136 lines
3.7 KiB
Python
136 lines
3.7 KiB
Python
from dataclasses import dataclass
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from enum import Enum
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from typing import List, Mapping, Optional, Union, overload
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from vllm import PoolingParams
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from vllm.inputs import PromptType
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from vllm.lora.request import LoRARequest
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from vllm.outputs import RequestOutput
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from vllm.prompt_adapter.request import PromptAdapterRequest
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from vllm.sampling_params import SamplingParams
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from vllm.utils import deprecate_kwargs
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VLLM_RPC_SUCCESS_STR = "SUCCESS"
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IPC_INPUT_EXT = "_input_socket"
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IPC_OUTPUT_EXT = "_output_socket"
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IPC_HEALTH_EXT = "_health_socket"
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IPC_DATA_EXT = "_data_socket"
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class MQEngineDeadError(RuntimeError):
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pass
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@dataclass
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class RPCProcessRequest:
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prompt: PromptType
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params: Union[SamplingParams, PoolingParams]
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request_id: str
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lora_request: Optional[LoRARequest] = None
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trace_headers: Optional[Mapping[str, str]] = None
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prompt_adapter_request: Optional[PromptAdapterRequest] = None
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priority: int = 0
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@overload # DEPRECATED
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def __init__(
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self,
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*,
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inputs: PromptType,
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params: Union[SamplingParams, PoolingParams],
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request_id: str,
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lora_request: Optional[LoRARequest] = None,
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trace_headers: Optional[Mapping[str, str]] = None,
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prompt_adapter_request: Optional[PromptAdapterRequest] = None,
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priority: int = 0,
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) -> None:
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...
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@overload
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def __init__(
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self,
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prompt: PromptType,
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params: Union[SamplingParams, PoolingParams],
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request_id: str,
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lora_request: Optional[LoRARequest] = None,
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trace_headers: Optional[Mapping[str, str]] = None,
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prompt_adapter_request: Optional[PromptAdapterRequest] = None,
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priority: int = 0,
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) -> None:
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...
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@deprecate_kwargs(
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"inputs",
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additional_message="Please use the 'prompt' parameter instead.",
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)
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def __init__(
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self,
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prompt: Optional[PromptType] = None,
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params: Optional[Union[SamplingParams, PoolingParams]] = None,
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request_id: Optional[str] = None,
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lora_request: Optional[LoRARequest] = None,
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trace_headers: Optional[Mapping[str, str]] = None,
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prompt_adapter_request: Optional[PromptAdapterRequest] = None,
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priority: int = 0,
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*,
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inputs: Optional[PromptType] = None, # DEPRECATED
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) -> None:
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if inputs is not None:
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prompt = inputs
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assert (prompt is not None and params is not None
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and request_id is not None)
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super().__init__()
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self.prompt = prompt
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self.params = params
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self.request_id = request_id
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self.lora_request = lora_request
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self.trace_headers = trace_headers
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self.prompt_adapter_request = prompt_adapter_request
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self.priority = priority
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@dataclass
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class RPCError:
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request_id: Optional[str]
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is_engine_errored: bool
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exception: BaseException
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@dataclass
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class RPCAbortRequest:
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request_id: str
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class RPCStartupRequest(Enum):
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IS_SERVER_READY = 1
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@dataclass
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class RPCStartupResponse:
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tracing_enabled: bool
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class RPCUProfileRequest(Enum):
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START_PROFILE = 1
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STOP_PROFILE = 2
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RPC_REQUEST_T = Union[RPCProcessRequest, RPCAbortRequest, RPCStartupRequest,
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RPCUProfileRequest]
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REQUEST_OUTPUTS_T = Union[List[RequestOutput], RPCError]
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def ENGINE_DEAD_ERROR(
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error: Optional[BaseException] = None) -> MQEngineDeadError:
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if error is None:
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return MQEngineDeadError(
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"Engine loop is not running. Inspect the stacktrace to "
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"find the original error")
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return MQEngineDeadError(
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"Engine loop is not running. Inspect the stacktrace to "
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f"find the original error: {repr(error)}.")
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