o wi@s~dZddlmZddlmZddlmZmZmZddl m Z m Z m Z ddl mZGdd d ed d ZGd d d eZd gZdS)z( Image/Text processor class for AltCLIP )Union) ImageInput)ProcessingKwargsProcessorMixinUnpack) BatchEncodingPreTokenizedInput TextInput)deprecate_kwargc@seZdZiZdS)AltClipProcessorKwargsN)__name__ __module__ __qualname__ _defaultsrrk/home/ubuntu/sommelier/.venv/lib/python3.10/site-packages/transformers/models/altclip/processing_altclip.pyr sr F)totalc seZdZdZddgZdZdZedddddfd d Z dd e d e e e e e e e fdeedefddZddZddZeddZZS)AltCLIPProcessoraD Constructs a AltCLIP processor which wraps a CLIP image processor and a XLM-Roberta tokenizer into a single processor. [`AltCLIPProcessor`] offers all the functionalities of [`CLIPImageProcessor`] and [`XLMRobertaTokenizerFast`]. See the [`~AltCLIPProcessor.__call__`] and [`~AltCLIPProcessor.decode`] for more information. Args: image_processor ([`CLIPImageProcessor`], *optional*): The image processor is a required input. tokenizer ([`XLMRobertaTokenizerFast`], *optional*): The tokenizer is a required input. image_processor tokenizer)CLIPImageProcessorCLIPImageProcessorFast)XLMRobertaTokenizerXLMRobertaTokenizerFastfeature_extractorz5.0.0)old_nameversionnew_nameNcs2|durtd|durtdt||dS)Nz)You need to specify an `image_processor`.z"You need to specify a `tokenizer`.) ValueErrorsuper__init__)selfrr __class__rrr!2s zAltCLIPProcessor.__init__imagestextkwargsreturnc Ks|dur |dur td|dur|durtd|jtfd|jji|}|dur4|j|fi|d}|durC|j|fi|d}d|dvrQ|ddd} |dur`|dur`|j|d<|S|durf|Stt d i|| d S) a Main method to prepare for the model one or several sequences(s) and image(s). This method forwards the `text` and `kwargs` arguments to XLMRobertaTokenizerFast's [`~XLMRobertaTokenizerFast.__call__`] if `text` is not `None` to encode the text. To prepare the image(s), this method forwards the `images` and `kwrags` arguments to CLIPImageProcessor's [`~CLIPImageProcessor.__call__`] if `images` is not `None`. Please refer to the docstring of the above two methods for more information. Args: images (`ImageInput`): The image or batch of images to be prepared. Each image can be a PIL image, NumPy array or PyTorch tensor. Both channels-first and channels-last formats are supported. text (`TextInput`, `PreTokenizedInput`, `list[TextInput]`, `list[PreTokenizedInput]`): The sequence or batch of sequences to be encoded. Each sequence can be a string or a list of strings (pretokenized string). If the sequences are provided as list of strings (pretokenized), you must set `is_split_into_words=True` (to lift the ambiguity with a batch of sequences). return_tensors (`str` or [`~utils.TensorType`], *optional*): If set, will return tensors of a particular framework. Acceptable values are: - `'tf'`: Return TensorFlow `tf.constant` objects. - `'pt'`: Return PyTorch `torch.Tensor` objects. - `'np'`: Return NumPy `np.ndarray` objects. - `'jax'`: Return JAX `jnp.ndarray` objects. Returns: [`BatchEncoding`]: A [`BatchEncoding`] with the following fields: - **input_ids** -- List of token ids to be fed to a model. Returned when `text` is not `None`. - **attention_mask** -- List of indices specifying which tokens should be attended to by the model (when `return_attention_mask=True` or if *"attention_mask"* is in `self.model_input_names` and if `text` is not `None`). - **pixel_values** -- Pixel values to be fed to a model. Returned when `images` is not `None`. Nz'You must specify either text or images.tokenizer_init_kwargs text_kwargs images_kwargsreturn_tensors common_kwargs pixel_values)data tensor_typer) r _merge_kwargsr r init_kwargsrpopr.rdict) r"r%r&audiovideosr' output_kwargsencodingimage_featuresr,rrr__call__;s.(  zAltCLIPProcessor.__call__cO|jj|i|S)z This method forwards all its arguments to XLMRobertaTokenizerFast's [`~PreTrainedTokenizer.batch_decode`]. Please refer to the docstring of this method for more information. )r batch_decoder"argsr'rrrr<zAltCLIPProcessor.batch_decodecOr;)z This method forwards all its arguments to XLMRobertaTokenizerFast's [`~PreTrainedTokenizer.decode`]. Please refer to the docstring of this method for more information. )rdecoder=rrrr@r?zAltCLIPProcessor.decodecCs"|jj}|jj}tt||S)N)rmodel_input_namesrlistr4fromkeys)r"tokenizer_input_namesimage_processor_input_namesrrrrAsz"AltCLIPProcessor.model_input_names)NN)NNNN)r rr__doc__ attributesimage_processor_classtokenizer_classr r!rrr r rBrr rr:r<r@propertyrA __classcell__rrr#rrs0   DrN)rFtypingr image_utilsrprocessing_utilsrrrtokenization_utils_baserr r utils.deprecationr r r__all__rrrrs    u