U hF'@sddlZddlZddlZddlZddlmZddlmZddlm Z ddlm Z ddl m Z ddl mZmZmZmZmZmZmZmZmZmZmZddlmZd d lmZd d d ddddgZeGdd d ZGdd d eZe edddZ!eee feedddZ"eeedddZ#edej$dZ%iZ&d$ee eede%fgede%ffdddZ'd%ee eee e dfeee e dfee dd dZ(e edej$fdd!dZ)e eej$d"d#d Z*dS)&N) dataclass)Enum)partial) signature) ModuleType) AnyCallableDictIterableListMappingOptionalSetTypeTypeVarUnion)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'I/var/www/html/venv/lib/python3.8/site-packages/torchvision/models/_api.py__eq__)s   zWeights.__eq__N) __name__ __module__ __qualname____doc__str__annotations__rr rboolr)r'r'r'r(rs c@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. )objr cCsV|dk rRt|tkr,|||jdd}n&t||sRtd|jd|jjd|S)N.z(Invalid Weight class provided; expected z but received )typer.replacer*r! TypeError __class__)clsr1r'r'r(verifyNs  zWeightsEnum.verify)r$kwargsr cOst|jf||SN)rr)r&r$r:r'r'r(get_state_dictYszWeightsEnum.get_state_dict)r cCs|jjd|jS)Nr2)r7r*_name_r&r'r'r(__repr__\szWeightsEnum.__repr__cCs|jjSr;)valuerr>r'r'r(r_szWeightsEnum.urlcCs|jjSr;)r@rr>r'r'r(rcszWeightsEnum.transformscCs|jjSr;)r@rr>r'r'r(rgszWeightsEnum.metaN)r*r+r,r- classmethodrr9r r.r<r?propertyrrrr'r'r'r(rDs    )namer c Csz|d\}}Wn$tk r6td|dYnXdtjtjddd}t|}|gddt |tj D}d}|D],}|j |d}|dk rt |tr|}qq|dkrtd|d ||S) z Gets the weights enum value by its full name. Example: "ResNet50_Weights.IMAGENET1K_V1" Args: name (str): The name of the weight enum entry. Returns: WeightsEnum: The requested weight enum. r2zInvalid weight name provided: ''.NcSs$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) rCZ enum_nameZ value_nameZbase_module_name base_moduleZ model_modules weights_enummZpotential_classr'r'r(rls$     cCst|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)rCmodelr'r'r(rs fnr cCst|}d|jkrtdt|jdj}d}t|trHt|trH|}n(|jD] }t|trNt|trN|}qpqN|dkrtd|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 parametersrM annotationr!r4rXr__args__)r_sigannrZtr'r'r(r\s   r\M)bound.cs(tdtftdtfdfdd }|S)N.r^cs6dk r n|j}|tkr*td|d|t|<|S)Nz/An entry is already registered under the name 'rD)r*BUILTIN_MODELSrM)r_keyrCr'r(wrappers zregister_model..wrapper)rrg)rCrlr'rkr(register_models$rm)moduleincludeexcluder csfddtD}|rPt}t|tr0|g}|D]}|tt||B}q4n|}|rt|trh|g}|D]}|tt||}qlt|S)a Returns a list with the names of registered models. Args: module (ModuleType, optional): The module from which we want to extract the available models. include (str or Iterable[str], optional): Filter(s) for including the models from the set of all models. Filters are passed to `fnmatch `__ to match Unix shell-style wildcards. In case of many filters, the results is the union of individual filters. exclude (str or Iterable[str], optional): Filter(s) applied after include_filters to remove models. Filter are passed to `fnmatch `__ to match Unix shell-style wildcards. In case of many filters, the results is removal of all the models that match any individual filter. Returns: models (list): A list with the names of available models. cs4h|],\}}dks,|jdddjkr|qS)Nr2rFr)r+rsplitr*)rIkvrnr'r( szlist_models..)riitemssetr!r.fnmatchfiltersorted)rnrorpZ all_modelsmodelsZinclude_filterZexclude_filterr'rtr(rs    cCs<|}z t|}Wn"tk r6td|YnX|S)z Gets the model name and returns the model builder method. Args: name (str): The name under which the model is registered. Returns: fn (Callable): The model builder method. zUnknown model )lowerriKeyErrorrM)rCr_r'r'r(rs  )rCconfigr cKst|}|f|S)a& Gets the model name and configuration and returns an instantiated model. Args: name (str): The name under which the model is registered. **config (Any): parameters passed to the model builder method. Returns: model (nn.Module): The initialized model. )r)rCr~r_r'r'r(r s )N)NNN)+rxrQrSrO dataclassesrenumr functoolsrrtypesrtypingrrr r r r r rrrrZtorchrZ_internally_replaced_utilsr__all__rrr.rrr\Modulergrirmrrrr'r'r'r(s@     4  /($!0  (