§
    ‚ŠtjH  ã                   óD  — d dl mZ d dlZd dlmZ d dlmZ ddlmZ ddl	m
Z
mZ ddlmZ ddlmZmZ dd	lmZ dd
lmZ ddlmZmZ ddlmZmZmZ ddlmZ ddlmZ ddl m!Z!m"Z"m#Z# ddl$m%Z% ddl&m'Z'm(Z(m)Z)m*Z*m+Z+m,Z,m-Z-m.Z.m/Z/m0Z0m1Z1  e#j2        e3¦  «        Z4 e"d¬¦  «        e G d„ de¦  «        ¦   «         ¦   «         Z5 G d„ de.¦  «        Z6 G d„ de+¦  «        Z7 G d„ de/¦  «        Z8	 	 	 d7dej9        dej:        d ej:        d!ej:        d"ej:        dz  d#e;e<z  d$e;dz  d%e;dz  d&e=ej:        ej:        f         fd'„Z> G d(„ d)e'¦  «        Z? G d*„ d+e¦  «        Z@ G d,„ d-e-¦  «        ZA G d.„ d/e,¦  «        ZB G d0„ d1e(¦  «        ZC G d2„ d3e)¦  «        ZD G d4„ d5e*¦  «        ZEg d6¢ZFdS )8é    )ÚCallableN)Ústricté   )ÚACT2FN)ÚCacheÚDynamicCache)ÚPreTrainedConfig)Úcreate_causal_maskÚ!create_sliding_window_causal_mask)ÚFlashAttentionKwargs)ÚGradientCheckpointingLayer)ÚBaseModelOutputWithPastÚCausalLMOutputWithPast)ÚROPE_INIT_FUNCTIONSÚRopeParametersÚdynamic_rope_update)ÚALL_ATTENTION_FUNCTIONS)ÚUnpack)ÚTransformersKwargsÚauto_docstringÚlogging)Úmaybe_autocasté   )ÚGemmaAttentionÚGemmaForCausalLMÚGemmaForSequenceClassificationÚGemmaForTokenClassificationÚGemmaMLPÚ
GemmaModelÚGemmaPreTrainedModelÚGemmaRMSNormÚGemmaRotaryEmbeddingÚapply_rotary_pos_embÚ	repeat_kvzgoogle/gemma2-7b)Ú
checkpointc                   ó2  ‡ — e Zd ZU dZdZdgZddddddddœZdgdgfd	d
gd	gfd	gd	gfdœZdZe	e
d<   dZe	e
d<   dZe	e
d<   dZe	e
d<   dZe	e
d<   dZe	e
d<   dZe	e
d<   dZee
d<   dZe	e
d<   dZee
d<   d Zee
d!<   d"Zee
d#<   d$Ze	d%z  e
d&<   d'Ze	ee	         z  d%z  e
d(<   d)Ze	d%z  e
d*<   d"Zee
d+<   d%Zee z  d%z  e
d,<   d-Z!ee
d.<   d/Z"e	ez  d%z  e
d0<   dZ#e	e
d1<   d2Z$e	d%z  e
d3<   d%Z%ee         d%z  e
d4<   d5Z&ed%z  e
d6<   d7Z'ed%z  e
d8<   d%Z(ed%z  e
d9<   ˆ fd:„Z)d;„ Z*ˆ xZ+S )<ÚGemma2Configaœ  
    query_pre_attn_scalar (`float`, *optional*, defaults to 256):
        scaling factor used on the attention scores
    final_logit_softcapping (`float`, *optional*, defaults to 30.0):
        scaling factor when applying tanh softcapping on the logits.
    attn_logit_softcapping (`float`, *optional*, defaults to 50.0):
        scaling factor when applying tanh softcapping on the attention scores.
    use_bidirectional_attention (`bool`, *optional*):
        If True, the model will attend to all text tokens instead of using a causal mask.

