
    sg+'                         d Z ddlmZmZ ddlmZ ddlmZmZm	Z	 ddl
mZmZmZmZ ddlmZmZ ddlmZ  ej(                  e      Z G d	 d
ed      Z G d de      Zy)z
Processor class for Llava.
    )ListUnion   )BatchFeature)
ImageInputget_image_sizeto_numpy_array)ProcessingKwargsProcessorMixinUnpack!_validate_images_text_input_order)PreTokenizedInput	TextInput)loggingc                       e Zd Zddii dZy)LlavaProcessorKwargspaddingF)text_kwargsimages_kwargsN)__name__
__module____qualname__	_defaults     ]/var/www/html/venv/lib/python3.12/site-packages/transformers/models/llava/processing_llava.pyr   r      s     u
 	Ir   r   F)totalc            
            e Zd ZdZddgZg dZdZdZ	 	 	 	 	 	 	 d fd	Z	 	 	 	 dde	d	e
eeee   ee   f   d
ee   defdZd Zd Zed        Z xZS )LlavaProcessorak  
    Constructs a Llava processor which wraps a Llava image processor and a Llava tokenizer into a single processor.

    [`LlavaProcessor`] offers all the functionalities of [`CLIPImageProcessor`] and [`LlamaTokenizerFast`]. See the
    [`~LlavaProcessor.__call__`] and [`~LlavaProcessor.decode`] for more information.

    Args:
        image_processor ([`CLIPImageProcessor`], *optional*):
            The image processor is a required input.
        tokenizer ([`LlamaTokenizerFast`], *optional*):
            The tokenizer is a required input.
        patch_size (`int`, *optional*):
            Patch size from the vision tower.
        vision_feature_select_strategy (`str`, *optional*):
            The feature selection strategy used to select the vision feature from the vision backbone.
            Shoudl be same as in model's config
        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 `"<image>"`):
            Special token used to denote image location.
        num_additional_image_tokens (`int`, *optional*, defaults to 0):
            Number of additional tokens added to the image embeddings, such as CLS (+1). If the backbone has no CLS or other
            extra tokens appended, no need to set this arg.
    image_processor	tokenizer)chat_template
patch_sizevision_feature_select_strategyimage_tokennum_additional_image_tokensAutoImageProcessorAutoTokenizerc                     || _         || _        || _        t        |d      r|j                  n|| _        t
        	|   |||       y )Nr%   )r"   )r#   r&   r$   hasattrr%   super__init__)
selfr    r!   r#   r$   r"   r%   r&   kwargs	__class__s
            r   r,   zLlavaProcessor.__init__M   sJ     %+F(.L+4;I}4U900[f)=Qr   imagestextr.   returnc                 x   ||t        d      t        ||      \  }} | j                  t        fd| j                  j
                  i|}| | j                  |fi |d   }ni }t        |t              r|g}n.t        |t              st        |d   t              st        d      |}|j                  d      | j                  | j                  |d   }	t        t        |	d               \  }
}|
| j                  z  || j                  z  z  | j                  z   }| j                  dk(  r|| j                  z  }g }|D ]<  }|j!                  | j"                  | j"                  |z        }|j%                  |       > nt&        j)                  d        | j                  |fi |d	   }t+        i ||
      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 `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`.
        z7You have to specify at least one of `images` or `text`.tokenizer_init_kwargsr   r   zAInvalid input text. Please provide a string, or a list of stringspixel_valuesdefaulta  Expanding inputs for image tokens in LLaVa should be done in processing. Please add `patch_size` and `vision_feature_select_strategy` to the model's processing config or set directly with `processor.patch_size = {{patch_size}}` and processor.vision_feature_select_strategy = {{vision_feature_select_strategy}}`. Using processors without these attributes in the config is deprecated and will throw an error in v4.50.r   )data)
ValueErrorr   _merge_kwargsr   r!   init_kwargsr    
isinstancestrlistgetr#   r$   r   r	   r&   replacer%   appendloggerwarning_oncer   )r-   r0   r1   audiovideosr.   output_kwargsimage_inputsprompt_stringsr5   heightwidthnum_image_tokenssampletext_inputss                  r   __call__zLlavaProcessor.__call__^   s   N >dlVWW 9F*** 
"&.."<"<
 

 /4//Y-:XYLLdC 6DD$'
47C0H`aa N+7*t/R/R/^+N; .~l1o/N O$*doo$=T__,$44$5  66)C$(H(HH$!#" 2F#^^D,<,<d>N>NQa>abF"))&12 ##~ %dnn^T}]7ST!@K!@<!@AAr   c                 :     | j                   j                  |i |S )z
        This method forwards all its arguments to LlamaTokenizerFast's [`~PreTrainedTokenizer.batch_decode`]. Please
        refer to the docstring of this method for more information.
        )r!   batch_decoder-   argsr.   s      r   rO   zLlavaProcessor.batch_decode   s     
 +t~~**D;F;;r   c                 :     | j                   j                  |i |S )z
        This method forwards all its arguments to LlamaTokenizerFast's [`~PreTrainedTokenizer.decode`]. Please refer to
        the docstring of this method for more information.
        )r!   decoderP   s      r   rS   zLlavaProcessor.decode   s     
 %t~~$$d5f55r   c                     | j                   j                  }| j                  j                  }t        t        j                  ||z               S )N)r!   model_input_namesr    r=   dictfromkeys)r-   tokenizer_input_namesimage_processor_input_namess      r   rU   z LlavaProcessor.model_input_names   sA     !% @ @&*&:&:&L&L#DMM"7:U"UVWWr   )NNNNNz<image>r   )NNNN)r   r   r   __doc__
attributesvalid_kwargsimage_processor_classtokenizer_classr,   r   r   r   r   r   r   r   r   rM   rO   rS   propertyrU   __classcell__)r/   s   @r   r   r   (   s    2 $[1JL 1%O '+$%R& "^bVBVB I0$y/4HYCZZ[VB -.VB 
VBr<6 X Xr   r   N)rZ   typingr   r   feature_extraction_utilsr   image_utilsr   r   r	   processing_utilsr
   r   r   r   tokenization_utils_baser   r   utilsr   
get_loggerr   rA   r   r   r   r   r   <module>rh      sW     4 E E k k C  
		H	%+5 cX^ cXr   