o V h& @sddlZddlZddlZddlZddlmZddlmZddlm Z ddlm Z ddl m Z ddl mZmZmZmZmZmZmZmZmZmZmZmZddlmZd d lmZgd ZeGd d d ZGdddeZ de!de fddZ"deee!fdee fddZ#dedee fddZ$edej%dZ&iZ'd(dee!deede&fgede&fffddZ(   d)dee deee!e!dfd eee!e!dfdee!fd!d"Z)de!dedej%ffd#d$Z*de!d%edej%fd&d'Z+dS)*N) dataclass)Enum)partial) signature) ModuleType) AnyCallableDictget_argsIterableListMappingOptionalSetTypeTypeVarUnion)nn)load_state_dict_from_url) WeightsEnumWeights get_modelget_model_builderget_model_weights get_weight list_modelsc@sDeZdZUdZeed<eed<eeefed<dede fddZ d S) 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 transformsmetaotherreturncCst|tstS|j|jkrdS|j|jkrdSt|jtr;t|jtr;|jj|jjko:|jj|jjko:|jj |jj kS|j|jkS)NF) isinstancerNotImplementedrrrrfuncargskeywords)selfr r(K/var/www/vscode/kcb/lib/python3.10/site-packages/torchvision/models/_api.py__eq__)s    zWeights.__eq__N) __name__ __module__ __qualname____doc__str__annotations__rr rboolr*r(r(r(r)rs rc@sveZdZdZededefddZdededeeeffdd Z defd d Z e d d Z e ddZ e ddZdS)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. objr!cCsX|dur*t|tur|||jdd}|St||s*td|jd|jjd|S)N.z(Invalid Weight class provided; expected z but received )typer/replacer+r" TypeError __class__)clsr2r(r(r)verifyNs  zWeightsEnum.verifyr%kwargscOst|jg|Ri|SN)rr)r'r%r;r(r(r)get_state_dictYszWeightsEnum.get_state_dictcCs|jjd|jS)Nr3)r8r+_name_r'r(r(r)__repr__\szWeightsEnum.__repr__cC|jjSr<)valuerr?r(r(r)r_zWeightsEnum.urlcCrAr<)rBrr?r(r(r)rcrCzWeightsEnum.transformscCrAr<)rBrr?r(r(r)rgrCzWeightsEnum.metaN)r+r,r-r. classmethodrr:r r/r=r@propertyrrrr(r(r(r)rDs    rnamer!c Csz |d\}}Wntytd|dwdtjtjddd}t|}|gddt |tj D}d}|D]}|j |d}|durWt |trW|}nqA|durdtd|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. r3zInvalid weight name provided: ''.NcSs$g|]}|djdr|dqS)z __init__.py)__file__endswith).0xr(r(r) }s zget_weight..zThe weight enum 'z0' for the specific method couldn't be retrieved.)split ValueErrorjoinsysmodulesr+ importlib import_moduleinspect getmembersismodule__dict__get issubclassr) rF enum_name value_namebase_module_name base_module model_modules weights_enummpotential_classr(r(r)rls(      rcCst|tr t|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)rFmodelr(r(r)rs rfncCst|}d|jvr td|jdj}d}t|tr"t|tr"|}nt|D]}t|tr6t|tr6|}nq&|dur?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 parametersrP annotationr"r5r[rr )rfsigannratr(r(r)rds"   rdM)bound.cs*dtdtfdtdtfffdd }|S)Nrf.r!cs6durn|j}|tvrtd|d|t|<|S)Nz/An entry is already registered under the name 'rG)r+BUILTIN_MODELSrP)rfkeyrFr(r)wrappers zregister_model..wrapper)rrm)rFrrr(rqr)register_models&rsmoduleincludeexcludecsfddtD}|r(t}t|tr|g}|D] }|tt||B}qn|}|rCt|tr4|g}|D] }|tt||}q6t|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. cs4h|]\}}dus|jdddjkr|qS)Nr3rIr)r,rsplitr+)rLkvrtr(r) s.zlist_models..)roitemssetr"r/fnmatchfiltersorted)rtrurv all_modelsmodelsinclude_filterexclude_filterr(rzr)rs"   rcCs4|}zt|}W|Stytd|w)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 )lowerroKeyErrorrP)rFrfr(r(r)rs   rconfigcKst|}|di|S)a& Gets the model name and configuration and returns an instantiated model. Args: name (str): The name under which the model is registered. **config (Any): parameters passed to the model builder method. Returns: model (nn.Module): The initialized model. Nr()r)rFrrfr(r(r)rs rr<)NNN),r~rTrVrR dataclassesrenumr functoolsrrtypesrtypingrrr r r r r rrrrrtorchr_internally_replaced_utilsr__all__rrr/rrrdModulermrorsrrrr(r(r(r)sH     8  /($ 2  (