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QuestionAnsweringlabel)start_positions end_positions)r+rErFrGrH)rI model_namerFrJs r. find_labelsrRWs%%J!!+"5"56Ij($//m/a7a<1HlCl/mm$//@/a7a</@@n@sBB, B:Bc0SSjn[U"XU55$)z/Flatten a nested dict into a single level dict.c3# UR5Hkup4U(a[U5U-[U5-OUnU(a7[U[5(a"[ XEUS9R5ShvN MfXT4v Mm gN7f)N) delimiter)rrFr\r flatten_dict)d parent_keyrUrrrs r. _flatten_dict#flatten_dict.._flatten_dictjsgGGIDA:D#j/I-A6!CZ>22')DJJLLLf MsA0B2B3Br)r)rWrXrUrYs r.rVrVgs  aY7 88r0c[U5(a[R"XS9$[U5(aUc UR$UR "U6$[ S[U5S35e)z4 Framework-agnostic version of transpose operation. )axesz"Type not supported for transpose: r)rNrD transposerMTpermuter?rG)rr^s r.r_r_us^e||E--   ,uww@EMM4,@@=d5k]!LMMr0c[U5(a[R"X5$[U5(aUR"U6$[ S[ U5S35e)z2 Framework-agnostic version of reshape operation. z Type not supported for reshape: r)rNrDreshaperMr?rG)rnewshapes r.rcrcsQezz%**   }}h'';DK=JKKr0c[U5(a[R"XS9$[U5(a"UcUR5$URUS9$[ S[ U5S35e)z2 Framework-agnostic version of squeeze operation. )axisdimz Type not supported for squeeze: r)rNrDsqueezerMr?rGrrfs r.ririsbezz%++   "&,u}}KEMMdM4KK;DK=JKKr0c[U5(a[R"X5$[U5(aUR US9$[ S[ U5S35e)z6 Framework-agnostic version of expand_dims operation. rgz$Type not supported for expand_dims: r)rNrD expand_dimsrM unsqueezer?rGrjs r.rlrlsSe~~e**   4((?U }ANOOr0c[U5(a[R"U5$[U5(aUR 5$[ S[ U5S35e)z/ Framework-agnostic version of size operation. z$Type not supported for tensor_size: r)rNrDsizerMnumelr?rG)rs r. tensor_sizerqsMewwu~   {{}?U }ANOOr0c[(d [U5$SSKnURR 5(a5[ XR 5(aURUR5$[U5$)zc Casts an input to a torch int64 tensor if we are in a tracing context, otherwise to a Python int. rN) r rlr!jit is_tracingr\r`toint64ras r. torch_intrwsU  1v  % 4 4 6 6:a;V;V144 b\_`a\bbr0c[(d [U5$SSKnURR 5(a5[ XR 5(aURUR5$[U5$)zg Casts an input to a torch float32 tensor if we are in a tracing context, otherwise to a Python float. rN) r rlr!rsrtr\r`rufloat32ras r. torch_floatrzsU  1v "'))"6"6"8"8Z<<=X=X144 d^abc^ddr0c@^U=(d /n[U5mU4SjnU$)a Decorator to filter out named arguments that are not in the function signature. This decorator ensures that only the keyword arguments that match the function's signature, or are specified in the `extra` list, are passed to the function. Any additional keyword arguments are filtered out and a warning is issued. Parameters: extra (`Optional[list]`, *optional*): A list of extra keyword argument names that are allowed even if they are not in the function's signature. Returns: Callable: A decorator that wraps the function and filters out invalid keyword arguments. Example usage: ```python @filter_out_non_signature_kwargs(extra=["allowed_extra_arg"]) def my_function(arg1, arg2, **kwargs): print(arg1, arg2, kwargs) my_function(arg1=1, arg2=2, allowed_extra_arg=3, invalid_arg=4) # This will print: 1 2 {"allowed_extra_arg": 3} # And issue a warning: "The following named arguments are not valid for `my_function` and were ignored: 'invalid_arg'" ``` c>^^^^[R"T5n[URR 55nUR T5mSU;mSU;mSTl[T5UUUU4Sj5nU$)NrrTc>0n0nUR5HupEUT ;aXRU'MXSU'M U(aUVs/sH nSUS3PM nnSRU5nT (aUSRRS-nOT (aUSRS-nOSn[R "SUTRSU3[ SS 9 T"U0UD6$s snf) N'z, rrr\z1The following named arguments are not valid for `z` and were ignored: r) stacklevel)rjoinrr+warningswarn UserWarning) rr valid_kwargsinvalid_kwargsrrinvalid_kwargs_names cls_prefixfuncis_class_methodis_instance_methodvalid_kwargs_to_passs r.wrapperCfilter_out_non_signature_kwargs..decorator..wrappersLN ,,&'O()1% ' :H'I.Q!A3a.$'I'+yy1E'F$&!%a!2!2!;!;c!AJ$!%a!1!1C!7J!#J G |TXTaTaSbc**>)?A .. .