ZjpSSKJr SSKJr SSKJr SSKJrJr \"SS9\"S S \555r S /r g ) )strict)PreTrainedConfig)auto_docstring)CONFIG_MAPPING AutoConfigz%magic-leap-community/superglue_indoor) checkpointc^\rSrSr%SrSrS\0rSr\ \ -S-\ S'Sr \ \ S'Sr\\ S-\ S'Sr\\S-\ S 'S r\ \ S 'S r\ \ S 'Sr\\ S'Sr\\ S'Sr\\ S'Sr\ \-\ S'U4SjrSrSrU=r$)SuperGlueConfiga keypoint_detector_config (`Union[AutoConfig, dict]`, *optional*, defaults to `SuperPointConfig`): The config object or dictionary of the keypoint detector. keypoint_encoder_sizes (`list[int]`, *optional*, defaults to `[32, 64, 128, 256]`): The sizes of the keypoint encoder layers. gnn_layers_types (`list[str]`, *optional*, defaults to `['self', 'cross', 'self', 'cross', 'self', 'cross', 'self', 'cross', 'self', 'cross', 'self', 'cross', 'self', 'cross', 'self', 'cross', 'self', 'cross']`): The types of the GNN layers. Must be either 'self' or 'cross'. sinkhorn_iterations (`int`, *optional*, defaults to 100): The number of Sinkhorn iterations. matching_threshold (`float`, *optional*, defaults to 0.0): The matching threshold. Examples: ```python >>> from transformers import SuperGlueConfig, SuperGlueModel >>> # Initializing a SuperGlue superglue style configuration >>> configuration = SuperGlueConfig() >>> # Initializing a model from the superglue style configuration >>> model = SuperGlueModel(configuration) >>> # Accessing the model configuration >>> configuration = model.config ``` supergluekeypoint_detector_configN hidden_sizekeypoint_encoder_sizesgnn_layers_typesnum_attention_headsdsinkhorn_iterationsgmatching_thresholdg{Gz?initializer_rangeF is_decoderattention_probs_dropout_probc >URb UROSS/S-UlURb URO/SQUl[UR[5(aUURR SS5URS'[ URS"S0URD6UlO URc[ S"5Ul[TU] "S0UD6 g)Nselfcross ) @r model_type superpoint) rr isinstancerdictgetrsuper __post_init__)rkwargs __class__s چ/root/GenerationalWealth/GenerationalWealth/venv/lib/python3.13/site-packages/transformers/models/superglue/configuration_superglue.pyr*SuperGlueConfig.__post_init__Bs9=9N9N9Z 5 5agip`qtu`u+/+F+F+RD ' 'Xj # d33T : ::>:W:W:[:[\hjv:wD ) ), 7,:4;X;XYe;f,g-//-D ) * * 2,:<,H,JD ) ''c[SUR55(d [S5eURUR-S:wa [S5eg)zOPart of `@strict`-powered validation. Validates the architecture of the config.c3*# UH oS;v M g7f))rrNr%).0 layer_types r- 8SuperGlueConfig.validate_architecture..Us[EZz!22EZsz5All gnn_layers_types must be either 'self' or 'cross'rz8hidden_size % num_attention_heads is different from zeroN)allr ValueErrorrr)rs r-validate_architecture%SuperGlueConfig.validate_architectureRsQ[TEZEZ[[[TU U   d66 6! ;WX X rMsO/3#-BCAY&AYDAYH  r/