37 lines
1.2 KiB
Python
37 lines
1.2 KiB
Python
from dataclasses import dataclass
|
|
from typing import Optional
|
|
|
|
from vllm.v1.core.sched.output import NewRequestData
|
|
from vllm.v1.request import Request
|
|
|
|
from vllm_omni.engine import AdditionalInformationPayload, PromptEmbedsPayload
|
|
|
|
|
|
@dataclass
|
|
class OmniNewRequestData(NewRequestData):
|
|
# Optional serialized prompt embeddings
|
|
prompt_embeds: Optional[PromptEmbedsPayload] = None
|
|
# Optional serialized additional information
|
|
additional_information: Optional[AdditionalInformationPayload] = None
|
|
|
|
@classmethod
|
|
def from_request(
|
|
cls,
|
|
request: Request,
|
|
block_ids: tuple[list[int], ...],
|
|
) -> "OmniNewRequestData":
|
|
return cls(
|
|
req_id=request.request_id,
|
|
prompt_token_ids=request.prompt_token_ids,
|
|
mm_inputs=request.mm_inputs,
|
|
mm_hashes=request.mm_hashes,
|
|
mm_positions=request.mm_positions,
|
|
sampling_params=request.sampling_params,
|
|
pooling_params=request.pooling_params,
|
|
block_ids=block_ids,
|
|
num_computed_tokens=request.num_computed_tokens,
|
|
lora_request=request.lora_request,
|
|
prompt_embeds=request.prompt_embeds,
|
|
additional_information=request.additional_information,
|
|
)
|