%(JsC)rErFsetrHrunion _filter_out_non_signature_kwargsr)rsigfunction_named_argsrrrrextra_params_to_passs` @@@r. decorator2filter_out_non_signature_kwargs..decorators}%!#.."5"5"782889MN$'::#6615- t /  />r0)r)extrarrs @r.filter_out_non_signature_kwargsrs&6 KREu:,\ r0c~\rSrSr%SrS\S'S\S'S\S'S\S'S \S 'S \S 'S \S 'S \S'S \S'S\S'Srg)TransformersKwargsia) Keyword arguments to be passed to the forward pass of a `PreTrainedModel`. Attributes: num_items_in_batch (`Optional[torch.Tensor]`, *optional*): Number of items in the batch. It is recommended to pass it when you are doing gradient accumulation. output_hidden_states (`Optional[bool]`, *optional*): Most of the models support outputting all hidden states computed during the forward pass. output_attentions (`Optional[bool]`, *optional*): Turn this on to return the intermediary attention scores. output_router_logits (`Optional[bool]`, *optional*): For MoE models, this allows returning the router logits to compute the loss. cu_seq_lens_q (`torch.LongTensor`, *optional*) Gets cumulative sequence length for query state. cu_seq_lens_k (`torch.LongTensor`, *optional*) Gets cumulative sequence length for key state. max_length_q (`int`, *optional*): Maximum sequence length for query state. max_length_k (`int`, *optional*): Maximum sequence length for key state. position_ids (`torch.LongTensor`, *optional*) Indices of positions of each input sequence tokens. is_causal (`bool`, *optional*) Can be set to False to enable bi-directional attention, i.e. use decoder Attention modules as encoders. ztorch.Tensor | Nonenum_items_in_batch bool | Noneoutput_hidden_statesoutput_attentionsoutput_router_logitsztorch.LongTensor | None cu_seq_lens_q cu_seq_lens_k int | None max_length_q max_length_k position_ids is_causalrN)r+r*rrr__annotations__rrr0r.rrsE4,+%%""%%****))r0r)totalc SU;$)z3Checks whether a config dict is a timm config dict.pretrained_cfgr)rs r.is_timm_config_dictr?s { **r0cUcg[U5n[RRU5n[RR U5nU(aKUR S5(a5[ U5n[R"U5nSSS5 [W5$U(a[RR[RRUS55(aS[ [RRUS55n[R"U5nSSS5 [W5$g!,(df  N=f!,(df  N+=f)z9 Checks whether a checkpoint is a timm model checkpoint. NFz.jsonz config.json) rFospathisfileisdirendswithrrloadrexistsr)pretrained_model_pathis_fileis_dirr9rs r.is_timm_local_checkpointrDs$ 56ggnn23G WW]]0 1F(11':: ' (A))A,K)";//"''...C]!STT "'',,4mD E))A,KF";// ) ( F Es6D=E= E  Ecb[XU5 UR5Hn[X1U5 M g)z- Set a value to a module and all submodules. N)rchildrenset_attribute_for_modules)modulerrt submodules r.rr`s) F__& !)%8'r0c~[X5(a [X5 UR5Hn[X!5 M g)z2 Delete a value from a module and all submodules. N)rgdelattrrdel_attribute_from_modules)rrrs r.rris0 v__& "92'r0c0^[T5U4Sj5nU$)z Decorator to wrap model method, to call output.to_tuple() if return_dict=False passed as a kwarg or return_dict=False is set in the config. Note: output.to_tuple() convert output to tuple skipping all `None` values. c>[US5(aURROSnURSU5nUbUnT"U/UQ70UD6nU(d%[ U[ 5(dUR 5nU$)NrT return_dict)rgrrrr\rqr)rrrrreturn_dict_passedrrs r.r!can_return_tuple..wrapper~sp18x1H1Hdkk--d #ZZ {C  ),Kd,T,V,:fe#<#<__&F r0rrrs` r.can_return_tuplerus" 4[ Nr0c0^[T5U4Sj5nU$)z Decorator using config field (if they exist) as default value for some args and kwargs. Precedence is always given to the args/kwargs that are explicitly passed. c>/SQnUGH3nSnUT RR;a(T RRRU5S- nUb[U5U:a XbXnO.UR U5bX$nO[ UR US5nUcMUS:XaB[ USS5(a/UR(aU(a[RS5 SnO!US:XaSS /nXg;a[S US US 35eUb,[U5U:a[U5nXaU'[U5nGM/XbU'GM6 UR S [ UR S S55nUbG[UR S 5n U (aUR Rn XR lXS 'UR SS5(aDSSKJn U "XR SS5UR S55 T "U/UQ70UD6n SSS5 O T "U/UQ70UD6n Ub&W (aW UR lW $UR ?W $!,(df  N9=f!Ub&W (aW UR lfUR ?ff=f)N) use_cachevision_feature_layervision_feature_select_strategyvision_aspect_ratiorrgradient_checkpointingFzX`use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`.rrfullz%`Unexpected select feature strategy: z. Please select from rrdebug_ior)model_addition_debugger_context debug_io_dir model_debug prune_layers)__code__ co_varnamesindexrrgetrhrtraininglogger warning_oncer?rprqrgrmodel_debugging_utilsr)rrrargs_with_config_defaultsarg_name arg_index arg_valuevalid_strategiesris_causal_in_configis_causal_original_valuerrrs r.r+merge_with_config_defaults..wrappersu% ! 