    ```python
    >>> from transformers import Gemma2Model, Gemma2Config
    >>> # Initializing a Gemma2 gemma2-7b style configuration
    >>> configuration = Gemma2Config()
    >>> # Initializing a model from the gemma2-7b style configuration
    >>> model = Gemma2Model(configuration)
    >>> # Accessing the model configuration
    >>> configuration = model.config
    ```Úgemma2Úpast_key_valuesÚcolwiseÚrowwise)zlayers.*.self_attn.q_projzlayers.*.self_attn.k_projzlayers.*.self_attn.v_projzlayers.*.self_attn.o_projzlayers.*.mlp.gate_projzlayers.*.mlp.up_projzlayers.*.mlp.down_projÚ	input_idsÚinputs_embedsÚhidden_statesÚattention_mask)Úembed_tokensÚlayersÚnormi è Ú
vocab_sizei 	  Úhidden_sizei $  Úintermediate_sizeé   Únum_hidden_layersé   Únum_attention_headsé   Únum_key_value_headsé   Úhead_dimÚgelu_pytorch_tanhÚhidden_activationi    Úmax_position_embeddingsg{®Gáz”?Úinitializer_rangeg�íµ ÷Æ°>Úrms_norm_epsTÚ	use_cacher   NÚpad_token_idé   Úeos_token_idr   Úbos_token_idÚtie_word_embeddingsÚrope_parametersFÚattention_biasç        Úattention_dropoutÚquery_pre_attn_scalari   Úsliding_windowÚlayer_typesg      >@Úfinal_logit_softcappingg      I@Úattn_logit_softcappingÚuse_bidirectional_attentionc                 óŽ   •— | j         €#d„ t          | j        ¦  «        D ¦   «         | _          t          ¦   «         j        di |¤Ž d S )Nc                 ó@   — g | ]}t          |d z   dz  ¦  «        rdnd‘ŒS )rE   r   Úsliding_attentionÚfull_attention)Úbool)Ú.0Úis     úg/var/www/html/CA-Chatbot/venv/lib/python3.11/site-packages/transformers/models/gemma2/modular_gemma2.pyú
<listcomp>z.Gemma2Config.__post_init__.<locals>.<listcomp>{   sA   € ð  ð  ð  ØST¥t¨Q°©U°a©KÑ'8Ô'8ÐNÐ#Ð#Ð>Nð ð  ð  ó    © )rO   Úranger7   ÚsuperÚ__post_init__)ÚselfÚkwargsÚ	__class__s     €rZ   r`   zGemma2Config.__post_init__y   s^   ø€ ØÔÐ#ð ð  ÝX]Ð^bÔ^tÑXuÔXuð ñ  ô  ˆDÔð 	�‰ŒÔÐ'Ð' Ð'Ð'Ð'Ð'Ð'r\   c                 ól   — | j         | j        z  dk    r t          d| j         › d| j        › d�¦  «        ‚dS )zOPart of `@strict`-powered validation. Validates the architecture of the config.r   zThe hidden size (z6) is not a multiple of the number of attention heads (z).N)r4   r9   Ú
ValueError)ra   s    rZ   Úvalidate_architecturez"Gemma2Config.validate_architecture�   s[   € àÔ˜dÔ6Ñ6¸!Ò;Ð;Ýð7 DÔ$4ð 7ð 7ØÔ2ð7ð 7ð 7ñô ð ð <Ð;r\   ),Ú__name__Ú
