82 lines
3.5 KiB
Python
82 lines
3.5 KiB
Python
# -*- coding: utf-8 -*-
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"""华为昇腾 NPU 推理后端实现（ACL/CANN）。
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对应 PRD 5.6：昇腾实现（ACL/CANN）——通过昇腾推理服务
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（MindIE / onnxruntime-ascend）的 OpenAI 兼容接口对外提供推理，
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与 NVIDIA GPU 后端实现同一 `InferenceBackend` 接口：
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**切换后端仅改适配层配置，业务代码零改动**。
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"""
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from inference_backend.base import InferenceBackend, InferRequest, InferResult
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class AscendNpuBackend(InferenceBackend):
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"""华为昇腾 NPU 后端：面向昇腾 310P/910B（CANN/MindIE）。"""
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backend_name = "npu"
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def __init__(self, endpoint: str = "", model: str = "iaop-default",
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timeout_seconds: float = 10.0, runtime: str = "mindie",
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device: str = "ascend-910b", cann_version: str = "8.0",
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**kwargs):
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super().__init__(endpoint, model, timeout_seconds)
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self.runtime = runtime # mindie | onnx-ascend
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self.device = device # ascend-310p | ascend-910b
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self.cann_version = cann_version # CANN 工具链版本
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self._loaded = False
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def load_model(self, model_name: str | None = None) -> dict:
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"""加载模型到 NPU（ACL aclmdlLoadFromFile 语义）。"""
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model_name = model_name or self.model
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if not self.endpoint:
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self._loaded = True
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return {"status": "ok", "backend": self.backend_name,
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"model": model_name, "device": self.device,
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"reason": "dry-run（未配置 endpoint）"}
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body = self._post_json("/acl/models/load",
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{"model": model_name, "device": self.device,
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"cann_version": self.cann_version})
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self._loaded = body.get("status") in ("ok", "loaded", "ready")
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return body
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def infer(self, request: InferRequest) -> InferResult:
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"""昇腾推理（MindIE OpenAI 兼容 /v1/chat/completions）。"""
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import time
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started = time.monotonic()
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payload = request.to_payload()
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payload["model"] = payload["model"] or self.model
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body = self._post_json("/v1/chat/completions", payload)
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latency_ms = round((time.monotonic() - started) * 1000, 2)
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try:
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text = body["choices"][0]["message"]["content"]
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except (KeyError, IndexError, TypeError):
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text = str(body)
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return InferResult(
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text=text,
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backend=self.backend_name,
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latency_ms=latency_ms,
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meta={"runtime": self.runtime, "device": self.device,
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"cann_version": self.cann_version, "model": self.model,
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"raw": body},
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)
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def health(self) -> dict:
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"""健康巡检：探测 /health，返回后端/设备/CANN 版本信息。"""
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base = self._healthz()
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base.update({
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"backend": self.backend_name,
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"runtime": self.runtime,
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"device": self.device,
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"cann_version": self.cann_version,
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"model": self.model,
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"loaded": self._loaded,
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})
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return base
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def unload(self) -> dict:
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"""卸载模型、释放 NPU 资源（ACL aclmdlUnload 语义）。"""
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self._loaded = False
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if not self.endpoint:
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return {"status": "ok", "backend": self.backend_name,
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"reason": "dry-run（未配置 endpoint）"}
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return self._post_json("/acl/models/unload", {"model": self.model})
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