/j& ddlZddlZddlZddlZddlmZddlmZddlm Z ddl m Z ddlm Z ddl mZddlmZmZmZmZmZmZdd lmZd d lmZgd ZeGd dZGdde ZdedefdZdeeefdeefdZ dedeefdZ!edej"Z#iZ$d"deedeede#fgede#fffdZ% d#deedeeeedfdeeeedfde&efdZ'dededej"ffdZ(ded edej"fd!Z)dS)$N)Iterable) dataclass)Enum)partial) signature) ModuleType)AnyCallableget_argsOptionalTypeVarUnion)nn)load_state_dict_from_url) WeightsEnumWeights get_modelget_model_builderget_model_weights get_weight list_modelscReZdZUdZeed<eed<eeefed<dede fdZ dS) ra This class is used to group important attributes associated with the pre-trained weights. Args: url (str): The location where we find the weights. transforms (Callable): A callable that constructs the preprocessing method (or validation preset transforms) needed to use the model. The reason we attach a constructor method rather than an already constructed object is because the specific object might have memory and thus we want to delay initialization until needed. meta (Dict[str, Any]): Stores meta-data related to the weights of the model and its configuration. These can be informative attributes (for example the number of parameters/flops, recipe link/methods used in training etc), configuration parameters (for example the `num_classes`) needed to construct the model or important meta-data (for example the `classes` of a classification model) needed to use the model. url transformsmetaotherreturnct|tstS|j|jkrdS|j|jkrdSt|jt rht|jt rN|jj|jjko3|jj|jjko|jj |jj kS|j|jkS)NF) isinstancerNotImplementedrrrrfuncargskeywords)selfrs \/home/longshao/multi-rider-rag/.venv/lib/python3.11/site-packages/torchvision/models/_api.py__eq__zWeights.__eq__*s%)) "! ! 8uy 5 9 " "5 dow / / 7Ju?OQX4Y4Y 7$(8(==JO(E,<,AAJO,0@0II  ?e&66 6N) __name__ __module__ __qualname____doc__str__annotations__r dictr boolr'r(r&rrsm   HHH sCx.7C7D777777r(rceZdZdZededefdZdededeeeffdZ defdZ e d Z e d Z e d Zd S) raM This class is the parent class of all model weights. Each model building method receives an optional `weights` parameter with its associated pre-trained weights. It inherits from `Enum` and its values should be of type `Weights`. Args: value (Weights): The data class entry with the weight information. objrc|pt|tur%|||jdzd}n5t ||s%t d|jd|jjd|S)N.z(Invalid Weight class provided; expected z but received )typer-replacer)r TypeError __class__)clsr3s r&verifyzWeightsEnum.verifyOs ?CyyC#++clS&8"==>S)) ts|tt[^[h[qttt r(r#kwargsc,t|jg|Ri|SN)rr)r%r#r=s r&get_state_dictzWeightsEnum.get_state_dictZs"'B4BBB6BBBr(c.|jjd|jS)Nr5)r:r)_name_r%s r&__repr__zWeightsEnum.__repr__]s.)99DK999r(c|jjSr?)valuerrCs r&rzWeightsEnum.url`s z~r(c|jjSr?)rFrrCs r&rzWeightsEnum.transformsds z$$r(c|jjSr?)rFrrCs r&rzWeightsEnum.metahs zr(N)r)r*r+r, classmethodr r<r/r-r@rDpropertyrrrr1r(r&rrEs[CCC3C4S>CCCC:#::::X%%X%Xr(rnamercB |d\}}n!#t$rtd|dwxYwdtjt jddd}t j|}|gdtj |tj Dz}d}|D]8}|j |d}|t|tr|}n9|td|d||S) z Gets the weights enum value by its full name. Example: "ResNet50_Weights.IMAGENET1K_V1" Args: name (str): The name of the weight enum entry. Returns: WeightsEnum: The requested weight enum. r5zInvalid weight name provided: ''.Nc^g|]*}|djd"|d+S)z __init__.py)__file__endswith).0xs r& zget_weight..