__module__Ú__qualname__Ú__doc__Ú
model_typeÚkeys_to_ignore_at_inferenceÚbase_model_tp_planÚbase_model_pp_planr3   ÚintÚ__annotations__r4   r5   r7   r9   r;   r=   r?   Ústrr@   rA   ÚfloatrB   rC   rW   rD   rF   ÚlistrG   rH   rI   r   ÚdictrJ   rL   rM   rN   rO   rP   rQ   rR   r`   rf   Ú__classcell__©rc   s   @rZ   r'   r'   7   s   ø€ € € € € € ðð ð( €JØ#4Ð"5Ðà%.Ø%.Ø%.Ø%.Ø"+Ø )Ø"+ðð Ðð &˜¨Ð(9Ð:Ø#Ð%5Ð6¸Ð8IÐJØ!Ð" _Ð$5Ð6ðð Ðð €J�ÐÐÑØ€K�ÐÐÑØ!Ð�sÐ!Ð!Ñ!ØÐ�sÐÐÑØ Ð˜Ð Ð Ñ Ø Ð˜Ð Ð Ñ Ø€HˆcÐÐÑØ0Ð�sÐ0Ð0Ñ0Ø#'Ð˜SÐ'Ð'Ñ'Ø#Ð�uÐ#Ð#Ñ#Ø€L�%ÐÐÑØ€IˆtÐÐÑØ €L�#˜‘*Ð Ð Ñ Ø+,€L�#˜˜Sœ	‘/ DÑ(Ð,Ð,Ñ,Ø €L�#˜‘*Ð Ð Ñ Ø $Ð˜Ð$Ð$Ñ$Ø48€O�^ dÑ*¨TÑ1Ð8Ð8Ñ8Ø €N�DÐ Ð Ñ Ø,/Ð�s˜U‘{ TÑ)Ð/Ð/Ñ/Ø!$Ð˜3Ð$Ð$Ñ$Ø!%€N�C˜$‘JÐ%Ð%Ñ%Ø$(€K��c”˜TÑ!Ð(Ð(Ñ(Ø,0Ð˜U T™\Ð0Ð0Ñ0Ø+/Ð˜E D™LÐ/Ð/Ñ/Ø/3Ð ¨¡Ð3Ð3Ñ3ð(ð (ð (ð (ð (ðð ð ð ð ð ð r\   r'   c                   ó   — e Zd ZdS )ÚGemma2RMSNormN©rg   rh   ri   r]   r\   rZ   rx   rx   Š   ó   € € € € € Ø€Dr\   rx   c                   ó   ‡ — e Zd Zˆ fd„Zˆ xZS )Ú	Gemma2MLPc                 óx   •— t          ¦   «                              |¦  «         t          |j                 | _        d S ©N)r_   Ú__init__r   r?   Úact_fn©ra   Úconfigrc   s     €rZ   r   zGemma2MLP.__init__�   s.   ø€ Ý‰Œ×Ò˜Ñ Ô Ð Ý˜VÔ5Ô6ˆŒˆˆr\   )rg   rh   ri   r   ru   rv   s   @rZ   r|   r|   Ž   s8   ø€ € € € € ð7ð 7ð 7ð 7ð 7ð 7ð 7ð 7ð 7r\   r|   c                   ó\   — e Zd Zddefd„Z ej        ¦   «         ed„ ¦   «         ¦   «         ZdS )ÚGemma2RotaryEmbeddingNr‚   c                 ó¬  — t           j                             ¦   «          |j        | _        |j        | _        || _        | j        j        d         | _        | j	        }| j        dk    rt          | j                 } || j        |¦  «        \  }| _        |                      d|d¬¦  «         |                      d|                     ¦   «         d¬¦  «         d S )NÚ	rope_typeÚdefaultÚinv_freqF)Ú
persistentÚoriginal_inv_freq)ÚnnÚModuler   r@   Úmax_seq_len_cachedÚoriginal_max_seq_lenr‚   rI   r†   Úcompute_default_rope_parametersr   Úattention_scalingÚregister_bufferÚclone)ra   r‚   ÚdeviceÚrope_init_fnrˆ   s        rZ   r   zGemma2RotaryEmbedding.__init__•   sÇ   € Ý
Œ	×ÒÑÔÐØ"(Ô"@ˆÔØ$*Ô$BˆÔ!àˆŒàœÔ4°[ÔAˆŒØ!%Ô!EˆØŒ>˜YÒ&Ð&Ý.¨t¬~Ô>ˆLØ+7¨<¸¼ÀVÑ+LÔ+LÑ(ˆ�$Ô(à×Ò˜Z¨¸eÐÑDÔDÐDØ×ÒÐ0°(·.².Ñ2BÔ2BÈuÐÑUÔUÐUÐUÐUr\   c                 óN  — | j         d d d …d f                              ¦   «                              |j        d         dd¦  «                             |j        ¦  «        }|d d …d d d …f                              ¦   «         }t          |j        j        t          ¦  «        r|j        j        dk    r|j        j        nd}t          |d¬¦  «        5  |                     ¦   «         |                     ¦   «         z   
                    dd¦  «        }t          j        ||fd¬	¦  «        }|                     ¦   «         | j        z  }|                     ¦   «         | j        z  }	d d d ¦  «         n# 1 swxY w Y   |                     |j        ¬
¦  «        |	                     |j        ¬
