class_docstr: This is the configuration class to store the configuration of a [`PrefixEncoder`].
  
  Args:
      encoder_hidden_size (`int`): The hidden size of the prompt encoder.
      prefix_projection (`bool`): Whether to project the prefix embeddings.
class_docstr_tok: ["This","is","the","configuration","class","to","store","the","configuration","of","a","[","`","PrefixEncoder","`","]",".","Args",":","encoder_hidden_size","(","`","int","`",")",":","The","hidden","size","of","the","prompt","encoder",".","prefix_projection","(","`","bool","`",")",":","Whether","to","project","the","prefix","embeddings","."]
code: def __post_init__(self):
      self.peft_type = PeftType.PREFIX_TUNING
  
imports: from dataclasses import dataclass, field
  from peft.config import PromptLearningConfig
  from peft.utils import PeftType
label_desc: Use image node_id 1 for calling the PrefixTuningConfig obj's underlying member method code with example usage: obj.__post_init__() without return types