ó
    qyüiz  ã                   ód   • S r SSKJr  SSKJr  SSKJr  \" SS9\ " S S	\5      5       5       rS	/rg
)zT5 model configurationé    )Ústricté   )ÚPreTrainedConfig)Úauto_docstringzgoogle-t5/t5-small)Ú
checkpointc                   ó€  ^ • \ rS rSr% SrSrS/rSSSSS	.rS
r\	\
S'   Sr\	\
S'   Sr\	\
S'   Sr\	\
S'   Sr\	\
S'   Sr\	S-  \
S'   Sr\	\
S'   Sr\	\
S'   Sr\	\
S'   Sr\\	-  \
S'   Sr\\
S'   Sr\\
S'   Sr\\
S'   S r\\
S!'   S r\\
S"'   S#r\	S-  \
S$'   S%r\	\\	   -  S-  \
S&'   S'r\\	-  \
S('   S)r \\
S*'   U 4S+ jr!S, r"S-r#U =r$$ ).ÚT5Configé   a  
relative_attention_num_buckets (`int`, *optional*, defaults to 32):
    The number of buckets to use for each attention layer.
relative_attention_max_distance (`int`, *optional*, defaults to 128):
    The maximum distance of the longer sequences for the bucket separation.
feed_forward_proj (`string`, *optional*, defaults to `"relu"`):
    Type of feed forward layer to be used. Should be one of `"relu"` or `"gated-gelu"`. T5v1.1 uses the
    `"gated-gelu"` feed forward projection. Original T5 uses `"relu"`.
Út5Úpast_key_valuesÚd_modelÚ	num_headsÚ
num_layersÚd_kv)Úhidden_sizeÚnum_attention_headsÚnum_hidden_layersÚhead_dimi€}  Ú
vocab_sizei   é@   i   Úd_ffé   NÚnum_decoder_layersé   é    Úrelative_attention_num_bucketsé€   Úrelative_attention_max_distancegš™™™™™¹?Údropout_rateg�íµ ÷Æ°>Úlayer_norm_epsilong      ð?Úinitializer_factorÚreluÚfeed_forward_projTÚis_encoder_decoderÚ	use_cacher   Úpad_token_idé   Úeos_token_idg        Úclassifier_dropoutFÚ
is_decoderc                 óL  >• U R                   b  U R                   OU R                  U l         U R                  R                  S5      nUS   U l        US   S:H  U l        U R                  S:X  a  SU l        UR                  SS 5      SLU l        S	U l        [        TU ](  " S
0 UD6  g )NÚ-éÿÿÿÿr   Úgatedz
gated-geluÚgelu_newÚtie_word_embeddingsFT© )r   r   r#   ÚsplitÚdense_act_fnÚis_gated_actÚpopÚscale_decoder_outputsr0   ÚsuperÚ__post_init__)ÚselfÚkwargsÚact_infoÚ	__class__s      €Úd/home/mande/repo/quber/.venv/lib/python3.13/site-packages/transformers/models/t5/configuration_t5.pyr8   ÚT5Config.__post_init__@   s©   ø€ à'+×'>Ñ'>Ñ'JˆD×#Ò#ÐPT×P_ÑP_ð 	Ôð ×)Ñ)×/Ñ/°Ó4ˆØ$ R™LˆÔØ$ Q™K¨7Ñ2ˆÔð ×!Ñ! \Ó1Ø *ˆDÔð &,§Z¡ZÐ0EÀtÓ%LÐTYÐ%YˆÔ"Ø#'ˆÔ ä‰ÒÑ' Ó'ó    c                 óº   • U R                   R                  S5      n[        U5      S:”  a	  US   S:w  d  [        U5      S:”  a  [        SU R                    S35      eg)	zOPart of `@strict`-powered validation. Validates the architecture of the config.r,   r'   r   r.   é   z`feed_forward_proj`: z© is not a valid activation function of the dense layer. Please make sure `feed_forward_proj` is of the format `gated-{ACT_FN}` or `{ACT_FN}`, e.g. 'gated-gelu' or 'relu'N)r#   r2   ÚlenÚ
ValueError)r9   r;   s     r=   Úvalidate_architectureÚT5Config.validate_architectureW   sf   € à×)Ñ)×/Ñ/°Ó4ˆÜˆx‹=˜1Ó ¨!¡°Ó!7¼3¸x»=È1Ó;LÜØ'¨×(>Ñ(>Ð'?ð @)ð )óð ð <Mr?   )r3   r4   r   r6   r0   )%Ú__name__Ú
__module__Ú__qualname__Ú__firstlineno__Ú__doc__Ú
model_typeÚkeys_to_ignore_at_inferenceÚattribute_mapr   ÚintÚ__annotations__r   r   r   r   r   r   r   r   r   Úfloatr    r!   r#   Ústrr$   Úboolr%   r&   r(   Úlistr)   r*   r8   rD   Ú__static_attributes__Ú__classcell__)r<   s   @r=   r	   r	      s  ø‡ ñð €JØ#4Ð"5Ðà Ø*Ø)Øñ	€Mð €J�ÓØ€GˆSÓØ€Dˆ#ƒNØ€Dˆ#ÓØ€J�ÓØ%)Ð˜˜d™
Ó)Ø€IˆsÓØ*,Ð" CÓ,Ø+.Ð# SÓ.Ø #€L�%˜#‘+Ó#Ø $Ð˜Ó$Ø #Ð˜Ó#Ø#Ð�sÓ#Ø#Ð˜Ó#Ø€IˆtÓØ €L�#˜‘*Ó Ø+,€L�#˜˜S™	‘/ DÑ(Ó,Ø&)Ð˜ ™Ó)Ø€J�Óõ(÷.ð r?   r	   N)	rJ   Úhuggingface_hub.dataclassesr   Úconfiguration_utilsr   Úutilsr   r	   Ú__all__r1   r?   r=   Ú<module>rZ      sJ   ðñ å .å 3Ý #ñ Ð/Ñ0ØôGÐó Gó ó 1ðGðT ˆ,�r?   