¦  «        fS )Nr   éÿÿÿÿrE   ÚmpsÚcpuF)Údevice_typeÚenabledr   )Údim)Údtype)rˆ   rr   ÚexpandÚshapeÚtor“   Ú
isinstanceÚtyperq   r   Ú	transposeÚtorchÚcatÚcosr�   Úsinrœ   )
ra   ÚxÚposition_idsÚinv_freq_expandedÚposition_ids_expandedr™   ÚfreqsÚembr¥   r¦   s
             rZ   ÚforwardzGemma2RotaryEmbedding.forward¥   s·  € ð !œM¨$°°°°4¨-Ô8×>Ò>Ñ@Ô@×GÒGÈÔHZÐ[\ÔH]Ð_aÐcdÑeÔe×hÒhÐijÔiqÑrÔrÐØ ,¨Q¨Q¨Q°°a°a°a¨ZÔ 8× >Ò >Ñ @Ô @Ðå'1°!´(´-ÅÑ'EÔ'EÐkÈ!Ì(Ì-Ð[`ÒJ`ÐJ`�a”h”m�mÐfkˆÝ¨¸UÐCÑCÔCð 	5ð 	5Ø&×,Ò,Ñ.Ô.Ð1F×1LÒ1LÑ1NÔ1NÑN×YÒYÐZ[Ð]^Ñ_Ô_ˆEÝ”)˜U E˜N°Ð3Ñ3Ô3ˆCØ—'’'‘)”)˜dÔ4Ñ4ˆCØ—'’'‘)”)˜dÔ4Ñ4ˆCð		5ð 	5ð 	5ñ 	5ô 	5ð 	5ð 	5ð 	5ð 	5ð 	5ð 	5øøøð 	5ð 	5ð 	5ð 	5ð �vŠv˜AœGˆvÑ$Ô$ c§f¢f°1´7 fÑ&;Ô&;Ð;Ð;s   ÃBE&Å&E*Å-E*r~   )	rg   rh   ri   r'   r   r£   Úno_gradr   r­   r]   r\   rZ   r„   r„   ”   sh   € € € € € ðVð V˜|ð Vð Vð Vð Vð  €U„]�_„_Øð<ð <ñ Ôñ „_ð<ð <ð <r\   r„   rK   ÚmoduleÚqueryÚkeyÚvaluer/   ÚdropoutÚscalingÚsoftcapÚreturnc                 ól  — |€
| j         dz  }t          || j        ¦  «        }	t          || j        ¦  «        }
t          j        ||	                     dd¦  «        ¦  «        |z  }|�||z  }t          j        |¦  «        }||z  }|�||z   }t          j         	                    |dt          j
        ¬¦  «                             |j        ¦  «        }t          j                             ||| j        ¬¦  «        }t          j        ||
¦  «        }|                     dd¦  «                             ¦   «         }||fS )Nç      à¿r   r   r–   )r›   rœ   )ÚpÚtrainingrE   )r=   r$   Únum_key_value_groupsr£   Úmatmulr¢   Útanhr‹   Ú
functionalÚsoftmaxÚfloat32rŸ   rœ   r³   rº   Ú
contiguous)r¯   r°   r±   r²   r/   r³   r´   rµ   rb   Ú
key_statesÚvalue_statesÚattn_weightsÚattn_outputs                rZ   Úeager_attention_forwardrÆ   µ   s%  € ð €Ø”/ 4Ñ'ˆå˜3 Ô ;Ñ<Ô<€JÝ˜U FÔ$?Ñ@Ô@€Lå”<  z×';Ò';¸A¸qÑ'AÔ'AÑBÔBÀWÑL€LàÐØ# gÑ-ˆÝ”z ,Ñ/Ô/ˆØ# gÑ-ˆØÐ!Ø# nÑ4ˆõ ”=×(Ò(¨¸2ÅUÄ]Ð(ÑSÔS×VÒVÐW\ÔWbÑcÔc€LÝ”=×(Ò(¨¸È6Ì?Ð(Ñ[Ô[€LÝ”,˜|¨\Ñ:Ô:€KØ×'Ò'¨¨1Ñ-Ô-×8Ò8Ñ:Ô:€KØ˜Ð$Ð$r\   c                   óî   ‡ — e Zd Zdedefˆ fd„Z	 	 	 ddej        deej        ej        f         dz  dej        dz  de	dz  d	e
e         d
eej        ej        dz  eej                 dz  f         fd„Zˆ xZS )ÚGemma2Attentionr‚   Ú	layer_idxc                 óV  •— t          |d¦  «        r|j        |         nd | _        t          ¦   «                              ||¦  «         | j        j        | _        | j        j        | _        t          |dd¦  «         | _	        |j
        dz  | _        | j        dk    r|j        nd | _        d S )NrO   rR   Fr¸   rU   )ÚhasattrrO   Ú
