`irdZddlmZmZddlmZddlmZddlm Z m Z m Z m Z ddl mZmZddlmZejeZd ZGd d e d ZGdde d ZGdde ZdgZdS)z Processor class for Janus. )OptionalUnion) BatchFeature) ImageInput)ProcessingKwargsProcessorMixin TextKwargsUnpack)PreTokenizedInput TextInput)loggingzYou are a helpful language and vision assistant. You are able to understand the visual content that the user provides, and assist the user with a variety of tasks using natural language. ceZdZUeed<dS)JanusTextKwargsgeneration_modeN)__name__ __module__ __qualname__str__annotations__~/home/jaya/work/projects/VOICE-AGENT/VIET/agent-env/lib/python3.11/site-packages/transformers/models/janus/processing_janus.pyrr%srrF)totalc.eZdZUeed<dddddidZdS) JanusProcessorKwargs text_kwargsFtext)paddingrreturn_tensorspt)r common_kwargsN)rrrrr _defaultsrrrrr)s;    #(VDD*D1IIIrrc eZdZdZddgZdZdZdfd Z dd ee e e e e e fd e e d eed efd Zd e fdZxZS)JanusProcessora7 Constructs a Janus processor which wraps a Janus Image Processor and a Llama tokenizer into a single processor. [`JanusProcessor`] offers all the functionalities of [`JanusImageProcessor`] and [`LlamaTokenizerFast`]. See the [`~JanusProcessor.__call__`] and [`~JanusProcessor.decode`] for more information. Args: image_processor ([`JanusImageProcessor`]): The image processor is a required input. tokenizer ([`LlamaTokenizerFast`]): 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. use_default_system_prompt (`str`, *optional*, defaults to `False`): Use default system prompt for Text Generation. image_processor tokenizerJanusImageProcessorLlamaTokenizerFastNFc d|_|j|_|j|_|j|_||_t|||dS)Ni@) chat_template) num_image_tokens image_token boi_tokenimage_start_token eoi_tokenimage_end_tokenuse_default_system_promptsuper__init__)selfr&r'r+r2kwargs __class__s rr4zJanusProcessor.__init__GsY #$0!*!4(2)B& )=QQQQQrrimagesr6returnc |jtfd|jji|}||t d|]t |t r|g}nDt |ttfrtd|Dst d|d d}g}|j |j |j zz|jz} |D]Y} | |j | } |jr|dkr t"| z} |d kr | |j z } || Z|j|fi|d} |$|d kr|jdd |i|d d | d <t)| 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 LlamaTokenizerFast's [`~LlamaTokenizerFast.__call__`] if `text` is not `None` to encode the text. To prepare the image(s), this method forwards the `images` and `kwargs` arguments to JanusImageProcessor's [`~JanusImageProcessor.__call__`] if `images` is not `None`. Please refer to the doctsring of the above two methods for more information. Args: 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). 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. 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_kwargsNz'You must specify either text or images.c3@K|]}t|tVdS)N) isinstancer).0ts r z*JanusProcessor.__call__..s-=_=_UVjC>P>P=_=_=_=_=_=_rzAInvalid input text. Please provide a string, or a list of stringsrrrimager8 images_kwargs pixel_values)datar) _merge_kwargsrr' init_kwargs ValueErrorr=rlisttupleallpopr/r-r,r1replacer2DEFAULT_SYSTEM_PROMPTappendr&r) r5rr8videosaudior6 output_kwargsrprompt_stringsone_img_tokenspromptrDs r__call__zJanusProcessor.__call__PsP+*   8<8R V\   rfsf#"""""""444444%%%%%%TTTTTTTTTTTTCCCCCCCC  H % %Nj+5pBpBpBpBpB^pBpBpBf  r