kh~dZddlZddlZddlmZmZmZmZmZddl Z ddl Z dZ ejeZgdZdeded efd Zd eeefd eeeffd Z dd ededeee j,fded eeeff dZ dde j0j2d ededeee j,fdededeeded efdZ dd eeefde j0j2ded eeeffdZ d de j0j2d edee j8j:deeded eef dZy#e $rdZ YwxYw)!zi Model creation / weight loading / state_dict helpers Hacked together by / Copyright 2020 Ross Wightman N)AnyCallableDictOptionalUnionTF)clean_state_dictload_state_dictload_checkpointremap_state_dictresume_checkpointtextprefixreturncD|j|r|t|dS|S)N) startswithlen)r rs P/var/www/teggl/fontify/venv/lib/python3.12/site-packages/timm/models/_helpers.py_remove_prefixrs$ vCKL!! K state_dictcni}d}|jD]\}}|D]}t||}|||<|S)N)zmodule.z _orig_mod.)itemsr)rcleaned_state_dict to_removekvrs rrrs[I  ""1 %Aq!$A % !1" rcheckpoint_pathuse_emadevice weights_onlyc|rtjj|rt|j dr/t sJdt jj||}n tj|||}d}t|tr;|r|jddd}n$|r|jd dd }n d |vrd }nd |vrd }t|r||n|}tj!d j#|||Stj%d j#|t'#t$rtj||}YwxYw)a_Load state dictionary from checkpoint file. Args: checkpoint_path: Path to checkpoint file. use_ema: Whether to use EMA weights if available. device: Device to load checkpoint to. weights_only: Whether to load only weights (torch.load parameter). Returns: State dictionary loaded from checkpoint. z .safetensorsz-`pip install safetensors` to use .safetensors)r  map_locationr!)r$state_dict_emaN model_emarmodelzLoaded {} from checkpoint '{}'No checkpoint found at '{}')ospathisfilestrendswith_has_safetensors safetensorstorch load_fileload TypeError isinstancedictgetr_loggerinfoformaterrorFileNotFoundError)rrr r! checkpointstate_dict_keyrs rr r ,s@"277>>/:   ( ( 8# T%T T#$**44_V4TJ N"ZZf[gh  j$ ':>>*:DAM!1Z^^K>J!,+!-J&!(%Nj&@Xbc  5<<^_]^ 3::?KL!!% N"ZZfM  Ns-D99 EEr(strictremap filter_fnc4tjj|djdvr)t |dr|j |yt dt||||}|r t||}n |r |||}|j||} | S)a<Load checkpoint into model. Args: model: Model to load checkpoint into. checkpoint_path: Path to checkpoint file. use_ema: Whether to use EMA weights if available. device: Device to load checkpoint to. strict: Whether to strictly enforce state_dict keys match. remap: Whether to remap state dict keys by order. filter_fn: Optional function to filter state dict. weights_only: Whether to load only weights (torch.load parameter). Returns: Incompatible keys from model.load_state_dict(). )z.npzz.npyload_pretrainedz"Model cannot load numpy checkpointN)r r!)r?) r*r+splitextlowerhasattrrDNotImplementedErrorr r ) r(rrr r?r@rAr!rincompatible_keyss rr r Zs2 ww(,2248HH 5+ ,  ! !/ 2 &&JK K!'&WcdJ %j%8 z51 --j-H r allow_reshapec i}t|jj|jD]\\}}\}}|j|jk(s(Jd|d|jd|d|jd |j|jk7rF|r|j |j}n(Jd|d|jd|d|jd |||<|S)aRemap checkpoint by iterating over state dicts in order (ignoring original keys). This assumes models (and originating state dict) were created with params registered in same order. Args: state_dict: State dict to remap. model: Model whose state dict keys to use. allow_reshape: Whether to allow reshaping tensors to match. Returns: Remapped state dictionary. zTensor size mismatch z: z vs z. Remap failed.zTensor shape mismatch )ziprrnumelshapereshape)rr(rJout_dictkavakbvbs rr r s"H!%"2"2"4":":"N>N>PQR(2rxxzRXXZ't+@BrxxjPTUWTXXZ[][c[cZdds)tt' 88rxx ZZ)j 6rd"RXXJd2$bQSQYQYPZZijju  Or optimizer loss_scalerlog_infocPd}tjj|rWtj|dd}t |t rd|vr|rtjdt|d}|j||/d|vr+|rtjd|j|d|C|j|vr5|rtjd |j||jd |vr@|d }d |vr |d d kDr|d z }|r(tjd j||d |S|j||r$tjdj||Stjdj|t)azResume training from checkpoint. Args: model: Model to load checkpoint into. checkpoint_path: Path to checkpoint file. optimizer: Optional optimizer to restore state. loss_scaler: Optional AMP loss scaler to restore state. log_info: Whether to log loading info. Returns: Resume epoch number if available, else None. NcpuFr#rz(Restoring model state from checkpoint...rUz,Restoring optimizer state from checkpoint...z2Restoring AMP loss scaler state from checkpoint...epochversionz!Loaded checkpoint '{}' (epoch {})zLoaded checkpoint '{}'r))r*r+r,r1r3r5r6r8r9rr r>r:r;r<)r(rrUrVrW resume_epochr=rs rr r s&L ww~~o&ZZeRWX j$ 'LJ,F GH)*\*BCJ  ! !* -$ )BLL!OP))*[*AB&;+E+E+SLL!UV++J{7Q7Q,RS*$)'2  *z)/Dq/H A%LLL!D!K!KO]gho]p!qr   ! !* - 5<<_MN 3::?KL!!r)TrYF)TrYTFNF)T)NNT) __doc__loggingr*typingrrrrrr1safetensors.torchr0r/ ImportError getLogger__name__r8__all__r-rrboolr r nnModuler r optim Optimizerintr rrrms% 77  '  H % mcc c3h DcN  +0" +"+"+"c5<<'(+" +"  #s(^ +"b+0(,"'xx'''c5<<'( '  '  'H%'' 'Z#cNxx #s(^ @6:%) 4"xx4"4"EKK1124"c] 4"  4" c] 4"esD11D<;D<