j*SrSSKJr SSKJr SSKJr SSKJrJ r \"SS 9\"S S \555r \"SS 9\"S S \555r \"SS 9\"SS\555r \"SS 9\"SS\555r \"SS 9\"SS\555r\"SS 9\"SS\555r\"SS 9\"SS\555r/SQrg)zSAM3 model configuration)strict)PreTrainedConfig)auto_docstring)CONFIG_MAPPING AutoConfigz facebook/sam3) checkpointc^\rSrSr%SrSrSrSrSr\ \ S'Sr \ \ S 'S r \ \ S 'S r \ \ S 'Sr\ \ S'Sr\ \\ -\\ \ 4-\ S'Sr\ \\ -\\ \ 4-\ S'Sr\\ S'Sr\\ S'Sr\\ -\ S'Sr\ \ S'Sr\\ S-\ S'Sr\S-\ S'Sr\ \\ -\\ \ 4-\ S 'Sr\\ -\ S!'S"r\\ S#'Sr\S-\ S$'U4S%jr S&r!U=r"$)' Sam3ViTConfiga window_size (`int`, *optional*, defaults to 24): Window size for windowed attention. global_attn_indexes (`list[int]`, *optional*, defaults to `[7, 15, 23, 31]`): Indexes of layers with global attention. pretrain_image_size (`int`, *optional*, defaults to 336): Pretrained model image size for position embedding initialization. hidden_dropout (`float`, *optional*, defaults to 0.0): Dropout probability for hidden states. backbone_configsam3_vit_modelaxial hidden_sizeiintermediate_size num_hidden_layersnum_attention_headsr num_channelsi image_size patch_sizegelu hidden_actư>layer_norm_epsattention_dropout window_sizeNglobal_attn_indexeslayer_scale_init_valueiPpretrain_image_sizehidden_dropout{Gz?initializer_rangerope_parametersc R>URc /SQUl[TU]"S0UD6 g)N)r )r$super __post_init__selfkwargs __class__s ڹC:\Users\johnn\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.13_qbz5n2kfra8p0\LocalCache\local-packages\Python313\site-packages\transformers/models/sam3/configuration_sam3.pyr1Sam3ViTConfig.__post_init__;s'  # # +'6D $ '')r$)#__name__ __module__ __qualname____firstlineno____doc__base_config_key model_typedefault_rope_typerint__annotations__rrrrrlisttuplerrstrrfloatr!r#r$r%r&r'r)r*dictr1__static_attributes__ __classcell__r5s@r6r r s. (O!JK!s!s!!L#48Jd3i%S/1846Jd3i%S/16J NE %(us{(K,0cT)0+/EDL/=@tCy5c?:@"%NECK%#u##'OTD['((r8r c^\rSrSr%SrSrSrS\0rSr \ \ -S-\ S'Sr \\ S'Sr\S-\ S 'Sr\\S-\ S 'S r\\ S 'S r\\ S'Sr\\ S'U4Sjr\S5r\R4S5rSrU=r$)Sam3VisionConfigBa fpn_hidden_size (`int`, *optional*, defaults to 256): The hidden dimension of the FPN. backbone_feature_sizes (`List[List[int]]`, *optional*, defaults to `[[288, 288], [144, 144], [72, 72]]`): The spatial sizes (height, width) of the feature maps from the backbone at different scales. scale_factors (`list[float]`, *optional*, defaults to `[4.0, 2.0, 1.0, 0.5]`): Scale factors for FPN multi-scale features. List of scaling factors for each FPN level. vision_configsam3_vision_modelrNfpn_hidden_sizebackbone_feature_sizes scale_factorsrrrrr(r)c >URc/SQO URUlURcSS/SS/SS//Ul[UR[5(aUURR SS5URS'[ URS"S0URD6UlO URc[ S"5Ul[TU] "S0UD6 g)N)g@g@g?g?i Hr?rr/) rSrR isinstancerrGgetrr0r1r2s r6r1Sam3VisionConfig.__post_init__\s595G5G5O1UYUgUg  & & .,/:SzB8*LD ' d**D 1 1151E1E1I1I,Xh1iD  .#1$2F2F|2T#U#mX\XlXl#mD  ! ! )#12B#C#ED  ''r8c.URR$)z"Image size for the vision encoder.rrr3s r6rSam3VisionConfig.image_sizeis##...r8c$XRlg)z-Set the image size and propagate to backbone.Nr[r3values r6rr]ns+0'r8)rrRrS)r9r:r;r<r=r>r?r sub_configsrrGrrBrQrArRrCrSrFrrErr)r1propertyrsetterrHrIrJs@r6rLrLBs&O$J:K7;OT,,t3:OS*.D4K.