a h&@sddlZddlZddlZddlZddlmZmZddlmZddl m Z ddl m Z ddlm Z ddlmZddlmZmZmZmZmZmZdd lmZd d lmZgd ZeGd ddZGddde ZeedddZeeefe edddZ!ee edddZ"edej#dZ$iZ%d&eeeede$fgede$ffdddZ&d'eeeeeedfeeeedfe'eddd Z(eedej#fdd!d"Z)eeej#d#d$d%Z*dS)(N)IterableMapping) dataclass)Enum)partial) signature) ModuleType)AnyCallableget_argsOptionalTypeVarUnion)nn)load_state_dict_from_url) WeightsEnumWeights get_modelget_model_builderget_model_weights get_weight list_modelsc@sBeZdZUdZeed<eed<eeefed<ee dddZ 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 transformsmeta)otherreturncCst|tstS|j|jkrdS|j|jkr.dSt|jtrvt|jtrv|jj|jjkot|jj|jjkot|jj |jj kS|j|jkSdS)NF) isinstancerNotImplementedrrrrfuncargskeywords)selfrr$E/var/www/auris/lib/python3.9/site-packages/torchvision/models/_api.py__eq__*s   zWeights.__eq__N) __name__ __module__ __qualname____doc__str__annotations__r dictr boolr&r$r$r$r%rs rc@speZdZdZeeedddZeeeeefdddZ edd d Z e d d Z e d dZ 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. )objrcCsV|durRt|tur,|||jdd}n&t||sRtd|jd|jjd|S)N.z(Invalid Weight class provided; expected z but received )typer+replacer'r TypeError __class__)clsr/r$r$r%verifyOs  zWeightsEnum.verify)r!kwargsrcOst|jg|Ri|SN)rr)r#r!r8r$r$r%get_state_dictZszWeightsEnum.get_state_dict)rcCs|jjd|jS)Nr0)r5r'_name_r#r$r$r%__repr__]szWeightsEnum.__repr__cCs|jjSr9)valuerr<r$r$r%r`szWeightsEnum.urlcCs|jjSr9)r>rr<r$r$r%rdszWeightsEnum.transformscCs|jjSr9)r>rr<r$r$r%rhszWeightsEnum.metaN)r'r(r)r* classmethodr r7rr+r:r=propertyrrrr$r$r$r%rEs    r)namerc Csz|d\}}Wn"ty4td|dYn0dtjtjddd}t|}|gddt |tj D}d}|D],}|j |d}|durt |tr|}qq|durtd|d ||S) z Gets the weights enum value by its full name. Example: "ResNet50_Weights.IMAGENET1K_V1" Args: name (str): The name of the weight enum entry. Returns: WeightsEnum: The requested weight enum. r0zInvalid weight name provided: ''.NcSs$g|]}|djdr|dqS)z __init__.py)__file__endswith).0xr$r$r% ~szget_weight..zThe weight enum 'z0' for the specific method couldn't be retrieved.)split ValueErrorjoinsysmodulesr' importlib import_moduleinspect getmembersismodule__dict__get issubclassr) rAZ enum_nameZ value_nameZbase_module_name base_moduleZ model_modules weights_enummZpotential_classr$r$r%rms$      rcCst|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. )rr+r_get_enum_from_fn)rAmodelr$r$r%rs rfnrcCst|}d|jvrtd|jdj}d}t|trDt|trD|}n*t|D] }t|trLt|trL|}qnqL|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 parametersrK annotationrr2rVrr )r]sigannrXtr$r$r%rZs    rZM)bound.cs(tdtftdtfdfdd }|S)N.r\cs6dur n|j}|tvr*td|d|t|<|S)Nz/An entry is already registered under the name 'rB)r'BUILTIN_MODELSrK)r]keyrAr$r%wrappers zregister_model..wrapper)r rd)rArir$rhr%register_models$rj)moduleincludeexcludercsfddtD}|rPt}t|tr0|g}|D]}|tt||B}q4n|}|rt|trh|g}|D]}|tt||}qlt|S)a Returns a list with the names of registered models. Args: module (ModuleType, optional): The module from which we want to extract the available models. include (str or Iterable[str], optional): Filter(s) for including the models from the set of all models. Filters are passed to `fnmatch `__ to match Unix shell-style wildcards. In case of many filters, the results is the union of individual filters. exclude (str or Iterable[str], optional): Filter(s) applied after include_filters to remove models. Filter are passed to `fnmatch `__ to match Unix shell-style wildcards. In case of many filters, the results is removal of all the models that match any individual filter. Returns: models (list): A list with the names of available models. cs4h|],\}}dus,|jdddjkr|qS)Nr0rDr)r(rsplitr')rGkvrkr$r% szlist_models..)rfitemssetrr+fnmatchfiltersorted)rkrlrmZ all_modelsmodelsZinclude_filterZexclude_filterr$rqr%rs    rcCs:|}z t|}Wn ty4td|Yn0|S)z Gets the model name and returns the model builder method. Args: name (str): The name under which the model is registered. Returns: fn (Callable): The model builder method. zUnknown model )lowerrfKeyErrorrK)rAr]r$r$r%rs   r)rAconfigrcKst|}|fi|S)a& Gets the model name and configuration and returns an instantiated model. Args: name (str): The name under which the model is registered. **config (Any): parameters passed to the model builder method. Returns: model (nn.Module): The initialized model. )r)rAr{r]r$r$r%r s r)N)NNN)+rurOrQrMcollections.abcrrZ dataclassesrenumr functoolsrrtypesrtypingr r r r r rZtorchrZ_internally_replaced_utilsr__all__rrr+rr2rrZModulerdrfrjlistrrrr$r$r$r%sB        /($ 0  (