sg=3dZddlmZmZddlmZddlmZmZm Z ddl m Z m Z m Z mZddlmZmZddlmZmZmZmZmZej0eZGd d e d Zd efdZdZGddeZGdde Z y)z Processor class for Pixtral. )ListUnion) BatchFeature) ImageInputis_valid_image load_image)ProcessingKwargsProcessorMixinUnpack!_validate_images_text_input_order)PreTokenizedInput TextInput)is_torch_deviceis_torch_dtypeis_torch_tensorloggingrequires_backendsc eZdZddiiddidZy)PixtralProcessorKwargspaddingFreturn_tensorspt) text_kwargs images_kwargs common_kwargsN)__name__ __module__ __qualname__ _defaultsa/var/www/html/venv/lib/python3.12/site-packages/transformers/models/pixtral/processing_pixtral.pyrrs$ u  d Ir"rF)totalreturncHt|txr|jdS)Nhttp) isinstancestr startswith)vals r#is_urlr,,s c3  :CNN6$::r"c2t|xs t|SN)r,r)elems r#is_image_or_image_urlr01s $< />$//r"ceZdZddZy)BatchMixFeaturec t|dgddl}i}|jd}|et|dkDrW|d}t |rnFt |t st|st |tr|}ntdt |d|jD]\}}t |tr9|D cgc]'} | D] } t| s| j|i|")c} } ||<Ot ||jr'|j|r|j|i|||<t ||jr||j|||<|||<||_|Scc} } w)a  Send all values to device by calling `v.to(*args, **kwargs)` (PyTorch only). This should support casting in different `dtypes` and sending the `BatchFeature` to a different `device`. Args: args (`Tuple`): Will be passed to the `to(...)` function of the tensors. kwargs (`Dict`, *optional*): Will be passed to the `to(...)` function of the tensors. Returns: [`BatchFeature`]: The same instance after modification. torchrNdevicez*Attempting to cast a BatchFeature to type z. This is not supported.)r5)rr4getlenrr(r)rint ValueErroritemslistrtoTensoris_floating_pointdata) selfargskwargsr4new_datar5argkvsampleelements r#r<zBatchMixFeature.to7sf $ *H% >c$i!mq'Cc"C%)=CQTAU!#McRUhZWo!pqqJJL DAq!T">?4:vDKYhipYqJGJJ/// Au||,1H1H1K"addD3F3 Au||,1Cdd&d1     s 7E& E&N)r%r2)rrrr<r!r"r#r2r26s.r"r2c eZdZdZddgZgdZdZdZ ddeffd Z dd e d e e e ee ee fd eed efd ZdZdZedZxZS)PixtralProcessora Constructs a Pixtral processor which wraps a Pixtral image processor and a Pixtral tokenizer into a single processor. [`PixtralProcessor`] offers all the functionalities of [`CLIPImageProcessor`] and [`LlamaTokenizerFast`]. See the [`~PixtralProcessor.__call__`] and [`~PixtralProcessor.decode`] for more information. Args: image_processor ([`PixtralImageProcessor`], *optional*): The image processor is a required input. tokenizer ([`LlamaTokenizerFast`], *optional*): The tokenizer is a required input. patch_size (`int`, *optional*, defaults to 16): Patch size from the vision tower. chat_template (`str`, *optional*): A Jinja template which will be used to convert lists of messages in a chat into a tokenizable string. image_token (`str`, *optional*, defaults to `"[IMG]"`): Special token used to denote image location. image_break_token (`str`, *optional*, defaults to `"[IMG_BREAK]"`): Special token used to denote the end of a line of pixels in an image. image_end_token (`str`, *optional*, defaults to `"[IMG_END]"`): Special token used to denote the end of an image input. image_processor tokenizer) chat_template patch_size image_tokenimage_break_tokenimage_end_tokenAutoImageProcessor AutoTokenizerrNc b||_||_||_||_t ||||y)N)rM)rNrOrPrQsuper__init__) r@rKrLrNrMrOrPrQrB __class__s r#rVzPixtralProcessor.__init__s8%&!2. )=Qr"imagestextrBr%c t||\}}|jtfd|jji|}|t |r|gg}nt |tr3t |dr%t |tr|Dcgc]}|g}}nD|g}n@t |tr%t |dtrt |ddrn td|Dcgc]}|Dcgc] }t|c}}}}|j|fd|ji|d} ni} t |tr|g}n.t |tst |dts td|} | jd/| d}| jd} g} t|| |D]\} } }g}t| | D]\}}|\}}||jz}||jz}|j g|z|j"gzg|z}|Dcgc] }|D]}| }}}|j$|d <d j'|}|j)||j+|j d d }d |vr)|jd}|j+d |d }d |vr)| j)| |j| fi|d }t-i|| Scc}wcc}wcc}}wcc}}w)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 LlamaTokenizerFast's [`~LlamaTokenizerFast.__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 doctsring of the above two methods for more information. Args: images (`PIL.Image.Image`, `np.ndarray`, `torch.Tensor`, `List[PIL.Image.Image]`, `List[np.ndarray]`, `List[torch.Tensor]`): 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 (`str`, `List[str]`, `List[List[str]]`): 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: [`BatchFeature`]: A [`BatchFeature`] 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`. tokenizer_init_kwargsrzdInvalid input images. Please provide a single image, a list of images, or a list of lists of images.rNrzAInvalid input text. Please provide a string, or a list of strings pixel_values image_sizesz r)r?)r _merge_kwargsrrL init_kwargsr0r(r;r9r rKrNr)r6popziprOrPrQjoinappendreplacer2)r@rXrYaudiovideosrB output_kwargsimrG image_inputsprompt_stringsr] sample_imagessample_image_sizesreplace_stringsimage image_sizeheightwidthnum_height_tokensnum_width_tokensreplace_tokenssublistitem replace_str text_inputss r#__call__zPixtralProcessor.__call__s$R9F *** " "&.."<"<   $V,!(FD).CF1I.NdD)-34rrd4F4$XFFD)jD.INcdjkldmnodpNq zGMMF7"z"~7MFM/4//u4??uVcdsVtuLL dC 6DD$' 47C0H`a a   N + 7!.1F&**=9KN=@VZ=[ .9 16"$),]rsx4AAkkCaa   H % -U ;4; 0 /l/dsX~sXr"