oMj " SSKJr SSKrSSKrSSKJr SSKrSSKJ r SSK J r SSK J r JrJrJr \"5(aSSKr\R&"\5r\R,\R.\R0\R2\R4\R6\R8\R:\R<\R>\R@\RBS. r""S S 5r#g) ) annotationsN)Path)hf_hub_download)validate_hf_hub_args)ONNX_EXTERNAL_WEIGHTS_NAMEONNX_WEIGHTS_NAMEis_onnx_availablelogging) z tensor(bool)z tensor(int8)z tensor(uint8)z tensor(int16)ztensor(uint16)z tensor(int32)ztensor(uint32)z tensor(int64)ztensor(uint64)ztensor(float16)z tensor(float)ztensor(double)c\rSrSrS SjrSr\S S Sjj5rS SSjjrSSjr \ \ SSSjj55r \ \ SSS jj55r S rg)OnnxRuntimeModel4Nc [RS5 XlURSS5UlURS[ 5Ulg)NzL`diffusers.OnnxRuntimeModel` is experimental and might change in the future.model_save_dirlatest_model_name)loggerinfomodelgetrr r)selfrkwargss ڬC:\Users\johnn\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.13_qbz5n2kfra8p0\LocalCache\local-packages\Python313\site-packages\diffusers/pipelines/onnx_utils.py__init__OnnxRuntimeModel.__init__5s= bc $jj)94@!',?AR!Sc UR5VVs0sHup#U[R"U5_M nnnURR SU5$s snnfN)itemsnparrayrrun)rrkvinputss r__call__OnnxRuntimeModel.__call__;sD-3\\^<^TQ!RXXa[.^<zz~~dF++=s#AcUc[RS5 SnUc/nO[U[5(dU/n[R "X/X#S9$)a= Loads an ONNX Inference session with an ExecutionProvider. 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