i-dZddlmZddlmZddlmZmZeje Z edeGdd eZ edeGd d eZ edeGd d eZ gdZy)zBlip model configuration)strict)PreTrainedConfig)auto_docstringloggingzSalesforce/blip-vqa-base) checkpointcbeZdZUdZdZdZdZeed<dZ eed<dZ eed<d Z eed <dZ eed <d Z eed <dZeed<dZeed<dZeed<dZeed<dZeezed<dZeezed<dZeed<dZedzed<dZeeezdzed<d Zedzed!<d"Zedzed#<d$Zeed%<d$Zeed&<dZeed'<y)(BlipTextConfigaq label_smoothing (float, *optional*): A float in [0.0, 1.0]. Specifies the amount of smoothing when computing the loss, where 0.0 means no smoothing. The targets become a mixture of the original ground truth and a uniform distribution as described in `Rethinking the Inception Architecture for Computer Vision `__. Default: :math:`0.0`. Example: ```python >>> from transformers import BlipTextConfig, BlipTextModel >>> # Initializing a BlipTextConfig with Salesforce/blip-vqa-base style configuration >>> configuration = BlipTextConfig() >>> # Initializing a BlipTextModel (with random weights) from the Salesforce/blip-vqa-base style configuration >>> model = BlipTextModel(configuration) >>> # Accessing the model configuration >>> configuration = model.config ```blip_text_model text_configi>> from transformers import BlipVisionConfig, BlipVisionModel >>> # Initializing a BlipVisionConfig with Salesforce/blip-vqa-base style configuration >>> configuration = BlipVisionConfig() >>> # Initializing a BlipVisionModel (with random weights) from the Salesforce/blip-vqa-base style configuration >>> model = BlipVisionModel(configuration) >>> # Accessing the model configuration >>> configuration = model.config ```blip_vision_model vision_configrrrrrrrrri image_size patch_sizerrgh㈵>rrattention_dropoutg|=r!N)r+r,r-r.r/r0rr1r2rrrrr>r5tupler@rr3rr4rAr!r7r8r9r;r;Js %J%OK!s!NCs!!47Jd3i%S/1746Jd3i%S/16J NE %(us{($u$r8r;ceZdZUdZdZeedZdZe e zdze d<dZ e e zdze d<dZ ee d<d Zee d <d Zee d <d Zee d<dZee d<dZee d<dZee d<fdZxZS) BlipConfiga' image_text_hidden_size (`int`, *optional*, defaults to 256): Dimensionality of the hidden state of the image-text fusion layer. label_smoothing (float, *optional*): A float in [0.0, 1.0]. Specifies the amount of smoothing when computing the loss, where 0.0 means no smoothing. The targets become a mixture of the original ground truth and a uniform distribution as described in `Rethinking the Inception Architecture for Computer Vision `__. Default: :math:`0.0`. Example: ```python >>> from transformers import BlipConfig, BlipModel >>> # Initializing a BlipConfig with Salesforce/blip-vqa-base style configuration >>> configuration = BlipConfig() >>> # Initializing a BlipPModel (with random weights) from the Salesforce/blip-vqa-base style configuration >>> model = BlipModel(configuration) >>> # Accessing the model configuration >>> configuration = model.config >>> # We can also initialize a BlipConfig from a BlipTextConfig and a BlipVisionConfig >>> # Initializing a BLIPText and BLIPVision configuration >>> config_text = BlipTextConfig() >>> config_vision = BlipVisionConfig() >>> config = BlipConfig(text_config=config_text, vision_config=config_vision) ```blip)r r=Nr r=rrg/L F@logit_scale_init_valueimage_text_hidden_sizerr*Ttie_word_embeddingsg?initializer_factorr r!c |j%t|_tjdn4t |jt rtdi|j|_|j %t|_tjdn4t |j t rtdi|j |_|j j|j_ t|,di|y)NzO`text_config` is `None`. Initializing the `BlipTextConfig` with default values.zS`vision_config` is `None`. initializing the `BlipVisionConfig` with default values.r7) r r loggerinfo isinstancedictr=r;rrsuper __post_init__)selfkwargs __class__s r9rQzBlipConfig.__post_init__s    #-/D  KKi j (($ /-A0@0@AD     %!1!3D  KKm n **D 1!1!GD4F4F!GD /3/A/A/M/M, ''r8)r+r,r-r.r/r r; sub_configsr rOrr2r=rr1rFr4rHr*rIr6rJr!rQ __classcell__)rTs@r9rDrDms >J"0CSTK26K((4/648M4**T18NC$*E*"%C% OU $$ ###u#((r8rD)rDr r;N)r.huggingface_hub.dataclassesrconfiguration_utilsrutilsrr get_loggerr+rLr r;rD__all__r7r8r9r\s.3,   H %56,!%,!7,!^56%'%7%B56<(!<(7<(~ ?r8