fTh)SSKJrJrJr SSKJr SSKJr SSKJ r J r J r J r J r SSKJrJr "SS\ S S 9r"S S \ S S 9r"S S\ S S 9r"SS\ 5rS/rg))ListOptionalUnion) BatchFeature) ImageInput) ImagesKwargsProcessingKwargsProcessorMixin TextKwargsUnpack)PreTokenizedInput TextInputc \rSrSr%\\S'Srg)Emu3TextKwargsreturn_for_image_generationN)__name__ __module__ __qualname____firstlineno__bool__annotations____static_attributes__r`/var/www/auris/envauris/lib/python3.13/site-packages/transformers/models/emu3/processing_emu3.pyrrs!%%rrF)totalc*\rSrSr%\\S'\\S'Srg)Emu3ImagesKwargsratio image_arearN)rrrrstrrintrrrrr r s JOrr c>\rSrSr%\\S'\\S'SS0SSS.S .rS rg ) Emu3ProcessorKwargs" text_kwargs images_kwargsrFz1:1i)r"r#)r)r*rN) rrrrrrr _defaultsrrrrr'r'"s.## *5   Irr'c ^\rSrSrSrSS/rS/rSrSrSU4Sjjr SS \ \ S \ \ \ \\\ \\4S \\S \4S jjrSrS \ 4SjrSrSr\S5rSrU=r$) Emu3Processor0az Constructs a Emu3 processor which wraps a Emu3 image processor and a GPT2 tokenizer into a single processor. [`Emu3Processor`] offers all the functionalities of [`Emu3ImageProcessor`] and [`GPT2TokenizerFast`]. See the [`~Emu3Processor.__call__`] and [`~Emu3Processor.decode`] for more information. Args: image_processor ([`Emu3ImageProcessor`]): The image processor is a required input. tokenizer ([`Emu3TokenizerFast`]): The tokenizer is a required input. chat_template (`str`, *optional*): A Jinja template which will be used to convert lists of messages in a chat into a tokenizable string. image_processor tokenizer chat_template) GPT2TokenizerGPT2TokenizerFastEmu3ImageProcessorc >URUlURUlURUlURUlUR UlURUlURUl SUl [TU]1XUS9 g)N)r1) image_tokenimage_token_id boi_tokenimage_start_token eoi_tokenimage_end_tokenimage_wrapper_tokenfake_token_around_image eof_token bos_tokendownsample_ratiosuper__init__)selfr/r0r1kwargs __class__s rrCEmu3Processor.__init__Fs%00'66!*!4!4(22'0'D'D$",,",, ! =QrimagestextrEreturnc [U[5(aU/nO8[U[5(d#[US[5(d [S5eUR"[ 4SUR R0UD6nUSRSS5nUSRSS 5nUSRS S 5n U(aUb [S 5eU(dUcUc [S 5e0n URn URUR3n U(GdUGbUR"U40USD6n [U R5n /nUHnUR U;a[#U 5nUunnUUR$-nUUR$-nUUS --nU USUUR&SU-U 3nUR)UR US 5nUR*U3nUR U;aMUR-U5 M UVs/sHoR)SUR 5PM nnOpU(aiUR/XUR$5unnU USUUR&3nUVs/sHoR*UU3PM nnUU//[1U5-U S'USRSS 5nUR "U40USD6nUR3UUS/S9 UR4"S0U D6 [7UUS9$s snfs snf)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 Emu3TokenizerFast's [`~Emu3TokenizerFast.__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 (`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`. rzAInvalid input text. Please provide a string, or a list of stringstokenizer_init_kwargsr)rFr*r"Nr#zGYou should not provide `images` when `return_for_image_generation=True`zOYou must provide either text or images when `return_for_image_generation=False`*z image_sizesreturn_tensorsimage) modalities)data tensor_typer) isinstancer$list TypeError _merge_kwargsr'r0 init_kwargspop ValueErrorr:r?r<r/iterrOr7nextrAr>replacer@appendcalculate_generate_sizelen_check_special_mm_tokensupdater)rDrHrIaudiovideosrE output_kwargsrr"r#image_featuresimage_start_tokensimage_end_tokensrOprompt_stringssample image_sizeheightwidthimage_seq_lengthimage_placeholder image_promptrPrSs r__call__Emu3Processor.__call__WsZT dC 6DD$'' 47C0H0H_` `**  "&.."<"<  '4M&B&F&FGdfk&l#o.227DA"?377 dK &6+=fg g*t|no o $ 6 67"nn-d.B.B-CD+v/A!11&[M/vhawtOkOkNlm|@PnPmQRbQc)d%#^^D,<,<>OQRSF $/x8F&&&0%%f-UccTb&NN?D4D4DETbDcD) 88DLaLabMFE01&5'$B^B^A_`LLPQD&~~&vh|n=DDQ.4e_,=D ,IN= )'}599:JDQ~~dCmM&BC %%dDgY%G %n%>BB!d Rs %K=3Lc[[URS55upEXE-nX&- S-n[[XW-U- 55n[[XG-U- 55n X4$)N:g?)mapr%splitround) rDr"r#spatial_factorrnrm current_area target_ratio token_height token_widths rr`%Emu3Processor.calculate_generate_sizesdCS!12 ~ "1c9 5!6!GHI % 4~ EFG ((rc <URR"U40UD6$N)r/ postprocess)rDrHrEs rrEmu3Processor.postprocesss##//A&AArc:URR"U0UD6$)z This method forwards all its arguments to Emu3TokenizerFast's [`~PreTrainedTokenizer.batch_decode`]. Please refer to the docstring of this method for more information. )r0 batch_decoderDargsrEs rrEmu3Processor.batch_decodes ~~**D;F;;rc:URR"U0UD6$)z This method forwards all its arguments to Emu3TokenizerFast's [`~PreTrainedTokenizer.decode`]. Please refer to the docstring of this method for more information. )r0decoders rrEmu3Processor.decodes ~~$$d5f55rcURRnURRn[[R X-55$r)r0model_input_namesr/rVdictfromkeys)rDtokenizer_input_namesimage_processor_input_namess rrEmu3Processor.model_input_namess< $ @ @&*&:&:&L&L#DMM"7"UVWWr)r@rAr?r>r<r:r7r8r)NNNN)rrrr__doc__ attributes valid_kwargstokenizer_classimage_processor_classrCrrrrrrr r'rrrr`rrrpropertyrr __classcell__)rFs@rr-r-0s $[1J#$Lrsb")(2%bbC&Zu&|5 *% kXNkX\  r