code: def enhance(
      self, prompt: str, config: PromptEnhanceConfig
  ) -> List[str]:
      input_ids = self.tokenizer(prompt, return_tensors="pt").input_ids
      input_ids = input_ids.to(self.device)
      kw = dict(
          do_sample=True,
          temperature=config.temperature,
          top_k=config.top_k,
          max_length=config.max_length,
          num_return_sequences=config.num_return_sequences,
          repetition_penalty=config.repitition_penalty,
          early_stopping=True,
      )
      if not config.comma_mode:
          kw.update(dict(penalty_alpha=0.6, no_repeat_ngram_size=1))
      outputs = self.model.generate(input_ids, **kw)
      return [
          self.tokenizer.decode(out, skip_special_tokens=True)
          for out in outputs
      ]
  
file_path: carefree-learn/cflearn/api/cv/third_party/prompt.py
imports: import torch
  from typing import List
  from typing import NamedTuple
label_desc: Use image node_id 3 for calling the PromptEnhanceAPI obj's underlying member method code with example usage: obj.enhance(prompt, config) and returns: unknown