+ jx^RIHt^RIHt^RIHt^RIHtHt]!RR7]!RR]444t R.t R #) )strict)PreTrainedConfig)auto_docstring)CONFIG_MAPPING AutoConfigz%magic-leap-community/superglue_indoor) checkpointc|aa]tRt^toRtRtR]/tRtRt Rt Rt ^t ^dt RtRtRtRtV3R ltR tV3R ltR tVtV;t#) 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_configNgg{Gz?Fc <VPe VPM RR.^ ,VnVPe VPM.ROVn\VP\4'd^VPP RR4VPR&\ VPR,,!R/VPBVnM%VPf\ R,!4Vn\SV` !R/VBR#)Nselfcross model_type superpoint) @r ) gnn_layers_typeskeypoint_encoder_sizes isinstancer dictgetrsuper __post_init__)rkwargs __class__s&,v/home/luca/screen-checking/.venv/lib/python3.14/site-packages/transformers/models/superglue/configuration_superglue.pyrSuperGlueConfig.__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 \;QJd&RVP4F 'dK RM RM!RVP44'g \R4hVPVP,^8wd \R4hR#)zOPart of `@strict`-powered validation. Validates the architecture of the config.c3*"TF qR9xK R#5i)rN)rrr).0 layer_types& r 8SuperGlueConfig.validate_architecture..Us[EZz!22EZsFTz5All gnn_layers_types must be either 'self' or 'cross'z8hidden_size % num_attention_heads is different from zeroN)allr ValueError hidden_sizenum_attention_heads)rs&r validate_architecture%SuperGlueConfig.validate_architectureRsgs[TEZEZ[sss[TEZEZ[[[TU U   d66 6! ;WX X rNsO/3#-BCAY&AYDAYH  r"