class_docstr: Data associated with a sequence.
  
  
  Args:
      prompt_token_ids: The token IDs of the prompt.
  
  Attributes:
      prompt_token_ids: The token IDs of the prompt.
      output_token_ids: The token IDs of the output.
      cumulative_logprob: The cumulative log probability of the output.
class_docstr_tok: ["Data","associated","with","a","sequence",".","Args",":","prompt_token_ids",":","The","token","IDs","of","the","prompt",".","Attributes",":","prompt_token_ids",":","The","token","IDs","of","the","prompt",".","output_token_ids",":","The","token","IDs","of","the","output",".","cumulative_logprob",":","The","cumulative","log","probability","of","the","output","."]
code: def __repr__(self) -> str:
      return (
          f"SequenceData("
          f"prompt_token_ids={self.prompt_token_ids}, "
          f"output_token_ids={self.output_token_ids}, "
          f"cumulative_logprob={self.cumulative_logprob})"
      )
  
imports: import copy
  import enum
  import time
  from typing import Dict, List, Optional, Union
  from bigdl.llm.vllm.sampling_params import SamplingParams
  from bigdl.llm.utils.common import invalidInputError
label_desc: Use image node_id 9 for calling the SequenceData obj's underlying member method code with example usage: obj.__repr__() and returns: str, self, str, self, str, self, str