(,M4;%,J NE #u# (//00r8rLc\rSrSr%SrSrSr\\S'Sr \\S'Sr \\S 'S r \\S 'S r \ \-\S 'Sr\\S'Sr\ \-\S'Sr\ \S'Sr\\S'Sr\ \S'Srg)Sam3GeometryEncoderConfigtzW roi_size (`int`, *optional*, defaults to 7): ROI size for box pooling operations. sam3_geometry_encoderrPrr num_layersrr皙?dropoutrelurr r'rrr,roi_sizer(r)r/N)r9r:r;r<r=r?rrArBrhrrrlrFrrEr'rrnr)rHr/r8r6rerets} )JKJ  !s!GUS[J"%NECK% NE Hc#u#r8rec\rSrSr%SrSrSr\\S'Sr \\S'Sr \\S 'S r \\S 'S r \ \-\S 'Sr\\S'Sr\ \-\S'Sr\ \S'Sr\ \S'Srg)Sam3DETREncoderConfigzc hidden_dropout (`float`, *optional*, defaults to 0.0): Dropout probability for hidden states. sam3_detr_encoderrPrrhrirrjrrkrlrmrr r'rrr(r)r/N)r9r:r;r<r=r?rrArBrhrrrlrFrrEr'rr)rHr/r8r6rprpss %JKJ  !s!GUS[J"%NECK% NE #u#r8rpc\rSrSr%SrSrSr\\S'Sr \\S'Sr \\S 'S r \\S 'S r \\S 'Sr \\-\S'Sr\\S'Sr\\-\S'Sr\\S'Sr\\S'Srg)Sam3DETRDecoderConfigzQ num_queries (`int`, *optional*, defaults to 200): Number of object queries. sam3_detr_decoderrPrrsrh num_queriesrirrjrrkrlrmrr r'rrr(r)r/N)r9r:r;r<r=r?rrArBrhryrrrlrFrrEr'rr)rHr/r8r6rurus} %JKJK  !s!GUS[J"%NECK% NE #u#r8rucx\rSrSr%SrSrSr\\S'Sr \\S'Sr \ \S 'S r \ \-\S 'S r \\S 'Sr\ \S'Srg)Sam3MaskDecoderConfigzw num_upsampling_stages (`int`, *optional*, defaults to 3): Number of upsampling stages in the pixel decoder (FPN). sam3_mask_decoderrPrrnum_upsampling_stagesrrr rlrirr(r)r/N)r9r:r;r<r=r?rrArBr~rrFrlrr)rHr/r8r6r{r{sQ %JK!"3" NE GUS[  #u#r8r{c&^\rSrSr%SrSrSr\\\ \ \ \ S.r Sr\\-S-\S'Sr\\-S-\S'Sr\\-S-\S 'Sr\\-S-\S 'Sr\\-S-\S 'Sr\\-S-\S 'S r\\S'U4Sjr\S5r\R8S5rSrU=r$) Sam3Configa geometry_encoder_config (`dict` or `Sam3GeometryEncoderConfig`, *optional*): Configuration for the geometry encoder. detr_encoder_config (`dict` or `Sam3DETREncoderConfig`, *optional*): Configuration for the DETR encoder. detr_decoder_config (`dict` or `Sam3DETRDecoderConfig`, *optional*): Configuration for the DETR decoder. mask_decoder_config (`dict` or `Sam3MaskDecoderConfig`, *optional*): Configuration for the mask decoder. Example: ```python >>> from transformers import Sam3Config, Sam3Model >>> # Initializing a SAM3 configuration >>> configuration = Sam3Config() >>> # Initializing a model from the configuration >>> model = Sam3Model(configuration) >>> # Accessing the model configuration >>> configuration = model.config ``` sam3T)rN text_configgeometry_encoder_configdetr_encoder_configdetr_decoder_configmask_decoder_configNrNrrrrrr(r)c z>URc[5Ul[UR[5(a[S 0URD6UlURc[ S"S 0SSSSSSSS S .D6Ul[UR[5(a8[ URR S S5"S 0URD6UlURc[5Ul[UR[5(a[S 0URD6UlURc[5Ul [UR[5(a[S 0URD6Ul URc[5Ul [UR[5(a[S 0URD6Ul URc[5Ul [UR[5(a[S 0URD6Ul [TU]@"S 0UD6 g) Nclip_text_modeliriir"rrr) vocab_sizerrprojection_dimrrmax_position_embeddingsrr?r/)rNrLrWrGrrrXrrerrprrurr{r0r1r2s r6r1Sam3Config.__post_init__s    %!1!3D  d(($ / /!1!GD4F4F!GD     #-.?@ "'#')-&))++-/1"(  D  d&& - --d.>.>.B.BD $ d.. 5 5'<'Xt?W?W'XD $  # # +'<'>D $ d.. 5 5'<'Xt?W?W'XD $  # # +'<'>D $ d.. 5 5'<'Xt?W?W'XD $ ''r8c.URR$)zImage size for the SAM3 model.rNrr\s r6rSam3Config.image_size$s!!,,,r8c$XRlg)z2Set the image size and propagate to vision config.Nrr_s r6rr)s).%r8)rrrrrrN)r9r:r;r<r=r?is_compositionrLr rerprur{rarNrGrrBrrrrrr)rFr1rbrrcrHrIrJs@r6rrs2JN)!#<444 K59M4**T1826K((4/6>BT$44t;B:> 0047>:> 0047>:> 0047>#u#,(\--..r8r)rr rLrerprur{N)r=huggingface_hub.dataclassesrconfiguration_utilsrutilsrautorr r rLrerprur{r__all__r/r8r6rsB.3#-?+&($&(,&(R?+-0'-0,-0`?+$ 0$,$(?+$,$,$&?+$,$,$(?+ $, $, $ ?+c.!c.,c.L r8