`iaddlmZmZddlmZddlmZddlmZerddl m Z ej e Z Gdd eZd gZd S) ) TYPE_CHECKINGOptional)PretrainedConfig)logging)CONFIG_MAPPING)SuperPointConfigceZdZdZdZ dd d d ed eeed eeededede de ffd Z e dZ xZ S)SuperGlueConfiga This is the configuration class to store the configuration of a [`SuperGlueModel`]. It is used to instantiate a SuperGlue model according to the specified arguments, defining the model architecture. Instantiating a configuration with the defaults will yield a similar configuration to that of the SuperGlue [magic-leap-community/superglue_indoor](https://huggingface.co/magic-leap-community/superglue_indoor) architecture. Configuration objects inherit from [`PretrainedConfig`] and can be used to control the model outputs. Read the documentation from [`PretrainedConfig`] for more information. Args: keypoint_detector_config (`Union[AutoConfig, dict]`, *optional*, defaults to `SuperPointConfig`): The config object or dictionary of the keypoint detector. hidden_size (`int`, *optional*, defaults to 256): The dimension of the descriptors. 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'. num_attention_heads (`int`, *optional*, defaults to 4): The number of heads in the GNN layers. sinkhorn_iterations (`int`, *optional*, defaults to 100): The number of Sinkhorn iterations. matching_threshold (`float`, *optional*, defaults to 0.0): The matching threshold. initializer_range (`float`, *optional*, defaults to 0.02): The standard deviation of the truncated_normal_initializer for initializing all weight matrices. 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 ``` superglueNd{Gz?keypoint_detector_configr hidden_sizekeypoint_encoder_sizesgnn_layers_typesnum_attention_headssinkhorn_iterationsmatching_thresholdinitializer_rangec  B||nddgdz|_td|jDstd||zdkrtd||ngd|_||_||_||_||_||_||_t|tr1| d d |d <t|d d i|}|td }||_ ||_ d|_d |_t!jd i| dS) Nselfcross c3K|]}|dvV dS))rrN).0 layer_types /home/jaya/work/projects/VOICE-AGENT/VIET/agent-env/lib/python3.11/site-packages/transformers/models/superglue/configuration_superglue.py z+SuperGlueConfig.__init__..Vs([[z:!22[[[[[[z5All gnn_layers_types must be either 'self' or 'cross'rz8hidden_size % num_attention_heads is different from zero) @r model_type superpointFr )rall ValueErrorrrrrr isinstancedictgetr rrattention_probs_dropout_prob is_decodersuper__init__) rrrrrrrrrkwargs __class__s r#r3zSuperGlueConfig.__init__Hs|5E4P 0 0W]_fVgjkVk[[TEZ[[[[[ VTUU U , , 1 1WXX X'=&H " "N`N`N` #'&<# 0#6 #6 "4 . 5 5 5M5Q5QR^`l5m5m $\ 2'56N|6\']((*(( $ $ +'5l'C'E'E $(@%!2,-)""6"""""r%c.dt|jiS)Nr)typer)rs r# sub_configszSuperGlueConfig.sub_configsus*D1N,O,OPPr%)NrNNrrrr)__name__ __module__ __qualname____doc__r)intrliststrfloatr3propertyr8 __classcell__)r5s@r#r r s((TJ8<6:04#$#&$'#'+#+#"4+#+#!)c 3 +# #49- +# ! +#!+#"+#!+#+#+#+#+#+#ZQQXQQQQQr%r N)typingrrconfiguration_utilsrutilsrautor r*r get_loggerr9loggerr __all__r r%r#rJs+*******333333!!!!!!.------  H % %\Q\Q\Q\Q\Q&\Q\Q\Q~  r%