o
    i                     @   s   d dl Z d dlmZ d dlmZ ddlmZ erddlmZ ddl	m
Z
mZmZmZmZ dd	lmZmZ e r;d dlZeeZG d
d deZdS )    N)TYPE_CHECKING)version   )HfQuantizer   )PreTrainedModel)is_auto_gptq_availableis_gptqmodel_availableis_optimum_availableis_torch_availablelogging)
GPTQConfigQuantizationConfigMixinc                       s   e Zd ZdZdZg dZdZdef fddZdd	 Z	dddZ
dd ZdddZdddZedefddZdddZ  ZS )GptqHfQuantizerz
    Quantizer of the GPTQ method - for GPTQ the quantizer support calibration of the model through
    `auto_gptq` or `gptqmodel` package. Quantization is done under the hood for users if they load a non-prequantized model.
    F)optimum	auto_gptq	gptqmodelNquantization_configc                    sD   t  j|fi | t stdddlm} || j | _	d S )NGLoading a GPTQ quantized model requires optimum (`pip install optimum`)r   )GPTQQuantizer)
super__init__r
   ImportErroroptimum.gptqr   	from_dictr   to_dict_optimumoptimum_quantizer)selfr   kwargsr   	__class__ _/home/ubuntu/LTX-2/.venv/lib/python3.10/site-packages/transformers/quantizers/quantizer_gptq.pyr   -   s
   zGptqHfQuantizer.__init__c                 O   s   t  stdt rt rtd t o"ttj	dtdkp%t }|s1t
j s1tdt s;t s;tdt rPttj	dtdk rPtdt rsttj	d	td
k sottj	dtdk rutdd S d S )Nr   z4Detected gptqmodel and auto-gptq, will use gptqmodelz	auto-gptqz0.4.2z2GPU is required to quantize or run quantize model.z|Loading a GPTQ quantized model requires gptqmodel (`pip install gptqmodel`) or auto-gptq (`pip install auto-gptq`) library. r   zYou need a version of auto_gptq >= 0.4.2 to use GPTQ: `pip install --upgrade auto-gptq` or use gptqmodel by `pip install gptqmodel>=1.4.3`.r   z1.4.3r   1.23.99zJThe gptqmodel version should be >= 1.4.3, optimum version should >= 1.24.0)r
   r   r   r	   loggerwarningr   parse	importlibmetadatatorchcudais_availableRuntimeError)r   argsr   gptq_supports_cpur!   r!   r"   validate_environment6   s6   
z$GptqHfQuantizer.validate_environmentdtypetorch.dtypereturnc                 C   s4   |d u rt j}td |S |t jkrtd |S )NzLLoading the model in `torch.float16`. To overwrite it, set `dtype` manually.zLWe suggest you to set `dtype=torch.float16` for better efficiency with GPTQ.)r)   float16r$   info)r   r0   r!   r!   r"   update_dtypeR   s   


zGptqHfQuantizer.update_dtypec                 C   sB   |d u rdt di}t s|ddt difv r|ddik |S )N cpur   )r)   devicer	   )r   
device_mapr!   r!   r"   update_device_mapZ   s
   z!GptqHfQuantizer.update_device_mapmodelr   c                 K   sb   |j jdkr
td| jr/ttjdtdkr#| j	|}d S | jj	|fi |}d S d S )N	input_idsz%We can only quantize pure text model.r   r#   )
r    main_input_namer,   pre_quantizedr   r&   r'   r(   r   convert_modelr   r;   r   r!   r!   r"   $_process_model_before_weight_loadingb   s   z4GptqHfQuantizer._process_model_before_weight_loadingc                 K   sV   | j r| j|}d S | jjd u r|j| j_| j|| jj t| j	 |j
_d S N)r>   r   post_init_modelr   	tokenizername_or_pathquantize_modelr   r   to_dictconfigr@   r!   r!   r"   #_process_model_after_weight_loadingm   s   
z3GptqHfQuantizer._process_model_after_weight_loadingc                 C      dS NTr!   )r   r!   r!   r"   is_trainablew   s   zGptqHfQuantizer.is_trainablec                 C   rJ   rK   r!   )r   safe_serializationr!   r!   r"   is_serializable{   s   zGptqHfQuantizer.is_serializable)r0   r1   r2   r1   )r;   r   rB   )__name__
__module____qualname____doc__requires_calibrationrequired_packagesr   r   r   r/   r5   r:   rA   rI   propertyboolrL   rN   __classcell__r!   r!   r   r"   r   #   s    	



r   )r'   typingr   	packagingr   baser   modeling_utilsr   utilsr   r	   r
   r   r   utils.quantization_configr   r   r)   
get_loggerrO   r$   r   r!   r!   r!   r"   <module>   s   