layer_typer_   r   r‚   rQ   rL   ÚgetattrÚ	is_causalrM   r´   rN   ©ra   r‚   rÉ   rc   s      €rZ   r   zGemma2Attention.__init__Ø   s¥   ø€ Ý;BÀ6È=Ñ;YÔ;YÐc˜&Ô,¨YÔ7Ð7Ð_cˆŒå‰Œ×Ò˜ Ñ+Ô+Ð+Ø&*¤kÔ&HˆÔ#Ø!%¤Ô!>ˆÔÝ$ VÐ-JÈEÑRÔRÐRˆŒØÔ3°TÑ9ˆŒØ7;´ÐJ]Ò7]Ð7]˜fÔ3Ð3ÐcgˆÔÐÐr\   Nr.   Úposition_embeddingsr/   r)   rb   r¶   c                 ó:  — |j         d d…         }g |¢d‘| j        ‘R }|                      |¦  «                             |¦  «                             dd¦  «        }|                      |¦  «                             |¦  «                             dd¦  «        }	|                      |¦  «                             |¦  «                             dd¦  «        }
|\  }}t          ||	||¦  «        \  }}	|�|                     |	|
| j	        ¦  «        \  }	}
t          j        | j        j        t          ¦  «        } || ||	|
|f| j        r| j        nd| j        | j        | j        dœ|¤Ž\  }} |j        g |¢d‘R Ž                      ¦   «         }|                      |¦  «        }||fS )Nr–   rE   r   rK   )r³   r´   rN   rµ   )rž   r=   Úq_projÚviewr¢   Úk_projÚv_projr#   ÚupdaterÉ   r   Úget_interfacer‚   Ú_attn_implementationrÆ   rº   rL   r´   rN   rQ   ÚreshaperÁ   Úo_proj)ra   r.   rÐ   r/   r)   rb   Úinput_shapeÚhidden_shapeÚquery_statesrÂ   rÃ   r¥   r¦   Úattention_interfacerÅ   rÄ   s                   rZ   r­   zGemma2Attention.forwardâ   sÍ  € ð $Ô)¨#¨2¨#Ô.ˆØ8˜Ð8 bÐ8¨$¬-Ð8Ð8ˆà—{’{ =Ñ1Ô1×6Ò6°|ÑDÔD×NÒNÈqÐRSÑTÔTˆØ—[’[ Ñ/Ô/×4Ò4°\ÑBÔB×LÒLÈQÐPQÑRÔRˆ
Ø—{’{ =Ñ1Ô1×6Ò6°|ÑDÔD×NÒNÈqÐRSÑTÔTˆà&‰ˆˆSÝ#7¸ÀjÐRUÐWZÑ#[Ô#[Ñ ˆ�jàÐ&Ø'6×'=Ò'=¸jÈ,ÐX\ÔXfÑ'gÔ'gÑ$ˆJ˜å(?Ô(MØŒKÔ,Õ.Eñ)
ô )
Ðð %8Ð$7ØØØØØð%
ð /3¬mÐD�DÔ*Ð*ÀØ”LØÔ.ØÔ/ð%
ð %
ð ð%
ð %
Ñ!ˆ�\ð *�kÔ)Ð;¨;Ð;¸Ð;Ð;Ð;×FÒFÑHÔHˆØ—k’k +Ñ.Ô.ˆØ˜LÐ(Ð(r\   )NNN)rg   rh   ri   r'   ro   r   r£   ÚTensorÚtupler   r   r   r­   ru   rv   s   @rZ   rÈ   rÈ   ×   sú   ø€ € € € € ðh˜|ð h¸ð hð hð hð hð hð hð IMØ.2Ø(,ð()ð ()à”|ð()ð # 5¤<°´Ð#=Ô>ÀÑEð()ð œ tÑ+ð	()ð
  ™ð()ð Ð-Ô.ð()ð 
ˆuŒ|˜Uœ\¨DÑ0°%¸¼Ô2EÈÑ2LÐLÔ	Mð()ð ()ð ()ð ()ð ()ð ()ð ()ð ()r\   rÈ   c                   óð   ‡ — e Zd Zdedefˆ fd„Z	 	 	 	 ddej        deej        ej        f         dz  dej        dz  dej	        dz  d	e
dz  d
eej        eej        ej        f         dz  f         fd„Zˆ xZS )ÚGemma2DecoderLayerr‚   rÉ   c                 óÂ  •— t          ¦   «                              ¦   «          |j        | _        || _        t	          ||¬¦  «        | _        t          |¦  «        | _        t          |j        |j	        ¬¦  «        | _
