002f9879b2
Replaces cherry-picked upstream_ref with complete source trees. xllm/ — Iluvatar official C++ inference engine (15MB, 1470 files) Complete: kernels → layers → models → runtime → scheduler → api Excluded: .git, binary images, third_party submodule checkouts ds_vllm/ — Iluvatar official vllm fork (8MB, 703 files) Included: csrc/ (ALL CUDA kernels), fused_moe/, qwen3_5 model, _custom_ops Excluded: tests, benchmarks, docs, examples (not needed for reference) Critical call chains now fully traceable: MoE: moe_topk_softmax_kernels.cuh → ixformer.h → fused_moe.cpp → layer GDN: qwen3_gated_delta_net_base.cpp → qwen3_5_gated_delta_net.cpp Attention: ixformer.h → xllm_paged_attention → attention.cpp
79 lines
2.4 KiB
Python
79 lines
2.4 KiB
Python
from typing import Any, List, Optional, Type, Union
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from xllm_export import RequestParams
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class _RequestParamsProxy:
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def __init__(self, **kwargs: Any) -> None:
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object.__setattr__(self, "_request_params", RequestParams())
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for key, value in kwargs.items():
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self._set_field(key, value)
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def _set_field(self, key: str, value: Any) -> None:
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if not hasattr(self._request_params, key):
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raise TypeError(f"Unexpected parameter: {key}")
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setattr(self._request_params, key, value)
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def __getattr__(self, key: str) -> Any:
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return getattr(self._request_params, key)
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def __setattr__(self, key: str, value: Any) -> None:
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if key == "_request_params":
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object.__setattr__(self, key, value)
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return
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self._set_field(key, value)
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def to_request_params(self) -> RequestParams:
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return self._request_params
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class SamplingParams(_RequestParamsProxy):
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pass
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class BeamSearchParams(SamplingParams):
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def __init__(self,
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beam_width: int = 1,
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max_tokens: int = 16,
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**kwargs: Any) -> None:
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super().__init__(beam_width=beam_width, max_tokens=max_tokens, **kwargs)
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class PoolingParams(_RequestParamsProxy):
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def __init__(self, **kwargs: Any) -> None:
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super().__init__(**kwargs)
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self.is_embeddings = True
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ParamLike = Union[RequestParams, _RequestParamsProxy]
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ParamsLike = Optional[Union[ParamLike, List[ParamLike]]]
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def to_request_params(
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params: Optional[ParamLike],
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default_cls: Type[_RequestParamsProxy] = SamplingParams,
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) -> RequestParams:
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if params is None:
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return default_cls().to_request_params()
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if isinstance(params, RequestParams):
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return params
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if isinstance(params, _RequestParamsProxy):
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return params.to_request_params()
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raise TypeError(
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"Unsupported params type. Expected RequestParams, SamplingParams, "
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"BeamSearchParams, or PoolingParams."
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)
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def to_request_params_list(
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params: ParamsLike,
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default_cls: Type[_RequestParamsProxy] = SamplingParams,
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) -> List[RequestParams]:
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if params is None:
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return [default_cls().to_request_params()]
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if isinstance(params, list):
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if len(params) == 0:
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return [default_cls().to_request_params()]
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return [to_request_params(item, default_cls=default_cls) for item in params]
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return [to_request_params(params, default_cls=default_cls)]
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