>:j^SSKrSSKJrJr SSKJr SSKJr SSKJ r "SS\ \R5r \"SS \55r g) N) dataclassfield)Union)PromptLearningConfig)PeftTypec\rSrSrSrSrSrg)#PromptEncoderReparameterizationTypeMLPLSTMN)__name__ __module__ __qualname____firstlineno__r r __static_attributes__r X/home/mande/repo/quber/.venv/lib/python3.13/site-packages/peft/tuners/p_tuning/config.pyr r s C Drr c^\rSrSr%Sr\"\RSS0S9r\ \ \4\ S'\"SSS0S9r \ \ S '\"S SS 0S9r\ \ S '\"S SS0S9r\\ S'U4SjrSrU=r$)PromptEncoderConfiga This is the configuration class to store the configuration of a [`PromptEncoder`]. Args: encoder_reparameterization_type (Union[[`PromptEncoderReparameterizationType`], `str`]): The type of reparameterization to use. encoder_hidden_size (`int`): The hidden size of the prompt encoder. encoder_num_layers (`int`): The number of layers of the prompt encoder. encoder_dropout (`float`): The dropout probability of the prompt encoder. helpz(How to reparameterize the prompt encoder)defaultmetadataencoder_reparameterization_typeNz%The hidden size of the prompt encoderencoder_hidden_sizez*The number of layers of the prompt encoderencoder_num_layersgz!The dropout of the prompt encoderencoder_dropoutcL>[TU]5 [RUlg)N)super __post_init__rP_TUNING peft_type)self __class__s rr"!PromptEncoderConfig.__post_init__:s !**r)r$)rrrr__doc__rr r rrstr__annotations__rintrrfloatr"r __classcell__)r&s@rrrs X]377DEX#U30S+S%T %AB $FG#=>OU ++rr)enum dataclassesrrtypingr peft.configr peft.utilsrr)Enumr rr rrr4sD (,#tyy  +.+ +r