- Removed redundant imports of `torch` and `numpy` in `OmniProcessor` class. - Improved comments in `parse_singleton_prompt_omni` function for clarity on token handling. - Ensured `current_platform` is imported only once for better code organization.
21 lines
1.1 KiB
Python
21 lines
1.1 KiB
Python
from vllm.inputs.parse import ParsedSingletonPrompt, ParsedStrPrompt, ParsedEmbedsPrompt, ParsedTokensPrompt, ParsedTextPrompt
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from vllm.inputs.data import SingletonPrompt
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def parse_singleton_prompt_omni(prompt: SingletonPrompt) -> ParsedSingletonPrompt:
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if isinstance(prompt, str):
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return ParsedStrPrompt(type="str", content=prompt)
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elif isinstance(prompt, dict):
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# Type ignores are because mypy does not correctly infer the TypedDicts
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# Pyright does succeed.
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# Priority tokens: When both tokens and embeds exist, keep both and follow the tokens path
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if "prompt_token_ids" in prompt:
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return ParsedTokensPrompt(
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type="tokens", content=prompt) # type: ignore[typeddict-item]
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elif "prompt_embeds" in prompt:
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return ParsedEmbedsPrompt(
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type="embeds", content=prompt) # type: ignore[typeddict-item]
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elif "prompt" in prompt:
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return ParsedTextPrompt(type="text", content=prompt)
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raise TypeError(
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"inputs must be a string, TextPrompt, TokensPrompt, or EmbedsPrompt") |