bi ddlZddlmZmZddlmZmZddlmZddl m Z Gdde ejZ eGdd eZy) N) dataclassfield)OptionalUnion)PromptLearningConfig)PeftTypeceZdZdZdZy)PromptTuningInitTEXTRANDOMN)__name__ __module__ __qualname__r r [/home/cdr/jupyterlab/.venv/lib/python3.12/site-packages/peft/tuners/prompt_tuning/config.pyr r s D Frr ceZdZUdZeej ddiZeee fe d<edddiZ e e e d<eddd iZ e e e d <eddd iZe ee d <fd ZxZS)PromptTuningConfiga This is the configuration class to store the configuration of a [`PromptEmbedding`]. Args: prompt_tuning_init (Union[[`PromptTuningInit`], `str`]): The initialization of the prompt embedding. prompt_tuning_init_text (`str`, *optional*): The text to initialize the prompt embedding. Only used if `prompt_tuning_init` is `TEXT`. tokenizer_name_or_path (`str`, *optional*): The name or path of the tokenizer. Only used if `prompt_tuning_init` is `TEXT`. tokenizer_kwargs (`dict`, *optional*): The keyword arguments to pass to `AutoTokenizer.from_pretrained`. Only used if `prompt_tuning_init` is `TEXT`. helpz.How to initialize the prompt tuning parameters)defaultmetadataprompt_tuning_initNz[The text to use for prompt tuning initialization. Only used if prompt_tuning_init is `TEXT`prompt_tuning_init_textz`The tokenizer to use for prompt tuning initialization. Only used if prompt_tuning_init is `TEXT`tokenizer_name_or_pathzkThe keyword arguments to pass to `AutoTokenizer.from_pretrained`. Only used if prompt_tuning_init is `TEXT`tokenizer_kwargscbt|tj|_|j t jk(r@|js4tdt jjd|jd|j t jk(r@|j4tdt jjd|jd|jrE|j t jk7r'tdt jjdyy)NzWhen prompt_tuning_init='z#', tokenizer_name_or_path can't be .z$', prompt_tuning_init_text can't be z;tokenizer_kwargs only valid when using prompt_tuning_init='z'.) super __post_init__r PROMPT_TUNING peft_typerr r r ValueErrorvaluerr)self __class__s rrz PromptTuningConfig.__post_init__Gs# !//  # #'7'<'< r1sD (",sDII  :-: :r