~sF%%% Q4= ! !- 0 0% !%%%r(zThe weight enum 'z0' for the specific method couldn't be retrieved.)split ValueErrorjoinsysmodulesr) importlib import_moduleinspect getmembersismodule__dict__get issubclassr) rK enum_name value_namebase_module_name base_module model_modules weights_enummpotential_classs r&rrmsKE $ 3 :: EEEC4CCCDDDExx H 5 > D DS I I#2# NOO)*:;;K M%%#K1ABB%%%M L *..D99  &:o{+S+S &*L EhYhhhiii  ##s9clt|trt|n|}t|S)a Returns the weights enum class associated to the given model. Args: name (callable or str): The model builder function or the name under which it is registered. Returns: weights_enum (WeightsEnum): The weights enum class associated with the model. )r r-r_get_enum_from_fn)rKmodels r&rrs4(2$'<'< F d # # #$E U # ##r(fncxt|}d|jvrtd|jdj}d}t |t rt |tr|}n@t|D]0}t |t rt |tr|}n1|td|S)z Internal method that gets the weight enum of a specific model builder method. Args: fn (Callable): The builder method used to create the model. Returns: WeightsEnum: The requested weight enum. weightsz-The method is missing the 'weights' argument.NzjThe WeightsEnum class for the specific method couldn't be retrieved. Make sure the typing info is correct.) r parametersrW annotationr r7rbrr )rnsigannrhts r&rlrls B--C&&HIII . # .CL#tC!=!= #  A!T"" z!['A'A   x    r(M)bound.cddtdtfdtdtfffd }|S)Nrn.rcjn|j}|tvrtd|d|t|<|S)Nz/An entry is already registered under the name 'rM)r)BUILTIN_MODELSrW)rnkeyrKs r&wrapperzregister_model..wrappersG&ddBK . VsVVVWW W s r()r rv)rKr|s` r&register_modelr}sHHS!V$#q&)9 Nr(moduleincludeexcludecfdtD}|rQt}t|tr|g}|D]'}|tt j||z}(n|}|rBt|tr|g}|D]'}|tt j||z }(t|S)a Returns a list with the names of registered models. Args: module (ModuleType, optional): The module from which we want to extract the available models. include (str or Iterable[str], optional): Filter(s) for including the models from the set of all models. Filters are passed to `fnmatch `__ to match Unix shell-style wildcards. In case of many filters, the results is the union of individual filters. exclude (str or Iterable[str], optional): Filter(s) applied after include_filters to remove models. Filter are passed to `fnmatch `__ to match Unix shell-style wildcards. In case of many filters, the results is removal of all the models that match any individual filter. Returns: models (list): A list with the names of available models. crh|]3\}}*|jdddjk1|4S)Nr5rPr)r*rsplitr))rSkvr~s r& zlist_models..sPa!,BUBUVY[\B]B]^_B`djdsBsBsBsBsBsr()rzitemssetr r-fnmatchfiltersorted)r~rr all_modelsmodelsinclude_filterexclude_filters` r&rrs($**,,J55 gs # # iG% N NNc'.^"L"LMMMFF NN gs # # iG% N NNc'.^"L"LMMMFF &>>r(c|} t|}n #t$rtd|wxYw|S)z Gets the model name and returns the model builder method. Args: name (str): The name under which the model is registered. Returns: fn (Callable): The model builder method. zUnknown model )lowerrzKeyErrorrW)rKrns r&rrsY ::<rs $$$$$$!!!!!!DDDDDDDDDDDDDDDDAAAAAA y x x ,7,7,7,7,7,7,7 ,7^%%%%%$%%%P!$S!$[!$!$!$!$H $E(C-0 $T+5F $ $ $ $(tK'8@ GCry!!!#(HS!V