onnxruntime-web/dist/ort.node.min.mjs

A Javascript library for running ONNX models on browsers

/*!
 * ONNX Runtime Web v1.20.0-dev.20240924-cfa45df6b5
 * Copyright (c) Microsoft Corporation. All rights reserved.
 * Licensed under the MIT License.
 */
import{createRequire}from"module";const require=createRequire(import.meta.url);
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as Ze}from"onnxruntime-common";var et,Bt,re,tt=T(()=>{"use strict";ge();le();K();fe();et=(e,t)=>{switch(e.location){case"cpu":return[e.type,e.dims,e.data,"cpu"];case"gpu-buffer":return[e.type,e.dims,{gpuBuffer:e.gpuBuffer},"gpu-buffer"];default:throw new Error(`invalid data location: ${e.location} for ${t()}`)}},Bt=e=>{switch(e[3]){case"cpu":return new Ke(e[0],e[2],e[1]);case"gpu-buffer":{let t=e[0];if(!te(t))throw new Error(`not supported data type: ${t} for deserializing GPU tensor`);let{gpuBuffer:n,download:o,dispose:r}=e[2];return Ke.fromGpuBuffer(n,{dataType:t,dims:e[1],download:o,dispose:r})}default:throw new Error(`invalid data location: ${e[3]}`)}},re=class{async fetchModelAndCopyToWasmMemory(t){return qe(await q(t))}async loadModel(t,n){Qe();let o;typeof t=="string"?B?o=await q(t):o=await this.fetchModelAndCopyToWasmMemory(t):o=t,[this.sessionId,this.inputNames,this.outputNames]=await Ve(o,n),Ze()}async dispose(){return Je(this.sessionId)}async run(t,n,o){Qe();let r=[],a=[];Object.entries(t).forEach(i=>{let b=i[0],f=i[1],g=this.inputNames.indexOf(b);if(g===-1)throw new Error(`invalid input '${b}'`);r.push(f),a.push(g)});let s=[],u=[];Object.entries(n).forEach(i=>{let b=i[0],f=i[1],g=this.outputNames.indexOf(b);if(g===-1)throw new Error(`invalid output '${b}'`);s.push(f),u.push(g)});let c=r.map((i,b)=>et(i,()=>`input "${this.inputNames[a[b]]}"`)),d=s.map((i,b)=>i?et(i,()=>`output "${this.outputNames[u[b]]}"`):null),y=await Ye(this.sessionId,a,c,u,d,o),l={};for(let i=0;i<y.length;i++)l[this.outputNames[u[i]]]=s[i]??Bt(y[i]);return Ze(),l}startProfiling(){}endProfiling(){Xe(this.sessionId)}}});var nt={};mt(nt,{OnnxruntimeWebAssemblyBackend:()=>ne,initializeFlags:()=>rt,wasmBackend:()=>Ut});import{env as v}from"onnxruntime-common";var rt,ne,Ut,ot=T(()=>{"use strict";ge();tt();Q();rt=()=>{if((typeof v.wasm.initTimeout!="number"||v.wasm.initTimeout<0)&&(v.wasm.initTimeout=0),v.wasm.simd===!1&&console.warn('Deprecated property "env.wasm.simd" is set to false. non-SIMD build is no longer provided, and this setting will be ignored.'),typeof v.wasm.proxy!="boolean"&&(v.wasm.proxy=!1),typeof v.wasm.trace!="boolean"&&(v.wasm.trace=!1),typeof v.wasm.numThreads!="number"||!Number.isInteger(v.wasm.numThreads)||v.wasm.numThreads<=0)if(typeof self<"u"&&!self.crossOriginIsolated)v.wasm.numThreads=1;else{let e=typeof navigator>"u"?se("node:os").cpus().length:navigator.hardwareConcurrency;v.wasm.numThreads=Math.min(4,Math.ceil((e||1)/2))}v.wasm.wasmPaths===void 0&&M&&M.indexOf("blob:")!==0&&(v.wasm.wasmPaths=M.substring(0,M.lastIndexOf("/")+1))},ne=class{async init(t){rt(),await ze(),await Ge(t)}async createInferenceSessionHandler(t,n){let o=new re;return await o.loadModel(t,n),Promise.resolve(o)}},Ut=new ne});export*from"onnxruntime-common";import*as _t from"onnxruntime-common";import{registerBackend as st,env as Mt}from"onnxruntime-common";var Oe="1.20.0-dev.20240924-cfa45df6b5";var Cr=_t;{let e=(ot(),yt(nt)).wasmBackend;st("cpu",e,10),st("wasm",e,10)}Object.defineProperty(Mt.versions,"web",{value:Oe,enumerable:!0});export{Cr as default};
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