 1,1)/A,00, ~224455l*R5C\2DOT]-1)- OT]0G,G   r?rac t|SrD)r,)r<ras r=rtz%DefaultLoadPlanner.create_global_planxs.{;;;r?rqc|SrDrW)r<rqs r=r|zDefaultLoadPlanner.finish_plan{sr? read_itemvaluec|jrAt|j|j|jjt j|ddSt j|d|j|jj<dS)NF) weights_only) r r rr0 dest_indexfqnrloadr@)r<rrs r= load_byteszDefaultLoadPlanner.load_bytes~s  "  ( i267 5u555      9> E999DOI04 5 5 5r?cb||j}|||SrD) lookup_tensorrtransform_tensorr<rtensors r=resolve_tensorz!DefaultLoadPlanner.resolve_tensors.##I$899$$Y777r?rcdSrDrWrs r= commit_tensorz DefaultLoadPlanner.commit_tensors r?rc,t|j|Srrrs r=rz DefaultLoadPlanner.lookup_tensorrr?c8t||j|jSr)r dest_offsetslengthsrs r=rz#DefaultLoadPlanner.transform_tensors%fi.DiFWXXXr?)TTFr)r9rr__doc__rrr rr>rrErrQrrtr|rrrrrrrrrrrrWr?r=r*r*#s)((($((,#( 5 5  5"& 5! 5  5 5 5 5%)$ --#-T/- -  ----&& 8& & & & P=>U\>>>>Y(YELYYYYYYr?r*c `eZdZdZd fd ZdededefdZ d d e dedzd eddffd Z xZ S)_EmptyStateDictLoadPlannera Extension of DefaultLoadPlanner, which rebuilds state_dict from the saved metadata. Useful for loading in state_dict without first initializing a model, such as when converting a DCP checkpoint into a Torch save file. . N.B. `state_dict` must be an empty dictionary when used with this LoadPlanner .. warning:: Because the entire state dict is initialized, It's recommended to only utilize this LoadPlanner on a single rank or process to avoid OOM. NcH||_tj|i|dSrD)rsuperr>)r<rargskwargsr8s r=r>z#_EmptyStateDictLoadPlanner.__init__s, $)&)))))r?keyrbr5c VjdS|jvrdSg}|j|}|D]W}|r>|d|dt |gB||Xt fd|DrdSdS)NT.c3*K|] }|jvVdSrD)r)rXunflattened_keyr<s r= zA_EmptyStateDictLoadPlanner._should_include_key..s*TT$)+TTTTTTr?F)rrHgetrmr]strany)r<rrbunflattened_keysrHrs` r=_should_include_keyz._EmptyStateDictLoadPlanner._should_include_keys 9 4 $)  4&(,0055 + 9 9O 9 ''HH.r2C4H4HIJJ !''8888 TTTTCSTTT T T 4ur?Fr@rBc|rtd|td|jD]\}}|||st |t r%t j|j|j j }|j &||j vrt||j |||||<t|||dS)Nznot state_dictzmetadata is not None)dtype)rritemsr isinstancerremptysize propertiesrrHr rrE)r<r@rbrBkvr8s r=rEz)_EmptyStateDictLoadPlanner.set_up_planners  3 !122 2   !788 806688 " "DAq++Ax88 !233 BKal.@AAA$0Q(:O5O5OJ(=a(@!DDDD ! 1  z8^DDDDDr?rDr) r9rrrr>rrrrrrE __classcell__)r8s@r=rrs  ******sh44%)$ EE#ET/E E  EEEEEEEEEEr?rTr@rbstrictr5c Dg} |D]\}}||jvr|rtd|d$|j|}t|tr]t |ddL|j|kr/td|jd|d|t|tr.|j |t|||z }|t|||z }t|S)Nz&Missing key in checkpoint state_dict: rrzSize mismatch between saved z and current: z for ) rr RuntimeErrorrrgetattrrr_r% device_meshget_coordinater r)r@rbrrequestsrobjmds r=r+r+sHH$$&&99S h2 2 2 "#RC#R#R#RSSS  )# . r0 1 1 VT**6388::%%\rw\\chhjj\\WZ\\  c7 # # 9--//;.sB<<< *3C88 8HH H  r?rRc|S)z Create global load plan used by DefaultLoadPlanner. The default load behavior involved no global coordination and this function currently doesn't change the local plans. rW)rRs r=r,r,s  r?rBcg}|D]Z\}}t|tr-|j|t ||z }G|t ||z }[t |S)a Create the ``SavePlan`` used by DefaultSavePlanner. On non-coordinator ranks, this function ignores tensors and non-tensor objects, only producing writes for ShardedTensor objects. On the coordinator rank, produce writes for all values. )rrr%rrr!r)r@rBrrrs r=r-r-sH$$&& 6 6S c7 # # 6--//;/S999 +C55 5HH H  r?rewrite_index_hintsc