        t          |j        |j	        ¬¦  «        | _        t          |j        |j	        ¬¦  «        | _        t          |j        |j	        ¬¦  «        | _        d S )N)r‚   rÉ   )Úeps)r_   r   r4   r‚   rÈ   Ú	self_attnr|   Úmlprx   rB   Úinput_layernormÚpost_attention_layernormÚpre_feedforward_layernormÚpost_feedforward_layernormrÏ   s      €rZ   r   zGemma2DecoderLayer.__init__  sÁ   ø€ Ý‰Œ×ÒÑÔÐØ!Ô-ˆÔØˆŒÝ(°À)ÐLÑLÔLˆŒÝ˜VÑ$Ô$ˆŒÝ,¨VÔ-?ÀVÔEXÐYÑYÔYˆÔÝ(5°fÔ6HÈfÔNaÐ(bÑ(bÔ(bˆÔ%å)6°vÔ7IÈvÔObÐ)cÑ)cÔ)cˆÔ&Ý*7¸Ô8JÐPVÔPcÐ*dÑ*dÔ*dˆÔ'Ð'Ð'r\   Nr.   rÐ   r/   r¨   r)   r¶   c           	      ó   — |}|                       |¦  «        } | j        d|||||dœ|¤Ž\  }}|                      |¦  «        }||z   }|}|                      |¦  «        }|                      |¦  «        }|                      |¦  «        }||z   }|S )N)r.   rÐ   r/   r¨   r)   r]   )rç   rå   rè   ré   ræ   rê   )	ra   r.   rÐ   r/   r¨   r)   rb   ÚresidualÚ_s	            rZ   r­   zGemma2DecoderLayer.forward  sÄ   € ð !ˆà×,Ò,¨]Ñ;Ô;ˆð *˜4œ>ð 
Ø'Ø 3Ø)Ø%Ø+ð
ð 
ð ð
ð 
Ñˆ�qð ×5Ò5°mÑDÔDˆØ  =Ñ0ˆà ˆØ×6Ò6°}ÑEÔEˆØŸš Ñ/Ô/ˆØ×7Ò7¸ÑFÔFˆØ  =Ñ0ˆàÐr\   )NNNN)rg   rh   ri   r'   ro   r   r£   rß   rà   Ú
LongTensorr   ÚFloatTensorr­   ru   rv   s   @rZ   râ   râ     s  ø€ € € € € ð
e˜|ð 
e¸ð 
eð 
eð 
eð 
eð 
eð 
eð IMØ.2Ø04Ø(,ðð à”|ðð # 5¤<°´Ð#=Ô>ÀÑEðð œ tÑ+ð	ð
 Ô&¨Ñ-ðð  ™ðð 
ˆuÔ  %¨Ô(9¸5Ô;LÐ(LÔ"MÐPTÑ"TÐTÔ	Uðð ð ð ð ð ð ð r\   râ   c                   ó   — e Zd ZdS )ÚGemma2PreTrainedModelNry   r]   r\   rZ   rñ   rñ   <  rz   r\   rñ   c                   ó²   ‡ — e Zd Zdefˆ fd„Z	 	 	 	 	 	 ddej        dz  dej        dz  dej        dz  dedz  dej	        dz  d	e
dz  d
ee         defd„Zˆ xZS )ÚGemma2Modelr‚   c                 óâ   •‡— t          ¦   «                              ‰¦  «         t          j        ˆfd„t	          ‰j        ¦  «        D ¦   «         ¦  «        | _        t          ‰¦  «        | _        d S )Nc                 ó0   •— g | ]}t          ‰|¦  «        ‘ŒS r]   )râ   )rX   rÉ   r‚   s     €rZ   r[   z(Gemma2Model.__init__.<locals>.<listcomp>D  s$   ø€ ÐdÐdÐd°yÕ ¨	Ñ2Ô2ÐdÐdÐdr\   )	r_   r   r‹   Ú
ModuleListr^   r7   r1   r„   Ú
rotary_embr�   s    `€rZ   r   zGemma2Model.__init__A  sf   øø€ Ý‰Œ×Ò˜Ñ Ô Ð Ý”mØdÐdÐdÐdÅEÈ&ÔJbÑDcÔDcÐdÑdÔdñ
ô 
ˆŒõ 0°Ñ7Ô7ˆŒˆˆr\   Nr,   r/   r¨   r)   r-   rC   rb   r¶   c           	      óØ  — |d u |d uz  rt          d¦  «        ‚|€|                      |¦  «        }|r|€t          | j        ¬¦  «        }|€V|�|                     ¦   «         nd}t          j        |j        d         |j        ¬¦  «        |z   }| 	                    d¦  «        }t          |x}	t          ¦  «        s&| j        ||||dœ}
t          d
i |
¤Žt          d
i |
