onnxruntime-web/dist/ort-wasm-simd-threaded.jspi.mjs

A Javascript library for running ONNX models on browsers

async function ortWasmThreaded(moduleArg={}){var moduleRtn;var g=moduleArg,aa=!!globalThis.window,ba=!!globalThis.WorkerGlobalScope,k=globalThis.process?.versions?.node&&"renderer"!=globalThis.process?.type,m=ba&&self.name?.startsWith("em-pthread");if(k){const {createRequire:a}=await import("module");var require=a(import.meta.url),ca=require("worker_threads");global.Worker=ca.Worker;m=(ba=!ca.S)&&"em-pthread"==ca.workerData}g.mountExternalData=(a,b)=>{a.startsWith("./")&&(a=a.substring(2));(g.o||(g.o=new Map)).set(a,b)};
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g.webnnInit=a=>{const b=a[0];[g.R,g.C,g.webnnEnsureTensor,g.D,g.webnnDownloadTensor,g.P,g.webnnEnableTraceEvent]=a.slice(1);g.webnnReleaseTensorId=g.C;g.webnnUploadTensor=g.D;g.webnnRegisterMLContext=g.P;g.webnnOnRunStart=c=>b.onRunStart(c);g.webnnOnRunEnd=b.onRunEnd.bind(b);g.webnnOnReleaseSession=c=>{b.onReleaseSession(c)};g.webnnCreateMLTensorDownloader=(c,d)=>b.createMLTensorDownloader(c,d);g.webnnRegisterMLTensor=(c,d,e,f)=>b.registerMLTensor(c,d,e,f);g.webnnCreateMLContext=c=>b.createMLContext(c);
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