o i@sfdZddlmZddlmZmZmZGdddeddZGd d d eddZGd d d eZ d gZ d S)z) Image/Text processor class for SigLIP2. )Optional) ImagesKwargsProcessingKwargsProcessorMixinc@s&eZdZUeeed<eeed<dS)Siglip2ImagesKwargsmax_num_patches patch_sizeN)__name__ __module__ __qualname__rint__annotations__rrk/home/ubuntu/veenaModal/venv/lib/python3.10/site-packages/transformers/models/siglip2/processing_siglip2.pyrs rF)totalc@s.eZdZUeed<dddddddd Zd S) Siglip2ProcessorKwargs images_kwargs max_lengthT@)padding truncationr)rr ) text_kwargsrN)r r r rr _defaultsrrrrrs  rcs4eZdZdZddgZdZdZeZfddZ Z S)Siglip2Processora! Constructs a Siglip2 processor which wraps a Siglip2 image processor and a Gemma tokenizer into a single processor. [`Siglip2Processor`] offers all the functionalities of [`Siglip2ImageProcessor`] and [`GemmaTokenizerFast`]. See the [`~Siglip2Processor.__call__`] and [`~Siglip2Processor.decode`] for more information. Args: image_processor ([`Siglip2ImageProcessor`]): The image processor is a required input. tokenizer ([`GemmaTokenizerFast`]): The tokenizer is a required input. image_processor tokenizerAutoImageProcessor AutoTokenizercst||dS)N)super__init__)selfrr __class__rrr"AszSiglip2Processor.__init__) r r r __doc__ attributesimage_processor_classtokenizer_classrvalid_processor_kwargsr" __classcell__rrr$rr-s rN) r&typingrprocessing_utilsrrrrrr__all__rrrrs