¤Ždœ}	|}|                      ||¦  «        }t          | j        d | j        j        …         ¦  «        D ])\  }} ||f|	| j        j        |                  |||dœ|¤Ž}Œ*|                      |¦  «        }t)          ||¬	¦  «        S )Nz:You must specify exactly one of input_ids or inputs_embeds)r‚   r   rE   )r“   )r‚   r-   r/   r)   r¨   )rV   rU   )r/   rÐ   r¨   r)   )Úlast_hidden_stater)   r]   )re   r0   r   r‚   Úget_seq_lengthr£   Úarangerž   r“   Ú	unsqueezer    rt   r
   r   r÷   Ú	enumerater1   r7   rO   r2   r   )ra   r,   r/   r¨   r)   r-   rC   rb   Úpast_seen_tokensÚcausal_mask_mappingÚmask_kwargsr.   rÐ   rY   Údecoder_layers                  rZ   r­   zGemma2Model.forwardH  sæ  € ð ˜Ð -°tÐ";Ñ<ð 	[ÝÐYÑZÔZÐZàÐ Ø*.×*;Ò*;¸IÑ*FÔ*FˆMàð 	?˜Ð0Ý*°$´+Ð>Ñ>Ô>ˆOàÐØCRÐC^˜×=Ò=Ñ?Ô?Ð?ÐdeÐÝ œ<¨Ô(;¸AÔ(>À}ÔG[Ð\Ñ\Ô\Ð_oÑoˆLØ'×1Ò1°!Ñ4Ô4ˆLõ °Ð?Ð-ÅÑFÔFð 	ð œ+Ø!.Ø"0Ø#2Ø ,ðð ˆKõ #5Ð"CÐ"C°{Ð"CÐ"CÝ%FÐ%UÐ%UÈÐ%UÐ%Uð#ð #Ðð &ˆØ"Ÿošo¨m¸\ÑJÔJÐå )¨$¬+Ð6U¸¼Ô8UÐ6UÔ*VÑ WÔ Wð 	ð 	ÑˆAˆ}Ø)˜MØðà2°4´;Ô3JÈ1Ô3MÔNØ$7Ø)Ø /ðð ð ðð ˆMˆMð Ÿ	š	 -Ñ0Ô0ˆå&Ø+Ø+ð
ñ 
ô 
ð 	
r\   )NNNNNN)rg   rh   ri   r'   r   r£   rî   rß   r   rï   rW   r   r   r   r­   ru   rv   s   @rZ   ró   ró   @  sì   ø€ € € € € ð8˜|ð 8ð 8ð 8ð 8ð 8ð 8ð .2Ø.2Ø04Ø(,Ø26Ø!%ð;
ð ;
àÔ# dÑ*ð;
ð œ tÑ+ð;
ð Ô&¨Ñ-ð	;
ð
  ™ð;
ð Ô(¨4Ñ/ð;
ð ˜$‘;ð;
ð Ð+Ô,ð;
ð 
!ð;
ð ;
ð ;
ð ;
ð ;
ð ;
ð ;
ð ;
r\   ró   c                   óØ   ‡ — e Zd Zˆ fd„Z	 	 	 	 	 	 	 	 ddej        dz  dej        dz  dej        dz  dedz  dej        dz  d	ej        dz  d
e	dz  de
ej        z  dee         defd„Zˆ xZS )ÚGemma2ForCausalLMc                 óš   •— t          ¦   «                              |¦  «         t          |¦  «        | _        |                      ¦   «          d S r~   )r_   r   ró   ÚmodelÚ	post_initr�   s     €rZ   r   zGemma2ForCausalLM.__init__‡  s@   ø€ Ý‰Œ×Ò˜Ñ Ô Ð Ý  Ñ(Ô(ˆŒ
Ø�ŠÑÔÐÐÐr\   Nr   r,   r/   r¨   r)   r-   ÚlabelsrC   Úlogits_to_keeprb   r¶   c	           
      óÀ  —  | j         d||||||dœ|	¤Ž}
|
j        }t          |t          ¦  «        rt	          | d¦  «        n|}|                      |dd…|dd…f         ¦  «        }| j        j        �2|| j        j        z  }t          j	        |¦  «        }|| j        j        z  }d}|� | j
        ||| j        fi |	¤Ž}t          |||
j        |
j        |
j        ¬¦  «        S )a‚  
        Example:

        ```python
        >>> from transformers import AutoTokenizer, Gemma2ForCausalLM

        >>> model = Gemma2ForCausalLM.from_pretrained("google/gemma-2-9b")
        >>> tokenizer = AutoTokenizer.from_pretrained("google/gemma-2-9b")

        >>> prompt = "What is your favorite condiment?"
        >>> inputs = tokenizer(prompt, return_tensors="pt")

        >>> # Generate
        >>> generate_ids = model.generate(inputs.input_ids, max_length=30)
        >>> tokenizer.batch_decode(generate_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0]
        "What is your favorite condiment?"
