o wi@svdZddlZddlmZmZddlmZddlmZddl m Z m Z m Z m Z mZddlmZGd d d eZd gZdS) z& Image/Text processor class for FLAVA N)OptionalUnion) ImageInput)ProcessorMixin) BatchEncodingPaddingStrategyPreTokenizedInput TextInputTruncationStrategy) TensorTypec(s2eZdZdZddgZdZdZd*fdd Z         d+d ee d ee e e e e e e fdede eeefde eeefdeededeedeedeedeedeededededededee eeff$ddZd d!Zd"d#Zed$d%Zed&d'Zed(d)ZZS),FlavaProcessora Constructs a FLAVA processor which wraps a FLAVA image processor and a FLAVA tokenizer into a single processor. [`FlavaProcessor`] offers all the functionalities of [`FlavaImageProcessor`] and [`BertTokenizerFast`]. See the [`~FlavaProcessor.__call__`] and [`~FlavaProcessor.decode`] for more information. Args: image_processor ([`FlavaImageProcessor`], *optional*): The image processor is a required input. tokenizer ([`BertTokenizerFast`], *optional*): The tokenizer is a required input. image_processor tokenizerFlavaImageProcessor) BertTokenizerBertTokenizerFastNc sld}d|vrtdt|d}|dur|n|}|dur!td|dur)tdt|||j|_dS)Nfeature_extractorzhThe `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor` instead.z)You need to specify an `image_processor`.z"You need to specify a `tokenizer`.) warningswarn FutureWarningpop ValueErrorsuper__init__rcurrent_processor)selfrrkwargsr __class__g/home/ubuntu/sommelier/.venv/lib/python3.10/site-packages/transformers/models/flava/processing_flava.pyr,s  zFlavaProcessor.__init__TFrimagestextadd_special_tokenspadding truncation max_lengthstridepad_to_multiple_ofreturn_image_maskreturn_codebook_pixelsreturn_token_type_idsreturn_attention_maskreturn_overflowing_tokensreturn_special_tokens_maskreturn_offsets_mapping return_lengthverbosereturn_tensorscKs|dur |dur td|dur(|jd|||||||| | | |||||d|}|dur9|j|f| | |d|}|durH|durH|||S|durN|Sttdi||dS)a  This method uses [`FlavaImageProcessor.__call__`] method to prepare image(s) for the model, and [`BertTokenizerFast.__call__`] to prepare text for the model. Please refer to the docstring of the above two methods for more information. Nz?You have to specify either text or images. Both cannot be none.)r#r$r%r&r'r(r)r,r-r.r/r0r1r2r3)r*r+r3)data tensor_typer )rrrupdaterdict)rr"r#r$r%r&r'r(r)r*r+r,r-r.r/r0r1r2r3rencodingimage_featuresr r r!__call__?sL zFlavaProcessor.__call__cO|jj|i|S)z This method forwards all its arguments to BertTokenizerFast's [`~PreTrainedTokenizer.batch_decode`]. Please refer to the docstring of this method for more information. )r batch_decoderargsrr r r!r<zFlavaProcessor.batch_decodecOr;)z This method forwards all its arguments to BertTokenizerFast's [`~PreTrainedTokenizer.decode`]. Please refer to the docstring of this method for more information. )rdecoder=r r r!r@r?zFlavaProcessor.decodecCs"|jj}|jj}tt||S)N)rmodel_input_namesrlistr7fromkeys)rtokenizer_input_namesimage_processor_input_namesr r r!rAsz FlavaProcessor.model_input_namescCtdt|jS)Nzg`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead.)rrrimage_processor_classrr r r!feature_extractor_class z&FlavaProcessor.feature_extractor_classcCrF)Nz[`feature_extractor` is deprecated and will be removed in v5. Use `image_processor` instead.)rrrrrHr r r!rrJz FlavaProcessor.feature_extractor)NN)NNTFFNrNNNNNFFFFTN)__name__ __module__ __qualname____doc__ attributesrGtokenizer_classrrrrr r rBboolstrrr intr r:r<r@propertyrArIr __classcell__r r rr!r s         D  r )rNrtypingrr image_utilsrprocessing_utilsrtokenization_utils_baserrr r r utilsr r __all__r r r r!s