mirror of
https://github.com/wassname/vllm.git
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76 lines
2.2 KiB
Python
76 lines
2.2 KiB
Python
from typing import List, Literal, Sequence, TypedDict, Union, overload
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from typing_extensions import TypeIs
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from vllm.utils import is_list_of
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from .data import (EncoderDecoderLLMInputs, ExplicitEncoderDecoderPrompt,
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LLMInputs, PromptInputs)
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class ParsedText(TypedDict):
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content: str
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is_tokens: Literal[False]
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class ParsedTokens(TypedDict):
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content: List[int]
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is_tokens: Literal[True]
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@overload
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def parse_and_batch_prompt(
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prompt: Union[str, List[str]]) -> Sequence[ParsedText]:
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...
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@overload
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def parse_and_batch_prompt(
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prompt: Union[List[int], List[List[int]]]) -> Sequence[ParsedTokens]:
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...
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def parse_and_batch_prompt(
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prompt: Union[str, List[str], List[int], List[List[int]]],
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) -> Union[Sequence[ParsedText], Sequence[ParsedTokens]]:
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if isinstance(prompt, str):
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# case 1: a string
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return [ParsedText(content=prompt, is_tokens=False)]
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if isinstance(prompt, list):
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if len(prompt) == 0:
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raise ValueError("please provide at least one prompt")
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if is_list_of(prompt, str):
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# case 2: array of strings
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return [
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ParsedText(content=elem, is_tokens=False) for elem in prompt
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]
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if is_list_of(prompt, int):
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# case 3: array of tokens
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return [ParsedTokens(content=prompt, is_tokens=True)]
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if is_list_of(prompt, list):
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if len(prompt[0]) == 0:
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raise ValueError("please provide at least one prompt")
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if is_list_of(prompt[0], int):
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# case 4: array of token arrays
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return [
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ParsedTokens(content=elem, is_tokens=True)
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for elem in prompt
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]
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raise ValueError("prompt must be a string, array of strings, "
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"array of tokens, or array of token arrays")
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def is_explicit_encoder_decoder_prompt(
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inputs: PromptInputs) -> TypeIs[ExplicitEncoderDecoderPrompt]:
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return isinstance(inputs, dict) and "encoder_prompt" in inputs
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def is_valid_encoder_decoder_llm_inputs(
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inputs: Union[LLMInputs, EncoderDecoderLLMInputs],
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) -> TypeIs[EncoderDecoderLLMInputs]:
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return "encoder_prompt_token_ids" in inputs
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