        ```)r,   r/   r¨   r)   r-   rC   N)ÚlossÚlogitsr)   r.   Ú
attentionsr]   )r  rù   r    ro   ÚsliceÚlm_headr‚   rP   r£   r½   Úloss_functionr3   r   r)   r.   r  )ra   r,   r/   r¨   r)   r-   r  rC   r  rb   Úoutputsr.   Úslice_indicesr  r
  s                  rZ   r­   zGemma2ForCausalLM.forwardŒ  s%  € ð< ,6¨4¬:ð ,
ØØ)Ø%Ø+Ø'Øð,
ð ,
ð ð,
ð ,
ˆð  Ô1ˆå8BÀ>ÕSVÑ8WÔ8WÐk�˜~˜o¨tÑ4Ô4Ð4Ð]kˆØ—’˜m¨A¨A¨A¨}¸a¸a¸aÐ,?Ô@ÑAÔAˆØŒ;Ô.Ð:Ø˜dœkÔAÑAˆFÝ”Z Ñ'Ô'ˆFØ˜dœkÔAÑAˆFàˆØÐØ%�4Ô% f¨f°d´oÐPÐPÈÐPÐPˆDå%ØØØ#Ô3Ø!Ô/ØÔ)ð
ñ 
ô 
ð 	
r\   )NNNNNNNr   )rg   rh   ri   r   r£   rî   rß   r   rï   rW   ro   r   r   r   r­   ru   rv   s   @rZ   r  r  †  s	  ø€ € € € € ðð ð ð ð ð .2Ø.2Ø04Ø(,Ø26Ø*.Ø!%Ø-.ð;
ð ;
àÔ# dÑ*ð;
ð œ tÑ+ð;
ð Ô&¨Ñ-ð	;
ð
  ™ð;
ð Ô(¨4Ñ/ð;
ð Ô  4Ñ'ð;
ð ˜$‘;ð;
ð ˜eœlÑ*ð;
ð Ð+Ô,ð;
ð 
 ð;
ð ;
ð ;
ð ;
ð ;
ð ;
ð ;
ð ;
r\   r  c                   ó   — e Zd ZdS )ÚGemma2ForSequenceClassificationNry   r]   r\   rZ   r  r  Ê  rz   r\   r  c                   ó   — e Zd ZdS )ÚGemma2ForTokenClassificationNry   r]   r\   rZ   r  r  Î  rz   r\   r  )r'   r  ró   rñ   r  r  )rK   NN)GÚcollections.abcr   r£   Útorch.nnr‹   Úhuggingface_hub.dataclassesr   Úactivationsr   Úcache_utilsr   r   Úconfiguration_utilsr	   Úmasking_utilsr
   r   Úmodeling_flash_attention_utilsr   Úmodeling_layersr   Úmodeling_outputsr   r   Úmodeling_rope_utilsr   r   r   Úmodeling_utilsr   Úprocessing_utilsr   Úutilsr   r   r   Úutils.genericr   Úgemma.modeling_gemmar   r   r   r   r   r   r    r!   r"   r#   r$   Ú
get_loggerrg   Úloggerr'   rx   r|   r„   rŒ   rß   rr   ro   rà   rÆ   rÈ   râ   rñ   ró   r  r  r  Ú__all__r]   r\   rZ   ú<module>r)     sÅ  ðð %Ð $Ð $Ð $Ð $Ð $à €€€Ø Ð Ð Ð Ð Ð Ø .Ð .Ð .Ð .Ð .Ð .à !Ð !Ð !Ð !Ð !Ð !Ø .Ð .Ð .Ð .Ð .Ð .Ð .Ð .Ø 3Ð 3Ð 3Ð 3Ð 3Ð 3Ø RÐ RÐ RÐ RÐ RÐ RÐ RÐ RØ BÐ BÐ BÐ BÐ BÐ BØ 9Ð 9Ð 9Ð 9Ð 9Ð 9Ø OÐ OÐ OÐ OÐ OÐ OÐ OÐ Oðð ð ð ð ð ð ð ð ð ð
 6Ð 5Ð 5Ð 5Ð 5Ð 5Ø &Ð &Ð &Ð &Ð &Ð &Ø @Ð @Ð @Ð @Ð @Ð @Ð @Ð @Ð @Ð @Ø +Ð +Ð +Ð +Ð +Ð +ðð ð ð ð ð ð ð ð ð ð ð ð ð ð ð ð ð ð ð ð ð ð ð ð ð ð 
ˆÔ	˜HÑ	%Ô	%€ð €Ð-Ð.Ñ.Ô.ØðNð Nð Nð Nð NÐ#ñ Nô Nñ „ñ /Ô.ðNðb	ð 	ð 	ð 	ð 	�Lñ 	ô 	ð 	ð7ð 7ð 7ð 7ð 7�ñ 7ô 7ð 7ð<ð <ð <ð <ð <Ð0ñ <ô <ð <ðN Ø Ø ð%ð %ØŒIð%àŒ<ð%ð 
Œð%ð Œ<ð	%ð
 ”L 4Ñ'ð%ð �S‰[ð%ð �T‰\ð%ð �T‰\ð%ð ˆ5Œ<˜œÐ%Ô&ð%ð %ð %ð %ðD3)ð 3)ð 3)ð 3)ð 3)�nñ 3)ô 3)ð 3)ðl,ð ,ð ,ð ,ð ,Ð3ñ ,ô ,ð ,ð^	ð 	ð 	ð 	ð 	Ð0ñ 	ô 	ð 	ðC
ð C
ð C
ð C
ð C
�*ñ C
ô C
ð C
ðLA
ð A
ð A
ð A
ð A
Ð(ñ A
ô A
ð A
ðH	ð 	ð 	ð 	ð 	Ð&Dñ 	ô 	ð 	ð	ð 	ð 	ð 	ð 	Ð#>ñ 	ô 	ð 	ðð ð €€€r\   