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Supported engines: r@)rErAlist)rB supportedrHs rD_resolve_default_paddle_enginerZosM&z2I5  M6  "9o0 3 rTcUS:waUS4$Uc [U5S4$[X5n[U5nUc[SU<S35eXC4$)Npaddlez$No Paddle model files were found in r@)rZrSr;rA)rBrHrQmodel_dir_resolvedresolved_engines rD_resolve_requested_enginer_zsf t|-j94??+JB<=OPO? }ANOO  ..rTc@[U5S:H$![a gf=f)N)flexibleF)rErA)rBs rD_is_flexible_only_modelrbs)%j1]BB s  c[R"U5"5$![Ran[ SU<S35UeSnAff=f)NzUnsupported engine: r@)rgetrClassNotFoundExceptionrA)rHrCs rD_get_inference_enginerfsKD""6*,,  ( (D/z;UbU$US:XaU$US:XaU$US:XaU$g)NrVrrrrrH engine_config pp_option hpi_configrs rD_select_engine_config_sourcers<      rTc`UcUR(dU$[UUUR5S9$)NrK)needs_local_modelrSget_supported_model_formatsinference_enginerBrQr]s rD_resolve_local_model_dirrs8%-=-O-O!! &BBD rTcnU(dg[R"U5nXSS:wa [S5eU$)NGlobalrBu9Model name mismatch，please input the correct model dir.)r, load_configrA)rrBrQconfigs rD_load_local_model_configrs;   & &y 1FH%l33TVV MrTc[U[5(dgSSKJn [ X5(d#[ S[ U5R<S35eURUUUUUS9$)Nr) RunnerEnginezInferenceEngine z& does not support runner construction.)rBrQ model_configrbinding) issubclassr.enginesrrx RuntimeErrorryrz build_runner) predictor_clsrrrBrQrrrs rD_build_predictor_runnerr&ss m_ 5 5% & 5 5t$45>>AAg h    ( (!# ) rTc URnUUS.n U(aXYS'[UUUUUUUS9n U bXS'[U[5(aXiS'XyS'U $)N)rB batch_sizer)rrrrBrQrrrunnerrQr) predictorrrr-) rrrBrnormalized_engine_configpredictor_engine_configrQrr create_kwargsrs rD_build_predictor_kwargsrAs|%%M  M)@o& $#)!.F"(h-!455%.k"(4n% rTF) rQrhrHrrrrrrc *U(aUb[R"SU5 [UUS9up n [XXy5n[ XU5up;[ U5n [ X5nU Rn[U UUU S9n [UUUUU S9n[UU5n[UUUUS9nU(aU RU 5 U R5 U (a U(aU nO [UUU S9nU RU5n[!UUUUUU UU S9nUR""S0UDU D6$) aCreate a predictor for the given model and engine. Args: model_name: Model name. model_dir (Optional[str]): Path to model directory. Required for local engines when the model is not official. Ignored when a local model is not needed. device (Optional[str]): Device to run on (e.g. `'gpu'`, `'cpu'`). Used by local engines. engine (Optional[str]): Inference engine. One of `'paddle'` (resolved to `paddle_static` or `paddle_dynamic` from local model files when `model_dir` is provided; otherwise resolved from predictor support, preferring `paddle_static`), `'paddle_static'`, `'paddle_dynamic'`, `'hpi'`, `'flexible'`, `'transformers'`, `'onnxruntime'`, `'genai_client'`, or `None`. When `None`: if `genai_config.backend` is a server backend, engine becomes `'genai_client'`; else if `use_hpip=True` and model supports hpi, engine becomes `'hpi'`; else if model is flexible-only, engine becomes `'flexible'`; otherwise defaults to `'paddle'`. engine_config (Optional[Dict[str, Any]]): Engine-specific config for the resolved engine (flat dict), **or** a bucketed dict whose top-level keys are only registered engine names (e.g. ``hpi``, ``paddle_static``), each mapping to a nested dict. Bucketed and flat keys must not be mixed at the same level; use either form exclusively. batch_size (int): Batch size for inference. Defaults to 1. pp_option (Optional[PaddlePredictorOption]): Paddle predictor options. Used when `engine='paddle_static'` and `engine_config` is not specified. Prefer `engine_config` for new code. use_hpip: When `engine` is `None`, if `True`, resolves to `engine='hpi'`. Ignored when `engine` is set. hpi_config (Optional[Union[Dict[str, Any], HPIConfig]]): HPI configuration. Used when `engine='hpi'` and `engine_config` is not specified. Prefer `engine_config` for new code. genai_config (Optional[Union[Dict[str, Any], GenAIConfig]]): GenAI configuration. Mainly used when `engine='genai_client'` and `engine_config` is not specified. Prefer `engine_config` for new code. Returns: A predictor instance. z`use_hpip` only takes effect when `engine` is None. Since engine=%r is explicitly set, use_hpip will be ignored. 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