qyiy*SrSSKJr SSKJr SSKJr SSKJr SSK J r J r \"S S 9\"S S \555r \"S S 9\"S S\555r \"S S 9\"SS\555r\"S S 9\"SS\555r\"S S 9\"SS\555r\"S S 9\"SS\555r\"S S 9\"SS\555r/SQrg)zSAM3 model configuration)strict)CLIPTextConfig)PreTrainedConfig)auto_docstring)CONFIG_MAPPING AutoConfigz facebook/sam3) checkpointc^\rSrSr%SrSrSrSr\\ S'Sr \\ S'S r \\ S 'S r \\ S 'S r \\ S'Sr\\\-\\\4-\ S'Sr\\\-\\\4-\ S'Sr\\ S'Sr\\ S'Sr\\-\ S'Sr\\ S'Sr\\ S'Sr\\S-\ S'Sr\S-\ S'S r\\\-\\\4-\ S!'Sr\\-\ S"'S#r\\ S$'U4S%jrS&rU=r $)' Sam3ViTConfiga  rope_theta (`float`, *optional*, defaults to 10000.0): Base frequency for RoPE. 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_model hidden_sizeiintermediate_size num_hidden_layersnum_attention_headsr num_channelsi image_size patch_sizegelu hidden_actư>layer_norm_epsattention_dropoutg@ rope_theta window_sizeNglobal_attn_indexeslayer_scale_init_valueiPpretrain_image_sizehidden_dropout{Gz?initializer_rangec T>[TU]"S0UD6 URc /SQUlgg)N))super __post_init__r%selfkwargs __class__s h/home/mande/repo/quber/.venv/lib/python3.13/site-packages/transformers/models/sam3/configuration_sam3.pyr2Sam3ViTConfig.__post_init__>s, ''  # # +'6D $ ,)r%)!__name__ __module__ __qualname____firstlineno____doc__base_config_key model_typerint__annotations__rrrrrlisttuplerrstrrfloatr!r"r$r%r&r'r(r*r2__static_attributes__ __classcell__r6s@r7r r s$ (O!JK!s!s!!L#48Jd3i%S/1846Jd3i%S/16J NE %(us{(JK,0cT)0+/EDL/=@tCy5c?:@"%NECK%#u#77r9r 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$)Sam3VisionConfigDa 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@rr0) rRrQ isinstancerdictgetr r1r2r3s r7r2Sam3VisionConfig.__post_init__^s595G5G5O1UYUgUg  & & .,/:SzB8*LD ' d**D 1 1151E1E1I1I,Xh1iD  .#1$2F2F|2T#U#mX\XlXl#mD  ! ! )#12B#C#ED  ''r9c.URR$)z"Image size for the vision encoder.rrr4s r7rSam3VisionConfig.image_sizeks##...r9c$XRlg)z-Set the image size and propagate to backbone.Nr[r4values r7rr]ps+0'r9)rrQrR)r:r;r<r=r>r?r@r sub_configsrrWrrBrPrArQrCrRrFrrErr*r2propertyrsetterrGrHrIs@r7rKrKDs&O$J:K7;OT,,t3:OS*.D4K.(,M4;%,J NE #u# (//00r9rKc\rSrSr%SrSrSr\\S'Sr \\S'Sr \\S 'S r \\S 'S r \ \-\S 'Sr\\S'Sr\ \-\S'Sr\ \S'Sr\\S'Sr\ \S'Srg)Sam3GeometryEncoderConfigvzW roi_size (`int`, *optional*, defaults to 7): ROI size for box pooling operations. sam3_geometry_encoderrOrr num_layersrr皙?dropoutrelurr r(rrr,roi_sizer)r*r0N)r:r;r<r=r>r@rrArBrhrrrlrFrrEr(rrnr*rGr0r9r7rerevs} )JKJ  !s!GUS[J"%NECK% NE Hc#u#r9rec\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_encoderrOrrhrirrjrrkrlrmrr r(rrr)r*r0N)r:r;r<r=r>r@rrArBrhrrrlrFrrEr(rr*rGr0r9r7rprpss %JKJ  !s!GUS[J"%NECK% NE #u#r9rpc\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_decoderrOrrsrh num_queriesrirrjrrkrlrmrr r(rrr)r*r0N)r:r;r<r=r>r@rrArBrhryrrrlrFrrEr(rr*rGr0r9r7rurus} %JKJK  !s!GUS[J"%NECK% NE #u#r9rucx\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_decoderrOrrnum_upsampling_stagesrrr rlrirr)r*r0N)r:r;r<r=r>r@rrArBr~rrFrlrr*rGr0r9r7r{r{sQ %JK!"3" NE GUS[  #u#r9r{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$) Sam3Configa geometry_encoder_config (`dict` or `Sam3GeometryEncoderConfig`, *optional*): Configuration for the geometry encoder. detr_encoder_config (`dict` or `Sam3DETREncoderConfig`, *optional*): Configuration for the DETR encoder. detr_decoder_config (`dict` or `Sam3DETRDecoderConfig`, *optional*): Configuration for the DETR decoder. mask_decoder_config (`dict` or `Sam3MaskDecoderConfig`, *optional*): Configuration for the mask decoder. Example: ```python >>> from transformers import Sam3Config, Sam3Model >>> # Initializing a SAM3 configuration >>> configuration = Sam3Config() >>> # Initializing a model from the configuration >>> model = Sam3Model(configuration) >>> # Accessing the model configuration >>> configuration = model.config ``` sam3T)rM text_configgeometry_encoder_configdetr_encoder_configdetr_decoder_configmask_decoder_configNrMrrrrrr)r*c 6>URc[5Ul[UR[5(a[S 0URD6UlURc[ S 0SSSSSSSSS .D6Ul[UR[5(a[ S 0URD6UlUR c[5Ul[UR [5(a[S 0UR D6UlURc[5Ul[UR[5(a[S 0URD6UlURc[5Ul [UR[5(a[S 0URD6Ul URc[5Ul [UR[5(a[S 0URD6Ul [TU]<"S 0UD6 g) Niriir#rrr) vocab_sizerrprojection_dimrrmax_position_embeddingsrr0)rMrKrVrWrrrrerrprrurr{r1r2r3s r7r2Sam3Config.__post_init__s    %!1!3D  d(($ / /!1!GD4F4F!GD     #- "'#')-&))++-/1"(  D  d&& - --A0@0@AD   ' ' /+D+FD ( d22D 9 9+D+dtGcGc+dD (  # # +'<'>D $ d.. 5 5'<'Xt?W?W'XD $  # # +'<'>D $ d.. 5 5'<'Xt?W?W'XD $  # # +'<'>D $ d.. 5 5'<'Xt?W?W'XD $ ''r9c.URR$)zImage size for the SAM3 model.rMrr\s r7rSam3Config.image_size$s!!,,,r9c$XRlg)z2Set the image size and propagate to vision config.Nrr_s r7rr)s).%r9)rrrrrrM)r:r;r<r=r>r@is_compositionrKrrerprur{rarMrWrrBrrrrrr*rFr2rbrrcrGrHrIs@r7rrs2JN)%#<444 K59M4**T1826K((4/6>BT$44t;B:> 0047>:> 0047>:> 0047>#u#*(X--..r9r)rr rKrerprur{N)r>huggingface_hub.dataclassesr transformersrconfiguration_utilsrutilsrautor r r rKrerprur{r__all__r0r9r7rsE.'3#-?+&7$&7,&7R?+-0'-0,-0`?+$ 0$,$(?+$,$,$&?+$,$,$(?+ $, $, $ ?+a.!a.,a.H r9