82 lines
2.8 KiB
Python
82 lines
2.8 KiB
Python
from typing import Dict, List
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from cacheflow.sequence import SequenceGroup
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class CompletionOutput:
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def __init__(
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self,
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index: int,
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text: str,
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token_ids: List[int],
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cumulative_logprob: float,
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logprobs: List[Dict[int, float]],
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) -> None:
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self.index = index
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self.text = text
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self.token_ids = token_ids
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self.cumulative_logprob = cumulative_logprob
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self.logprobs = logprobs
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def __repr__(self) -> str:
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return (f"CompletionOutput(index={self.index}, "
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f"text={self.text!r}, "
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f"token_ids={self.token_ids}, "
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f"cumulative_logprob={self.cumulative_logprob}, "
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f"logprobs={self.logprobs})")
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class RequestOutput:
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def __init__(
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self,
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request_id: int,
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prompt: str,
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prompt_token_ids: List[int],
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outputs: List[CompletionOutput],
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done: bool = False,
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) -> None:
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self.request_id = request_id
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self.prompt = prompt
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self.prompt_token_ids = prompt_token_ids
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self.outputs = outputs
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self.done = done
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@staticmethod
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def from_seq_group(seq_group: SequenceGroup) -> "RequestOutput":
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# Get the top-n sequences.
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n = seq_group.sampling_params.n
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seqs = seq_group.get_seqs()
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assert n <= len(seqs)
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sorted_seqs = sorted(
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seqs, key=lambda seq: seq.get_cumulative_logprob(), reverse=True)
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top_n_seqs = sorted_seqs[:n]
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# Create the outputs.
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outputs: List[CompletionOutput] = []
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for seq in top_n_seqs:
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logprobs = seq.output_logprobs
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if seq_group.sampling_params.logprobs == 0:
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# NOTE: We need to take care of this case because the sequence
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# always has the logprobs of the sampled tokens even if the
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# logprobs are not requested.
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logprobs = {}
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output = CompletionOutput(seqs.index(seq), seq.output_text,
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seq.get_output_token_ids(),
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seq.get_cumulative_logprob(), logprobs)
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outputs.append(output)
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# Every sequence in the sequence group should have the same prompt.
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prompt = top_n_seqs[0].prompt
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prompt_token_ids = top_n_seqs[0].data.prompt_token_ids
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return RequestOutput(seq_group.request_id, prompt, prompt_token_ids,
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outputs, seq_group.is_finished())
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def __repr__(self) -> str:
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return (f"RequestOutput(request_id={self.request_id}, "
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f"prompt={self.prompt!r}, "
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f"prompt_token_ids={self.prompt_token_ids}, "
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f"outputs={self.outputs}, "
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f"done={self.done})")
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