2HI4==444 MM55;;HEI $TY)>4?C^ O H%1", #DKK4@ ${*t%=uEE$--\e++v%* !AA(16':$ 8(CI;Ncdtcuuvw(SY-B:D&/O ;D'08$A2FJJ{GDKKd,ST  ")$++{"C "+/;;+@+@($-KK !"+;  .zz*e,,S4**^]CVZZP^E_"$888F d4T4V4$&,DDKK)  - $&,DDKK) - %s%2AI7 II II+Jrrs` r.merge_with_config_defaultsrs%  4[FFP Nr0cB[RS5 [U5$)NzZThe `check_model_inputs` decorator is deprecated in favor of `merge_with_config_defaults`.)rrr)rs r.check_model_inputsrs tu %d ++r0c^\rSrSrSr0rSrSrSrSr Sr Sr \ S S j5r SS jrS rg )GeneralInterfaceiz Dict-like object keeping track of a class-wide mapping, as well as a local one. Allows to have library-wide modifications through the class mapping, as well as local modifications in a single file with the local mapping. c0Ulgr_local_mappingrs r.rGeneralInterface.__init__s  r0c\XR;aURU$URU$r)r_global_mappingrrs r.rGeneralInterface.__getitem__s0 %% %&&s+ +##C((r0c<URRX05 gr)rr)rrrts r.rGeneralInterface.__setitem__s ""C<0r0cURU grrrs r.rGeneralInterface.__delitem__s    $r0cH[0UREURE5$r)rrrrs r.__iter__GeneralInterface.__iter__s$Ct++Ct/B/BCDDr0c~[URR5URR5-5$r)rrrrrrs r.__len__GeneralInterface.__len__s04'',,.1D1D1I1I1KKLLr0c<URRX05 gr)rr)rrrts r.registerGeneralInterface.registers ""C<0r0c4[UR55$r)rprrs r. valid_keysGeneralInterface.valid_keys sDIIK  r0rN)rrFrtr)r list[str])r+r*rrrrrrrrrrr'rrrrr0r.rrsGO!) 1%EM11!r0rg?g>@c$^^^^^UUUUU4SjnU$)ae Decorator that retries a function call with exponential backoff. Args: max_retries (`int`, *optional*, defaults to 5): Maximum number of retry attempts. initial_delay (`float`, *optional*, defaults to 1.0): Initial delay in seconds before the first retry. max_delay (`float`, *optional*, defaults to 30.0): Maximum delay in seconds between retries. jitter (`bool`, *optional*, defaults to `True`): Whether to add random jitter to the delay. exceptions (`tuple`, *optional*, defaults to `(Exception,)`): Tuple of exception types to catch and retry on. c<>^[T5UUUUUU4Sj5nU$)Nc>Tn[ST S-5H nT"U0UD6s $ g!TanUT :Xae[UT 5nT (aU[R"SS5-n[R STR SUST SUSUS S 3 5 [R"U5 [US -T 5nSnAMSnAff=f) Nrg?g333333?[z ] attempt /z failed: z Retrying in z.1fzs...r) rangeminrandomuniformrinfor+timesleep) rrdelayattemptexc sleep_for exceptionsr initial_delayjitter max_delay max_retriess r.r)retry..decorator..wrapper's!E K!O460005" 6+- #E9 5I!V^^C%== KKDMM?*WIQ{m9UXTYZ''0oT;JJy) 95E 6s$B>B B99B>r)rrrrrrrs` r.rretry..decorator&s% t 6 6  6*r0r)rrrrrrs````` r.retryrs.2 r0)rztype[ModelOutput]rr)rrl)r str | None)rrn)NTN)r|rFriztorch.dtype | Nonerwrnrxr)NNN)rrrrrrn)rrrztuple[bool, str | None])rrF)rrrztuple[list[Any], list[str]]r)rWz Iterable[Any]r rrztype[ModelOutput] | Nonerrr[)rWrrXrFrUrF)rz list | None)rzdict[str, Any]rrn)rrFrrn)r nn.ModulerrFrtr)rrrrF)cr __future__rrErrr rr r collectionsrrcollections.abcrrr contextlibr r r dataclassesr r enumr functoolsrrtypingrrrrrDr%r import_utilsrrrr!r get_loggerr+rr rrrr/rrArKrUrZrNrMrerjrsr}rrOrrrrrrr(r)rFr"r)r1r6rKrRrVr_rcrirlrqrwrzrrrrrrrrrrrrrr0r.r's\# ->>EE,$00QQ   H %14642 5 9&"% ' '&",!%!%   :# :_c!75?!7Q[!7 !7H ;D0I3+I3X6-15 5 5*5 5  3  l--$  A 9 N L L P P c eL^$%$N+ 89 3.Oj, &!~&!T | 0r0