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

A Javascript library for running ONNX models on browsers

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function kd(){var a=F;a=Object.assign({},a);var b=d=>e=>d(e)>>>0,c=d=>()=>d()>>>0;a.__getTypeName=b(a.__getTypeName);a.pthread_self=c(a.pthread_self);a.malloc=b(a.malloc);a.memalign=(d=>(e,f)=>d(e,f)>>>0)(a.memalign);a._emscripten_stack_alloc=b(a._emscripten_stack_alloc);a.emscripten_stack_get_current=c(a.emscripten_stack_get_current);return a}function Ba(){0<Vd?Wd=Ba:m?(va?.(g),Pa()):(Ud(),0<Vd?Wd=Ba:async function(){g.calledRun=!0;sa||(Pa(),va?.(g))}())}var F;m||(F=await (Aa()),Ba());
g.PTR_SIZE=4;
g.webgpuInit=a=>{const b=new WeakMap;let c=1,d=void 0,e=void 0;g.webgpuRegisterDevice=l=>{if(void 0!==e)throw Error("another WebGPU EP inference session is being created.");if(l){var n=b.get(l);if(!n){n=rd(0);const t=bf(l,n);n=[c++,n,t];b.set(l,n)}d=l;e=n[0];return n}d=void 0;e=0};const f=new Map;g.webgpuOnCreateSession=l=>{if(void 0!==e){var n=e;e=void 0;if(l){const t=nd(n);f.set(l,t);0===n&&a(d??Y(t))}d=void 0}};g.webgpuOnReleaseSession=l=>{f.delete(l)};const h=Symbol("gpuBufferMetadata");g.webgpuRegisterBuffer=
(l,n,t)=>{if(t)return l[h]=[t,NaN],t;if(t=l[h])return t[1]++,t[0];n=f.get(n);if(void 0===n)throw Error("Invalid session handle passed to webgpuRegisterBuffer");n=af(l,n);l[h]=[n,1];return n};g.webgpuUnregisterBuffer=l=>{const n=l[h];if(!n)throw Error("Buffer is not registered");n[1]--;0===n[1]&&(qd(n[0]),delete l[h])};g.webgpuGetBuffer=l=>Y(l);g.webgpuCreateDownloader=(l,n,t)=>{t=f.get(t);if(void 0===t)throw Error("Invalid session handle passed to webgpuRegisterBuffer");const y=Y(t),p=16*Math.ceil(Number(n)/
16);return async()=>{const v=y.createBuffer({size:p,usage:9});try{const z=y.createCommandEncoder();z.copyBufferToBuffer(l,0,v,0,p);y.queue.submit([z.finish()]);await v.mapAsync(GPUMapMode.READ);return v.getMappedRange().slice(0,n)}finally{v.destroy()}}};g.F=(l,n)=>{var t=n.buffer;const y=n.byteOffset,p=n.byteLength;n=16*Math.ceil(Number(p)/16);l=Y(l);if(!d){var v=nd(e);d=Y(v)}v=d.createBuffer({mappedAtCreation:!0,size:n,usage:6});const z=v.getMappedRange();(new Uint8Array(z)).set(new Uint8Array(t,
y,p));v.unmap();t=d.createCommandEncoder();t.copyBufferToBuffer(v,0,l,0,n);d.queue.submit([t.finish()]);v.destroy()}};
g.webnnInit=a=>{const b=a[0];[g.V,g.G,g.webnnEnsureTensor,g.H,g.webnnDownloadTensor,g.U,g.webnnEnableTraceEvent]=a.slice(1);g.webnnReleaseTensorId=g.G;g.webnnUploadTensor=g.H;g.webnnRegisterMLContext=g.U;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);
g.webnnRegisterMLConstant=(c,d,e,f,h,l)=>b.registerMLConstant(c,d,e,f,h,g.o,l);g.webnnRegisterGraphInput=b.registerGraphInput.bind(b);g.webnnIsGraphInput=b.isGraphInput.bind(b);g.webnnRegisterGraphOutput=b.registerGraphOutput.bind(b);g.webnnIsGraphOutput=b.isGraphOutput.bind(b);g.webnnCreateTemporaryTensor=b.createTemporaryTensor.bind(b);g.webnnIsGraphInputOutputTypeSupported=b.isGraphInputOutputTypeSupported.bind(b)};Oa?moduleRtn=g:moduleRtn=new Promise((a,b)=>{va=a;wa=b});
;return moduleRtn}export default ortWasmThreaded;var isPthread=globalThis.self?.name?.startsWith("em-pthread");var isNode=globalThis.process?.versions?.node&&globalThis.process?.type!="renderer";if(isNode)isPthread=(await import("worker_threads")).workerData==="em-pthread";isPthread&&ortWasmThreaded();