i}g}|D]}g}|jD]}|jtjkr|jj|vrt d|jtjkr1t||jj<| |{|j t dtt| |jjt|j j|j jg}|}|rCt!j|jt%|j} t!j|| }| ||j jt d|jjd|j |j j| t!j|||t+|fS) a6 Create the global plan and metadata used by DefaultSavePlanner. Metadata is produced by concatenating the metadata of all ``WriteItem`` from the supplied plans. The only global planning change is to update index hints in all ``MetadataIndex`` objects if ``rewrite_index_hints`` is True. zitem.index.fqn not in mdNzitem.tensor_data is not None)rrchunks)rzZ Cannot create MD for tensor without bounds. FQN: z )r)rrrSHARDrrrrrrm tensor_datarr setdefaultrrrKrLr^rchunkr) rRrr new_plansrM new_itemsitem tensor_mdnew_item new_indexs r=r.r..s$&BI&E&E J# @# @DyM///:>R''()CDDDyM111%9%;%;4:>"  &&&&#+()GHHH )MM -'+'7'B!%!1!6#%    &J + 3 #i.>*?*?!!!I +24yIIIH  ***#)1(**.*** ''(8(>????,TCCCDDDD x|| $$r?cJt|}t|g\}}|S)zTReturn the ``Metadata`` if DefaultSavePlanner was used to checkpoint ``state_dict``.)rr.)r@rM_rs r=_create_default_local_metadatarfs' -j 9 9D +TF 3 3EAr Ir?box0box1ct|j}t|D]\}|j||j||j|zkrdS|j||j||j|zkrdS]dS)z9Check if two boxes overlap. Tuples are (offset, lengths).FT)r^offsetsrangesizes)rrndimsis r=_check_box_overlaprms   E 5\\ <?dl1o 1 = = =55 <?dl1o 1 = = =55 > 4r?outer_box_size inner_boxctt|D]R}|j|dkrdS|j|dkrdS|j||j|z||krdSSdS)NrFT)rr^rr)rrrs r=_check_box_boundsr}s3~&& ' '  Q ! # #55 ?1  ! !55  Q )/!"4 4~a7H H H55 I 4r?rac g}|jD]T\}ttrt jdkr5jd}D]r}tj|s?d|djd|}t || ||tj |j z }st dkr!t jttdfdt!tt fd }g}|D]} | } | j} | | j z} t%|| t&jf} | r|d | =|D]W\}}|}t+| |r:d|d | d |}t || |Xt-|| | ftj j}t |dkr@||kr:d|d |d|}t || |V|S)zNValidate the global plan and return a list of error messages (empty if valid).rzkey:z& has out of bounds chunk: tensor-size:z chunk: r&cj|SrD)r)drs r=z'_validate_global_plan..s %*Q-r?)defaultrchjgfdtDRS)Nc3>K|]}j|VdSrD)r)rXrridxs r=rz:_validate_global_plan....s/BBfSk)!,BBBBBBr?)rr)r rdims sweep_dims`r=r z'_validate_global_plan..sD3K' 2!BBBBBeDkkBBB!!r?)rNz has overlapping chunks:  z invalid fill tensor-volume: z chunks-volume: )rrrrr^rrrr(r7rmmathprodrmaxrsortedrrsysmaxsizerr)rarberrorsr chunks_volumermsgsorted_indicesactiver currentstartendcutoffr other_idxother tensor_volumerrrrs @@@@r=r\r\sF288::77 U e1 2 2   uz??a     4 4E$UZ77 #?3??#(:??7<??s### c""" TYu{33 3MM v;;??uz??DE$KK8O8O8O8OPPPI#c&kk""N-/F% + + + 2gmI66%fuck.BCC(ww$*++LAy"9-E)'599+TSTT7TTUTTs+++ c***vSz**** %*-- {  a  M]$B$BBsBB BB2?BB  NN3    MM#    Mr?)T)OrKrloggingrrbisectrr collectionsrtypingrrrtorch.distributed._shard._utilsr.torch.distributed.checkpoint._dedup_save_plansr )torch.distributed.checkpoint._nested_dictr r 2torch.distributed.checkpoint._sharded_tensor_utilsr &torch.distributed.checkpoint._traverser %torch.distributed.checkpoint.metadatarrrrrrrr$torch.distributed.checkpoint.plannerrrrrrrr,torch.distributed.checkpoint.planner_helpersrrrr r!r"r#"torch.distributed.checkpoint.utilsr$torch.distributed.tensorr%r' getLoggerr9r(Loggerr__all__r)r*rr[rrr+rr,r-rr.rrSizerr\rWr?r=r6s  ''''''''  BBBBBBKKKKKKXWWWWW>>>>>>                    FEEEEE,,,,,,+*844444   ZZZZZZZZztYtYtYtYtYtYtYtYn@E@E@E@E@E!3@E@E@EHDH''S#X'*2'<@' ''''T H~  (^    S#X04 :!%5%5%H~5%5% 4>8 #$5%5%5%5%p8 1 9M RV     J +?      <tH~<<dSVi<<<<<<r?